Senior Data Scientist

C.H Robinson is seeking a highly skilled statistician for the role of Senior Data Scientist. This role would use expert statistical modeling knowledge to drive business impact. This Senior Data Scientist is primarily responsible for designing, implementing, and analyzing statistical experiments. Another key aspect of this role will be translating experimental results into actionable insights for key stakeholders. In this role, you will help to improve the world's supply chains and develop a deep expertise in existing and novel statistical and mathematical techniques while partnering with our team of technologists to bring it to life on a cutting-edge technology stack. 

We are on a mission to disrupt the logistics industry and take our technology to new heights with data science. Our Data Science department is quickly growing core capacities in multiple areas and is looking to add a candidate strong are in advanced mathematics and statistical modelling; From digitizing the search experience, to optimizing core quoting and costing engines, we are dedicated to the art of understanding the preferences of our users, carriers, and customers by leveraging experimentation to deliver optimized quotes to customers and relevant freight to our carriers. 

Responsibilities: 

• Design, implement, and analyze experiments
• Translate results of experimentation into actionable insights for stakeholders 
• Validate and implement modelling improvements to increase accuracy of data science algorithms 
• Evaluate and understand current & nascent modelling methods in the Data Science space 
• Execute work independently and ability to manage ambiguity 
• Embrace an R&D mindset through rapid prototyping & iterative experimentation 
• Work closely with our technologists to implement models in a production environment 
• Other duties or responsibilities as assigned according to the team and/or country specific requirements 

Required Qualifications: 

• Masters or PhD in statistics, biostatistics, or similar discipline. 
• 3+ years of experience in advanced analytics, statistics, and/or data science. Recent Statistics/Biostatistics PhD graduates with 0-3 years of experience are also encouraged to apply.  
• Experience with various statistical methods, including boosting, generalized linear models, classification, regression, etc. 
• Proficiency in R
• Strong knowledge of experimental design, hypothesis testing, and analysis 
• Mastery of exploratory data analysis and data visualization 
• Strong familiarity with algorithm trade-offs when solving complex issues 

Preferred Qualifications: 

• Knowledge of Online Controlled Experiments 
• Experience with Monte Carlo and Bayesian modeling methods 
• Knowledge of nested/hierarchical and other complex experimental designs 
• Experience with bootstrapping and nonparametric approaches to statistical inference 
• Familiarity with data fundamentals including SQL 
• Proven ability to work with a high degree of autonomy and out-of-the-box thinking 
• Demonstrated having conducted deep research into a targeted subject area 
• Strong sense of urgency and an ability to prioritize work effectively to maximize output and productivity 
• Values a diverse and inclusive work environment