Here at ShipStation, part of Auctane, we're passionate about helping online businesses become more productive. We save thousands of merchants hours every day by automating the fulfillment side of their business. We partner with top eCommerce and shipping companies to make a previously complicated and labor-intensive process simple and enjoyable.
As a Senior Data Scientist, you will solve challenging logistics and optimization problems to make our customers more successful. You will analyze large amounts of data from a variety of sources, discover and solve real world problems, and develop metrics and business cases that will enable us to continually delight ShipStation customers. The ideal candidate will be a self-starter, highly analytical, and intensely detailed with a strong customer focus.
Work with the Director of Data Science to plan, implement, and support machine learning projects to help our customers work and ship more efficiently
Communicate the results and methodology effectively within the team and to stakeholders across the business
Stay on top of innovations and technologies in the world of machine learning
Collaborate with people in our Product and Engineering teams to put your work in the hands of customers
Participate in regular project reviews
Provide feedback to other members of the team
Mentor junior members of the team
Use visualization, reporting and other tools to improve the ways in which our team accesses and interprets datasets.
Measure and continuously improve the accuracy of predictive models.
Effectively document and communicate methodologies and results.
Use data to inform and influence the direction of product roadmap.
Required Education and/or Experience:
Bachelor’s degree in Computer Science, Math or equivalent years of relevant work experience
Five plus (5+) years of quantitative experience with large data-sets, from prototyping to business impact
Two plus (2+) years’ experience with SQL and relational databases (e.g. PostgreSQL, MySQL, SQL Server)
Skills and Knowledge:
Solid understanding of machine learning and statistical methods with their underlying theory and math.
Demonstrated work in building, deploying, and demonstrating business value from predictive models and data products.
Solid software development experience, including translating ML models into production software.
Skills and Knowledge:
Strong and persuasive communication skills.
Knowledge of geospatial analysis
Knowledge of AWS/GCP/Azure
Working knowledge with NLP a strong plus
Python, R, Scala, Git Docker
SQL; (e.g. PostgreSQL, MySQL, SQL Server)
Equal Opportunity Employer/Veterans/Disabled