Senior data scientist jobs in Woodbury, MN

# Job Description: AI Task Evaluation & Statistical Analysis Specialist ## Role Overview We're seeking a data-driven analyst to conduct comprehensive failure analysis on AI agent performance across finance-sector tasks. You'll identify patterns, root causes, and systemic issues in our evaluation framework by analyzing task performance across multiple dimensions (task types, file types, criteria, etc.). ## Key Responsibilities - **Statistical Failure Analysis**: Identify patterns in AI agent failures across task components (prompts, rubrics, templates, file types, tags) - **Root Cause Analysis**: Determine whether failures stem from task design, rubric clarity, file complexity, or agent limitations - **Dimension Analysis**: Analyze performance variations across finance sub-domains, file types, and task categories - **Reporting & Visualization**: Create dashboards and reports highlighting failure clusters, edge cases, and improvement opportunities - **Quality Framework**: Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings - **Stakeholder Communication**: Present insights to data labeling experts and technical teams ## Required Qualifications - **Statistical Expertise**: Strong foundation in statistical analysis, hypothesis testing, and pattern recognition - **Programming**: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis - **Data Analysis**: Experience with exploratory data analysis and creating actionable insights from complex datasets - **AI/ML Familiarity**: Understanding of LLM evaluation methods and quality metrics - **Tools**: Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL ## Preferred Qualifications - Experience with AI/ML model evaluation or quality assurance - Background in finance or willingness to learn finance domain concepts - Experience with multi-dimensional failure analysis - Familiarity with benchmark datasets and evaluation frameworks - 2-4 years of relevant experience

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.

Title: Senior Data Platform Engineer - Oracle/Snowflake/Azure Job Type: Contract-to-Hire (6 months) *All candidates must be interested & eligible for conversion without sponsorship. Industry: Health Insurance Pay range: $65 to $78/hour Key Technologies: Oracle, Snowflake, Azure Cloud, MS SQL --- About the Role We are seeking a highly skilled Senior Data Platform Engineer to join a leading healthcare organization headquartered in Minnetonka, MN. This role focuses on designing, implementing, and maintaining both legacy and modern data platforms that support enterprise operations. You will collaborate with experienced engineers and architects to optimize databases, develop data pipelines, and drive cloud integration initiatives. This position is ideal for a seasoned professional who thrives on solving complex data challenges, contributing to modernization efforts, and working in a fast-paced Agile environment. Responsibilities Design, build, and maintain robust data pipelines across cloud and on-premises environments. Administer, monitor, and optimize databases including Oracle, Snowflake, Azure SQL, and MS SQL. Manage database provisioning, configuration, patching, and backup/recovery processes. Collaborate with developers, analysts, and DBAs to troubleshoot issues and optimize queries. Support data migration and integration efforts as part of cloud transformation initiatives. Ensure database security, access controls, and compliance with internal standards. Contribute to documentation, runbooks, and knowledge sharing within the team. Participate in Agile ceremonies and planning activities, fostering a culture of shared ownership and continuous improvement. Join an on-call rotation to support 24/7 database operations and incident response. Required Qualifications 7+ years of experience in database engineering or a related technical role. Hands-on experience with at least one of the following: Oracle, Snowflake, or Azure SQL Database. Solid knowledge of cloud platforms (Azure preferred) and cloud-native data services. Strong understanding of system performance tuning and query optimization. Ability to work collaboratively and communicate effectively with technical peers. Preferred Qualifications Experience building and maintaining data pipelines in cloud or hybrid environments. Familiarity with Liquibase or other database change management tools. Proficiency in scripting or automation (e.g., Ansible, Python, Terraform). Experience with CI/CD pipelines or DevOps practices. Knowledge of monitoring tools and observability platforms. Background in Agile or SAFe environments. Salary range for this position is $110,400-$154,600. Annual salary range placement will depend on a variety of factors including, but not limited to, education, work experience, applicable certifications and/or licensure, the position's scope and responsibility, internal pay equity and external market salary data. Benefits Dahl Consulting is proud to offer a comprehensive benefits package to eligible employees that will allow you to choose the best coverage to meet your family's needs. For details, please review the DAHL Benefits Summary: ***********************************************

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;

OUR VISION At EarthDaily Analytics (EDA), we strive to build a more sustainable planet by creating innovative solutions that combine satellite imagery of the Earth, modern software engineering, machine learning, and cloud computing to solve the toughest challenges in agriculture, energy and mining, insurance and risk mitigation, wildfire and forest intelligence, carbon-capture verification and more. EDA's signature Earth Observation mission, the EarthDaily Constellation (EDC), is currently under construction. The EDC will be the most powerful global change detection and change monitoring system ever developed, capable of generating unprecedented predictive analytics and insights. It will combine with the EarthPipeline data processing system to provide unprecedented, scientific-grade data of the world every day, positioning EDA to meet the growing needs of diverse industries. OUR TEAM Our global, enterprise-wide team represents a variety of business lines and is made up of business development, sales, marketing and support professionals, data scientists, software engineers, project managers and finance, HR, and IT professionals. Our Earth Insights team is nimble and collaborative, and in preparation for launching a frontier and disruptive product in EDC, we are currently looking for an experienced Senior Data Scientist - Numerical Weather Prediction to join our crew, serving as a technical expert and thought leader in weather and climate modeling, bridging the gap between cutting-edge atmospheric science and commercial applications! READY TO LAUNCH? Do you want to work for one of the most exciting space companies at the forefront of global change detection/change monitoring, and the intersection of atmospheric science, data science, and machine learning? The ideal candidate will have deep expertise in operational weather models, enabling them to evaluate forecast accuracy, develop sophisticated validation frameworks, and extract actionable insights from massive meteorological datasets. This role demands a deep technical understanding and astute business acumen, allowing you to both build production-grad AI forecasting models and communicate complex meteorological concepts to clients, assisting in the sales process. RESPONSIBILITIES Weather Model Analysis & Validation Perform complex statistical and comparative analysis on large-scale weather datasets including BRIB2, NetCDF, and NEMSIO formats from multiple data sources Develop comprehensive validation frameworks to assess the accuracy and skill of weather forecasting models against publicly available operational models and observational data Conduct forecast verification studies using standard meteorological metrics (RMSE, ACC, bias, skill scores) across multiple atmospheric variables and forecast lead times Analyze and document the strengths, limitations, and performance characteristics of major operational weather models (GFS, GEFS, CFS, ECMWF IFS, ERA5) Identify forecast biases, systematic errors, and areas for improvement in weather prediction systems Evaluate the impact of different initialization times, resolutions, and parameterizations on forecast quality Production-Grade Development & MLOps Write robust, production-quality Python code following software engineering best practices for weather data processing, analysis, and model evaluation Develop and maintain scalable data pipelines to ingest, process, and analyze meteorological data from multiple sources in various formats (GRIB2, NetCDF, NEMSIO) Integrate analysis scripts and machine learning models into existing production codebase using modern development workflows Deploy cloud-based solutions to AWS using AWS CDK (Cloud Development Kit) and infrastructure-as-code principles Implement MLOps best practices including model versioning, experiment tracking, monitoring, and automated retraining pipelines Build CI/CD pipelines for continuous integration and deployment of forecasting models and data processing workflows Optimize code performance for handling large-scale meteorological datasets efficiently AI Weather Forecasting & Machine Learning Design, develop, and deploy AI-based weather forecasting models using machine learning and deep learning techniques Research and implement state-of-the-art approaches in AI weather prediction including neural networks, graph neural networks, transformers, and generative models Evaluate emerging AI weather models (e.g., ECMWF AIFS) and assess their applicability to business use cases Develop hybrid forecasting approaches that combine physics-based numerical weather prediction with data-driven machine learning methods Train models on large historical weather datasets (ERA5, HRRR, GFS archives) using distributed computing resources Implement probabilistic and ensemble forecasting techniques using machine learning to quantify forecast uncertainty Optimize model architectures for computational efficiency and forecast skill Feature Engineering & Domain Expertise Develop derived meteorological features and indices from raw weather data that provide value for industry-specific applications Create domain-specific weather variables and aggregations tailored to energy markets, agriculture, insurance, logistics, and other weather-sensitive industries Transform complex atmospheric data into actionable insights and decision-support products for commercial applications Design weather indices and composite variables that correlate with business outcomes and market dynamics Engineer features for machine learning models that capture relevant meteorological patterns and relationships Subject Matter Expertise & Communication Convey deep technical knowledge about publicly available weather models, reanalysis datasets, and forecasting systems to both technical and non-technical audiences Articulate how different weather models are used across various industries for market intelligence, risk management, and operational decision-making Provide expert guidance on the capabilities, limitations, and appropriate use cases for different weather data products and forecasting systems Answer specific and challenging technical questions posed by clients and prospects during sales presentations and discovery calls Create technical documentation, presentations, and visualizations that communicate complex meteorological concepts clearly Collaborate with sales and product teams to translate customer weather data needs into technical solutions Data Processing & Analysis Programmatically manipulate and analyze meteorological data formats using specialized libraries (xarray, cfgrib, pygrib, wgrib2) Process multi-dimensional weather datasets with temporal and spatial components efficiently at scale Perform exploratory data analysis (EDA) on large weather archives to identify patterns, trends, and anomalies Conduct spatial and temporal aggregations, interpolations, and regridding operations on gridded weather data Quality-control and validate meteorological datasets to ensure data integrity and accuracy Develop automated data processing workflows for routine analysis and monitoring tasks Research & Innovation Stay current with the latest developments in numerical weather prediction, AI weather forecasting, and atmospheric science research Evaluate new data sources, weather models, and forecasting techniques for potential integration into products and services Conduct applied research to advance weather forecasting capabilities and develop proprietary methodologies Contribute to technical publications, white papers, and thought leadership content in weather and climate science Other Duties As Assigned YOUR PAST MISSIONS Master's degree or Ph.D. in Atmospheric Science, Meteorology, Climate Science, Computational Science, Data Science, Physics, or closely related quantitative field with focus on weather/climate applications 5-8 years of professional experience in atmospheric science, weather forecasting, climate modeling, or closely related fields 3+ years of hands-on experience working with operational numerical weather prediction models (GFS, GEFS, CFS, ECMWF IFS, ERA5, or similar) 3+ years of production-level Python development for scientific computing, data analysis, and machine learning applications Demonstrated experience processing and analyzing large-scale meteorological datasets in GRIB2, NetCDF, or NEMSIO formats Proven track record of developing and deploying machine learning models or data science solutions in production environments Experience with forecast verification, model evaluation, and statistical analysis of weather prediction systems Strong portfolio demonstrating weather data analysis, visualization, and modeling projects Nice To Haves: Ph.D. in Atmospheric Science, Meteorology, or related field with research focus on numerical weather prediction, data assimilation, or weather forecasting Advanced coursework or specialization in machine learning, statistical modeling, or computational methods applied to atmospheric science Experience developing or working with AI-based weather forecasting models Background in weather model development, data assimilation, or numerical methods for atmospheric modeling Experience in energy commodities markets (natural gas, power, heating oil) or agricultural commodities Familiarity with weather derivatives, weather risk management, or climate risk analytics Experience presenting technical weather information to non-technical business audiences YOUR TOOLKIT Core Technical Skills (Required): Programming & Development: Python (expert level), NumPy, Pandas, xarray, Dask, SciPy, scikit-learn Weather Data Processing: GRIB2, NetCDF, NEMSIO formats; libraries including cfgrib, pygrib, wgrib2, net CDF4, xarray Machine Learning: PyTorch or TensorFlow, deep learning architectures, model training and evaluation, MLOps practices Statistical Analysis: Forecast verification methods, skill scores (RMSE, MAE, ACC, bias), hypothesis testing, time series analysis Atmospheric Science: Deep understanding of atmospheric dynamics, weather forecasting principles, model physics and parameterizations Cloud Computing: AWS services (S3, EC2, Lambda, SageMaker, ECS), cloud-based data processing and model deployment Version Control & Collaboration: Git, GitHub/GitLab, code review practices, collaborative development workflows Data Visualization: Matplotlib, Cartopy, Plotly, creating publication-quality figures and maps Weather Model Expertise (Required): NOAA Models: GFS (Global Forecast System), GEFS (Global Ensemble Forecast System), CFS (Climate Forecast System) ECMWF Systems: ERA5 reanalysis, IFS (Integrated Forecasting System), AIFS (Artificial Intelligence Forecasting System) Model Architecture: Understanding of model initialization, data assimilation, physics parameterizations, and ensemble methods Weather Variables: Comprehensive knowledge of atmospheric variables (temperature, pressure, wind, humidity, precipitation, radiation) Forecast Products: Familiarity with surface fields, pressure levels, derived products, and specialized outputs Additional Technical Skills (Highly Valued): AI Weather Models: Hands-on experience with GraphCast, ECMWF AIFS, Pangu-Weather, FourCastNet, or similar neural network forecasting systems Infrastructure as Code: AWS CDK, Terraform, CloudFormation for reproducible deployments Containerization: Docker, container orchestration for model deployment Big Data Technologies: Apache Spark, distributed computing frameworks for large-scale data processing Advanced ML: Graph neural networks, transformers, generative models, diffusion models HPC Experience: Working with high-performance computing systems, job schedulers (Slurm), parallel computing Numerical Methods: Experience with numerical modeling, finite difference methods, or atmospheric model development Additional Languages: R for statistical analysis, Julia for scientific computing, or Fortran for legacy code integration Domain Knowledge & Business Acumen: Understanding of how weather impacts energy markets, agriculture, insurance, logistics, and other weather-sensitive industries Knowledge of weather derivatives, degree days (heating/cooling), and weather-based indices Ability to translate meteorological insights into business value and commercial applications Problem-Solving & Analysis: Advanced analytical thinking and troubleshooting complex technical problems Critical evaluation of model performance and identification of improvement opportunities Ability to formulate research questions and design experiments to test hypotheses Creative approaches to feature engineering and deriving value from weather data Communication & Collaboration: Exceptional ability to explain complex meteorological and technical concepts to diverse audiences Strong technical writing skills for documentation, reports, and presentations Comfortable presenting to clients and technical peers Collaborative mindset for working with cross-functional teams including engineering, product, and sales Active listening skills to understand client needs and translate them into technical requirements Soft Skills: Self-motivated and able to work independently with minimal supervision in a remote environment Strong organizational and time management skills to handle multiple projects simultaneously Intellectual curiosity and passion for continuous learning in weather science and machine learning Adaptability to rapidly changing technologies, business priorities, and client requirements Customer-focused approach with commitment to delivering high-quality solutions OUR SPACE (including travel) We'd love to welcome you to the EarthInsights team for this fully-remote opportunity open to individuals in and working from the US and Canada. Agile software development with daily standups and weekly Scrum cadence in a fast-paced environment with the need to adapt quickly to time-sensitive deliveries. Ours is a fun, fast-paced and exciting work environment where we hold earth-smart (living sustainably), creativity and innovation, proactive communication, diversity and accountability as core values. And just like space exploration - we're constantly evolving and pushing new boundaries. Hours of work typically fall between 9:00am and 5:00pm Central Time Monday to Friday with periodic cross-over work required with other team members across a few times zones in addition to occasional evening and weekend work. Team members need be available for a minimum of six (6) hours daily during this period to facilitate collaboration. YOUR COMPENSATION Base Salary Range: $145 - 180K USD annually The range above depends on job-related skills, experience, training, education, location and business needs. The range is based on Minneapolis-derived compensation for this role. Only when a candidate has the demonstrated experience, skills, and expertise to advance in the range for this position, would we consider paying at the top end of the range for this role. WHY EARTHDAILY ANALYTICS? Competitive compensation and flexible time off Be part of a meaningful mission in one of North America's most innovative space companies developing sustainable solutions for our planet Great work environment and team with head office locations in Vancouver, Canada and Minneapolis, MN

**Our Mission** As the world's number 1 job site*, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We're looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers. (*Comscore, Total Visits, March 2025) **Day to Day** At Indeed, our mission is to _Help People Get Jobs_ . We are seeking a visionary Senior Marketing Data Scientist to define and drive our data science endeavors for Indeed's Marketing organization.The Marketing Data Science and Business Intelligence (MDSBI) organization partners with Marketing and collaborates across the SMB, Job Seeker, Brand, Enterprise, and Global Marketing teams. Your role will entail shaping and executing Indeed's AI strategy for Marketing measurement and driving optimal allocation and returns on our Marketing spend. You will guide our organization in pursuing the strategy and, through innovation, make a meaningful impact on the lives of millions of people who use Indeed every day. As AI technology, Marketing and job markets evolve rapidly, your role will be essential in shaping the future of acquisition for both job seekers and employers. **Responsibilities** + Build and improve all components of our Marketing measurement framework including Marketing Mix models, Multi-Touch attribution and Incrementality testing. + Mentor and grow other data scientists, data engineers and Machine Learning Engineers across teams. + Communicates how campaigns, campaign measurement and business outcomes can be transformed with Machine Learning (ML) and AI across the broad organization + Partner with cross-functional teams to implement data-driven solutions that enhance user and marketer experiences + Foster external partnerships, stay updated with industry trends, and ensure our data practices remain at the forefront of technological advancements **Skills/Competencies** + Bachelor's Degree in Computer Science, Mathematics, Statistics + 7+ years of experience in data science, analytics, Machine Learning or a related field + Prior success in deploying impactful Machine Learning solutions to large-scale production systems, while engaging across teams + A deep understanding of machine learning, statistical modelling, and predictive analytics. + Deep understanding of the complexities and tradeoffs of leveraging/deploying ML/AI at scale and experience using LLMs + Proven ability to translate complex data findings into actionable business strategies and experience in collaborating with marketing or product teams to drive business growth + Experience communicating and influencing marketing, technical, and business direction across all levels of a large organization + Knowledge and practical experience working on Deep Learning Libraries (like Torch, Tensorflow, etc.) **Salary Range Transparency** US Remote 154,000 - 224,000 USD per year Austin Metro Area 154,000 - 224,000 USD per year NYC Metro Area 171,000 - 247,000 USD per year Seattle Metro Area 164,000 - 239,000 USD per year San Francisco Bay Area 180,000 - 260,000 USD per year **Salary Range Disclaimer** The base salary range represents the low and high end of the Indeed salary range for this position in the given work location. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range(s) listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region-specific benefits. **Benefits - Health, Work/Life Harmony, & Wellbeing** We care about what you care about. We have a multitude of benefits to support Indeedians, as well as their pets, kids, and partners including medical, dental, vision, disability and life insurance. Indeedians are able to enroll in our company's 401k plan, as well as an equity-based incentive program. Indeedians will also receive open paid time off, 11 paid holidays a year and up to 26 weeks of paid parental leave. For more information, select your country and learn more about our employee benefits, program, & perks at **************************************** **Equal Opportunities and Accommodations Statement** Indeed is deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized. We're proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neuro-diversity, disability, age, or veteran status, or any other non-merit based or legally protected grounds. Indeed provides reasonable accommodations to qualified individuals with disabilities in the employment application process. To request an accommodation, please visit ********************************************** If you are requesting accommodation for an interview, please reach out at least one week in advance of your interview. For more information about our commitment to equal opportunity/affirmative action, please visit our Careers page (******************************** **Inclusion & Belonging** Inclusion and belonging are fundamental to our hiring practices and company culture, forming an integral part of our vision for a better world of work. At Indeed, we're committed to the wellbeing of our employees and on a mission to make this the best place to work and thrive. We believe that fostering an inclusive environment where every employee feels respected and accepted benefits everyone, fueling innovation and creativity. We value diverse experiences, including those who have had prior contact with the criminal legal system. We are committed to providing individuals with criminal records, including formerly incarcerated individuals, a fair chance at employment. Those with military experience are encouraged to apply. Equivalent expertise demonstrated through a combination of work experience, training, military experience, or education is welcome. **Indeed's Employee Recruiting Privacy Policy** Like other employers Indeed uses our own technologies to help us find and attract top talent from around the world. In addition to our site's user and privacy policy found at **************************** , we also want to make you aware of our recruitment specific privacy policy found at ****************************/indeed-jobs . **Agency Disclaimer** Indeed does not pay placement fees for unsolicited resumes or referrals from non-candidates, including search firms, staffing agencies, professional recruiters, fee-based referral services, and recruiting agencies (each individually, an "Agency"), subject to local laws. An Agency seeking a placement fee must obtain advance written approval from Indeed's internal Talent Acquisition team and execute a fee agreement with Indeed for each job opening before making a referral or submitting a resume for that opening. **Reference ID:** **46205** **The deadline to apply to this position is [12/5/2025]. Job postings may be extended at the hiring team's discretion based on applicant volume.** It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Reference ID: 46205

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

We strive to be Your Future, Your Solution to accelerate your career! Contact Shawn Recker at ************************* or ************ to learn more about this opportunity! As a Senior Data Scientist supporting our Retail Business Unit, you'll lead the development of advanced analytics solutions that improve how we partner with retailers and deliver value to consumers. You'll work cross-functionally to solve complex challenges in areas like demand forecasting, promotion optimization, and retail execution. Design, develop, and scale predictive and prescriptive models that support retail strategy and execution. Collaborate with sales, marketing, supply chain, and IT to identify high-impact analytics opportunities. Translate complex data into actionable insights and compelling visual stories for business stakeholders. Mentor and lead junior data scientists and foster a culture of innovation and continuous learning. Work with tools like Python, Google BigQuery, Oracle, Tableau, and Power BI to build scalable, production-ready solutions. What You Bring Required: Bachelor's degree in Data Science, Mathematics, Computer Science, or a related field. 7+ years of experience in data science, including model development and deployment. Strong programming skills and experience with large-scale data environments. Proven ability to translate business needs into data-driven solutions, especially in a CPG or retail context. Excellent communication and storytelling skills. Must be a Citizen or National of the United States, a lawful, permanent resident, or have authorization to work in the United States. Applicants must not now, or any time in the future, require sponsorship for an employment visa. Preferred: Master's degree in a quantitative field. Experience with Google Cloud Platform and Oracle databases. Familiarity with Python IDEs (e.g., PyCharm, Jupyter, Anaconda). Experience developing production-grade machine learning models. Proficiency in data visualization tools like Tableau or Power BI. Experience working with syndicated retail data (e.g., Nielsen, Circona) or POS data Saige Partners, one of the fastest growing technology and talent companies in the Midwest, believes in people with a passion to help them succeed. We are in the business of helping professionals Build Careers, Not Jobs. Saige Partners believes employees are the most valuable asset to building a thriving and successful company culture. Contact us to learn more about the opportunity below or check out other opportunities at ***********************************

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.

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.

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.

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

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

At 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) .

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 *********************************************************

REQUIRED SKILLS/Qualifications: • Bachelor's degree in computer science, data or social science, operations research, statistics, applied mathematics, econometrics, or a related quantitative field AND 4+ years of experience in business analytics, data science, software development, data modeling and/or data engineering work OR Master's Degree in Computer Science, Math, or Software is acceptable. • 5+ years of programming experience with command in at least two languages: SQL (required), Python (required), Java, R, or Spark. • Expert proficiency in SQL; experience with Oracle, PostgreSQL, MySQL, or Microsoft SQL Server. • 4+ years of experience working with Databricks (or similar platform) within the BI/Analytics space such as Azure Data Factory, Synapse, Data Explorer, Cosmos, App Insights, Power BI, and Databricks. • Hands-on experience leading or supporting SAS-to-Databricks conversion or migration projects, including refactoring legacy data pipelines, translating SAS models or scripts, and optimizing data architecture for modern cloud-native environments. • 3+ years of experience in the areas of Graph databases, Big Data, or Hyper Scale products in Azure. • Experience using Git, or a comparable code repository. • Must be motivated, self-driven, curious, and creative. • Must be a skilled communicator, and demonstrate an ability to work with end users and business leaders. • Demonstrate the ability to support and complement the work of a diverse development and/or operations team. • Experience working in a collaborative, cross-functional team; active participation in sprint reviews. • Expert knowledge and a minimum of four years' experience in the following domains: Data management, software engineering, and infrastructure & operations (I&O). The projected hourly range for this position is $75.00 to $80.00. 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.

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

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