Lead Machine Learning EngineerABOUT US

Shipwell is fundamentally changing the shipping and logistics industry by building a connected platform that provides solutions for your entire supply chain. We are streamlining the way shippers, 3PLs, and carriers have operated for decades using ground-breaking technology to provide automation and workflow solutions in an established industry that comprises over 5% GDP.  Shipwell created the first truly connected digital supply chain platform that provides real-time connectivity, visibility, automation, and bullet-proof APIs. We are a Series B startup that is backed by world-class investors, such as First Round Capital, Fifth Wall, and Georgian Partners.

LEAD MACHINE LEARNING ENGINEER - Guided Actions Squad

The Guided Action Squad at Shipwell leverages data, analytics, and algorithms to provide optimization and smart automation for our customers. As part of the Data Science Team within that Squad, you will proactively design and deploy algorithms and analytics features on our state-of-the-art platform. This involves collaborating with Product, Engineering, and Operations teams to discover product opportunities and to proactively drive features through development to customer 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:

• Deploy customer-facing product features by developing advanced algorithms and statistics using client proprietary and public domain datasets; projects include scheduling and network optimization, macroeconomic forecasting, pricing, vehicle routing, and resource matching
• Collaborate with operations and product teams to identify business needs, discover product opportunities, develop data-driven solutions, and distill algorithm performance into trackable business impact
• Mentor other members of the Data Science Team by organizing team brainstorm sessions, code reviews, and pair-programming collaborations
• Provide consulting services on both internal and external analytics questions
• Source, clean, and process a diverse set of data streams

What you need to have:

• MS / PhD in data science, operations research, statistics, mathematics, physical science, computer science, engineering, or other technical discipline
• 4 - 10+ years of applied work experience, preferably in a non-academic setting
• Expert knowledge in a mathematical programming language, preferably Python, MATLAB, R
• Experience designing and implementing supervised and unsupervised learning algorithms
• Ability to communicate complex findings in a clear, precise, and actionable manner
• Facility to translate business requirements and high-level ideas into well-defined problems
• Desire to mentor teammates
• Competency with ETL processes for manipulating data sets
• Familiarity with API integrations
• Proactive approach to solving problems

What is Preferred:

• Supply Chain experience
• Enthusiasm towards technical mentorship

WHY SHIPWELL?

• 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

View all our open positions at http://www.shipwell.com/careers

We've announced our $35M Series B financing round! Read more https://shipwell.com/series-b.

Shipwell is an equal opportunity employer. In keeping with the values of Shipwell, we make all employment decisions including hiring, evaluation, termination, promotional and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We have pledged to create a diverse and culturally strong company and environment.