Senior data scientist jobs in Ankeny, IA - 80 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:* * Conduct analysis and deep dives on ambiguous problems for our business. Your work will result in insights and recommendations that guide the team's decision making. * Act as owner for a broad scope of data and metrics, from core logging to presentation of data visualizations. * Guide code reviews, provide SQL and Python expertise, and create well-maintained ETL jobs. * Maintain a high bar for statistical rigor on your team. Ensure that we're conducting experimentation and causal analyses that build confidence with your stakeholders. *What we look for in you:* * A BA/BS in a quantitative field (ex Math, Stats, Physics, or Computer Science) with ≥5+ years of relevant experience or a PhD in a quantitative field with with ≥3+ years of relevant experience * Demonstrated experience in driving impactful data science projects that tackle ambiguous problem spaces. * Ability to influence external stakeholders by synthesizing data learnings into compelling stories. * Practical expertise in applying complex modeling frameworks to practical business problems. * Professional experience using SQL and Python. * Experience working with digital products in an iterative development cycle. * 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 *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: $180,370-$212,200 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

This is a multi-level posting. Candidates may be considered for any of the posted levels 14, 15, 16 or 17, depending on their level of experience and depth of expertise. We are seeking a skilled and motivated Data Scientist to join our growing Data & Analytics team at MidAmerican Energy company. This role is instrumental in driving data-driven decision-making across the organization, with a strong focus on leveraging Microsoft Azure as the core data and analytics platform. The ideal candidate will have a passion for solving complex business problems using data science techniques and cloud-native tools. Responsibilities Collaborate with business stakeholders to identify opportunities for data science solutions that improve operational efficiency, customer experience, and sustainability. Design, develop, and deploy machine learning models and advanced analytics solutions using Azure Machine Learning, Azure Databricks, and related services. Build and maintain scalable data pipelines using Azure Data Factory, Azure Databricks, and other Azure-native tools. Perform exploratory data analysis, feature engineering, and model validation using Python or similar languages. Work closely with data engineers and architects to ensure data quality, governance, and security across the Azure ecosystem. Communicate findings and insights through compelling visualizations and dashboards using Power BI. Contribute to the development of best practices, reusable assets, and knowledge sharing within the data science community of practice. Qualifications Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, or a related field. (Typically four years of related, progressive work experience would be needed for candidates applying for this position who do not possess a bachelor's degree.) Master's in data science or related technical field preferred. Eighteen months of work and/or internship experience required for level 1. Primarily in a data science, modeling or administration role preferred. A minimum of three years of additional directly-related experience is required for the level 2. Five years of related work experience, primarily in a data science, modeling and administration role for level 3. Six years of related work experience, primarily in a data science, modeling and administration role for Sr level. Hands-on experience with Microsoft Azure services, including: Azure Machine Learning Azure Data Factory Azure Databricks Azure DevOps Proficiency in Python similar programming languages. Strong SQL skills and experience working with large-scale data sets. Experience with version control (e.g., Git) and Agile development practices. Excellent communication and collaboration skills. Proven experience working in the utility industry is preferred. Effective oral and written communication skills, with the ability to collaborate across teams and mentor junior engineers. Strong analytical and problem-solving abilities. Ability to prioritize and manage multiple tasks and projects concurrently. Employees must be able to perform the essential functions of the position, with or without accommodation. All qualified applicants will receive consideration for employment without regard to race, color, religion or religious creed, age, national origin, ancestry, citizenship status (except as required by law), gender (including gender identity and expression), sex (including pregnancy), sexual orientation, genetic information, physical or mental disability, veteran or military status, familial or parental status, marital status or any other category protected by applicable local, state or U.S. federal law.

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.

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

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

Farm Bureau is looking for a strong data driven professional to join our team and help us live out our mission of protecting livelihoods and futures. In this role, you will perform statistical analysis as part of the predictive modeling team and assist in the delivery of pricing models and competitive research. Candidate must be local to the Des Moines area, or willing to relocate as at least three days in the office is required per week. Candidates must also have predictive modeling or actuarial experience. Who We Are: At Farm Bureau Financial Services, we make insurance simple so our client/members can feel confident knowing their family, home, cars and other property are protected. We value a culture where integrity, teamwork, passion, service, leadership and accountability are at the heart of every decision we make and every action we take. We're proud of our more than 80-year commitment to protecting the livelihoods and futures of our client/members and creating an atmosphere where our employees thrive. What You'll Do: * Develop, implement, and document predictive models * Interpret results to audiences of various technical knowledge * Test, validate, and correct / clean data as needed * Collaborate with managing actuaries on the pricing teams to deliver results What It Takes to Join Our Team: * College degree plus 3 years predictive modeling experience required. * Property Casualty experience preferred. * Must have strong skills with SQL, R, Emblem or other predictive modeling software. * Be team focused and be able to work in a collaborative work environment. * Strong communication and presentation skills. What We Offer You: When you're on our team, you get more than a great paycheck. You'll hear about career development and educational opportunities. We offer an enhanced 401K with a match, low-cost health, dental, and vision benefits, and life and disability insurance options. We also offer paid time off, including holidays and volunteer time, and teams who know how to have fun. Add to that an onsite wellness facility with fitness classes and programs, a daycare center, a cafeteria, and for many positions, even consideration for a hybrid work arrangement. Farm Bureau....where the grass really IS greener! Work Authorization/Sponsorship Applicants must be currently authorized to work in the United States on a full-time basis. We are not able to sponsor now or in the future, or take over sponsorship of, an employment visa or work authorization for this role. For example, we are not able to sponsor OPT status.

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. **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.

As an Imaging Data Scientist for one of our Agricultural Sciences customers, you will work at the intersection of plant cell biology and applied AI to build, productionize, and maintain computer vision pipelines that accelerate Doubled Haploid (DH) breeding in Biotechnology. You will contribute to end‑to‑end imaging and analytics-from microscopy microspore detection to macroscopic structure assessment and plantlet characterization-supporting decisions that reduce cycle time and cost in DH programs. Solutions will be developed primarily in Python, integrated with our repositories and workflow tooling, and aligned with Biotech strategy initiatives. Day to day responsibilities include: Design & deliver deep learning-based CV models for microscopy and macroscopic assays (detection, segmentation, classification) with measurable accuracy, robustness, and throughput. Build production‑ready pipelines in Python (data ingest, preprocessing, augmentation, inference, batch processing), integrated with GitLab repos and experiment tracking; ensure reproducibility and documentation. Implement hyperspectral analysis workflows (band selection, normalization, feature extraction, model training). Harmonize imaging acquisition with analysis by collaborating with biology teams to standardize microscopy/RGB/hyperspectral capture and file formats (e.g., FIJI/ImageJ for z‑stacks; auto scale practices). Quantify model performance (precision/recall, F1, ROC/AUC, calibration) and write clear reports/posters for DH sessions; support fact‑checking in presentations. Operationalize at scale: batch processing of tens of thousands of structures/images; optimize inference (e.g., torch. compile, mixed precision) and monitor resource usage. Partner with DH stakeholders (biotech & breeding, Genome Technology Discovery, Data Science) to align deliverables with deployment milestones. Maintain IP & data stewardship practices consistent with internal strategy; avoid disclosure of confidential protocols while enabling model re‑use. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: **************************************************** Skills and Requirements 4-6 years hands‑on in computer vision with Python (PyTorch/TensorFlow), including detection/segmentation/classification for scientific or industrial imaging. Proven ability to productionize models: Git/GitLab, code reviews, CICD basics, experiment tracking (MLFlow or equivalent), reproducible data/experiments, and clear documentation. Experience with microscopy image processing, multi‑page TIFFs, z‑stacks, autoscale/normalization, and image quality challenges. Familiarity with hyperspectral or multispectral imaging pipelines (preprocessing, dimensionality reduction, modeling) applied to plant or biological materials. Track record of measurable model performance reporting and communicating results via posters/presentations for technical audiences. Stakeholder communication skills, willing to take ownership of project work Vision Transformers (ViT) and modern YOLO workflows for microscopy/macroscopic tasks; comfort with infer tooling. Experience optimizing inference (e.g., torch.compile, mixed precision) and scaling batch workflows. Domain familiarity with Biotech breeding workflows. Collaboration with discovery and strategy teams; ability to work across biology, engineering, and data science groups.

CCG Talent Management is not only a business solutions company but a company that believes success starts with the individual. CCG Business Solutions has been consulting and providing talent placement services since 2007. Our team understands the principles of connecting purpose to business. We are currently recruiting for a Data Scientist (Python, Power BI, Databricks, SQL, data modeling, R, Javascript, MondoDB). Job Description As a Data Scientist, you will join a client team leveraging petabyte-scale datasets for advanced analytics and model building to enable intelligent, automated equipment and improved decisions by farmers. The client team partners with product managers and data engineers to design, scale, and deliver full-stack data science solutions. You will join a passionate team making a difference by applying innovative technology to solve some of the world's biggest problems. Responsibilities Communicate with impact your findings and methodologies to stakeholders with a variety of backgrounds. Work with high-resolution machine and agronomic data in the development and testing of predictive models. Develop and deliver production-ready machine learning approaches to yield insights and recommendations from precision agriculture data Define, quantify, and analyze Key Performance Indicators that define successful customer outcomes. Work closely with the Data Engineering teams to ensure data is stored efficiently and can support the required analytics. Qualifications Demonstrated competency in developing production-ready models in an Object-Oriented program language such as Python. Demonstrated competency in using data-access technologies such as SQL, Spark, Databricks, BigQuery, MongoDB, etc. Experience with Visualization tools such as Tableau, PowerBI, DataStudio, etc. Experience with Data Modeling techniques such as Normalization, data quality, and coverage assessment, attribute analysis, performance management, etc. Experience building machine learning models such as Regression, supervised learning, unsupervised learning, probabilistic inference, natural language modeling, etc. Excellent communication skills. Able to effectively lead meetings, document work for reproduction, write persuasively, communicate proofs-of-concept, and effectively take notes. Additional Qualifications Additional experience with other languages such as R, JavaScript, Scala, etc. Examples of professional work such as publications, patents, a portfolio of relevant project work, etc. Familiarity with Distributed Datasets Experienced with a variety of data structures such as time series, geo-tagged, text, structured, and unstructured. Experience with simulations such as Monte Carlo simulation, Gibbs sampling, etc. Experience with model validation, measuring model bias, measuring model drift, etc. Experience collaborating with stakeholders from disciplines such as Product, Sales, Finance, etc. Ability to communicate complex analytical insights in a manner that is understandable by non - technical audiences. Additional Information Salary: $55.00 - $58.00 + Bonus + Relocation All your information will be kept confidential according to EEO guidelines.

At Emerson, we pride ourselves on our industry-leading control valve portfolio, featuring top brands like Fisher , Sempell , and Crosby . These brands power the world through a wide range of applications across various industries, from refining and hydrogen to nuclear power. By joining our Supply Chain Digitalization team, you'll become part of an almost 150-year legacy that began with William Fisher in 1880 and help us take the next steps into the future by harnessing statistical analytics and emerging technologies to deliver products to customers faster and with greater certainty. We're looking for someone who is eager to take these next steps with us and make a significant impact on our operations. If this sounds like the perfect opportunity for you, we encourage you to apply and become a vital part of our team. Together, we can continue to drive innovation and excellence in the industry. Relocation assistance available. We look forward to hearing from you! In This Role, Your Responsibilities Will Be: Use statistics, programming, modeling, and related analytics to extract actionable insights from complex operations and supply chain data. Develop ‘proof of concept' models for advanced supply chain and operations tools to optimize cost and performance. Support implementation of ‘proof of concept' models into enterprise operations, through testing, validation, planning, and cross functional collaboration with stakeholders. Support management decision-making with data-driven analytics. Who You Are: You break down objectives into appropriate initiatives and actions. You persist in accomplishing objectives despite obstacles and setbacks. You step up to conflicts, seeing them as opportunities. You delegate and distribute assignments and decisions appropriately. You create milestones to rally support behind the program. For This Role, You Will Need: Bachelor's degree and 3 + years in data science, statistics, or related field or PhD Legal Authorization to work in the United States - sponsorship will not be provided for this role Preferred Qualifications That Set You Apart: Advanced Degree in related field preferred Experience in supply chain, operations or related disciplines Experience with Power BI, Python, Oracle, machine learning models, ML model training algorithms, agentic AI, and similar Our Culture & Commitment to You: At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives-because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results. We recognize the importance of employee wellbeing. We prioritize providing flexible, competitive benefits plans to meet you and your family's physical, mental, financial, and social needs. We provide a variety of medical insurance plans, with dental and vision coverage, Employee Assistance Program, 401(k), tuition reimbursement, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave. #LI-AN1

Looking for a career where you love what you do and who you do it with? You're in the right place. Healthcare here is different - we're locally owned and led by our physicians, and all decisions are always made right here in Central Iowa. By working at The Iowa Clinic, you'll get to make a difference while seeing a difference in our workplace. Because as one clinic dedicated to exceptional care, we're committed to exceeding expectations, showing compassion and collaborating to provide the kind of care most of us got into this business to deliver in the first place. Think you've got what it takes to join our TIC team? Keep reading… A day in the life… Wondering what a day in the life of a Data Engineer - Healthcare Analytics at The Iowa Clinic might look like? We are seeking a skilled and motivated Data Engineer to join our growing analytics team. In this role, you will design, build, and maintain scalable data pipelines and infrastructure that empower our organization to make data-driven decisions. You'll collaborate closely with data analysts, data scientists, and business stakeholders to ensure data is accessible, reliable, and optimized for performance. Key Responsibilities * Develop and maintain robust ETL/ELT pipelines using modern data engineering tools and frameworks. * Design and implement data models and architectures that support analytics and reporting needs. * Ensure data quality, integrity, and security across all systems. * Collaborate with cross-functional teams to understand data requirements and deliver solutions. * Monitor and optimize data workflows for performance and scalability. * Maintain documentation for data processes, systems, and architecture. NOTE: Candidates must have valid U.S. work authorization and will not require employer sponsorship now or in the future. We do not provide sponsorship. Qualifications * Bachelor's or Master's degree in Computer Science, Engineering, or a related field. * 3+ years of experience in data engineering or a similar role. * Demonstrated knowledge and practical use of health information standards * Strong understanding of analytical methods, tools, statistics and data management * Proficiency in SQL and Python (or other scripting languages). * Experience with cloud platforms (e.g., AWS, Azure, GCP) and data warehousing solutions (e.g., Snowflake, Redshift, BigQuery). * Familiarity with tools like Airflow, dbt, Kafka, or Spark is a plus. * Strong understanding of data modeling, data governance, and best practices in data architecture. Preferred Skills * Experience working in Agile environments. * Knowledge of CI/CD pipelines and DevOps practices. * Ability to communicate technical concepts to non-technical stakeholders. * Passion for building scalable and efficient data systems. Know someone else who might be a great fit for this role? Share it with them! What's in it for you * One of the best 401(k) programs in central Iowa, including employer match and profit sharing * Employee incentives to share in the Clinic's success * Generous PTO accruals * and paid holidays * Health, dental and vision insurance * Quarterly volunteer opportunities through a variety of local nonprofits * Training and development programs * Opportunities to have fun with your colleagues, including TIC night at the Iowa Cubs, employee appreciation tailgate party, Adventureland day, State Fair tickets, annual holiday party, drive-in movie night… we could go on and on * Monthly departmental celebrations, jeans days and clinic-wide competitions * Employee rewards and recognition program * Health and wellness program with up to $350/year in incentives * Employee feedback surveys * All employee meetings, team huddles and transparent communication

Job Description RFA Engineering (*************** supports industry-leading clients through the full software development lifecycle to build cutting-edge precision agriculture, machine guidance, vehicle automation and autonomy applications. We are seeking passionate, talented engineers to work on exciting projects using the latest tools and technologies including robotics, computer-vision, machine learning, IoT, cloud computing, and much more. Collaborate with a team of industry experts onsite at our client's world-class engineering center and contribute to developing innovative solutions that drive sustainable agriculture practices. This is a full-time position with a full benefit package listed below that includes opportunities for professional growth, direct hire by our customers, and additional opportunities within our own organization. Senior Data Engineer As a Data Engineer, you will enable engineers, analysts, and data scientists to more effectively access, explore, and leverage enterprise data to generate insights, build models, and make data-driven decisions. This role focuses on designing scalable cloud-based data solutions, developing high-quality datasets, and creating data products that empower individual contributors to work independently with complex, high-volume data. A key component of this role involves collaborating with embedded and digital engineering teams to define, capture, and analyze system performance, UI, and health metrics. You will help translate raw signals into actionable insights through analytics, dashboards, and monitoring tools. Responsibilities Design, build, and maintain cloud-based data pipelines and data products that support analytics, machine learning, and exploratory data analysis Enable self-service data access by developing well-structured, documented, and discoverable datasets for individual contributors Partner with embedded and digital engineering teams to define required performance, UI, and system health metrics and ensure appropriate data capture Perform analytics and data aggregation to translate raw signals into meaningful insights and visualizations Develop and maintain production-ready Python code and data workflows using SQL, PySpark, Databricks, and related technologies Manage and optimize storage of diverse data types, including images, raster data, parquet files, time-series data, geo-tagged data, text, and other unstructured data Build dashboards and interactive data applications using tools such as Tableau, Plotly Dash, or similar web-based visualization frameworks Develop alerting and monitoring solutions (e.g., automated email notifications) to identify system performance issues or data pipeline failures Collaborate in code reviews, documentation, and best-practice development to ensure maintainable and reproducible solutions Manage multiple projects, priorities, and milestones while maintaining a strong sense of ownership and accountability Requirements Bachelor's degree or higher in Computer Science, Software Engineering, Data Engineering, or a related technical field, or equivalent professional experience Demonstrated experience designing and implementing cloud-based data solutions in production environments Strong proficiency in Python for data engineering and analytics applications Experience working with data access and processing technologies such as SQL, PySpark, Databricks, Postgres, and MongoDB Experience building and maintaining datasets at scale across multiple data formats and structures Familiarity with vehicle or embedded system data, including CAN signals Excellent written and verbal communication skills, including the ability to lead meetings, clearly document work, communicate proof-of-concepts, and collaborate across teams Desired Attributes Experience developing dashboards and visual analytics solutions using tools such as Tableau, Plotly, or similar platforms Familiarity with spatial data and visualization tools such as Folium or Plotly Experience implementing system monitoring, alerting, and health-tracking solutions Strong analytical and problem-solving skills with the ability to debug complex data and system issues Ability to work effectively in a self-directed environment with minimal oversight Proven ability to manage multiple schedules, deliverables, and stakeholders simultaneously Knowledge of off-highway, agricultural, construction, or industrial equipment data systems is a plus Visa sponsorship is NOT available for this position. Salary Range: $80,000-$120,000/year: Commensurate with experience About RFA Engineering RFA Engineering has provided product development and engineering services to industry leading customers since 1943. Our primary focus is the development of off highway equipment including agricultural, construction, mining, recreational, industrial, and special machines. Our work includes concept development, product design, documentation, problem-solving, simulation, optimization, and testing of components, systems and complete machines. Our engineering staff is located at our Engineering Center in Minneapolis, branch office in Dubuque, IA, and at numerous customer sites throughout the U.S. Competitive Benefits Health and Dental Insurance TelaDoc Healthiest You Supplemental Vision Insurance Company Paid Life Insurance Company Paid Long-Term Disability Short-term Disability Retirement Savings Account (Traditional 401k & Roth 401k) Flexible Spending Plan Dependent Care HSA for Medical Expenses Bonus Plan (Exempt Employees Only) Paid Time Off (PTO) Paid Holidays Bereavement Leave Employee Assistance Programs (EAP) Education Assistance Equal Opportunity and Veteran Friendly

Company Details Company URL: ****************************************** Berkley Technology Services (BTS) is the dynamic technology solution for W. R. Berkley Corporation, a Fortune 500 Commercial Lines Insurance Company. With key locations in Urbandale, IA and Wilmington, DE, BTS provides innovative and customer-focused IT solutions to the majority of WRBC's 60+ operating units across the globe. BTS's wide reach ensures that ideas and opinions are considered at every level of the organization to guarantee we find the best solutions possible. Driven by a commitment to collaboration, BTS acts as consultants to our customers and Operating Units by providing comprehensive solutions that not only address the challenge at hand, but proactively plan for the “What's Next” in our industry and beyond. With a culture centered on innovation and entrepreneurial spirit, BTS stands as a community of technology leaders with eyes toward the future -- leaders who truly care about growing not only their team members, but themselves, and take pride in their employees who shine. BTS offers endless ways to get involved and have the chance to grow your career into a wide range of roles you'd never known existed. Come join us as we push forward into the future of industry leading technological solutions. Berkley Technology Services: Right Team, Right Technology, Simple and Secure. Responsibilities This Sr. Data Engineer will be providing data development at an advanced complexity level such as ETL, cube creation, adhoc and management reporting, dashboard and data extract creation. This individual will work within a team environment that provides data resource development and support for several companies. They will be responsible for analyzing, designing and coding solutions for rapidly growing companies supporting the property & casualty insurance industry. Requires an in depth understanding of insurance related reporting and insurance company operations Demonstrates a robust understanding of all the business data processes/processing, system interfaces, and where/how that data is used, and the related data structures Design and implementation of ETL process, data structure and the analytical/operational reporting environment Can design significant new system functionality with a consideration of performance, stability, and supportability Thorough understanding of industry best practices. Includes but not limited to modeling, workflow and presentation Design and implement data extracts both inbound and outbound for internal and external sources Requires strong organizational and communication skills Demonstrates problem-solving skills that span the application, middleware, and infrastructure levels - thorough upstream/downstream impact analysis Assists in defining standards and design patterns/paradigms for data processes and/or structures for development within a team Provides guidance on BTS development standards and quality expectations to BTS or company resources entering the job family Demonstrates understanding of data processes and/or structures Will be required to communicate directly with employees at all levels up to the senior level, within company and client companies Will provide mentorship to others Will develop sphere of influence with other teams Will be required to communicate and coordinate within the team May be responsible for on-call rotation Some travel required up to 20% Qualifications 10 + years - reasonable single system / single technology knowledge 10 + years SQL experience. (queries, stored procedures, functions) Must have demonstrated the capability of meeting the key accountabilities, or have the ability to learn/perform them A self-motivated individual with a passion for success Needs to be able to determine how changes impact customer and other systems Excellent communication and organizational skills Ability to work in a fast-paced team environment Ability to quickly adapt and learn new technologies Ability to work independently Strong customer and business focus Behavioral Core Competencies Technically Astute Managing Information Customer Service Oriented Business Knowledge Influential Conceptual Thinking Bachelor's degree with emphasis in related field or equivalent experience. The Company is an equal employment opportunity employer. Sponsorship Details Sponsorship not Offered for this Role

Job Purpose: Responsible for creating and modifying moderate to complex Extract, Transform, and Load (ETL) processes. Ensure reliability, stability, and performance of ETL environment. Design, develop, troubleshoot, and maintain ETL processes. Essential Functions: 1. Performs design, development, debugging, and maintenance of ETL processes. Identify, understand, and translate development requirements into technical solutions. Monitor ETL processes to ensure reliability and data availability. 2. Performs unit testing and regression testing as needed to ensure ETL processes are functioning according to requirements. Relies on experience and judgment to plan and accomplish goals and in resolving problems and technical issues. 3. Assists in development of standards and procedures for the management, design, and maintenance of the ETL environment. 4. Maintains knowledge of ETL tools and processes; including changes in technology and potential impact to department and makes appropriate recommendations. 5. Performs other duties as assigned. Requirements: Education: Bachelor's degree in computer science, management information systems or related field or equivalent experience. Experience: 3+ years of experience in ETL development with Talend, SSIS, Informatica, Python, or similar ETL tool (Talend preferred). Strong understanding of relational databases, with a preference for expertise in MS-SQL. Proficiency in the fundamentals of data pipelining, ELT/ETL processes, and the overall data lifecycle, complemented by strong problem-solving and analytical skills to gather and interpret data, identify trends, and translate findings into efficient data workflows and solutions. Knowledge of agile SDLC methodologies. Strong verbal, written, and interpersonal skills required, including ability to convey technical issues to non-technical audience. Mental Demands: Ability to gain understanding of tools, technologies, languages and techniques as required for assigned environments. Ability to research and solve development and application problems with little assistance. Ability to focus on tasks for extended periods of time. Must be flexible and have the ability to work with a variety of tasks and employees. Ability to plan, organize, be detail and deadline oriented and maintain a high accuracy rate. Physical Demands: Continuous sitting for extended periods of time, some standing, walking, bending and reaching. Frequent use of fingers and hands to manipulate computer, telephone and other office equipment. Ability to be able to look and concentrate at a computer screen/monitor for extended periods of time.

***************** is planning to bring a million developers and a billion users onchain. We need your help to make that happen. At Base, we live by ourhttps://x.com/jessepollak/status/***********32673997, where our team rises to the challenge, embraces hard weeks, and makes small to significant personal tradeoffs when necessary to drive impact and innovation. 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:* * Conduct analysis and deep dives on ambiguous problems for our business. Your work will result in insights and recommendations that guide the team's decision making. * Act as owner for a broad scope of data and metrics, from core logging to presentation of data visualizations. * Guide code reviews, provide SQL and Python expertise, and create well-maintained ETL jobs. * Maintain a high bar for statistical rigor on your team. Ensure that we're conducting experimentation and causal analyses that build confidence with your stakeholders. *What we look for in you:* * A BA/BS in a quantitative field (ex Math, Stats, Physics, or Computer Science) with ≥5+ years of relevant experience or a PhD in a quantitative field with with ≥3+ years of relevant experience * Demonstrated experience in driving impactful data science projects that tackle ambiguous problem spaces. * Ability to influence external stakeholders by synthesizing data learnings into compelling stories. * Practical expertise in applying complex modeling frameworks to practical business problems. * Professional experience using SQL and Python. * Experience working with digital products in an iterative development cycle. * 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 *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: $180,370-$212,200 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 **************************************************************** 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.

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

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

CCG Talent Management is not only a business solutions company but a company that believes success starts with the individual. CCG Business Solutions has been consulting and providing talent placement services since 2007. Our team understands the principles of connecting purpose to business. We are currently recruiting for a Data Scientist (Python, Power BI, Databricks, SQL, data modeling, R, Javascript, MondoDB). Job Description As a Data Scientist, you will join a client team leveraging petabyte-scale datasets for advanced analytics and model building to enable intelligent, automated equipment and improved decisions by farmers. The client team partners with product managers and data engineers to design, scale, and deliver full-stack data science solutions. You will join a passionate team making a difference by applying innovative technology to solve some of the world's biggest problems. Responsibilities Communicate with impact your findings and methodologies to stakeholders with a variety of backgrounds. Work with high-resolution machine and agronomic data in the development and testing of predictive models. Develop and deliver production-ready machine learning approaches to yield insights and recommendations from precision agriculture data Define, quantify, and analyze Key Performance Indicators that define successful customer outcomes. Work closely with the Data Engineering teams to ensure data is stored efficiently and can support the required analytics. Qualifications Demonstrated competency in developing production-ready models in an Object-Oriented program language such as Python. Demonstrated competency in using data-access technologies such as SQL, Spark, Databricks, BigQuery, MongoDB, etc. Experience with Visualization tools such as Tableau, PowerBI, DataStudio, etc. Experience with Data Modeling techniques such as Normalization, data quality, and coverage assessment, attribute analysis, performance management, etc. Experience building machine learning models such as Regression, supervised learning, unsupervised learning, probabilistic inference, natural language modeling, etc. Excellent communication skills. Able to effectively lead meetings, document work for reproduction, write persuasively, communicate proofs-of-concept, and effectively take notes. Additional Qualifications Additional experience with other languages such as R, JavaScript, Scala, etc. Examples of professional work such as publications, patents, a portfolio of relevant project work, etc. Familiarity with Distributed Datasets Experienced with a variety of data structures such as time series, geo-tagged, text, structured, and unstructured. Experience with simulations such as Monte Carlo simulation, Gibbs sampling, etc. Experience with model validation, measuring model bias, measuring model drift, etc. Experience collaborating with stakeholders from disciplines such as Product, Sales, Finance, etc. Ability to communicate complex analytical insights in a manner that is understandable by non - technical audiences. Additional Information Salary: $55.00 - $58.00 + Bonus + Relocation All your information will be kept confidential according to EEO guidelines.

At Emerson, we pride ourselves on our industry-leading control valve portfolio, featuring top brands like Fisher, Sempell, and Crosby. These brands power the world through a wide range of applications across various industries, from refining and hydrogen to nuclear power. By joining our Supply Chain Digitalization team, you'll become part of an almost 150-year legacy that began with William Fisher in 1880 and help us take the next steps into the future by harnessing statistical analytics and emerging technologies to deliver products to customers faster and with greater certainty. We're looking for someone who is eager to take these next steps with us and make a significant impact on our operations. If this sounds like the perfect opportunity for you, we encourage you to apply and become a vital part of our team. Together, we can continue to drive innovation and excellence in the industry. Relocation assistance available. We look forward to hearing from you! In This Role, Your Responsibilities Will Be: * Use statistics, programming, modeling, and related analytics to extract actionable insights from complex operations and supply chain data. * Develop 'proof of concept' models for advanced supply chain and operations tools to optimize cost and performance. * Support implementation of 'proof of concept' models into enterprise operations, through testing, validation, planning, and cross functional collaboration with stakeholders. * Support management decision-making with data-driven analytics. Who You Are: You break down objectives into appropriate initiatives and actions. You persist in accomplishing objectives despite obstacles and setbacks. You step up to conflicts, seeing them as opportunities. You delegate and distribute assignments and decisions appropriately. You create milestones to rally support behind the program. For This Role, You Will Need: * Bachelor's degree and 3 + years in data science, statistics, or related field or PhD * Legal Authorization to work in the United States - sponsorship will not be provided for this role Preferred Qualifications That Set You Apart: * Advanced Degree in related field preferred * Experience in supply chain, operations or related disciplines * Experience with Power BI, Python, Oracle, machine learning models, ML model training algorithms, agentic AI, and similar Our Culture & Commitment to You: At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives-because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results. We recognize the importance of employee wellbeing. We prioritize providing flexible, competitive benefits plans to meet you and your family's physical, mental, financial, and social needs. We provide a variety of medical insurance plans, with dental and vision coverage, Employee Assistance Program, 401(k), tuition reimbursement, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave. #LI-AN1