Data scientist jobs in Springfield, MO

We are seeking an experienced Lead Manufacturing Engineer (Level 5) to join our Statistical Process Control (SPC) & Data Analytics team. The ideal candidate will be highly skilled in data analytics, Power BI dashboard development, and Power Apps creation to support manufacturing optimization and automation. This role requires strong expertise in data mining, linking datasets in Power BI, and designing analytical tools that enhance decision-making and operational efficiency. Key Responsibilities Lead the creation, development, and deployment of advanced Power BI dashboards to deliver actionable insights. Design, develop, and implement Power Applications to streamline and automate manufacturing workflows. Execute data mining and establish automated data relationships in Power BI to support reporting and process optimization. Utilize Statistical Process Control (SPC) methods for monitoring and improving manufacturing processes. Partner with cross-functional teams to identify data analytics needs and deliver effective solutions. Maintain detailed documentation of analytics tools, processes, and best practices. Mentor junior engineers in data analytics, Power BI, and Power Apps development. Present technical findings to both technical and non-technical stakeholders clearly and effectively. Lead complex projects with minimal supervision. Required Qualifications Bachelor's degree in Mechanical Engineering, Electrical Engineering, Software Engineering, Computer Science, or a related field. Minimum 9 years of experience in Manufacturing Engineering or a related technical area. Proven experience in data analytics and Power BI dashboard development. Expertise in Power Applications design and deployment. Strong skills in data mining and building automated data relationships in Power BI. Extensive experience with SPC methodologies. Excellent analytical, problem-solving, and communication skills. Proficiency with MS Office tools (Excel, PowerPoint, Word). Ability to work independently and lead large-scale, complex projects. Demonstrated experience in mentoring and guiding junior engineers. Desired Qualifications Master's degree in Engineering or Computer Science. Knowledge of Snowflake or other database management systems. Familiarity with Lean Manufacturing and Six Sigma methodologies. Experience with additional analytics tools such as Minitab, JMP, or Inductive Automation platforms.

We are seeking an experienced Data Engineer, the ideal candidate should have experience with data engineering tools and technologies, especially in Hadoop environments. Client's data ecosystem is built on an on-premise Hadoop system, and they're transitioning some data to the cloud to support external systems and enhance data sharing. Here are some of the specific details: Job Title: Data Engineer Job Duration: 12 months Job Location: O'Fallon, MO (3 days onsite). REQUIRED SKILLS: 8 years of experience in Data Engineering. Deep experience with Hadoop-based data ecosystems (on-premise). Hands-on experience with Spark, Python, and SQL. Experience with ETL tools such as Alteryx, NiFi, and SSIS. Familiarity with cloud platforms like AWS and Azure, especially for hybrid cloud/on-premise data ecosystems. A reasonable, good faith estimate of the minimum and maximum for this position is $65/hr to $75/hr on w2.

Data Analysis: Conduct in-depth data analysis to identify trends, patterns, and anomalies in data sets. Provide actionable insights to stakeholders. Data Profiling: Perform data profiling to assess data quality and integrity. Develop and implement strategies to improve data quality based on profiling results. SQL Proficiency: Utilize advanced SQL skills to write complex queries for data extraction, manipulation, profiling and analysis. Data Governance: Collaborate with data governance teams to establish and enforce data standards and policies. Ensure compliance with data governance frameworks. Documentation: Create and maintain comprehensive documentation for data processes, data lineage, and data quality metrics. Collaboration: Work closely with cross-functional teams, data engineers, and business stakeholders, to understand data needs and deliver solutions. Training and Mentorship: Provide training and mentorship to junior data stewards on data management best practices and tools. Continuous Improvement: Identify opportunities for process improvements in data management and stewardship practices. Implement best practices for data quality and governance. Education: Bachelor's degree in Data Science, Computer Science, Information Systems, Data Analytics or Engineering Team Player: Ability to work collaboratively in a fast-paced environment and manage multiple priorities. Job Qualifications Minimum of 5 years of experience in data stewardship, data analysis, or a related role. Advanced or intermediate SQL skills with experience in writing complex queries. Familiarity with programming languages such as Python or R for data manipulation and analysis. Familiarity with data profiling tools and techniques. Experience with data visualization tools (e.g., Tableau, Power BI) is a plus. Analytical Skills: Strong analytical and problem-solving skills with a keen attention to detail. EEO and ADA Statement must be included at the bottom of each Job Posting: Consulting Solutions and its family of companies is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. If you are a person with a disability needing assistance with the application or at any point in the hiring process, please contact us at: ********************************

Join Telesis7 as an Billing Analyst with experience with CSG or ICOMS for one of our premier clients. ***MUST BE LOCAL TO ST LOUIS, MO TO START*** THIS ROLE IS IN ST LOUIS. NOT OPEN TO REMOTE WORK. MUST BE LOCAL TO ST LOUIS NOTE - this is 4 Days per week in office in one of the above locations; we are unable to provide sponsorship and are unable to work with third parties or C2C. Please apply to this posting and do not contact directly via email. Responsible for providing technical support and assisting in developing and implementing related to 3rd party billing systems used by this company. Analyze systems for ongoing performance improvements at user and system levels. May perform software testing, documentation and provide training. 2 - 4 years of experience. Must have experience: CSG or ICOMS (at least one year experience) SQL query writing Auditing data Excel

Cloud Data Engineering (Production Support) St Louis, MO(Hybrid) Contract Local consultants will be considerded Only on w2(USC or GC) Core Responsibilities Production support for Databricks notebooks, Spark streaming apps, and APIs. Ownership of Level 1 / Bronze batch ingestion for ~60 data sources. Work includes: Data ingestion from various relational DBs or AWS → Delta Lake. Adding new tables/columns, change management, GDPR/purge processes. Product optimization: upgrades, resiliency work, performance improvements. Occasional new development for shared-service tools, not business-facing projects. Required Technical Skills Python (must have) Spark fundamentals (architecture, DataFrames, Spark SQL) Databricks experience Relational DB experience (Oracle, SQL Server, Postgres; not a DBA) Understanding of Delta Lake Nice-to-Haves: Spark streaming API development experience Azure experience preferred; AWS acceptable Scala not required

Heartland Companies, founded in 1997, offers personable, reliable, and flexible services to clients. The company also oversees several other internal brands, including Heartland Barge, Heartland Fabrication, and Heartland Commercial Real Estate, each providing unique services. Heartland Barge focuses on barge management and marine consulting, while Heartland Fabrication specializes in barge construction and Heartland Commercial Real Estate. GENERAL PURPOSE OF JOB The Financial/Data Analyst position reports to the Senior Analyst and works collaboratively with company C-Suites, Vice Presidents, and other employees of the Heartland Companies. The position is responsible for collecting, analyzing and summarizing relevant financial data for senior management in order for them to be able to make effective and profitable decisions. This position will be involved with all phases of data analytics, financial analysis, and the portfolio management process. Additionally, this position is also responsible for gathering, maintaining, organizing and summarizing relevant financial data, financial statements for existing portfolio business and investments. JOB CLASSIFICATION This is an exempt position. ESSENTIAL JOB DUTIES AND RESPONSIBILITIES Work with internal and external stakeholders to understand value drivers and data requirements from the business and end users perspective Produce and maintain various financial models and management reports as needed. Provide status of financial condition by collecting, interpreting, and reporting financial data. Assist with various administrative and supervisory functions as directed. Prepare special reports by collecting, analyzing, and summarizing information and trends. Protect operations by keeping financial information and plans confidential. Prepare reports that summarize and forecast company business activity and financial position in areas of income, expenses, earnings, and financial ratios based on past, present, and expected operations. Support business initiatives through data analysis. Perform detailed analysis on multiple projects, recommend potential business solutions, and ensure successful implementations. Identify ways to enhance performance management and operational reports related to new business implementation processes. Develop, share, and incorporate organizational best practices into business applications. Serve as the subject matter expert on the assigned function product to ensure operational performance. Maintain professional and technical knowledge by attending educational workshops, reviewing professional publications, establishing personal networks, and participating in professional societies. Travel as required to meet, form and maintain relationships with Heartland's senior management, prospective partners/investors, banks, and other select business relationships. Basic Qualifications · Bachelor's degree in Finance, Accounting, Business Administration, or a related field · Minimum 3 years' experience in financial and/or data analysis activities · Advanced Excel skills required Preferred Skills/Experience · Experience with operating and extracting data from ERP systems · Experience with AI tools / applications · Strong work ethic with well-developed interpersonal skills · Strong verbal and written communication skills · Strategic thinker and proficient in decision making · Ability to work collaboratively with senior management · Experience in managing multiple initiatives with limited supervision · Ability to self-manage to meet strict deadlines · Strong understanding of financial metrics, measures, and theory · Advanced certifications or degrees strongly preferred

Data Engineering Lead/Architect Contract-to-Hire Banking Experience is highly preferred Ideal Candidate: Experienced in a banking data modernization effort previously and can help lead/mentor the data engineering team. This individual needs to have a good solutioning/creative mindset and be willing to speak up. Data Engineering Lead/Solution Architect The ideal candidate will have a deep understanding of Microsoft data services, including Azure Fabric, Azure Data Factory (ADF), Azure Synapse, and ETL/ELT processes. This role focuses on designing, developing, and maintaining cloud-based data pipelines and solutions to drive our analytics and business intelligence capabilities. Key Responsibilities: Provide technical leadership in modernizing legacy data ingestion, ETL/ELT, and databases to cloud technologies (AWS/Azure). Demonstrate a self-driven, ownership mindset to navigate ambiguity, resolve constraints, and mitigate risks with minimal supervision. Implement data access, classification, and security patterns that comply with regulatory standards (PII, locational data, contractual obligations, etc.). Build strong relationships with technical teams through effective communication, presentation, and collaboration skills. Collaborate with stakeholders, business analysts, and SMEs to translate business requirements into scalable solutions. Integrate data from multiple sources into cloud-based architectures, collaborating with cross-functional teams. Work closely with data scientists, analysts, and stakeholders to meet data requirements with high-quality solutions. Function within a matrixed team environment, sharing responsibilities across various teams. Perform data profiling and analysis on both structured and unstructured data. Design and map ETL/ELT pipelines for new or modified data streams, ensuring integration into on-prem or cloud-based data storage. Automate, validate and maintain ETL/ELT processes using technologies such as Databricks, ADF, SSIS, Spark, Python, and Scala. Proactively identify design, scope, or development issues and provide recommendations for improvement. Conduct unit, system, and integration testing for ETL/ELT solutions, ensuring defects are resolved. Create detailed documentation for data processes, architectures, and workflows. Monitor and optimize the performance of data pipelines and databases. Required Skills and Qualifications: experience in designing and implementing data warehouse and analytics solutions (on-premise and cloud). expertise in data warehousing concepts (ETL/ELT, data quality management, privacy/security, MDM) with hands-on experience using ADF, Data Factory, SSIS, and related tools. experience with cloud data and cloud-native data lakes/warehouses. Microsoft Azure services (Fabric Lakehouse, ADF, Data Factory, Synapse, etc.). experience in Python, Scala, or Java for use with distributed processing and analytics, such as Spark. Familiarity with CI/CD practices and tools such as Azure DevOps, Git, or Jenkins. Soft Skills: Proven ability to mentor team members and guide best practices for data engineering. Strong problem-solving skills with high attention to detail. Excellent communication skills for effective collaboration with diverse teams. Nice to Have: Experience with Snowflake, Databricks, AWS Experience with containerization, microservices, streaming, and event-sourcing architecture patterns. Knowledge of Kafka, Eventstream, architectures. Experience with Microsoft Purview Previous experience in the financial or banking sector. Familiarity with machine learning concepts and frameworks. Experience with reporting tools such as Power BI or Tableau. Education: Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).

This Data Science/ML Engineer role will support world-wide software engineering teams in their efforts to properly and accurately forecast resource requirements for software delivery of programs. Apply (by clicking the relevant button) after checking through all the related job information below. You will interface with representatives from all software domains to understand the key technologies that drive complexity when developing software, gather and analyze past software development effort data, and create an AI model based on xevrcyc a suitable machine learning framework that will automatically generate resource requirement forecasts, based on the supplied program parameters.

Description & Requirements We now have an exciting opportunity for a Principal Data Scientist to join the Maximus AI Accelerator supporting both the enterprise and our clients. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team. You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes. This position will be focused on strategic company-wide initiatives but will also play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.) This position requires occasional travel to the DC area for client meetings. Essential Duties and Responsibilities: - Make deep dives into the data, pulling out objective insights for business leaders. - Initiate, craft, and lead advanced analyses of operational data. - Provide a strong voice for the importance of data-driven decision making. - Provide expertise to others in data wrangling and analysis. - Convert complex data into visually appealing presentations. - Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners. - Understand the importance of automation and look to implement and initiate automated solutions where appropriate. - Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects. - Utilize various languages for scripting and write SQL queries. Serve as the primary point of contact for data and analytical usage across multiple projects. - Guide operational partners on product performance and solution improvement/maturity options. - Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization. - Learn new skills in advanced analytics/AI/ML tools, techniques, and languages. - Mentor more junior data analysts/data scientists as needed. - Apply strategic approach to lead projects from start to finish; Job-Specific Minimum Requirements: - Develop, collaborate, and advance the applied and responsible use of AI, ML and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation. - Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital. - Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning. - Contribute to the development of mathematically rigorous process improvement procedures. - Maintain current knowledge and evaluation of the AI technology landscape and emerging. developments and their applicability for use in production/operational environments. Minimum Requirements - Bachelor's degree in related field required. - 10-12 years of relevant professional experience required. Job-Specific Minimum Requirements: - 10+ years of relevant Software Development + AI / ML / DS experience. - Professional Programming experience (e.g. Python, R, etc.). - Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML. - Experience with API programming. - Experience with Linux. - Experience with Statistics. - Experience with Classical Machine Learning. - Experience working as a contributor on a team. Preferred Skills and Qualifications: - Masters or BS in quantitative discipline (e.g. Math, Physics, Engineering, Economics, Computer Science, etc.). - Experience developing machine learning or signal processing algorithms: - Ability to leverage mathematical principles to model new and novel behaviors. - Ability to leverage statistics to identify true signals from noise or clutter. - Experience working as an individual contributor in AI. - Use of state-of-the-art technology to solve operational problems in AI and Machine Learning. - Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles. - Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions. - Ability to build reference implementations of operational AI & Advanced Analytics processing solutions. Background Investigations: - IRS MBI - Eligibility #techjobs #VeteransPage EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at **************************. Minimum Salary $ 156,740.00 Maximum Salary $ 234,960.00

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

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 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.

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

**_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 (***************************************************************************************************************************

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.

**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.

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.

Would you like to be a part of a company with a passion for helping people? As a leading financial services company focused on meeting the evolving need of public K-12 teachers, Horace Mann has a number of exciting positions available right now including the Actuarial Analyst II. This auto pricing role will perform rate reviews and ad hoc analysis to determine the appropriate rates to be charged. Define small special project scope, generate results and present with recommendations. Significant responsibility for large project data organization and analysis. Perform analysis of financial, market, and industry data using both internal and external data. Conduct discussions with and compile information from various departments and incorporate the information into the process. Research and respond to questions from regulators, rating agencies, external auditors, and internal business stakeholders, including field personnel and internal audit. Assist in special projects. Job Requirements: Bachelors degree in Actuarial Science, Mathematics, Economics or Business related degree A minimum of 2-4 exams 3+ years' experience Pay Range: $71,500.00 - $105,400.00 Salary is commensurate to experience, location, etc. #LI-NW1 Horace Mann was founded in 1945 by two Springfield, Illinois, teachers who saw a need for quality, affordable auto insurance for teachers. Since then, we've broadened our mission to helping all educators protect what they have today and prepare for a successful tomorrow. And with our broadened mission has come corporate growth: We serve more than 4,100 school districts nationwide, we're publicly traded on the New York Stock Exchange (symbol: HMN) and we have more than $12 billion in assets. We're motivated by the fact that educators take care of our children's future, and we believe they deserve someone to look after theirs. We help educators identify their financial goals and develop plans to achieve them. This includes insurance to protect what they have today and financial products to help them prepare for their future. Our tailored offerings include special rates and benefits for educators. EOE/Minorities/Females/Veterans/Disabled. 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 For applicants that are California residents, please review our California Consumer Privacy Notice All applicants should review our Horace Mann Privacy Policy