Lithia

Data Scientist – Omnichannel Insights Analyst

Lithia

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Salary

💰 $85,000 - $120,000 per year

Job Level

Mid-LevelSenior

Tech Stack

AWSCloudGoogle Cloud PlatformPythonSQLTableau

About the role

  • Analyze behavioral, transactional, demographic, and engagement data across digital and in-store channels to understand customer journeys, segmentation, and lifetime value.
  • Build and refine marketing attribution and ROI models to connect customer behavior and sales performance to campaigns (email, paid media, loyalty, etc.).
  • Integrate and align data across ecommerce, mobile app, CRM, POS, and loyalty platforms to create a unified view of customer activity and business impact.
  • Develop machine learning models and advanced analytics to forecast trends, recommend next-best-actions, and optimize campaigns and promotions.
  • Design and analyze A/B and multivariate experiments using uplift modeling and causal inference techniques.
  • Collaborate with marketing, ecommerce, merchandising, operations, and executive teams to translate data findings into strategy, priorities, and performance dashboards.
  • Create compelling visualizations and presentations to communicate insights to both technical and non-technical stakeholders.
  • Evaluate third-party data sources and platforms for predictive value and integration opportunities.
  • Document data sources, definitions, models, and strategies for transparency and reproducibility.
  • Apply innovative analytical approaches to drive business impact and support decision-making.

Requirements

  • Advanced degree in Statistics, Operations Research, Economics, Engineering, Data Science, or related quantitative field.
  • 3–5 years of experience in predictive analytics, data analysis, or business intelligence, ideally in retail, ecommerce, or consumer-facing environments.
  • High proficiency in SAS (Base SAS and SAS Enterprise Miner certifications preferred).
  • Experience with R, SQL, Python, or other analytical tools.
  • Familiarity with data visualization platforms such as Tableau or Power BI.
  • Strong skills in Excel and Microsoft Office.
  • Experience in marketing analytics, customer segmentation, and attribution modeling.
  • Understanding of omnichannel retail ecosystems and customer data platforms (CDPs).
  • Experience with cloud platforms (e.g., Snowflake, Databricks, AWS, GCP) is a plus.
  • Excellent communication skills with the ability to bridge technical and business domains.
  • Intellectual curiosity, strategic thinking, and a passion for data-driven decision-making.
Benefits
  • Medical, Dental, and Vision Plans
  • Paid Holidays & PTO
  • Short and Long-Term Disability
  • Paid Life Insurance
  • 401(k) Retirement Plan
  • Employee Stock Purchase Plan
  • Lithia Learning Center
  • Vehicle Purchase Discounts
  • Wellness Programs

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
predictive analyticsdata analysisbusiness intelligencemarketing analyticscustomer segmentationattribution modelingmachine learningA/B testingmultivariate testingdata visualization
Soft skills
communication skillsstrategic thinkingintellectual curiositydata-driven decision-making
Certifications
Base SAS certificationSAS Enterprise Miner certification