Hybrid Data Scientist - IC, ML & Analytics Impact

NDX Human Capital Solutions

Oshkosh (WI)

Hybrid

USD 125,820 - 153,780

Full time

14 days+
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Benefits offered by this job

Relocation assistance
Up to 10% bonus

Job summary

A technology solutions provider is seeking a Digital Technology Data Scientist Lead to analyze and interpret datasets using statistical techniques and machine learning. This role emphasizes collaboration with cross-functional teams, strong communication skills, and a depth of knowledge in data science tools. Candidates should possess a B.S. degree with relevant experience in data science, analytical skills, and the ability to convey insights clearly. A hybrid work model is supported, with a strong preference for onsite work in Oshkosh, WI.

Qualifications

  • B.S. degree with at least 5 years of experience in data science or related field.
  • M.S. considered with a minimum of 3 years of experience.
  • Individual contributor, not seeking management-level candidates.

Responsibilities

  • Analyze and interpret datasets using statistical techniques and machine learning.
  • Prepare analysis results for both technical and non-technical audiences.
  • Collaborate with cross-functional teams to understand data needs.

Skills

Strong business experience
Exceptional communication skills
Storytelling with data
Supply chain functions experience
Experience in data science tools

Education

B.S. in related field with 5 years of experience
M.S. in related field with 3 years of experience

Tools

Azure Databricks
Power BI
Python
R

Job description

A technology solutions provider is seeking a Digital Technology Data Scientist Lead to analyze and interpret datasets using statistical techniques and machine learning. This role emphasizes collaboration with cross-functional teams, strong communication skills, and a depth of knowledge in data science tools. Candidates should possess a B.S. degree with relevant experience in data science, analytical skills, and the ability to convey insights clearly. A hybrid work model is supported, with a strong preference for onsite work in Oshkosh, WI.
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