Shipwell(R) is transforming the supply chain industry by replacing opaque and manual processes through a tech-enabled, fully connected logistics ecosystem with more than 500,000 carrier partners. Our platform uses machine learning to analyze over 100 million rows of real-time data every day, reducing waste and friction, delivering better business intelligence, and driving continuous improvement across our customer supply chains. Shipwell is proud to be recognized by industry experts as a leader in shipping and logistics, including FreightTech 25.
Our Culture
Shipwell is a fast-paced, high-energy start-up that strives to build the future of shipping every day. Diversity of thought and cross-department collaboration is very important to us. We deliver open, honest, careful communication and work as hard as we play. We create & deliver solutions that are revolutionizing the industry, which brings excitement and purpose to our work. If you are looking for a place that will help you tap into your best work-self and give you hands-on experience building something big, then we invite you to come and build the future of shipping with us!
Data Scientist
Data Scientists at Shipwell proactively design and deploy analytics features on our state-of-the-art platform. This involves dynamically collaborating with operations and product teams to discover product improvement opportunities and to proactively drive features through development to adoption. The mission is to underpin operational decisions made at each stage of the supply chain with data-driven insights.
What you'll do when you get here:
- Analyze client proprietary and public domain datasets leveraging advanced analytics and statistics to work on scheduling and network optimization, macroeconomic forecasting, pricing, routing, and resource matching
- Source, clean, and process a diverse set of data streams
- Identify and understand business needs and contextualize analysis results to drive impact for the organization as a whole
- Dynamically collaborate with operations and product teams to discover product improvement opportunities, develop data-driven solutions, and distill algorithm performance into trackable business impact
- Provide consulting services on both internal and external analytic questions
What you need to have:
- BS / MS / PhD in data science, operations research, statistics, mathematics, physical science, computer science, engineering, or other technical discipline
- 2 - 7+ years of applied work experience, preferably in a non-academic setting
- Expert knowledge in a mathematical programming language, preferably Python
- Experience designing and implementing supervised and unsupervised learning algorithms
- Ability to communicate complex findings in a clear, precise, and actionable manner as well as an ability to translate high-level ideas into well-defined problems
- Competency with ETL processes for manipulating data sets
- Proactive approach to solving problems
- Familiarity with API integrations
- Proficiency using a visualization platform (e.g. Tableau, Looker) and manipulating databases (e.g. SQL) is a plus
What we offer:
- 401k
- Career growth opportunities
- Friendly and inclusive company culture
- Team building events and office celebrations
- Competitive compensation with company stock options
- Company sponsored healthcare, dental, and vision insurance
- The kitchen is fully stocked with local coffee, drinks, and snacks
- An open work environment where everyone has a voice
- Subsidized gym, cell phone, learning and commuter reimbursements. Oh yeah, and entertainment reimbursement, we’ve got you covered!
- An exceptional team of passionate, bright, and inspirational coworkers
For more information about Shipwell visit shipwell.com, or connect with us on Twitter, LinkedIn, and Facebook.