Senior Data Scientist

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  "last_changed_at": "2026-05-29T07:00:54.040Z",
  "active_status": "active"
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  "language": "en",
  "location": {
    "raw": "Chicago, IL",
    "city": "Chicago",
    "region": "IL",
    "country": "United States",
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    "language": "en",
    "location": {
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      "region": "IL",
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      "United States"
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  "salary_period": "year",
  "workplace_type": "on_site",
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{
  "lists": [
    {
      "text": "What You'll Do",
      "content": "\n<li>Own the design, development, and iteration of production machine-learning systems that drive operational and business outcomes.</li>\n<li>Lead modeling, feature engineering, and dataset development for predictive and decisioning use cases.</li>\n<li>Design and maintain evaluation frameworks that reflect real-world behavior and business impact.</li>\n<li>Build and evolve LLM- and NLP-based pipelines to transform unstructured data into reliable operational datasets.</li>\n<li>Define and monitor quality, coverage, and reliability of ML and LLM/NLP systems at scale.</li>\n<li>Perform deep analysis of model and system performance to identify bias, data gaps, and systematic failure modes.</li>\n<li>Partner closely with Product and Engineering to translate business needs into data and modeling solutions, and to support productionization and ongoing iteration.</li>\n<li>Contribute to and define monitoring for model performance, data quality, and downstream business impact.</li>\n<li>Act as a senior technical owner and reviewer for data science work across the team.</li>\n"
    },
    {
      "text": "Qualifications",
      "content": "\n<li>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.</li>\n<li>Experience developing predictive or decisioning models used in operational or real-time settings.</li>\n<li>Demonstrated experience working with complex, multi-source datasets, including feature development and data quality challenges.</li>\n<li>Experience building, deploying, and evaluating NLP or LLM-based systems in production.</li>\n<li>Strong proficiency in Python and SQL in production analytics or machine learning environments.</li>\n<li>Proven ability to partner with engineering teams to deploy, monitor, and iterate on models and data pipelines.</li>\n<li>Ability to independently scope and drive ambiguous data science problems from problem definition through production impact.</li>\n<li>Experience with explainability, model diagnostics, and stakeholder-facing performance reporting is a plus.</li>\n<li>Transportation logistics industry experience is a plus.</li>\n"
    },
    {
      "text": "The Perks of Working With Us",
      "content": "\n<li>Take advantage of excellent benefits, including medical, dental, vision, life, and disability coverage.</li>\n<li>Invest in your future with our matching 401(k) program.</li>\n<li>Build relationships and take part in learning opportunities through our Employee Resource Groups.</li>\n<li>Enjoy office wide engagement activities, team events, happy hours and more!</li>\n<li>Leave the suit and tie at home; our dress code is casual.</li>\n<li>Work in the heart of downtown Chicago, IL!</li>\n<li>There are CTA and L train stops walking distance from the office and you can store your bike safely inside of the building.</li>\n<li>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.</li>\n<li>Maximize your wellness with free counseling sessions through our Employee Assistance Program</li>\n<li>Get paid to work with your friends through our Referral Program!</li>\n<li>Take time to manage your physical and mental health - we offer company paid holidays, paid vacation time and wellness days.</li>\n<li>Receive 100% paid parental leave when you become a new parent.</li>\n<li>Get relocation assistance! If you are not local to the area, we offer relocation packages.</li>\n"
    }
  ],
  "country": "US",
  "createdAt": 1635977808155,
  "updatedAt": null,
  "categories": {
    "team": "Data Science",
    "level": "Senior",
    "location": "Chicago, IL",
    "commitment": "Full-time",
    "department": "Development",
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      "Chicago, IL"
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