Remote Data Science Manager: Optimization & Automation Lead

Inceed, L.L.C.

Houston (TX)

Remote

USD 150,000 - 190,000

Full time

2 days ago
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Job summary

Inceed is partnering with a company to hire a Data Science Manager. This high-impact role leads a growing data science function focused on optimization, automation, and scalable decision-making.

You’ll guide a team building solutions that help business users get the best answers for complex logistics challenges in a fully remote setting. The role involves mentoring, developing automated solutions, translating problems into models, deploying models to cloud servers, and collaborating with

Qualifications

  • Minimum 3 years of management experience.
  • Experience with optimization and problem-solving.
  • Strong Python and SQL skills.
  • Experience working with Snowflake.
  • Hands-on experience with Gurobi.
  • Familiarity with AWS and ECS.
  • Knowledge of PyTorch or scikit-learn.
  • Ability to communicate complex concepts clearly.

Responsibilities

  • Lead and mentor a data science team.
  • Develop automated optimization solutions.
  • Translate business problems into mathematical models.
  • Build tools for route and efficiency decisions.
  • Work with stakeholders to define goals and constraints.
  • Support deployment of models to cloud-based servers.
  • Collaborate on scalable analytics and automation initiatives.
  • Present technical ideas in clear, simple language.

Skills

Python
SQL
Leadership
Communication
Optimization

Tools

Snowflake
Gurobi
AWS
ECS
PyTorch
scikit-learn
Google OR-Tools

Job description

Inceed is partnering with a company to hire a Data Science Manager. This high-impact role leads a growing data science function focused on optimization, automation, and scalable decision-making.

You’ll guide a team building solutions that help business users get the best answers for complex logistics challenges in a fully remote setting. The role involves mentoring, developing automated solutions, translating problems into models, deploying models to cloud servers, and collaborating with

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