Lead Data Scientist

C.H Robinson is seeking a Lead Data Scientist on our Digital Brokerage Costing team who combines a strong data intuition with statistical modelling, to develop and improve production data science services. In this role you will design pricing and negotiation algorithms, design and analyze experiments and generate deep insight into the workings of a billion-dollar two-sided marketplace. This role is high impact and requires a breadth of experience in engineering and modeling such as Thompson sampling and Reinforcement Learning.  Individuals should feel comfortable working iteratively in a dynamic cyclical environment and driving to win in a highly competitive freight market. Apply today and join C.H. Robinson, where your expertise will drive innovation and strategic growth, helping to shape the future of global logistics. 

This position is open to candidates located in Minneapolis, Chicago, or Kansas City.  At C.H. Robinson, we’re firm believers in the power of in-person collaboration to fuel innovation and propel success. In this role, you will engage with peers on-site four days a week, igniting creativity and driving impactful results. With the flexibility for remote work one day a week, this role strikes the perfect balance between teamwork and autonomy. 

Duties &Responsibilities: 

The duties and responsibilities of this position consists of, but are not limited to, the following:  

• Build, develop, and maintain models used to provide real time pricing for our NAST Truckload business line. 
• Test, evaluate, and deploy new models and features to achieve better outcomes for key metrics 
• Work collaboratively with other data scientists, our engineering team, and business stakeholders to craft solutions with a holistic view of the problem 
• Communicate the factors of an algorithmic decision process to non-technical stakeholders 
• Partner with data engineers to build reliable data pipelines and to optimize them for model training as well as automating critical analysis tasks 
• Take ownership of a machine learning model lifecycle from requirements scoping all the way through model development, deployment, and continual evaluation of outcomes 

Required Qualifications: 

• 5 + years of Experience with Statistical and Machine Learning Algorithms 
• 3+ years of experience and fluency in Python or R  
• Proficiency with writing queries on relational databases (SQL) 
• Expertise in Hypothesis testing and experimental analysis 
• Familiarity with standard modeling techniques including model evaluation and testing (e.g., cross validation) 
• MS in Statistics, Computer Science, or a related field with 2+ years of experience or equivalent academic experience with a PhD in a relevant field. 

Preferred Qualifications: 

• Experience with software engineering for data science applications and writing code for production systems. 
• Familiarity with causal modeling techniques for observational data 
• Experience with reinforcement learning  
• Strong skills with database querying languages and maintaining intelligently structured data. 
• Experience using data visualization techniques for data analysis and model explainability 
• Familiarity with feature selection and dimensionality reduction methods 
• Familiarity with Airflow, Azure Cloud, FastAPI, Docker, Kafka, Kubernetes, Snowflake 

We will review applications for this role on an ongoing basis and encourage all interested candidates to apply at their earliest convenience.

Compensation Range

The base pay range displayed on the job posting reflects the minimum and maximum base pay for this specific location.  Your individual base pay within this range is determined by job-related skills, experience, and relevant education or training.  During the hiring process, your recruiter will provide more details. Compensation details listed in this posting reflect the base pay only and do not include additional variable compensation.

Questioning if you meet the mark? Studies have shown that women, people of color, and individuals with disabilities may be less likely to apply unless they match the job description exactly. Here at C.H. Robinson, we’re building a diverse and inclusive workplace where all employees feel they belong. If this position excites you, we welcome you to apply whether you check all the preferred qualifications or just a few. You may just be our next great fit!

Equal Opportunity and Affirmative Action Employer

C.H. Robinson is proud to be an Equal Opportunity and Affirmative Action employer. We believe in equality for all and celebrate the diversity of our employees, customers and communities. We believe this increases creativity and innovation, drives business growth and enables engaged and thriving teams.  We’re committed to providing an inclusive environment, free from harassment and discrimination, where all employees feel welcomed, valued and respected.

Affirmative Action Employer/EOE/M/F/Disabled/Veteran 

Benefits

Your Health, Wealth and Self

Your total wellbeing is the foundation of our business, and our benefits support your financial, family and personal goals. We provide the top-tier benefits that matter to you most, including:

• Two medical plans (including a High Deductible Health Plan)

• Prescription drug coverage

• Enhanced Fertility benefits

• Flexible Spending Accounts

• Health Savings Account (including employer contribution)

• Dental and Vision

• Basic and Supplemental Life Insurance

• Short-Term and Long-Term Disability

• Paid and floating holidays

• Paid time off (PTO)

• Paid parental leave

• Paid time off to volunteer in your community

• Charitable Giving Match Program

• 401(k) with 6% company matching

• Employee Stock Purchase Plan

• Plus a broad range of career development, networking, and team-building opportunities

Dig in to our full list of benefits on OUR CULTURE page.