Data scientist jobs in Olathe, KS - 107 jobs

Ready to be pushed beyond what you think you're capable of? At Coinbase, our mission is to increase economic freedom in the world. It's a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform - and with it, the future global financial system. To achieve our mission, we're seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company's hardest problems. Our ******************************** is intense and isn't for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there's no better place to be. While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported. Data Science is an integral component of Coinbase's product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights which directly move the company's bottom line. *What you'll be doing* * Perform analyses on products to answer open-ended questions and provide strategic recommendations. * Design and guide experiments/analysis to measure impact and drive product improvements. * Develop and maintain key metrics and reports, enhancing data infrastructure for better analysis. *What we look for in you:* * At least a BA/BS in a quantitative field (ex Math, Stats, Physics, or Computer Science) with ≥2+ years of relevant experience. * Experience driving impact for a digital product with an iterative development cycle. * Understanding of statistical concepts and practical experience applying them (in A|B testing, causal inference, ML, etc.). * Experience in data analyses using SQL. * Experience in programming/modeling in Python. * Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution. Disclaimer: Applying for a specific role does not guarantee consideration for that exact position. Leveling and team matching are assessed throughout the interview process. ID: G2462 \#LI-Remote *Pay Transparency Notice:* Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include bonus eligibility + equity eligibility**+ benefits (including medical, dental, vision and 401(k)). Pay Range: $152,405-$179,300 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. Commitment to Equal Opportunity Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the *********************************************** in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations*********************************** *Global Data Privacy Notice for Job Candidates and Applicants* Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available ********************************************************** By submitting your application, you are agreeing to our use and processing of your data as required. *AI Disclosure* For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description. For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. *The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment*. To request a reasonable accommodation due to disability, please contact accommodations[at]coinbase.com

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.

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

KEY RESPONSIBILITIES: Data Governance, Strategy and Architecture * Define and drive the organization's overall vision, data strategy, roadmap, and architecture vision. This includes the data AI architecture vision, strategy, and roadmap. This includes the design of scalable data lakes, data warehouses, and data fabric architectures. * Establish and enforce data governance policies and standards to ensure data quality, consistency, and compliance with all relevant regulations (e.g., GDPR, CCPA). Lead the implementation of a comprehensive data governance framework, including data quality management, data lineage tracking, and master data management (MDM). Collaborate with data owners and stewards across business units to establish clear roles, responsibilities, and accountability for data assets. * Establish clear rules and policies governing the responsible usage of data within AI and ML models, including documentation of data lineage for model training. Design data infrastructure specifically optimized for AI workloads, including data pipelines for machine learning models, and architect solutions for large language models (LLMs). Develop bias mitigations strategies to ensure diverse and representative datasets to prevent AI biases, and architect monitoring systems for model drift. * Evaluate, recommend, and select appropriate data management technologies, including cloud platforms (e.g., AWS, Azure, GCP), storage solutions, and governance tools. * Architect complex data integration patterns to connect disparate data sources across the organization, ensuring seamless data flow and a unified data view. Data Security and Privacy * Design and implement a robust data security architecture to protect sensitive data from unauthorized access, breaches, and corruption. * Develop security protocols, such as encryption, access controls (IAM), and masking techniques to safeguard data in transit and at rest. * Conduct regular security audits and vulnerability testing to identify gaps in security architecture and develop remediation plans. * Ensure the data architecture and its supporting systems are compliant with internal policies and external data protection regulations. Data Modeling and Management * Design and maintain conceptual, logical, and physical data models for transactional and analytical systems. * Oversee the development of database schemas, metadata management, and data cataloging efforts to improve data discoverability and understanding. * Define and standardize data architecture components, including storage solutions (data lakes, warehouses, etc.), data pipelines, and integration patterns. * Evaluate and recommend new data technologies, tools, and platforms that align with the organization's strategic needs. Data Classification * Design and implement a robust data security architecture, including controls for access management, encryption, and data masking to protect sensitive information. * Create and manage an organization-wide data classification scheme based on data sensitivity and importance (e.g., public, internal, confidential, restricted). * Implement technical controls and processes to automatically classify and tag data assets, ensuring proper handling and security. * Collaborate with business and legal teams to define and apply data classification rules consistently. Team Collaboration and Leadership * Provide technical guidance and mentorship to data engineers, analysts, developers, and other IT teams on best practices for data management and security. * Work closely with business stakeholders to understand their data requirements and translate them into effective architectural solutions. * Foster a data-centric culture across the organization, promoting awareness and understanding of data governance principles. ABOUT THE COMPANY: Bluebird Fiber is a premier fiber telecommunications provider of internet, data transport, and other services to carriers, businesses, schools, hospitals, and other enterprises in the Midwest. To learn more, please visit bluebirdfiber.com. Join an amazing team of telecommunication professionals! Bluebird is a dynamic growing company in need of a Data Architect to be a part of a collaborative team. This is a full-time, benefit eligible position in our Kansas City Office. All of us at Bluebird work hard to meet objectives for the organization and live the mission and values of this growing company to meet a common goal. Check out this video that highlights our amazing company culture. JOB SUMMARY: We are seeking a highly skilled and strategic Data Architect to lead our data governance, security, and management initiatives. This senior role will be responsible for designing and implementing the organization's enterprise data architecture, ensuring that our data is secure, reliable, and accessible for business-critical functions. The ideal candidate is a proactive leader who can define data strategy, enforce best practices, and collaborate with cross-functional teams to align our data ecosystem with business goals. REQUIRED QUALIFICATIONS: * Bachelor's or master's degree in Computer Science, Information Technology, or a related technical field. * 10+ years of hands-on experience in data architecture, data modeling, and data governance, with a proven track record of designing and implementing complex data ecosystems. Experience working in regulated industries is a plus. * Proven experience (8+ years) designing and implementing enterprise-level data architectures. * Extensive experience with data modeling, data warehousing, and modern data platforms (e.g., cloud environments like AWS, Azure, or GCP). * Deep expertise in data modeling, data warehousing, database technologies (SQL, NoSQL), big data technologies (e.g., Spark), and modern cloud platforms (e.g., AWS, Azure, GCP). * Deep expertise in data governance and security principles, including regulatory compliance frameworks. * Strong knowledge of how to structure data for machine learning and AI workloads, including experience with MLOps platforms. * Hands-on experience with data classification and data cataloging tools (e.g., Collibra, Alation). * Excellent communication, interpersonal, and leadership skills, with the ability to influence and build consensus across the organization. PREFERRED QUALIFICATIONS: * Professional certifications in data architecture, data governance, or cloud platforms. * Experience with big data technologies (e.g., Hadoop, Spark). * Familiarity with data integration and ETL/ELT frameworks.

Who We Are: Spring Venture Group is a leading digital direct-to-consumer sales and marketing company with product offerings focused on the senior market. We specialize in distributing Medicare Supplement, Medicare Advantage, and related products via our family of brands and dedicated team of licensed insurance agents. Powered by our unique technologies that combine sophisticated marketing, comparison shopping, sales execution, and customer engagement - we help thousands of seniors across the country navigate the complex world of Medicare every day. Job Description Overview At SVG, we are a leader in driving business solutions using analytics and data. The Data Science team operates at the very heart of this culture, constantly investigating how machine learning can optimize business, automate processes, improve KPIs, and forecast trends. The Data Science team is ideal for those who like to be where business and science intersect. They collaborate with stakeholders across SVG to identify business problems, and then apply data science skills to optimize objectives and directly impact key performance indicators. About the role As a Junior Data Scientist on the DS team you will receive exposure to all facets of data science at SVG and be given self-development and skills training opportunities. You will work as part of a team to solve business-related problems using data-driven techniques. You will help transform our data into tangible business value by performing statistical analysis, contributing to production services, and communicating the outcomes across business verticals. * This is a hybrid role 2-3 days a week in our dowtown office, so you must currently be in Kansas City. We are unable to sponsor for this role, so can not consider candidates with their EAD/OPT. Also, no third parties. Responsibilities Learn about and improve existing AI and machine learning systems, or build new ones altogether. Train and Deploy great models, then create tangible value with them. Develop lead engagement strategies that utilize model outputs. Train a close rate model and apply it to customer outreach. Derive actionable insights from transcripts using LLMs. Test a hypothesis and utilize the data to drive the way forward. Run thorough A/B tests that show and validate measurable improvements. Conduct analyses of business topics and present actionable insights to team leadership. Build Tableau dashboards to investigate business questions and analyze ML systems. Begin writing production-level machine learning and engineering code. Create automated solutions that solve operational pain-points and reduce manual work. Develop understanding of and utilize our tech stack - including MySQL, Python, AWS (esp. SageMaker), Git, FastAPI, and LangChain. Share ownership of production workflows, in collaboration with senior team members. Demonstrate consistent initiative and follow-through. Work through every step of the Machine Learning Lifecycle; take a problem definition all the way through to a deployed and tracked production model. Build trust throughout the organization. Perform other duties and responsibilities as assigned. Qualifications Bachelor's degree in analytical or technical field, or 2+ years of relevant work experience. Experience analyzing data and using it to drive decisions. Demonstrated problem-solving skills. Passionate about mathematical and statistical applications in business. Strong sense of accountability and integrity with exceptional written and verbal communication skills. Adaptable, acting with appropriate urgency when needed. General understanding of SQL and relational databases. Fluency in at least one programming language, preferably Python. Familiarity with basic machine learning concepts. Interest in AI and LLMs for engineering and analysis tasks. A strong work ethic combined with self-awareness and a commitment to continuous improvement. Demonstrated ability to receive and incorporate feedback effectively. Preferred Graduate coursework in Data Science, Statistics, or similar. Experience using version control systems and performing code reviews. Familiarity with owning 24/7 operational systems. Experience in a highly-productive work environment where ambiguity is the norm. Additional Information Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: Competitive Compensation Medical, Dental and vision benefits after a short waiting period 401(k) matching program Life Insurance, and Short-term and Long-term Disability Insurance Optional enrollment includes HSA/FSA, AD&D, Spousal/Dependent Life Insurance, Travel Assist and Legal Plan Generous paid time off (PTO) program starting off at 15 days your first year 15 paid Holidays (includes holiday break between Christmas and New Years) 10 days of Paid Parental Leave and 5 days of Paid Birth Recovery Leave Annual Volunteer Time Off (VTO) and a donation matching program Employee Assistance Program (EAP) - health and well-being on and off the job Rewards and Recognition Diverse, inclusive and welcoming culture Training program and ongoing support throughout your Venture Spring Venture Group career Security Responsibilities: Operating in alignment with policies and standards Reporting Security Incidents Completing assigned training Protecting assigned organizational assets Spring Venture Group is an Equal Opportunity Employer

Clorox is the place that's committed to growth - for our people and our brands. Guided by our purpose and values, and with people at the center of everything we do, we believe every one of us can make a positive impact on consumers, communities, and teammates. Join our team. #CloroxIsThePlace Your role at Clorox: We are looking for a Data Analytics Intern to support our manufacturing operations by analyzing production data, identifying trends, and providing actionable insights to improve efficiency, quality, and cost performance. This role will work closely with operations, quality, and supply chain teams to leverage data for continuous improvement. Schedule: Flexible Part-time days specific hours would be discussed and agreed upon when offered to candidate Hourly Compensation $20 per hour In this role, you will: * Collect, clean, and organize data from production systems, ERP, and quality control databases. * Analyze manufacturing KPIs such as throughput, downtime, scrap rates, and cycle times. * Develop dashboards and reports using tools like Excel, Power BI, or Tableau to monitor plant performance. * Assist in root cause analysis for production issues using statistical methods. * Support predictive analytics projects (e.g., machine maintenance, demand forecasting). * Document findings and present insights to operations and leadership teams. What we look for: * Currently pursuing a degree in Data Analytics, Industrial Engineering, Statistics, Computer Science, or related field. * Basic knowledge of SQL, Python, or R for data manipulation and analysis. * Familiarity with data visualization tools (Power BI, Tableau, or similar). * Strong analytical and problem-solving skills with attention to detail. * Ability to work collaboratively in a fast-paced manufacturing environment. Preferred Skills * Understanding of Lean Manufacturing and Six Sigma principles. * Experience with ERP systems (SAP, Oracle, or similar). * Knowledge of manufacturing processes and operational KPIs. Benefits * Hands-on experience with real production data and continuous improvement projects. * Exposure to advanced analytics in a manufacturing setting. * Mentorship from experienced operations and data professionals. Our values-based culture connects to our purpose and empowers people to be their best, professionally and personally. We serve a diverse consumer base which is why we believe teams that reflect our consumers bring fresh perspectives, drive innovation, and help us stay attuned to the world around us. That's why we foster an inclusive culture where every person can feel respected, valued, and fully able to participate, and ultimately able to thrive. Learn more. Benefits we offer to help you be well and thrive: * Competitive compensation * Generous 401(k) program in the US and similar programs in international * Health benefits and programs that support both your physical and mental well-being * Flexible work environment, depending on your role * Meaningful opportunities to keep learning and growing * Half-day Fridays, depending on your location Please apply directly to our job postings and do not submit your resume to any person via text message. Clorox does not conduct text-based interviews and encourages you to be cautious of anyone posing as a Clorox recruiter via unsolicited texts during these uncertain times. To all recruitment agencies: Clorox (and its brand families) does not accept agency resumes. Please do not forward resumes to Clorox employees, including any members of our leadership team. Clorox is not responsible for any fees related to unsolicited resumes.

Employment Type: Full-time, In-Office Salary: $120,000 - $160,000/year + equity Steadily is hiring an Actuary in the Kansas City Metro area who is the best at what they do. You'll be surrounded by team members who are also the best at what they do, which will make you even better! This is a full-time, in-office position based in Overland Park, KS. As an Actuary, you will: Be responsible for the growth and profitability of our DP products nationwide. Develop industry-leading approaches to rating, exposure management, and capital modeling. Develop pricing of new products and enhance pricing of existing products Expand our product into new geographies. Analyze the drivers of profitability including loss ratios, actuarial indications, frequency/severity trends, retention and other data for all products, books, and channels. Manage rate filings across multiple states to ensure we are priced to achieve the required return across all products and segments. Develop and implement robust data-driven action plans to continually improve performance. Drive innovation by finding new and different ways to price better than the traditional solutions. Your Background Experienced: You've been a high achiever in insurance for four years or more. You have experience managing property products (preferably personal lines - HO or DP). You understand the current US property market. Education: You are nearing actuarial accreditation with the Casualty Actuarial Society (CAS), having passed a minimum of 5 actuarial exams. Builder: You have a builder's mindset and can take projects and products from inception to launch and beyond. You have a bias towards action. Digital: Your tech savvy is exceptional. You have strong product sense and are a master of learning and implementing new software and processes. Your technical and analytical skills are top notch. Hungry: You want to make the leap into an earlier-stage tech company to rapidly accelerate your growth. You want to roll up your sleeves and hustle - you are not looking for a traditional 9-5 job. Compensation and Benefits Compensation $120k -$160k salary + equity in the company 3 weeks PTO plus six federal holidays Health Insurance including Medical, Dental, Vision, Life, Disability, HSA, FSA 401K Free snacks & regular team lunches Locations Overland Park, KS Relocation assistance available for out of state candidates Steadily is building a workplace environment of team members who are passionate and excited to be together in person. Our office is located in Overland Park, KS and key to our fast-paced growth trajectory. Why Join Steadily Good company. Our founders have three successful startups under their belt and have recruited a stellar team to match. Top compensation. We pay at the top of the Kansas City market (see comp). Growth opportunity: We're an early-stage, fast-growing company where you'll wear a lot of hats and shape product decisions. Strong backing. We're growing fast, we manage over $20 billion in risk, and we're exceptionally well-funded. Culture: Steadily boasts a very unique culture that our teammates love. We call it like we see it and we're nothing if not candid. Plus, we love to have a good time. Check out our culture deck to learn what we're all about. Awards: We've been recognized both locally and nationally as a top place to work. We were named a Top 2025 Startup in Newsweek, winner of Austin Business Journal's Best Places to Work in 2025, recognized in Investopedia's Best Landlord Insurance Companies, ranked No. 6 on Inc's list of Fastest Growing Regional Companies, 44th on Forbes' 2025 Best Startup Employers list, and 63rd on the prestigious Inc 5000 Fastest Growing Companies list.

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

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.

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 (***************************************************************************************************************************

Candidates can live within commutable distance to any Slalom office in the US. We have a hybrid and flexible environment. Who You'll Work With As a modern technology company, we've never met a technical challenge we didn't like. We enable our clients to learn from their data, create incredible digital experiences, and make the most of new technologies. We blend design, engineering, and analytics expertise to build the future. We surround our technologists with interesting challenges, innovative minds, and emerging technologies. We are seeking an experienced Cloud Data Migration Architect with deep expertise in SQL Server, Oracle, DB2, or a combination of these platforms, to lead the design, migration, and optimization of scalable database solutions in the AWS cloud. This role will focus on modernizing on-premises database systems by architecting high-performance, secure, and reliable AWS-hosted solutions. As a key technical leader, you will work closely with data engineers, cloud architects, and business stakeholders to define data strategies, lead complex database migrations, build out ETL pipelines, and optimize performance across legacy and cloud-native environments. What You'll Do * Design and optimize database solutions on AWS, including Amazon RDS, EC2-hosted instances, and advanced configurations like SQL Server Always On or Oracle RAC (Real Application Clusters). * Lead and execute cloud database migrations using AWS Database Migration Service (DMS), Schema Conversion Tool (SCT), and custom automation tools. * Architect high-performance database schemas, indexing strategies, partitioning models, and query optimization techniques. * Optimize complex SQL queries, stored procedures, functions, and views to ensure performance and scalability in the cloud. * Implement high-availability and disaster recovery (HA/DR) strategies including Always-On, Failover Clusters, Log Shipping, and Replication, tailored to each RDBMS. * Ensure security best practices are followed including IAM-based access control, encryption, and compliance with industry standards. * Collaborate with DevOps teams to implement Infrastructure-as-Code (IaC) using tools like Terraform, CloudFormation, or AWS CDK. * Monitor performance using tools such as AWS CloudWatch, Performance Insights, Query Store, Dynamic Management Views (DMVs), or Oracle-native tools. * Work with software engineers and data teams to integrate cloud databases into enterprise applications and analytics platforms. What You'll Bring * 5+ years of experience in database architecture, design, and administration with at least one of the following: SQL Server, Oracle, or DB2. * Expertise in one or more of the following RDBMS platforms: Microsoft SQL Server, Oracle, DB2. * Hands-on experience with AWS database services (RDS, EC2-hosted databases). * Strong understanding of HA/DR solutions and cloud database design patterns. * Experience with ETL development and data integration, using tools such as SSIS, AWS Glue, or custom solutions. * Familiarity with AWS networking components (VPCs, security groups) and hybrid cloud connectivity. * Strong troubleshooting and analytical skills to resolve complex database and performance issues. * Ability to work independently and lead database modernization initiatives in collaboration with engineering and client stakeholders. Nice to Have * AWS certifications such as AWS Certified Database - Specialty or AWS Certified Solutions Architect - Professional. * Experience with NoSQL databases or hybrid data architectures. * Knowledge of analytics and big data tools (e.g., Snowflake, Redshift, Athena, Power BI, Tableau). * Familiarity with containerization (Docker, Kubernetes) and serverless technologies (AWS Lambda, Fargate). * Experience with DB2 on-premise or cloud-hosted environments. About Us Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value. At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all. Compensation and Benefits Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance. Slalom is committed to fair and equitable compensation practices. For this position, the target base salary pay range in the following locations: Boston, Houston, Los Angeles, Orange County, Seattle, San Diego, Washington DC, New York, New Jersey, for Consultant level is $105,000-147,000 and for Senior Consultant level it is $120,000-$169,000 and for Principal level it is $133,000-$187,000. In all other markets, the target base salary pay range for Consultant level is $96,000-$135,000 and for Senior Consultant level it is $110,000-$155,000 and for Principal level it is $122,000-$172,000. In addition, individuals may be eligible for an annual discretionary bonus. Actual compensation will depend upon an individual's skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time. EEO and Accommodations Slalom is an equal opportunity employer and is committed to attracting, developing and retaining highly qualified talent who empower our innovative teams through unique perspectives and experiences. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process. We will accept applications until 1/31/2026 or until the positions are filled.

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. 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. QUALIFICATIONS Required: Strong SQL development skills and experience with Microsoft SQL Server and Azure SQL Database. Hands-on experience with data import, transformation, and integration using Azure Data Factory, SSIS, or similar tools. Proficiency in building BI solutions using Power BI and/or SSRS. Strong data modeling and relational database design skills. Proficiency in Microsoft Excel (advanced formulas, pivot tables, external data connections). Ability to translate business goals into data requirements and technical solutions. Excellent communication and collaboration skills. Bachelor's degree in Computer Science, Information Systems, or a related field (or equivalent experience). Preferred: Experience with cloud-based data platforms (Azure Data Lake, Synapse Analytics, Databricks). Familiarity with version control tools (Git, Azure DevOps) and Agile development practices. Exposure to Python or PowerShell for data transformation or automation. Experience integrating data from insurance or financial systems. Compensation: $120-129K This position is 3 days onsite/hybrid located in Overland Park, KS We look forward to reviewing your application. We encourage everyone to apply - even if every box isn't checked for what you are looking for or what is required. PDSINC, LLC is an Equal Opportunity Employer.

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. Compensación: $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.

Velocity Staff, Inc. is working with our client located in the Overland Park, KS area to identify a Senior Level Data Engineer to join their Data Services Team. The right candidate will utilize their expertise in data warehousing, data pipeline creation/support and analytical reporting and be responsible for gathering and analyzing data from several internal and external sources, designing a cloud-focused data platform for analytics and business intelligence, reliably providing data to our analysts. This role requires significant understanding of data mining and analytical techniques. An ideal candidate will have strong technical capabilities, business acumen, and the ability to work effectively with cross-functional teams. Responsibilities Work with Data architects to understand current data models, to build pipelines for data ingestion and transformation. Design, build, and maintain a framework for pipeline observation and monitoring, focusing on reliability and performance of jobs. Surface data integration errors to the proper teams, ensuring timely processing of new data. Provide technical consultation for other team members on best practices for automation, monitoring, and deployments. Provide technical consultation for the team with “infrastructure as code” best practices: building deployment processes utilizing technologies such as Terraform or AWS Cloud Formation. Qualifications Bachelor's degree in computer science, data science or related technical field, or equivalent practical experience Proven experience with relational and NoSQL databases (e.g. Postgres, Redshift, MongoDB, Elasticsearch) Experience building and maintaining AWS based data pipelines: Technologies currently utilized include AWS Lambda, Docker / ECS, MSK Mid/Senior level development utilizing Python: (Pandas/Numpy, Boto3, SimpleSalesforce) Experience with version control (git) and peer code reviews Enthusiasm for working directly with customer teams (Business units and internal IT) Preferred but not required qualifications include: Experience with data processing and analytics using AWS Glue or Apache Spark Hands-on experience building data-lake style infrastructures using streaming data set technologies (particularly with Apache Kafka) Experience data processing using Parquet and Avro Experience developing, maintaining, and deploying Python packages Experience with Kafka and the Kafka Connect ecosystem. Familiarity with data visualization techniques using tools such as Grafana, PowerBI, AWS Quick Sight, and Excel. Not ready to apply? Connect with us to learn about future opportunities.

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 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent 8. 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R (minimum of 2 years with a Ph.D.) 9. 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights] **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $147,000/year to $208,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Who We Are: Spring Venture Group is a leading digital direct-to-consumer sales and marketing company with product offerings focused on the senior market. We specialize in distributing Medicare Supplement, Medicare Advantage, and related products via our family of brands and dedicated team of licensed insurance agents. Powered by our unique technologies that combine sophisticated marketing, comparison shopping, sales execution, and customer engagement - we help thousands of seniors across the country navigate the complex world of Medicare every day. Job Description Overview At SVG, we are a leader in driving business solutions using analytics and data. The Data Science team operates at the very heart of this culture, constantly investigating how machine learning can optimize business, automate processes, improve KPIs, and forecast trends. The Data Science team is ideal for those who like to be where business and science intersect. They collaborate with stakeholders across SVG to identify business problems, and then apply data science skills to optimize objectives and directly impact key performance indicators. About the role As a Junior Data Scientist on the DS team you will receive exposure to all facets of data science at SVG and be given self-development and skills training opportunities. You will work as part of a team to solve business-related problems using data-driven techniques. You will help transform our data into tangible business value by performing statistical analysis, contributing to production services, and communicating the outcomes across business verticals. * This is a hybrid role 2-3 days a week in our dowtown office, so you must currently be in Kansas City. We are unable to sponsor for this role, so can not consider candidates with their EAD/OPT. Also, no third parties. Responsibilities * Learn about and improve existing AI and machine learning systems, or build new ones altogether. * Train and Deploy great models, then create tangible value with them. * Develop lead engagement strategies that utilize model outputs. * Train a close rate model and apply it to customer outreach. * Derive actionable insights from transcripts using LLMs. * Test a hypothesis and utilize the data to drive the way forward. * Run thorough A/B tests that show and validate measurable improvements. * Conduct analyses of business topics and present actionable insights to team leadership. * Build Tableau dashboards to investigate business questions and analyze ML systems. * Begin writing production-level machine learning and engineering code. * Create automated solutions that solve operational pain-points and reduce manual work. * Develop understanding of and utilize our tech stack - including MySQL, Python, AWS (esp. SageMaker), Git, FastAPI, and LangChain. * Share ownership of production workflows, in collaboration with senior team members. * Demonstrate consistent initiative and follow-through. * Work through every step of the Machine Learning Lifecycle; take a problem definition all the way through to a deployed and tracked production model. * Build trust throughout the organization. * Perform other duties and responsibilities as assigned. Qualifications * Bachelor's degree in analytical or technical field, or 2+ years of relevant work experience. * Experience analyzing data and using it to drive decisions. * Demonstrated problem-solving skills. * Passionate about mathematical and statistical applications in business. * Strong sense of accountability and integrity with exceptional written and verbal communication skills. * Adaptable, acting with appropriate urgency when needed. * General understanding of SQL and relational databases. * Fluency in at least one programming language, preferably Python. * Familiarity with basic machine learning concepts. * Interest in AI and LLMs for engineering and analysis tasks. * A strong work ethic combined with self-awareness and a commitment to continuous improvement. Demonstrated ability to receive and incorporate feedback effectively. Preferred * Graduate coursework in Data Science, Statistics, or similar. * Experience using version control systems and performing code reviews. * Familiarity with owning 24/7 operational systems. * Experience in a highly-productive work environment where ambiguity is the norm. Additional Information Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: * Competitive Compensation * Medical, Dental and vision benefits after a short waiting period * 401(k) matching program * Life Insurance, and Short-term and Long-term Disability Insurance * Optional enrollment includes HSA/FSA, AD&D, Spousal/Dependent Life Insurance, Travel Assist and Legal Plan * Generous paid time off (PTO) program starting off at 15 days your first year * 15 paid Holidays (includes holiday break between Christmas and New Years) * 10 days of Paid Parental Leave and 5 days of Paid Birth Recovery Leave * Annual Volunteer Time Off (VTO) and a donation matching program * Employee Assistance Program (EAP) - health and well-being on and off the job * Rewards and Recognition * Diverse, inclusive and welcoming culture * Training program and ongoing support throughout your Venture Spring Venture Group career Security Responsibilities: * Operating in alignment with policies and standards * Reporting Security Incidents Completing assigned training * Protecting assigned organizational assets Spring Venture Group is an Equal Opportunity Employer

**_What Data Science contributes to Cardinal Health_** The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we are pushing the boundaries of healthcare with cutting-edge Data Science and Artificial Intelligence (AI). Our mission is to leverage the power of data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the overall healthcare experience. We are seeking a highly motivated and experienced Senior Data Scientist to join our team as a thought leader and architect of our AI strategy. You will play a critical role in fulfilling our vision through delivery of impactful solutions that drive real-world change. **_Responsibilities_** + Lead the Development of Innovative AI solutions: Be responsible for designing, implementing, and scaling sophisticated AI solutions that address key business challenges within the healthcare industry by leveraging your expertise in areas such as Machine Learning, Generative AI, and RAG Technologies. + Develop advanced ML models for forecasting, classification, risk prediction, and other critical applications. + Explore and leverage the latest Generative AI (GenAI) technologies, including Large Language Models (LLMs), for applications like summarization, generation, classification and extraction. + Build robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with vast repositories of healthcare and business data, ensuring accurate and relevant outputs. + Shape Our AI Strategy: Work closely with key stakeholders across the organization to understand their needs and translate them into actionable AI-driven or AI-powered solutions. + Act as a champion for AI within Cardinal Health, influencing the direction of our technology roadmap and ensuring alignment with our overall business objectives. + Guide and mentor a team of Data Scientists and ML Engineers by providing technical guidance, mentorship, and support to a team of skilled and geographically distributed data scientists, while fostering a collaborative and innovative environment that encourages continuous learning and growth. + Embrace a AI-Driven Culture: foster a culture of data-driven decision-making, promoting the use of AI insights to drive business outcomes and improve customer experience and patient care. **_Qualifications_** + 8-12 years of experience with a minimum of 4 years of experience in data science, with a strong track record of success in developing and deploying complex AI/ML solutions, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases, along with evaluating retrievals from RAGs and GenAI models without ground truth + Experience working with building production ready Generative AI Applications involving RAGs, LLM, vector databases and embeddings model. + Extensive knowledge of healthcare data, including clinical data, patient demographics, and claims data. Understanding of HIPAA and other relevant regulations, preferred. + Experience working with cloud platforms like Google Cloud Platform (GCP) for data processing, model training, evaluation, monitoring, deployment and support preferred. + Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences preferred. + Proficiency in Python, statistical programming languages, machine learning libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools preferred. + Experience in Cloud Functions, VertexAI, MLFlow, Storage Buckets, IAM Principles and Service Accounts preferred. + Experience in building end-to-end ML pipelines, from data ingestion and feature engineering to model training, deployment, and scaling preferred. + Experience in building and implementing CI/CD pipelines for ML models and other solutions, ensuring seamless integration and deployment in production environments preferred. + Familiarity with RESTful API design and implementation, including building robust APIs to integrate your ML models and GenAI solutions with existing systems preferred. + Working understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with an emphasis on ML/GenAI implementations preferred. + Experience working in Agile development environments, including Scrum or Kanban, and a strong understanding of Agile principles and practices preferred. + Familiarity with DevSecOps principles and practices, incorporating coding standards and security considerations into all stages of the development lifecycle preferred. **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $121,600 - $173,700 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 11/05/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

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