Data scientist jobs in Lakeville, MN

Job Title: Data Engineer Job Type: Contract to Hire USC of GC Holders only for contract to hire need having no sponsorship Must have requirements: GCP, SQL, Python, Airflow System design mindset Communication - ability to vocalize what they are doing, what/how they are achieving their work. Accents not an issue as long as they are comprehendible. Healthcare not required, but a nice to have. Location: Onsite - any 4 office location, focus is Minneapolis, Arlington, VA, Portland, OR, Raleigh, NC 100% onsite, then switch to 2-3x/week hybrid if they do well Job Summary: The Senior Cloud Data Engineer plays a key role in designing, building, and maintaining data pipelines and infrastructure using Google Cloud Platform (GCP) BigQuery. The incumbent will collaborate with data analysts, data scientists, and other engineers to ensure timely access to high-quality data for data-driven decision-making across the organization. The Senior Cloud Data Engineer is a highly technical person that has mastered hands-on coding in data processing solutions and scalable data pipelines to support analytics and exploratory analysis. This role ensures new business requirements are decomposed and implemented in the cohesive end-to-end designs that enable data integrity and quality, and best support BI and analytic capability needs that power decision-making. This includes building data acquisition programs that handle the business's growing data volume as part of the Data Lake in GCP BigQuery ecosystem and maintaining a robust data catalog. This is a Senior Data Engineering role within Data & Analytics' Data Core organization working closely with leaders of the Data & Analytics. The incumbent will continually improve the business's data and analytic solutions, processes, and data engineering capabilities. The incumbent embraces industry best practices and trends and, through acquired knowledge, drives process and system improvement opportunities. Responsibilities: • Design, develop, and implement data pipelines using GCP BigQuery, Dataflow, and Airflow for data ingestion, transformation, and loading. • Optimize data pipelines for performance, scalability, and cost-efficiency. • Ensure data quality through data cleansing, validation, and monitoring processes. • Develop and maintain data models and schemas in BigQuery to support various data analysis needs. • Automate data pipeline tasks using scripting languages like Python and tools like Dataflow. • Collaborate with data analysts and data scientists to understand data requirements and translate them into technical data solutions. • Leverage DevOps Terraform (IaC) to ensure seamless integration of data pipelines with CI/CD workflows. • Monitor and troubleshoot data pipelines and infrastructure to identify and resolve issues. • Stay up-to-date with the latest advancements in GCP BigQuery and other related technologies. • Document data pipelines and technical processes for future reference and knowledge sharing. Basic Requirements: • Bachelor's degree or equivalent experience in Computer Science, Mathematics, Information Technology or related field. • 5+ years of solid experience as a data engineer. • Strong understanding of data warehousing / datalake concepts and data modeling principles. • Proven experience with designing and implementing data pipelines using GCP BigQuery, Dataflow and Aiflow. • Strong SQL and scripting languages like Python (or similar) skills. • Experience with data quality tools and techniques. • Ability to work independently and as part of a team. • Strong problem-solving and analytical skills. • Passion for data and a desire to learn and adapt to new technologies. • Experience with other GCP services like Cloud Storage, Dataflow, and Pub/Sub etc. • Experience with cloud deployment and automation tools like Terraform. • Experience with data visualization tools like Tableau or Power BI or Looker. • Experience with healthcare data. • Familiarity with machine learning, artificial intelligence and data science concepts. • Experience with data governance and healthcare PHI data security best practices. • Ability to work independently on tasks and projects to deliver data engineering solutions. • Ability to communicate effectively and convey complex technical concepts as well as tasks / project updates. The projected hourly range for this position is $78 to $89. On-Demand Group (ODG) provides employee benefits which includes healthcare, dental, and vision insurance. ODG is an equal opportunity employer that does not discriminate on the basis of race, color, religion, gender, sexual orientation, age, national origin, disability, or any other characteristic protected by law.

P&C Reinsurance Actuary opening in NY or MN. Perform reinsurance pricing for Property, Cyber, Auto Liability, General Liability, Umbrella, and/or Professional Liability lines. Ideal candidate is FCAS with 10-30 years of P&C actuarial experience, including reinsurance pricing; knowledge of Python, R, or SQL a plus; strong interpersonal and communication skills required. (PR12975)

About the Company A global leader in the alternative investment and asset management space is expanding its Data & Analytics capabilities. The firm oversees multi-billion-dollar portfolios across credit, real estate, private equity, lending, and structured investments and maintains a high-performance, data-driven culture committed to integrity, innovation, and excellence. Position Overview We are hiring a Senior Data Engineer to join the Data & Analytics team and drive the evolution of our cloud-based data ecosystem. This individual will architect scalable data pipelines, optimize cloud infrastructure, and enable advanced analytics across multiple business units. The role is based in Minneapolis and requires close collaboration with investment, operations, and technology teams. Key Responsibilities Data Engineering Design, build, and optimize reliable ETL/ELT pipelines for large-scale data ingestion and transformation. Modernize and enhance the current data ecosystem to support high-quality, consistent data delivery. Manage cloud-based data infrastructure, including resource deployment, configuration, and performance tuning. Monitor system health, troubleshoot pipeline issues, and streamline processes for speed and efficiency. Implement robust data security, governance, and privacy controls for sensitive financial data. Stay updated with emerging technologies and best practices in cloud data engineering. Analytics & Business Enablement Develop data models, tools, and frameworks that support self-service analytics across the organization. Translate business needs into data-driven solutions such as dashboards, metrics, and analytical tools. Mentor analysts and help strengthen analytical maturity across the company. Support commercial and custom applications through configuration, administration, and maintenance. Required Qualifications Bachelor's degree in a STEM discipline (Computer Science, Engineering, Math, etc.). 10+ years overall experience in data engineering or analytics roles. 5+ years designing and maintaining ETL/ELT pipelines. 5+ years experience with data warehouses and analytics platforms. 5+ years strong SQL experience working with complex datasets. 5+ years experience with business intelligence tools (Looker, Power BI, Sigma, Tableau, Cognos, etc.). 5+ years scripting in Python or Scala. 5+ years cloud experience, preferably AWS. 5+ years working with data governance, data quality, and related tools. Hands-on experience with Infrastructure as Code (Terraform, CloudFormation, ARM templates, etc.). Familiarity with the alternative investments / private equity / hedge fund domain preferred. Strong communication, stakeholder management, and cross-team collaboration skills. Ability to thrive in a fast-paced environment with multiple competing priorities. U.S. Citizen or Permanent Resident only (ITAR requirement). Must work onsite 3-4 days/week in Minneapolis - no remote or hybrid exceptions Note: This role requires U.S. Citizenship or Permanent Residency (ITAR compliance). Candidates must already live in Minneapolis or be willing to relocate prior to start. Onsite attendance 3-4 days per week is mandatory - no remote exceptions. Do not apply if you are OPT students with STEP OPT EAD; Due to ITAR Complaince, position requires USC or Green Card which is mandatory;

Collaborate with Innovative 3Mers Around the World Choosing where to start and grow your career has a major impact on your professional and personal life, so it's equally important you know that the company you choose to work at, and its leaders, will support and guide you. With a diversity of people, global locations, technologies, and products, 3M is a place where you can collaborate with other curious, creative 3Mers. This position provides an opportunity to transition from other private, public, government, or military experience to a 3M career. The Impact You'll Make in this Role As a Machine Learning/Vision Specialist - Process Data Scientist, you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative and diverse people around the world. Here, you will make an impact by: * Integrating diverse data sources into a cohesive analysis framework using industry best practices and documentation. * Driving advanced model adoption through rigorous understanding of the state-of-the-art data science methodologies. * Collaborating with the Corporate Research Process Lab to develop and implement advanced algorithms for new process development of films, adhesives, nonwovens, and other high-value articles. * Designing and integrating advanced data analytics schemes which may include predictive modeling, nonlinear analysis, sensor data integration, and machine vision techniques. * Driving successful technology scale-up from laboratory to manufacturing and assisting with troubleshooting process and product quality issues. * Effectively documenting, communicating, and disseminating research results through the framework of 3M's new technology and product introduction programs. * Providing data science and machine vision expertise to support manufacturing operations and transfer technology to 3M's technical community through consulting and teaching. Your Skills and Expertise To set you up for success in this role from day one, 3M requires (at a minimum) the following qualifications: * Bachelor's degree or higher in Chemical Engineering, Mechanical Engineering, Computer Science, Data Science, or Machine Learning/AI (completed and verified prior to start) from an accredited university. Additional qualifications that could help you succeed even further in this role include: * A Master's or Ph.D. degree with demonstrated expertise in machine learning, data science, and machine vision. * Strong understanding of data science techniques and theory, including machine vision. Ability to integrate diverse data sources into a cohesive analysis framework using industry best practices and documentation. * Over 3 years of experience in machine learning, data science, and machine vision in a private, public, government, or military environment. * Evidence of strong, hands-on skills with industrial data analysis including experience with data integration, programming, machine learning models, and machine vision systems. * Experience with a wide range of programming languages including Python and C++. * Skills relating to the following: machine learning model development, machine vision systems, open source software development, Linux, GitHub, cloud computing. * Excellent interpersonal skills and the ability to excel in cross-functional environments. Work location: * On site in Woodbury, MN Travel: May include up to 10% domestic Relocation Assistance: May be authorized Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status). Supporting Your Well-being 3M offers many programs to help you live your best life - both physically and financially. To ensure competitive pay and benefits, 3M regularly benchmarks with other companies that are comparable in size and scope. Chat with Max For assistance with searching through our current job openings or for more information about all things 3M, visit Max, our virtual recruiting assistant on 3M.com/careers. Applicable to US Applicants Only:The expected compensation range for this position is $141,150 - $172,517, which includes base pay plus variable incentive pay, if eligible. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate's relevant knowledge, training, skills, work location, and/or experience. In addition, this position may be eligible for a range of benefits (e.g., Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits, etc.). Additional information is available at: *************************************************************** Good Faith Posting Date Range 11/14/2025 To 12/14/2025 Or until filled All US-based 3M full time employees will need to sign an employee agreement as a condition of employment with 3M. This agreement lays out key terms on using 3M Confidential Information and Trade Secrets. It also has provisions discussing conflicts of interest and how inventions are assigned. Employees that are Job Grade 7 or equivalent and above may also have obligations to not compete against 3M or solicit its employees or customers, both during their employment, and for a period after they leave 3M. Learn more about 3M's creative solutions to the world's problems at ********** or on Instagram, Facebook, and LinkedIn @3M. Responsibilities of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties. Safety is a core value at 3M. All employees are expected to contribute to a strong Environmental Health and Safety (EHS) culture by following safety policies, identifying hazards, and engaging in continuous improvement. Pay & Benefits Overview: https://**********/3M/en_US/careers-us/working-at-3m/benefits/ 3M does not discriminate in hiring or employment on the basis of race, color, sex, national origin, religion, age, disability, veteran status, or any other characteristic protected by applicable law. Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly. 3M Global Terms of Use and Privacy Statement Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at 3M are conditioned on your acceptance and compliance with these terms. Please access the linked document by clicking here, select the country where you are applying for employment, and review. Before submitting your application, you will be asked to confirm your agreement with the terms.

Niron Magnetics is scaling the world's first advanced manufacturing process for the mass production of permanent magnets powered by its breakthrough material formulation. The company's proprietary magnet technology based on Iron Nitride enables magnets that are inherently high magnetization, free of rare earths and other critical materials, solve supply chain reliability challenges, will drive innovation in various industries. Headquartered in Minneapolis, MN, Niron Magnetics is comprised of a team of professionals with a desire to make a positive impact on the global community. We were named one of “America's Top GreenTech Companies” for 2024 and 2025 by TIME Magazine and the “Innovation of the Year” at the 2025 mHUB Fourth Revolution Awards. Our team is made up of people who think big, dare to innovate, and strive to impact the planet through technological innovation for our customers. Ready to work alongside amazing people, solve complex problems, and leave a legacy? Join us. What you'll do We are seeking a highly analytical and hands-on Experimentalist / Data Scientist with deep expertise in Design of Experiments (DOE) to lead experimental efforts in compaction and magnetics research. This role is ideal for someone who thrives at the intersection of physical experimentation and data-driven insights, and who can translate complex material behaviors into actionable engineering knowledge. Design and execute experiments focused on powder compaction, magnetic field interactions, and related material phenomena. Apply DOE methodologies to optimize experimental setups and extract meaningful insights. Develop and maintain experimental protocols, ensuring reproducibility and statistical rigor. Analyze large datasets using statistical and machine learning tools to uncover trends, correlations, and performance drivers. Collaborate with cross-functional teams to validate hypotheses and refine experimental designs. Build predictive models to support material behavior forecasting and process optimization. Document findings in technical reports and present results to internal stakeholders and external collaborators. What we're looking for Advanced degree (M.S. or Ph.D.) in Materials Science, Physics, Mechanical Engineering, Statistics, or related fields. Proven experience with DOE techniques and statistical modeling in a laboratory or industrial setting. Strong background in materials characterization, especially in compaction mechanics and magnetic properties. Proficiency in data analysis tools such as Python, R, MATLAB, or JMP. Familiarity with instrumentation for compaction (e.g., press systems) and magnetics (e.g., VSM, HGR). Excellent problem-solving skills and a passion for experimental rigor. Strong communication skills and ability to work in a multidisciplinary environment. Nice to have Experience with machine learning for experimental data interpretation. Knowledge of powder metallurgy or sintering processes. Familiarity with finite element modeling or simulation tools. Our pay and benefits Salary: $100,000 - $150,000 annually, depending on education, experience and skills Equity position in Niron via stock option grant Comprehensive medical, dental, and vision insurance Mental healthcare 401k plan with company match Paid vacation, sick time, and holidays Experience in a fun, high-performing, manufacturing environment

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. Datavant is looking for an enthusiastic and meticulous Data Scientist to join our growing team, which builds machine learning models for use across Datavant in multiple verticals and for multiple customer types. As part of the Data Science team, you will play a crucial role in developing new product features and automating existing internal processes to drive innovation across Datavant. You will work with tens of millions of patients' worth of healthcare data to develop models, contributing to the entirety of the model development lifecycle from ideation and research to deployment and monitoring. You will collaborate with an experienced team of Data Scientists and Machine Learning Engineers along with application Engineers and Product Managers across the company to achieve Datavant's AI-enabled future. **You Will:** + Play a key role in the success of our products by developing models for NLP (and other) tasks. + Perform error analysis, data cleaning, and other related tasks to improve models. + Collaborate with your team by making recommendations for the development roadmap of a capability. + Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines. + Understand product use-cases and define key performance metrics for models according to business requirements. + Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.). **What You Will Bring to the Table:** + Advanced degree in computer science, data science, statistics, or a related field, or equivalent work experience. + 4+ years of experience with data science and machine learning in an industry setting. + 4+ years experience with Python. + Experience designing and building NLP models for tasks such as classification, named-entity recognition, and dependency parsing. + Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc. + Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow. + Demonstrated ability to drive results in a team environment and contribute to team decision-making in the face of ambiguity. + Strong time management skills and demonstrable experience of prioritising work to meet tight deadlines. + Initiative and ability to independently explore and research novel topics and concepts as they arise. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $136,000-$170,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . 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As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.) 8. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience 9. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $173,000/year to $242,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Work closely with engineering and marketing teams to identify and answer important product questions to drive business growth. Create machine learning solutions for a diverse set of business problems. Employ structured approaches to leveraging large data sets to uncover new insights. Collaborate closely with data analysts, data engineers, and business and project stakeholders to incorporate their expertise into data science solutions. Present and defend results to leadership audiences, both technical and non-technical. Our team philosophy encourages knowledge sharing so you will contribute to the research community through technical papers and presentations published both internally and externally. Tech Stack SQL Python Jupyter Notebook (Optional) R script Experience & Qualifications Passion in modern technology and ability to work in a start-up environment. Efficient on Jupyter Notebook Good mathematic and algorithm background Strong influencing skills essential. Capable of assertively interacting with business stakeholders and counterparts in order to resolve day to day issues. Highly organized individual with attention to detail and excellent ability to execute on deliverables.

* 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

Ameriprise Financial, Inc. seeks a Director - Data Scientist, in Minneapolis, MN. Key Responsibilities To identify, develop, and implement analytical solutions, while leveraging tools such as predictive modeling, advanced machine learning techniques, simulation, and optimization solutions. Identify/interpret business needs, define high-level business requirements, strategy, technical risks, and scope, and engage with business leaders and analysts to provide analytical thought leadership for business problems. Remote work permitted 2 days per week. #LI_DNI Required Qualifications Master's degree in business analytics, statistics, or a related field, plus 3 years of experience in the following: advanced statistical concepts and techniques with skills in linear algebra; conducting hands-on analytics projects using advanced statistical methods, including generalized regression models, Bayesian methods, Random Forest, gradient boosting, neural networks, machine learning, and clustering; statistical programming (SAS, Python, SQL) and data visualization software in a data-rich environment. Salary Range: $165,800 - $194,600. To apply, please visit joinameriprise.com. Job Req #R25_0000003908. General information on company benefits, and other compensation, including health and retirement, can be found at ******************************************************* 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 $165,800 - $194,600 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 MARKT Marketing

Who Are We? Taking care of our customers, our communities and each other. That's the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. Job Category Data Science Compensation Overview The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards. Salary Range $161,400.00 - $266,300.00 Target Openings 1 What Is the Opportunity? As a Staff Data Scientist, you will build complex models that solve key business problems to support underwriting, risk control, and business operations. This may include the use of the most advanced technical tools in the data science practice, allowing you to develop sophisticated solutions that enhance risk segmentation, streamline decision-making processes, and drive operational excellence across these critical business functions. What Will You Do? * Lead business or technical projects focused on the design or development of analytical solutions. * Lead development of community best practices in AI/Machine Learning, statistical techniques, and coding. * Establish a practice/process of sharing expertise with the community through discussions, presentations, or peer reviews. * Begin to challenge conventional thinking where appropriate. * Anticipate potential objections and persuade peers, technical and business leaders to adopt a different point of view. * Guide technical strategy of teams through own technical expertise. * Set and manage expectations with business partners for multiple projects, generate ideas and build consensus, and be aware of potential conflicts. * Communicate analysis, insights, and results to team, peers, business partners. * Partner with cross-functional teams and leaders to support the successful execution of data science strategies. * Be a mentor or resource for less experienced analytic talent, onboard new employees and interns, and provide support for recruiting and talent assessment efforts. * Collaborate with Sr Staff Data Scientist on various training and skill development initiatives, including delivering training to the analytics community. * Perform other duties as assigned. What Will Our Ideal Candidate Have? * Subject matter expertise in modeling/ research/ analytics or actuarial required * Subject matter expertise in value creation and business model concepts * Subject matter expertise in multiple statistical software programs * Ability to develop highly complex models, interpret model results and recommend adjustments * Expertise in advanced statistics underlying data models * Ability to apply emerging statistical procedures to complex work * Subject matter expertise in 3-5 of the following: Regression, Classification, Machine Vision, Natural Language Processing, Deep Learning and Statistical modeling. What is a Must Have? * Master's degree in Statistics, Mathematics, Decision Sciences, Actuarial Science or related analytical STEM field plus five years of experience or any suitable and equivalent combination of education and work experience. * Heavy concentration in mathematics, including statistics and programming, business intelligence/analytics, as well as data science tools and research using large data sets. Additional verification of specific coursework will be required. What Is in It for You? * Health Insurance: Employees and their eligible family members - including spouses, domestic partners, and children - are eligible for coverage from the first day of employment. * Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers. * Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays. * Wellness Program: The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs. * Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice. Employment Practices Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences. In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions. If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you. Travelers reserves the right to fill this position at a level above or below the level included in this posting. To learn more about our comprehensive benefit programs please visit *********************************************************

At Polaris Inc., we have fun doing what we love by driving change and innovation. We empower employees to take on challenging assignments and roles with an elevated level of responsibility in our agile working environment. Our people make us who we are, and we create incredible products and experiences that empower us to THINK OUTSIDE. JOB SUMMARY: The Data Scientist role is responsible for using their skillset to create recommendations for complex business decisions for Marketing at Polaris using a wide variety of data science techniques - from exploratory data analysis to predictive analytics. In addition to advanced analytics skills, the ideal candidate is proficient at integrating and preparing large and varied datasets, designing and implementing production algorithm scoring, and communicating results effectively to both technical and non-technical audiences. Your focus will be on Marketing Analytics across Polaris, optimizing decisions related to marketing personalization, channel performance and media investment. You are primarily a data scientist but are passionate about developing advanced end-to-end analytics and technology solutions that drive value for the business and customer. Our Data Scientists are instrumental in using data to help drive Polaris forward as we pioneer product breakthroughs and enriching experiences that help people work and play outside. ESSENTIAL DUTIES & RESPONSIBILITIES: Acquire a deep understanding of marketing and business problems facing Polaris and develop end-to-end data driven solutions Extract, cleanse, and combine large datasets from multiple sources and systems Perform exploratory and targeted analyses, with a wide variety of statistical methods including clustering, regression, decision tree/random forest, time series, neural network, and others Collaborate cross-functionally to arrive at actionable insights Synthesize results with business input to drive measurable change and effectively communicate technical analyses and results to business management Integrate and productionize model results into both cloud and edge compute hardware platforms Ensure quality of data & solutions throughout development process Utilize existing templates to diligently write up findings and results for storage in a central location Collect feedback from business users to continuously improve data science products Manage suite of customer, personalization, and marketing algorithms and apply to business problems Marketing test design and best practices for measurement Leverage knowledge of marketing operations to identify opportunities for new marketing algorithms and new variables to introduce into existing algorithms Developing new in platform marketing measurement tools with Meta, Tradedesk and Google Support development of innovative Marketing capabilities that leverage technology advancements by synthesizing complex datasets and providing predictive algorithms Support Marketing team with statistical expertise consulting and apply to test results or marketing performance SKILLS & KNOWLEDGE Bachelor's degree in Applied Statistics/Mathematics, Data or Computer Science, or work experience equivalent. Advanced degree in a quantitative field preferred 2+ years of professional work experience (post schooling & internships) in a predictive analytics-focused role Strong understanding of statistical methods and predictive/analytical modeling techniques and practices Strong experience with one or more data mining/predictive modeling tools: SQL, R, Python, Snowflake Proficient with one or more data visualization tools: Tableau, Power BI Experience with data preparation, rationalization, and processing in a cloud environment - Azure a plus Ability to effectively foster cross-functional relationships across various teams (e.g., data & analytics teams, sales, supply chain, etc.) and develop a good view of how the business operates so that analytical results can be framed in a business context. Excellent attention to detail and strong organizational skills to manage multiple work requests and projects. Ability to take on diverse ad-hoc data science requests involving multiple factors that have various scope/goals High energy and results oriented. Looking to make improvements and change Strong verbal and written communication skills WORKING CONDITIONS Office environment Limited travel may be required This position is not eligible for sponsorship The starting pay range for Minnesota is $85,000 to $112,000 per year. Individual salaries and positioning within the range are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills, and geography. While individual pay could fall anywhere in the range based on these factors, it is not common to start at the high end or top of the range. #LI-GR1 #LI-Hybrid To qualify for this position, former employees must be eligible for rehire, and current employees must be in good standing. We are an ambitious, resourceful, and driven workforce, which empowers us to THINK OUTSIDE. Apply today! At Polaris we put our employees first, by offering a holistic approach to their health and financial wellbeing. Polaris is proud to offer competitive compensation, including a market-leading profit-sharing plan that is fundamental to our pay-for-performance culture. At Polaris, employees are owners of the company through company contributions to our Employee Stock Ownership Plan and discounted employee stock purchases plan. Employees receive a generous matching contribution to 401(k), financial wellness education and consultation to plan for their financial future. In addition to competitive pay, Polaris provides a comprehensive suite of benefits, including health, dental, and vision insurance, wellness programs, paid time off, gym & personal training reimbursement, life insurance and disability offerings. Through the Polaris Foundation and our Polaris Gives paid volunteer time off, we support employees who actively volunteer their time, efforts, and passions to improve the health and wellbeing of the communities in which they live, play and work. Employees at Polaris drive our success and are rewarded for their commitment. About Polaris As the global leader in powersports, Polaris Inc. (NYSE: PII) pioneers product breakthroughs and enriching experiences and services that have invited people to discover the joy of being outdoors since our founding in 1954. Polaris' high-quality product line-up includes the Polaris RANGER , RZR and Polaris GENERAL™ side-by-side off-road vehicles; Sportsman all-terrain off-road vehicles; military and commercial off-road vehicles; snowmobiles; Indian Motorcycle mid-size and heavyweight motorcycles; Slingshot moto-roadsters; Aixam quadricycles; Goupil electric vehicles; and pontoon and deck boats, including industry-leading Bennington pontoons. Polaris enhances the riding experience with a robust portfolio of parts, garments, and accessories. Proudly headquartered in Minnesota, Polaris serves more than 100 countries across the globe. *************** EEO Statement Polaris Inc. is an Equal Opportunity Employer and will make all employment-related decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, marital status, familial status, status with regard to public assistance, membership or activity in a local commission, protected veteran status, or any other status protected by applicable law. Applicants with a disability that are in need of an accommodation to complete the application process, or otherwise need assistance or an accommodation in the recruiting process, should contact Human Resources at ************ or ****************************** . To read more about employment discrimination protection under U.S. federal law, see: Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov) .

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. Auto Req. ID1004983BR Location Number 900010 Corporate 1 MN Address 7601 Penn Avenue South$104142 - $186558 /yr Pay Range $104142 - $186558 /yr

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.

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

**Collaborate with Innovative 3Mers Around the World** Choosing where to start and grow your career has a major impact on your professional and personal life, so it's equally important you know that the company you choose to work at, and its leaders, will support and guide you. With a diversity of people, global locations, technologies, and products, 3M is a place where you can collaborate with other curious, creative 3Mers. This position provides an opportunity to transition from other private, public, government, or military experience to a 3M career. **The Impact You'll Make in this Role** As a Machine Learning/Vision Specialist - Process Data Scientist, you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative and diverse people around the world. Here, you will make an impact by: + Integrating diverse data sources into a cohesive analysis framework using industry best practices and documentation. + Driving advanced model adoption through rigorous understanding of the state-of-the-art data science methodologies. + Collaborating with the Corporate Research Process Lab to develop and implement advanced algorithms for new process development of films, adhesives, nonwovens, and other high-value articles. + Designing and integrating advanced data analytics schemes which may include predictive modeling, nonlinear analysis, sensor data integration, and machine vision techniques. + Driving successful technology scale-up from laboratory to manufacturing and assisting with troubleshooting process and product quality issues. + Effectively documenting, communicating, and disseminating research results through the framework of 3M's new technology and product introduction programs. + Providing data science and machine vision expertise to support manufacturing operations and transfer technology to 3M's technical community through consulting and teaching. **Your Skills and Expertise** To set you up for success in this role from day one, 3M requires (at a minimum) the following qualifications: + Bachelor's degree or higher in Chemical Engineering, Mechanical Engineering, Computer Science, Data Science, or Machine Learning/AI (completed and verified prior to start) from an accredited university. Additional qualifications that could help you succeed even further in this role include: + A Master's or Ph.D. degree with demonstrated expertise in machine learning, data science, and machine vision. + Strong understanding of data science techniques and theory, including machine vision. Ability to integrate diverse data sources into a cohesive analysis framework using industry best practices and documentation. + Over 3 years of experience in machine learning, data science, and machine vision in a private, public, government, or military environment. + Evidence of strong, hands-on skills with industrial data analysis including experience with data integration, programming, machine learning models, and machine vision systems. + Experience with a wide range of programming languages including Python and C++. + Skills relating to the following: machine learning model development, machine vision systems, open source software development, Linux, GitHub, cloud computing. + Excellent interpersonal skills and the ability to excel in cross-functional environments. **Work location:** + **On site in Woodbury, MN** **Travel: May include up to 10% domestic** **Relocation Assistance: May be authorized** **Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status).** **Supporting Your Well-being** 3M offers many programs to help you live your best life - both physically and financially. To ensure competitive pay and benefits, 3M regularly benchmarks with other companies that are comparable in size and scope. **Chat with Max** For assistance with searching through our current job openings or for more information about all things 3M, visit Max, our virtual recruiting assistant on 3M.com/careers. Applicable to US Applicants Only:The expected compensation range for this position is $141,150 - $172,517, which includes base pay plus variable incentive pay, if eligible. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate's relevant knowledge, training, skills, work location, and/or experience. In addition, this position may be eligible for a range of benefits (e.g., Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits, etc.). Additional information is available at: **************************************************************** Good Faith Posting Date Range 11/14/2025 To 12/14/2025 Or until filled All US-based 3M full time employees will need to sign an employee agreement as a condition of employment with 3M. This agreement lays out key terms on using 3M Confidential Information and Trade Secrets. It also has provisions discussing conflicts of interest and how inventions are assigned. Employees that are Job Grade 7 or equivalent and above may also have obligations to not compete against 3M or solicit its employees or customers, both during their employment, and for a period after they leave 3M. Learn more about 3M's creative solutions to the world's problems at ********** or on Instagram, Facebook, and LinkedIn @3M. Responsibilities of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties. Safety is a core value at 3M. All employees are expected to contribute to a strong Environmental Health and Safety (EHS) culture by following safety policies, identifying hazards, and engaging in continuous improvement. Pay & Benefits Overview: https://**********/3M/en\_US/careers-us/working-at-3m/benefits/ 3M does not discriminate in hiring or employment on the basis of race, color, sex, national origin, religion, age, disability, veteran status, or any other characteristic protected by applicable law. **Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.** **3M Global Terms of Use and Privacy Statement** Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at 3M are conditioned on your acceptance and compliance with these terms. Please access the linked document by clicking here (************************************************************************************************* , select the country where you are applying for employment, and review. Before submitting your application, you will be asked to confirm your agreement with the terms. At 3M we apply science in collaborative ways to improve lives daily as our employees connect with customers all around the world. Learn more about 3M's creative solutions to global challenges at ********** or on Twitter @3M or @3MNews. 3M does not discriminate in hiring or employment on the basis of race, color, sex, national origin, religion, age, disability, veteran status, or any other characteristic protected by applicable law.

**Who Are We?** Taking care of our customers, our communities and each other. That's the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. **Job Category** Data Science **Compensation Overview** The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards. **Salary Range** $161,400.00 - $266,300.00 **Target Openings** 1 **What Is the Opportunity?** As a Staff Data Scientist, you will build complex models that solve key business problems to support underwriting, risk control, and business operations. This may include the use of the most advanced technical tools in the data science practice, allowing you to develop sophisticated solutions that enhance risk segmentation, streamline decision-making processes, and drive operational excellence across these critical business functions. **What Will You Do?** + Lead business or technical projects focused on the design or development of analytical solutions. + Lead development of community best practices in AI/Machine Learning, statistical techniques, and coding. + Establish a practice/process of sharing expertise with the community through discussions, presentations, or peer reviews. + Begin to challenge conventional thinking where appropriate. + Anticipate potential objections and persuade peers, technical and business leaders to adopt a different point of view. + Guide technical strategy of teams through own technical expertise. + Set and manage expectations with business partners for multiple projects, generate ideas and build consensus, and be aware of potential conflicts. + Communicate analysis, insights, and results to team, peers, business partners. + Partner with cross-functional teams and leaders to support the successful execution of data science strategies. + Be a mentor or resource for less experienced analytic talent, onboard new employees and interns, and provide support for recruiting and talent assessment efforts. + Collaborate with Sr Staff Data Scientist on various training and skill development initiatives, including delivering training to the analytics community. + Perform other duties as assigned. **What Will Our Ideal Candidate Have?** + Subject matter expertise in modeling/ research/ analytics or actuarial required + Subject matter expertise in value creation and business model concepts + Subject matter expertise in multiple statistical software programs + Ability to develop highly complex models, interpret model results and recommend adjustments + Expertise in advanced statistics underlying data models + Ability to apply emerging statistical procedures to complex work + Subject matter expertise in 3-5 of the following: Regression, Classification, Machine Vision, Natural Language Processing, Deep Learning and Statistical modeling. **What is a Must Have?** + Master's degree in Statistics, Mathematics, Decision Sciences, Actuarial Science or related analytical STEM field plus five years of experience or any suitable and equivalent combination of education and work experience. + Heavy concentration in mathematics, including statistics and programming, business intelligence/analytics, as well as data science tools and research using large data sets. Additional verification of specific coursework will be required. **What Is in It for You?** + **Health Insurance** : Employees and their eligible family members - including spouses, domestic partners, and children - are eligible for coverage from the first day of employment. + **Retirement:** Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers. + **Paid Time Off:** Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays. + **Wellness Program:** The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs. + **Volunteer Encouragement:** We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice. **Employment Practices** Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences. In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions. If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email (*******************) so we may assist you. Travelers reserves the right to fill this position at a level above or below the level included in this posting. To learn more about our comprehensive benefit programs please visit ******************************************************** .

RiverSource Distributors, Inc. seeks a Senior Data Scientist Manager, in Minneapolis, MN. Key Responsibilities To manage the creation and usage of large data sets and provide information-based decision logic and predictive modeling solutions to translate modeling and analytic output into business knowledge, insight, and applications. Identify, develop, and implement complex analytical solutions by leveraging predictive modeling, advanced machine learning techniques, simulation, optimization solutions, etc. Remote work permitted 2 days per week. #LI_DNI Required Qualifications Master's degree in business analytics, or a related field, plus 3 years of experience in business and functional requirements elicitation, translation, and documentation, as well as systems database performance analysis. Salary Range: $139,298 - $170,000. To apply, please visit joinameriprise.com. Job Req #R25_0000004121. General information on company benefits, and other compensation, including health and retirement, can be found at ******************************************************* 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 $139,298 - $170,000 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 RSA Annuities

**What Data Science contributes to Cardinal Health** The Data & Analytics Function oversees the analytics lifecycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytics products, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. This role will support the Major Rugby business unit, a legacy supplier of multi-source, generic pharmaceuticals for over 60 years. Major Rugby provides over 1,000 high-quality, Rx, OTC and vitamin, mineral and supplement products to the acute, retail, government and consumer markets. This role will focus on leveraging advanced analytics, machine learning, and optimization techniques to solve complex challenges related to demand forecasting, inventory optimization, logistics efficiency and risk mitigation. Our goal is to uncover insights and drive meaningful deliverables to improve decision making and business outcomes. **Responsibilities:** + Leads the design, development, and deployment of advanced analytics and machine learning models to solve complex business problems + Collaborates cross-functionally with product, engineering, operations, and business teams to identify opportunities for data-driven decision-making + Translates business requirements into analytical solutions and delivers insights that drive strategic initiatives + Develops and maintains scalable data science solutions, ensuring reproducibility, performance, and maintainability + Evaluates and implements new tools, frameworks, and methodologies to enhance the data science toolkit + Drives experimentation and A/B testing strategies to optimize business outcomes + Mentors junior data scientists and contributes to the development of a high-performing analytics team + Ensures data quality, governance, and compliance with organizational and regulatory standards + Stays current with industry trends, emerging technologies, and best practices in data science and AI + Contributes to the development of internal knowledge bases, documentation, and training materials **Qualifications:** + 8-12 years of experience in data science, analytics, or a related field (preferred) + Advanced degree (Master's or Ph.D.) in Data Science, Computer Science, Engineering, Operations Research, Statistics, or a related discipline preferred + Strong programming skills in Python and SQL; + Proficiency in data visualization tools such as Tableau, or Looker, with a proven ability to translate complex data into clear, actionable business insights + Deep understanding of machine learning, statistical modeling, predictive analytics, and optimization techniques + Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is highly desirable + Excellent communication and storytelling skills, with the ability to influence stakeholders and present findings to both technical and non-technical audiences + Experience in Supervised and Unsupervised Machine Learning including Classification, Forecasting, Anomaly Detection, Pattern Detection, Text Mining, using variety of techniques such as Decision trees, Time Series Analysis, Bagging and Boosting algorithms, Neural Networks, Deep Learning and Natural Language processing (NLP). + Experience with PyTorch or other deep learning frameworks + Strong understanding of RESTful APIs and / or data streaming a big plus + Required experience of modern version control (GitHub, Bitbucket) + Hands-on experience with containerization (Docker, Kubernetes, etc.) + Experience with product discovery and design thinking + Experience with Gen AI + Experience with supply chain analytics is preferred **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:** 12/02/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote \#LI-AP4 _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 (***************************************************************************************************************************