Lead Data Scientist / REMOTE / Great Work Life Balance

Motion Recruitment

Detroit (MI)

Remote

USD 130,000 - 170,000

Full time

14 days+

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Benefits offered by this job

Medical, Dental, Vision Insurance
Career Development Opportunities

Job summary

Motion Recruitment is seeking a Lead Data Scientist to join its AI-focused analytics practice in Detroit. You will build and deploy ML models, translate insights into strategic recommendations, and guide client-facing projects.

You'll work with Python, SQL, Databricks, Azure Machine Learning, Snowflake, Tableau, and cloud platforms to deliver high-impact solutions for enterprise clients and shape the future of data-driven decision making.

Qualifications

  • 5+ years of experience in Data Science, ML, Predictive Analytics, or related fields.
  • Strong programming skills in Python, R, or SAS.
  • Advanced SQL development and optimization experience.
  • Experience deploying machine learning solutions in cloud environments.
  • Expertise in regression, classification, clustering, and statistical modeling.
  • Experience presenting technical insights to business stakeholders.

Responsibilities

  • Lead building models and deploying ML solutions.
  • Collaborate with stakeholders and translate technical insights into strategic recommendations.
  • Engage in client-facing consulting and influence project direction.
  • Work across cloud platforms and data tooling to deliver end-to-end analytics solutions.

Skills

Python
R
SAS
SQL
Cloud deployment
Statistical modeling
Stakeholder communication

Education

Bachelor's degree in Data Science/Statistics/CS/Math

Tools

Databricks
Azure Machine Learning
Snowflake
Tableau/Power BI

Job description

A rapidly growing AI-focused digital consultancy is seeking a Lead Data Scientist to join its advanced analytics practice. This full-time opportunity is ideal for someone who enjoys solving challenging business problems using machine learning, statistical modeling, and cloud-based data platforms. The team leverages technologies including Python, Databricks, Azure Machine Learning, Snowflake, Tableau, and SQL to build impactful solutions for enterprise clients.

This position offers the chance to work on high-visibility initiatives where data science directly influences business outcomes. The ideal candidate enjoys building models, collaborating with stakeholders, and translating technical insights into strategic recommendations. Beyond technical ownership, this role provides exposure to client-facing consulting, emerging AI technologies, and opportunities to shape the future direction of data-driven decision making.

Required Skills & Experience
  • 5+ years of experience in Data Science, Machine Learning, Predictive Analytics, or related fields
  • Strong programming skills in Python, R, or SAS
  • Advanced SQL development and optimization experience
  • Experience deploying machine learning solutions in cloud environments
  • Expertise in regression, classification, clustering, and statistical modeling
  • Experience presenting technical insights to business stakeholders
  • Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or related field
Desired Skills & Experience
  • Databricks experience
  • Azure Machine Learning expertise
  • Snowflake experience
  • Tableau or Power BI visualization skills
  • Consulting, digital agency, or marketing analytics background
  • Exposure to regulated industries such as financial services
  • Master's degree in a quantitative discipline
What You Will Be Doing
Tech Breakdown
  • 40% Machine Learning & Predictive Modeling
  • 25% Data Engineering & Cloud Platforms
  • 20% Analytics & Visualization
  • 15% Client Consulting & Strategy
Daily Responsibilities
  • 75% Hands On
  • 5% Management Duties
  • 20% Team Collaboration
The Offer
  • Competitive hourly rate

You will receive the following benefits:

  • Medical, Dental, and Vision Insurance
  • Career Development Opportunities

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

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