Hiring.Camp

Senior Data Scientist

Careers l Lineage Logistics

·

Yesterday

Location
US - MI, Novi (Detroit) - Humboldt, United States of America
Workplace
Remote
Type
Full-time
Department
Education
Seniority
Senior
Education
PhD
Source
Workday

Description

At Lineage, our Data Science team is transforming customer experience and commercial decision-making through AI and advanced analytics. We're seeking a Senior Data Scientist to lead high-impact initiatives across both areas. You'll apply machine learning to customer, sales, and operational data, partnering closely with business stakeholders to deliver solutions that improve customer experience and drive measurable business results.

Responsibilities 

  • Own predictive modeling initiatives that turn operational, commercial, and third-party data — including signal extracted via vendor GenAI/LLM APIs and NLP from unstructured sources like customer service interactions and news — into production-grade models that inform business decisions. 

  • Translate customer- and workflow-specific logic behind our customer care automation into scalable, generalizable modeling approaches rather than one-off fixes. 

  • Work directly with vendors and engineering partners to define requirements, validate model outputs against production behavior, and troubleshoot misclassifications. 

  • Socialize findings and model outputs with commercial and operational leadership, translating technical results into clear, actionable narratives for non-technical audiences. 

  • Support teammates on adjacent data science initiatives as capacity allows. 

  • Ship work that is documented, reproducible, and maintainable by others on the team. 

What We're Looking For 

  • 5+ years of applied data science experience (or a PhD plus equivalent applied experience), with a track record of owning models from prototype through production. 

  • Strong hands-on skills in Python and SQL; experience with Snowflake and cloud infrastructure (AWS preferred) a plus 

  • Proficiency in analyzing and interpreting complex datasets using statistical techniques, data modeling, and data visualization tools. 

  • Experience building and validating machine learning models on messy, real-world operational data. 

  • Experience integrating vendor GenAI/LLM APIs into production workflows. 

  • Familiarity with SageMaker and/or MLflow a plus. 

  • Demonstrated ability to work directly with vendors, engineering teams, and non-technical business stakeholders simultaneously. 

  • Excellent written and verbal communication; able to develop a compelling narrative around technical results for both technical and executive audiences. 

  • Comfort operating with general rather than detailed instruction on day-to-day work, and driving structure on ambiguous, newly scoped initiatives. 

Why Lineage?

This is an excellent position to begin your career path within Lineage! Success in this role enables greater responsibilities and promotions! A career at Lineage starts with learning about our business and how each team member plays a part each and every day to satisfy our customers’ requirements. Beyond that, you’ll help us grow and learn on our journey to be the very best employer in our industry. We’ll ask you for your opinion and ensure we do our part to keep you developing and engaged as we grow our business. Working at Lineage is energizing and enjoyable. We value respect and care about our team members.

Lineage is an Equal Employment Opportunity Employer and is committed to compliance with all federal, state, and local laws that prohibit workplace discrimination and unlawful harassment and retaliation.  Lineage will not discriminate against any applicant on the basis of race, color, age, national origin, religion, physical or mental disability or any other protected status under federal, state and local law.

Benefits


Lineage provides safe, stable, reliable work environments, medical, dental, and basic life and disability insurance benefits, 401k retirement plan, paid time off, annual bonus eligibility, and a minimum of 7 holidays throughout the calendar year.

Skills

PythonAWSSQLMachine LearningNLPSnowflakeData ScienceComplianceCustomer Service

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