Senior data scientist jobs in Springfield, MO - 443 jobs

We're seeking an experienced Data Engineer to help design and build a cloud-native big data analytics platform on AWS. You'll work in an agile engineering team alongside data scientists and engineers to develop scalable data pipelines, analytics, and visualization capabilities. Key Highlights: Build and enhance data pipelines and analytics using Python, R, and AWS services (Glue, Lambda, Redshift, EMR, QuickSight, SageMaker) Design and support big data solutions leveraging Spark, Hadoop, and Redshift Apply DevOps and Infrastructure as Code practices (Terraform, Ansible, AWS CDK) Collaborate cross-functionally to align data architecture with business goals Support security, quality, and operational excellence initiatives Requirements: 7+ years of data engineering experience Strong AWS cloud and big data background Experience with containerization (EKS/ECR), APIs, and Linux Location: Hybrid in St. Louis, MO area (onsite 2-3 days)

Shift: none __________________________________________________________________________________________________ Masego is an award-winning small business that specializes in GEOINT services. As a Service-Disabled Veteran-Owned Small Business (SDVOSB), we recognize and award your hard work. Description We are looking for a Senior-level TS/SCI-cleared Data Scientist Analyst to join our team! This Data Scientist will lead the design and application of methods to identify, collect, process, and analyze large volumes of data to build and enhance products, processes, and systems. This position will help accelerate the implementation of the NGA Data Strategy and crisis response to the community. Minimum Required Qualifications: About 10 years of relevant experience Demonstrated ability to operate successfully in a fast-paced and dynamic environment as a team member. Work across the office enhance workflows in addition to create efficiencies that result in greater productivity. Lead projects using advanced mathematical, statistical, and scientific techniques and principles to examine complex missions and operational problems and create insights from data. Support data analytics, data cleansing, analyst workflow efficiencies, and transformation supporting Extract, Transform, and Load (ETL) capabilities. Apply statistical and analytic methods to support answering intelligence questions and mission requirements. Build lightweight analytic tools to visualize analytic outputs for intelligence consumers. Design methods and mechanisms to track, report, and monitor a set of mission specific objects in order to maintain custody of those objects for various orders of battle. Preferred Qualifications, Education and Certifications: Bachelor Degree in a related field. Degree counts toward total years of experience. Security Clearance Requirement: Active TS/SCI, must be willing to take and pass a CI polygraph Salary: $128,000+ based on ability to meet or exceed stated requirements Position Number: B-018-GSB-003 / B-018-GSB-008 / B-018-GSB-010 About Masego Masego Inc. provides expert Geospatial Intelligence Solutions in addition to Activity Based Intelligence (ABI) and GEOINT instructional services. Masego provides expert-level Geospatial Collection Management, Full Motion Video; Human Geography; Information Technology and Cyber; Technical Writing; and ABI, Agile, and other professional training. Masego is a Service-Disabled Veteran-Owned Small Business headquartered in Fredericksburg, Virginia. With high-level expertise and decades of experience, coupled with proven project management systems and top-notch client support, Masego enhances the performance capabilities of the Department of Defense and the intelligence community. Pay and Benefits We seek to provide and take care of our team members. We currently offer Medical, Dental, Vision, 401k, Generous PTO, Referral bonuses, and more! Diversity Masego, Inc. is an equal opportunity/equal access/affirmative action employer fully committed to achieving a diverse workforce and complies with all applicable Federal and Virginia State laws, regulations, and executive orders regarding nondiscrimination and affirmative action in its programs and activities. Masego, Inc. does not discriminate on the basis of race, color, religion, ethnic or national origin, gender, genetic information, age, disability, sexual orientation, gender identity, gender expression, and veteran's status.

About the Role Culmen International is hiring Sr. Exploitation Specialist/Data Scientists to provide support on-site at the National Geospatial-Intelligence Agency (NGA) in St. Louis, MO. The National Geospatial-Intelligence Agency (NGA) expects to deliver AOS Metadata Cataloging and Management Services to enhance product and asset management of content enabling rapid creation of discoverable, modular, web enabled, and visually enriched Geospatial Intelligence (GEOINT) products for intelligence producers in NGA, across the National System for Geospatial-Intelligence (NSG). TALENT PIPELINE - Qualified applicants will be contacted as soon as funding for this position is secured. What You'll Do in Your New Role The Data Scientist will coordinate with our clients to understand questions and issues involving the client's datasets, then determine the best method and approach to create data-driven solutions within program guidelines. This position will be relied upon as a Subject Matter Expert (SME), and be expected to lead/assist in the development of automated processes, architect data science solutions, automated workflows, conduct analysis, use available tools to analyze data, remain adaptable to mission requirements, and identify patterns to help solve some of the complex problems that face the DoD and Intelligence Community (IC). Work with large structured / unstructured data in a modeling and analytical environment to define and create streamline processes in the evaluation of unique datasets and solve challenging intelligence issues Lead and participate in the design of solutions and refinement of pre-existing processes Work with Customer Stakeholders, Program Managers, and Product Owners to translate road map features into components/tasks, estimate timelines, identify resources, suggest solutions, and recognize possible risks Use exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data Combine applied mathematics, programming skills, analytical techniques, and data to provide impactful insights for decision makers Research and implement optimization models, strategies, and methods to inform data management activities and analysis Apply big data analytic tools to large, diverse sets of data to deliver impactful insights and assessments Conduct peer reviews to improve quality of workflows, procedures, and methodologies Help build high-performing teams; mentor team members providing development opportunities to increase their technical skills and knowledge Required Qualifications Requires TS/SCI Clearance with the ability to obtain a CI/Poly. 10+ years of relevant experience. (A combination of years of experience & professional certifications/trainings can be used in lieu of years of experience) Experience supporting IC operations Possess expert level knowledge to manipulate and analyze structured/ unstructured data Demonstrated experience in data mining and developing/maintaining/manipulating databases Demonstrated experience in identifying potential systems enhancements, new capabilities, concept demonstrators, and capability business cases Demonstrated experience using GOTS data processing and analytics capabilities to modernize analytic methodologies Demonstrated experience using COTS statistical software (Map Large, Tableau, MatLab) for advanced statistical analysis of operational tools and data visualization which enables large datasets to be interrogated and allows for patterns, relationships, and anticipatory behavioral likelihoods that may not be apparent using traditional single discipline means Knowledge of advanced analytic methodologies, and experience in implementing and executing those methodologies to enable customer satisfaction Demonstrated experience in directing activities of highly skilled technical and analytical teams responsible for developing solutions to highly complex analytical/intelligence problems Experienced in conducting multi-INT and technology specific research to support mission operations Possess effective communications skills; capable of providing highly detailed information in an easy-to-understand format Desired Qualifications Possess Master's degree in Data Science or related technical field Experience developing and working with Artificial Intelligence and Machine Learning (AI/ML) Demonstrated experience of advanced programming techniques, using one or more of the following: HTML 5/Javascript, ArcObjects, Python, Model Builder, Oracle, SQL, GIScience, GeospatiavAnalysis, Statistics, ArcGIS Desktop, ArcGIS Server, Arc SDE, ArcIMS. Experience using NET, Python, C++, and/or JAVA programming for web interface development and geodatabase development. Experience building and maintaining databases of GEOINT, SIGINT, or OSINT data related to the area of interest needs. Data Visualization Experience which may include Matrix Analytics, Network Analytics, Graphing Data that assist the analytical workforce in generating common operational pictures depicting fused intelligence and information to support informal assessments and finished products About the Company Culmen International is committed to enhancing international safety and security, strengthening homeland defense, advancing humanitarian missions, and optimizing government operations. With experience in over 150 countries, Culmen supports our clients to accomplish critical missions in challenging environments. Exceptional Medical/Dental/Vision Insurance, premiums for employees are 100% paid by Culmen, and dependent coverage is available at a nominal rate (including same or opposite sex domestic partners) 401k - Vested immediately and 4% match Life insurance and disability paid by the company Supplemental Insurance Available Opportunities for Training and Continuing Education 12 Paid Holidays To learn more about Culmen International, please visit ************** At Culmen International, we are committed to creating and sustaining a workplace that upholds the principles of Equal Employment Opportunity (EEO). We believe in the importance of fair treatment and equal access to opportunities for all employees and applicants. Our commitment to these principles is unwavering across all our operations worldwide.

Job Description ***Requires an active TS/SCI Security Clearance**** What Impact You'll Have: We are looking for a Senior Data Scientist, with experience processing and analyzing large datasets, who will use their technical knowledge, experience, and customer-centric focus to create and deliver world-class analytic processes, scripting solutions, and data modeling content. This is a mission-driven opportunity to support the DoD and Intelligence Community. The Data Scientist will coordinate with our clients to understand questions and issues involving the client's datasets, then determine the best method and approach to create data-driven solutions within program guidelines. This position will be relied upon as a Subject Matter Expert (SME), and be expected to lead/assist in the development of automated processes, architect data science solutions, automated workflows, conduct analysis, use available tools to analyze data, remain adaptable to mission requirements, and identify patterns to help solve some of the complex problems that face the DoD and Intelligence Community (IC). What You'll Be Owning: Work with large structured / unstructured data in a modeling and analytical environment to define and create streamline processes in the evaluation of unique datasets and solve challenging intelligence issues Lead and participate in the design of solutions and refinement of pre-existing processes Work with Customer Stakeholders, Program Managers, and Product Owners to translate road map features into components/tasks, estimate timelines, identify resources, suggest solutions, and recognize possible risks Use exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data Combine applied mathematics, programming skills, analytical techniques, and data to provide impactful insights for decision makers Research and implement optimization models, strategies, and methods to inform data management activities and analysis Apply big data analytic tools to large, diverse sets of data to deliver impactful insights and assessments Conduct peer reviews to improve quality of workflows, procedures, and methodologies Help build high-performing teams; mentor team members providing development opportunities to increase their technical skills and knowledge What You Must Have: Active TS/SCI Clearance with ability to obtain a CI Poly 10+ years of relevant experience. (A combination of years of experience & professional certifications/trainings can be used in lieu of years of experience) Experience supporting IC operations Possess expert level knowledge to manipulate and analyze structured/ unstructured data Demonstrated experience in data mining and developing/maintaining/manipulating databases Demonstrated experience in identifying potential systems enhancements, new capabilities, concept demonstrators, and capability business cases Demonstrated experience using GOTS data processing and analytics capabilities to modernize analytic methodologies Demonstrated experience using COTS statistical software (Map Large, Tableau, MatLab) for advanced statistical analysis of operational tools and data visualization which enables large datasets to be interrogated and allows for patterns, relationships, and anticipatory behavioral likelihoods that may not be apparent using traditional single discipline means Knowledge of advanced analytic methodologies, and experience in implementing and executing those methodologies to enable customer satisfaction Demonstrated experience in directing activities of highly skilled technical and analytical teams responsible for developing solutions to highly complex analytical/intelligence problems Experienced in conducting multi-INT and technology specific research to support mission operations Possess effective communications skills; capable of providing highly detailed information in an easy-to-understand format What Would Be Nice to Have: Possess Master's degree in Data Science or related technical field Experience developing and working with Artificial Intelligence and Machine Learning (AI/ML) Demonstrated experience of advanced programming techniques, using one or more of the following: HTML 5/Javascript, ArcObjects, Python, Model Builder, Oracle, SQL, GIScience, GeospatiavAnalysis, Statistics, ArcGIS Desktop, ArcGIS Server, Arc SDE, ArcIMS. Experience using NET, Python, C++, and/or JAVA programming for web interface development and geodatabase development. Experience building and maintaining databases of GEOINT, SIGINT, or OSINT data related to the area of interest needs. Data Visualization Experience which may include Matrix Analytics, Network Analytics, Graphing Data that assist the analytical workforce in generating common operational pictures depicting fused intelligence and information to support informal assessments and finished products Why Choose GRVTY The toughest national security challenges demand vision and ingenuity, not just resources. We deliver mission and technical expertise to outpace our adversaries. We're purpose-built to tackle the most entrenched, systemic national security issues around the world. We partner with our customers to help them overcome challenges in every corner of technology and defense-including the ones still being explored. Our growing capabilities create complementary advantages, giving on-the-ground operations the edge they need to succeed. We muster everything we have to answer every challenge presented, every day of our lives. At GRVTY, we believe that when our employees thrive, our company thrives. That's why we offer a comprehensive and competitive benefits package designed to support your well-being, growth, and work-life balance. • Robust health plan including medical, dental, and vision • Health Savings Account with company contribution • Annual Paid Time Off and Paid Holidays • Paid Parental Leave • 401k with generous company match • Training and Development Opportunities • Award Programs • Variety of Company Sponsored Events EEO Statement GRVTY, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran and will not be discriminated against on the basis of disability. Anyone requiring reasonable accommodations should email ******************** or call ************ with requested details. A member of the HR team will respond to your request within 2 business days. Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov) Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit, we will also keep your resume in our database for future opportunities.

Job Name: Data Scientist Level: Senior Remote Work: No Required Clearance: TS/SCI Pending funding RESPONSIBILITIES: Work with large structured / unstructured data in a modeling and analytical environment to define and create streamline processes in the evaluation of unique datasets and solve challenging intelligence issues Lead and participate in the design of solutions and refinement of pre-existing processes Work with Customer Stakeholders, Program Managers, and Product Owners to translate road map features into components/tasks, estimate timelines, identify resources, suggest solutions, and recognize possible risks Use exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data Combine applied mathematics, programming skills, analytical techniques, and data to provide impactful insights for decision makers Research and implement optimization models, strategies, and methods to inform data management activities and analysis Apply big data analytic tools to large, diverse sets of data to deliver impactful insights and assessments Conduct peer reviews to improve quality of workflows, procedures, and methodologies Help build high-performing teams; mentor team members providing development opportunities to increase their technical skills and knowledge REQUIRED QUALIFICATIONS: Requires TS/SCI Clearance with the ability to obtain a CI/Poly. 10+ years of relevant experience. (A combination of years of experience & professional certifications/trainings can be used in lieu of years of experience) Experience supporting IC operations Possess expert level knowledge to manipulate and analyze structured/ unstructured data Demonstrated experience in data mining and developing/maintaining/manipulating databases Demonstrated experience in identifying potential systems enhancements, new capabilities, concept demonstrators, and capability business cases Demonstrated experience using GOTS data processing and analytics capabilities to modernize analytic methodologies Demonstrated experience using COTS statistical software (Map Large, Tableau, MatLab) for advanced statistical analysis of operational tools and data visualization which enables large datasets to be interrogated and allows for patterns, relationships, and anticipatory behavioral likelihoods that may not be apparent using traditional single discipline means Knowledge of advanced analytic methodologies, and experience in implementing and executing those methodologies to enable customer satisfaction Demonstrated experience in directing activities of highly skilled technical and analytical teams responsible for developing solutions to highly complex analytical/intelligence problems Experienced in conducting multi-INT and technology specific research to support mission operations Possess effective communications skills; capable of providing highly detailed information in an easy-to-understand format DESIRED QUALIFICATIONS: Possess Master's degree in Data Science or related technical field Experience developing and working with Artificial Intelligence and Machine Learning (AI/ML) Demonstrated experience of advanced programming techniques, using one or more of the following: HTML 5/Javascript, ArcObjects, Python, Model Builder, Oracle, SQL, GIScience, GeospatiavAnalysis, Statistics, ArcGIS Desktop, ArcGIS Server, Arc SDE, ArcIMS. Experience using NET, Python, C++, and/or JAVA programming for web interface development and geodatabase development. Experience building and maintaining databases of GEOINT, SIGINT, or OSINT data related to the area of interest needs. Data Visualization Experience which may include Matrix Analytics, Network Analytics, Graphing Data that assist the analytical workforce in generating common operational pictures depicting fused intelligence and information to support informal assessments and finished products Chopine Analytic Solutions is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, any other non-merit factor, or any other characteristic protected by law.

Chance to work on financial data for complex problems/challenges. Utilize LLMs/Genai systems and architectures to build and deploy state-of-the-art Genai systems. Our team collaborates closely with Finance teams to enhance financial planning and strategic decision-making through cutting-edge data-driven solutions. We specialize in a range of initiatives which provides actionable insights into trends and patterns and leveraging Generative AI (Genai) to produce concise, insightful summaries that empower decision-makers. By integrating these innovative approaches, we strive to drive efficiency, accuracy, and impactful outcomes in financial operations. Key Responsibilities: Develop data science systems and tools for retail; e-commerce applications: Leverage LLMS to summarize and build large scale applications Establish cross-functional relationships to maintain win-win situation for the corporation Collaborate with various product stake holders and business owners to formulate and productionize a solution. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: **************************************************** Skills and Requirements Master's degree or PHD in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in analytics related field. Experience with training and inference of large-scale AI models such as Large Language Models (LLMs), multimodal models, and reasoning models. Knowledge of advanced model optimization techniques, including quantization, pruning, distillation, Low-Rank Adaptation (Lora), and Parameter-Efficient Fine-Tuning (PEFT) for cloud deployment. Solid understanding of LLMs and Genai ecosystems, including GPT, LLaMA, Mistral, Claude, Gemini, AWS Sonnet, and related frameworks/tools. Hands-on experience with RAG (Retrieval-Augmented Generation), AI agent development, and frameworks such as Lang Chain, Langgraph etc. Experience with Big Data processing and feature engineering using Spark Experience with training machine learning models through Cloud Services including Google Cloud Platform and Microsoft Azure Hands on experience of designing and training large DL models on GPU farm

Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them. Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself. ***Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time, including CPT/OPT.*** The Senior Data Scientist of Responsible AI serves as a senior individual contributor within Empower's Responsible AI (RAI) team. This role embeds directly with multiple AI delivery teams as a matrixed partner, ensuring AI and GenAI systems are measurable, transparent, safe, and aligned with Responsible AI principles. The position focuses on evaluation methodology, model behavior analysis, and operationalizing Responsible AI practices in collaboration with engineering, QA, security, and governance partners. What you will do: Lead evaluation and validation of AI and GenAI systems, including assessment of hallucination, fairness, robustness, explainability, and other model behavior risks. Design and implement repeatable evaluation workflows, benchmark datasets, and structured model behavior tests. Serve as the Responsible AI data science partner for assigned AI delivery teams, guiding the integration of RAI metrics, guardrails, and evaluation practices. Translate research findings and experimental methods into scalable, platform-ready evaluation capabilities. Collaborate with AI/ML engineers and QA analysts to align evaluation logic with testing pipelines and deployment workflows. Support the creation of model cards, evaluation documentation, and transparency artifacts required for governance and review. Provide Responsible AI consultation to product, engineering, risk, legal, and governance stakeholders. Mentor junior and mid-level data scientists on evaluation design, experimental rigor, and Responsible AI practices. What you will bring: Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field, or equivalent experience. 6+ years of professional data science experience. Demonstrated experience developing or evaluating AI/ML systems in production or pre-production environments. Strong grounding in experimental design, statistical analysis, and model evaluation methodology. Experience collaborating with engineering and product teams in an agile, iterative delivery environment. Proficiency in Python and SQL for data analysis and evaluation workflows. Experience working with modern cloud platforms such as AWS. Strong communication skills and ability to operate effectively in a matrixed team model. Technology Environment Cloud platforms such as AWS, including managed data and ML services. Data storage and retrieval technologies such as relational and NoSQL databases. Data analysis and visualization tools such as Python libraries, QuickSight, Tableau, or Power BI. Collaboration and delivery tools supporting agile development and cross-functional workflows. Security and Risk Awareness Contribute to Responsible AI and security-by-design practices by ensuring evaluation methods consider safety, misuse, and model risk. Partner with engineering, security, and governance teams to identify, document, and mitigate AI-related risks surfaced through evaluation activities. Support evolving security and risk requirements as they relate to AI system behavior, testing, and governance reviews. What Will Set You Apart Experience evaluating Generative AI or LLM-based systems. Hands-on work with explainability, fairness analysis, hallucination detection, or robustness testing techniques. Familiarity with Responsible AI principles, governance frameworks, or model documentation practices. Experience translating research or experimental methods into repeatable, production-aligned workflows. This is not intended to be an exhaustive list of all duties, responsibilities and qualifications of the job. The employer has the right to revise this at any time. You will be evaluated in part based on your performance of the responsibilities and/or tasks listed in this . You may be required perform other duties that are not included on this . The job description is not a contract for employment, and either you or the employer may terminate employment at any time, for any reason. What we offer you We offer an array of diverse and inclusive benefits regardless of where you are in your career. We believe that providing our employees with the means to lead healthy balanced lives results in the best possible work performance. Medical, dental, vision and life insurance Retirement savings - 401(k) plan with generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contribution, and a broad investment lineup Tuition reimbursement up to $5,250/year Business-casual environment that includes the option to wear jeans Generous paid time off upon hire - including a paid time off program plus ten paid company holidays and three floating holidays each calendar year Paid volunteer time - 16 hours per calendar year Leave of absence programs - including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA) Business Resource Groups (BRGs) - BRGs facilitate inclusion and collaboration across our business internally and throughout the communities where we live, work and play. BRGs are open to all. Base Salary Range $105,700.00 - $149,275.00 The salary range above shows the typical minimum to maximum base salary range for this position in the location listed. Non-sales positions have the opportunity to participate in a bonus program. Sales positions are eligible for sales incentives, and in some instances a bonus plan, whereby total compensation may far exceed base salary depending on individual performance. Actual compensation offered may vary from posted hiring range based upon geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer. Equal opportunity employer • Drug-free workplace We are an equal opportunity employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to age (40 and over), race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law. ***For remote and hybrid positions you will be required to provide reliable high-speed internet with a wired connection as well as a place in your home to work with limited disruption. You must have reliable connectivity from an internet service provider that is fiber, cable or DSL internet. Other necessary computer equipment, will be provided. You may be required to work in the office if you do not have an adequate home work environment and the required internet connection.*** Job Posting End Date at 12:01 am on: 01-24-2026 Want the latest money news and views shaping how we live, work and play? 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Connect Talent Solutions is a fast growing, innovative staffing firm offering direct placement, contract and contract to hire solutions. We are uniquely positioned and experienced to support your requirements from IT and engineering to general labor and customer service positions. At Connect, people are the center of our universe and we go to great lengths to ensure that our customers and candidates have the most enjoyable and informational hiring experience that will encourage and foster fruitful, long term relationships and careers. Job Description: As a Junior Data Scientist, you will work as part of a small team of data engineers, database developers and visualization specialists to analyze large sets of structured data, looking for anomalies and undiscovered correlations. You will combine analytic, Python, and R skills to discover and solve data problems obscured to the layman by the sheer volume of data, apply fuzzy matching and statistical analysis to find and deal with inaccurate data points or missing data, and work with data providers to correct their input feeds. You will use a variety of tools to profile and visualize data, developing reports, dashboards, and repeatable analyses for leadership. Job Responsibilities: Perform deep dive analysis into data sets and reports to identify problems or suspected issues with collected data. Analyze business operations requirements for data, evaluate existing data quality, and recommend improvement opportunities. Analyze output products to assure data quality and conformance to requirements. Participate in continuous improvement efforts to increase available data quality and speed of delivery. Participate on an Agile development team, using Scrum techniques, as a contributing development team member. Qualifications Bachelor's degree preferred, however, adequate work experience and training will be considered for a stellar candidate. Agile development certifications preferred. TS/SCI clearance required Desired Core Skills: Good Python Scripting SQL Scripting MS Excel (e.g., vlookup, pivot tables , etc) Time management skills and the drive to work with limited supervision within a small team Ability to manage priorities across multiple project tasks Preferable Secondary Skills: Familiarity with Agile Scrum methodologies Experience with analytic tools like Tableau, Kibana, or Alteryx, Experience with relational databases like Postgres, SQL Server, Oracle, or MySQL Jupiter Notebook R Studio Connect Talent Solutions is an Equal Opportunity Employer-Minorities/Females/Veterans/Individuals with Disabilities. Individuals with disabilities, including disabled veterans or veterans with service-connected disabilities, are encouraged to apply. Job Location: Springfield, VA

REMOTE / FULL TIME Amira Learning accelerates literacy outcomes by delivering the latest reading and neuroscience with AI. As the leader in third-generation edtech, Amira listens to students read out loud, assesses mastery, helps teachers supplement instruction and delivers 1:1 tutoring. Validated by independent university and SEA efficacy research, Amira is the only AI literacy platform proven to achieve gains surpassing 1:1 human tutoring, consistently delivering effect sizes over 0.4. Rooted in over thirty years of research, Amira is the first, foremost, and only proven Intelligent Assistant for teachers and AI Reading Tutor for students. The platform serves as a school district's Intelligent Growth Engine, driving instructional coherence by unifying assessment, instruction, and tutoring around the chosen curriculum. Unlike any other edtech tool, Amira continuously identifies each student's skill gaps and collaborates with teachers to build lesson plans aligned with district curricula, pulling directly from the district's high-quality instructional materials. Teachers can finally differentiate instruction with evidence and ease, and students get the 1:1 practice they specifically need, whether they are excelling or working below grade level. Trusted by more than 2,000 districts and working in partnership with twelve state education agencies, Amira is helping 3.5 million students worldwide become motivated and masterful readers. About this role: We are seeking a Data Scientist with expertise in the domain of reading science, education, literacy, and NLP; with practical experience building and utilizing Gen AI (LLM, image, and/or video) models. You will help to create Gen AI based apps that will power the most widely used Intelligent Assistant in U.S. schools, already helping more than 2 million children. We are looking for strong, education focused engineers who have a background using the latest generative AI models, with experience in areas such as prompt engineering, model evaluation; data processing for training and fine-tuning; model alignment, and human-feedback-based model training. Responsibilities include: * Design methods, tools, and infrastructure to enable Amira to interact with students and educators in novel ways. * Define approaches to content creation that will enable Amira to safely assist students to build their reading skills. This includes defining internal pipelines to interact with our content team. * Contribute to experiments, including designing experimental details and hypothesis testing, writing reusable code, running evaluations, and organizing and presenting results. * Work hands on with large, complex codebases, contributing meaningfully to enhance the capabilities of the machine learning team. * Work within a fully distributed (remote) team. * Find mechanisms for enabling the use of the Gen AI to be economically viable given the limited budgets of public schools. Who You Are: * You have a background in early education, reading science, literacy, and/or NLP. * You have at least one year of experience working with LLMs and Gen AI models. * You have a degree in computer science or a related technical area. * You are a proficient Python programmer. * You have created performant Machine Learning models. * You want to continue to be hands-on with LLMs and other Gen AI models over the next few years. * You have a desire to be at a Silicon Valley start-up, with the desire and commitment that requires. * You are able to enjoy working on a remote, distributed team and are a natural collaborator. * You love writing code - creating good products means a lot to you. Working is fun - not a passport to get to the next weekend. Qualifications * Bachelor's degree, and/or relevant experience * 1+ years of Gen AI experience - preferably in the Education SaaS industry * Ability to operate in a highly efficient manner by multitasking in a fast-paced, goal-oriented environment. * Exceptional organizational, analytical, and detail-oriented thinking skills. * Proven track record of meeting/exceeding goals and targets. * Great interpersonal, written and oral communication skills. * Experience working across remote teams. Amira's Culture * Flexibility - We encourage and support you to live and work where you desire. Amira works as a truly distributed team. We worked remotely before COVID and we'll be working remotely after the pandemic is long gone. Our office is Slack. Our coffee room is Zoom. Our team works hard but we work when we want, where we want. * Collaboration - We work together closely, using collaborative tools and periodic face to face get togethers. We believe great software is like movie-making. Lots of talented people with very different skills have to band together to build a great experience. * Lean & Agile -- We believe in ownership and continuous feedback. Yes, we employ Scrum ceremonies. But, what we're really after is using data and learning to be better and to do better for our teachers, students, and players. * Mission-Driven - What's important to us is helping kids. We're about tangible, measured impact. Benefits: * Competitive Salary * Medical, dental, and vision benefits * 401(k) with company matching * Flexible time off * Stock option ownership * Cutting-edge work * The opportunity to help children around the world reach their full potential Commitment to Diversity: Amira Learning serves a diverse group of students and educators across the United States and internationally. We believe every student should have access to a high-quality education and that it takes a diverse group of people with a wide range of experiences to develop and deliver a product that meets that goal. We are proud to be an equal opportunity employer. The posted salary range reflects the minimum and maximum base salary the company reasonably expects to pay for this role. Salary ranges are determined by role, level, and location. Individual pay is based on location, job-related skills, experience, and relevant education or training. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, sex, sexual orientation, gender identity or expression, age, disability, medical condition, pregnancy, genetic information, marital status, military service, or any other status protected by law.

At Navista, our mission is to empower community oncology practices to deliver patient-centered cancer care. Navista, a Cardinal Health company, is an oncology practice alliance co-created with oncologists and practice leaders that offers advanced support services and technology to help practices remain independent and thrive. True to our name, our experienced team is passionate about helping oncology practices navigate the future. We are seeking an innovative and highly skilled **Senior Data Scientist** with specialized expertise in Generative AI (GenAI), Large Language Models (LLMs), and Agentic Systems to join the Navista - Data & Advanced Analytics team supporting the growth of our Navista Application Suite and the Integrated Oncology Network (IoN). In this critical role, you will be at the forefront of designing, developing, and deploying advanced AI solutions that leverage the power of generative models and intelligent agents to transform our products and operations. You will be responsible for pushing the boundaries of what's possible, from foundational research to production-ready applications, working with diverse datasets and complex problem spaces, particularly within the oncology domain. The ideal candidate will possess a deep theoretical understanding and practical experience in building, fine-tuning, and deploying LLMs, as well as architecting and implementing agentic frameworks. You will play a key role in shaping our AI strategy, mentoring junior team members, and collaborating with cross-functional engineering and product teams to bring groundbreaking AI capabilities to life, including developing predictive models from complex, often unstructured, oncology data. **_Responsibilities_** + **Research & Development:** Lead the research, design, and development of novel Generative AI models and algorithms, including but not limited to LLMs, diffusion models, GANs, and VAEs, to address complex business challenges. + **LLM Expertise:** Architect, fine-tune, and deploy Large Language Models for various applications such as natural language understanding, generation, summarization, question-answering, and code generation, with a focus on extracting insights from unstructured clinical and research data. + **Agentic Systems Design:** Design and implement intelligent agentic systems capable of autonomous decision-making, planning, reasoning, and interaction within complex environments, leveraging LLMs as core components. + **Predictive Modeling:** Develop and deploy advanced predictive models and capabilities using both structured and unstructured data, particularly within the oncology space, to forecast outcomes, identify trends, and support clinical or commercial decision-making. + **Prompt Engineering & Optimization:** Develop advanced prompt engineering strategies and techniques to maximize the performance and reliability of LLM-based applications. + **Data Strategy for GenAI:** Work with data engineers to define and implement data collection, preprocessing, and augmentation strategies specifically tailored for training and fine-tuning generative models and LLMs, including techniques for handling and enriching unstructured oncology data (e.g., clinical notes, pathology reports). + **Model Evaluation & Deployment:** Develop robust evaluation metrics and methodologies for generative models, agentic systems, and predictive models. Oversee the deployment, monitoring, and continuous improvement of these models in production environments. + **Collaboration & Leadership:** Collaborate closely with machine learning engineers, software engineers, and product managers to integrate AI solutions into our products. Provide technical leadership and mentorship to junior data scientists. + **Innovation & Thought Leadership:** Stay abreast of the latest advancements in GenAI, LLMs, and agentic AI research. Proactively identify new opportunities and technologies that can enhance our capabilities and competitive advantage. + **Ethical AI:** Ensure the responsible and ethical development and deployment of AI systems, addressing potential biases, fairness, and transparency concerns. **_Qualifications_** + 8-12 years of experience as a Data Scientist or Machine Learning Engineer, with a significant focus on deep learning and natural language processing, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + Proven hands-on experience with Generative AI models (e.g., Transformers, GANs, VAEs, Diffusion Models) and their applications. + Extensive experience working with Large Language Models (LLMs), including fine-tuning, prompt engineering, RAG (Retrieval Augmented Generation), and understanding various architectures (e.g., GPT, Llama, BERT, T5). + Demonstrated experience in designing, building, and deploying agentic systems or multi-agent systems, including concepts like planning, reasoning, and tool use. + Strong experience working with unstructured data, particularly in the oncology domain (e.g., clinical notes, pathology reports, genomic data, imaging reports), and extracting meaningful features for analysis. + Demonstrated ability to create and deploy predictive capabilities and models from complex datasets, including those with unstructured components. + Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. + Experience with relevant libraries and tools (e.g., Hugging Face Transformers, LangChain, LlamaIndex). + Strong understanding of machine learning fundamentals, statistical modeling, and experimental design. + Experience with at least one cloud platforms ( GCP, Azure) for training and deploying large-scale AI models. + Excellent problem-solving skills, with the ability to tackle complex, ambiguous problems and drive solutions. + Strong communication and presentation skills, capable of explaining comp + Experience in the healthcare or life sciences industry, specifically with oncology data and research, highly preferred + Experience with MLOps practices for deploying and managing large-scale AI models, highly preferred + Familiarity with distributed computing frameworks (e.g., Spark, Dask), highly preferred + Experience contributing to open-source AI projects, highly preferred **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $123,400 - $176,300 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 02/15/2026 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

Brewer Science, Inc. is a major innovator of high-technology solutions for the semiconductor / microelectronics markets. We are currently seeking a purpose-driven candidate with an ownership mentality to fill an open position as a Data Scientist (level I, or II). This position will be located in Springfield, MO. Summary: A Data Scientist is responsible for working cross functionally in the organization with different groups to assist in data collection plans, to analyze, process, and model data, and to teach data collection strategies and data analysis. Data scientists will work with subject matter experts to interpret the results to create actionable plans for the company to optimize and improve our revenue streams. Additionally, data scientists will monitor and work toward ensuring the company shows a high statistical IQ in all outward-facing interactions. Responsibilities: Data Scientist I: * Work with diverse data from a wide range of projects across the business unit. * Perform data cleaning and manipulation to prepare datasets for analysis using techniques such as standardization and decomposition. * Perform exploratory data analysis to identify correlations, data integrity issues, and missing data. * Analyze large datasets to generate insights and identify patterns, working under guidance from senior data scientists. * Communicate data findings and suggest potential improvements to analyses and approaches. * Automate ETL (extract, transform, load) processes and monitor their performance. * Collaborate with scientists to understand data requirements and provide analysis support. * Develop basic statistical visualizations to highlight multi-dimensional correlations within data. * Seek feedback from senior team members and business groups for improving data analysis processes. Data Scientist II: * Same duties as Data Scientist I. * Additional duties as Data Scientist II: * Perform exploratory data analysis to uncover insights, anomalies, and correlations from complex datasets. * Automate and enhance existing data analysis pipelines and ensure quality control throughout the process. * Code as necessary in support of statistical consulting, maintaining organized documentation of code, encouraging other's documentation of code, and troubleshooting other's code. * Design, develop, and optimize advanced statistical models and machine learning (ML) and/or artificial intelligence (AI) algorithms. * Apply and integrate a variety of data pre-processing techniques to improve data quality and analysis outcomes. * Participate in cross-functional teams to identify opportunities for process improvement and data-driven decision-making. * Conduct detailed analysis and help develop strategies to improve data accuracy and integrity. * Provide support to junior data scientists and assist in mentoring them in analysis techniques and tools. * Develop clear, visual reports that effectively communicate complex data findings to non-technical stakeholders. Education & Credentials: Applicants are encouraged to submit a link to their GitHub profile showcasing relevant projects. Data Scientist I: * Bachelor's degree in statistics, computer science, mathematics, or relevant field and * Experience with SQL or similar language preferred and * Intermediate Python skills or similar language preferred and * Background in data analysis, parsing, and manipulation or * An equivalent combination of education and related experience. Data Scientist II: * Bachelor's Degree in Statistics, Computer Science, Mathematics, or relevant STEM field 2+ years of data querying experiences such as SQL or similar language or * An equivalent combination of education and related experience. * A master's degree is preferred. Benefits At Brewer Science, we are a Top Workplace, Certified Employee-Owned, Certified B Corp, and GreenCircle Certified Zero Waste to Landfill. By joining Brewer Science, you will be eligible to receive benefits including: * Medical, dental, vision, life, long- and short-term disability, identity theft protection, and pet insurance * Paid leave, including community service leave, wellness breaks, and other special leave * Employee stock ownership, 401k, and bonus plans * Educational assistance & employee assistance program Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor an employment visa for this position. Application Process: To apply for this position please complete the online application. This position is open until filled. Screening will begin immediately. Equal Employment Opportunity - M/F/Disability/Veterans

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Data Scientist, Sustainable TechnologyJob Overview: As the Senior Data Engineer / Scientist for Mastercard's Sustainable Technology, you will be the driving force behind the development and execution of cutting-edge data strategies and data environment frameworks. Your expertise will ensure the effective utilization of data, enabling the delivery of dependable Data & Analytics Services. You will collaborate with cross-functional teams and establish data-related best practices in alignment with Mastercard standards. Responsibilities: • Design, develop, and maintain new data capabilities and infrastructure for Mastercard's Sustainable Technology Internal Data Lake. • Create new data pipelines, data transfers, and compliance-oriented infrastructure to facilitate seamless data utilization within on-premise/cloud environments. • Identify existing data capability and infrastructure gaps or opportunities within and across initiatives and provide subject matter expertise in support of remediation. • Collaborate with technical teams and business stakeholders to understand data requirements and translate them into technical solutions. • Work with large datasets, ensuring data quality, accuracy, and performance. • Implement data transformation, integration, and validation processes to support analytics/BI and reporting needs. • Optimize and fine-tune data pipelines for improved speed, reliability, and efficiency. • Implement best practices for data storage, retrieval, and archival to ensure data accessibility and security. • Troubleshoot and resolve data-related issues, collaborating with the team to identify root causes. • Document data processes, data lineage, and technical specifications for future reference. • Participate in code reviews, ensuring adherence to coding standards and best practices. • Collaborate with DevOps teams to automate deployment and monitoring of data pipelines. • Additional tasks as required. All About You Education: • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field. Knowledge / Experience: • Proven experience as a Data Engineer / Scientist or similar role. • Deep understanding of data visualization, statistics, hypothesis testing, business intelligence tools, SQL, data cleaning, and data lifecycle management. • Proficiency in designing and implementing data tools, technologies, and processes. • Expertise in data engineering, ETL/ELT processes, data warehousing, and data modeling. • Strong command of data integration techniques and data quality management. • Hands-on experience with data technologies such as Hadoop, Spark, Python, SQL, Alteryx, NiFi, SSIS, etc. • Familiarity with cloud platforms and services, such as AWS, GCP, or Azure. • Excellent problem-solving skills and ability to provide innovative data solutions. • Strong leadership skills with a proven track record of guiding and mentoring a team. • 3+ years of experience in related field. • 3+ years of experience in delivering secure solutions in Financial Services Sector is preferred. • Broad understanding of Software Engineering Concepts and Methodologies is required. • Demonstrate MC Core Competencies. Skills/ Abilities: • Must be high-energy, detail-oriented, proactive and have the ability to function under pressure in an independent environment. • Experience building data pipelines through Spark with Scala/Python/Java on Hadoop or Object storage. • Expertise in Data Engineering and Data Analysis: implementing multiple end-to-end DW projects in Big Data Hadoop environment. • Experience working with databases like MS SQL Server, Oracle, and strong SQL knowledge. • Experience in BI tools like Tableau, Power BI. • Experience with Alteryx, SSIS, NiFi, Spark, Cloudera Machine Learning, S3 Protocol, PowerBI, NoSQL data structures, Splunk, Databricks, (added advantage) • Experience automating data flow processes in a Big Data environment. • Pulling in data from various monitoring platforms to aggregate and enable data science work to support ESG (ie sustainable impact) • Must provide the necessary skills to have a high degree of initiative and self-motivation to drive results. • Possesses strong communication skills -- both verbal and written - and strong relationship, collaborative skills and organizational skills. • Willingness and ability to learn and take on challenging opportunities and to work as a member of matrix based diverse and geographically distributed project team.Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. Pay Ranges O'Fallon, Missouri: $115,000 - $184,000 USD

We are looking for a Data Scientist! This position will play a key role in shaping data-driven strategies that directly influence the bank's profitability, customer value, and market competitiveness. This role sits at the intersection of analytics, finance, and product strategy - transforming data into pricing intelligence that supports smarter, faster business decisions. Will design and implement advanced pricing and profitability models for retail banking products, leveraging internal performance metrics, market benchmarks, and third-party data sources. Through predictive modeling, elasticity analysis, and scenario testing, will help the organization optimize deposit and loan pricing, forecast financial outcomes, and identify growth opportunities. Collaborating across product, finance, and executive teams, will translate complex analytical findings into clear business recommendations that drive strategic action. Will also contribute to enhancing our analytics infrastructure - improving data pipelines, model governance, and reporting capabilities to strengthen enterprise-wide decision-making. Core Expertise: Pricing strategy · Profitability modeling · Financial forecasting · Machine learning · SQL · Python · R · Data visualization · Strategic analytics · Cross-functional collaboration CapFed is an equal opportunity employer.

LRS is seeking a skilled Data & BI Engineer to design, build, and maintain scalable data solutions that power analytics and reporting across the organization. This hybrid role combines data architecture and engineering (integration, pipelines, modeling) with BI development (dashboards, visualizations, and insights). The ideal candidate is comfortable working across the full data stack and collaborating with business stakeholders to deliver actionable intelligence. This is an in-office position based out of our headquarters in Springfield, Illinois. Requirements 5+ years of experience in data engineering and data analytics. Proficiency in SQL Server and T-SQL. Experience with data modeling (star/snowflake schemas) and ETL/ELT processes. Experience with BI tools. Strong understanding of data governance, security, and performance optimization. Excellent communication and stakeholder engagement skills. The following will make you a stronger candidate Experience working with data warehouses. Experience with Power BI, DAX, and Power Query. Familiarity with Microsoft Fabric. Key Responsibilities Design and implement data pipelines using modern ETL/ELT tools. Develop and maintain semantic data models optimized for reporting and analytics. Build compelling Power BI dashboards and reports with functional, user-friendly visuals. Collaborate with business units to understand data needs and translate them into technical solutions. Ensure data quality, integrity, and governance across systems. Optimize performance of data solutions and BI assets. Support data integration across cloud and on-premises systems. Document architecture, data flows, and reporting logic. Success Factors The successful candidate will demonstrate expertise across the data stack, delivering reliable, high-quality data solutions and actionable insights. Success in this role will be measured by your ability to collaborate with business stakeholders, optimize data-driven processes, and drive impactful analytics initiatives. Organization Structure The LRS IT team consists of a Chief Information Officer, Director of IT, Director of Applications, Director of Information Security, and teams for networking, infrastructure, cloud, communications, end-user services, and applications. The team is based in Springfield, IL and manages the global operations at LRS. You will report to the Chief Information Officer. LRS is an equal opportunity employer. Applicants for employment will receive consideration without unlawful discrimination based on race, color, religion, creed, national origin, sex, age, disability, marital status, gender identity, domestic partner status, sexual orientation, genetic information, citizenship status or protected veteran status. Salary Range: $90,000-$130,000. This salary range represents the low and high end for this position. The salary will vary depending on factors including experience and skills. The range listed is just one component of LRS' total employee compensation, as we have a generous benefits package.

At Associated Electric Cooperative, we're committed to providing reliable energy to the communities we serve with passion and precision. We're a tight-knit team dedicated to keeping the lights on and the energy flowing smoothly across our expansive network! From technical to operational to professional disciplines, our team brings a wide variety of skills, talents, and expertise to the table. We believe in both dedicating ourselves to excellence and investing in your growth. Be part of building the tech that maintains the largest machine on earth-the U.S. power grid. Associated Electric owns and operates a fleet of power plants powering homes across the Midwest, and we're building a new product that will become the backbone of how Associated Electric Cooperative manages those power plants. This product will become the digital twin of our entire power plant fleet - used across the organization, from the plant floor to company leadership - giving everyone a shared, data-driven view of plant health and performance. It will unite asset data, financials, and strategic plans into one integrated platform that aligns daily operations with long-term strategy. To build this product, we need you - an engineer with deep data and modeling experience - on our Plant Asset Management Technology team. You'll join us on the ground floor of this new technology movement, shape the product, and work side-by-side with business stakeholders and software engineers to create something that matters. This will be a product that changes the game for its users, drives bottom-line impact for the company, and stands as a lighthouse example for the industry on how to make technology transform how we manage some of the most complex and critical assets in existence. You and your team won't be starting from scratch - the team already has full product management ownership of an ecosystem of power production technology systems that will integrate with this new product. Some are third-party systems, like our newly modernized enterprise asset management platform, and others are smaller 3rd or first-party tools that may be modernized or replaced as the new product the team is building comes online. Being part of supporting and evolving this ecosystem means that you'll have ample opportunity to know your users, run and improve the current systems, and chart the future for each product in a world where the digital twin becomes the hub of plant management. What you'll do: Own the Data Design: Architect lakehouse models and pipelines that bring together telemetry from thousands of sensors and devices with work management and financial data. Build the data mart and semantic model that power user-driven analytics. Build the Digital Twin: Design the high-level models that integrate asset-level predictive models with financial, work management, and operational data to create a true fleet-wide picture of health, risk, and performance. Work with business teams managing asset models to ensure they can connect seamlessly into the digital twin. Fuse the Enterprise: Integrate financial perspectives into reliability and lifecycle models, Continually find ways to bring in additional operational, planning, and maintenance systems to enrich the digital twin. Build for the Users: Champion the people who rely on this product - from plant floor staff to executives. Relentlessly look for better ways to capture, model, and deliver insights, and connect them to the information they need to make faster, smarter decisions. Ship! Ship! Ship! Work with PM, UX, software engineers, and expert stakeholders to turn data, models, and visuals into a web app that users can't wait to adopt. Champion design, value, and quality so every release makes the product stronger. How we build: You'll work in a small, empowered agile product team with a dedicated Product Manager (your direct lead), UX designer, software engineers, and analysts - shipping fast, learning fast, and building toward a bigger vision. You'll collaborate daily to turn data and models into a web-based product that delights users, while iterating closely with plant staff and executives to ensure it works in the real world. You'll build on a cloud-first Microsoft stack - Azure, Databricks (Delta Lake), Azure SQL, Cosmos DB, Azure Web Apps, Python/C#. Importantly, you'll have leadership support and a mandate to deliver something that makes a lasting difference. What you'll need: Education & Core Skills: A bachelor's degree in a STEM field (or equivalent experience) with a strong foundation in data engineering, system design, and enterprise integration patterns. Modern Data Engineering Expertise: Proficiency with ETL/ELT frameworks, SQL/NoSQL, and cloud-based data platforms - especially Microsoft Azure (Storage Accounts, SQL Databases, Synapse Analytics, Data Factory, Data Lake, Delta Lake). Data Architecture: Deep understanding of how to design data architectures that power analytics and data science operations - including data modeling, star schemas, semantic layers, and decoupled system integration patterns that scale across the enterprise and support ML/AI workloads. Model Engineering: Build and evolve the high-level Databricks models that power the digital twin, combining financial, operational, and reliability data. Support business teams by integrating their asset-level models into fleet-wide views and ensuring they connect seamlessly into the larger platform. Data Visualization Mastery: Ability to design visualizations for clarity and density, building visual dashboards, charts, and tools that expert users can quickly and capably use to see insights and perform deep analytics. Familiarity with best practices (e.g., Stephen Few's work) is a big plus. Programming & Automation: Comfort with scripting or programming (Python or similar) to automate pipelines and integrate with downstream systems - bonus points if you can speak the language of software engineers and help guide how data integrates into the UI. Business Mindset: Ability to understand business processes, see the “why” behind requirements, and shape solutions that improve how the business runs - connecting technical decisions to business value. Collaboration & Influence: Excellent communication skills, able to navigate technical and business discussions, align diverse teams, and lead initiatives without formal authority. What Associated provides: We are committed to rewarding talent with top pay. Your efforts will be recognized with a total compensation package that reflects your experience and contributions. Plan for your future with confidence! We offer a robust 401(k) program with a generous employer match to help you build the financial future you deserve. We know how important work-life integration is. Recharge with PTO and enjoy paid holidays, ensuring you have time to unwind and pursue your passions outside of work. Your health matters to us! Stay covered beginning on your first day of employment with our premier healthcare plan that includes medical, dental, and vision coverage for you and your family. At Associated Electric Cooperative, all of our 700+ employees across MO/AR/OK territory play a crucial role in powering our mission! Whether you're an experienced professional or just starting your career, you'll find endless opportunities for career development here. Join us in an environment where your contribution is valued, and your career can thrive as we work together to keep the lights on! Ready to Energize your career? Visit our website at ******************** to learn more about Associated and apply for a position. Equal Opportunity Statement: AECI is fully committed to the concept and practice of equal opportunity in all aspects of employment. Please reference the contact information below if you require assistance in filling out an application. Individuals with disabilities should request reasonable accommodations in accordance with the Americans with Disabilities Act prior to an appointment. An equal opportunity employer and provider/disability/veteran.

LRS is seeking a skilled Data & BI Engineer to design, build, and maintain scalable data solutions that power analytics and reporting across the organization. This hybrid role combines data architecture and engineering (integration, pipelines, modeling) with BI development (dashboards, visualizations, and insights). The ideal candidate is comfortable working across the full data stack and collaborating with business stakeholders to deliver actionable intelligence. This is an in-office position based out of our headquarters in Springfield, Illinois. Requirements * 5+ years of experience in data engineering and data analytics. * Proficiency in SQL Server and T-SQL. * Experience with data modeling (star/snowflake schemas) and ETL/ELT processes. * Experience with BI tools. * Strong understanding of data governance, security, and performance optimization. * Excellent communication and stakeholder engagement skills. The following will make you a stronger candidate * Experience working with data warehouses. * Experience with Power BI, DAX, and Power Query. * Familiarity with Microsoft Fabric. Key Responsibilities * Design and implement data pipelines using modern ETL/ELT tools. * Develop and maintain semantic data models optimized for reporting and analytics. * Build compelling Power BI dashboards and reports with functional, user-friendly visuals. * Collaborate with business units to understand data needs and translate them into technical solutions. * Ensure data quality, integrity, and governance across systems. * Optimize performance of data solutions and BI assets. * Support data integration across cloud and on-premises systems. * Document architecture, data flows, and reporting logic. Success Factors The successful candidate will demonstrate expertise across the data stack, delivering reliable, high-quality data solutions and actionable insights. Success in this role will be measured by your ability to collaborate with business stakeholders, optimize data-driven processes, and drive impactful analytics initiatives. Organization Structure The LRS IT team consists of a Chief Information Officer, Director of IT, Director of Applications, Director of Information Security, and teams for networking, infrastructure, cloud, communications, end-user services, and applications. The team is based in Springfield, IL and manages the global operations at LRS. You will report to the Chief Information Officer. LRS is an equal opportunity employer. Applicants for employment will receive consideration without unlawful discrimination based on race, color, religion, creed, national origin, sex, age, disability, marital status, gender identity, domestic partner status, sexual orientation, genetic information, citizenship status or protected veteran status. Salary Range: $90,000-$130,000. This salary range represents the low and high end for this position. The salary will vary depending on factors including experience and skills. The range listed is just one component of LRS' total employee compensation, as we have a generous benefits package.

The Principal Data and Analytics Engineer holds comprehensive responsibility for the design, implementation, and continuous evolution of the organization's enterprise-wide data infrastructure and analytics capabilities. located in Springfield, MO. This role provides overarching technical vision, establishing architectural standards, and driving the long-term data strategy to facilitate critical business outcomes. Operating with a high degree of autonomy, this role influences executive leadership on data innovation, provides thought leadership and mentorship across the entire data and analytics engineering discipline, and champions data engineering maturity, innovation, scalability, security, and governance for all data assets. They are instrumental in translating the most complex and ambiguous business challenges into innovative, high-impact data solutions that fundamentally shape the organization's future. Responsibilities and Duties: * Help define and evolve enterprise data engineering blueprints, including data mesh, medallion architecture, and hybrid cloud data platforms. * Set strategic direction for data platforms, tools, and services (e.g., Snowflake, GCP BigQuery, dbt, Kafka, Airflow/Prefect) in alignment with future-state architecture and business priorities. * Architect and design highly scalable, resilient, cost optimal and secure data platforms. * Lead the design and implementation of next-generation data platforms, ensuring fault tolerance, high availability, and optimal performance for petabyte-scale data. * Establish and enforce organization-wide best practices for data pipeline development, CI/CD for data workflows, automated deployment playbooks, and robust rollback strategies. * Lead technology evaluation and adoption, proactively researching, evaluating, and championing the integration of cutting-edge data technologies, frameworks, and methodologies. * Define and scale enterprise knowledge management frameworks that ensure consistent documentation, discoverability, and reusability of data assets across domains. * Establish and govern standards for metadata management, data lineage, architectural diagrams, and runbooks. * Lead the design of federated governance models that empower domain-aligned teams to operate autonomously while conforming to centralized policies, frameworks and playbooks. * Collaborate with data governance, compliance, and security teams to operationalize policy-as-code frameworks for data retention, access control, and PII handling. * Advocate for and enable self-service knowledge discovery through tightly integrated cataloging tools (e.g., Alation, Collibra) and automated documentation generators. * Ensure robust documentation and versioning standards are embedded in CI/CD workflows for pipeline code, transformation logic, and schema changes. * Architect implementation of scalable, automated data quality frameworks that evaluate data at rest and in motion spanning completeness, timeliness, consistency, accuracy, and integrity. * Lead integration of data quality rules, metrics, and health indicators directly into orchestration layers (e.g., Prefect, Airflow) and transformation frameworks (e.g., dbt). * Evangelize a culture of data trust and transparency by integrating data quality insights into user-facing dashboards, alerts, and product health reports. * Identify and promote enterprise-wide data opportunities through thought leadership, white papers, reference architectures, and innovation labs. * Act as technical advisor to senior executives on data modernization, AI readiness, and platform consolidation strategies. * Enable intelligent operations and decisioning by translating unstructured business logic into structured knowledge artifacts, such as KPIs, rulesets, feature stores, and semantic models used by dashboards or AI agents. * Serve as a strategic translator between complex business challenges and modern data architecture by leading domain-level and cross-domain data product strategy engagements. * Lead the design of enterprise-grade data products that align with OKRs, business transformation goals, and operational needs ensuring value realization across functional areas like supply chain, marketing, store ops, or customer satisfaction. * Architect and operationalize a unified enterprise-wide semantic layer, metrics store, and business logic abstraction that powers dashboards, self-service analytics, and machine-readable APIs. * Lead initiatives to unify KPIs, standardize metric definitions, and streamline business logic through reusable models. * Design composable data assets and feature stores that enable real-time and offline access patterns for ML models, AI agents, and decision orchestration systems. * Lead readiness initiatives for integrating data systems with LLM-powered agents and copilots, ensuring robust grounding data, latency optimization, and lineage tracking. * Drive innovation in analytics automation, including anomaly detection, agent-triggered insights, * Serve as champion for complex analytics transformations, ensuring technical feasibility, business value realization, and adoption. * Drive culture change around data stewardship and accountability by embedding governance responsibilities into platform tooling and engineering workflows. * Lead internal communities of practice, workshops, and code reviews to disseminate modern data practices. * Mentor senior engineers across data and analytics engineering, elevating technical acumen and architectural judgment. * Influence hiring and team design decisions, supporting the scaling of high-performing, and collaborative data teams. * Represent the organization in external forums (conferences, meetups, technical alliances) and establish credibility as an industry thought leader. Required: * Proven experience architecting enterprise-scale data platforms and ecosystems, including hybrid and cloud-native environments (e.g., GCP BigQuery, Snowflake, Iceberg, Advanced SQL, Erwin, dbt, Kafka, Alation, Collibra) * Deep expertise in designing and scaling highly available, secure, and fault-tolerant batch and streaming pipelines with strong emphasis on cost optimization, observability, and latency control. * Advanced proficiency in semantic modeling, reusable data asset design, and cross-functional data product delivery aligned to medallion architecture. * Leadership in implementing CI/CD-enabled pipelines, RBAC frameworks, schema evolution strategies, and interoperable data exchange using Iceberg or equivalent table formats. * Ownership of organization-wide metrics store and semantic layers, ensuring consistency, governance, and performance across reporting, AI, and ML use cases. * Advanced expertise in programming languages such as Python, Scala, with the ability to architect complex data solutions. * Demonstrated leadership in designing and overseeing the implementation of scalable, idempotent workflows using orchestration frameworks such as Airflow and Prefect. * Demonstrated ability to translate business transformation goals into scalable data solutions and reusable patterns. * Deep understanding of business processes, KPIs, and capability maps across functions such as supply chain, customer, store ops, and finance. * Proven experience in driving cross-functional data product prioritization, influencing senior stakeholders, and quantifying impact of data initiatives. * Experience shaping enterprise-wide data strategy by defining the long-term technical vision and architectural evolution roadmap across platforms, domains, and business units driving adoption of scalable, and governed data products. * Experience leading platform modernization, tool evaluation, and architecture standardization across business domains. * Expert competency in analytical and problem-solving that is crucial for identifying and resolving issues. * Expertise in defining and enforcing enterprise-level data governance, metadata standards, and policy-as-code frameworks. * Led the design and deployment of automated data quality management systems across ingestion, transformation, and consumption layers. * Drive strategic KPI standardization by partnering with stakeholders, data stewards, and product teams to architect reusable semantic layers and metric definitions that enable trustworthy insights and LLM agent reasoning. Preferred: * Proven success enabling Iceberg-based, multi-cloud, interoperable data platforms with robust metadata, access control, and lineage frameworks. * Experience integrating testing and validation frameworks into CI/CD workflows for dbt transformations, pipeline observability, and ML feature testing. * Experience preparing enterprise data platforms for trustworthy insights, AI agentic readiness, including semantic alignment, real-time feature pipelines, and explainability. * Communication and presentation skills with the ability to convey complex architectural decisions to both technical and non-technical stakeholders. O'Reilly Auto Parts has a proven track record of growth and stability. O'Reilly is full of successful career stories and believes in a strong promote-from-within philosophy, encouraging you to grow your career along with the organization. Total Compensation Package: * Competitive Wages & Paid Time Off * Stock Purchase Plan & 401k with Employer Contributions Starting Day One * Medical, Dental, & Vision Insurance with Optional Flexible Spending Account (FSA) * Team Member Health/Wellbeing Programs * Tuition Educational Assistance Programs * Opportunities for Career Growth O'Reilly Auto Parts is an equal opportunity employer. The Company does not discriminate on the basis of race, religion, color, national origin or ancestry (including immigration status or citizenship), sex, sexual orientation, gender identity, pregnancy (including childbirth, lactation, and related medical conditions,) age (40 and over), veteran status, uniformed service member status, physical or mental disability, genetic information (including testing or characteristics) or another protected status as defined by local, state, or federal law, as applicable. Qualified individuals with a disability may be entitled to reasonable accommodation under the Americans with Disabilities Act. If you require a reasonable accommodation during the application or employment process, please send an email to: ******************* or call ************** option , and provide your requested accommodation, and position details.

The Lead Data Engineer is a senior individual contributor and technical leader responsible for the design, evolution, and reliability of data systems and pipelines across the organization. This role provides technical direction for data engineering initiatives, translates business and product needs into scalable data solutions, and leads execution across multiple engineers without formal people management responsibilities. This position requires working onsite in Springfield, Missouri. ESSENTIAL FUNCTIONS: * Leads the technical design and implementation of complex data pipelines, integrations, and platforms. * Translates business and product requirements into scalable data solutions. * Defines and maintains data engineering standards and best practices. * Leads code reviews and mentors engineers. * Drives resolution of complex data issues and production incidents. * Partners with product and analytics teams to improve data usability. * Forecasts platform evolution and scalability needs. * Supports development, maintenance, and operational stability. * ALL OTHER DUTIES AS ASSIGNED EXPERIENCE/QUALIFICATIONS: * Minimum Degree Required: Bachelor's Degree * Certificate(s) or License(s): A certificate of training or expert in one of the systems supported is preferred * Experience: 6-8 yrs experience in data engineering with skills in Snowflake, Python, AWS * Must have demonstrated experience designing solutions, working in partnership with data architects * Demonstrated experience leading complex technical initiatives. KNOWLEDGE, SKILLS, AND ABILITY: * Strong data engineering expertise * Ability to lead without direct people management * Strong analytical and communication skills TRAVEL REQUIREMENTS: * n/a PHYSICAL REQUIREMENTS: Regularly sits and does computer work. Occasionally walks and stands. Seldom/Never lifts up to 50 lbs. INDEPENDENT JUDGEMENT: Performs duties within scope of general company policies, procedures, and objectives. Analyzes problems and performs needs assessments. Uses judgment in adapting broad guidelines to achieve desired result. Regular exercise of independent judgment within accepted practices. Makes recommendations that affect policies, procedures, and practices. Full Time Benefits Summary: Enjoy discounts on retail merchandise, our restaurants, world-class resorts and conservation attractions! * Medical * Dental * Vision * Health Savings Account * Flexible Spending Account * Voluntary benefits * 401k Retirement Savings * Paid holidays * Paid vacation * Paid sick time * Bass Pro Cares Fund * And more! Bass Pro Shops is an equal opportunity employer. Hiring decisions are administered without regard to race, color, creed, religion, sex, pregnancy, sexual orientation, gender identity, age, national origin, ancestry, citizenship status, disability, veteran status, genetic information, or any other basis protected by applicable federal, state or local law. Reasonable Accommodations Qualified individuals with known disabilities may be entitled to reasonable accommodation under the Americans with Disabilities Act and certain state or local laws. If you need a reasonable accommodation for any part of the application process, please visit your nearest location or contact us at ************************. Bass Pro Shops

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Data Scientist, Sustainable Technology Job Overview: As the Senior Data Engineer / Scientist for Mastercard's Sustainable Technology, you will be the driving force behind the development and execution of cutting-edge data strategies and data environment frameworks. Your expertise will ensure the effective utilization of data, enabling the delivery of dependable Data & Analytics Services. You will collaborate with cross-functional teams and establish data-related best practices in alignment with Mastercard standards. Responsibilities: * Design, develop, and maintain new data capabilities and infrastructure for Mastercard's Sustainable Technology Internal Data Lake. * Create new data pipelines, data transfers, and compliance-oriented infrastructure to facilitate seamless data utilization within on-premise/cloud environments. * Identify existing data capability and infrastructure gaps or opportunities within and across initiatives and provide subject matter expertise in support of remediation. * Collaborate with technical teams and business stakeholders to understand data requirements and translate them into technical solutions. * Work with large datasets, ensuring data quality, accuracy, and performance. * Implement data transformation, integration, and validation processes to support analytics/BI and reporting needs. * Optimize and fine-tune data pipelines for improved speed, reliability, and efficiency. * Implement best practices for data storage, retrieval, and archival to ensure data accessibility and security. * Troubleshoot and resolve data-related issues, collaborating with the team to identify root causes. * Document data processes, data lineage, and technical specifications for future reference. * Participate in code reviews, ensuring adherence to coding standards and best practices. * Collaborate with DevOps teams to automate deployment and monitoring of data pipelines. * Additional tasks as required. All About You Education: * Bachelor's degree in Computer Science, Engineering, Data Science, or a related field. Knowledge / Experience: * Proven experience as a Data Engineer / Scientist or similar role. * Deep understanding of data visualization, statistics, hypothesis testing, business intelligence tools, SQL, data cleaning, and data lifecycle management. * Proficiency in designing and implementing data tools, technologies, and processes. * Expertise in data engineering, ETL/ELT processes, data warehousing, and data modeling. * Strong command of data integration techniques and data quality management. * Hands-on experience with data technologies such as Hadoop, Spark, Python, SQL, Alteryx, NiFi, SSIS, etc. * Familiarity with cloud platforms and services, such as AWS, GCP, or Azure. * Excellent problem-solving skills and ability to provide innovative data solutions. * Strong leadership skills with a proven track record of guiding and mentoring a team. * 3+ years of experience in related field. * 3+ years of experience in delivering secure solutions in Financial Services Sector is preferred. * Broad understanding of Software Engineering Concepts and Methodologies is required. * Demonstrate MC Core Competencies. Skills/ Abilities: * Must be high-energy, detail-oriented, proactive and have the ability to function under pressure in an independent environment. * Experience building data pipelines through Spark with Scala/Python/Java on Hadoop or Object storage. * Expertise in Data Engineering and Data Analysis: implementing multiple end-to-end DW projects in Big Data Hadoop environment. * Experience working with databases like MS SQL Server, Oracle, and strong SQL knowledge. * Experience in BI tools like Tableau, Power BI. * Experience with Alteryx, SSIS, NiFi, Spark, Cloudera Machine Learning, S3 Protocol, PowerBI, NoSQL data structures, Splunk, Databricks, (added advantage) * Experience automating data flow processes in a Big Data environment. * Pulling in data from various monitoring platforms to aggregate and enable data science work to support ESG (ie sustainable impact) * Must provide the necessary skills to have a high degree of initiative and self-motivation to drive results. * Possesses strong communication skills -- both verbal and written - and strong relationship, collaborative skills and organizational skills. * Willingness and ability to learn and take on challenging opportunities and to work as a member of matrix based diverse and geographically distributed project team. Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: * Abide by Mastercard's security policies and practices; * Ensure the confidentiality and integrity of the information being accessed; * Report any suspected information security violation or breach, and * Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. Pay Ranges O'Fallon, Missouri: $115,000 - $184,000 USD