Senior Data Scientist - ML & Analytics for Enterprise

careers-dminc

United States

Remote

USD 92,000 - 113,000

Full time

7 days ago
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Benefits offered by this job

Healthcare coverage
401(k) match
Tuition assistance
Development opportunities
Annual awards
Wellness programs

Job summary

DMI is seeking an experienced Senior Data Scientist / Machine Learning Specialist to support data-driven decision-making, advanced analytics, statistical modeling, and ML initiatives within a complex enterprise. You will work with data engineers, software teams, and leadership to translate data into actionable insights and measurable results.

The role requires strong experience with Python, R, SQL, and BI tools such as Power BI and Tableau, plus data governance and cross-organizational

Qualifications

  • Bachelor's degree or higher in statistics, computer science, mathematics, or related field.
  • 5–10 years of data science, statistical modeling, and machine learning experience.
  • Strong analytical and quantitative skills with Python, R, and SQL.

Responsibilities

  • Design, develop, and implement data science, statistical modeling, and ML solutions for complex business and mission requirements.
  • Analyze large, complex datasets to identify trends, patterns, relationships, and actionable insights.
  • Develop and validate statistical and machine learning models using appropriate techniques.
  • Build dashboards and BI products using Power BI and Tableau.
  • Translate findings into clear, actionable recommendations for leadership and stakeholders.

Skills

Python
R
SQL

Education

Bachelor's degree or higher in statistics, computer science, mathematics, or related field

Tools

Power BI
Tableau

Job description

DMI is seeking an experienced Senior Data Scientist / Machine Learning Specialist to support data-driven decision-making, advanced analytics, statistical modeling, and ML initiatives within a complex enterprise. You will work with data engineers, software teams, and leadership to translate data into actionable insights and measurable results.

The role requires strong experience with Python, R, SQL, and BI tools such as Power BI and Tableau, plus data governance and cross-organizational

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