Data Scientist I - Full Stack Management Trainee

Mulligan Funding

$90K — $107K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree or higher in Mathematics, Statistics, or a Quantitative field.
  • Hands-on experience with A/B testing methodologies and experimental design.
  • Proven experience building ML models with exposure to MLOps principles.
  • Ability to productionalize code using GitHub and manage code versioning.

Responsibilities

  • Assist in constructing, testing, and deploying machine learning models.
  • Design and evaluate experimental designs and A/B testing methodologies.
  • Productionalize data science code utilizing GitHub and modern MLOps pipelines.
  • Collaborate with data vendors to maximize data utilization.

Benefits

  • Collaborative environment with senior engineering and data science leads.
  • Engagement in cutting-edge machine learning and MLOps activities.
  • Opportunity to make an immediate impact on production systems.
Full Job Description
The Data Scientist I - Full Stack Management Trainee role focuses on machine learning development, model deployment, and MLOps. Working alongside senior engineering and data science leads, you will take ownership of model construction, experimental design, pipeline development, and code productionalization on cloud infrastructure, making an immediate impact on our production systems.

You will:

  • Assist in constructing, testing, and deploying machine learning models.
  • Design and evaluate experimental designs and A/B testing methodologies.
  • Productionalize data science code utilizing GitHub, version control, and modern MLOps pipelines.
  • Work with data vendors in pushing data boundaries.


Qualifications & Requirements

  • Education: Master's degree or higher in Mathematics, Statistics, or a Quantitative field.
  • Statistical Expertise: Hands-on experience with A/B testing methodologies and experimental design.
  • ML & Engineering: Proven experience building ML models and exposure to MLOps principles.
  • Production Skills: Ability to productionalize code using GitHub and manage code versioning.


$90,000 - $107,300 a year

A reasonable estimate of the base salary range for this role is $90,000 to $107,300 per year. In determining final compensation within the base range, Mulligan Funding considers a variety of factors, including market data, relevant experience, skills, and past performance.

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