Senior data scientist jobs in Kansas - 82 jobs

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@meta.com.

Value-Based Care (VBC) Analytics is an independent organization covering the Baylor Scott & White Health Plan (Payer) and Baylor Scott & White Quality Alliance (Accountable Care Organization) analytical and data science needs. We are seeking a customer-facing Healthcare Data Scientist who works closely with key business stakeholders within the value-based care team, to develop use cases related to difficult to solve and complex business challenges. The ideal candidate will work on creating machine learning models using appropriate techniques to derive predictive insights that enable stakeholders to glean insights and enable actions to improve business outcomes. **_The pay range for this position is $47.05/hour (entry level qualifications) - $72.93/hour (highly experienced). The specific rate will depend upon the successful candidate's specific qualifications and prior experience._** **ESSENTIAL FUNCTIONS OF THE ROLE** + Communication and Consulting: Summarize and effectively communicate complex data science concepts to inform stakeholders, gain approval, or prompt action from non-technical audience from data-driven recommendations. + Applied Machine Learning: Implement machine learning solutions within production environments at scale. Apply appropriate machine learning techniques that directly impact HEDIS/Stars initiatives + Data Collection and Optimization: Collect and analyze data from a variety of SQL environments (Snowflake, SQL Server) and other data sources, including vendor derived data, electronic health records, and claims data. + Analyze Healthcare Data: Conduct detailed analyses on complex healthcare datasets to identify trends within HEDIS/Stars and utilization, patterns, and insights that support value-based care initiatives, particularly in quality, adherence to standards of care. + Stay Informed: Stay up to date on the latest advancements in data science and healthcare analytics to continuously improve our methodologies and tools. **KEY SUCCESS FACTORS** The ideal candidate will have some of the following skills and an eagerness to learn the rest. + Healthcare Knowledge: Understanding and prior experience in handling data pertaining to HEDIS, Stars measures and Regulatory specifications. Experience in admin claims data sources such as medical/pharmacy claims, social determinants of health (SDOH) and electronic health records is also required. + Education: Bachelor's or advanced degree in mathematics, statistics, data science, Public Health or another quantitative field. + Effective Communication: Experienced in communicating findings and recommendations directly to Executive-level customers and healthcare professionals. + Analytics Skills: Academic or professional experience conducting analytics and experimentation using algorithms associated with advanced analytics topics, including binary classification algorithms, regression algorithms, Neural Network frameworks, Natural Language Processing, etc. + Technical Skills: Proficiency in common language / tools for AI/ML such as Python, PySpark. Understanding of software engineering topics, including version control, CI/CD, and unit tests. + Problem Solving: A passion for solving puzzles and digging into data. + Technology Stack: Familiarity with deploying data science products at scale in a cloud environment such as Snowflake, Databricks or Azure AI/ML Studio. **BENEFITS** Our competitive benefits package includes the following + · Immediate eligibility for health and welfare benefits + · 401(k) savings plan with dollar-for-dollar match up to 5% + · Tuition Reimbursement + · PTO accrual beginning Day 1 Note: Benefits may vary based upon position type and/or level **QUALIFICATIONS** - EDUCATION - Masters' or Bachelors plus 2 years of work experience above the minimum qualification - EXPERIENCE - 3 Years of Experience As a health care system committed to improving the health of those we serve, we are asking our employees to model the same behaviours that we promote to our patients. As of January 1, 2012, Baylor Scott & White Health no longer hires individuals who use nicotine products. We are an equal opportunity employer committed to ensuring a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Benefits 401k with Matching Up To 3%, Over a 3 Year Vesting Period Medical Dental - 100% Base Rate Paid by the Firm Vision - 100% Base Rate Paid by the Firm Life Insurance Long- and Short-Term Disability PTO Job Purpose The Business Data Scientist is a key part that helps to improve the efficiency and effectiveness of the Firm. The position is responsible for the ongoing analysis of Firm workflow, task and financial data, obtained from a variety of different sources. This involves development and preparation of information, reconciliations and reports for departments and management. Job Duties & Responsibilities Subject matter expert for the Case Management data system Build and maintain Key Performance Indicators (KPI's), dashboards, reports, and data related products in a supportable and extensive way using organizationally accepted tools and methods Identify patterns and trends in data sets to support process improvement efforts to maintain or meet Firm goals or opportunities Analyze results of data reports for anomalies, accuracy, and applicability to work with department leaders, BPM and QA teams for discussion Provides reporting and support as needed for data intensive projects throughout implementation Responsible for monitoring progress and maintaining reporting to ensure post go-live adherence to expectations Review & analyze data to answer financial & technical questions Qualifications Minimum of 3 years of experience in data or business analysis Minimum of 3 years of experience with Microsoft SQL, Excel, and Power BI Ability to express complex analytical concepts effectively, both verbally and written Proven analytics skills, including mining, evaluation, analysis, and visualization. Demonstrated ability to analyze data in a variety of formats and to provide recommendations and support in establishing expectations Demonstrated effectiveness in working with multi-functional teams in a technical production workflow environment Superior attention to detail to synthesize data from multiple sources Ability to multitask without sacrificing the quality and accuracy of the analytical data captured. Eligible to work in the United States Working Conditions This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets, and fax machines. Physical Requirements The ability to work in an office environment, in front of a computer, while typing documents, responding to emails, managing calendars and answering phones. Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at times with or without notice. SouthLaw, P.C. is an equal opportunity employer and does not discriminate against otherwise qualified applicants on the basis of race, color, creed, religion, ancestry, age, sex, marital status, national origin, disability or handicap, veteran status, or any other characteristic protected by law.

**Remote: This role is based remotely but if you live within a 50-mile radius of [Austin, Detroit, Milford or Mountain View], you are expected to report to that location three times a week, at minimum.** **The Role** The Senior Data Scientist is an internal expert in methodology and leads audience activation modeling efforts, translating complex customer data into actionable marketing strategies and personalized customer experiences through machine learning modeling. This individual possesses deep technical expertise in statistics and machine learning, with a strong focus on their application in marketing targeting. This individual will collaborate closely with stakeholders from GM's vehicle brands and the Performance Driven Marketing team to ensure business acceptance of proposed methods, conduct objective performance evaluations, and optimize audience activation to drive sales. You will be responsible for developing advanced marketing models, extracting valuable insights, and creating scalable solutions that identify high-return investment opportunities at the channel and tactic levels. Our team is focused on delivering forward-thinking, consumer-centric, and prescriptive solutions that enable GM to remain proactive and agile as we transition to electric vehicles (EVs). **What You'll Do** As a Senior Data Scientist will be responsible for: + Work on a cross-functional team to propose and implement high-impact, data-driven solutions to address business challenges across a variety of business units + Apply advanced data-driven modeling techniques to inform decision making and solve complex business problems + Create breakthrough solutions, performing exploratory and targeted data analyses + Undertake preprocessing of structured and unstructured data + Monitor and sustain model effectiveness + Present complex information using data visualization techniques + Work with diverse technical teams and provide data and analytical oversight to ensure project deliverables fulfill business needs and timing + Identifylong-term technical innovations while continuously improving execution efficiency + Possessing contextual business knowledge and functional domainexpertisein theadvertising and media space,showing a proven ability of using data, analytics, and insights to add revenue and business-impacting value in thisvia audience selection and behavioral engagement + Exhibiting a perspective of constrained curiosity, asking why, and suggesting experimentation to drive incremental impact + Exhibiting the ability to tell asuccinct, data-driven story in any forum and tailor delivery to a wide range of stakeholder levels, fromanalystto seniorexecutive + Ensuring a superior level of delivery quality at all levels of their organization through the creation of internal structures and extensible frameworks to manage accountability and develop staff **Your Skills & Abilities (Required Qualifications)** + 5+ years of experience as a Data Scientist or in a related role, developing, deploying, and monitoring performance of large analytic data sets and machine learning based models + Deep knowledge of Machine Learning and Statistics. Familiarity with Deep Learning algorithms is a plus + Proficient in writing scalable code using Python and SQL/Spark, with experience working with Spark/ML, scikit-learn, NumPy, Pandas, StatsModels, PyMC, TensorFlow, PyTorch, and related package + Experience with cloud compute platforms such as Azure with Databricks experience being especially valuable + Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality **What Can Give You a Competitive Advantage (Preferred Qualifications)** + Desired expertise in marketing analytics and advanced methods such as: customer lifetime value, consumer choice (multinomial logit), time-series forecasting, hierarchical bayes, panel-data methods (fixed/random effects), censored/truncated regressions, selection models, non-random treatment effects, hazard /survival models, structural equation modeling, item response theory, latent class regression, media mix modeling (MMM), multi-touch attribution (MTA) + Prior experience with paid, earned, and owned media **Compensation:** + The expected base compensation for this role is: $129,400 - $212,300. Actual base compensation within the identified range will vary based on factors relevant to the position. + Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. + Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.) \#LI-CC1 **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. **Benefits Overview** From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (************************************************************* . **Non-Discrimination and Equal Employment Opportunities (U.S.)** General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (********************************************* . **Accommodations** General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations (******************************************** We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (*********************************************** . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest. The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

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 (**************************************** .

Description & Requirements Maximus has 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 is a remote position. 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 Essential Duties and Responsibilities: - Develop, collaborate, and advance the applied and responsible use of AI, ML, simulation, 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. - 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 (required skills that align with contract LCAT, verifiable, and measurable): - 10+ years of relevant Software Development + AI / ML / DS experience - Professional Programming experience (e.g. Python, R, etc.) - Experience with AI / Machine Learning - Experience working as a contributor on a team - Experience leading AI/DS/or Analytics teams - Experience mentoring Junior Staff - Experience with Modeling and Simulation - Experience with program management Preferred Skills and Qualifications: - Masters in quantitative discipline (Math, Operations Research, 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 or modeling and simulation - Use of state-of-the-art technology to solve operational problems in AI, Machine Learning, or Modeling and Simulation spheres - 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 - Use and development of program automation, CI/CD, DevSecOps, and Agile - Experience managing technical teams delivering technical solutions for clients. - Experience working with optimization problems like scheduling - Experience with Data Analytics and Visualizations - Cloud certifications (AWS, Azure, or GCP) - 10+ yrs of related experience in AI, advanced analytics, computer science, or software development #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 $ 156,640.00 Maximum Salary $ 234,960.00

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

Job DescriptionSalary: Candidates should live within driving distance of the following areas: Wichita, KS; Lawton, OK; or Round Rock, TX. Job Purpose/Summary Work with our team of engineers, scientists and human factors professionals to develop machine learning and other algorithmic data capabilities for applications in cybersecurity, space, and telecommunications. This individual contributor role will involve hands-on work developing solutions to real-world problems using neural networks and other algorithms. Developed solutions are actively being productionized to support ongoing space operations and other crucial infrastructure and security needs. Duties and Responsibilities Develop and evaluate machine learning solutions to interdisciplinary problems in cybersecurity and telecommunications, working with structured (time series, tabular) and unstructured (text, 3D) data. Collaboratively develop data collection plans, designing experiments to ensure quality and usefulness of data. Work with human factors specialists, and data/full stack engineers to define system requirements, review developed code, and support translating statistical concepts to coworkers. Support documentation of analysis results for semi-technical stakeholders. Occasionally support technical interactions with collaborators, including defining technical requirements for external data collections, and reviewing technical work. Qualifications Minimum: Graduate formal education in natural sciences, mathematics, economics, statistics, psychology, or other quantitative field, or mix of formal education and experience. 2+ years professional experience with an open-source data science stack (e.g., pandas, numpy, pytorch, keras, tensorflow, pymc3). 2+ years professional experience working with real-world, complex datasets. Experience communicating technical results to semi-technical audiences. Preferred: Exposure to a product-driven machine learning organization with deployed customer-facing capabilities. Exposure to a big data environment, including tools for clustered computing (e.g., Spark, Dask, streaming) and large-scale data storage. Experience with RF/telecommunications physics, cybersecurity, or space operations. Experience with software defined radio applications Working conditions n/a Physical requirements n/a Direct reports n/a

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.

WHO ARE WE? Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState. As The Discovery and Conversion Company, our mission is to connect consumers with the world's leading brands through data-driven content and technology. Headquartered in South Florida with a remote-first team spanning over 15 countries, we've built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success. WHY JOIN US? At Launch Potato, you'll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers. BASE SALARY: $150,000 to $190,000 per year MUST HAVE: 5+ years of experience in data engineering within fast-paced, cloud-native environments Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto) Experience building and managing scalable ETL pipelines and data lake infrastructure Familiarity with distributed systems, Spark, and data quality best practices Strong cross-functional collaboration skills to support BI, analytics, and engineering teams EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations. YOUR ROLE Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato's analytics and business intelligence infrastructure fuels strategic growth. OUTCOMES Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows Serve as the internal point of contact for reporting infrastructure-delivering ad hoc data analyses and driving consistent data integrity Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support Contribute to the future of Launch Potato's data team by mentoring peers and shaping a high-performance, quality-first engineering culture COMPETENCIES Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering TOTAL COMPENSATION Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato's Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments. Want to accelerate your career? Apply now! Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Company Details Intrepid Direct Insurance (IDI) is a rapidly growing direct to consumer property and casualty insurance company. A member of the W. R. Berkley Corporation, a fortune 500 company, rated A+ (Superior) by A.M. Best, Intrepid Direct's vision is to make life better for business. The insurance industry has not evolved with innovation like other major industries. We're here to change that. We are making life better for our customers, shareholders, and our team members by leveraging data and technology as insurance experts for our targeted customers. You will be part of a highly collaborative team of talented and focused professionals. Join a group that enjoys working together, trusts each other, and takes pride in our hard-earned success. *************************** The Company is an equal employment opportunity employer. Responsibilities Intrepid Direct Insurance is looking for an experienced Senior Data Engineer to mentor, orchestrate, implement, and monitor the flowing through our organization. This opportunity will have a direct influence on how data is made available to our business units, as well as our customers. You'll primarily be working with our operations and engineering teams to create and enhance data pipelines, conform and enrich data, and deliver information to business users. Learn the ins and outs of what we do so that you can focus on improving availability and quality of the data we use to service our customers. Key functions include but are not limited to: Assist with long-term strategic planning for modern data warehousing needs. Contribute to data modeling exercises and the buildout of our data warehouse. Monitor, support, and analyze existing pipelines and recommend performance and process improvements to address gaps in existing process. Automate manual processes owned by data team. Troubleshoot and remediate ingestion and reporting related issues. Design and build new pipelines to ingest data from additional disparate sources. Responsible for the accuracy and availability of data in our data warehouse. Collaborate with a multi-disciplinary team to develop data-driven solutions that align with our business and technical needs. Create and deploy reports as needed. Assist with cataloging and classifying existing data sets. Participate in peer reviews with emphasis on continuous improvement. Respond to regulatory requests for information. Assumes other tasks and duties as assigned by management. Mentor team members and advise on best practices. Qualifications Bachelor's degree in Mathematics, Statistics, Computer Science, or equivalent experience. 6+ years of relevant data engineering experience. Analytical thinker with experience working in a fast-paced, startup environment. Technical expertise with Microsoft SQL Server. Familiarity with ETL tools and concepts. Hands-on experience with database design and data modeling, preferable experience with Data Vault methodology. Experience supporting and troubleshooting SSIS packages. Experience consuming event-based data through APIs or queues. Experience in Agile software development. Experience with insurance data highly desired. Detail oriented, solid organizational, and problem-solving. Strong written, visual, and verbal communication skills. Team oriented with a strong willingness to serve others in an agile startup environment. Flexible in assuming new responsibilities as they arise. Experience with Power Bi desired. Additional Company Details We do not accept unsolicited resumes from third party recruiting agencies or firms. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Sponsorship Details Sponsorship not Offered for this Role Not ready to apply? Connect with us for general consideration.

Interrelations: Works under the supervision of the Chief Information Officer in collaboration with the district's IT teams Regular contact with Data Analysts, school administrators, and other staff to gather requirements, provide data solutions, and ensure alignment with district objectives Must handle all situations with professionalism, tact, and confidentiality Employee Punctuality and Appearance: Expected to perform assigned duties and work all scheduled hours unless approved leave is granted Any deviation from assigned hours requires prior approval from the immediate supervisor or administrator Required to dress in a manner that reflects a positive image of Wichita Public Schools and is appropriate for a data engineering/architecture leadership role Qualification Profile: Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field required; advanced degree preferred Minimum of 3-5 years of experience in data engineering, data architecture, or comparable roles, preferably in a large organization (public education environment a plus) Hands-on experience with Microsoft Azure data services, SQL Server, and BI solutions Microsoft Certified\: Azure Data Engineer Associate, or similar Azure/SQL certifications preferred FLSA Status: Exempt Job Title: Data Engineer Position Function: The Data Engineer & Architect plays a critical role in designing, building, and maintaining the district's data infrastructure. As the key technical expert bridging the gap between the district's data analysts and leadership, this position ensures that all data pipelines, transformations, and integrations are optimized for reliability, security, and compliance with FERPA/HIPAA. The Data Engineer & Architect will leverage Microsoft-based solutions (e.g., Azure Data Factory, SQL Server, Power BI ecosystem) to drive scalable, automated data workflows that support Wichita Public Schools' strategic vision and shared beliefs. Essential Performance Responsibilities: Data Pipeline Development & Management Design, develop, and maintain ETL/ELT workflows using Microsoft tools (e.g., Azure Data Factory, SSIS) to ingest and transform data from diverse sources (Oracle, on-premises systems, cloud services). Implement data validation, cleansing, and transformation processes to ensure high levels of data quality, accuracy, and consistency. Monitor and troubleshoot data pipelines, proactively addressing bottlenecks or failures to maintain seamless, reliable operations. Data Architecture & Modeling Architect and optimize data structures, including relational (star, snowflake) and dimensional models, within Microsoft SQL Server, Azure Synapse, or similar platforms. Develop and maintain logical and physical data models that align with district needs for analytics, compliance, and reporting. Collaborate with Data Analysts and the Director of Assessment & Research to ensure data structures effectively support key metrics, dashboards, and advanced analytics projects. Data Governance & Compliance Collaborate with the Information Services and Technology personnel to implement best practices for data governance, security, and lifecycle management. Ensure all data engineering processes adhere to FERPA, HIPAA, and district data privacy guidelines. Assist with defining and enforcing data standards, naming conventions, and documentation to enhance consistency and transparency. DataOps & Automation Implement DataOps practices (continuous integration, version control, automated testing) to streamline data development and reduce errors. Manage environments and releases for data pipelines, including dev, test, and production, coordinating with IT and other stakeholders. Introduce best practices around DevOps in Azure, leveraging scripts, templates, and modern deployment strategies. Collaboration & Stakeholder Engagement Work closely with Data Analysts, providing properly structured datasets and ensuring minimal friction in analytics and reporting. Partner with district IT teams and other departments to align architectural decisions with broader technology initiatives. Communicate technical concepts and project updates to non-technical audiences, ensuring clarity and alignment of expectations. Additional Duties: Performs other duties as assigned by the Chief Information Officer or other district leadership in support of Wichita Public Schools' strategic goals and mission. Equipment: This position may require the use of standard office technology such as computers, copiers, and scanners, as well as Microsoft Azure-based tools (e.g., Azure Data Factory, Azure SQL Database). Must always comply with Wichita Public Schools' guidelines for equipment use and data security. Travel: Limited travel between schools and central offices may be required to consult with school-based teams, attend training, or assist with on-site data needs. Physical and Mental Demands: Work in standard office environments Ability to focus on computer-based tasks for extended periods Occasional requirements for lifting or moving technology equipment (generally under 30 pounds) Must be prepared to respond rapidly to system or data-related issues outside of standard work hours Additional demands upon request of supervisor Knowledge, Skills, and Abilities: Technical Expertise\: Advanced knowledge of Microsoft data engineering technologies (Azure Data Factory, Azure Synapse, SQL Server, Power BI, SSIS) Proficiency in scripting languages (e.g., Python, PowerShell) for automation and data manipulation Understanding of DataOps, CI/CD, and version control (Git) Data Modeling\: Strong background in relational and dimensional modeling, including the design of star/snowflake schemas Experience optimizing data storage and retrieval in cloud-based or hybrid environments Collaboration & Communication\: Ability to work effectively with cross-functional teams, including Data Analysts, Data Governance leads, and IT staff Strong written and verbal communication skills to convey complex ideas in accessible language Analytical & Problem-Solving Skills\: Capable of diagnosing and resolving issues quickly in a large-scale, diverse data environment Familiarity with advanced analytics techniques or interest in supporting statistical modeling is a plus Compliance & Security\: Knowledge of FERPA/HIPAA and best practices for data privacy and security Able to integrate security and governance requirements into data pipeline design

The Senior Data Engineer will be responsible for building and maintaining the data infrastructure that powers the organization's data-driven decision-making. Designs, develops, and maintains data pipelines, data warehouses, and other data-related infrastructure. This role expects to work closely with data scientists, analysts, and other stakeholders to understand their data needs and translate them into robust and scalable solutions. Key Responsibilities: Build, maintain, and optimize data pipelines, including ELT processes, data models, reports, and dashboards to drive business insights. Develop and implement data solutions for enterprise data warehouses and business intelligence (BI) initiatives. Continuously monitor and optimize data pipelines for performance, reliability, and cost-effectiveness. This includes identifying bottlenecks, tuning queries, and scaling infrastructure as needed. Automate data ingestion, processing, and validation tasks to ensure data quality and consistency. Implement data governance policies and procedures to ensure data quality, consistency, and compliance with relevant regulations. Contribute to the development of the organization's overall data strategy. Conduct code reviews and contribute to the establishment of coding standards and best practices. Required Qualifications: Bachelor's degree in a relevant field or equivalent professional experience. 4-6 years of hands-on experience in data engineering. Strong expertise in SQL and NoSQL databases, including PostgreSQL, DynamoDB, and MongoDB. Experience working with cloud platforms such as GCP, Azure, or AWS and their associated data services. Practical knowledge of data warehouses like BigQuery, Snowflake, and Redshift. Programming skills in Python or JavaScript. Proficiency with BI tools such as Sisense, Power BI, or Tableau. Preferred Qualifications: Direct experience with Google Cloud Platform (GCP). Knowledge of CI/CD pipelines, including tools like Docker and Terraform. Background in the healthcare industry. Familiarity with modern data integration tools such as DBT, Matillion, and Airbyte. Compensation: $125,000.00 per year Who We Are CARE ITS is a certified Woman-owned and operated minority company (certified as WMBE). At CARE ITS, we are the World Class IT Professionals, helping clients achieve their goals. Care ITS was established in 2010. Since then we have successfully executed several projects with our expert team of professionals with more than 20 years of experience each. We are globally operated with our Head Quarters in Plainsboro, NJ, with focused specialization in Salesforce, Guidewire and AWS. We provide expert solutions to our customers in various business domains.

Lockton Affinity, located in Overland Park, KS is searching for a Data Engingeer. At Lockton Affinity, information technology plays a vital role in delivering exceptional business results. The Data Engineer is a key contributor in advancing the firm's data strategy and analytics ecosystem, transforming raw data into actionable insights that drive business decisions. This role requires a technically strong, curious professional committed to continuous learning and innovation. The ideal candidate combines analytical acumen with data engineering skills to ensure reliable, efficient, and scalable data pipelines and reporting solutions. Lockton values Associates who are proactive, collaborative, and motivated to make a measurable impact. ESSENTIAL DUTIES AND RESPONSIBILITIES Data Engineering & Integration * Design, build, and maintain data pipelines and integrations using Azure Data Factory, SSIS, or equivalent ETL/ELT tools. * Automate data imports, transformations, and loads from multiple sources (on-premise, SaaS, APIs, and cloud). * Optimize and monitor data workflows for reliability, performance, and cost efficiency. * Implement and maintain data quality, validation, and error-handling frameworks. Data Analysis & Reporting * Develop and maintain reporting databases, views, and semantic models for business intelligence solutions. * Design and publish dashboards and visualizations in Power BI and SSRS, ensuring alignment with business KPIs. * Perform ad-hoc data exploration and statistical analysis to support business initiatives. Collaboration & Governance * Partner with stakeholders across marketing, underwriting, operations, and IT to define analytical and data integration requirements. * Maintain data integrity, enforce governance standards, and promote best practices in data stewardship. * Support data security and compliance initiatives in coordination with IT and business teams. Continuous Improvement * Stay current with emerging data technologies and analytics practices. * Recommend tools, processes, or automation improvements to enhance data accessibility and insight delivery.

K0076172 IT Data & Analytics Engineer, Pay Grade - 49 $ 82,299.89 annually OverviewThe Data Systems Engineer is a key technical contributor within the Kansas Judicial Branch's newly established Data, Analytics & AI team. This role supports the development, modernization, and daily operation of the Branch's data environment, including: Modern data platform engineering (Azure, Databricks, ADLS, ADF) Data modeling and ingestion pipelines SQL and database administration (light-to-moderate) Dashboard and analytics enablement Operational support for data processes across the Branch Applied AI and automation initiatives This is a hybrid, cross-disciplinary position-ideal for someone who enjoys learning new technologies, solving complex data problems, and working across infrastructure, application development, security, and business units. This role supports both technical delivery and data governance foundation efforts and will work closely with internal stakeholders and agency leadership to deliver high-impact data solutions that improve judicial operations statewide. This position is expected to work on site at the Kansas Judicial Center. Key Responsibilities Data Engineering & Platform Work (Core) Build, test, and maintain data ingestion pipelines using Azure Data Factory, Databricks, SQL, and Python. Support medallion architecture workflows (Bronze → Silver → Gold) for structured and unstructured data. Assist with configuration and administration of Azure Data Lake Storage, Key Vault, ADF, Databricks, and related services. Maintain metadata tables, pipeline configuration, data quality rules, and automated monitoring scripts. Database & SQL Responsibilities Support and troubleshoot SQL Server environments related to analytics workloads, including stored procedures, ETL queries, schema updates, and performance tuning when needed. Assist with replication-based ingestion processes from legacy case management systems. Monitor extraction processes, troubleshoot data integrity or latency issues, and coordinate fixes. Analytics & Reporting Support Prepare curated datasets for dashboard developers and analysts. Build semantic models, business logic, and KPIs in SQL, Python, or Power BI. Assist with dashboard UAT, quality review, and deployment processes. AI & Automation Enablement Assist the IT Solution Architect in developing, training and supporting AI agents, chatbots, or retrieval workflows on Databricks (training provided). Support vectorization tasks, document processing, or metadata preparation for AI projects. Maintain internal model registry assets and contribute to responsible AI practices. Governance & Process Support Support data quality, metadata, glossary, and classification work in collaboration with business units. Contribute to Service Agreements (SAs), process documentation, SOPs, and governance deliverables. Participate in backlog reviews, sprint planning, and DAOSC working sessions. Cross-Team Collaboration Work with Architecture, Infrastructure, Security, Application, PMO, and eCourt teams to ensure reliable data movement and access. Provide technical assistance to stakeholders, SMEs, and leadership when data issues arise. Help refine intake, triage, documentation, and incident response for data services. Other Duties as Assigned This position will evolve as the Branch matures its data program and adopts new technologies. Required EducationMinimum: High school diploma, GED, or technical program in information technology, computer science, data analytics, or relevant field. Education may be substituted with relevant professional experience. Required ExperienceCandidates should have experience in at least two of the categories below and willingness to learn the others: Data & Platform Engineering Experience with SQL, data modeling, ETL/ELT solutions, or pipeline development. Familiarity with cloud concepts (Azure preferred). Programming / Automation Hands-on experience with one or more: Python, PowerShell, SQL, or similar scripting languages. Analytics Experience preparing datasets or supporting dashboards in tools like Power BI, Tableau, or similar. Experience building KPIs, metrics, or calculations. Database Work Experience with relational databases (SQL Server, Oracle, Postgres, etc.). Knowledge of indexing, querying, and performance tuning fundamentals. Systems / Infrastructure Understanding of identity, networking, storage, or DevOps concepts helpful. Soft Skills Ability to communicate with technical and non-technical staff. Ability to learn new tools and adapt quickly. Ability to work both independently and collaboratively. Preferred Qualifications(Not required - candidates are encouraged to apply even without these.) Experience with Azure Data Factory, Databricks, or cloud analytics platforms. Experience with version control (Git), CI/CD (Azure DevOps), or infrastructure-as-code. Experience with data governance, metadata, data quality, or cataloging. Experience with AI/ML tooling (MLflow, vector search, RAG frameworks). Experience in government, courts, or public-sector data environments. Certifications in Azure data/AI (DP-900, DP-203, AI-900, etc.) or equivalent practical experience. Applications Accepted Until FilledThe Americans with Disabilities Act ensures your right to reasonable accommodations during the employment process. A request for accommodation will not affect your opportunities for employment with the Judicial Branch. If you wish to request an ADA accommodation, please contact [email protected] or by TDD through the Kansas Relay Center at ************ or 711. THE KANSAS JUDICIAL BRANCH IS AN EEO / AA EMPLOYER

At Quest Analytics, our mission is to make healthcare more accessible for all Americans. As part of our team, you'll work in an innovative, collaborative, challenging, and flexible environment that supports your personal growth every day. We are looking for a talented and motivated Senior Data Engineer with experience in building scalable infrastructure, implementing automation, and enabling cross-functional teams with reliable and accessible data. The Senior Data Engineer will help modernize and scale our data environment. This person will play a key role in transforming these workflows into automated, cloud-based pipelines using Azure Data Factory, Databricks, and modern data platforms. If you are looking for a high-impact opportunity to shape how data flows across the business, APPLY TODAY! What you'll do: Identify, design, and implement internal process improvements (e.g., automating manual processes, optimizing data delivery, and re-designing infrastructure for scalability). Transform manual SQL/SSMS/stored procedure workflows into automated pipelines using Azure Data Factory. Write clean, reusable, and efficient code in Python (and optionally C# or Scala). Leverage distributed data tools such as Spark and Databricks for large-scale processing. Review project objectives to determine and implement the most suitable technologies. Apply best practice standards for development, build, and deployment automation. Manage day-to-day operations of the data infrastructure and support engineers and analysts with data investigations. Monitor and report on data pipeline tasks, collaborating with teams to resolve issues quickly. Partner with internal teams to analyze current processes and identify efficiency opportunities. Participate in training and mentoring programs as assigned or required. Uphold Quest Analytics values and contribute to a positive company culture. Respond professionally and promptly to client and internal requests. Perform other duties as assigned. What it requires: Bachelor's Degree in Computer Science or equivalent education/experience. 3-5 years of experience with ETL, data operations, and troubleshooting, preferably in Healthcare data. Strong SQL development skills (SSMS, stored procedures, and optimization). Proficiency in Python, C#, or Scala (experience with pandas and NumPy is a plus). Solid understanding of the Azure ecosystem, especially Azure Data Factory and Azure Data Lake Storage (ADLS). Hands-on experience with Azure Data Factory and ADLS. Familiarity with Spark, Databricks, and data modeling techniques. Experience working with both relational databases (e.g., SQL Server) and NoSQL databases (e.g., MongoDB). Self-motivated, strong problem-solver, and thrives in fast-paced environments. Excellent troubleshooting, listening, and analytical skills. Customer-focused mindset with a collaborative, team-oriented approach. We are not currently engaging with outside agencies on this role.Visa sponsorship is not available at this time. What you'll appreciate:•Workplace flexibility - you choose between remote, hybrid or in-office•Company paid employee medical, dental and vision•Competitive salary and success sharing bonus•Flexible vacation with no cap, plus sick time and holidays•An entrepreneurial culture that won't limit you to a job description•Being listened to, valued, appreciated -- and having your contributions rewarded•Enjoying your work each day with a great group of people Apply TODAY!careers.questanalytics.com About Quest AnalyticsFor more than 20 years, we've been improving provider network management one groundbreaking innovation at a time. 90% of America's health plans use our tools, including the eight largest in the nation. Achieve your personal quest to build a great career here. Visa sponsorship is not available at this time. Preferred work locations are within one of the following states: Alabama, Arizona, Arkansas, Colorado, Connecticut, Delaware, Florida, Georgia, Idaho, Illinois (outside of Chicago proper), Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Mexico, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, West Virginia, Wisconsin, or Wyoming. Quest Analytics provides equal employment opportunities to all people without regard to race, color, religion, sex, national origin, ancestry, marital status, veteran status, age, disability, sexual orientation or gender identity or expression or any other legally protected category. We are committed to creating and maintaining a workforce environment that is free from any form of discriminations or harassment. Applicants must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence ********************* NOTE: Staffing agencies, headhunters, recruiters, and/or placement agencies, please do not contact our hiring managers directly. We are not currently working with additional outside agencies at this time. Any job posting displayed on websites other than questanalytics.com or jobs.lever.co/questanalytics/ may be out of date, inaccurate and unavailable

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

Description & Requirements Maximus has 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 is a remote position. 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 Essential Duties and Responsibilities: - Develop, collaborate, and advance the applied and responsible use of AI, ML, simulation, 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. - 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 (required skills that align with contract LCAT, verifiable, and measurable): - 10+ years of relevant Software Development + AI / ML / DS experience - Professional Programming experience (e.g. Python, R, etc.) - Experience with AI / Machine Learning - Experience working as a contributor on a team - Experience leading AI/DS/or Analytics teams - Experience mentoring Junior Staff - Experience with Modeling and Simulation - Experience with program management Preferred Skills and Qualifications: - Masters in quantitative discipline (Math, Operations Research, 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 or modeling and simulation - Use of state-of-the-art technology to solve operational problems in AI, Machine Learning, or Modeling and Simulation spheres - 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 - Use and development of program automation, CI/CD, DevSecOps, and Agile - Experience managing technical teams delivering technical solutions for clients. - Experience working with optimization problems like scheduling - Experience with Data Analytics and Visualizations - Cloud certifications (AWS, Azure, or GCP) - 10+ yrs of related experience in AI, advanced analytics, computer science, or software development #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 $ 156,640.00 Maximum Salary $ 234,960.00

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.