Applied Scientist

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

Role Description:

We are looking for an Applied Scientist III for our Supply Chain, tasked with optimizing ShipBob's end-to-end supply chain (inventory placement, fulfillment, transportation) for cost and quality. This pioneering role involves supporting our complex network through advanced analytical methods, modeling, and simulation. You will strategically establish the optimal fulfillment center topology and line haul network design, considering cost, customer experience, and conversion. Collaborating with Product and Engineering, you'll employ optimization, simulation, and machine learning techniques to develop system components, evaluate improvements, and navigate trade-offs. This position demands self-motivation, analytical thinking, a data-focused approach, and effective collaboration with various stakeholders across operations, supply chain, finance, revenue, product, and engineering. This role reports to the Senior Staff Applied Scientist.

What you’ll do:

• Work across fulfillment, transportation, and revenue teams to optimize our fulfillment center topology to reduce cost and improve service.
• Collaborate with product, engineering, and data science teams to develop algorithms, improve first time product placement, and develop transportation cost savings entitlements for thousands of merchants.
• Run and execute machine learning and modelling projects/products end-to-end: from ideation, analysis, prototyping, development, metrics, through to production and monitoring.
• Identify opportunities to reduce costs and transit times through new middle mile connections and improvements to parcel carrier allocations.
• Brief complex studies and analyses related to network optimization to senior level leadership (Director to C-Suite).
• Additional duties and responsibilities as necessary.

What you’ll bring to the table:

• 3+ years experience of building optimization models for business application.
• Experience programming in Java, C++, Python or related language.
• Hands-on experience with optimization solvers like Gurobi or CPLEX, and modeling frameworks like Pyomo or OR-Tools is required.
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods, machine learning.
• Graduate studies (MS/PHD) in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics, or equivalent quantitative field is a plus.
• Excellent verbal and written communication skills.
• Experience in applied machine learning and cloud deployment skills (particularly Azure ecosystem) preferred.

Perks & Benefits:

• Medical, Dental, Vision & Basic Life Insurance
• Paid Maternity/Parental Leave Program
• Flexible Time Off Program
• Paid Sick Leave 
• Floating Holidays (2 days/year)
• Wellness Days (1 day/quarter)
• 401K Match 
• Comprehensive Benefits Package >>> https://www.shipbob.com/careers/
• See Our High-Performing Culture >>> Check us out on Instagram (@lifeatshipbob) 

ShipBob believes in transparency while providing a competitive total compensation package with a pay for performance approach. We are targeting a salary range of $112,910 - $150,547 for this role. The full base pay range for this position in our compensation architecture is $112,910 - $188,183. In addition to base salary, this role includes the opportunity to be eligible for participation in the Company's discretionary bonus plan based on Company's plans and in accordance with Company’s policies.