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Data scientist • saint paul mn

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Principal, Data Scientist (Finance)

Principal, Data Scientist (Finance)

DataSiteMinneapolis, MN, United States
[job_card.full_time]
Principal, Data Scientist (Finance).As a Principal Data Scientist, you will serve as the technical lead and primary "engine" of our data science initiatives. Reporting to the Director of Data Scienc...[show_more][last_updated.last_updated_variable_days]
Data Scientist Manager

Data Scientist Manager

00001 Ameriprise Financial IncMinneapolis, Minnesota
[job_card.full_time] +1
Ameriprise Financial has an opportunity for a Data Scientist Manager to join the team! The individual in this role will play an integral role in supporting modeling and data analysis, campaign exec...[show_more][last_updated.last_updated_variable_days]
Remote Senior Data Scientist - AI Trainer

Remote Senior Data Scientist - AI Trainer

SuperAnnotateMaplewood, Minnesota, US
[filters.remote]
[job_card.full_time]
As a Senior Data Scientist, you will work remotely on an hourly paid basis to review AI-generated analytical reasoning, code, and model outputs, as well as generate high-quality reference solutions...[show_more][last_updated.last_updated_30]
Data Scientist

Data Scientist

RELXMinneapolis, MN
[job_card.full_time]
We’re seeking a Data Scientist to lead predictive modeling and statistical analysis across domains such as risk and fraud. The ideal candidate will bring strong expertise in data mining and analytic...[show_more][last_updated.last_updated_30]
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Research Scientist 3 - Lead SNAP Fraud Data Scientist

Research Scientist 3 - Lead SNAP Fraud Data Scientist

State of MinnesotaSt Paul, MN, United States
[job_card.full_time] +1
Working Title : Research Scientist 3 - Lead SNAP Fraud Data Scientist.Job Class : Research Scientist 3.Agency : Children Youth & Families Dept. Open to all qualified job seekers.Children Youth & Famili...[show_more][last_updated.last_updated_1_day]
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Data Scientist - Decision Support, Analytics and Automation

Data Scientist - Decision Support, Analytics and Automation

Jack Link's Protein SnacksMinneapolis, MN, US
[job_card.full_time]
Running with Sasquatch is more than just a clever marketing campaign.As a Jack Link’s team member, Running with Sasquatch means we roll up our buffalo plaid sleeves and do the hard work&...[show_more][last_updated.last_updated_variable_days]
Principal Data Scientist - Golden Valley, MN

Principal Data Scientist - Golden Valley, MN

General MillsMinneapolis, Minnesota
[job_card.full_time]
The Principal Data Scientist position is a senior technical leader who strategizes enterprise-grade AI solutions, spanning agentic AI, NLP, optimization & machine learning, to unlock measurable val...[show_more][last_updated.last_updated_variable_days]
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Formulation Scientist

Formulation Scientist

H.B. FullerSt Paul, MN, United States
[job_card.full_time]
As the largest pureplay adhesives company in the world, H.Fuller's (NYSE : FUL) innovative, functional coatings, adhesives and sealants enhance the quality, safety and performance of products people...[show_more][last_updated.last_updated_variable_hours]
Principal Data Scientist

Principal Data Scientist

MaximusMinneapolis, US
[job_card.full_time]
Essential Duties and Responsibilities : - Make deep dives into the data, pulling out objective insights for business leaders. Initiate, craft, and lead advanced analyses of operational data.Pr...[show_more][last_updated.last_updated_30]
Senior Data Scientist

Senior Data Scientist

DatasiteMinneapolis, MN, USA
[job_card.full_time]
You will bridge the gap between raw user behavior and alpha-generating insights by developing aggregate, anonymized products that meet rigorous privacy standards. Design and build products that tran...[show_more][last_updated.last_updated_variable_days]
CDO - AI Data Quality Data Scientist - Sr Manager

CDO - AI Data Quality Data Scientist - Sr Manager

PwCMinneapolis,MN
[job_card.full_time]
SummaryAt PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients.They play a crucial role...[show_more][last_updated.last_updated_30]
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Senior Principal Data Scientist - NMPH - Fridley, MN (Onsite)

Senior Principal Data Scientist - NMPH - Fridley, MN (Onsite)

Medtronic PlcMinneapolis, MN, US
[job_card.full_time]
Senior Principal Data Scientist.We are seeking a highly experienced and business-focused Senior Principal Data Scientist to join our Neuromodulation and Pelvic Health (NMPH) team.In this role, you ...[show_more][last_updated.last_updated_variable_days]
junior java software engineer / Data scientist

junior java software engineer / Data scientist

SynergisticITMinneapolis, MN, US
[job_card.full_time]
If you've recently been laid off or let go from a tech role, you're not alone—and you're not out of options.The tech industry is evolving fast, and while layoffs have hit hard, demand for skilled p...[show_more][last_updated.last_updated_30]
Senior Data Scientist / MLOps Engineer (Optimization Specialist)

Senior Data Scientist / MLOps Engineer (Optimization Specialist)

Purple DriveMinneapolis, MN, Minnesota, USA
[job_card.full_time]
Table" style="border : solid windowtext 1px"> [show_more][last_updated.last_updated_variable_days]
Data Scientist

Data Scientist

IMCS GroupMinneapolis, MN
[job_card.full_time]
Master’s degree or higher, that has a quantitative focus such as applied mathematics, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business / ...[show_more][last_updated.last_updated_30]
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Data Scientist

Data Scientist

VirtualVocationsSaint Paul, Minnesota, United States
[job_card.full_time]
A company is looking for a Data Scientist focused on Consumer Revenue businesses.Key Responsibilities Solve problems related to churn risk modeling, LTV calculations, and marketing attribution wh...[show_more][last_updated.last_updated_30]
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Principal Scientist

Principal Scientist

GaloisMinneapolis, MN, United States
[job_card.full_time]
From building digital engineering tools that make space exploration safer to verifying cryptographic libraries that protect some of the world’s most valuable data, Galois develops technology to gua...[show_more][last_updated.last_updated_1_day]
Chief Data Scientist (Remote)

Chief Data Scientist (Remote)

TriMedxMinneapolis, MN
[filters.remote]
[job_card.full_time]
If you are wondering what makes TRIMEDX different, it's that all of our associates share in a common purpose of serving clients, patients, communities, and each other with equal measures of care an...[show_more][last_updated.last_updated_30]
Senior Data Scientist, Specialist Senior – SFL Scientific

Senior Data Scientist, Specialist Senior – SFL Scientific

DeloitteMinneapolis, Minnesota, US
[job_card.full_time]
Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-...[show_more][last_updated.last_updated_variable_days]
Principal, Data Scientist (Finance)

Principal, Data Scientist (Finance)

DataSiteMinneapolis, MN, United States
[job_card.variable_days_ago]
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  • [job_card.full_time]
[job_card.job_description]

Principal, Data Scientist (Finance) at Datasite

As a Principal Data Scientist, you will serve as the technical lead and primary "engine" of our data science initiatives. Reporting to the Director of Data Science, you will be a high‑level individual contributor responsible for solving our most complex, abstract business problems through advanced mathematical modeling. You will lead the end‑to‑end development of "Data Intelligence Products" — from high‑dimensional forecasting and financial risk engines to ML‑driven revenue optimization. Though this is an IC role, you will set technical standards for the department, mentor junior analysts, and architect our predictive ecosystem.

Responsibilities

  • Advanced technical execution : lead research, design, and deployment of sophisticated models for time‑series revenue forecasting, unit economics, and profitability.
  • Risk & uncertainty quantification : develop advanced statistical tools to predict financial risk and operational volatility, providing probabilistic guardrails.
  • Algorithmic innovation : build custom ML solutions beyond standard libraries to address specific nuances of our finance and project data.
  • Experimental design : architect rigorous A / B and multivariate testing frameworks to measure causal impact of business decisions.
  • Technical architecture & productization : partner with Data Engineering to design the "last mile" of ML deployment, ensuring reliable model operation within Snowflake / dbt.
  • Seamless integration : embed model outputs into Power BI semantic models, transforming statistical distributions into actionable business signals.
  • Code excellence : establish standards for reproducible research, version control, and model validation.
  • Strategic & technical leadership : identify opportunities for ML / AI to drive ROI, stay ahead of industry trends in LLMs, deep learning, and predictive analytics.
  • Abstract problem solving : translate high‑level business queries from the Director or C‑suite into mathematically sound project plans.

The Ideal Candidate Profile

Technical Mastery

  • Deep expertise in Python data science stack (scikit‑learn, XGBoost, LightGBM) and deep learning frameworks (PyTorch or TensorFlow).
  • Predictive expertise in time‑series forecasting, supervised learning, and causal inference. Mastery of libraries such as Prophet, statsmodels, or sktime.
  • MLOps & deployment experience with model lifecycle tools (MLflow, Weights & Biases) and deployment via Docker / Kubernetes or serverless functions.
  • Statistical logic : strong understanding of the math behind models and ability to defend methodology.
  • Mathematical depth : supervised / unsupervised learning, Bayesian statistics, time‑series analysis, causal inference.
  • Generative AI & LLMs : working knowledge of integrating LLMs (LangChain, OpenAI API, Hugging Face) into business workflows.
  • Modern data stack : proficiency with Snowflake as a feature store and dbt for engineering.
  • Business & Leadership Skills

  • Finance acumen : understanding of P&L levers and how predictive modeling impacts revenue and margin.
  • Communication : ability to simplify complex "black‑box" concepts for executive stakeholders.
  • Qualifications

  • 8–10+ years of experience in Data Science, delivering high‑impact predictive models in a corporate or production environment.
  • Proven IC leadership : experience as a staff or principal contributor who has led large‑scale technical projects from concept to deployment.
  • Deep familiarity with Snowflake, dbt, and Power BI ecosystem.
  • Track record of building and deploying predictive models using Python and SQL with high business adoption.
  • Experience with ML orchestration tools and automated testing for model performance (monitoring for data drift and model decay).
  • Cloud infrastructure experience (Azure ML, AWS SageMaker, Databricks) and integration with data warehouses.
  • Advanced education : PhD or Master’s in physics, mathematics, statistics, computer science, economics, or related quantitative field.
  • The base salary range represents the estimated low and high end for this position based on a good faith assessment of the role and market data at the time of posting. Compensation may vary and is determined by geographic region, skills, qualifications, experience, and the requirements of the position. This position may be eligible for bonuses, commissions, or overtime if applicable. Benefits include health insurance (medical, dental, vision), a retirement savings plan, paid time off, and other employee benefits. Specific details will be provided during the interview process. Datasite reserves the right to modify this pay range at any time.

    The salary range for this role is $117,500.00 – $206,700.00.

    Datasite is committed to fostering a diverse and inclusive workforce where all individuals are respected and valued. We are an equal‑opportunity employer and make all employment decisions without regard to race, color, religion, sex, gender identity, sexual orientation, age, national origin, disability, protected veteran status, or any other protected characteristic. We encourage applications from candidates of all backgrounds and are dedicated to building teams that reflect the diversity of our communities.

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