NLP Jobs in St. Louis.
All active NLP roles based in St. Louis.
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Media Insights Analyst
Open position in all True Media office locations, including Kansas City, MO, Columbia, MO, St. Louis, MO, Portsmouth, NH and Minneapolis, MN; 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.
About You
You are a curious investigator who views media data as a story waiting to be told. You aren’t satisfied with "what" because your primary interest is finding "why." As a creative and critical thinker, you thrive on "Aha!" moments and possess a natural ability to connect dots that others might miss.
You view technical tools (Tableau, DOMO, Power BI, Looker, etc.) as a vehicle for discovery. While technical proficiency is the baseline, your true impact comes from using that expertise to drive meaningful value for clients. You are familiar with methods like incrementality testing or difference-in-differences and view them as lenses used to uncover truth.
The Objective
This role is centered on delivering high-impact clarity through media data. You will design and deliver monthly reports, quarterly business reviews (QBRs), and ad-hoc deep dives that contextualize media KPIs and connect execution to results. Your consistent, context-rich analysis and recommendations ensure our clients and internal teams are always one step ahead of the curve by moving past simple metrics to focus on true business outcomes.
Essential Duties and Responsibilities (Other duties may be assigned)
- Narrative Orchestration: Lead the creation of monthly reports and QBRs, transforming validated datasets into cohesive business stories that connect media execution to client-side outcomes.
- Investigative Consultant: Actively monitor performance to identify anomalies or trends; use media KPIs as triggers to proactively investigate the "why" and present critical explanations to both internal stakeholders and external clients.
- Strategic Foresight: Convert 'the why' into actionable media optimizations, providing Integrated Planning teams with clear directives on how to pivot strategy based on performance signals.
- Proactive Hypothesis Testing: Beyond standard monitoring, develop hypotheses for performance shifts and partner with the Governance team to surface the specific data cuts required to prove or disprove them.
- Integrated Collaboration: Serve as a core analytical partner for the Integrated Strategy & Planning and Campaign Operations teams, ensuring data insights are fueled by a deep understanding of the media context.
- Operational Feedback Loop: Act as a "User Experience" lead for agency dashboards, providing the Data Governance team with feedback on visualization clarity and data accessibility to ensure tools remain optimized for insight discovery.
- BI Platform Stewardship: Utilize BI software (e.g., Tableau, PowerBI, Looker Studio, DOMO) to design and maintain strategic visualizations that prioritize "insight-first" delivery over simple data display. Leverage the agency’s standardized data frameworks and RADaR-powered environments to ensure all strategic storytelling is built upon a foundation of absolute data integrity.
- Campaign Ecosystem Alignment: Advise on dataflow design to ensure backend data collection is optimized for high-level reporting and strategic visualization.
- Agency-Wide Elevation: Identify opportunities to improve internal measurement rigor, advocating for frameworks that move beyond standard reporting to track true business impact.
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.
- Experience: 1–3 years of experience in data analytics, digital media, or marketing science, preferably within an agency environment.
- Media Context: A foundational understanding of the advertising ecosystem, including how various digital channels (Search, Social, Programmatic) interact to drive results.
- Technical Literacy: Experience using at least one major BI software (Tableau, PowerBI, Looker Studio, DOMO, etc.) and comfort with data manipulation in Excel or Google Sheets.
- The "Curiosity" Factor: A self-starter attitude with a proven ability to look at a media data trend and proactively investigate the "why" behind the numbers. Ability to partner with technical leads to articulate data-layer requirements needed to support advanced analytical storytelling.
- Strategic Communication: Proven ability to translate complex technical concepts into "human" language for non-technical audiences and executive leadership.
Education
- Bachelor’s degree in a quantitative or strategic field (Marketing Analytics, Statistics, Economics) or equivalent practical experience.
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
California Residents - Please review our Privacy Notice here.
Ready to apply?
Apply to True Media
Media Insights Analyst
Open position in all True Media office locations, including Kansas City, MO, Columbia, MO, St. Louis, MO, Portsmouth, NH and Minneapolis, MN; 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.
About You
You are a curious investigator who views media data as a story waiting to be told. You aren’t satisfied with "what" because your primary interest is finding "why." As a creative and critical thinker, you thrive on "Aha!" moments and possess a natural ability to connect dots that others might miss.
You view technical tools (Tableau, DOMO, Power BI, Looker, etc.) as a vehicle for discovery. While technical proficiency is the baseline, your true impact comes from using that expertise to drive meaningful value for clients. You are familiar with methods like incrementality testing or difference-in-differences and view them as lenses used to uncover truth.
The Objective
This role is centered on delivering high-impact clarity through media data. You will design and deliver monthly reports, quarterly business reviews (QBRs), and ad-hoc deep dives that contextualize media KPIs and connect execution to results. Your consistent, context-rich analysis and recommendations ensure our clients and internal teams are always one step ahead of the curve by moving past simple metrics to focus on true business outcomes.
Essential Duties and Responsibilities (Other duties may be assigned)
- Narrative Orchestration: Lead the creation of monthly reports and QBRs, transforming validated datasets into cohesive business stories that connect media execution to client-side outcomes.
- Investigative Consultant: Actively monitor performance to identify anomalies or trends; use media KPIs as triggers to proactively investigate the "why" and present critical explanations to both internal stakeholders and external clients.
- Strategic Foresight: Convert 'the why' into actionable media optimizations, providing Integrated Planning teams with clear directives on how to pivot strategy based on performance signals.
- Proactive Hypothesis Testing: Beyond standard monitoring, develop hypotheses for performance shifts and partner with the Governance team to surface the specific data cuts required to prove or disprove them.
- Integrated Collaboration: Serve as a core analytical partner for the Integrated Strategy & Planning and Campaign Operations teams, ensuring data insights are fueled by a deep understanding of the media context.
- Operational Feedback Loop: Act as a "User Experience" lead for agency dashboards, providing the Data Governance team with feedback on visualization clarity and data accessibility to ensure tools remain optimized for insight discovery.
- BI Platform Stewardship: Utilize BI software (e.g., Tableau, PowerBI, Looker Studio, DOMO) to design and maintain strategic visualizations that prioritize "insight-first" delivery over simple data display. Leverage the agency’s standardized data frameworks and RADaR-powered environments to ensure all strategic storytelling is built upon a foundation of absolute data integrity.
- Campaign Ecosystem Alignment: Advise on dataflow design to ensure backend data collection is optimized for high-level reporting and strategic visualization.
- Agency-Wide Elevation: Identify opportunities to improve internal measurement rigor, advocating for frameworks that move beyond standard reporting to track true business impact.
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.
- Experience: 1–3 years of experience in data analytics, digital media, or marketing science, preferably within an agency environment.
- Media Context: A foundational understanding of the advertising ecosystem, including how various digital channels (Search, Social, Programmatic) interact to drive results.
- Technical Literacy: Experience using at least one major BI software (Tableau, PowerBI, Looker Studio, DOMO, etc.) and comfort with data manipulation in Excel or Google Sheets.
- The "Curiosity" Factor: A self-starter attitude with a proven ability to look at a media data trend and proactively investigate the "why" behind the numbers. Ability to partner with technical leads to articulate data-layer requirements needed to support advanced analytical storytelling.
- Strategic Communication: Proven ability to translate complex technical concepts into "human" language for non-technical audiences and executive leadership.
Education
- Bachelor’s degree in a quantitative or strategic field (Marketing Analytics, Statistics, Economics) or equivalent practical experience.
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
California Residents - Please review our Privacy Notice here.
Ready to apply?
Apply to True Media
Media Insights Analyst
Open position in all True Media office locations, including Kansas City, MO, Columbia, MO, St. Louis, MO, Portsmouth, NH and Minneapolis, MN; 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.
About You
You are a curious investigator who views media data as a story waiting to be told. You aren’t satisfied with "what" because your primary interest is finding "why." As a creative and critical thinker, you thrive on "Aha!" moments and possess a natural ability to connect dots that others might miss.
You view technical tools (Tableau, DOMO, Power BI, Looker, etc.) as a vehicle for discovery. While technical proficiency is the baseline, your true impact comes from using that expertise to drive meaningful value for clients. You are familiar with methods like incrementality testing or difference-in-differences and view them as lenses used to uncover truth.
The Objective
This role is centered on delivering high-impact clarity through media data. You will design and deliver monthly reports, quarterly business reviews (QBRs), and ad-hoc deep dives that contextualize media KPIs and connect execution to results. Your consistent, context-rich analysis and recommendations ensure our clients and internal teams are always one step ahead of the curve by moving past simple metrics to focus on true business outcomes.
Essential Duties and Responsibilities (Other duties may be assigned)
- Narrative Orchestration: Lead the creation of monthly reports and QBRs, transforming validated datasets into cohesive business stories that connect media execution to client-side outcomes.
- Investigative Consultant: Actively monitor performance to identify anomalies or trends; use media KPIs as triggers to proactively investigate the "why" and present critical explanations to both internal stakeholders and external clients.
- Strategic Foresight: Convert 'the why' into actionable media optimizations, providing Integrated Planning teams with clear directives on how to pivot strategy based on performance signals.
- Proactive Hypothesis Testing: Beyond standard monitoring, develop hypotheses for performance shifts and partner with the Governance team to surface the specific data cuts required to prove or disprove them.
- Integrated Collaboration: Serve as a core analytical partner for the Integrated Strategy & Planning and Campaign Operations teams, ensuring data insights are fueled by a deep understanding of the media context.
- Operational Feedback Loop: Act as a "User Experience" lead for agency dashboards, providing the Data Governance team with feedback on visualization clarity and data accessibility to ensure tools remain optimized for insight discovery.
- BI Platform Stewardship: Utilize BI software (e.g., Tableau, PowerBI, Looker Studio, DOMO) to design and maintain strategic visualizations that prioritize "insight-first" delivery over simple data display. Leverage the agency’s standardized data frameworks and RADaR-powered environments to ensure all strategic storytelling is built upon a foundation of absolute data integrity.
- Campaign Ecosystem Alignment: Advise on dataflow design to ensure backend data collection is optimized for high-level reporting and strategic visualization.
- Agency-Wide Elevation: Identify opportunities to improve internal measurement rigor, advocating for frameworks that move beyond standard reporting to track true business impact.
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.
- Experience: 1–3 years of experience in data analytics, digital media, or marketing science, preferably within an agency environment.
- Media Context: A foundational understanding of the advertising ecosystem, including how various digital channels (Search, Social, Programmatic) interact to drive results.
- Technical Literacy: Experience using at least one major BI software (Tableau, PowerBI, Looker Studio, DOMO, etc.) and comfort with data manipulation in Excel or Google Sheets.
- The "Curiosity" Factor: A self-starter attitude with a proven ability to look at a media data trend and proactively investigate the "why" behind the numbers. Ability to partner with technical leads to articulate data-layer requirements needed to support advanced analytical storytelling.
- Strategic Communication: Proven ability to translate complex technical concepts into "human" language for non-technical audiences and executive leadership.
Education
- Bachelor’s degree in a quantitative or strategic field (Marketing Analytics, Statistics, Economics) or equivalent practical experience.
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
California Residents - Please review our Privacy Notice here.
Ready to apply?
Apply to True Media
Media Insights Analyst
Open position in all True Media office locations, including Kansas City, MO, Columbia, MO, St. Louis, MO, Portsmouth, NH and Minneapolis, MN; 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.
About You
You are a curious investigator who views media data as a story waiting to be told. You aren’t satisfied with "what" because your primary interest is finding "why." As a creative and critical thinker, you thrive on "Aha!" moments and possess a natural ability to connect dots that others might miss.
You view technical tools (Tableau, DOMO, Power BI, Looker, etc.) as a vehicle for discovery. While technical proficiency is the baseline, your true impact comes from using that expertise to drive meaningful value for clients. You are familiar with methods like incrementality testing or difference-in-differences and view them as lenses used to uncover truth.
The Objective
This role is centered on delivering high-impact clarity through media data. You will design and deliver monthly reports, quarterly business reviews (QBRs), and ad-hoc deep dives that contextualize media KPIs and connect execution to results. Your consistent, context-rich analysis and recommendations ensure our clients and internal teams are always one step ahead of the curve by moving past simple metrics to focus on true business outcomes.
Essential Duties and Responsibilities (Other duties may be assigned)
- Narrative Orchestration: Lead the creation of monthly reports and QBRs, transforming validated datasets into cohesive business stories that connect media execution to client-side outcomes.
- Investigative Consultant: Actively monitor performance to identify anomalies or trends; use media KPIs as triggers to proactively investigate the "why" and present critical explanations to both internal stakeholders and external clients.
- Strategic Foresight: Convert 'the why' into actionable media optimizations, providing Integrated Planning teams with clear directives on how to pivot strategy based on performance signals.
- Proactive Hypothesis Testing: Beyond standard monitoring, develop hypotheses for performance shifts and partner with the Governance team to surface the specific data cuts required to prove or disprove them.
- Integrated Collaboration: Serve as a core analytical partner for the Integrated Strategy & Planning and Campaign Operations teams, ensuring data insights are fueled by a deep understanding of the media context.
- Operational Feedback Loop: Act as a "User Experience" lead for agency dashboards, providing the Data Governance team with feedback on visualization clarity and data accessibility to ensure tools remain optimized for insight discovery.
- BI Platform Stewardship: Utilize BI software (e.g., Tableau, PowerBI, Looker Studio, DOMO) to design and maintain strategic visualizations that prioritize "insight-first" delivery over simple data display. Leverage the agency’s standardized data frameworks and RADaR-powered environments to ensure all strategic storytelling is built upon a foundation of absolute data integrity.
- Campaign Ecosystem Alignment: Advise on dataflow design to ensure backend data collection is optimized for high-level reporting and strategic visualization.
- Agency-Wide Elevation: Identify opportunities to improve internal measurement rigor, advocating for frameworks that move beyond standard reporting to track true business impact.
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.
- Experience: 1–3 years of experience in data analytics, digital media, or marketing science, preferably within an agency environment.
- Media Context: A foundational understanding of the advertising ecosystem, including how various digital channels (Search, Social, Programmatic) interact to drive results.
- Technical Literacy: Experience using at least one major BI software (Tableau, PowerBI, Looker Studio, DOMO, etc.) and comfort with data manipulation in Excel or Google Sheets.
- The "Curiosity" Factor: A self-starter attitude with a proven ability to look at a media data trend and proactively investigate the "why" behind the numbers. Ability to partner with technical leads to articulate data-layer requirements needed to support advanced analytical storytelling.
- Strategic Communication: Proven ability to translate complex technical concepts into "human" language for non-technical audiences and executive leadership.
Education
- Bachelor’s degree in a quantitative or strategic field (Marketing Analytics, Statistics, Economics) or equivalent practical experience.
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
California Residents - Please review our Privacy Notice here.
Ready to apply?
Apply to True Media
Media Insights Analyst
Open position in all True Media office locations, including Kansas City, MO, Columbia, MO, St. Louis, MO, Portsmouth, NH and Minneapolis, MN; 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.
About You
You are a curious investigator who views media data as a story waiting to be told. You aren’t satisfied with "what" because your primary interest is finding "why." As a creative and critical thinker, you thrive on "Aha!" moments and possess a natural ability to connect dots that others might miss.
You view technical tools (Tableau, DOMO, Power BI, Looker, etc.) as a vehicle for discovery. While technical proficiency is the baseline, your true impact comes from using that expertise to drive meaningful value for clients. You are familiar with methods like incrementality testing or difference-in-differences and view them as lenses used to uncover truth.
The Objective
This role is centered on delivering high-impact clarity through media data. You will design and deliver monthly reports, quarterly business reviews (QBRs), and ad-hoc deep dives that contextualize media KPIs and connect execution to results. Your consistent, context-rich analysis and recommendations ensure our clients and internal teams are always one step ahead of the curve by moving past simple metrics to focus on true business outcomes.
Essential Duties and Responsibilities (Other duties may be assigned)
- Narrative Orchestration: Lead the creation of monthly reports and QBRs, transforming validated datasets into cohesive business stories that connect media execution to client-side outcomes.
- Investigative Consultant: Actively monitor performance to identify anomalies or trends; use media KPIs as triggers to proactively investigate the "why" and present critical explanations to both internal stakeholders and external clients.
- Strategic Foresight: Convert 'the why' into actionable media optimizations, providing Integrated Planning teams with clear directives on how to pivot strategy based on performance signals.
- Proactive Hypothesis Testing: Beyond standard monitoring, develop hypotheses for performance shifts and partner with the Governance team to surface the specific data cuts required to prove or disprove them.
- Integrated Collaboration: Serve as a core analytical partner for the Integrated Strategy & Planning and Campaign Operations teams, ensuring data insights are fueled by a deep understanding of the media context.
- Operational Feedback Loop: Act as a "User Experience" lead for agency dashboards, providing the Data Governance team with feedback on visualization clarity and data accessibility to ensure tools remain optimized for insight discovery.
- BI Platform Stewardship: Utilize BI software (e.g., Tableau, PowerBI, Looker Studio, DOMO) to design and maintain strategic visualizations that prioritize "insight-first" delivery over simple data display. Leverage the agency’s standardized data frameworks and RADaR-powered environments to ensure all strategic storytelling is built upon a foundation of absolute data integrity.
- Campaign Ecosystem Alignment: Advise on dataflow design to ensure backend data collection is optimized for high-level reporting and strategic visualization.
- Agency-Wide Elevation: Identify opportunities to improve internal measurement rigor, advocating for frameworks that move beyond standard reporting to track true business impact.
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.
- Experience: 1–3 years of experience in data analytics, digital media, or marketing science, preferably within an agency environment.
- Media Context: A foundational understanding of the advertising ecosystem, including how various digital channels (Search, Social, Programmatic) interact to drive results.
- Technical Literacy: Experience using at least one major BI software (Tableau, PowerBI, Looker Studio, DOMO, etc.) and comfort with data manipulation in Excel or Google Sheets.
- The "Curiosity" Factor: A self-starter attitude with a proven ability to look at a media data trend and proactively investigate the "why" behind the numbers. Ability to partner with technical leads to articulate data-layer requirements needed to support advanced analytical storytelling.
- Strategic Communication: Proven ability to translate complex technical concepts into "human" language for non-technical audiences and executive leadership.
Education
- Bachelor’s degree in a quantitative or strategic field (Marketing Analytics, Statistics, Economics) or equivalent practical experience.
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
California Residents - Please review our Privacy Notice here.
Ready to apply?
Apply to True Media
Senior Machine Learning Engineer - Model Evaluations, Public Sector
Senior Machine Learning Engineer - Model Evaluations, Public Sector
The Public Sector ML team at Scale deploys advanced AI systems—including LLMs, agentic models, and multimodal pipelines—into mission-critical government environments. We build evaluation frameworks that ensure these models operate reliably, safely, and effectively under real-world constraints. As an ML Engineer, you will design, implement, and scale automated evaluation pipelines that help customers trust and operationalize advanced AI systems across defense, intelligence, and federal missions.
You will:
- Develop and maintain automated evaluation pipelines for ML models across functional, performance, robustness, and safety metrics, including LLM-judge–based evaluations.
- Design test datasets and benchmarks to measure generalization, bias, explainability, and failure modes.
- Build evaluation frameworks for LLM agents, including infrastructure for scenario-based and environment-based testing.
- Conduct comparative analyses of model architectures, training procedures, and evaluation outcomes.
- Implement tools for continuous monitoring, regression testing, and quality assurance for ML systems.
- Design and execute stress tests and red-teaming workflows to uncover vulnerabilities and edge cases.
- Collaborate with operations teams and subject matter experts to produce high-quality evaluation datasets.
- Comfortable with light travel (approximately 10%) for customer interaction and team needs.
This role will require an active security clearance or the ability to obtain a security clearance.
Ideally you’d have:
- Experience in computer vision, deep learning, reinforcement learning, or NLP in production settings.
- Strong programming skills in Python; experience with TensorFlow or PyTorch.
- Background in algorithms, data structures, and object-oriented programming.
- Experience with LLM pipelines, simulation environments, or automated evaluation systems.
- Ability to convert research insights into measurable evaluation criteria.
Nice to haves:
- Graduate degree in CS, ML, or AI.
- Cloud experience (AWS, GCP) and model deployment experience.
- Experience with LLM evaluation, CV robustness, or RL validation.
- Knowledge of interpretability, adversarial robustness, or AI safety frameworks.
- Familiarity with ML evaluation frameworks and agentic model design.
- Experience in regulated, classified, or mission-critical ML domains.
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Ready to apply?
Apply to Scale AIOverview
Are you passionate about changing the world through machine learning and location intelligence? Join Esri as we leverage the IoT revolution and explosive growth of location data to help organizations extract advanced intelligence, predict significant events, and automate work processes using AI and machine learning.
We're seeking a Data Scientist who combines technical expertise with strong interpersonal skills to collaborate directly with customers, understand their unique challenges, and develop data-driven solutions that integrate seamlessly with GIS workflows. While prior GIS experience is not required, you'll work closely with GIS experts and gain valuable knowledge in spatial data analytics.
We serve customers across diverse domains including natural resources, defense, commercial industries, public transportation, utilities, and governmental entities in over 160+ countries.
Esri has a Relocation Assistance Program and can provide support with relocating to the St. Louis, MO area for this position.
Responsibilities
- Consult closely with customers to understand their needs
- Develop and pitch data science solutions by mapping business problems to machine learning or other advanced analytics approaches
- Build high-quality analytics systems that solve our customers' business problems using techniques from data mining, statistics, and machine learning
- Write clean, collaborative, and version-controlled code to process big data and streaming data from a variety of sources and types
- Perform feature engineering, model selection, and hyperparameter optimization to yield high predictive accuracy and deploy the model to production in a cloud, on-premises, or hybrid environment
- Implement best practices and patterns for geospatial machine learning and develop reusable technical components for demonstrations and rapid prototyping
- Keep up to date with the latest technology trends in machine and deep learning and incorporate them in project delivery
Requirements
- 1+ years of professional experience in a similar position, supporting similar responsibilities
- Professional experience with practical machine learning experience or relevant academic/lab work
- Hands-on relevant experience in generative AI, large language models, and/or agentic systems
- Fundamental understanding of mathematical and machine learning concepts
- Applied statistics experience
- Experience developing machine learning solutions, preferably in Python
- Ability to produce compelling data visualizations to convey results
- Strong communication skills, including the ability to explain technical concepts to non-technical audiences
- US citizenship and willingness and ability to maintain a US Security Clearance
- Bachelor's degree in mathematics, statistics, computer science, physics, or a STEM related field
Recommended Qualifications
- Experience with spatial and GIS concepts, preferably using Esri software
- Master's degree in mathematics, statistics, computer science, physics, or a STEM related field
#LI-AN1
#LI-Onsite
Total Rewards
Esri’s competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
The Company
At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri’s Racial Equity and Social Justice initiatives, please visit our website here.
If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply!
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Data Scientist - MID Job#480
Data Scientist - MID
Location: Springfield, VA
TS/SCI REQUIRED
Position Responsibilities:
- Support NSG strategies through the creation of automated collection models, dynamic analytic models, workflow automations, and any other automation processes and products as assigned.
- Refine, enhance and improve the operational performance of any automated solution through the evaluation of performance data, regular customer interaction, and a standardized maintenance cycle.
- Apply data science and visual programming tradecraft to support and streamline analysis tasks as identified by stakeholders and the Government.
- Enhance technical solutions to problems related to IC intelligence integration, automated collections, tipping and cueing, information sharing, and visualization.
- Conduct extensive collections and analytic modeling, data processing,
Required Skills. Proficiency in common geospatial software applications and tools, such as visual programming (JEMA, FADE/MIST, ECO/ETAS), Python, SQL, Git, GIMS, AWS Sagemaker, AWS Cloud, ESRI ArcGIS, statistics (descriptive, Bayesian), Markov-Chain modelling, TensorFlow, Linear Algebra, R, SAS, NLP.
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