Data Scientist

Minneapolis, MN, US β€’ Posted 1 hour ago β€’ Updated 1 hour ago
Contract W2
Contract Corp To Corp
12 Months
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Scoreβ„’

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Job Details

Skills

  • Data Scientist
  • Python or R for data analysis
  • ata visualization and analytical reporting.
  • SQL skills for data extraction and manipulation.

Summary

Job Title: Data Scientist – Machine Learning & Predictive Analytics

Location: Minneapolis, MN
Work Arrangement: Onsite – Day 1
Experience: 5+ Years

Job Description

We are seeking an experienced Data Scientist with strong expertise in statistical analysis, machine learning, predictive modeling, and advanced analytics. The ideal candidate will have hands-on experience analyzing complex datasets, developing machine learning models, identifying patterns, and translating data-driven insights into actionable business recommendations.

Required Skills

  • 5+ years of hands-on Data Science experience.

  • Strong knowledge of statistical methods, mathematical techniques, and machine learning algorithms.

  • Experience with supervised and unsupervised learning.

  • Proficiency in Python or R for data analysis and modeling.

  • Strong SQL skills for data extraction and manipulation.

  • Experience in exploratory data analysis (EDA), data cleaning, preprocessing, and feature engineering.

  • Hands-on experience developing, implementing, and evaluating predictive models.

  • Knowledge of model validation, performance metrics, and evaluation techniques.

  • Experience with data visualization and analytical reporting.

  • Strong analytical, problem-solving, and communication skills.

Key Responsibilities

  • Analyze large and complex datasets to identify trends, patterns, and business insights.

  • Develop, implement, and evaluate machine learning algorithms and predictive models.

  • Apply statistical techniques to solve real-world business problems.

  • Perform data preprocessing, feature engineering, and exploratory data analysis.

  • Select appropriate algorithms based on business objectives and data characteristics.

  • Evaluate model performance using statistical metrics and validation techniques.

  • Present findings and recommendations to technical and business stakeholders.

  • Collaborate with cross-functional teams to support data-driven decision-making.

  • Document methodologies, assumptions, model results, and recommendations.

Employers have access to artificial intelligence language tools (β€œAI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10212489a
  • Position Id: 85445-7542-1791983408
  • Posted 1 hour ago
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