Senior data scientist jobs in Sioux Falls, SD - 432 jobs

Johnston, IA - candidate living within 50-mile radius of location required onsite T/W/TH each week. Project Scope and Brief Description: 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. The contractor 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. Responsibilities: 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; autoscale 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. Skills / Experience: Must‑Have 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. Nice‑to‑Have 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. Soft Skills Strong stakeholder communication and the ability to translate biology & process constraints into CV requirements; comfortable triaging and prioritizing rapidly in active programs. Ownership mindset around documentation, reproducibility, and IP‑aware sharing. Curious and learning mindset Technical leadership experience.

Role: Data Governance Lead Full-Time Role Work Model: Hybrid Duration: Permanent Main Duties/Responsibilities Define and operate the data governance policies that support multiple data domains. Implement the data governance and master data management vision using MS Purview, Databricks Unity Catalog and Profisee, promoting the role of governance and enforcing policy, while following data governance best practices. Develop and communicate Data Governance policies to all relevant stakeholders, and provide training and guidance as needed in concert with our Learning and Development (L&D) team. Provide authority for all Data Governance oversight and support for Asset Management to ensure awareness across the organization and drive decisions for data standards and policies. Understand various data storage solutions, including extract, load and transform technologies built using our Databricks Lakehouse architecture on MS Azure, working with the Data Engineering team as needed. Collaborate with data engineers, data scientists, and business units to help solve their analytical needs and ensure data quality and consistency. Oversee the processes, policies, and standards organizations use to manage their data, and ensure compliance with internal and external regulations and requirements. Monitor and measure the effectiveness and maturity of the data governance program, and report on key performance indicators and metrics. Identify and implement opportunities for improvement and innovation in data governance. Required Qualifications A bachelor's degree in computer science, information systems, business administration, or a related field. At least 5 years of experience in data governance, data quality, data management, or a similar role. Knowledge of data governance frameworks, principles, and methodologies. Experience with data governance tools, such as data catalogs, data dictionaries, data lineage, data quality, and data security. Strong communication, collaboration, and leadership skills, with the ability to influence and drive change across the organization. Analytical and problem-solving skills, with the ability to identify and resolve data issues and risks. A passion for data and a desire to continuously learn and improve. Comfortable working in a high volume, fast-paced, rapidly changing, results-oriented work environment. Preferred Qualifications Experience with project management and scrum tools in an Agile environment, especially those in the MS Azure stack (Azure DevOps). Experience working with Unity Catalog, MS Purview, and/or Profisee Experience working with offshore contractor resources Experience presenting data for C-level stakeholders. Dexian stands at the forefront of Talent + Technology solutions with a presence spanning more than 70 locations worldwide and a team exceeding 10,000 professionals. As one of the largest technology and professional staffing companies and one of the largest minority-owned staffing companies in the United States, Dexian combines over 30 years of industry expertise with cutting-edge technologies to deliver comprehensive global services and support. Dexian connects the right talent and the right technology with the right organizations to deliver trajectory-changing results that help everyone achieve their ambitions and goals. To learn more, please visit ******************** Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.

WHO WE ARE This position is eligible for a hybrid (both remote and onsite) telework arrangement. Candidate's permanent residence must be in Minnesota or Wisconsin. We are the Metropolitan Council, the regional government for the seven-county Twin Cities metropolitan area. We plan 30 years ahead for the future of the metropolitan area and provide regional transportation, wastewater, and housing services. More information about us on our website. We are committed to supporting a diverse workforce that reflects the communities we serve. Metropolitan Transportation Services conducts planning for the regional transportation system that includes highways, transit, aviation, freight, and bicycle and pedestrian connections. The Metropolitan Council is the region's federally designated Metropolitan Planning Organization. How your work would contribute to our organization and the Twin Cities region: The Data Scientist will support multi-modal transportation planning in the Minneapolis and St. Paul region through innovative approaches to collecting and analyzing transportation data and the development and application of cutting-edge travel forecasting models and analysis tools. The Data Scientist will join a vibrant travel research and modeling team working on travel demand forecasting, travel behavior surveys, and creative analysis of all kinds of transportation data to drive planning and policy analysis. What you would do in this job Perform technical, statistical, and analytic tasks that support long-range transportation planning and research on regional transportation issues (for example: emerging transportation modes and technologies, generational changes in travel behavior, disparities in transportation access). Develop visualizations of transportation data and performance measures. Develop and apply cutting-edge transportation models that assess the region's future. Develop transportation forecasts at the regional, corridor, and project level. Improve workflows across the department by developing applications, processes, and analyses for all sorts of data. Process, clean, and code transportation data. Analyze, examine, and visualize spatial information in static and interactive maps. Perform geocoding, spatial data manipulation, and spatial data analysis. Collaborate with planners, researchers, and policy makers. Develop public-facing reports and web-based, interactive data visualization, analysis, and dissemination tools in partnership with internal and external partners. Respond to requests for data and information, including requests from the media, other Council staff, or local partners by summarizing data in a clear, coherent manner. Be a contributory team member in a multi-disciplinary team. Make presentations to the Transportation Committee and other Council advisory and technical committees, as needed. Review scholarly articles and technical papers in academic and industry databases/journals. Promote a culture of creativity, life-long learning, and continuous improvement. Promote a culturally diverse and inclusive work environment that advances racial equity. What education and experience are required for this job (minimum qualifications) Any of the following combinations in completed education (degree field of study in Mathematics, Analytics, Data Science, or related field) and experience (in statistical and/or machine modeling and/or developing web-based interactive data visualization tools): High school diploma/GED with seven years of experience Associate degree with five years of experience Bachelor's degree with three years of experience Master's degree with one year of experience What additional skills and experience would be helpful in this job (desired qualifications): Experience performing and communicating data analysis and statistical modeling of transportation data Experience working with transportation data and models Experience in programming and modeling languages (R or Python preferred) Experience in data mining; passive and/or "big" data; structured, unstructured, and semi-structured data Experience working and collaborating in diverse, multicultural, and inclusive environments. What knowledge, skills and abilities you should have within the first six months on the job: Knowledge of statistical analysis techniques (regression analysis, survival analysis, time-series modeling, etc.) Knowledge of database systems design and maintenance Knowledge of web-based interactive tool development Knowledge of computer programming (i.e. R, Python) Knowledge of passive transportation (i.e. Streetlight Data) and transportation survey data Skills in applied mathematics and statistics Skills in data visualization (i.e. 'ggplot2' package in R, Shiny, Tableau, Dash/Plotly in Python) Skills in version control and collaboration in Git Skills in data mining with structured, unstructured, and semi structured data Skills in GIS/Spatial analysis (i.e. ArcGIS, QGIS, ArcPy, Geopandas) Ability to read and understand complex academic and technical papers Ability to write summary reports, technical papers, and literature reviews Ability to synthesize technical information in a useable way that facilitates good policy and planning decisions Ability to plan workflow and prioritize work tasks Ability to establish and maintain effective working relationships with internal and external stakeholders Ability to exercise sound professional judgment and promote an equitable, positive, and respectful professional environment What you can expect from us: We offer the opportunity to make a difference and positively influence the Twin Cities metropolitan area. We encourage our employees to develop their skills through on-site training and tuition reimbursement. We provide a competitive salary, excellent benefits and a good work/life balance. More about why you should join us! Additional information Union/Grade: AFSCME/Grade G FLSA Status: Exempt Safety Sensitive: No What your work environment would be: You would perform your work in a standard office setting. What steps the recruitment process involves: We review your minimum qualifications. We rate your education and experience. We conduct a structured panel interview. We conduct a selection interview. Once you have successfully completed the steps above, then: If you are new to the Metropolitan Council, you must pass a drug test (safety sensitive positions only) and a background check which verifies education, employment, and criminal history. A driving record check and/or physical may be conducted if applicable to the job. If you have a criminal conviction, you do not automatically fail. The Metropolitan Council considers felony, gross misdemeanor and misdemeanor convictions on a case-by-case basis, based on whether they are related to the job and whether the candidate has demonstrated adequate rehabilitation. If you are already an employee of the Metropolitan Council, you must pass a drug test (if moving from a non-safety sensitive position to a safety sensitive position) and criminal background check if the job you're applying for is safety sensitive, is a supervisory or management job, is in the Finance, Information Services, Audit, or Human Resources departments, or has access to financial records, files/databases, cash, vouchers or transit fare cards. A driving record check and/or physical may be conducted if applicable to the position. IMPORTANT: If you make a false statement or withhold information, you may be barred from job consideration. The Metropolitan Council is an Equal Opportunity, Affirmative Action, and veteran-friendly employer. The Council is committed to a workforce that reflects the diversity of the region and strongly encourages persons of color, members of the LGBTQ community, individuals with disabilities, women, and veterans to apply. If you have a disability that requires accommodation during the selection process, please email .

On-Demand Group is currently seeking for a Data Engineer for a 6-month contract engagement to start. Job Title: Data Engineer Job Location: On-site - any 4 office location, Minneapolis, MN, Arlington, VA, Portland, OR, Raleigh, NC Job Type: Contract to Hire Job Summary: The Senior Cloud Data Engineer plays a key role in designing, building, and maintaining data pipelines and infrastructure using Google Cloud Platform (GCP) BigQuery. The incumbent will collaborate with data analysts, data scientists, and other engineers to ensure timely access to high-quality data for data-driven decision-making across the organization. Responsibilities: • Design, develop, and implement data pipelines using GCP BigQuery, Dataflow, and Airflow for data ingestion, transformation, and loading. • Optimize data pipelines for performance, scalability, and cost-efficiency. • Ensure data quality through data cleansing, validation, and monitoring processes. • Develop and maintain data models and schemas in BigQuery to support various data analysis needs. • Automate data pipeline tasks using scripting languages like Python and tools like Dataflow. • Collaborate with data analysts and data scientists to understand data requirements and translate them into technical data solutions. • Leverage DevOps Terraform (IaC) to ensure seamless integration of data pipelines with CI/CD workflows. • Monitor and troubleshoot data pipelines and infrastructure to identify and resolve issues. • Stay up-to-date with the latest advancements in GCP BigQuery and other related technologies. • Document data pipelines and technical processes for future reference and knowledge sharing. Basic Requirements: • Bachelor's degree or equivalent experience in Computer Science, Mathematics, Information Technology or related field. • 5+ years of solid experience as a data engineer. • Strong understanding of data warehousing / datalake concepts and data modeling principles. • Proven experience with designing and implementing data pipelines using GCP BigQuery, Dataflow and Airflow. • Strong SQL and scripting languages like Python (or similar) skills. • Experience with data quality tools and techniques. • Ability to work independently and as part of a team. • Strong problem-solving and analytical skills. • Passion for data and a desire to learn and adapt to new technologies. • Experience with other GCP services like Cloud Storage, Dataflow, and Pub/Sub etc. • Experience with cloud deployment and automation tools like Terraform. • Experience with data visualization tools like Tableau or Power BI or Looker. • Experience with healthcare data. • Familiarity with machine learning, artificial intelligence and data science concepts. • Experience with data governance and healthcare PHI data security best practices. • Ability to work independently on tasks and projects to deliver data engineering solutions. • Ability to communicate effectively and convey complex technical concepts as well as tasks / project updates. The projected hourly range for this position is $70 to $80. On-Demand Group (ODG) provides employee benefits which includes healthcare, dental, and vision insurance. ODG is an equal opportunity employer that does not discriminate on the basis of race, color, religion, gender, sexual orientation, age, national origin, disability, or any other characteristic protected by law.

Akkodis is seeking a Sr. Data Engineer for Direct Hire/ Full Time position with our Direct Client located in Omaha, NE (Hybrid). Pay Range: $120k- $130k/Annum; The rate may be negotiable based on experience, education, geographic location, and other factors. Job Description: The primary responsibilities of a Data Engineer are to focus on building our data lake using Databricks, Synapse Analytics and Azure Data Factory in the Azure ecosystem. In this role you will work with a team of developers, data product owners, scrum masters, business analysts and business customers in an agile environment. You will participate in the entire software development lifecycle, including: working with various departments on requirements gathering, translating business requirements into detailed system and technical requirements, functional and technical design, development, testing, deployment, and support. You will contribute to all data management aspects, including data governance, data quality management, master data management, enterprise data integration by analyzing raw data, writing data pipelines in Azure Data Factory, SQL, Python, and Spark, and solving data issues as they arise during development and after deployment. Must have skillset is Azure Databricks, Azure Data Factory, Python, PySpark The Data Engineer is expected to: Design, develop and implement scalable batch/real-time data pipelines to integrate data from a variety of sources into an Azure data warehouse and data lake Partner with analytics and actuarial team to understand the current use cases and supply clean and consistent data models Build consistent data models that act as the source of truth for all metrics within the company Identify data needs & build comprehensive business intelligence solutions to help the team make faster & better decisions, backed by data Handle ad hoc data and analytics requests, while addressing long-term stakeholder needs and driving insights for the executive leadership team Proactively manage stakeholder expectations, monitor and manage data integrity, and resolve data issues Create and maintain technical documentation. Guide and deliver meaningful and thorough code reviews. Design, code, test, document, and troubleshoot deliverables Maintain awareness of and ensure adherence to the standards regarding security and privacy. Ability to perform Data Analysis and Data Quality tests and create audits for the ETLs. Perform Continuous Integration and deployment using Azure DevOps and git Must be a very good communicator and should be analytically sound Create and maintain optimal data pipeline/flow architecture. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Qualifications Education: Bachelor's degree or equivalent work experience required. Experience: 3+ Years similar work experience Knowledge Requirements: Experience/familiarity with tools like Azure Databricks, Azure Synapse Analytics and Azure Data Factory, Delta Lake, Parquet, and Spark SQL Experience with Data Lakes, Data Warehouse Concepts, and Dimensional Data Models. Experience with Tableau, Power BI, Qlik or similar as visualization tool development Experience building and maintaining production data pipelines, ETL, or databases Good written and verbal communication skills Experience in SQL - Python, Powershell and Spark helpful but not necessary Experience working with Microsoft BI stack (SSIS/SSRS/SSAS) and Microsoft SQL Server. If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, please contact Ayush Garg at ************ or ***************************. Equal Opportunity Employer/Veterans/Disabled Benefit offerings include medical, dental, vision, term life insurance, short-term disability insurance, additional voluntary benefits, commuter benefits, and a 401K plan. Our program provides employees the flexibility to choose the type of coverage that meets their individual needs. Available paid leave may include Paid Sick Leave, where required by law; any other paid leave required by Federal, State, or local law; and Holiday pay upon meeting eligibility criteria. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs which are direct hire to a client. To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit ****************************************** The Company will consider qualified applicants with arrest and conviction records.

Empowered to live. Inspired to work. Compeer Financial is a member-owned cooperative located in Illinois, Minnesota and Wisconsin. We bring together team members with a variety of backgrounds and experiences to help provide financial services to support agriculture and rural communities. Join us in a culture that not only promotes meaningful work and professional development, but provides a flexible, hybrid work environment and excellent benefits, which empower you to thrive both personally and professionally. How we support you: Hybrid model - up to 50% work from home Flexible schedules including ample flexibility in the summer months Up to 9% towards 401k (3% fixed Compeer contribution plus up to 6% match) Benefits: medical, dental, vision, HSA/FSA, life & AD&D insurance, short-term and long-term disability, wellness program & EAP Vacation, sick leave, holidays/floating holidays, parental leave, and volunteer paid time off Learning and development programs Mentorship programs Cross-functional committee opportunities (i.e. Inclusion Council, emerging professional groups, etc.) Professional membership/certification reimbursement and more! Casual/seasonal & intern team members are not eligible for benefits except for state-mandated programs. To learn more about Compeer Financial visit************************ This position offers a hybrid work option up to 50% remote and is based out of the Mankato, MN; Lakeville, MN; Bloomington, IL office. The contributions you will make: This position is responsible for building advanced analytics tools that utilize the data pipeline to provide actionable, high-impact insights for decision making. Delivers processed data to end-users, including business intelligence analysts and business stakeholders who consume the data via interactive dashboards, reports and other tools. Works cross-functionally to define analytical requirements, ensuring that data solutions effectively empower informed, data-driven decision-making across departments. Serves as a subject matter expert, providing technical guidance and support to less tenured team members. A typical day: Data Engineering Develops complex data models and data pipelines for research, reporting and machine learning. Conceptualizes and generates infrastructure that allows data to be accessed and analyzed. Maintains and optimizes the performance of the data User Interface layer to ensure accurate, reliable and timely delivery of key insights for decision making. Models data sources to help draw a more comprehensive picture of the data that enables powerful data analysis and reporting. Leads the development and execution of new concepts and proof of concept designs. Conducts research to answer business questions related to data and the data warehouse. Employs a variety of SQL languages to bring data from multiple systems together into the user interface layer. Generates automated, repeatable and stable processes to support business requests in the user interface layer. Proactively identifies and resolves data integrity issues between the data warehouses and the original data sources. Continuous Improvement and Best Practices Stays current on trends and industry best practices, proactively incorporating new insights into the design, implementation and improvement of internal processes improvements. Drives the automation of manual processes and the optimization of data delivery and quality. Works cross-functionally with Data and Business Technology teams to formulate best practices. Evaluates emerging tools, platforms and methodologies. Fosters innovation and drives the adoption of new technologies that enhance team and operational effectiveness. Advances strategic initiatives by providing thought leadership and building alignment around long-term data strategy. Industry Knowledge and Training Facilitates meetings with Data, Project Delivery and/or business unit team members. Supports and trains other team members, acting as a subject matter expert for more complex technical issues and guiding less tenured team members on problem resolution. The skills and experience we prefer you have: Bachelor's degree in math, computer science, management information systems, or related field or an equivalent combination of education and experience sufficient to perform the essential functions of the job. Minimum of 7 years of experience with various MS SQL environments (2017 and above), designing and implementing objects using SQL Server Data Tools. SQL Server and/or other Microsoft technologies preferred. Advanced SQL server knowledge of T-SQL and OLTP topics such as normalization, data types, query tuning, indexing, constraints and query plans, etc. Advanced knowledge and experience in Cloud computing (MS Azure). Solid experience working in Microsoft Fabric. Advanced knowledge and experience in creating stored procedures, views, functions, T-SQL, SQL Scripting. Solid experience with data warehouses, APIs, ETL scripting and SQL scripting, Python, R-Script, PySpark, Notebooks. Advanced knowledge of SQL Reporting Services (SSRS) or comparable reporting tools experience. Ability to translate highly technical information into non-technical terms. Solid experience with software deployment, version control, and build automation (CI/CD pipelines). Strong listening, written and verbal communication skills, with ability to communicate at all levels of the organization. Provides thought and change leadership with the ability to influence cross-functional stakeholders to drive strategic initiatives. Effective interpersonal, analytical, organizational and planning skills. Ability to apply a methodical and logical approach to problem solving. Quick learner who thrives in a collaborative team environment. Ability to foster collaborative working relationships across the organization. Demonstrates initiative to remain technically competent by keeping abreast of industry best practices. Ability to work independently and collaboratively with other teams to achieve goals and represent the business. #IND100 How we will take care of you: Our job titles may span more than one career level (associate, senior, principal, etc.). The actual title and base pay offered is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role is eligible for variable compensation and other benefits. Base Pay$92,100-$139,500 USD Compeer Financial is an equal opportunity employer and 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. Must be authorized to work for any employer in the United States. Compeer is unable to sponsor or take over sponsorship of an employment visa at this time. Click here to view federal employment laws applicable for applicants.

Argo Group International Holdings, Inc.and American National, US based specialty P&C companies, (together known as BP&C, Inc.) are wholly owned subsidiaries of Brookfield Wealth Solutions, Ltd. ("BWS"), a New York and Toronto-listed public company. BWS is a leading wealth solutions provider, focused on securing the financial futures of individuals and institutions through a range of wealth protection and retirement services, and tailored capital solutions. Job Description We're seeking a highly analytical Senior Data Analyst with strong P&C insurance experience to elevate our compliance and data capabilities. You'll own the end-to-end process of transforming complex policy, claims and financial data into accurate, timely regulatory filings. This role blends Data Analysis, Data Engineering, and Actuarial insight, ideal for someone who thrives on solving data challenges with real business impact. What You'll Do Interpret regulatory requirements and break them into clear data needs Analyze underwriting, policy, claims, and financial data to ensure completeness, accuracy, and compliance Partner closely with Applications, MGA Operations, Data Analysis, Data Engineering, Compliance, and Underwriting teams to resolve data issues Learn the ins and outs of various data models by collaborating with application experts Design and implement data enrichment solutions Model reference data Build and optimize data pipelines Reconcile data extractions with Annual Statement Support data calls, tax reporting, audits and ad-hoc regulatory requests What We're Looking For Bachelor's degree in Data Science, Statistics, Business Analytics, Computer Science, Actuarial Science or a related field. Master's degree preferred. 5+ years in data analysis within Property & Casualty Insurance industry, with a focus on regulatory compliance reporting. Experience with Insurance Operations and Statutory Accounting, across policy, claims, underwriting, or financial domains. Strong skills in SQL, data engineering, and exploratory data analysis. Actuarial mindset or experience working with Actuarial teams Strong communication skills and the ability to work across technical and business teams Exposure to data calls and regulatory reports like NISS CLSP, NISS AQR, TX ISO CLSP, MCCA Annual Assessment, TRIA and SFAA You thrive in a fast-paced environment and handle shifting priorities like a pro. Nice to Have Experience with Snowflake and Python Associate in Regulation and Compliance Designation Why Join Us Your work will have a direct impact on ensuring we meet industry standards while staying efficient and innovative Opportunity to shape how we handle regulatory compliance reporting for the future Collaborative and supportive environment The base salary range provided below is for hires in those geographic areas only and will be commensurate with candidate experience. Pay ranges for candidates in other locations may differ based on the cost of labor in that location. In addition to base salary, all employees are eligible for an annual bonus based on company and individual performance as well as a generous benefits package. New York City - $136.9k - $163k Chicago - $125.5k - $149.2k Richmond, San Antonio and Omaha - $114.1k - $135.7k PLEASE NOTE: Applicants must be legally authorized to work in the United States. At this time, we are not able to sponsor or assume sponsorship of employment visas. If you have a disability under the Americans with Disabilities Act or similar state or local law and you wish to discuss potential reasonable accommodations related to applying for employment with us, please contact our Benefits Department at . Notice to Recruitment Agencies: Resumes submitted for this or any other position without prior authorization from Human Resources will be considered unsolicited. BWS and / or its affiliates will not be responsible for any fees associated with unsolicited submissions. We are an Equal Opportunity Employer. We do not discriminate on the basis of age, ancestry, color, gender, gender expression, gender identity, genetic information, marital status, national origin or citizenship (including language use restrictions), denial of family and medical care leave, disability (mental and physical) , including HIV and AIDS, medical condition (including cancer and genetic characteristics), race, religious creed (including religious dress and grooming practices), sex (including pregnancy, child birth, breastfeeding, and medical conditions related to pregnancy, child birth or breastfeeding), sexual orientation, military or veteran status, or other status protected by laws or regulations in the locations where we operate. We do not tolerate discrimination or harassment based on any of these characteristics. The collection of your personal information is subject to our HR Privacy Notice Benefits and Compensation We offer a competitive compensation package, performance-based incentives, and a comprehensive benefits program-including health, dental, vision, 401(k) with company match, paid time off, and professional development opportunities.

VIDA Diagnostics is a leading player in the field of medical imaging data analytics, dedicated to supporting cutting-edge medical research through advanced data-driven solutions. We are seeking a highly skilled Senior Data Scientist to lead our data discovery and experimentation design efforts in collaboration with internal and external partners. If you are passionate about accelerating scientific discovery through data-driven insights, we want to hear from you. This position can be flexible on location of candidate within the United States. Position Overview: As the Senior Data Scientist, you will play a crucial role in our dynamic team, responsible for designing, developing, and optimizing data platforms and algorithms that drive groundbreaking insights into the field of medical research. You will work in close collaboration with imaging analysts, scientists, data and software engineers to develop and implement data analysis solutions and that advance scientific knowledge and innovation. Key Responsibilities: Research Hypothesis Definition: Formulate and refine research hypotheses to extract meaningful insights from a vast medical imaging and measurements data lake. Data Exploration and Analysis: Conduct in-depth data exploration and analysis using advanced statistical techniques and machine learning algorithms. Model Development and Evaluation: Build, train, and evaluate state-of-the-art machine learning models, including deep learning architectures, to address specific research questions and clinical challenges. AI/ML Solution Development: Contribute to the development and evaluation of AI/ML solutions that have a significant impact on clinical trials with relevant metrics. Cloud Operations: Collaborate with cloud engineers to deploy and manage machine learning models in a scalable and efficient cloud environment. Mentorship and Collaboration: Provide guidance and mentorship to other scientists in the team and collaborate effectively with cross-functional teams. Required Qualifications: Bachelor's in Computer Science, Statistics, Data Science, or a related field. Proven expertise in Python programming, common machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Experience in conducting independent research and publishing scientific papers. Expertise in big data technologies, including Lakehouse architectures, Trino, Data Bricks Delta, efficient querying and distributed computing. Ability to analyze complex problems, identify solutions, and communicate findings effectively. Excellent interpersonal and communication skills to work effectively in a collaborative team environment. Preferred qualifications: Master's degree or Ph.D. in Computer Science, Statistics, Data Science, or a related field. A solid understanding of medical imaging and measurements data, including relevant clinical concepts and methodologies. Excellent knowledge of main branches of AI (GenAI, DL, ML, RL) Experience with Cloud infrastructures (AWS, GCP, Azure). Experience with Docker, Kubernetes, MLFlow and Argo. All VIDA employees expected to be flexible and have an entrepreneurial mindset. Other duties may be assigned as needed. VIDA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, veteran's status, age or disability.

Organizational Location: This position is with the Department of Homeland Security, within U.S. Customs and Border Protection, Office of Human Resources Management, People Analytics Division, in the following locations: * Indianapolis, IN * Minneapolis, MN * Washington D.C. Salary: Salary listed reflects the rest of U.S. scale and, if applicable, will be adjusted to meet the locality pay or cost of living expenses of the duty location upon selection. Summary Organizational Location: This position is with the Department of Homeland Security, within U.S. Customs and Border Protection, Office of Human Resources Management, People Analytics Division, in the following locations: * Indianapolis, IN * Minneapolis, MN * Washington D.C. Salary: Salary listed reflects the rest of U.S. scale and, if applicable, will be adjusted to meet the locality pay or cost of living expenses of the duty location upon selection. Overview Help Accepting applications Open & closing dates 01/13/2026 to 01/20/2026 Salary $61,722 to - $97,087 per year Pay scale & grade GS 9 - 11 Locations 2 vacancies in the following locations: Washington, DC Indianapolis, IN Minneapolis, MN Remote job No Telework eligible No Travel Required Occasional travel - You may be expected to travel for this position. Relocation expenses reimbursed No Appointment type Permanent Work schedule Full-time Service Competitive Promotion potential 13 Job family (Series) * 1560 Data Science Series Supervisory status No Security clearance Not Required Drug test No Financial disclosure No Bargaining unit status No Announcement number HRM-DE-12863509-SNM Control number 854179100 This job is open to Help The public U.S. Citizens, Nationals or those who owe allegiance to the U.S. Career transition (CTAP, ICTAP, RPL) Federal employees whose job, agency or department was eliminated and are eligible for priority over other applicants. Clarification from the agency U.S. Citizens, Career Transition Assistance Plan DHS employees, Reemployment Priority List, Interagency Career Transition Assistance Plan Federal Employees. Duties Help This position starts at a salary of $61,722.00 (GS-09, Step 1) to $97,087.00 (GS-11, Step 10) with promotion potential to $138,370.00 (GS-13 Step 10). Typical duties include: * Providing technical assistance and support to management through the application of advanced data science techniques including data extraction, transformation, cleaning, modeling, machine learning, and artificial intelligence (AI) to process and extract insights from structured and unstructured data and provide guidance for solutions to a variety of complex challenges to the Agency's Human Capital programs that have a significant impact on personnel decisions. * Supporting the application of quantitative, computer science, mathematical, and statistical skills to interpret extremely large and unstructured data sets, the results of which will be used for forecasting critical problems and making data-driven decisions regarding the administrative and programmatic aspects of HRM and CBP's operations and management. * Assisting in the development of innovative strategies on measurement of the design, development, deployment, maintenance, and enhancement of large-scale projects to analyze programmatic data and forecast the effects of alternative courses of actions and programmatic gaps. * Performing quantitative and qualitative analysis and data quality assurance using statistical, business intelligence, data analysis, and/or AI software and computer programs (e.g., R, Python, ChatGPT, PowerBI, Tableau, Cognos, SQL, Databricks). Requirements Help Conditions of employment * You must be a U.S. Citizen to apply for this position * Males born after 12/31/1959 must be registered with Selective Service * Primary U.S. residency for at least three of the last five years (additional details below) * All pre-employment processes will be conducted in English * You may be required to pass a background investigation * CBP follows the DHS Drug-Free Workplace Plan for drug testing procedures * As an employee of CBP, you will be joining a workforce that is dedicated to accomplishing our mission while maintaining the trust of our Nation by strictly adhering to all government ethics standards. Your conduct will be subject to the ethics rules applicable to all Executive Branch employees, and to CBP employees specifically, as well as the criminal conflict of interest statutes. Once you enter on duty, these rules include obtaining approval for outside employment or business activity, to ensure such employment or business activity is not prohibited and does not interfere or conflict with performance of your official duties. Please review further details via the following link. * DHS uses E-Verify, an Internet-based system, to confirm the eligibility of all newly hired employees to work in the United States. Learn more about E-Verify including your rights and responsibilities. * Bargaining Unit: This position is not covered under the bargaining unit. Qualifications Basic Requirement: You must provide supporting documentation in your application to show you meet the basic requirement below: A. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. OR B. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience. You qualify for this position if you meet the basic requirement listed above and possess the experience as described below: Experience: You qualify for the GS-09 grade level if you possess 1 year of specialized experience equivalent to at least the next lower grade level, performing duties such as: * Performing data quality assurance and quantitative and qualitative analysis using statistical software and programming languages such as R or Python. * Creating reports, briefings, and presentations that include data visualization and dashboards to communicate findings effectively. * Providing technical assistance and support to address challenges in human capital programs, including recruitment, hiring, and retention. * Assisting in the preparation of briefings, presentations, and reports for supervisors and higher-graded specialists to communicate findings and recommendations. * Communicating technical and analytical findings to individuals with varying levels of technical expertise. You qualify for the GS-11 grade level if you possess 1 year of specialized experience equivalent to at least the next lower grade level, performing duties such as: * Applying advanced data science techniques, including data extraction, transformation, cleaning, modeling, machine learning, and artificial intelligence (AI), to process and extract insights from structured and unstructured data. * Gathering, processing, and converting raw and unstructured data into clean, organized information for analysis. * Participating as a team member in the development of innovative strategies for large-scale projects to analyze programmatic data and forecast the effects of alternative courses of action. * Analyzing and interpreting data to identify programmatic gaps and develop solutions to improve organizational efficiency and productivity. * Providing technical assistance and support to address challenges in human capital programs, including recruitment, hiring, and retention. NOTE: Your resume must explicitly indicate how you meet this requirement, otherwise you will be found ineligible. Please see the "Required Documents" section below for additional resume requirements. Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience. You must meet all qualification requirements, including education if applicable to this position, subject to verification at any stage of the application process by 01/20/2026. The Office of Personnel Management (OPM) must authorize employment offers made to current or former political appointees. If you are currently, or have been within the last 5 years, a political Schedule A, Schedule C, Non-career SES or Presidential Appointee employee in the Executive Branch, you must disclose this information to the Human Resources Office. Background Investigation: U.S. Customs and Border Protection (CBP) is a federal law enforcement agency that requires all applicants to undergo a thorough background investigation prior to employment in order to promote the agency's core values of vigilance, service to country, and integrity. During the screening and/or background investigation process, you will be asked questions regarding any felony criminal convictions or current felony charges, the use of illegal drugs (e.g., marijuana, cocaine, heroin, LSD, methamphetamines, ecstasy), and the use of non-prescribed controlled substances including any experimentation, possession, sale, receipt, manufacture, cultivation, production, transfer, shipping, trafficking, or distribution of controlled substances. For additional information on the preemployment process, review the following link: Applicant Resources | CBP Careers Residency: There is a residency requirement for all applicants not currently employed by CBP. Individuals are required to have physically resided in the United States or its protectorates (as declared under international law) for at least three of the last five years. If you do not meet the residency requirement and you have been physically located in a foreign location for more than two of the last five years, you may request an exception to determine if you are eligible for a residency waiver by meeting one or more of the following conditions: * Working for the U.S. Government as a federal civilian or as a member of the military * A dependent who was authorized to accompany a federal civilian or member of the military who was working for the U.S. government * Participation in a study abroad program sponsored by a U.S. affiliated college or university * Working as a contractor, intern, consultant or volunteer supporting the U.S. government Probationary Period: All employees new to the federal government must serve a one year probationary period during the first year of his/her initial permanent federal appointment to determine fitness for continued employment. Current and former federal employees may be required to serve or complete a probationary period. Education Please see the Qualifications and Required Documents sections for more information if education is applicable to this position. Additional information The vacancy questionnaire includes four short, free-response essay questions. This provides an opportunity for you to highlight your dedication to public service for the hiring manager and agency leadership (or designee(s)). While your responses are not required and will not be scored, we encourage you to thoughtfully address each question. Please provide a response of 200 words or less to each question. You will be asked to certify that you are using your own words and did not use a consultant or artificial intelligence (AI) such as a large language model (LLM) like ChatGPT or Copilot. To preview the questionnaire please visit: ******************************************************** Positions with known promotion potential do not guarantee promotion, nor is the promise of promotion implied. The Department of Homeland Security encourages persons with disabilities to apply, to include persons with intellectual, severe physical or psychiatric disabilities, as defined by 5 CFR § 213.3102(u), and/or Disabled Veterans with a compensable service-connected disability of 30 percent or more as defined by 5 CFR § 315.707. Veterans, Peace Corps/VISTA volunteers, and persons with disabilities possess a wealth of unique talents, experiences, and competencies that can be invaluable to the DHS mission. If you are a member of one of these groups, you may not have to compete with the public for federal jobs. To determine your eligibility for non-competitive appointment and to understand the required documentation, click on the links above or contact the Servicing Human Resources Office listed at the bottom of this announcement. Expand Hide additional information Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution. Benefits Help A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new window Learn more about federal benefits. Review our benefits Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered. How you will be evaluated You will be evaluated for this job based on how well you meet the qualifications above. If you meet the minimum qualifications, you will be placed in one of the following categories: * Best Qualified: Applicants possessing experience that substantially exceeds the minimum qualifications of the position and demonstrate high proficiency in all of the critical competencies, including all Selective Placement Factors (SPF), and appropriate Quality Ranking Factors (QRF) as determined by the job analysis. * Well-Qualified: Applicants possessing experience that exceeds the minimum qualifications of the position and demonstrates acceptable proficiency in all of the critical competencies, including all SPF's and appropriate QRFs as determined by the job analysis. * Qualified: Applicants possessing experience that meets the minimum qualifications of the position and demonstrate basic proficiency in most of the critical competencies, including all SPFs and appropriate QRFs as determined by the job analysis. Your resume and supporting documentation will be reviewed to ensure you meet the minimum qualification(s). Your resume must support that you meet both specialized experience requirements described in the qualifications section and are proficient in the skills/competencies. If you meet the minimum qualifications, your experience, education, and training will be rated using a Structured Resume Review process. Your final rating will be based on a Structured Resume Review conducted by Subject Matter Experts (SME). This Structured Resume Review requires that candidates resume must demonstrate the competencies noted below: * Technical Competence * Data Management * Reasoning * Technology Awareness * Data System Failure to demonstrate sufficient detail in the body of your resume may impact your final rating. Please note you are not required to provide specific narrative responses to the skills and competencies described in this section. If you are best qualified, you may be referred to the hiring manager for consideration and may be contacted for an interview. Veterans: Qualified veterans who have a compensable service-connected disability of at least 10% are listed in the best-qualified category, except when the position being filled is scientific or professional at the GS-09 grade level, or higher. This position is considered scientific/professional. Other 10 point preference eligibles and veterans with 5 point preference who meet the eligibility and qualification requirements are placed above non-preference eligibles within the category in which they qualify. View information on veterans' preference. Agency Career Transition Assistance Program (CTAP) and Interagency Career Transition Assistance Program (ICTAP) Eligibles: If you have never worked for the federal government, you are not CTAP/ICTAP eligible. View information about CTAP/ICTAP eligibilityon OPM's Career Transition Resources website. To be considered eligible under CTAP/ICTAP, you must be placed in the Well-Qualified category for this position, as described within this announcement. In addition, you must submit the supporting documents listed under the Required Documents section of this job announcement. Benefits Help A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new window Learn more about federal benefits. Review our benefits Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered. Required documents Required Documents Help * Your resume: A resume describing your job-related qualifications is required and will be used for the purpose of reviewing your qualifications and determining what training, if any, would be required when placed. A resume in English is required. It must contain your full legal name, phone number, relevant work history including a detailed description of your duties, the dates you performed those duties (MM/DD/YY), your hours worked per week, job title, as well as series, grade, and salary (if applicable). For additional required items, see the link above. It is recommended that you upload your resume as a PDF instead of a Word document to ensure document quality. Ensure that your uploaded resume is not a password protected document, to include Office 365 passwords. Limit your resume to no more than two pages. The USAJOBS database will not allow an applicant to submit an application that includes a resume over two pages. * Your responses to the job questionnaire: ******************************************************** * Your transcripts: All applicants are required to submit a copy of your college transcript (unofficial is acceptable at this time; however, official copies will be required prior to entrance on duty) or a list of coursework with hours completed provided from the institution. If you are a current CBP employee within the position series announced, transcripts will not be required at the time of application; however, education will be verified if you are selected and you may be required to submit transcripts at that time. Education must be from an institution accredited by an agency recognized by the U.S. Department of Education. Education obtained from a foreign university or college is not creditable unless it has been evaluated by an organization that specializes in interpretation of education credentials. Note: If submitting documentation of an evaluation, transcripts are still required. For a listing of some accrediting agencies, please see ********************************************************************** See ********************************************************************* for more information. * Are you claiming special priority selection rights under the Agency Career Transition Assistance Program (CTAP), Interagency Career Transition Assistance Program (ICTAP), or the Reemployment Priority List (RPL)? You must submit a separation notice; your most recent SF-50 (noting your current position, grade level and duty location); a copy of your most recent performance rating; an agency certification that you cannot be placed after injury compensation has been terminated; an OPM notification that your disability annuity has been terminated; or a Military Department of National Guard Bureau notification that you are retired under 5 U.S.C. 8337(h) or 8456; or RPL registration documentation. * Are you a veteran? To apply veterans' preference you must submit proof of eligibility as appropriate for your preference type: * Five Point Preference: DD 214 listing the character of service and either qualifying medal(s) or service period. * Ten Point Preference: DD 214 showing character of service and supporting documentation as listed on the Standard Form 15 (application for 10 Point Veterans' Preference). Submitting an SF-15 with your application is encouraged. Veterans with a service-connected disability must also submit a VA Disability Award letter dated 1991 or later, OR supporting documentation as listed in the SF-15. * If you are currently serving on active duty, you must submit a written statement from the armed forces certifying your dates of service, rank, expected character of service, and anticipated date of separation. If you apply with a written statement at this stage, your preference will be verified by a DD 214 upon separation from the military. * View more veterans' information. * Are you a current or former federal employee? If yes, it is recommended that you submit a copy of your SF-50(s) (Notification of Personnel Action) to support your experience. Examples of appropriate SF-50s include promotions, within-grade increases and accessions. Retired former federal employees are required to submit your retirement SF-50 and encouraged to submit your most recent annuity statement. * Are you a current or former political Schedule A, Schedule C, Non-career SES or Presidential Appointee employee? Submit a copy of your initial and termination SF-50s. If you are relying on your education to meet qualification requirements: Education must be accredited by an accrediting institution recognized by the U.S. Department of Education in order for it to be credited towards qualifications. Therefore, provide only the attendance and/or degrees from schools accredited by accrediting institutions recognized by the U.S. Department of Education. Failure to provide all of the required information as stated in this vacancy announcement may result in an ineligible rating or may affect the overall rating.

As a Senior Data Scientist, you will lead high-impact analytics initiatives within our Ads Analytics team. In this manager-level role, you'll guide technical execution, mentor data scientists, and collaborate across teams to deliver insights that shape our advertising ecosystem. You'll dive deep into experimental design, predictive modeling, and Bayesian statistics-while also helping build scalable analytics infrastructure and AI-powered tools. If you love solving complex problems and translating data into clear, actionable strategies, this is the role for you. What You'll Do Lead analytics projects focused on ad performance, client measurement, and experimentation. Design and oversee experiments to evaluate product impact and optimize advertising outcomes. Build forecasting models and apply Bayesian frameworks to support strategic decisions. Develop scalable data pipelines and reporting tools across cloud platforms. Communicate insights through clear, compelling visualizations for technical and non-technical audiences. Mentor junior data scientists and foster technical excellence across the team. Basic qualifications 4+ years of experience in data science roles focused on advertising, marketing analytics, or client measurement, with a strong ability to connect data insights to business strategy. 2+ years of experience in experimental design, statistical modeling, and causal inference, with a conceptual understanding of how these methods support decision-making and business impact. Proficient in Python or R and SQL, with 1+ years of experience writing code that supports both analytical rigor and scalable data workflows. 1+ year of experience working within cloud-based data environments (e.g., GCP, AWS, Azure), with a conceptual understanding of cloud infrastructure and its role in scalable analytics. 2+ years of experience leading data-driven projects, influencing cross-functional teams, and translating complex concepts into actionable strategies Bachelor's Degree on Statistics, Computer Science or a related field Preferred qualifications Advanced degree in Statistics, Computer Science, or a related field. Experience in ad tech or client-facing analytics. Familiarity with AI/ML tools and their business applications. What's in it for you We're committed to helping our people thrive at work and at home. We offer generous benefits that address your total well-being and provide support as you need it, especially during key moments in your life. Our benefits include: Competitive pay Generous employee discount Physical and mental well-being support About us As part of the Best Buy team, you'll help us fulfill our purpose to enrich lives through technology. We bring that to life every day by humanizing and personalizing tech solutions for every stage of life-in our stores, online, and in customers' homes. Our culture is built on deeply supporting and valuing our amazing employees who make it all possible. We're committed to being a great place to work, where you can unlock unique career possibilities. Above all, we aim to provide a place where you can bring your full, authentic self to work now and into the future. Tomorrow works here.™ Best Buy is an equal opportunity employer.

* Research, design, and implement ML and GenAI solutions for fragmented, large-scale, and unstructured datasets. * Develop data pipelines and workflows in Python for ingestion, transformation, and feature engineering. * Apply advanced techniques like RAG, LLM fine-tuning, and embedding optimization for improved performance. * Work with large databases, data warehouses, and integrate across multiple sources with ambiguity handling. * Deploy models using Azure, ensuring scalability and governance with MLOps best practices. * Conduct experimentation and A/B testing to validate hypotheses and optimize outcomes. * Collaborate with engineering teams for productionization and monitoring of models. * Drive continuous improvement through metrics-driven insights and iterative refinements Salary Range: $110,000 $140,000 Year TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. #LI-SP1

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

Summary/Objective We are seeking a detail-oriented and innovative Data Engineer to design, build, and maintain scalable data pipelines and infrastructure across technology and operations. This role combines hands-on engineering with a strong emphasis on data quality, documentation, and collaboration. The ideal candidate will be skilled in managing data workflows, optimizing performance, and producing clear, structured documentation that supports project clarity and compliance. Essential Functions Data Pipeline Development Architect, develop, and maintain robust ETL/ELT pipelines for structured and unstructured data across multiple departments. Optimize data workflows for reliability, scalability, and performance. Integrate internal and third-party data sources for seamless analytics and reporting. Data Modeling & Management Design and implement efficient data models and storage solutions (e.g., relational, NoSQL, cloud-based). Ensure data integrity, security, and compliance with organizational standards. Support data governance initiatives and maintain metadata repositories. Documentation & Technical Writing Create and maintain comprehensive documentation for data pipelines, models, and infrastructure. Translate complex technical concepts into user-friendly documentation for internal and external stakeholders. Partner with helpdesk and knowledge base teams to ensure documentation is accessible and up to date. Stakeholder Engagement Serve as liaison between data engineering, analytics, business units, and leadership. Present project updates, risks, and mitigation strategies to executive stakeholders. Support training and onboarding materials for new data systems or processes. Quality & Compliance Support UAT and QA planning, ensuring data solutions align with compliance standards. Assist in change management efforts and maintain version control of documentation. Requirements Required Education and Experience Bachelor's degree in Computer Science, Engineering, Mathematics, or related field. 1+ years of experience in data engineering, preferably in a technical or regulated environment. Strong programming skills (e.g., Python, SQL, Scala) and experience with data engineering tools (e.g., SSIS, Apache Spark, Airflow, dbt). Proficiency in cloud platforms (e.g., AWS, Azure, GCP) and data warehousing solutions. Experience with project management tools (e.g., Jira, Asana, Trello) and documentation platforms (e.g., Confluence, SharePoint). Familiarity with software development lifecycle (SDLC) and Agile methodologies. Additional Eligibility Qualifications Excellent attention to detail and quality of work. Strong problem-solving skills. Strong verbal and written communication skills. Strong organizational skills to assist in managing multiple projects and tasks. Experience in financial services, SaaS, or compliance-driven industries. Ability to create data flow diagrams and technical documentation templates. Desire to make an impact. Supervisory Responsibility This position does not have any supervisory responsibility. Work Environment 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 Demands The physical demands described here are representative of those that an employee must meet to perform the essential functions of this job successfully. This is largely a sedentary role; however, some filing is required. This would require the ability to lift files, open filing cabinets, and bending or standing on a stool as necessary. Position Type/Expected Hours of Work This is a full-time position, and hours of work and days are Monday through Friday, 8:00 a.m. to 5:00 p.m. Occasional evening and weekend work may be required as job duties demand. Other Duties 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 any time with or without notice.

/JOB TITLE: Data Engineer DEPARTMENT: Engineering ***REQUIREMENTS: Qualified candidates must be legally authorized to be employed in the United States on a full-time basis for any position. Omnitech will not provide sponsorship for employment visa status (e.g., H-1B or TN status) for this position.*** *** On-site position, NO remote. **** Do you have a data-driven, engineering mind and a consulting-type personality? Omnitech is an established, locally owned software engineering firm specializing in helping businesses create and fulfill opportunities through custom technology solutions. We are a Microsoft Partner that values a community of mentors to cultivate skills and interests that align with our clients' needs. We understand that the journey to the solution can be just as important as the destination - for clients and our engineers. As a Data Engineer at Omnitech, you would qualify for multiple labels including business intelligence consultant, data warehouse consultant, data acquisition (ETL/ELT) consultant, database administrator consultant, data analyst, data architect, data scientist to name a few. We don't believe in narrowly defined labels and hierarchy. We believe in helping people solve problems. DESIRED SKILLS: (The applicable candidate must possess a number of the following.) Strong T-SQL skills SQL Server design and development experience Understanding of data profiling techniques Understanding of performance optimization, data warehousing Understanding of common data extraction techniques across a diverse set of sources including structured and non-structured data Experience with data cleansing and conforming techniques using ETL/ELT processes Develop standards and best practices to ensure data standardization and consistency as required Strong experience with dimensional modeling, star schema and Kimball Data Warehouse methodologies Design and develop data warehousing solutions for clients across a variety of industries and business sizes utilizing Microsoft's SQL Server Platform Perform the role of subject matter expert for Microsoft Business Intelligence technologies including Power BI and Microsoft Fabric Knowledge of Semantic models and Data Analysis Expressions (DAX) Experience with Big Data technology (e.g. Spark, Parquet) a plus Familiarity with storage technologies (e.g. SAN, NAS, etc.) a plus Translate business requirements and technical designs into well-developed solutions that meet client business goals Ability to explain the pros and cons of architectural decisions Evaluate and recommend new technologies as required Design and implement technology best practices, guidelines and repeatable processes Provide technical assistance and cross training to other team members and clients Participate in the business intelligence community to promote the use of the Microsoft BI platform and general data warehousing best practices Assist in pre-sales, scoping and requirements gathering process Ability to work closely with other project team members such as sales analysts, project managers, and software engineers REQUIREMENTS: 3 years Data experience A Bachelor's Degree in computer science, with emphasis in mathematics, or a similar analytical degree T-SQL, SQL Server, ETL/ELT, Cloud Data Platforms Desire for continuous learning and to pursue professional certifications Proven ability to consult and mentor others BENEFITS AND PERKS: Competitive salary with annual reviews Paid Time Off and Paid Holidays Insurance options include Health, Vision, and Supplemental Options Employer-paid Dental, Short-Term and Long-Term Disability Safe Harbor 401(k) with company match Dependent Care Flex Accounts Employee Assistance Program (EAP) Food, snacks, drinks Tuition reimbursement PERSONAL CHARACTERISTICS: Excellent communication, presentation, and interpersonal skills, confident with customers Detail-oriented, well-organized, and excellent ability to multi-task Energetic, comfortable working in a fast-paced environment Hard-working and motivated, able to take initiative and meet deadlines Comfortable working in a team-based environment A hands-on attitude in a friendly work environment. If you excel in a team centric learning environment and you're passionate about technology, please apply. **Omnitech participates in E-Verify and will provide the federal government with Form I-9 information to confirm work authorization. **Omnitech is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by law.

Job DescriptionDescription: /JOB TITLE: Data Engineer DEPARTMENT: Engineering ***REQUIREMENTS: Qualified candidates must be legally authorized to be employed in the United States on a full-time basis for any position. Omnitech will not provide sponsorship for employment visa status (e.g., H-1B or TN status) for this position.*** *** On-site position, NO remote. **** Do you have a data-driven, engineering mind and a consulting-type personality? Omnitech is an established, locally owned software engineering firm specializing in helping businesses create and fulfill opportunities through custom technology solutions. We are a Microsoft Partner that values a community of mentors to cultivate skills and interests that align with our clients' needs. We understand that the journey to the solution can be just as important as the destination - for clients and our engineers. As a Data Engineer at Omnitech, you would qualify for multiple labels including business intelligence consultant, data warehouse consultant, data acquisition (ETL/ELT) consultant, database administrator consultant, data analyst, data architect, data scientist to name a few. We don't believe in narrowly defined labels and hierarchy. We believe in helping people solve problems. DESIRED SKILLS: (The applicable candidate must possess a number of the following.) Strong T-SQL skills SQL Server design and development experience Understanding of data profiling techniques Understanding of performance optimization, data warehousing Understanding of common data extraction techniques across a diverse set of sources including structured and non-structured data Experience with data cleansing and conforming techniques using ETL/ELT processes Develop standards and best practices to ensure data standardization and consistency as required Strong experience with dimensional modeling, star schema and Kimball Data Warehouse methodologies Design and develop data warehousing solutions for clients across a variety of industries and business sizes utilizing Microsoft's SQL Server Platform Perform the role of subject matter expert for Microsoft Business Intelligence technologies including Power BI and Microsoft Fabric Knowledge of Semantic models and Data Analysis Expressions (DAX) Experience with Big Data technology (e.g. Spark, Parquet) a plus Familiarity with storage technologies (e.g. SAN, NAS, etc.) a plus Translate business requirements and technical designs into well-developed solutions that meet client business goals Ability to explain the pros and cons of architectural decisions Evaluate and recommend new technologies as required Design and implement technology best practices, guidelines and repeatable processes Provide technical assistance and cross training to other team members and clients Participate in the business intelligence community to promote the use of the Microsoft BI platform and general data warehousing best practices Assist in pre-sales, scoping and requirements gathering process Ability to work closely with other project team members such as sales analysts, project managers, and software engineers REQUIREMENTS: 3 years Data experience A Bachelor's Degree in computer science, with emphasis in mathematics, or a similar analytical degree T-SQL, SQL Server, ETL/ELT, Cloud Data Platforms Desire for continuous learning and to pursue professional certifications Proven ability to consult and mentor others BENEFITS AND PERKS: Competitive salary with annual reviews Paid Time Off and Paid Holidays Insurance options include Health, Vision, and Supplemental Options Employer-paid Dental, Short-Term and Long-Term Disability Safe Harbor 401(k) with company match Dependent Care Flex Accounts Employee Assistance Program (EAP) Food, snacks, drinks Tuition reimbursement PERSONAL CHARACTERISTICS: Excellent communication, presentation, and interpersonal skills, confident with customers Detail-oriented, well-organized, and excellent ability to multi-task Energetic, comfortable working in a fast-paced environment Hard-working and motivated, able to take initiative and meet deadlines Comfortable working in a team-based environment A hands-on attitude in a friendly work environment. If you excel in a team centric learning environment and you're passionate about technology, please apply. **Omnitech participates in E-Verify and will provide the federal government with Form I-9 information to confirm work authorization. **Omnitech is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by law. Requirements:

**_About_** **_this_** **_position_** ** At Henkel, you'll be part of an organization that's shaping the future through innovation, sustainability and collaboration. With our trusted brands like Persil , 'all , Loctite , Snuggle , and Schwarzkopf and our cutting-edge technologies, you'll have countless opportunities to explore new paths and grow. This position is with our Adhesive Technologies business unit - where we empower our people to transform industries and provide our customers with a competitive advantage through adhesives, sealants and functional coatings. **Dare to learn new skills, advance in your career and make an impact at Henkel.** **What you´ll do** + This position is responsible for the implementation of project work to enhance Manufacturing Execution Systems (MES) and applications. + The Data Analysis Engineer is responsible for trouble shooting complex systems-based issues in a fast-paced manufacturing environment. + As the Manufacturing Engineering Team works on process improvement projects, the Data Analysis Engineer will play an active and critical role by providing data and insights to help achieve the greatest positive impact. + Leverage data and technology to improve organizational efficiency + Identify improvement opportunities through analysis of factory operational data + Responsible for analyzing and summarizing existing process needs, establishing future data models, and working cooperatively with external resources to develop data informed solutions + Identify and implement solutions for short- and long-term systems issues through solid root cause analysis + Identify opportunities for digitization and / or automation + Acts as a subject matter expert for the discernment of systems and automation project feasibility + Responsible for the execution of MES project deployment + Acts as the local factory's primary contact with Henkel IT and third part resources + Develops and conducts training to all levels of MES users + Works closely and collaboratively with factory engineers to support daily operations and improvement projects + Ensures the security of operational systems and data **What makes you a good fit** + Collects and analyzes data; able to use statistical tools to validate data findings + Responds well to questions; able to clearly articulate thinking; can present in front of a team + Able to create documents, e.g. project summaries, process instructions, training materials, etc., that are clear and effective + Ability to work with teams and work through conflict in a professional manner + Proficient with Microsoft products, e.g., Excel, Power BI, etc. + Can demonstrate Problem Solving and Project Management skillset + Experience in manufacturing environments + Ability to collaborate and work effectively in a variety of teams, including multi-disciplinary teams, at all levels + Ability to plan, manage, and execute complex project activities to a successful conclusion while demonstrating a strong work ethic experience + Bachelor's Degree in: Computer Information Systems, Computer Science, Business Technology, or similar + Experience with SAP, MES/DCS/PLC or SCADA systems + VBA and/or Python coding knowledge (VBA preferred) **Some benefits of joining Henkel** + Health Insurance: affordable plans for medical, dental, vision and wellbeing starting on day 1 + Work-Life Balance: Paid time off including sick, vacation, holiday and volunteer time, and vacation buy / sell program + Financial: 401k matching, employee share plan with voluntary investment and Henkel matching shares, annual performance bonus, service awards and student loan reimbursement + Family Support: 12-week gender neutral parental leave (up to 20 weeks for parents giving birth), fertility support, adoption & surrogacy reimbursement, discounted child and elderly care, and scholarships + Career Growth: diverse national and international growth opportunities, access to thousands of skills development courses, and tuition reimbursement The salary for this role is $70,000.00 - $93,000.00. This is the range that we in good faith anticipate relying on when setting wages for this position. We may ultimately pay more or less than the posted range and this range. This salary range may also be modified in the future. Henkel does not accept unsolicited resumes from search firms or employment agencies. Unsolicited referrals and resumes are considered Henkel property and therefore, Henkel will not pay a fee for any placement resulting from the receipt of an unsolicited referral. Henkel is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information, and other legally protected categories. **JOB ID:** 25085364 **Job Locations:** United States, SD, Brandon, SD **Contact information for application-related questions:** ***************************** Please do not use this email address for sending your application or CV. To apply, please click on the "Apply for this role" button below. Applications sent via e-mail will not be accepted. **Application Deadline:** As long as the vacancy is listed on our Career Site, we are happy to receive your application **Job-Center:** If you have an application already, you can create or log in to your accounthere (******************************************************************************************************************************************************** to check the status of your application. In case of new account creation, please use your email address that you applied with. Activate external content When clicking the button below external content will be loaded which involves transfer of personal data (e.g. IP address) to external servers. This may involve that cookies are set by the external content provider. Please see Data Protection Statement for further information. **Accept for all YouTube content** Deactivate loading external content from YouTube. How is work at Henkel

Collect, clean, and analyze large datasets from various sources • Develop and maintain dashboards and visualizations to present data insights • Identify trends, patterns, and opportunities in the data to inform business strategies • Collaborate with department teams to understand their data needs and provide solutions • Use statistical methods to analyze data and generate actionable recommendations • Create detailed documentation of data analysis processes and findings • Ensure data accuracy, integrity, and security • Assist in the development and maintenance of databases and data systems

Empowered to live. Inspired to work. Compeer Financial is a member-owned cooperative located in Illinois, Minnesota and Wisconsin. We bring together team members with a variety of backgrounds and experiences to help provide financial services to support agriculture and rural communities. Join us in a culture that not only promotes meaningful work and professional development, but provides a flexible, hybrid work environment and excellent benefits, which empower you to thrive both personally and professionally. How we support you: Hybrid model - up to 50% work from home Flexible schedules including ample flexibility in the summer months Up to 9% towards 401k (3% fixed Compeer contribution plus up to 6% match) Benefits: medical, dental, vision, HSA/FSA, life & AD&D insurance, short-term and long-term disability, wellness program & EAP Vacation, sick leave, holidays/floating holidays, parental leave, and volunteer paid time off Learning and development programs Mentorship programs Cross-functional committee opportunities (i.e. Inclusion Council, emerging professional groups, etc.) Professional membership/certification reimbursement and more! Casual/seasonal & intern team members are not eligible for benefits except for state-mandated programs. To learn more about Compeer Financial visit************************ This position offers a hybrid work option up to 50% remote and is based out of either Bloomington, IL; Mankato, MN; or Lakeville, MN office locations. The contributions you will make: This position is responsible for building analytics tools that utilize the data pipeline to provide actionable insights for decision making. The incumbent operationalizes and maintains machine learning models developed by data scientists/quantitative analysts within the organization to ensure that the machine learning models or data analytics work product developed by data scientists are efficiently transitioned into robust, scalable and maintainable production systems. A typical day: Data Engineering Develops data models, data pipelines and streamlines the deployment of models into production environments that could include machine learning. Supports the design and implementation of Power BI (PBI) dashboards and semantic models, enabling intuitive visualization of advanced analytics Builds and maintains pipelines for data analytics projects that include machine learning, enabling seamless integration and delivery of model updates. Monitors the performance and accuracy of projects in production and performs regular maintenance to ensure they continue to meet business needs. Works closely with quantitative analysts to understand their models' requirements and provides the necessary infrastructure and tooling for model/data analysis training and experimentation. Optimizes performance of SQL queries, predictive models and data pipelines across both on-prem and cloud environments for speed, efficiency and cost-effectiveness. Designs, builds, deploys and maintains data integration pipelines in MS Azure and/or SQL Server Integration Service. Documents data engineering workflows, predictive analytics integration patterns, advanced Power BI development standards and MLOps processes to support transparency, reproducibility and efficient onboarding. Continuous Improvement and Best Practices Identifies, designs and implements internal process improvements, automates manual processes, optimizes data delivery, etc. Participates with cross-functional Data and Business Technology teams to formulate best practices. Continuous Improvement and Best Practices Identifies, designs and implements internal process improvements, automates manual processes, optimizes data delivery, etc. Participates with cross-functional Data and Business Technology teams to formulate best practices. Stays up-to-date with the latest analytics and predictive analytics tools, technologies and best practices to continuously improve the machine learning operations pipeline. Industry Knowledge and Training Facilitates meetings with Data, Project Delivery and/or business unit team members. Provides information and training to other team members. Serves as a resource for questions and problem resolution. The skills and experience we prefer you have: Bachelor's degree in math, computer science, management information systems, or related field or an equivalent combination of education and experience sufficient to perform the essential functions of the job. Minimum of 7 years of experience with various MS SQL environments (2008, 2012, 2014, 2017, 2019), designing and implementing objects using SQL Server Data Tools. SQL Server and/or other Microsoft technologies, preferred. Advanced knowledge of Python, R, and/or Java, with an emphasis on Python due to its extensive use in machine learning and data science. Advanced experience with machine learning frameworks (e.g., PyTorch) and algorithms, as well as the ability to understand and interpret models created by data scientists. Advanced experience in Power BI, including DAX development, data modeling, Power Query (M), and building enterprise-grade dashboards and reports. Advanced experience with cloud platforms such as AWS or Azure, including services related to machine learning, computation, storage, and orchestration. Advanced knowledge of container management systems to deploy and manage machine learning models at scale. Ability to work with big data technologies and databases (SQL), as well as to preprocess and handle large datasets. Advanced communication skills to work effectively with cross-functional teams, including data scientists (quantitative analysts) and business stakeholders. Strong analytical and troubleshooting skills to resolve deployment issues and optimize model performance. Valid Driver's License. #IND100 How we will take care of you: Our job titles may span more than one career level (associate, senior, principal, etc.). The actual title and base pay offered is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role is eligible for variable compensation and other benefits. Base Pay$92,000-$124,500 USD Compeer Financial is an equal opportunity employer and 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. Must be authorized to work for any employer in the United States. Compeer is unable to sponsor or take over sponsorship of an employment visa at this time. Click here to view federal employment laws applicable for applicants.

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