Discover the advantages of Advanced Independent Practice - Gastrointestinal Associates - powered by GI Alliance.

As a member of GI Alliance (GIA), Gastrointestinal Associates is supported by the nation’s leading patient-focused, excellence-driven gastroenterology network that is physician-owned and led. This partnership empowers Gastrointestinal Associates to deliver superior, individualized patient care by leveraging GI Alliance’s robust, world-class business and organizational support, ensuring our physicians can focus on what they do best – providing top-notch care in a successful and dynamic private practice setting. 

Practice Opportunities:

• Employed Position with Partnership Track
• Local Autonomy with National Resources
• Generous Financial Package
• Relocation Allowance, Signing Bonus & Annual CME

Practice Model: 

• Great Work/Life Balance
• Guaranteed base salary with a productivity bonus for first 2 years
• Paid Call - responsibilities shared amongst all partners

Why Columbia is the Place to Be: Nestled in the heart of the Show-Me State, Columbia (or "CoMo" to the locals) is the ultimate college town that grew up into a sophisticated city. It’s a place where you can catch a documentary at a world-renowned film festival in the morning and be deep in a limestone canyon by the afternoon. With a population of about 128,000, Columbia strikes that perfect balance: it has the progressive energy of a major university hub but maintains a friendly, mid-sized Missouri charm where neighbors still look out for one another.

Columbia Lifestyle:

• The Mizzou Energy: As home to the University of Missouri, the city pulses with SEC spirit, black-and-gold pride, and a constant influx of new ideas.
• The District: A vibrant, 50-square-block downtown filled with local boutiques, indie record stores, and a food scene that punches way above its weight class.
• True/False Fest: The city transforms annually for the True/False Film Fest, one of the most respected documentary festivals in the world, giving the town a unique bohemian flair.

New data center development:

We give you the opportunity to work with cutting-edge technologies in data operations, cloud computing and infrastructure management. As global data center operations grow, there will be ample opportunities for career progression. Working in the data center directly impacts performance, customer satisfaction and efficiency, with the opportunity to contribute to new data center projects.You’ll collaborate with experts in AI data center development and operations, gaining insights from leaders in the field. This environment fosters innovation, and allows you to work on solutions that exceed industry standards in design and deployment.

The role

We are looking for Warehouse Logistics Specialist to support warehouse and logistics operations for data center hardware. This role focuses on execution of inbound and outbound shipments, maintaining inventory accuracy, and ensuring timely equipment provisioning for data center operations.The position requires strong attention to detail, hands-on work with IT equipment, and adherence to established processes and standards.

Your responsibilities will include: 

1. Warehouse & Shipment Operations

• Process inbound and outbound shipments in accordance with established procedures.
• Verify shipment contents against documentation upon receipt and dispatch.
• Ensure proper handling, labeling, and packaging of equipment.
• Coordinate with warehouse providers and internal teams on shipment execution.

2. Inventory & Asset Management

• Participate in cyclical and annual inventory checks.
• Maintain accurate records in inventory systems (ERP/WMS).
• Create inventory items for all received equipment.
• Assist in identifying and reporting inventory discrepancies.

3. Equipment Handling & Testing

• Perform testing of server drives and memory modules according to standard procedures.
• Ensure equipment readiness before provisioning to data center engineers.
• Maintain proper documentation of tested and deployed equipment.

4. Operational Support

• Provide required equipment to data center operation engineers in a timely manner.
• Support daily warehouse activities and logistics workflows.
• Follow SOPs and contribute to process improvement suggestions.

We expect you to have:

• 2+ years of experience in warehouse logistics or a related field.
• Basic understanding of IT equipment (servers, networking hardware, components).
• Familiarity with inventory management processes and systems (ERP/WMS).
• Strong attention to detail and organizational skills.
• Ability to follow procedures and work in a structured environment.
• Willingness to travel for business needs.

Key Employee Benefits:

• Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) Plan: Up to 4% company match with immediate vesting.
• Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage.

Compensation

We offer a competitive rate from $30/hr - 44/hr, based on your experience.

Join Nebius Today!

The Team 

You will join a fast-growing Neocloud infrastructure organization operating at the intersection of AI, high-performance computing (HPC), and hyperscale cloud services. Our data centers host large-scale GPU clusters purpose-built for AI training, inference, and accelerated workloads. 

As global data center operations expand, this role offers significant career progression, direct involvement in new data center builds and expansions, and exposure to industry-leading GPU platforms. Your work will have a measurable impact on platform reliability, customer SLAs, and operational efficiency, while collaborating closely with experts in AI infrastructure design, cloud operations, and data center engineering. 

This is a highly collaborative, innovation-driven environment where best practices are continuously refined to exceed industry standards in design, deployment, and operations. 

As an IT Manager, you will be key in ensuring the maintenance and efficiency of our data center's IT infrastructure.

Your role involves leading a team that works directly with cutting-edge technologies, including the advanced GPU cloud clusters. You’ll be responsible for overseeing the IT infrastructure, handling hardware troubleshooting and resolution, and ensuring critical systems run smoothly.

You’re also welcome to work on-site at our colocation facility in Kansas City Metropolitan Area

Your responsibilities will include: 

• Manage IT support team to achieve KPI in IT infrastructure support and project planning.

• Collaborating effectively with internal teams and external contractors to address technical and operational challenges.

• Developing clear and comprehensive documentation and manuals for hardware configuration, troubleshooting and maintenance.

• Planning, executing and monitoring regular IT tasks to maintain and improve IT infrastructure operations.

• Manage IT support that includes diagnosing and resolving issues related to IT hardware and ensure the continuous support of the data center’s IT infrastructure.

• Manage Project tasks that include installation, upgrading and dismantling of hardware based on operational requests and requirements.

• Manage additional processes around asset management, Return Merchandise Authorizations (RMAs).

We expect you to have:

• 5+ years of team management, hands-on experience in diagnosing and resolving server hardware issues.

• A solid understanding of data center operations, as well as server and network equipment principles.

• Practical experience in project planning and management.

• Knowledge of the ITIL methodology, the operational activities of the technical support service (ITSM).

• Basic proficiency in the Linux operating system and familiarity with command-line tools.

• Practical experience working with server IT hardware, enterprise-grade network switches and fiber optic cables.

• Advanced Excel skills, including proficiency with pivot tables, formulas, lists and graph creation.

• A proactive, responsible and goal-oriented approach to work.

It will be an added bonus if you have:

• ITIL and/or PMI certification.

• Driving License (Category B)

Compensation:

• $146,880 – $220,320 + Bonus USD per year, depending on experience and qualifications (Annual Bonus Eligible)

Summary: 

Locations: United States
Duration: 2-3 months
Start date: June 2026 
Compensation: Paid
Eligibility: Current college/university student (Computer Science or related field), Recent Graduate or Early Career specialist
Work authorization: Permitted to work in the job’s location

Role description 

As an IT Datacenter Technician Intern, you will learn to play a vital role in maintaining and optimizing IT infrastructure within our data centers. This includes working hands-on with modern GPU cloud cluster technologies. Your responsibilities will involve learning how to support data center IT infrastructure, troubleshoot and resolve hardware issues, perform physical hardware repairs, and ensure the smooth operation of critical systems.

This is a shift-based role and provides an opportunity to become a full-time Nebius L1 IT Technician.

Skills you will learn: 

• Diagnosing and resolving issues related to IT hardware, while ensuring continuous support of the data center’s IT infrastructure.
• Collaborating effectively with internal teams and external contractors to address technical and operational challenges.
• Installing, upgrading, and dismantling hardware based on operational requests and requirements.
• Managing and maintaining the connectivity of fiber optic cables and patch cords.
• Planning, executing, and monitoring regular IT tasks to maintain and improve infrastructure operations.
• Processing Return Merchandise Authorizations (RMAs) in compliance with established manuals and procedures.
• Developing clear and comprehensive documentation and manuals for hardware configuration, troubleshooting, and maintenance.
• Collaborating cross-functionally with other teams.

We expect you to have: 

• Enrollment in or recent graduation from an accredited college, university, or technical school with a focus on Information Technology, Computer Science, Engineering, or a related field.
• Be at least 18 years old by the internship start date.
• Be eligible to work in the country where the position is located, without requiring sponsorship.
• A demonstrated strong interest and foundational knowledge in IT data center operations, networking, hardware, and software.
• The ability to comply with all safety, security, and confidentiality policies of the IT data center.
• Availability to commit to the full internship duration (minimum of 8 weeks, full-time).

What we offer:

• Competitive salary and comprehensive benefits package.
• Mentorship from experienced infrastructure professionals.
• Hands-on experience with real workloads and systems.
• A dynamic and collaborative work environment that values initiative and innovation.
• Opportunity to be considered for a full-time role after the Early Talent Program.

• Health insurance: 100% company-paid medical, dental and vision coverage for employees and families.
• 401(k) plan: Up to 4% company match with immediate vesting.
• Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Remote work reimbursement: Up to $85/month for mobile and internet.
• Disability & life insurance: Company-paid short-term, long-term and life insurance coverage.

We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!

The role

Nebius operates large-scale, GPU-dense AI infrastructure across mission-critical data center environments. As a Senior Delivery Deployment Engineer, you will own the end-to-end delivery, deployment, and production readiness of next-generation GPU platforms inside our data centers. This role sits at the intersection of hardware, Linux systems, and operational execution. You will lead on-site rack bring-up, validate NVIDIA-based AI systems, coordinate repairs, and ensure GB-series infrastructure moves from installation to fully operational production environments with precision and reliability. You will collaborate closely with hardware engineering, networking, and infrastructure teams to deploy and stabilize H200 and B200-based GPU systems at scale.

Your responsibilities will include:

• Lead end-to-end deployment of GB-series racks within data center environments
• Oversee installation, bring-up, validation, and production readiness of NVIDIA H200 and B200-based servers
• Troubleshoot complex hardware, firmware, Linux OS, and networking issues
• Execute structured testing and validation procedures during deployment
• Develop and maintain basic Linux-based hardware health-check and diagnostic scripts
• Coordinate on-site hardware repairs, part replacements, and vendor escalations
• Drive root cause analysis and ensure corrective actions are implemented
• Manage and prioritize deployment timelines across multiple concurrent rollouts
• Provide technical leadership and guidance to on-site engineers and technicians
• Partner with networking and infrastructure teams to ensure seamless integration
• Document deployment processes, validation standards, and operational runbooks

What we expect you to have:

• Strong hands-on experience deploying and operating data center infrastructure
• Deep familiarity with GPU-dense systems, ideally NVIDIA H-series platforms
• Experience working with high-density rack deployments (GB-series or similar)
• Solid Linux experience, including troubleshooting and scripting
• Ability to diagnose issues across hardware, OS, firmware, and network layers
• Experience coordinating field repairs and working directly with hardware vendors
• Proven experience leading technical teams or overseeing field operations
• High ownership mindset and ability to operate in production-critical environments
• Clear communication skills and ability to collaborate across distributed teams

It will be an added bonus if you have:

• Experience deploying AI or HPC clusters at scale
• Familiarity with automated provisioning or infrastructure lifecycle systems
• Background in hardware qualification, burn-in testing, or factory validation
• Experience supporting rapid infrastructure expansion
• Exposure to ARM-based or heterogeneous compute environments

Working conditions:

• Collaboration with globally distributed engineering and operations teams

Key employee benefits:

• Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families
• 401(k) plan: up to 4% company match with immediate vesting
• Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers
• Remote work reimbursement: up to $85/month for mobile and internet
• Disability & life insurance: company-paid short-term, long-term, and life insurance coverage

Compensation

• We offer competitive salaries, ranging from $125k- $180k base + quarterly performance bonuses.

Join Nebius today and help build the software that powers the next generation ofAI infrastructure.

The role 

As an IT Datacenter Technician, you will play a vital role in maintaining and optimizing the IT infrastructure within our data center. This includes working hands-on with modern technologies such as the advanced H200 GPU cloud cluster. Your responsibilities will encompass supporting the data center’s IT infrastructure, troubleshooting and resolving hardware issues, and ensuring the smooth operation of critical systems. Your responsibilities will include troubleshooting and resolving hardware issues, performing hardware and network diagnostics, ensuring the smooth operation of critical systems, and carrying out physical repairs. The role may also involve travel between data centers and participation in on-call rotations.

You’re welcome to work at our data center in Kansas City. 

Your responsibilities will include: 

• Monitor and support the IT infrastructure to ensure optimal performance and uptime.
• Diagnose and resolve issues related to server and network hardware within the data center.
• Perform installation, upgrades, and decommissioning of IT hardware in accordance with operational requirements.
• Manage and maintain fiber optic and patch cable connectivity.
• Handle Return Merchandise Authorizations (RMAs) in compliance with company procedures and documentation.
• Collaborate with internal teams to resolve technical and operational issues.
• Maintain and update documentation, manuals, and procedures related to hardware configuration, troubleshooting, and maintenance.

We expect you to have: 

• Solid understanding of server and networking equipment.
• Practical, hands-on experience with server hardware, network switches, and fiber optic cabling.
• Proven ability to diagnose and resolve hardware-related issues.
• A proactive, responsible, and results-driven work attitude.

It will be an added bonus if you have:  

• Basic knowledge of the Linux operating system and familiarity with command-line tools

Compensation
We offer competitive hourly rates, ranging from $26.00 – $38.00 per hour based on your experience.

The role

We are looking for a Senior Hardware Support Engineer to own production hardware reliability across large-scale, mission-critical data center environments. This role operates at the intersection of hardware engineering, operations, and vendors, ensuring fleet stability, rapid root cause identification, and continuous improvement of server and platform reliability.

You will act as a senior escalation point for complex hardware and firmware issues affecting production systems, driving investigations from symptom to root cause and coordinating resolution across engineering, vendors, and on-site teams. The role requires strong analytical thinking, structured problem-solving methodology, and deep hardware expertise in high-density, performance-critical infrastructure environments.

Your responsibilities will include

• Leading root cause analysis for complex hardware and firmware failures across production fleets

• Aggregating recurring problems and error patterns to identify systemic reliability issues

• Acting as the senior escalation point for hardware-related incidents impacting availability or performance

• Coordinating with vendors to drive timely diagnostics, RMAs, firmware fixes, and corrective actions

• Partnering with internal engineering teams to validate fixes and prevent recurrence

• Performing hardware and firmware validation before fleet-wide rollout

• Driving structured incident investigations using established IT problem management methodologies

• Supporting on-site teams with technical coordination during critical hardware events

• Improving hardware observability, failure tracking, and reporting processes

• Contributing to long-term hardware reliability strategy and fleet-wide stability improvements

What we expect you to have

• Strong hands-on expertise with server hardware in data center or large-scale production environments

• Proven experience performing root cause analysis of hardware and firmware failures

• Deep understanding of server components (CPU, memory, storage, networking, power, BMC) and failure modes

• Experience working directly with hardware vendors and engineering teams to resolve production issues

• Structured problem-solving skills using formal IT or incident management methodologies

• Strong analytical capabilities and ability to interpret logs, telemetry, and error patterns

• Experience coordinating technical activities with on-site operations teams

• Ability to manage multiple concurrent investigations with production impact

• Clear written and verbal communication skills in cross-functional environments

It will be an added bonus if you have

• Experience in GPU-dense, AI, or high-performance computing environments

• Exposure to firmware lifecycle management and large-scale rollout validation

• Familiarity with Linux-based production systems and infrastructure tooling

• Experience improving fleet-wide hardware reliability metrics at scale

Working conditions

• Participation in incident escalations for production-impacting events

Key employee benefits

• Comprehensive medical, dental, and vision coverage

• 401(k) plan with company contribution

• Flexible paid time off

• Paid parental leave

• Professional development support

Compensation

$125,000 – $180,000 per year plus annual performance-based bonus.

Open position in RADaR office locations, including Kansas City, MO, Columbia, MO, and St. Louis, MO; Hybrid work schedule: 3 days in the office, 2 days working from home

Visa sponsorship is not available for this position, now or in the future. Applicants must be legally authorized to work in the United States on a permanent basis without requiring employer sponsorship.

We're seeking a Data Scientist with exceptional statistical expertise to join our team. In this role, you'll work directly with advertising agencies and brands to analyze customer behavior patterns and advertising performance, developing sophisticated machine learning models that inform strategic marketing decisions.

Essential Duties and Responsibilities (Other duties may be assigned)

• Conduct deep statistical analysis of customer behavior data and advertising performance metrics across multiple channels and campaigns
• Design, develop, and deploy machine learning models to predict customer responses, optimize advertising spend, and identify high-value audience segments
• Perform advanced statistical modeling including regression analysis, hypothesis testing, time series analysis, and causal inference
• Build predictive models for customer lifetime value, churn prediction, attribution modeling, and campaign optimization
• Communicate complex analytical findings to both technical and non-technical stakeholders through compelling data visualizations and presentations
• Develop automated reporting solutions and dashboards that enable clients to monitor campaign performance in real-time
• Collaborate with cross-functional teams to ensure data quality and integrity across all analytics initiatives
• Stay current with emerging techniques in data science, machine learning, and marketing analytics

Qualifications - To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• 3+ years of professional experience applying statistical methods and machine learning to business problems
• Strong foundation in statistical theory including probability, inference, experimental design, and multivariate analysis
• Demonstrated expertise in machine learning algorithms (e.g., random forests, gradient boosting, neural networks, clustering methods)
• Proficiency in Python or R for statistical analysis and machine learning, including libraries such as scikit-learn, pandas, NumPy, statsmodels
• Experience with SQL and working with large-scale databases
• Proven ability to design and analyze A/B tests and controlled experiments
• Track record of translating complex analytical insights into clear, actionable business recommendations
• Strong communication skills with the ability to present technical concepts to non-technical audiences

Preferred Qualifications:

• Experience working with advertising agencies, marketing teams, or in the ad tech industry
• Knowledge of digital advertising platforms (Google Ads, Facebook Ads, programmatic platforms)
• Familiarity with marketing attribution models and multi-touch attribution methods
• Experience with cloud computing platforms (AWS, GCP, or Azure)
• Knowledge of causal inference methods and their application to marketing effectiveness
• Experience with customer data platforms (CDPs) and marketing automation tools

Education

• Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Computer Science, Economics, or related quantitative field

Total Perks Package

• The chance to be a part of a growing company and the next success story
• Amazing opportunities for career development
• Recognition programs
• Employee referral bonus
• Hybrid work schedule; 3 days in the office, 2 days working from home
• Fun and collaborative work environment
• Casual dress code
• Insurance Coverage (medical, dental, vision, life, and disability)
• 401(k) retirement plan, with employer 4% match
• Work/life benefits, including mental health and wellbeing support
• Flexible Time Off Policy
• Paid holidays, including agency soft closing Christmas Eve-New Year's Day
• Paid leave options, including sick leave, medical leave for self and family, and parental leave

Open position in RADaR office locations, including Kansas City, MO, Columbia, MO, and St. Louis, MO; Hybrid work schedule: 3 days in the office, 2 days working from home

Visa sponsorship is not available for this position, now or in the future. Applicants must be legally authorized to work in the United States on a permanent basis without requiring employer sponsorship.

We're seeking a Data Scientist with exceptional statistical expertise to join our team. In this role, you'll work directly with advertising agencies and brands to analyze customer behavior patterns and advertising performance, developing sophisticated machine learning models that inform strategic marketing decisions.

Essential Duties and Responsibilities (Other duties may be assigned)

• Conduct deep statistical analysis of customer behavior data and advertising performance metrics across multiple channels and campaigns
• Design, develop, and deploy machine learning models to predict customer responses, optimize advertising spend, and identify high-value audience segments
• Perform advanced statistical modeling including regression analysis, hypothesis testing, time series analysis, and causal inference
• Build predictive models for customer lifetime value, churn prediction, attribution modeling, and campaign optimization
• Communicate complex analytical findings to both technical and non-technical stakeholders through compelling data visualizations and presentations
• Develop automated reporting solutions and dashboards that enable clients to monitor campaign performance in real-time
• Collaborate with cross-functional teams to ensure data quality and integrity across all analytics initiatives
• Stay current with emerging techniques in data science, machine learning, and marketing analytics

Qualifications - To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• 3+ years of professional experience applying statistical methods and machine learning to business problems
• Strong foundation in statistical theory including probability, inference, experimental design, and multivariate analysis
• Demonstrated expertise in machine learning algorithms (e.g., random forests, gradient boosting, neural networks, clustering methods)
• Proficiency in Python or R for statistical analysis and machine learning, including libraries such as scikit-learn, pandas, NumPy, statsmodels
• Experience with SQL and working with large-scale databases
• Proven ability to design and analyze A/B tests and controlled experiments
• Track record of translating complex analytical insights into clear, actionable business recommendations
• Strong communication skills with the ability to present technical concepts to non-technical audiences

Preferred Qualifications:

• Experience working with advertising agencies, marketing teams, or in the ad tech industry
• Knowledge of digital advertising platforms (Google Ads, Facebook Ads, programmatic platforms)
• Familiarity with marketing attribution models and multi-touch attribution methods
• Experience with cloud computing platforms (AWS, GCP, or Azure)
• Knowledge of causal inference methods and their application to marketing effectiveness
• Experience with customer data platforms (CDPs) and marketing automation tools

Education

• Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Computer Science, Economics, or related quantitative field

Total Perks Package

• The chance to be a part of a growing company and the next success story
• Amazing opportunities for career development
• Recognition programs
• Employee referral bonus
• Hybrid work schedule; 3 days in the office, 2 days working from home
• Fun and collaborative work environment
• Casual dress code
• Insurance Coverage (medical, dental, vision, life, and disability)
• 401(k) retirement plan, with employer 4% match
• Work/life benefits, including mental health and wellbeing support
• Flexible Time Off Policy
• Paid holidays, including agency soft closing Christmas Eve-New Year's Day
• Paid leave options, including sick leave, medical leave for self and family, and parental leave

Open position in RADaR office locations, including Kansas City, MO, Columbia, MO, and St. Louis, MO; Hybrid work schedule: 3 days in the office, 2 days working from home

Visa sponsorship is not available for this position, now or in the future. Applicants must be legally authorized to work in the United States on a permanent basis without requiring employer sponsorship.

We're seeking a Data Scientist with exceptional statistical expertise to join our team. In this role, you'll work directly with advertising agencies and brands to analyze customer behavior patterns and advertising performance, developing sophisticated machine learning models that inform strategic marketing decisions.

Essential Duties and Responsibilities (Other duties may be assigned)

• Conduct deep statistical analysis of customer behavior data and advertising performance metrics across multiple channels and campaigns
• Design, develop, and deploy machine learning models to predict customer responses, optimize advertising spend, and identify high-value audience segments
• Perform advanced statistical modeling including regression analysis, hypothesis testing, time series analysis, and causal inference
• Build predictive models for customer lifetime value, churn prediction, attribution modeling, and campaign optimization
• Communicate complex analytical findings to both technical and non-technical stakeholders through compelling data visualizations and presentations
• Develop automated reporting solutions and dashboards that enable clients to monitor campaign performance in real-time
• Collaborate with cross-functional teams to ensure data quality and integrity across all analytics initiatives
• Stay current with emerging techniques in data science, machine learning, and marketing analytics

Qualifications - To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• 3+ years of professional experience applying statistical methods and machine learning to business problems
• Strong foundation in statistical theory including probability, inference, experimental design, and multivariate analysis
• Demonstrated expertise in machine learning algorithms (e.g., random forests, gradient boosting, neural networks, clustering methods)
• Proficiency in Python or R for statistical analysis and machine learning, including libraries such as scikit-learn, pandas, NumPy, statsmodels
• Experience with SQL and working with large-scale databases
• Proven ability to design and analyze A/B tests and controlled experiments
• Track record of translating complex analytical insights into clear, actionable business recommendations
• Strong communication skills with the ability to present technical concepts to non-technical audiences

Preferred Qualifications:

• Experience working with advertising agencies, marketing teams, or in the ad tech industry
• Knowledge of digital advertising platforms (Google Ads, Facebook Ads, programmatic platforms)
• Familiarity with marketing attribution models and multi-touch attribution methods
• Experience with cloud computing platforms (AWS, GCP, or Azure)
• Knowledge of causal inference methods and their application to marketing effectiveness
• Experience with customer data platforms (CDPs) and marketing automation tools

Education

• Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Computer Science, Economics, or related quantitative field

Total Perks Package

• The chance to be a part of a growing company and the next success story
• Amazing opportunities for career development
• Recognition programs
• Employee referral bonus
• Hybrid work schedule; 3 days in the office, 2 days working from home
• Fun and collaborative work environment
• Casual dress code
• Insurance Coverage (medical, dental, vision, life, and disability)
• 401(k) retirement plan, with employer 4% match
• Work/life benefits, including mental health and wellbeing support
• Flexible Time Off Policy
• Paid holidays, including agency soft closing Christmas Eve-New Year's Day
• Paid leave options, including sick leave, medical leave for self and family, and parental leave

Our SLED sales team works with a best-of-breed product that solves real problems for our customers. Sellers follow a well-defined methodology that helps them identify the customer's unique needs and clearly convey the value of the Datadog product. Whether you're looking to learn from the best or be the best, the Datadog sales team is dedicated to furthering personal development and team success.

We are searching for an experienced SLED Sales Executive that has a real passion for technology and can deliver on bold revenue targets. As we continue to enter into bigger markets, and formalize our support for the Public Sector enterprise segment, this division within Datadog will blaze the path for organizational growth. This is a lucrative opportunity to break into new State, Local, and Education accounts within a rich territory, as well work with accounts who are in a hybrid state and transitioning to the cloud. 

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Prospect into large State, Local, and Education organizations while running an efficient sales process
• Maintain, build and own specific relationship maps for your territory including existing relationships and aspirational contacts
• Develop a deep comprehension of customer's business
• Negotiate favorable pricing and business terms with large SLED enterprises by selling value and ROI
• Handle existing customer expectations while expanding reach and depth into assigned territory
• Demonstrate resourcefulness when faced with challenges that defy easy solution
• Have intuitive sense of necessary steps to close business and gain customer validation
• Identify robust set of value drivers behind all opportunities
• Ensure high forecasting accuracy and consistency

Who You Are: 

• Someone with 5+ years closing experience (mix of field selling within assigned SLED region)
• Someone with 2-3+ years of SLED/Gov sales experience
• Driven and have met/exceeded direct sales goals of 1M+ and operated with an average deal size of $100k+
• Able to demonstrate methodology to prospect and build pipeline on your own
• Experienced in working for an innovative tech company (SaaS, IT infrastructure or similar preferred)
• Experienced in selling into large SLED organizations with the ability to win new logos
• Role requires regular travel to client sites, within your area and other regions, using various modes of transportation (car, train, air), depending on business needs

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• High income earning opportunities based on self performance
• New hire stock equity (RSU) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing 
• Sales training in MEDDIC and Command of the Message 
• Intra-departmental mentor and buddy program for in-house networking 
• An inclusive company culture, opportunity to join our Community Guilds
• Generous and competitive medical benefits package
• Retirement savings match
• Pet adoption and insurance program

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Remote

Your Impact

At Axon, we’re transforming public safety with technology that saves lives. As an Account Executive for Fixed License Plate Recognition (LPR) Cameras, you’ll be the subject matter expert partnering with Key Account Leaders (KALs) to deliver cutting-edge, integrated LPR solutions to law enforcement agencies across the country. You’ll play a critical role in expanding our reach, unlocking new revenue, and helping agencies solve real-world problems through advanced vehicle recognition and data-driven policing.

What You’ll Do

• Lead LPR Sales Strategy: Drive sales of Axon’s Fixed LPR cameras by identifying use cases, crafting tailored solutions, and closing deals in collaboration with Key Account Leaders.
• Be the Technical Expert: Act as the go-to resource for LPR product knowledge, implementation logistics, data workflows, and competitive differentiation.
• Support Complex Sales Cycles: Partner with KALs to engage decision-makers, RFPs, and drive long-term strategic opportunities within large public safety agencies.
• Deliver Demos & Field Proofs: Coordinate and deliver compelling product demonstrations, pilots, and customer education sessions to showcase the impact of Axon’s LPR technology.
• Collaborate Cross-Functionally: Work closely with Product, Engineering, Legal, Customer Success, and Field Sales to ensure smooth pre-sales and post-sale transitions.
• Champion the Customer Voice: Bring field insights back to internal teams to improve product-market fit and deliver long-term customer value.

What You Bring

• 5+ years of experience in B2B sales, ideally in public safety, SaaS, or smart infrastructure
• Proven track record of managing long, multi-stakeholder sales cycles and exceeding quota
• Strong technical aptitude — comfortable explaining camera systems, data integrations, and cloud software to both IT and non-technical users
• Experience collaborating with Key Account Executives or sales teams on strategic accounts
• Deep understanding of the public safety/government procurement landscape, including RFPs, budgets, and grants
• Excellent communication and storytelling skills — both written and verbal
• High integrity, mission alignment, and the ability to build trust with law enforcement customers
• Willingness to travel 30–50% to customer sites, events, and demos

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work

Inspire curiosity. Build independence. Shape a lifelong love of learning.

At Guidepost Montessori, our Lead Children’s House Guides empower children ages 3–6 to grow into confident, capable learners through thoughtfully prepared environments and respectful, individualized guidance.

If you’re passionate about early childhood education and excited to lead a classroom where independence and joy take center stage, we’d love to meet you.

Your Role

As a Lead Children’s House Guide, you’ll lead a mixed-age preschool classroom in a Montessori environment designed to nurture concentration, confidence, and deep learning.

Montessori guides carefully prepare their classrooms to spark curiosity and independence. Through close observation, individualized lessons, and intentional language, you’ll support each child’s academic, social, and emotional development meeting them where they are and helping them grow.

Children in Montessori classrooms have the freedom to choose meaningful work, repeat activities until mastery, and take pride in their accomplishments. Your guidance helps every child develop focus, confidence, and a strong belief in their own abilities.

What You’ll Do

• Observe each child closely to understand and support their physical, intellectual, and emotional development
• Prepare and maintain a beautiful, orderly classroom that fosters concentration and independence
• Encourage self-confidence by supporting children as they learn to “do it themselves”
• Provide individualized and small-group lessons in practical life, literacy, math, and beyond
• Build strong, respectful relationships with children and families
• Communicate and collaborate with parents to support each child’s growth
• Lead your classroom with warmth, professionalism, and purpose

The Montessori Prepared Environment

Every Guidepost Children’s House classroom is fully equipped with high-quality Montessori materials and designed around the principles of beauty, order, and accessibility.

A Guidepost Children’s House environment includes:

• Child-sized furniture and ample floor space for independent and small-group work
• Practical life materials for sweeping, food preparation, table setting, and care of the environment
• Curriculum that builds independence in dressing, feeding, and self-care
• Hands-on materials for literacy, math, science, and cultural studies
• Low shelves and child-level artwork for full accessibility
• Cozy reading spaces, real plants, and abundant natural light
• Beautiful, breakable materials made from wood, metal, and glass

What We’re Looking For

• Montessori diploma for ages 3–6, or willingness to obtain certification (fully sponsored)
• Experience working with children ages 3–6 in a group learning environment
• Alignment with child-led philosophies such as Montessori or Reggio Emilia
• Required ECE or Child Development credits
• Bachelor’s degree in (any field)

What We Offer

• Sponsored Montessori diploma training through the Prepared Montessorian Institute
• Ongoing professional development and mentorship
• Competitive salary: $39,000 - $41,000
• Health, dental, and vision insurance
• Paid time off and paid holidays
• 75% tuition discount for up to two children at any Guidepost school
• A supportive network of passionate educators
• Clear opportunities for career growth and leadership advancement

About Guidepost Montessori

Guidepost Montessori is a growing network of over 100 schools across the U.S. and Asia, serving children ages 3 months to 6 years in our Nido, Toddler, and Children’s House programs.

We believe children are capable. Our mission is to transform education by designing learning environments that cultivate independence, joy, and lifelong curiosity for children, families, and educators alike.

ABOUT VEG

In 2014, VEG was born with a mission to help people and their pets when they need it most. This meant challenging the status quo and fixing everything that was wrong with the ER experience. Since then, we’ve expanded rapidly, with hospitals nationwide open 24/7, 365 days a year, and created a better emergency experience—not only for people and their pets, but also for everyone who works here—our VEGgies!

At VEG we find a way to say yes to the career you want in veterinary emergency medicine. This means transforming how ER works, from our open-concept hospitals, where you can handle emergency cases of every kind (even exotics!) to our immersive, customer-focused experience, which helps us give people and their pets the care they deserve.

This also means saying yes to creating the greatest experience possible for our VEGgies. Yes to working in an environment where you can find your place and feel valued for the amazing work you do. Yes to having unparalleled opportunities for learning and mentorship so you can grow where you want to go in your career. And yes to making an impact here in ways you never thought possible.

VEG is a 2025 and 2026 certified Great Place to Work®.

THE PROGRAM

The VEG New ER Doctor (NERD) program is designed to transform practicing non-emergency veterinarians into exceptional, confident VEG ER doctors. This six-month deep dive into the action of emergency is a structured, immersive program like no other that allows participants to transition into full-time ER doctors at VEG after successful completion. Integrating academic and clinical teachings with individualized mentorship, this program fuels a passion for ER and creates a deeper meaning around life-saving veterinary heroics. If you’re hungry to learn how to do ER, perform surgeries, advance your endoscopy skills, learn about exotics, and discover the unique rewards of customer-focused care in an open concept hospital, we find a way to say yes to training you in our NERD program.

WHAT YOU’LL DO

• Work side-by-side with experienced VEG doctors who will mentor you through real ER cases, offering guidance and feedback every step of the way. This isn’t just shadowing—it’s hands-on learning with built-in mentorship.
• New ER Doctors (a.k.a. NERDS!) get up-close, firsthand ER experience, working 3-4 hospital shifts per week (days, swings, and nights), as well as through weekly case discussions, literature reviews, and hands-on training at state-of-the-art facilities. 
• Learn best practices for client-centered communication and care, the VEG Way.

What CE experiences can you expect to attend during the program?

From hands-on training to weekly didactic learning, NERD program participants earn over 160 RACE-approved CE hours in just six months—which takes most doctors 10 years to complete! Some CE highlights include: 

• Abdominal, thoracic and cardiac point-of care ultrasound
• Exotic companion animals in the ER
• Flexible GI endoscopy
• Small animal emergency surgery
• Small animal critical care lab
• RECOVER ALS and BLS Rescuer CPR certification

All paid for by VEG!

WHAT YOU NEED

• A passion for helping people and their pets
• A valid DVM, VMD, or equivalent degree 
• Be a practicing veterinarian for 1+ years
• A desire to live and breathe emergency medicine
• A valid license to practice veterinary medicine, as well as a valid DEA registration in the state you will be completing your program by your start date
• Ability to stand for prolonged hours, kneel, and work on the floor, as well as ability to lift up to 25 kg on own and able to support up to 40 kg with assistance
• Must be willing to work in a noisy environment with strong or unpleasant odors
• Availability to work nights, weekends, and holidays on a rotating or as needed basis based on hospital needs
• Work well in a fast-paced environment with people from all backgrounds and different personality types
• Can commit to a predetermined schedule for a consecutive six-month period

WHO YOU ARE

• Empathetic, instinctively taking a people-centric approach, whether supporting your colleagues or making an effort to understand different perspectives
• Have a sense of humility; acknowledging mistakes, sharing credit with others, and lifting up your team’s’ accomplishments
• Feel a strong sense of ownership over your work, taking responsibility for outcomes and staying committed to achieving long-term, impactful results 
• Curious by nature; you ask insightful questions and continuously seek out opportunities to learn and grow your skills and knowledge

*Please note: Once you apply, you will be asked to provide the names and email addresses of one to two references. Please make them aware that we’ll be sending them a letter of recommendation questionnaire through a platform called RefApp. 

*Please also note: Relocation for the NERD program may be required. All New ER Doctor graduates are guaranteed a spot at VEG as an emergency doctor at a hospital location of our choosing upon successful completion of the program in the required time frame and passing all required program competencies and benchmarks. Training and post-placement will be discussed with your talent manager.

HOW WE INVEST IN YOU

As a NERD, you’ll spend six months learning from specialists and experts in emergency medicine, all while receiving competitive compensation and benefits. Between base salary and all the components of the training program, VEG invests $100,000 in each NERD! We do this because we believe you want you to be an experienced ER doctor who will save pet’s lives the VEG Way.

• Competitive compensation + benefits that start on day one
• 160+ hours of RACE-approved CE during your six-month program and a BIG focus on learning and growth, from VEG-created clinical and leadership programs to unlimited ER CE + travel stipend (No really!)
• Equity after one year of full time, active employment with VEG, so you can share in our growth and success
• Student loan repayment (after your 1st year with VEG)
• Free exams and 50% off VEG treatments 
• Pet bereavement leave
• Clinical student loan repayment so you don’t need to worry about your student debt 
• Paid parental leave, up to 10 weeks at 100% of regular salary and inclusive fertility and family-building care for all types of families
• Flexible work schedules to support your life outside of work
• Generous employee referral program, so our awesome people can bring in more awesome people
• And the little (big) things, like comfy scrubs, cool VEG swag, and food in the fridge for when you’re hungry

DEI

At VEG, diversity is not just a word—it's a strength that fuels innovation and kindness. Our mission is “Helping people and their pets when they need it most.” And we do that better when our VEGgies (employees) feel valued, respected, and empowered to bring their authentic selves to work. That's why we're devoted to creating an environment that reflects the diverse communities we serve—where different perspectives are not only welcomed but celebrated.

We are focused on providing equitable opportunities for growth, promoting inclusive decision-making, and ensuring that everyone's perspective is considered. Saying yes to VEG means helping us build a culture where your unique experiences and background contribute to a shared vision: being the world’s veterinary emergency company.

ABOUT VEG

In 2014, VEG was born with a mission to help people and their pets when they need it most. This meant challenging the status quo and fixing everything that was wrong with the ER experience. Since then, we’ve expanded rapidly, with hospitals nationwide open 24/7, 365 days a year, and created a better emergency experience—not only for people and their pets, but also for everyone who works here—our VEGgies!

At VEG we find a way to say yes to the career you want in veterinary emergency medicine. This means transforming how ER works, from our open-concept hospitals, where you can handle emergency cases of every kind (even exotics!) to our immersive, customer-focused experience, which helps us give people and their pets the care they deserve.

This also means saying yes to creating the greatest experience possible for our VEGgies. Yes to working in an environment where you can find your place and feel valued for the amazing work you do. Yes to having unparalleled opportunities for learning and mentorship so you can grow where you want to go in your career. And yes to making an impact here in ways you never thought possible.

VEG is a 2025 and 2026 certified Great Place to Work®.

THE PROGRAM

The VEG New ER Doctor (NERD) program is designed to transform practicing non-emergency veterinarians into exceptional, confident VEG ER doctors. This six-month deep dive into the action of emergency is a structured, immersive program like no other that allows participants to transition into full-time ER doctors at VEG after successful completion. Integrating academic and clinical teachings with individualized mentorship, this program fuels a passion for ER and creates a deeper meaning around life-saving veterinary heroics. If you’re hungry to learn how to do ER, perform surgeries, advance your endoscopy skills, learn about exotics, and discover the unique rewards of customer-focused care in an open concept hospital, we find a way to say yes to training you in our NERD program.

WHAT YOU’LL DO

• Work side-by-side with experienced VEG doctors who will mentor you through real ER cases, offering guidance and feedback every step of the way. This isn’t just shadowing—it’s hands-on learning with built-in mentorship.
• New ER Doctors (a.k.a. NERDS!) get up-close, firsthand ER experience, working 3-4 hospital shifts per week (days, swings, and nights), as well as through weekly case discussions, literature reviews, and hands-on training at state-of-the-art facilities. 
• Learn best practices for client-centered communication and care, the VEG Way.

What CE experiences can you expect to attend during the program?

From hands-on training to weekly didactic learning, NERD program participants earn over 160 RACE-approved CE hours in just six months—which takes most doctors 10 years to complete! Some CE highlights include: 

• Abdominal, thoracic and cardiac point-of care ultrasound
• Exotic companion animals in the ER
• Flexible GI endoscopy
• Small animal emergency surgery
• Small animal critical care lab
• RECOVER ALS and BLS Rescuer CPR certification

All paid for by VEG!

WHAT YOU NEED

• A passion for helping people and their pets
• A valid DVM, VMD, or equivalent degree 
• Be a practicing veterinarian for 1+ years
• A desire to live and breathe emergency medicine
• A valid license to practice veterinary medicine, as well as a valid DEA registration in the state you will be completing your program by your start date
• Ability to stand for prolonged hours, kneel, and work on the floor, as well as ability to lift up to 25 kg on own and able to support up to 40 kg with assistance
• Must be willing to work in a noisy environment with strong or unpleasant odors
• Availability to work nights, weekends, and holidays on a rotating or as needed basis based on hospital needs
• Work well in a fast-paced environment with people from all backgrounds and different personality types
• Can commit to a predetermined schedule for a consecutive six-month period

WHO YOU ARE

• Empathetic, instinctively taking a people-centric approach, whether supporting your colleagues or making an effort to understand different perspectives
• Have a sense of humility; acknowledging mistakes, sharing credit with others, and lifting up your team’s’ accomplishments
• Feel a strong sense of ownership over your work, taking responsibility for outcomes and staying committed to achieving long-term, impactful results 
• Curious by nature; you ask insightful questions and continuously seek out opportunities to learn and grow your skills and knowledge

*Please note: Once you apply, you will be asked to provide the names and email addresses of one to two references. Please make them aware that we’ll be sending them a letter of recommendation questionnaire through a platform called RefApp. 

*Please also note: Relocation for the NERD program may be required. All New ER Doctor graduates are guaranteed a spot at VEG as an emergency doctor at a hospital location of our choosing upon successful completion of the program in the required time frame and passing all required program competencies and benchmarks. Training and post-placement will be discussed with your talent manager.

HOW WE INVEST IN YOU

As a NERD, you’ll spend six months learning from specialists and experts in emergency medicine, all while receiving competitive compensation and benefits. Between base salary and all the components of the training program, VEG invests $100,000 in each NERD! We do this because we believe you want you to be an experienced ER doctor who will save pet’s lives the VEG Way.

• Competitive compensation + benefits that start on day one
• 160+ hours of RACE-approved CE during your six-month program and a BIG focus on learning and growth, from VEG-created clinical and leadership programs to unlimited ER CE + travel stipend (No really!)
• Equity after one year of full time, active employment with VEG, so you can share in our growth and success
• Student loan repayment (after your 1st year with VEG)
• Free exams and 50% off VEG treatments 
• Pet bereavement leave
• Clinical student loan repayment so you don’t need to worry about your student debt 
• Paid parental leave, up to 12 weeks at 100% of regular salary and inclusive fertility and family-building care for all types of families
• Flexible work schedules to support your life outside of work
• Generous employee referral program, so our awesome people can bring in more awesome people
• And the little (big) things, like comfy scrubs, cool VEG swag, and food in the fridge for when you’re hungry

DEI

At VEG, diversity is not just a word—it's a strength that fuels innovation and kindness. Our mission is “Helping people and their pets when they need it most.” And we do that better when our VEGgies (employees) feel valued, respected, and empowered to bring their authentic selves to work. That's why we're devoted to creating an environment that reflects the diverse communities we serve—where different perspectives are not only welcomed but celebrated.

We are focused on providing equitable opportunities for growth, promoting inclusive decision-making, and ensuring that everyone's perspective is considered. Saying yes to VEG means helping us build a culture where your unique experiences and background contribute to a shared vision: being the world’s veterinary emergency company.

Position Summary

The Director of Data Analytics will help lead the FP&A and data analytics strategy for the wealth management business, transforming client, advisor, operational, and financial data into actionable insights that improve growth, advisor productivity, and business performance. This role will partner closely with advisory, investment, operations, technology, compliance, and finance team members to build scalable reporting, strengthen data governance, and advance a more data-driven organization. The Director will help build scalable reporting frameworks for billable client assets and firm-level performance benchmarking.

This position will be an integral contributor to the company’s FP&A and data analytics.

This reports to the VP of FP&A and Data Analytics.  

This role can be located in New York, NY; New Hyde Park, NY; St. Louis, MO

Primary Responsibilities

• Help build and develop a high-performing finance data analytics team responsible for dashboards, KPI reporting, ad hoc analysis, business intelligence, and advanced analytics.
• Partner across all business disciplines to improve data quality, establish common definitions, and enable trusted analytics across CRM, portfolio reporting systems and billing systems.
• Deliver meaningful reporting across client trends, segmentation, productivity, profitability, and retention metrics.
• Navigate the firm's data warehouse capabilities, ensuring clean integration of data to our Enterprise Resource Planning (ERP) system and other reporting platforms.
• Identify and implement opportunities to use predictive analytics and AI to improve process automation.
• Drive adoption of self-service analytics tools, data literacy, and a culture of evidence-based decision-making across the finance organization.
• Establish strong standards for governance, date quality, and privacy to support regulatory, risk, and audit requirements.
  
  

Qualifications         

• Bachelor’s degree in data science, statistics, finance, computer science, or a related quantitative field
• 7 to 10 years of progressive experience in data analytics in a large and complex environment
• Proficiency in SQL, Python/R, and BI tools (Tableau, Power BI, or similar)
• Excellent communication, collaboration, and leadership skills, with the ability to explain complex analyses to non-technical audiences.
• Demonstrated understanding and experience in financial services.
• Familiarity with cloud data platforms (Snowflake, Databricks, Azure Synapse).
• Familiarity with Workday ERP and Adaptive Planning.
• Experience implementing predictive analytics, machine learning, or self-service analytics programs in a regulated environment.

#LI-KJ2

This position is an exempt position. The annualized base pay range for this role is expected to be between $160,000-$200,000 base salary compensation range. Actual base pay may vary based on factors including, but not limited to, experience, subject matter expertise, geographic location where work will be performed, and the applicant’s skill set. The base pay is just one component of the total compensation package. Other rewards may include an annual cash bonus and a comprehensive benefits package, including but not limited to medical, dental, vision, life insurance, and 401(k). Please note that the job title is subject to change based on the selected candidate’s experience and education.