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Data Scientist / Fully Remote / Work Life Balance

Motion Recruitment Partners, LLCUnited States🇺🇸United StatesPosted 11 Sept 2026

Why This Role Stands Out

You'll thrive as a Data Scientist in this fully remote role, leveraging modern analytics technologies to solve complex challenges for enterprise clients and gain exposure to diverse projects and industries. This position is perfect for someone who enjoys both deep technical problem-solving and collaborating with stakeholders to drive impactful business outcomes, offering excellent career growth. Apply now to join a rapidly growing organization and make a significant impact!

Quick Overview

Seniority
Mid Senior
Work mode
Remote
Location
United States
Posted
Yesterday
SQLMLOpsMLflowMachine LearningTableauDatabricksGitPower BIPythonStakeholder Management

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.

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