Part-Time Data Scientist: Own Analytics Platform

Industrial Excellence Corp

Livonia (MI)

Presencial

USD 64.000 - 100.000

Tempo parcial

14 dias+

Uma candidatura completa em um minuto

Currículo e carta de apresentação personalizados, prontos para serem enviados.

Passe pelos filtros ATS

Benefícios oferecidos por esta vaga

Full benefits
Growth track
Mentor

Resumo da vaga

Industrial Excellence Corp is seeking a Data Scientist in Livonia, MI to own features end to end—from architecture through deployment and monitoring. The role favors the seasoned, offering a growth track, full benefits, and a compensation range of $64,000 to $100,000 per year for a part-time arrangement.

You will design, build, and maintain backend services, tackle RAG dependencies, and integrate Snowflake, Pandas, and Spark while setting coding standards across the team.

Qualificações

  • Airflow grounding and orchestration experience.
  • Snowflake data integration familiarity.
  • Proficiency with Jupyter notebooks.
  • Backend design, deployment, and monitoring experience.
  • R language experience (4 years).

Responsabilidades

  • Design, build, and maintain reliable backend services using Model Deployment and Pandas.
  • Untangle the RAG dependency knots affecting Livonia releases.
  • Coordinate Snowflake integration to avoid silent data drops.
  • Set analytical coding standards for the engineering team.
  • Decide when to buy Apache Spark versus building it for the Livonia stack.

Conhecimentos

Airflow
Snowflake
Jupyter
R language
Team collaboration

Ferramentas

Pandas
Apache Spark
Snowflake
Jupyter

Descrição da vaga

Industrial Excellence Corp is seeking a Data Scientist in Livonia, MI to own features end to end—from architecture through deployment and monitoring. The role favors the seasoned, offering a growth track, full benefits, and a compensation range of $64,000 to $100,000 per year for a part-time arrangement.

You will design, build, and maintain backend services, tackle RAG dependencies, and integrate Snowflake, Pandas, and Spark while setting coding standards across the team.

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