Data Scientist / Fully Remote / Work Life Balance

Motion Recruitment; Detroit (MI); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

Career Development Opportunities

Job summary

Motion Recruitment seeks a Data Scientist to join a collaborative analytics and technology consulting team. You will work on forecasting, customer analytics, optimization, and predictive modeling across industries, partnering with stakeholders to drive measurable business outcomes.

The role emphasizes hands-on modeling, data storytelling, and deployment of ML solutions with Databricks, Tableau, and Power BI in a client-facing environment.

Qualifications

• Minimum 2+ years of professional Data Science or Advanced Analytics experience.
• Strong Python development skills and advanced SQL experience.
• Experience building predictive models and ML solutions.
• Experience with forecasting, regression, classification, or segmentation.
• Databricks experience and familiarity with Tableau and/or Power BI.
• Git or GitLab experience; strong communication and stakeholder management.
• Bachelor's degree in a quantitative discipline or equivalent experience.

Responsibilities

• Apply data science methods to forecast, analyze customer data, and support product and market strategies.
• Collaborate with analytics, engineering, and business teams to deliver actionable insights.
• Develop and deploy predictive models; contribute to data-driven decision making.
• Create visualizations and reports using Tableau or Power BI for stakeholders.

Skills

Python development

SQL

Communication

Stakeholder management

Hands-on analytics

Team collaboration

Education

Bachelor's degree in quantitative field

Tools

Databricks

Tableau

Power BI

Git/GitLab

Job description

A rapidly growing analytics and technology consulting organization is seeking a Data Scientist to join its team. This full-time opportunity offers the chance to work with modern analytics technologies including Python, SQL, Databricks, Tableau, Power BI, and machine learning platforms while helping enterprise clients solve complex business challenges through data. Candidates can expect a highly collaborative environment where analytics, engineering, and business strategy intersect.

What makes this opportunity especially exciting is the variety of projects and industries you'll support. Rather than being limited to a single product or business unit, you'll tackle forecasting, customer analytics, optimization, experimentation, and predictive modeling initiatives for organizations making critical decisions around customers, products, and market strategy. This role is ideal for someone who enjoys both deep technical problem solving and partnering with stakeholders to drive measurable business outcomes.

Required Skills & Experience

• 2+ years of professional Data Science or Advanced Analytics experience
• Strong Python development skills
• Advanced SQL experience
• Experience building predictive models and machine learning solutions
• Experience with forecasting, regression, classification, or segmentation
• Databricks experience
• Tableau and/or Power BI experience
• Git or GitLab experience
• Strong communication and stakeholder management skills
• Bachelor's degree in a quantitative discipline or equivalent experience

Desired Skills & Experience

• Optimization modeling experience
• A/B testing and experimentation design
• MLflow or MLOps exposure
• SAS or R experience
• Data governance and data quality expertise
• Experience within consulting environments

What You Will Be Doing

Tech Breakdown

• 40% Python & Machine Learning
• 30% SQL & Data Engineering Collaboration
• 20% Visualization & Reporting
• 10% MLOps & Model Deployment

Daily Responsibilities

• 80% Hands On
• 5% Management Duties
• 15% 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.