Data Scientist III - Forecasting

Description :

As a member of the ShipBob Team, you will.

Grow with an Ownership Mindset : We champion continuous learning and proactive innovation. Team members are encouraged to identify challenges and take ownership of initiatives that drive merchant, company and personal growth. By tackling complex problems and exploring creative solutions, you wont just follow a playbook, youll be actively building the future of ShipBob.

Collaborate with Peers and Leaders Alike : ShipBob values collaboration and support, where team members and leaders alike are committed to helping each other succeed. We all set high standards and understand the importance of transparency at all levels. Weve created an environment where trust, open communication, and mutual respect motivate our teams to reach new heights.

Experience a High-Performance Culture and Clear Purpose : Our commitment to delivering results creates a goal-driven, high performance culture where everyone is empowered to contribute to our mission with a clear understanding of their direct impact and accountability.

We measure success in tangible ways, allowing each team member to see the positive outcomes of their work and celebrate shared victories.

Location : Remote in India.

Role Description :

We are seeking a Data Scientist III to advance ShipBobs 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 Senior Staff Applied Scientist.

What Youll 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 ShipBobs 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 Youll Bring To The Table :

- 3+ 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).

- 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 :

- The work we do at ShipBob is both challenging and rigorous, which means our environment isnt the right fit for everyone, and thats okay.

- We welcome energetic high performers who thrive in a dynamic, collaborative, results-driven environment.

- We value individuals who embrace accountability and humility, push boundaries, and are motivated by challenging work.

- Every team member, no matter their role or tenure, is expected to roll up their sleeves and tackle the complex problems we face in todays global supply chain.

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 ShipBobs proprietary warehouse management system for in-house fulfillment, or take advantage of a hybrid solution across ShipBobs 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.

- 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.

(ref:hirist.tech)