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Data Scientist - Supply Chain & Operations Analytics — Tesla
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Data Science · Verified Opening #9

Data Scientist - Supply Chain & Operations Analytics

business Tesla location_on Austin, TX (On-site) On Site Full Time

Compensation

$150K – 210K/yr

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Published Date

2 weeks ago

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Work Arrangement

On Site • Austin, TX

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Open Positions

2 openings

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Experience Level

Senior

overview Role Overview

About the opportunity

Optimize manufacturing yield, battery supply chain routes, and parts replenishment across Gigafactory facilities.

Tesla's Global Supply Chain & Manufacturing team in Austin is looking for an energetic Data Scientist. You will build dynamic optimization solvers and predictive demand forecasting models that streamline automotive manufacturing lines, reduce component bottlenecks, and maximize battery pack assembly throughput.
task Core Responsibilities

What you will do

  • check_circle Design mixed-integer linear programming (MILP) models and heuristic solvers for global parts logistics.
  • check_circle Analyze IoT sensor streams from factory robotics to predict machine wear and prevent assembly downtime.
  • check_circle Create automated executive dashboards in Python/Streamlit capturing real-time factory KPIs.
  • check_circle Work on the factory floor with manufacturing engineers to implement data-driven process improvements.
verified_user Candidate Profile

What we are looking for

  • arrow_circle_right BS/MS in Industrial Engineering, Operations Research, Data Science, or Computer Science.
  • arrow_circle_right 4+ years applying operations research and machine learning in manufacturing or hardware environments.
  • arrow_circle_right Experience with optimization solvers (Gurobi, CPLEX, SciPy) and high-volume SQL.
code_blocks Technologies & Competencies

Skills & Tech Stack

Operations Research Linear Programming Python Supply Chain Analytics IoT Data SQL
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Why candidate applications stand out

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Verified Technical Credentials

Applications include direct proof-of-work repositories and instructor verification endorsements.

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Fast-Track Hiring Visibility

Direct internal referral channels through enterprise partners bypass automated resume discard filters.

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