Principal Vehicle Analytics Data Scientist (Remote)

DIESEL LAPTOPS LLC

Irmo (SC)

Hybrid

USD 163,000 - 174,000

Full time

6 days ago
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Job summary

Diesel Laptops LLC is seeking a Principal Data Scientist, Vehicle Analytics, to solve high-impact vehicle and engineering problems using statistics, experimentation, and applied data science. You will work with Software Engineering, Data Engineering, Product, and customer-facing teams to identify opportunities and deploy data-driven capabilities.

This senior role emphasizes choosing appropriate analytical methods over default ML use, with leadership in mentoring and guiding data initiatives

Qualifications

  • Master’s degree in a quantitative field or equivalent professional experience.
  • 7+ years in applied data science, statistics, ML, or quantitative research.
  • Experience solving complex problems with large time-series or high-volume data.
  • Strong proficiency with Python and SQL; deep knowledge of Pandas/NumPy/SciPy.

Responsibilities

  • Investigate complex business and vehicle problems using exploratory data analysis and hypothesis testing.
  • Develop statistical models, anomaly detection, predictive maintenance, and related solutions.
  • Build production-ready analytics workflows and data products with reliable pipelines.
  • Collaborate with Product, Engineering, and Customer teams to define analytical opportunities.
  • Mentor junior staff and promote reproducibility, documentation, and best practices.

Skills

Python
SQL
Pandas
NumPy
SciPy
Jupyter

Education

Master's degree

Tools

Docker
MLflow
PostgreSQL

Job description

Diesel Laptops LLC is seeking a Principal Data Scientist, Vehicle Analytics, to solve high-impact vehicle and engineering problems using statistics, experimentation, and applied data science. You will work with Software Engineering, Data Engineering, Product, and customer-facing teams to identify opportunities and deploy data-driven capabilities.

This senior role emphasizes choosing appropriate analytical methods over default ML use, with leadership in mentoring and guiding data initiatives

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