Data Scientist

Company: Adaptive Solutions Group

Location: St Louis, MO (Remote)

Salary: $120k - $130k per year

Type: Full-time

Remote: Yes

Posted: 2026-07-15

About this role

Our top client in the travel/transportation industry is searching for a Data Scientist to join their team! Ideal candidates have 2+ years of experience in Data Science and a PhD (Master's degree minimum required) with a strong background in mathematics and deep learning. You will be working end-to-end with a small team to support a variety of internal initiatives for the company. This is a great opportunity to join a growing team within a global enterprise-level corporation!

This position is remote, but candidates will need to travel to St. Louis, MO for a department meeting 1-2 times/year.

\*Cannot work C2C or 3rd party\*

Required Qualifications

  • Authorized to work in the United States without current or future sponsorship requirements
  • Master's degree in a statistical, mathematical, engineering, social science, or related quantitative field
  • 2+ years of experience with predictive modeling, statistical inference, and deep learning techniques
  • Experience using deep learning frameworks such as TensorFlow or PyTorch
  • Proficiency with Python or R
  • Experience presenting technical concepts and analytical findings to both technical and non-technical audiences
  • Strong analytical, problem-solving, and communication skills
  • Commitment to incorporating security considerations into daily responsibilities

Preferred Qualifications

  • Doctorate degree in a statistical, mathematical, engineering, social science, or related quantitative field
  • Experience designing and analyzing experiments
  • Experience with data exploration and visualization techniques
  • Experience working in Linux/Unix environments
  • Experience writing and optimizing SQL queries
  • Experience integrating and managing data from multiple sources and formats
  • Experience applying causal inference methodologies, including matching, weighting, or related techniques
  • Familiarity with deploying and operationalizing machine learning models

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