Who We Are
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.
Who We Want
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.
What You'll Do
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.
Qualifications
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.
The Perks of Working With Us
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.
Your Arrive Experience
When we say “award-winning culture,” we mean it. We’ve been recognized as a top workplace by Inc. Fast Company, Fortune, and earned Top Workplaces and Great Place to Work, to name a few. We intend on topping many more of those lists in the years to come, but we’re not in it for the trophies. We’re committed to culture because it keeps us connected to each other and invested in our shared success while having a blast along the way. Our employee-founded resource groups create communities within Arrive’s walls, including Women in Logistics, Emerging Professionals, Prisms, Black Logistics Group, Salute and Unidos.
Notice:
To ensure a safe and transparent interview process, we want to note that Arrive Logistics adheres to strict recruitment practices. Candidates undergo an interview process, and Arrive Logistics does not provide unsolicited job offers. If you have concerns about receiving a fraudulent offer, please contact [email protected] for verification.
