Data Scientist III, Forecasting
ShipBob, Inc.
full-time
Posted on:
Location Type: Remote
Location: India
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About the role
- 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.
Requirements
- 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.
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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningpredictive analyticsdata sciencePythondata engineeringanomaly detectionnatural language processingcomputer visionrecommendation systemsoptimization
Soft Skills
collaborationcommunicationconceptual thinkinginnovative thinkinginfluencingproblem-solvingleadershipstakeholder engagementpresentation skillsadaptability
Certifications
graduate degreeMSPhD