Senior data scientist jobs in Rochester, MN - 424 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.

SummaryWomen's Health and X-ray is pursuing a strategic initiative to unlock incremental revenue through the development of Digital SaaS solutions. These innovative applications will be layered onto the existing global install base of Mammography (Mammo), Digital Breast Tomosynthesis (DBT), and X-ray devices-transforming hardware into intelligent platforms that deliver enhanced clinical and operational value. The Sr Data Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of modern machine learning, operational research, semantic analysis, and statistical methods for finding structure in large data sets. The project centers on the development of solutions that leverage AI-driven guidance to assist patients throughout radiologic procedures. The system integrates advanced technologies including computer vision, robotics, and intelligent control to coordinate imaging tasks.Job Description ** No OPT or Sponsorship for this role ** ** This role is a hybrid position, in-office 2-3 days/week ** As a Sr Data Scientist, you will be part of a data science or cross-disciplinary team on commercially facing development projects, typically involving large, complex data sets. These teams typically include statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert with partners in GE business units. Potential application areas include remote monitoring and diagnostics across infrastructure and industrial sectors, financial portfolio risk assessment, and operations optimization. In this role, you will: Work with customers to capture data and analytics requirements Develop, verify, and validate analytics to address customer needs and opportunities. Work alongside software developers and software engineers to translate algorithms into commercially viable products and services. Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. Perform exploratory and targeted data analyses using descriptive statistics and other methods. Work with data engineers on data quality assessment, data cleansing and data analytics Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes. Communicate methods, findings, and hypotheses with stakeholders. Requirements: Education- Master's or PhD in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math). Undergraduate or graduate studies in biomedical engineering or similar fields is highly desired. Minimum of 7 years of professional experience in AI product development. Experience in medical device development Technical Expertise- Demonstrated skill in data management methods Demonstrated skill in feature extraction and realtime analytics development and deployment Demonstrated skill in prescriptive analytics and analytic prototyping Experience developing and deploying production-grade AI/machine learning models at scale, delivering measurable business impact through improved efficiency, revenue growth or automation in real-world environments. Demonstrated ability to translate business problems into ROI-driven AI solutions, including end‑to‑end ownership from problem framing and model development to operationalization, monitoring, and continuous improvement in production Specific Skills Include- Proficiency in python and deep learning frameworks such such a Tensorflow, PyTorch and open CV Strong background in AI image processing and computer vision algorithms, including training and fine-tuning image classification and segmentation models Preferred Skills: Experience with model optimization for latency and throughput in online systems. Experience with large-scale CNNs or LLMs, vision transformers (VLMs), and self-supervised learning. Experience with the full AI lifecycle, including data curation, model development, and model validation for production. Proven ability to collaborate with ML engineers to integrate models into production. Skilled in model validation for product readiness, with a strong focus on writing production-quality, maintainable code. Experience with multimodal data integration and systems combining images, video, and speech is highly desired. Experience with cloud computing platform, such as AWS or Azure is highly desired. Experience working with robotic simulation is desired. Domain Knowledge- Experience in medical device development is considered a strong asset. Experience in medical imaging AI development is highly desired Background in robotics or automation technologies is advantageous. Background in automated vehicle or robotic guidance is highly desired Demonstrated skill in defining and delivering customer value in these areas Experience with natural language processing is advantageous. Leadership- Demonstrated skill at working in a team setting Demonstrated skill in critical thinking and problem solving methods Demonstrated skill in project ownership and overseeing AI solution development interdentally. Demonstrated skill in presentation and influencing skills #Hybrid #LI-MH1 We will not sponsor individuals for employment visas, now or in the future, for this job opening. For U.S. based positions only, the pay range for this position is $139,200.00-$208,800.00 Annual. It is not typical for an individual to be hired at or near the top of the pay range and compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate may be influenced by a variety of factors including skills, qualifications, experience and location. In addition, this position may also be eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). GE HealthCare offers a competitive benefits package, including not but limited to medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, and tuition reimbursement.Additional Information GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees. Relocation Assistance Provided: No

The Weather Company provides the best weather insight in the world, and is leading the charge in the growing area of weather decision support for business. We are offering you a unique opportunity to apply and/or develop your mathematical modeling skills on our unique set of weather data. Working with weather data is really unique and amazing; weather is in perpetual evolution, generates petabytes of new data every month, and deeply impacts people and businesses on various timescales. We serve a wide variety of businesses including renewable energies, energy traders, utility companies, insurance, retailers, and consumer product groups. As a consequence you will apply and/or learn a wide variety of statistical techniques including time series analysis, high dimensional clustering, machine learning, data mining and Bayesian modeling. Job Description Are you interested in applying machine learning or data mining on problems that truly improve people's life? We're looking for a mathematician/data scientist eager to tackle unique challenges in the realm of predicting weather's impact on business. You will work on a skilled team of passionate data scientists and meteorologists. Examples of projects you may encounter would be anything from predicting the electricity output of a solar park in Arizona, to predicting how much ice cream is going to be sold next week in Chicago. Partner collaboratively with the business and project teams to accomplish tasks/milestones/goals. Research, recommend, and implement statistical post process correction techniques using proprietary forecasts. Demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, etc. Improve operations by conducting systems analysis; recommending changes in policy and procedures. Provide estimates of work effort and impact of projects and tasks, and provide team leadership, as required. Continuously build your knowledge by studying new scientific methodologies and techniques. Play an active role in the product requirements process, giving feedback to product management when challenges arise. Qualifications MS in Applied Statistics, Mathematics, Econometrics, or other discipline related to Time-Series Analysis, Machine learning and Forecasting, or other related discipline. 3-5 years of relevant professional experience, with demonstrated achievements. Can demonstrate mastery of general scientific computing softwares such as R, MATLAB, Octave, etc. Experience using/implementing non-parametric regression such as Neural Net, SVM, Random Forest, Projection Pursuit, MARS, Radial Basis Functions, AdaBoost, GLM Experience in Predictive Modeling including Non-Parametric Regression, Bayesian Inference, Hidden Markov Models, Generalized ARMA, or Kalman Filtering is a plus. Experience in non-linear optimisation including Simulated Annealing, Genetic Algorithm, Agent Based Modeling, Particle Swarm, Bee Colony is a plus but not necessary. Knowledge of ensemble learning techniques and probabilistic forecasts is a plus. Programming capabilities including C++, Java, Python is a plus but not necessary. Additional Information

Bettendorf, Illinois, US Chicago, Illinois, US North Chicago, Illinois, US Rock Island, Illinois, US Moline, Illinois, US Davenport, Iowa, US Business Systems/Analysis 18303 Full-Time $85032.41 - $141720.69 Description & Qualifications** **Position Description & Qualifications** As a Data Scientist, Senior you will play a key role in supporting the Army Sustainment Command (ASC). In this role, you will: - Perform advanced analysis and analytics to produce algorithms and/or business process recommendations. - Develop and use data, algorithms, and analyses to identify and apply mechanisms to both overcome impediments to materiel readiness and exploit opportunities to improve readiness through feasible, cost-effective software and business process improvements, changes, and interventions. - Forecast and address complex analytical challenges and identify the challenges and opportunities within systems, develop comprehensive solutions, and incorporate these capabilities solutions into software and workflows. - Develop analytics and process solution sets, the criteria for recommended algorithms and processes shall include preference for efficient methods that use as simple of a process as possible given the current state-of-the-art practices. The analytics and process solution sets shall provide appropriate, economic savings-driven answers. - Regularly identify and communicate courses of actions required for program and project success, including appropriate reporting processes and applicable metrics to monitor and assess outcomes. - Proactively identify mechanisms to improve mission performance. - Use appropriate quantitative analytics techniques to include time series analysis and forecasting, advanced multivariate regression (including Probit and Logit Models), systems dynamics modelling, Bayesian inference procedures, minimax procedures (statistical), subjective probability utilization, expected utility analysis, operational risk analysis, and uncertainty evaluation. - Use appropriate qualitative analytics techniques to include multi-criteria decision analysis, qualitative comparative analysis, causal mapping, formal game theory, minimax procedures (game theory), decision architecture, systems architecture analysis, organizational analysis and structural reform, supply chain analysis,and multinational best practices (military and industry) evaluation. - Use logistics and agent-based modeling and simulation. - Conduct business process analysis and optimization across the Doctrine, Organization, Training, Materiel, Leadership, Education, Personnel, Facilities, Policy (DOTMLPF-P) spectrum and beyond. - Produce formal use cases, software program change requests, and other required documentation for technology insertion into related defense logistics support software. - Interface and liaise with software program offices and contractors. - Develop requirements for defense analytics software. - Conduct stakeholder analysis and create products for stakeholder communications and messaging. **POSITION QUALIFICATIONS** To be successful in this role, you will have: + U.S. Citizenship + An Active Secret Clearance or an interim Secret Clearance. + Master's Degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline. + Minimum 4 years of experience working directly on a data science team. + Superior communication skills, both oral and written. + Experience working with tools, including objectoriented programming (Python, Java), computational analysis tools (R, MATLAB), and associated data science libraries (scikit-learn). + Experience creating meaningful data visualizations and interactive dashboards using platforms such as Tableau, Qlik, Power BI, RShiny, plotly, and d3.js to communicate findings and relate them back to how your insights create business impact. + Working knowledge of databases and SQL. + Preferred qualifications include linking analytic and data visualization products to database connections. + Familiarity with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics. + Familiarity with unstructured text and natural language processing, R, Python, SAS, MATLAB, Anaconda, IBM Blue, and Oracle Big Data to analyze large data sets and develop automated analytics. + Familiarity with machine learning, data mining, statistical network, natural language processing, text analytics, and graph-based algorithms to analyze massive data sets. + Familiarity with supervising algorithm implementation in on premise and cloud-based computing environments. + Familiarity with developing software to generate reports and visualizations that summarize data sets and provide data-driven insights. + Familiarity with developing and implementing statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics as well as to develop statistical tests to make data-driven recommendations and decisions. **Company Overview** Serco Inc. (Serco) is the Americas division of Serco Group, plc. In North America, Serco's 9,000+ employees strive to make an impact every day across 100+ sites in the areas of Defense, Citizen Services, and Transportation. We help our clients deliver vital services more efficiently while increasing the satisfaction of their end customers. Serco serves every branch of the U.S. military, numerous U.S. Federal civilian agencies, the Intelligence Community, the Canadian government, state, provincial and local governments, and commercial clients. While your place may look a little different depending on your role, we know you will find yours here. Wherever you work and whatever you do, we invite you to discover your place in our world. Serco is a place you can count on and where you can make an impact because every contribution matters. To review Serco benefits please visit: ************************************************ . If you require an accommodation with the application process please email: ******************** or call the HR Service Desk at ************, option 1. Please note, due to EEOC/OFCCP compliance, Serco is unable to accept resumes by email. Candidates may be asked to present proof of identify during the selection process. If requested, this will require presentation of a government-issued I.D. (with photo) with name and address that match the information entered on the application. Serco will not take possession of or retain/store the information provided as proof of identity. For more information on how Serco uses your information, please see our Applicant Privacy Policy and Notice. Serco does not accept unsolicited resumes through or from search firms or staffing agencies without being a contracted approved vendor. All unsolicited resumes will be considered the property of Serco and will not be obligated to pay a placement or contract fee. If you are interested in becoming an approved vendor at Serco, please email ********************* . Serco is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. **Pay Transparency** Our Total Rewards package includes competitive pay, performance-based incentives, and benefits that promote well-being and work-life balance-so you can thrive both professionally and personally. Eligible employees also gain access to a wide range of benefits from comprehensive health coverage and health savings accounts to retirement plans, life and disability insurance, and time-off programs that support work-life balance. Program availability may vary based on factors such as contract type, location, hire date, and applicable collective bargaining agreements. Salary range: The range for this position can be found at the top of this posting. This range is provided as a general guideline and represents a good faith estimate across all experience levels. Actual base salary will be determined by a variety of factors, including but not limited to, the scope of the role, relevant experience, job-related knowledge, education and training, key skills, and geographic market considerations. For roles available in multiple states, the range may vary to reflect differences in local labor markets. In addition to base salary, eligible positions may include other forms of compensation such as annual bonuses or long-term incentive opportunities. Benefits - Comprehensible benefits for full-time employees (part-time employees receive a limited package tailored to their role): + Medical, dental, and vision insurance + Robust vacation and sick leave benefits, and flexible work arrangements where permitted by role or contract + 401(k) plan that includes employer matching funds + Tuition reimbursement program + Life insurance and disability coverage + Optional coverages that can be purchased, including pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, ID theft protection + Birth, adoption, parental leave benefits + Employee Assistance Plan To review all Serco benefits please visit: ******************************************* . Serco complies with all applicable state and local leave laws, including providing time off under the Colorado Healthy Families and Workplaces Act for eligible Colorado residents, in alignment with our policies and benefit plans. The application window for this position is for no more than 60 days. We encourage candidates to apply promptly after the posting date, as the position may close earlier if filled or if the application volume exceeds expectations. Please submit applications exclusively through Serco's external (or internal) career site. If an applicant has any concerns with job posting compliance, please send an email to: ******************** .

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.

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.

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.

Senior Data Scientist - Promo Analytics **Applicants must be authorized to work in the U.S.; Sponsorship is not available for this position. INNOVATE without boundaries! At Milwaukee Tool we firmly believe that our People and our Culture are the secrets to our success-so we give you unlimited access to everything you need to provide support to your business unit. Behind our doors you'll be empowered every day to own it, drive it, and do what it takes to support the biggest breakthroughs in the industry. Meanwhile, you'll have the support and resources of the fastest-growing brand in the construction industry to make it happen. Your Role on Our Team: As a Senior Data Scientist - Promo Analytics, you will deliver innovative analytics solutions that enable Milwaukee Tool to make fast, data-driven decisions about promotional strategies. Working closely with business partners and the Promo Analytics pod, you will design, build, and support the core systems that power our promo analytics capabilities. You will develop scalable machine learning models and forecasting tools to optimize promotions, ensuring trusted and actionable insights across the organization. You'll build deep expertise in our promotional data and drive advanced analytics initiatives. Success in this role requires curiosity, a passion for experimentation, and the ability to operate independently while effectively engaging with stakeholders to elevate our team and deliver value to our customers. You'll be DISRUPTIVE through these duties and responsibilities: Design and build machine learning and forecasting models to optimize promotional strategies and deliver measurable business value. Develop, validate, and deploy advanced statistical and ML models for pricing, promotion, and revenue management. Translate business needs into actionable data science projects and deliverables within the promo analytics domain. Apply best practices in model development, experimentation, and continuous improvement to ensure analytics excellence. Analyze large, complex datasets using Databricks, Azure, and other modern data platforms to uncover actionable insights. Build and maintain analytics tools and templates to support team productivity and solution delivery. Conduct root cause analysis for promo analytics issues and contribute to long-term remediation and reliability improvements. Collaborate with Data Engineers, Product Owners, Business Intelligence Engineers, and other technical team members in a pod structure. Work directly with marketing and sales teams to understand business challenges and deliver impactful analytics solutions. Perform other duties as assigned. The TOOLS you'll bring with you: Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, or a related field, or equivalent experience. 5 or more years of experience in data science, advanced analytics, or a closely related technical field. Advanced proficiency in statistical modeling, machine learning, and analytics techniques. Proficiency in at least one programming language used for data science (Python preferred) Hands-on experience building, validating, and deploying machine learning and forecasting models in production environments. Experience with cloud-based data science platforms (Databricks, Azure Machine Learning, or similar). Demonstrated ability to develop and implement statistical and ML models for business impact, ideally in pricing, promotion, or revenue management. Knowledge of experimental design, A/B testing, and model evaluation best practices. Ability to work independently and collaboratively within cross-functional teams. Strong problem-solving, debugging, and analytical skills, especially in complex, multi-system environments. Ability to thrive in agile, dynamic, and collaborative teams, and to communicate complex analytics clearly to technical and non-technical audiences. Other TOOLS we prefer you to have: Experience with advanced machine learning techniques (e.g., time series forecasting, causal inference, uplift modeling, optimization, or reinforcement learning). Familiarity with promo, pricing, or revenue management analytics. Experience with Databricks, Azure Machine Learning, or similar cloud-based data science platforms. Experience with experimentation frameworks (A/B testing, multivariate testing). Knowledge of data visualization tools (e.g., Power BI, Tableau, matplotlib, or similar). Experience working with large, complex datasets in a business context. Experience collaborating in Agile, cross-functional teams. Strong communication skills for presenting complex analytics to technical and non-technical audiences. Working Conditions: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Frequently required to stand, walk, bend, stretch, reach, and effectively communicate with others in the workplace Sitting for prolonged periods of time Prolonged exposure to computer screens Repetitive use of hands and fingers to operate office equipment, machinery, hand tools and/or power tools Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus May require to wear personal protective equipment which includes, but is not limited to, safety glasses, gloves, and hearing protection May work in laboratories and/or controlled, enclosed, restricted areas Noise levels range from moderate to loud Must be able to lift up to 50 pounds at a time May require travel dependent on company needs We provide these great perks and benefits: Robust health, dental and vision insurance plans Generous 401 (K) savings plan Education assistance On-site wellness, fitness center, food, and coffee service And many more, check out our benefits site HERE. Milwaukee Tool 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

**Why Mayo Clinic** Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans (************************************** - to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic. **Benefits Highlights** + Medical: Multiple plan options. + Dental: Delta Dental or reimbursement account for flexible coverage. + Vision: Affordable plan with national network. + Pre-Tax Savings: HSA and FSAs for eligible expenses. + Retirement: Competitive retirement package to secure your future. **Responsibilities** Join a world-renowned institution where data science directly improves patient lives. At Mayo Clinic, Data Scientists turn complex, heterogeneous data into meaningful insights that enhance clinical care, accelerate scientific discovery, and strengthen the digital future of healthcare. This role partners closely with Data Science and Informatics faculty and serves as a technical thought leader-shaping the strategy, direction, and impact of data science across the enterprise. **As a Data Scientist at Mayo Clinic, you will:** + **Transform data into insight and insight into action** , spanning the full spectrum from problem formulation and data acquisition to modeling, deployment, and interpretation. + Provide **strategic direction for data science and AI** in a specialized domain-such as cancer, surgery, healthcare delivery, marketing, or planning services. + Collaborate with enterprise leaders to **advance Mayo Clinic's digital and analytics strategy** . + Work side‑by‑side with Informatics and IT teams to build **data‑ and intelligence‑driven systems** that address complex, high‑priority challenges. + Recommend best practices for **data collection, integration, and retention** , incorporating technical, operational, and business needs. + Support scientific and operational initiatives under the guidance of a senior data scientist or through full independent direction. + Design and develop **scripts, tools, and software applications** that enable data extraction, management, and analysis across the organization. + Deliver enterprise‑level consultative services, providing analysis and presenting findings to leadership and multidisciplinary stakeholders. + In Generative AI, a Data Scientist **will lead and execute Gen AI/Agentic based approaches** **Key Responsibilities** + Partner with multidisciplinary teams to create innovative approaches for **data‑driven decision‑making** . + Lead exploration of **next‑generation AI/ML approaches** to solve complex analytical problems across diverse domains. + Apply deep expertise in data science methods, data types, and scientific challenges to help **shape new products, experiences, and technologies** . + Guide and mentor data science staff, ensuring high‑quality analysis, unbiased recommendations, and alignment with strategic priorities. + Develop **analytics tools and solutions** that can be used effectively by non‑technical staff. **Qualifications** - **PhD** in a domain relevant field (mathematics, computer science, statistics, physics, engineering, data science, health science, or a related discipline) **Plus** - **At least four years** of experience in data science, machine learning, AI, or informatics **What You Bring** + A blend of **deep technical expertise and strong business acumen** , with a proven ability to lead technical or quantitative teams. + Demonstrated success developing **predictive and prescriptive models** using advanced statistical modeling, machine learning, or data mining. + Experience applying **problem‑solving frameworks** , planning methods, continuous improvement approaches, and project management techniques. + Ability to independently manage multiple high‑impact projects in a dynamic environment, staying current with healthcare trends and enterprise priorities. + Exceptional interpersonal skills- **presentation, negotiation, persuasion, and written communication** . + Strong time‑management skills and the ability to prioritize, organize, and delegate effectively. + Expertise in **scientific computing** , data management packages, data modeling, and data exploration tools. + A consulting mindset: the ability to identify challenges, recommend solutions, deploy analytics tools, and support non‑technical users. + Demonstrated initiative in areas such as training, software development, education, and technical documentation. + Proven ability to provide **vision and strategic direction** at the departmental, institutional, or enterprise level. + Preferred publications in high impact factors **Exemption Status** Exempt **Compensation Detail** Compensation range is $165,276.80 - $247,998.40 / Salary. This vacancy is not eligible for sponsorship, and we will not sponsor or transfer visas for this position. **Benefits Eligible** Yes **Schedule** Full Time **Hours/Pay Period** 80 **Schedule Details** Monday - Friday, 8am - 5pm CST. Some on-site travel may be required for retreats or meetings. **Weekend Schedule** As needed. **International Assignment** No **Site Description** Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is. (***************************************** **Equal Opportunity** All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law" (**************************** . Mayo Clinic participates in E-Verify (******************************************************************************************** and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization. **Recruiter** Briana Priniski **Equal opportunity** As an Affirmative Action and Equal Opportunity Employer Mayo Clinic is committed to creating an inclusive environment that values the diversity of its employees and does not discriminate against any employee or candidate. Women, minorities, veterans, people from the LGBTQ communities and people with disabilities are strongly encouraged to apply to join our teams. Reasonable accommodations to access job openings or to apply for a job are available.

Data Scientist Foundational Model Science The Data Scientist for Foundational Model Science is the senior technical leader, and the lead scientist responsible for designing, training, and governing Mayo's multimodal foundational model. This model forms the core intelligence layer used by clinical departments, researchers, agentic workflows, and sovereign AI collaborations. The individual will work as a hands-on architect, model-builder, and researcher while acting as a player-coach, guiding strategy and building a future team. Key Responsibilities Scientific & Technical Leadership Design multimodal foundational model architectures integrating signals from imaging, text, waveforms, structured data, graph representations, and temporal embeddings. Develop fusion, alignment, and cross-modal reasoning mechanisms (early fusion, late fusion, token-level fusion, hybrid models). Define and implement methods for grounded clinical reasoning, retrieval-augmented inference, graph-augmented attention, and chain-of-thought verification. Establish protocols for model lifecycle governance, safe update cycles, drift-aware re-training, and provenance tracking. Hands-On Modeling & Training Train large-scale deep learning models, including multimodal architectures and domain-specific transformer-based systems, on real clinical datasets. Fine-tune and adapt large language models (LLMs) for clinical reasoning, summarization, question answering, agentic behavior, and instruction-following tasks. Build retrieval-augmented pipelines using embeddings, vector stores, graph traversal, and clinically grounded context construction. Develop evaluation methods for reasoning quality, temporal prediction accuracy, multimodal synergy, ablation-based robustness, and counterfactual behavior. Create reference-grounded training datasets, structured reasoning tasks, and multimodal benchmarks to evaluate model performance. Conduct hands-on experimentation with optimization strategies, large-scale distributed training, model quantization, and inference acceleration. Implement uncertainty modeling, selective prediction, abstention mechanisms, and clinically meaningful risk thresholds. Build interpretable reasoning pathways, cross-modal attribution maps, and reference-grounded explanations. Cross-functional Collaboration Work closely with the Representation team to ensure representation-model alignment. Partner with clinical SMEs to encode domain reasoning into reinforcement learning, preference optimization, or rule-guided behaviors. Team Leadership Serve as the future founding technical lead of the Foundational Model Science Program. Mentor scientists and engineers and eventually build a specialty modeling team. Required PhD in Machine Learning, Computer Science, Applied Mathematics, or related discipline with at least four years of informatics, Artificial Intelligence, data science and/or machine learning. Experience with generative modeling, reasoning models, or multimodal foundation models. Expertise in alignment methods (contrastive learning, RLHF/RLCS, preference optimization). Experience with distributed training, and large-scale compute. Preferred Experience with clinical or EMR data across multiple modalities. 7+ years experience training deep learning models, including transformers or multimodal architectures. Experience defining evaluation frameworks for reasoning, multimodal synergy, reliability, or fairness. Publications in multimodal learning, foundation models, or reasoning architectures.

Perform exploratory data analysis to identify trends, patterns, and anomalies for tier 0 applications/products. Develop and implement statistical models, machine learning algorithms, and data mining techniques for Service Management initiatives. Key Responsibilities Collect, clean, and preprocess structured and unstructured data from various sources. Develop and implement statistical models, machine learning algorithms, and data mining techniques. Perform exploratory data analysis to identify trends, patterns, and anomalies. Communicate findings through visualizations, dashboards, and reports. Collaborate with engineering, product, and business teams to deploy models and integrate data solutions. Monitor model performance and continuously improve accuracy and efficiency. Stay current with industry trends, tools, and best practices in data science and analytics. LI_DNI Required Qualifications Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field. 0-1 years of experience. Proficiency in programming languages such as Python or R. Strong knowledge of SQL and data manipulation tools. Understanding of data engineering concepts: ETL/ELT, data quality, logging, monitoring. Exposure to AWS CloudWatch, S3, Lambda, EC2. Understanding of infrastructure concepts such as compute, storage, networking, IAM. Familiarity with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn). Excellent problem-solving and communication skills. Preferred Qualifications Exposure to Snowflake and Iceberg. Comfortable with model validation, monitoring, and basic MLOps concepts. Ability to write scripts to automate reporting or operational tasks Experience with API integrations (REST, boto3 for AWS, etc.). Basic understanding of containerization (Docker) is a plus. About Our Company We're a diversified financial services leader with more than $1.5 trillion in assets under management, administration and advisement as of 2024. With our team of more than 20,000 people in 20 countries, we advise, manage and protect assets and income of more than 3.5 million individual, small business and institutional clients. We are a longstanding leader in financial planning and advice, a global asset manager and an insurer. Our unwavering focus on our clients and strong financial foundation connects each of our unique businesses - Ameriprise Financial, Columbia Threadneedle Investments and RiverSource Insurance and Annuities. Here, we foster meaningful careers, invest in the future, and make a difference for clients, institutions and communities around the world. Base Pay Salary The estimated base salary for this role is $71,300 - $96,000 a year. We have a pay-for-performance compensation philosophy. Your initial total compensation may vary based on job-related knowledge, skills, experience, and geographical work location. In addition, most of our roles are eligible for variable pay in the form of bonus, commissions, and/or long-term incentives depending on the role. We also have a competitive and comprehensive benefits program that supports all aspects of your health and well-being, including but not limited to vacation time, sick time, 401(k), and health, dental and life insurances. Ameriprise Financial is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, national origin, genetic information, age, sexual orientation, citizenship, gender identity, disability, veteran status, marital status, family status or any other basis prohibited by law. Full-Time/Part-Time Full time Exempt/Non-Exempt Exempt Job Family Group Data Line of Business TECH Technology

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

You and Northwestern Mutual. We believe relationships are built on trust. That our lives and our work matter. And we're much stronger together than we are apart. These beliefs launched our company nearly 160 years ago. Today, they're just a few of the reasons why people choose to build careers at Northwestern Mutual. Our business is about helping people secure their financial futures, and that starts with putting people first - our clients, our employees and our field representatives. Northwestern Mutual is known for financial strength. We're strong, innovative and growing. Come grow with us. Job Description At Northwestern Mutual, we believe relationships are built on trust. That our lives and our work matter. These beliefs launched our company nearly 160 years ago. Today, they're just a few of the reasons why people choose to build careers at Northwestern Mutual. We're strong and growing. In a company with such a long and storied history, this may be the most exciting and important time to be a part of Northwestern Mutual. We're strong, innovative and growing. We invest in our people. We provide opportunities for employees to grow themselves, their career and in turn, our business. We care. We make a positive difference in our communities. Nationally, thousands have benefitted from our support of research and programs to fight childhood cancer. Each year, our Foundation, employees and financial representatives donate time, talent and financial support to causes they're passionate about. We are an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or status as a protected veteran, or any other characteristic protected by law. What's the role? We collaborate with internal business partners to implement data-driven solutions with measurable business value. Our innovative team of data scientists work in a highly collaborative, agile environment. As a Data Scientist, you will work with a diverse and talented team with responsibilities that include: Application of statistical and machine driven techniques to address business objectives and client needs; Building relationships and collaborating with stakeholders to gather, consolidate and validate business assumptions prior to undertaking analytical work; Collaborating within team to research, evaluate and select data sources; Partner with team to document requirements, assumptions and methodologies including validating, testing and implementation strategies; Designing rich data visualizations to communicate complex ideas to internal clients and leaders; Assuring compliance with regulatory and privacy requirements during design and implementation of database development, modeling and analysis projects; Creating clear and easy to understand presentations/reports Maintaining a high level of understanding of cutting edge data science techniques and tools; Bring Your Best! What this role needs: Graduate Degree in quantitative disciplines such as Data Science, Statistics, Mathematics, Economics, Computer Science or related field Experience in statistical modeling and data mining using large and complex datasets Strong intellectual curiosity and willingness to adapt data science concepts and tools to solve real-world, business problems Demonstrated experience in influencing business decisions; including knowing when to escalate issues. Strong verbal and written communication skills, listening and teamwork skills and effective presentation skills Demonstrated competencies such as excellent relationship management, creative problem solving, flexibility and willingness to challenge the status quo Programming experience with SAS, R and other software, SQL server or Hadoop experience is a plus. #LI-PB1 Req ID: 10401 Position Type: Regular Full Time Education Experience: Bachelor's Required Employment Experience: 6-8 years Licenses/Certifications: FLSA Status: Exempt Posting Date: 01/10/2017

ABS Global, a Genus Company, has an exciting opportunity. The Dairy Product Development group at ABS Global is seeking a data driven problem solver with a strong interest in applied data science and analytics to help shape the future of animal breeding. This role focuses on transforming large-scale genetic and phenotypic datasets into actionable insights that directly influence breeding strategies and economic outcomes. You will join a growing, technically oriented team that applies modern data workflows, analytics, and computational tools to real-world data (RWD). While grounded in the dairy industry, this position is well suited for candidates who enjoy working with datasets, databases, and analytical systems and want to apply those skills in a domain with tangible, global impact. The position is based in the general Madison, WI area and is physically located in DeForest, WI. You Will Collection, loading, and tracking of quality monthly farm data into ABS's Real World Database (RWD ) Recruitment and maintenance of RWD data including set-up of new herds, monitoring of on-farm software program changes, and database maintenance Providing support and resources on the RWD database including providing statistics on herd demographics and quality of on-farm data recording Providing support and resources for validation and incorporation of new farm software into RWD Identify areas for and help implement improvements to overall data workflow process Collaboration with dairy genetic research team in trait definition and development of proprietary genetic evaluations Provide support and training to others within company on dairy data and major dairy herd management software Data analysis and report development Requirements Bachelor's or Master's degree in Computer Science, Data Science, Data Analytics, Animal Science, Dairy Science, or a related quantitative field Strong intellectual curiosity with a demonstrated ability to translate complex data into actionable insights . Strong interest in data manipulation and data pipeline development. Experience with simple workflow automation and database familiarity Familiarity with Linux/Unix environments and experience with at least one programming or data analytics language or tool (e.g., R, My( SQL ) , , Python, Microsoft Access, Power BI), or a strong willingness to learn Understanding data management, data quality, and analytical workflows; experience with databases or automated data pipelines is a plus Experience with dairy farm management software (e.g., DairyComp 305, PCDART, DHIPlus, BoviSync, DelPro, Lely) is beneficial but not required Dairy Challenge experience preferred Strong written and verbal communication skills; fluent in English Willingness to learn and take feedback Business Overview Genus is an agricultural biotechnology pioneer. We are a global FTSE 250 company, headquartered in the UK, and listed on the London Stock Exchange. Genus PLC has a presence in over 70 countries and a global workforce of over 3,000 employees and growing. We are a worldwide leader in porcine and bovine animal genetics, partnering with farmers to transform how we nourish the world - a mission that is important to a sustainable future. ABS Global is a Genus company and is the world-leading provider of bovine genetics, reproductive services, technologies and udder care products. Marketing in more than 70 countries around the globe, ABS has been at the forefront of animal genetics and technology since its founding in 1941. We are uniquely positioned as a global player with a dedicated research and development function and an international distribution network. We breed and distribute the genes of the world's best bulls, scientifically selecting livestock whose offspring is designed to increase the profitability of our customers who are some of the world's biggest farmers and food producers. IntelliGen Technologies is the technology within ABS that develops sexed bovine genetics that helps customers maximize their profitability and reach their end goals in a fast and efficient manner. Our vision is clear: Pioneering animal genetic improvement to sustainably nourish the world. Benefits Overview At Genus, we offer a competitive salary. Benefits include health, dental, vision, FSA/HSA, long and short-term disability, 401K, tuition reimbursement, paid holidays and ETO (earned time off). This position will have opportunity for growth. Equal Employment Opportunities Genus is an equal opportunity employer. In accordance with anti-discrimination law, it is the purpose of this policy to effectuate these principles and mandates. Genus prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Genus conforms to the spirit as well as to the letter of all applicable laws and regulations. Recruitment Fraud Warning Genus plc will never ask you to provide fees or payment for computer, software, or other equipment or supplies during the recruitment and/or onboarding process. If you have any questions about your individual application, please contact the Genus Talent Acquisition team at ***********************.

ABS Global, a Genus Company, has an exciting opportunity. The Dairy Product Development group at ABS Global is seeking a data driven problem solver with a strong interest in applied data science and analytics to help shape the future of animal breeding. This role focuses on transforming large-scale genetic and phenotypic datasets into actionable insights that directly influence breeding strategies and economic outcomes. You will join a growing, technically oriented team that applies modern data workflows, analytics, and computational tools to real-world data (RWD). While grounded in the dairy industry, this position is well suited for candidates who enjoy working with datasets, databases, and analytical systems and want to apply those skills in a domain with tangible, global impact. The position is based in the general Madison, WI area and is physically located in DeForest, WI. You Will Collection, loading, and tracking of quality monthly farm data into ABS's Real World Database (RWD ) Recruitment and maintenance of RWD data including set-up of new herds, monitoring of on-farm software program changes, and database maintenance Providing support and resources on the RWD database including providing statistics on herd demographics and quality of on-farm data recording Providing support and resources for validation and incorporation of new farm software into RWD Identify areas for and help implement improvements to overall data workflow process Collaboration with dairy genetic research team in trait definition and development of proprietary genetic evaluations Provide support and training to others within company on dairy data and major dairy herd management software Data analysis and report development Requirements Bachelor's or Master's degree in Computer Science, Data Science, Data Analytics, Animal Science, Dairy Science, or a related quantitative field Strong intellectual curiosity with a demonstrated ability to translate complex data into actionable insights . Strong interest in data manipulation and data pipeline development. Experience with simple workflow automation and database familiarity Familiarity with Linux/Unix environments and experience with at least one programming or data analytics language or tool (e.g., R, My( SQL ) , Python, Microsoft Access, Power BI), or a strong willingness to learn Understanding data management, data quality, and analytical workflows; experience with databases or automated data pipelines is a plus Experience with dairy farm management software (e.g., DairyComp 305, PCDART, DHIPlus, BoviSync, DelPro, Lely) is beneficial but not required Dairy Challenge experience preferred Strong written and verbal communication skills; fluent in English Willingness to learn and take feedback Business Overview Genus is an agricultural biotechnology pioneer. We are a global FTSE 250 company, headquartered in the UK, and listed on the London Stock Exchange. Genus PLC has a presence in over 70 countries and a global workforce of over 3,000 employees and growing. We are a worldwide leader in porcine and bovine animal genetics, partnering with farmers to transform how we nourish the world - a mission that is important to a sustainable future. ABS Global is a Genus company and is the world-leading provider of bovine genetics, reproductive services, technologies and udder care products. Marketing in more than 70 countries around the globe, ABS has been at the forefront of animal genetics and technology since its founding in 1941. We are uniquely positioned as a global player with a dedicated research and development function and an international distribution network. We breed and distribute the genes of the world's best bulls, scientifically selecting livestock whose offspring is designed to increase the profitability of our customers who are some of the world's biggest farmers and food producers. IntelliGen Technologies is the technology within ABS that develops sexed bovine genetics that helps customers maximize their profitability and reach their end goals in a fast and efficient manner. Our vision is clear: Pioneering animal genetic improvement to sustainably nourish the world. Benefits Overview At Genus, we offer a competitive salary. Benefits include health, dental, vision, FSA/HSA, long and short-term disability, 401K, tuition reimbursement, paid holidays and ETO (earned time off). This position will have opportunity for growth. Equal Employment Opportunities Genus is an equal opportunity employer. In accordance with anti-discrimination law, it is the purpose of this policy to effectuate these principles and mandates. Genus prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Genus conforms to the spirit as well as to the letter of all applicable laws and regulations. Recruitment Fraud Warning Genus plc will never ask you to provide fees or payment for computer, software, or other equipment or supplies during the recruitment and/or onboarding process. If you have any questions about your individual application, please contact the Genus Talent Acquisition team at ***********************. Receive email notifications about our latest career opportunities, news and updates directly to your mailbox. Click here to sign up.

Datasite and its associated businesses are the global center for facilitating economic value creation for companies across the globe. From data rooms to AI deal sourcing and more. Here you'll find the finest technological pioneers: Datasite, Blueflame AI, Firmex, Grata, and Sherpany. They all, collectively, define the future for business growth. Apply for one position or as many as you like. Talent doesn't always just go in one direction or fit in a single box. We're happy to see whatever your superpower is and find the best place for it to flourish. Get started now, we look forward to meeting you.. Job Description: As a Principal Data Scientist, you will be the technical lead and primary "engine" of our data science initiatives. Reporting to the Director of Data Science, you are a high-level individual contributor responsible for solving our most complex, abstract business problems through advanced mathematical modeling. You will lead the end-to-end development of "Data Intelligence Products" - from high-dimensional forecasting and financial risk engines to ML-driven revenue optimization. While this is an IC role, you will set technical standard for the department, acting as a mentor to junior analysts and an architect for our predictive ecosystem. Responsibilities 1. Advanced Technical Execution (The Engine) Elite Predictive Modeling: Lead the research, design, and deployment of sophisticated models for time-series revenue forecasting, unit economics, and profitability. Risk & Uncertainty Quantification: Develop advanced statistical tools to predict financial risk and operational volatility, providing the business with probabilistic guardrails. Algorithmic Innovation: Move beyond standard libraries to build custom ML solutions that address the specific nuances of our finance and project data. Experimental Design: Architect rigorous A/B and multivariate testing frameworks to measure the causal impact of business decisions and product iterations. 2. Technical Architecture & Productization (The Bridge) Model Orchestration: Partner with the Data Engineering team to design the "last mile" of ML deployment-ensuring your models run reliably within our Snowflake/dbt environment. Seamless Integration: Ensure model outputs are elegantly integrated into Power BI semantic models, turning complex statistical distributions into actionable business signals. Code Excellence: Set the bar for the Data Science "Playbook," establishing rigorous standards for reproducible research, version control, and model validation. 3. Strategic & Technical Leadership (The Growth) Discovery & R&D: Proactively identify opportunities for ML/AI to drive ROI, staying ahead of industry trends in LLMs, deep learning, and predictive analytics. Abstract Problem Solving: Take high-level business queries from the Director or C-suite and translate them into mathematically sound, executable project plans. The Intelligence Stack: Expert-level mastery of Python and SQL. Extensive experience deploying production-grade models within a cloud environment (Snowflake preferred). The Ideal Candidate Profile Technical Mastery The ML Toolbelt: Deep expertise in the Python Data Science stack (e.g., scikit-learn, XGBoost, LightGBM) and deep learning frameworks (e.g., PyTorch or TensorFlow). Predictive Expertise: Deep experience in time-series forecasting, supervised learning, and causal inference. Time-Series & Forecasting: Mastery of libraries dedicated to financial and demand forecasting, such as Prophet, statsmodels, or sktime. MLOps & Deployment: Experience with model lifecycle management tools (e.g., MLflow, Weights & Biases) and deploying models via containers (Docker/Kubernetes) or as serverless functions. Statistical Logic: You don't just run models; you understand the "why" behind the math and can defend your methodology to technical and non-technical audiences. Mathematical Depth: Deep expertise in supervised/unsupervised learning, Bayesian statistics, time-series analysis, and causal inference. Generative AI & LLMs: Working knowledge of integrating LLMs (via LangChain, OpenAI API, or Hugging Face) into business workflows for unstructured data analysis. The Modern Data Stack: Proficiency in using Snowflake as a feature store and dbt for feature engineering. Business & Leadership Skills Finance Acumen: You understand the levers of a P&L and how predictive modeling impacts revenue and margin. Communication: Exceptional ability to simplify complex "black box" concepts for executive stakeholders. Qualifications 8-10+ years of experience in Data Science, with a track record of delivering high-impact predictive models in a corporate or production environment. Proven IC Leadership: Experience as a staff or principal-level contributor who has successfully led large-scale technical projects from concept to deployment. Modern Stack Experience: Deep familiarity with the Snowflake + dbt + Power BI ecosystem is a significant advantage. Proven track record of building and deploying predictive models using Python and SQL that achieved high business adoption. Toolkit Expertise: Hands-on experience with ML orchestration tools and automated testing for model performance (e.g., monitoring for Data Drift and Model Decay). Cloud Infrastructure: Experience with cloud-based ML platforms (e.g., Azure ML, AWS SageMaker, or Databricks) and how they integrate with data warehouses like Snowflake. Advanced Education: PhD or Master's degree in a highly quantitative discipline (e.g., Physics, Mathematics, Statistics, Computer Science, or Economics). The base salary range represents the estimated low and high end for this position based on a good faith assessment of the role and market data at the time of posting. Consistent with applicable law, each candidate's compensation offer may vary and will be determined based on but not limited to, your geographic region, skills, qualifications, and experience along with the requirements of the position. This position may be eligible for bonuses, commissions, or overtime if applicable. Benefits include health insurance (medical, dental, vision), a retirement savings plan, paid time off, and other employee benefits. Specific details will be provided during the interview process. Datasite reserves the right to modify this pay range at any time. $117,500.00 - $206,700.00 Our company is committed to fostering a diverse and inclusive workforce where all individuals are respected and valued. We are an equal opportunity employer and make all employment decisions without regard to race, color, religion, sex, gender identity, sexual orientation, age, national origin, disability, protected veteran status, or any other protected characteristic. We encourage applications from candidates of all backgrounds and are dedicated to building teams that reflect the diversity of our communities.

Required Skills & Experience Microsoft Fabric Expertise: Hands-on experience with Data Warehouse, Data Pipelines & Power BI integration. Data Modeling: Strong understanding of dimensional/star schemas and semantic model design to support analytics and reporting needs. ETL/ELT Pipeline Development: Ability to build robust, parameterized, and testable data pipelines for ingestion, transformation, and curation using Fabric Data Pipelines or comparable tools. Advanced SQL/T-SQL: Proven experience with query optimization, performance tuning, indexing, and complex data transformations. Programming/Scripting: Proficiency in Python or similar scripting languages for data wrangling, automation, and integration tasks. Cloud Architecture: Experience designing scalable, secure cloud-based data solutions that align with institutional standards. Metadata & Governance: Familiarity with metadata management, data lineage, and governance frameworks. DevOps & IaC: Knowledge of infrastructure-as-code and CI/CD practices for data version control and deployment (e.g., Git, Azure DevOps, Terraform). Healthcare Data Experience: Experience working with clinical data in a healthcare setting. Compliance & Security: Understanding of healthcare privacy and security regulations, including HIPAA, PHI handling, and de-identification. Cross-Functional Collaboration: Demonstrated success partnering with IT, data science, and clinical stakeholders to deliver data-driven solutions. Communication Skills: Ability to explain technical concepts clearly to both technical and non-technical audiences. Knowledge Sharing: Commitment to mentoring, documentation, and strengthening internal data engineering capabilities, especially within Microsoft Fabric. Preferred (Not Required): Data engineering or cloud certifications. Compensation:$60.00-75.00 hourly DOE We look forward to reviewing your application. We encourage everyone to apply - even if every box isn't checked for what you are looking for or what is required. PDSINC, LLC is an Equal Opportunity Employer.

**Introduction** At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk. **Your role and responsibilities** We are in search of a skilled Consultant Data Engineer to join our expanding team of experts. This role will be pivotal in the design and development of Snowflake Data Cloud solutions, encompassing responsibilities such as constructing data ingestion pipelines, establishing sound data architecture, and implementing stringent data governance and security protocols. The ideal candidate brings experience as a proficient data pipeline builder and adept data wrangler, deriving satisfaction from optimizing data systems from their foundational stages. Collaborating closely with database architects, data analysts, and data scientists, the Data Engineer will play a crucial role in ensuring a consistent and optimal data delivery architecture across ongoing customer projects. This position demands a self-directed individual comfortable navigating the diverse data needs of multiple teams, systems, and products. If you are enthusiastic about the prospect of contributing to a startup environment and supporting our customers in their next generation of data initiatives, we invite you to explore this opportunity. As of April 2025, Hakkoda has been acquired by IBM and will be integrated in the IBM organization. Your recruitment process will be managed by IBM. IBM will be the hiring entity This role can be performed from anywhere in the US. **Required technical and professional expertise** * Bachelor's degree in engineering, computer science or equivalent area * 3+yrs in related technical roles with experience in data management, database development, ETL, and/or data prep domains. * Experience developing data warehouses. * Experience building ETL / ELT ingestion pipelines. * Proficiency in using cloud platform services for data engineering tasks, including managed database services (Snowflake and its pros and cons vs Redshift, BigQuery etc) and data processing services (AWS Glue, Azure Data Factory, Google Dataflow). * Skills in designing and implementing scalable and cost-effective solutions using cloud services, with an understanding of best practices for security and compliance. * Knowledge of how to manipulate, process and extract value from large disconnected datasets. * SQL and Python scripting experience require, Scala and Javascript is a plus. * Cloud experience (AWS, Azure or GCP) is a plus. * Knowledge of any of the following tools is also a plus: Snowflake, Matillion/Fivetran or DBT. * Strong interpersonal skills including assertiveness and ability to build strong client relationships. * Strong project management and organizational skills. * Ability to support and work with cross-functional and agile teams in a dynamic environment. * Advanced English required. IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.