Data Scientist III, Forecasting
New
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ShipBob, Inc.Supply Chain Technology
Remote in India, 2:30 pm to 11:30 pm ISTFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 4+ years
- Required Skills
- PythonMachine LearningAzureData engineeringData science
Requirements
- 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.
Responsibilities
- 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.
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