Own the design, development, and iteration of production machine-learning systems that drive operational and business outcomes.
Lead modeling, feature engineering, and dataset development for predictive and decisioning use cases.
Design and maintain evaluation frameworks that reflect real-world behavior and business impact.
Build and evolve LLM
and NLP-based pipelines to transform unstructured data into reliable operational datasets.
Define and monitor quality, coverage, and reliability of ML and LLM/NLP systems at scale.
Perform deep analysis of model and system performance to identify bias, data gaps, and systematic failure modes.
Partner closely with Product and Engineering to translate business needs into data and modeling solutions, and to support productionization and ongoing iteration.
Contribute to and define monitoring for model performance, data quality, and downstream business impact.
Act as a senior technical owner and reviewer for data science work across the team.

Master’s degree or PhD in a quantitative field and 5+ years of industry experience building and owning production data science or machine learning systems.
Experience developing predictive or decisioning models used in operational or real-time settings.
Demonstrated experience working with complex, multi-source datasets, including feature development and data quality challenges.
Experience building, deploying, and evaluating NLP or LLM-based systems in production.
Strong proficiency in Python and SQL in production analytics or machine learning environments.
Proven ability to partner with engineering teams to deploy, monitor, and iterate on models and data pipelines.
Ability to independently scope and drive ambiguous data science problems from problem definition through production impact.
Experience with explainability, model diagnostics, and stakeholder-facing performance reporting is a plus.
Transportation logistics industry experience is a plus.

Take advantage of excellent benefits, including medical, dental, vision, life, and disability coverage.
Invest in your future with our matching 401(k) program.
Build relationships and take part in learning opportunities through our Employee Resource Groups.
Enjoy office wide engagement activities, team events, happy hours and more!
Leave the suit and tie at home; our dress code is casual.
Work in the heart of downtown Chicago, IL!
There are CTA and L train stops walking distance from the office and you can store your bike safely inside of the building.
Sweat it out at the LifeStart gym in our office building that includes brand new Peloton bikes, top-of-the-line equipment and personal training options.
Maximize your wellness with free counseling sessions through our Employee Assistance Program
Get paid to work with your friends through our Referral Program!
Take time to manage your physical and mental health
we offer company paid holidays, paid vacation time and wellness days.
Receive 100% paid parental leave when you become a new parent.
Get relocation assistance! If you are not local to the area, we offer relocation packages.

Senior Data Scientist

Key skills