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 

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.

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