Data Scientist

Hybrid in Minneapolis, MN, US • Posted 1 hour ago • Updated 1 hour ago
Full Time
Remote
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Advanced Analytics
  • Analytical Skill
  • Applied Mathematics
  • Clustering
  • Computer Science
  • Data Science
  • Groupware
  • Machine Learning (ML)
  • Pattern Recognition
  • Predictive Modelling
  • Python
  • R
  • SAS
  • SQL
  • Statistical Models
  • Statistics
  • Time Series
  • Version Control

Summary

ONLY W2, NO C2C
Data Scientist
LOCATION Hybrid Minneapolis, MN PREFERRED
REMOTE in following states: AR, AZ, DE, FL, GA, IA, IL, KS, KY, MD, ME, MI, MN, MO, ND, NE, OK, SD, TN, TX, VA, WI
DURATION 6+ Months
INTERVIEW TYPE 2 Rounds

Technical Skills Required:
Data Science / Machine Learning
Project-level containerized stacks managed through Nexus
Coco+ and VSCode as primary IDE/tooling environments
Snowflake
Azure
ChatGPT
A proprietary DataScience CLI providing tooling, libraries, and access management
Standard libraries packaged through the DataScience CLI and Nexus

Required qualifications
Bachelor s degree or equivalent experience in Data Science, Statistics, Computer Science, Engineering, Applied Mathematics, or a related quantitative field.
3+ years of professional experience beyond degree in data science, machine learning, advanced analytics, statistical modeling, or a related technical discipline.
Experience developing machine learning or statistical solutions for complex, real-world business problems.
Experience with techniques applicable to anomaly detection, pattern recognition, classification, clustering, time-series analysis, or predictive modeling.
Proficiency in at least one programming language commonly used for data science and machine learning, such as Python, R, or SAS.
Strong SQL skills and experience working with large relational or analytical data platforms.
Experience using source control and collaborative software development practices.
Experience developing reusable, maintainable analytical code rather than exclusively notebook-based or ad hoc analyses.
Ability to communicate technical concepts, analytical findings, system behavior, and model limitations to both technical and non-technical stakeholders.

Employers have access to artificial intelligence language tools (“AI”) 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: 10113363
  • Position Id: 9067257
  • Posted 1 hour ago
Contact the job poster
Abhishek Sharma

Abhishek Sharma

Senior Recruiter @ Innovative Information Technologies, Inc
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