Data Scientist III

As a member of the ShipBob Team, you will benefit from an environment where everything is achievable. We aim to be a place where you can:

• Write Your Career Story. Because we are solving some of the most difficult problems in global commerce, you have the opportunity to write the story that will make your career.
• Experience Global Impact and Global Connection.  At ShipBob we benefit from diverse cultures and perspectives in service of the global community.
• Grow With An Ownership Mindset. We believe that great innovation comes from great transparency. We are more resilient and more creative when we have an inclusive and transparent culture where everyone knows our strengths and opportunities.

Title: Data Scientist III

Location: Remote in these states: AZ, CA, CO, FL, GA, KS, KY, IA, ID, IL, IN, MA, ME, MI, MN, MO, NC, NH, NJ, NV, NY, OH, OR, PA, RI, SC, SD, TN, TX, UT, VA, VT, WA, WI 

Role Description: 

As a Data Scientist III, you will be responsible for discovering and analyzing data across all aspects of ShipBob’s business, including supply-chain operations, logistics, sales, marketing and customer support. 

What you’ll do: 

• Identify high impact business opportunities through data exploration, model prototypes and bootstrapping projects.  
• Hands-on development, productionization, and operation of machine learning models and pipelines at scale, including both batch and real-time use cases, structured and unstructured data. 
• Collaborate closely with product management and engineering to develop the next generation of ShipBob's features and communicate findings and insights through reports and visualizations. 
• Mentor and guide engineers in the organization by promoting best practices, strong technical decisions, coding standards and thorough documentation. 
• Regularly present work internally (data science demo, internal talks) to technical, engineering and product stakeholders to iterate and generate excitement. 
• Other duties/responsibilities as necessary. 

What you’ll bring to the table: 

• 6+ years of industry experience (data scientist, ML engineer, tech lead). 
• Solid track record of designing, prototyping, scaling and launching data science products to solve business problems. 
• Deep understanding of Machine Learning lifecycle, best practices, algorithms and domains (e.g. anomaly detection, natural language processing, computer vision, personalization, recommendation, and optimization). 
• Experience collaborating with and understanding the needs of stakeholders from a variety of business functions and ability to work with domain experts …