Data Scientist working at HP analyzing complex data sets using statistical techniques. Developing data - driven models and insights to improve organizational performance while mentoring project teams.
About the role
- Senior Data Scientist developing data and modeling solutions to drive business outcomes at Arrive Logistics. Collaborating with Product and Engineering for machine-learning system production and leadership.
Responsibilities
- 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.
Requirements
- 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.
Benefits
- 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.
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