About Shipwell
In a world where shipping expectations and complexity are greater than ever, Shipwell is on a mission to empower supply chain efficiency at scale across every company size, stage, and industry. Supply chain solutions today are highly disconnected, rigid, and difficult to use, but Shipwell is disrupting the status quo. Our solution combines everything our customers need in a comprehensive platform that adapts as the market and business demands change, so they can effectively manage the entire process in one place and never have to rip and replace. Shipwell is proud to be recognized by industry experts as a leader in shipping and logistics, including Gartner Magic Quadrant for TMS and Forbes 2020 Next Billion-Dollar Startup. Join us and be part of the Shipping Evolution(R)
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!
About the Role
The Senior Data Scientist will work closely with customers and other teams to understand their questions and needs, then dig into their data-rich environment to find the pieces of their information puzzle. Explore data from various sources, discover patterns and previously hidden insights to address business problems, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help senior leadership make informed decisions.
What you’ll do when you get here:
- Build algorithms in various areas such as optimization, anomaly detection, recommendations, pricing, and other various models as needed by the company.
- Lead the technical development of data science and data engineering.
- Mentor junior members of the team around technical topics.
What you need to have:
- 10 years of experience as a Data Scientist or Engineer
- Experience using Python as a production language. It would be great if you know one or more of the following: R, Scala, C++ or Go.
- Solid understanding of the ML lifecycle and concepts
- Ability to conduct data analytics, supervised and unsupervised machine learning, data mining, exploratory analysis, and statistical analysis, and use scientific techniques to correlate data into graphical, written, visual, and verbal narrative products.
- Ability to proactively retrieve information from various sources, analyze it for better understanding about the data set, and builds AI tools that automate certain processes
- Ability to use logic when evaluating and synthesizing multiple sources of information and interpret analysis to include its meaning, importance, and implications
- Ability to defend analytic judgements with sound, logical conclusions and adapt analytic judgments when presented with new information, evolving conditions, or unexpected developments
- Experience with the design and implementation (building, containerizing, and deploying end to end automated data and ML pipelines) of automated cloud solutions
- Provide expertise for analytical, programmatic, strategic, and operational analysis.
- Perform multiple forms of advanced analyses, sustainment, optimization, text analytics, machine learning, parametric and non-parametric statistical models, and techniques.
- Build, test, validate and demonstrate analytical models through various relevant error metrics and calibration techniques.
What is Preferred:
- Experience developing concise, insightful, and comprehensive products for Logistics customers
- Experience with the application of quantitative and qualitative analytic methods
- Think fast, move fast, action fast. This is less of a research job and more of a build products to market job.
- Ability to recognize nuances and resolve contradictions and inconsistencies in data
- Ability to communicate understanding from information that may be incomplete, indirect, highly complex, seemingly unrelated, or technically advanced
- Possession of excellent verbal and written communication skills, including the ability to mentor junior members on technical topics.
Why Shipwell:
- 401k plan (including match)
- Generous parental leave
- Competitive salary and equity opportunity
- Team building events and office competitions
- Friendly, talented, and inclusive company culture
- Office in Austin, TX or 100% remote
- Health, vision, dental, teladoc, HSA, FSA, & Life insurance
- Incredible growth opportunity at a fast growing company
- Subsidized wifi, cell phone, and educational reimbursements
- Receive a technology package including a MacBook Pro
---The Salary Range for this role is between $200,000 - $220,000 based on Years of Experience, Skillset, and Location.
Here at Shipwell, we are a Remote Forward company. You have the opportunity to work within our office located in Austin, TX or you can choose to be fully remote.
Shipwell is an Equal Opportunity Employer and we will not tolerate discrimination or harassment of any sort. We do celebrate diversity and believe experience comes in different forms; many skills are transferable; and passion goes a long way. Diversity in our team makes for better problem solving, more creative thinking, and ultimately a better product and company culture.
Even more important than your resume is a clear demonstration of impact, dedication, and the ability to thrive in a fast paced and collaborative environment. Shipwell strives to have an inclusive work environment; so if you are hard working & good at what you do then please come as you are. We want you to contribute, grow, & learn at Shipwell and we encourage you to apply if your experience is close to what we’re looking for.
We are looking forward to adding new perspectives to our team!
For more information about Shipwell visit shipwell.com, or connect with us on Twitter @shipwell, LinkedIn, and Facebook.com/Shipwellinc
