Data Scientist Jobs in St. Louis.
All active Data Scientist roles based in St. Louis.
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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
California Residents - Please review our Privacy Notice here.
Ready to apply?
Apply to RADaR
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
California Residents - Please review our Privacy Notice here.
Ready to apply?
Apply to RADaR
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
California Residents - Please review our Privacy Notice here.
Ready to apply?
Apply to RADaR
Senior Exploitation Specialist / Data Scientist
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OVERVIEW
Streamline Defense is hiring a Senior GEOINT Data Scientist to support the National Geospatial-Intelligence Agency. You will own the accuracy, consistency, and governance of geospatial data, developing and maintaining data standards while assessing analytic products for tradecraft and rigor across organizational and intra-IC boundaries.
RESPONSIBILITIES
- Maintain accuracy and consistency of geospatial data management, including data standards development and protection of data per office and agency regulations
- Perform in-depth analysis of analytic operations and knowledge management issues across organizational and intra-IC boundaries, and clearly articulate findings
- Review analytic products for argumentation, tradecraft, industry and agency standards, and analytic rigor
- Analyze complex data landscapes, identify data risks, and define mitigation strategies
- Coordinate the implementation of data improvement initiatives in collaboration with cross-functional stakeholders
- Maintain data governance artifacts and support audits and compliance requirements
REQUIREMENTS
- Active TS/SCI security clearance. Must be willing to take a CI Polygraph if required.
- 5+ years of experience in geospatial data management, data governance, or data stewardship, preferably in a complex organizational environment. A combination of education, professional certifications, and training may be substituted in lieu of years of experience.
- Proficiency in SQL and a foundational understanding of database technologies, with the ability to analyze and profile data
- Strong understanding of data management principles, data governance frameworks, and data quality concepts
- Familiarity with data privacy regulations and their impact on data management practices
- Proficiency in the ESRI suite, geodatabase technologies, and web capabilities
- Working knowledge of geospatial metadata, standards, and implementation
- Excellent documentation, communication, and collaboration skills
ABOUT STREAMLINE
Streamline Defense is a Service-Disabled Veteran-Owned Small Business (SDVOSB) delivering professional and technical solutions across the Defense and Intelligence Enterprise. Our analysts, engineers, and cleared professionals support customers spanning the IC, U.S. Combatant Commands, and Military Services, contributing to some of the nation's most critical missions.
At Streamline, we foster a high-performance culture where driven professionals can grow, innovate, and make an impact. We provide an entrepreneurial environment where initiative is valued, expertise is rewarded, and contributions directly shape mission success. We offer competitive compensation, full benefits including health, dental, and vision, a 401k, and the kind of environment where your contributions are visible and your growth is real. This is the place to build your career if you are looking for meaningful work, top-tier colleagues, and the opportunity to make a real impact.
EQUAL EMPLOYMENT OPPORTUNITY (EEO) STATEMENT
Streamline is an equal-opportunity employer and is committed to hiring and retaining a diverse workforce. We recruit, hire, and promote based on qualifications, merit, and mission requirements, ensuring fair treatment for all employees and applicants. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law.
Ready to apply?
Apply to Streamline DefenseOverview
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!
Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.
Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.
Ready to apply?
Apply to Esri
Data Scientist - MID Job#480
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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.
Ready to apply?
Apply to Allen Integrated Solutions