Staff Data Scientist
163k - 271k USD
Remote
Full Time
#Engineering
#Machine Learning
#Python
#Data Science
#Data Pipelines
#Software Engineering
#Testing
#Code Reviews
#Deployment
#Data Analysis
#Prototyping
As a member of the ShipBob Team, you will benefit from an environment where everything is achievable. We aim to be a place where you can:
- Write Your Career Story. Because we are solving some of the most difficult problems in global commerce, you have the opportunity to write the story that will make your career.
- Experience Global Impact and Global Connection. At ShipBob we benefit from diverse cultures and perspectives in service of the global community.
- Grow With An Ownership Mindset. We believe that great innovation comes from great transparency. We are more resilient and more creative when we have an inclusive and transparent culture where everyone knows our strengths and opportunities.
Title: Staff Data Scientist
Location: Remote in these states: AZ, CA, CO, FL, GA, KS, KY, IA, ID, IL, IN, MA, ME, MI, MN, MO, NC, NH, NJ, NV, NY, OH, OR, PA, RI, SC, SD, TN, TX, UT, VA, VT, WA, WI
Role Description:
As a Data Scientist you will be responsible for discovering and analyzing data across all aspects of ShipBob’s business, including supply-chain operations, logistics, sales, marketing and customer support.
What you’ll do:
- Identify high impact business opportunities through data exploration, model prototypes and bootstrapping projects.
- Hands-on development, productionization, and operation of machine learning models and pipelines at scale, including both batch and real-time use cases, structured and unstructured data
- Collaborate closely with product management and engineering to develop the next generation of Shipbob's features and communicate findings and insights through reports and visualizations.
- Mentor and guide engineers in the organization by promoting best practices, solid technical decisions, coding standards and thorough documentation
- Regularly present work internally (data science demo, internal talks, to technical, engineering and product stakeholders to iterate and generate excitement.
- Additional duties and responsibilities as necessary.
What you’ll bring to the table:
- 6+ years of industry experience (data scientist, ML engineer, tech lead).
- Excellent track record of designing, prototyping, scaling and launching data science products to solve business problems.
- Deep understanding of Machine Learning lifecycle, best practices, algorithms and domains (eg. anomaly detection, natural language processing, computer vision, personalization, recommendation, and optimization).
- Experience collaborating with and understanding the needs of stakeholders from a variety of business functions and ability to work with domain experts to leverage their expertise for your solution.
- Excellent coding skills in Python and familiarity with software engineering principles around testing, code reviews and deployment.
- Fundamental understandings of the data engineering practice around creation of data pipelines, processing data and storing data.
- Ability to take a product-oriented mindset in using conceptual and innovative thinking to develop and apply solutions taking into consideration the user experience
- Established ability to communicate clearly and effectively to audiences of varying technical levels.
- Experience in supply chain or logistics a plus.
- Familiarity with C# a plus.
Classification: Exempt
Reports to: Director, Software Development
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
- Competitive Salary, Performance Bonus & Equity
- Referral Bonus Program
- Fun Culture >>> Check us out on Instagram (@lifeatshipbob)
ShipBob believes in transparency while providing a competitive total compensation package with a pay for performance approach. The expected base pay range for this position is $162,624 - $271,041.
We recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please still consider applying. Diversity of experience and skills combined with passion is a key to innovation and excellence; therefore, we encourage people from all backgrounds to apply to our positions.
About You:
At ShipBob, we’re looking to bring on board people who embody our core values:
- Be Mission-Driven. We want team members that are passionate about helping entrepreneurs improve their business, and bring that passion every day.
- Be Humble. We have ambitious goals, and our team members understand that success or failure depends on us working together and leaving egos at the door.
- Be Resilient. Logistics is a complicated business. So is software. We value team members that never give up and keep iterating until a problem is solved.
- Be a Creative Problem Solver. As a startup, we value smart, innovative solutions to complex problems. We fall in love with the problem, not our “favorite” solution.
- Be Safety Minded. It’s not just talk; it’s the way you work.
About Us:
ShipBob is a cloud-based logistics platform that partners with thousands of e-commerce businesses to help make their entrepreneurial dreams a reality. We offer a full suite of fulfillment solutions for our merchants, including the ability to improve their transit times, shipping costs and deliver a best in class experience to their customers.
As one of the fastest growing tech companies in Chicago backed by blue-chip investors like Menlo Ventures, Bain Capital Ventures, Hyde Park Venture Partners and SoftBank Vision Fund 2, our goal is to continue to be the best fulfillment technology in the industry.
ShipBob provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
