Senior Data Scientist

Arrive Logistics is a leading transportation and technology company in North America with plans to grow significantly year over year. Our success is a testament to our remarkable team and what we’re building together. We’re committed to providing employees with a meaningful work experience and have established an award-winning culture that supports personal and career development in a fun, casual, and collaborative environment.

The Senior Data Scientist will work closely with Product and Engineering to translate business needs into data and modeling solutions that contribute to a positive business impact. This position requires an experienced professional who provides technical leadership to their team and oversees the production of machine-learning systems.

• 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 Life Start 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.

$155,000 - $194,000 a year

The base salary range for this position is $155,000 - $194,000, plus bonus and benefits. The range displayed on each job posting reflects the pay range for the position across all locations. Within the range, individual pay is…