Data scientist jobs in Springfield, MO - 580 jobs

Argo Group International Holdings, Inc.and American National, US based specialty P&C companies, (together known as BP&C, Inc.) are wholly owned subsidiaries of Brookfield Wealth Solutions, Ltd. ("BWS"), a New York and Toronto-listed public company. BWS is a leading wealth solutions provider, focused on securing the financial futures of individuals and institutions through a range of wealth protection and retirement services, and tailored capital solutions. Job Description American National is seeking an exceptional Reserving Actuary to join our dynamic and forward-thinking team at American National, where innovation meets collaboration! We are a leading company in the insurance industry, dedicated to shaping the future with our flagship Farm and Ranch product. Our team is passionate about delivering exceptional results and making a real impact. We are seeking a talented and motivated Assistant Actuary II to join our collaborative Reserving team. In this role you will have the opportunity to work on exciting and challenging projects while shaping the future of our team. Responsibilities * Perform monthly/quarterly reserve reviews, including analysis of loss development trends and reserve adequacy. * Collaborate with other functional areas (Claims, Finance, Underwriting, Pricing) to understand trends impacting reserve analyses and provide insights on key loss drivers. * Assist the Appointed Actuary on the Statement of Actuarial Opinion and other financial reporting requirements. * Prepare presentations/communications of analyses to various audiences. * Proactively monitor relevant trends. Track and report on appropriate metrics. * Persistent pursuit of improvement including streamlining processes, data, exploration of new methods, techniques, and practices. Qualifications * A Bachelor's degree in mathematics, statistics, economics, or a related field with a strong mathematical background is required. * 2 or more exams with desire to obtain ACAS * Prior experience with SQL, Python, or R strongly preferred. Position is posted between 90k and 137K Level of role, Assistant Actuary I or II, will be commensurate with experience PLEASE NOTE: Applicants must be legally authorized to work in the United States. At this time, we are not able to sponsor or assume sponsorship of employment visas. If you have a disability under the Americans with Disabilities Act or similar state or local law and you wish to discuss potential reasonable accommodations related to applying for employment with us, please contact our Benefits Department at . Notice to Recruitment Agencies: Resumes submitted for this or any other position without prior authorization from Human Resources will be considered unsolicited. BWS and / or its affiliates will not be responsible for any fees associated with unsolicited submissions. We are an Equal Opportunity Employer. We do not discriminate on the basis of age, ancestry, color, gender, gender expression, gender identity, genetic information, marital status, national origin or citizenship (including language use restrictions), denial of family and medical care leave, disability (mental and physical) , including HIV and AIDS, medical condition (including cancer and genetic characteristics), race, religious creed (including religious dress and grooming practices), sex (including pregnancy, child birth, breastfeeding, and medical conditions related to pregnancy, child birth or breastfeeding), sexual orientation, military or veteran status, or other status protected by laws or regulations in the locations where we operate. We do not tolerate discrimination or harassment based on any of these characteristics. The collection of your personal information is subject to our HR Privacy Notice Benefits and Compensation We offer a competitive compensation package, performance-based incentives, and a comprehensive benefits program-including health, dental, vision, 401(k) with company match, paid time off, and professional development opportunities.

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)

NISA Investment Advisors, LLC (NISA) offers customized investment solutions for tax-exempt and taxable institutional clients. NISA manages over $298 billion in fixed-income and equity securities and over $172 billion in derivative notional value. We seek bright, motivated individuals who can contribute to our growing team of professionals. Candidates with a high degree of independent thinking, strong analytical and quantitative skills, and team-playing abilities who desire to make a difference are encouraged to apply. Responsibilities The Data Engineer, Data Solutions is a member of NISA's Data Engineering team responsible for creating, updating and supporting ETL/ELT data pipelines for a variety of stakeholders across the enterprise. They will define, design, develop, unit test and support new and existing solutions to meet complicated and time-sensitive business requirements. In addition, the Data Engineer supports and manages high-severity production incident resolution, performs code reviews, and participates in on-call rotations. They should be comfortable working in a fast-paced team environment and have the skills to troubleshoot and resolve data integration issues independently. Qualifications Bachelor's degree in Computer Science or a related field or relevant work experience required 5+ years of experience with ETL/ELT 3+ years of experience with SQL Experience with Python, C#, or similar high-level language Experience with AWS, AWS Lambda, S3, Airflow, and related technologies Professional work experience with Databricks or PySpark Demonstrated team player who works well in a fast-paced environment and can adapt to changing priorities, demands, and timelines Strong analytical and innovative problem-solving skills, along with a solid attention to detail. Excellent customer support skills Preferred Experience: Microsoft SQL Server database development PostgreSQL database development SSIS development Working knowledge of Airflow or a similar business automation tool Developing software/databases in an Agile environment NISA's culture encourages collaboration and innovation. We seek self-motivated, intellectually curious individuals willing to push themselves and others in an environment that celebrates fresh thinking. We equip employees with the resources needed to excel and we encourage personal development. NISA is dedicated to internally cultivating and rewarding talent. Employees at NISA are provided with a wide range of benefits, including a complimentary onsite cafeteria, gym, health and wellness program, and educational assistance program. NISA 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 protected veteran status.

We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. **Required Skills:** Data Scientist, Analytics (Technical Leadership) Responsibilities: 1. Work with complex data sets to solve challenging problems using analytical and statistical approaches 2. Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies 3. Identify and measure success through goal setting, forecasting, and monitoring key metrics 4. Partner with cross-functional teams to inform and execute product strategy and investment decisions 5. Build long-term vision and strategy for programs and products 6. Collaborate with executives to define and develop data platforms and instrumentation 7. Effectively communicate insights and recommendations to stakeholders 8. Define success metrics, forecast changes, and set team goals 9. Support developing roadmaps and coordinate analytics efforts across teams **Minimum Qualifications:** Minimum Qualifications: 10. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 11. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab) 12. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development 13. Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance 14. Experience with predictive modeling, machine learning, and experimentation/causal inference methods 15. Experience communicating complex technical topics in a clear, precise, and actionable manner **Preferred Qualifications:** Preferred Qualifications: 16. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy 17. Masters or Ph.D. Degree in a quantitative field 18. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research) 19. 10+ years of experience doing complex quantitative analysis in product analytics **Public Compensation:** $210,000/year to $281,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

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

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. As part of the Privacy Science team within Privacy Hub you will play a crucial role in ensuring that privacy of patients is safeguarded in the modern world of data sharing. As well as working on real data, you will be involved in exciting research to keep us as industry leaders in this area, and stimulating discussions on re-identification risk. You will be supported in developing/consolidating data analysis and coding skills to become proficient in the analysis of large health-related datasets. **You Will:** + Critically analyze large health datasets using standard and bespoke software libraries + Discuss your findings and progress with internal and external stakeholders + Produce high quality reports which summarise your findings + Contribute to research activities as we explore novel and established sources of re-identification risk **What You Will Bring to the Table:** + Excellent communication skills. Meticulous attention to detail in the production of comprehensive, well-presented reports + A good understanding of statistical probability distributions, bias, error and power as well as sampling and resampling methods + Seeks to understand real-world data in context rather than consider it in abstraction. + Familiarity or proficiency with programmable data analysis software R or Python, and the desire to develop expertise in its language + Application of scientific methods to practical problems through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions + Strong time management skills and demonstrable experience of prioritising work to meet tight deadlines + Initiative and ability to independently explore and research novel topics and concepts as they arise, to expand Privacy Hub's knowledge base + An appreciation of the need for effective methods in data privacy and security, and an awareness of the relevant legislation + Familiarity with Amazon Web Services cloud-based storage and computing facilities **Bonus Points If You Have:** + Experience creating documents using LATEX + Detailed knowledge of one or more types of health information, e.g., genomics, disease, health images + Experience working with or supporting public sector organizations, such as federal agencies (e.g., CMS, NIH, VA, CDC), state health departments, or public health research partners. Familiarity with government data environments, procurement processes, or privacy frameworks in regulated settings is highly valued. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $104,000-$130,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .

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.

As a Principal Data Scientist you will lead the development and deployment of advanced analytical models that drive strategic business decisions. This role requires expertise in machine learning, statistical analysis, and coding to design scalable solutions addressing complex business challenges. The position involves collaborating across functions to translate data insights into actionable strategies, mentoring team members, and ensuring high-quality data sourcing and validation. The ideal candidate will apply innovative techniques to enhance data-driven decision-making and contribute to Walmart's continued growth and operational excellence. Key Responsibilities: Develop and implement advanced machine learning models to address complex business challenges and drive data-informed decisions. Lead exploratory data analysis, feature engineering, and statistical modeling to extract actionable insights from data sources. Collaborate with cross-functional teams to translate business requirements into scalable data science solutions aligned with strategic objectives. Oversee model validation, tuning, deployment, and lifecycle management to ensure accuracy, robustness, and sustainability. Mentor and guide team members on analytical techniques, coding best practices, and data visualization to enhance overall team capability. Communicate findings effectively to stakeholders, supporting data-driven decision-making and continuous improvement initiatives. 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 Extensive experience in developing and deploying machine learning models using Python and related frameworks. Proficiency in advanced statistical analysis and data visualization techniques to derive actionable business insights. Strong knowledge of data sourcing, quality assessment, and management within complex business environments. Expertise in model validation, tuning, and lifecycle management to ensure robust and scalable solutions. Ability to translate business requirements into technical strategies and lead cross-functional teams effectively. Familiarity with cloud platforms such as AWS SageMaker for scalable model development and deployment. Demonstrated leadership in mentoring associates and driving continuous improvement in data science practices.

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 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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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.

Objective of the Job: This position focuses on problem solving by implementing actionable data-driven business solutions, predict emerging trends, providing recommendations to stakeholders by analyzing and modelling a vast variety of data. Duties and Responsibilities: 1) Upholds a high integrity for BRS Systems while supporting Safety, Environmental & Quality Systems 2) Identify business use cases in consultation business stake holders, peers and superiors. 3) Analyze data requirements, create models and provide solutions (combination of ML and Analytics) 4) Document the processes and mentor others in the team. 5) Participate in setting up an analytics platform for Self Service Analytics. Qualifications: 1) Bachelor's degree in computer science or engineering or related field; master's degree preferred. 2) Must have minimum 2 years of experience in Analytics and use of Machine Learning Algorithms. 3) Demonstrated ability in Visualization tools, ML Frameworks, and other related topics. 4) Entrepreneurial drive, with demonstrated ability to deliver projects on time 5) Strong aptitude for learning new technologies and analytics techniques Working Conditions and Physical Requirements: This position requires the ability to work on site or remote from the states of Arkansas, Tennessee, Texas , or Mississippi with occasional on-site visit as needed. Supervisory Responsibility: This position does not supervise others - the scope of the role may change as time progresses and organization grows.

This role helps support Lockton's goal of providing clear, actionable insights for our clients. These insights are used to facilitate informed decision-making and deliver improved outcomes. The role is responsible for creating tailored solutions for individual clients as well as enhancing the Analytics group's brand, workflows, and capabilities. Job Responsibilities: * Collaborate with internal and external stakeholders to understand needs, identify opportunities, and develop strategic solutions to clients' Property and Casualty challenges * Work with various tools (Excel, VBA, Power BI, R, Python, SQL, etc.) to create sophisticated and scalable analytic tools and processes * Leverage Lockton's data to answer ad hoc questions for internal and external audiences * Create materials and trainings to enhance internal understanding of Analytics' capabilities and contribute to white papers / research articles to advance Lockton Analytics' brand in the market * Remain informed on industry developments and effectively communicate the implications both internally and externally * Work with analysts and other stakeholders to identify new or improved analytic solutions that solve business needs * Communicate and explain complex analytic concepts to clients and internal associates * Work with developers to embed actuarial methodologies in new proprietary Lockton applications * Compile, analyze, interpret, and present data trends to guide decision-making * Prepare a variety of analytic outputs based on client or prospect data, including loss projection and stratification, collateral analysis, simulation models, predictive models, claim dashboards, and other ad hoc reports

**_What Data Science contributes to Cardinal Health_** The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we are pushing the boundaries of healthcare with cutting-edge Data Science and Artificial Intelligence (AI). Our mission is to leverage the power of data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the overall healthcare experience. We are seeking a highly motivated and experienced Senior Data Scientist to join our team as a thought leader and architect of our AI strategy. You will play a critical role in fulfilling our vision through delivery of impactful solutions that drive real-world change. **_Responsibilities_** + Lead the Development of Innovative AI solutions: Be responsible for designing, implementing, and scaling sophisticated AI solutions that address key business challenges within the healthcare industry by leveraging your expertise in areas such as Machine Learning, Generative AI, and RAG Technologies. + Develop advanced ML models for forecasting, classification, risk prediction, and other critical applications. + Explore and leverage the latest Generative AI (GenAI) technologies, including Large Language Models (LLMs), for applications like summarization, generation, classification and extraction. + Build robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with vast repositories of healthcare and business data, ensuring accurate and relevant outputs. + Shape Our AI Strategy: Work closely with key stakeholders across the organization to understand their needs and translate them into actionable AI-driven or AI-powered solutions. + Act as a champion for AI within Cardinal Health, influencing the direction of our technology roadmap and ensuring alignment with our overall business objectives. + Guide and mentor a team of Data Scientists and ML Engineers by providing technical guidance, mentorship, and support to a team of skilled and geographically distributed data scientists, while fostering a collaborative and innovative environment that encourages continuous learning and growth. + Embrace a AI-Driven Culture: foster a culture of data-driven decision-making, promoting the use of AI insights to drive business outcomes and improve customer experience and patient care. **_Qualifications_** + 8-12 years of experience with a minimum of 4 years of experience in data science, with a strong track record of success in developing and deploying complex AI/ML solutions, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases, along with evaluating retrievals from RAGs and GenAI models without ground truth + Experience working with building production ready Generative AI Applications involving RAGs, LLM, vector databases and embeddings model. + Extensive knowledge of healthcare data, including clinical data, patient demographics, and claims data. Understanding of HIPAA and other relevant regulations, preferred. + Experience working with cloud platforms like Google Cloud Platform (GCP) for data processing, model training, evaluation, monitoring, deployment and support preferred. + Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences preferred. + Proficiency in Python, statistical programming languages, machine learning libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools preferred. + Experience in Cloud Functions, VertexAI, MLFlow, Storage Buckets, IAM Principles and Service Accounts preferred. + Experience in building end-to-end ML pipelines, from data ingestion and feature engineering to model training, deployment, and scaling preferred. + Experience in building and implementing CI/CD pipelines for ML models and other solutions, ensuring seamless integration and deployment in production environments preferred. + Familiarity with RESTful API design and implementation, including building robust APIs to integrate your ML models and GenAI solutions with existing systems preferred. + Working understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with an emphasis on ML/GenAI implementations preferred. + Experience working in Agile development environments, including Scrum or Kanban, and a strong understanding of Agile principles and practices preferred. + Familiarity with DevSecOps principles and practices, incorporating coding standards and security considerations into all stages of the development lifecycle 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:** $121,600 - $173,700 **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:** 11/05/2025 *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. _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 (***************************************************************************************************************************

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

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.

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

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.