Lead Data Scientist / REMOTE / Great Work Life Balance

Motion Recruitment; Detroit (MI); On-site; USD 83,000 - 165,000; Full time

Benefits offered by this job

Medical, Dental, and Vision Insurance

Career Development Opportunities

Job summary

Motion Recruitment in Detroit is seeking a Lead Data Scientist to join its AI-focused analytics practice. You will solve business problems using machine learning, statistical modeling, and cloud-based data platforms, delivering measurable outcomes for enterprise clients.

You will build models, collaborate with stakeholders, and translate technical insights into strategic recommendations, while gaining exposure to client-facing consulting and emerging AI technologies.

Qualifications

• 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.

Responsibilities

• Lead ML and predictive modeling initiatives.
• Develop data pipelines on cloud platforms.
• Create analytics and visualizations for clients.
• Engage with clients to translate findings into strategy.
• Hands-on coding and model evaluation.

Skills

Python

R

SAS

SQL

Stakeholder communication

Cloud ML deployment

Statistical modeling

ML / Predictive analytics

Education

Bachelor's degree in Data Science or related

Master's degree preferred

Tools

Databricks

Azure Machine Learning

Snowflake

Tableau or 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.