As a member of the ShipBob Team, you will...
- Grow with an Ownership Mindset: We champion continuous learning and innovation. You'll take on real problems, create tangible solutions, and drive results that move the needle for ShipBob, our merchants, and for your own professional growth. If you're ready to do the most meaningful work of your career, this is the place.
- Collaborate with Peers and Leaders Alike: At ShipBob, leaders are accessible; feedback flows in both directions, and everyone, regardless of their seniority or role, steps up to help when needed. We hold each other to high standards because we trust each other to meet them. That combination of transparency and mutual respect is what makes the work here feel worth doing.
- Experience a High-Performance Culture and Clear Purpose: We are results-driven and clear about what that means: our goals are specific, accountability is shared, and every team member can see how their work connects to our mission. When we hit milestones, we celebrate them together. When we fall short, we learn and move forward.
Location: Remote in India
Shift: 2:30 pm to 11:30 pm IST
Role Description:
We are seeking a Data Scientist III to advance ShipBob’s predictive capabilities across sales, inventory, transportation, and transit time estimation. This role is pivotal in building robust forecasting models that power strategic choices and operational excellence. You will design and deploy machine learning solutions that anticipate demand, optimize inventory levels, and improve delivery accuracy, directly impacting customer experience and cost efficiency.
As part of a cross-functional team, you will collaborate with Product, Engineering, and Operations to translate business needs into scalable predictive systems. Leveraging statistical modeling, time-series analysis, and machine learning techniques, you will develop models that forecast trends, mitigate risks, and enable proactive planning. This position requires strong analytical thinking, a data-informed mindset, and the ability to communicate insights effectively to stakeholders across supply chain, finance, and product teams. This role reports to Director, Supply Chain Forecasting.
What you’ll do:
- Develop and deploy advanced forecasting models for sales, inventory, transportation, and transit time estimation to improve accuracy and operational efficiency.
- Collaborate closely with fulfillment, transportation, revenue, product, engineering, and data science teams to translate business needs into predictive solutions that drive cost savings and enhance customer experience.
- Own machine learning projects end-to-end—from ideation, data exploration, and prototyping to production deployment, monitoring, and continuous improvement.
- Identify opportunities for optimization by leveraging predictive analytics to reduce costs, improve inventory placement, and minimize transit times across ShipBob’s global network.
- Communicate insights and recommendations effectively through reports, dashboards, and presentations to senior stakeholders (Director to C-Suite), influencing strategic choices.
- Promotes best practices in modeling and experimentation, ensuring scalability, reliability, and measurable impact.
- Additional duties and responsibilities as necessary.
What you’ll bring to the table:
- 4+ years of industry experience in data science, machine learning engineering, or technical leadership roles.
- Proven ability to design, prototype, scale, and launch data science solutions that address real business needs.
- Strong understanding of the machine learning lifecycle, including best practices, algorithms, and domains such as anomaly detection, NLP, computer vision, personalization, recommendation, and optimization.
- Experience collaborating with cross-functional stakeholders and leveraging domain expertise to deliver impactful solutions.
- Excellent programming skills in Python and familiarity with software engineering principles (testing, code reviews, deployment).
- Working knowledge of data engineering fundamentals, including building data pipelines, processing, and storage.
- Product-oriented mindset with the ability to apply conceptual and innovative thinking to create user-focused solutions.
- Clear and effective communication skills for audiences at varying technical levels.
- Graduate degree (MS/PhD) in a quantitative field (engineering, computer science, machine learning, operations research, statistics, mathematics) is a plus.
- Experience with applied machine learning and cloud deployment (preferably in the Azure ecosystem) is highly desirable.
Perks & Benefits:
- Medical, Term & Accidental Insurance
- All Purpose Leave (casual & sick time): 12 days
- Earned Leave: 15 days
- Public Holiday: 12 days
- Generous Maternity & Paternity Leave
- Quarterly Wellness Day
- Work From Home Allowance
- See Our High-Performing Culture >>> Check us out on Instagram (@lifeatshipbob)
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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:
Building the world’s leading full-stack fulfillment platform is challenging work. The problems we solve are complex, the pace is fast, and the bar is high. That means ShipBob’s environment isn’t the right fit for everyone, and that’s okay. If you are ready to take ownership, push boundaries, and grow alongside a team that genuinely supports each other, we would love to hear from you.
Learn more about our core values and how we perform at a high level in our day-to-day work on our Culture page (https://www.shipbob.com/careers/culture/).
About Us:
ShipBob is a leading global supply chain and fulfillment technology platform designed for SMB and Mid-Market ecommerce merchants to provide them access to best-in-class capabilities and to deliver a delightful shopper experience. Merchants can outsource their entire fulfillment operations, utilize ShipBob’s proprietary warehouse management system for in-house fulfillment, or take advantage of a hybrid solution across ShipBob’s dozens of fulfillment center network in the United States, Canada, United Kingdom, Europe, and Australia. ShipBob is backed by leading investors like Menlo Ventures, Bain Capital Ventures, Hyde Park Venture Partners, and SoftBank Vision Fund 2, and is one of the fastest-growing tech companies headquartered in Chicago.
At ShipBob, every full-time employee gets access to our best-in-class AI and productivity tools from Day 1 at no cost. This isn't a pilot or a perk for select teams. It's standard for everyone. We believe innovation isn't owned by one department. Whether you're in Talent, Operations, Finance, Engineering, or Customer Success, we expect you to ask: how can this be done better, faster, or smarter? These tools are our investment in your ability to find those answers.
We may use AI-powered tools during our interview process to support things like notetaking and organizing feedback so our teams can stay focused on getting to know you. These tools help create a more consistent and thoughtful experience. That said, every hiring decision is made by a human.
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.
There is no deadline to apply for this position, as ShipBob accepts applications on an ongoing basis.
Skills Required
- 4+ years of industry experience in data science, machine learning engineering, or technical leadership roles.
- Proven ability to design, prototype, scale, and launch data science solutions that address real business needs.
- Strong understanding of the machine learning lifecycle, including algorithms and domains such as anomaly detection, NLP, computer vision, personalization, recommendation, and optimization.
- Experience collaborating with cross-functional stakeholders and leveraging domain expertise to deliver impactful solutions.
- Excellent programming skills in Python.
- Familiarity with software engineering principles (testing, code reviews, deployment).
- Working knowledge of data engineering fundamentals, including building data pipelines, processing, and storage.
- Product-oriented mindset with ability to apply conceptual and innovative thinking to create user-focused solutions.
- Clear and effective communication skills for audiences at varying technical levels.
- Graduate degree (MS/PhD) in a quantitative field (engineering, computer science, machine learning, operations research, statistics, mathematics).
- Experience with applied machine learning and cloud deployment (preferably in the Azure ecosystem).
What We Do
Founded in 2014, ShipBob is a tech-enabled 3PL that offers simple, fast and affordable fulfillment for thousands of brands with an international fulfillment network across the US, Canada, Europe, and Australia. ShipBob's proprietary technology combines order and inventory management, warehouse management, predictive data and analytics, as well as optimized shipping for ecommerce companies.
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