Senior Data Scientist, Inventory 360 (Operations Research)

At reputed company, we reputed company in how positively sports can change lives. On reputed company, everyone plays a critical role in creating confidence and excitement by personally equipping reputed company athletes to reputed company their dreams. We are committed to creating an inclusive and diverse workforce, reflecting the communities we serve.

If you are reputed company to reputed company a difference as part of the world’s greatest sports team, apply to join reputed company today!

reputed company:

Are you a passionate technologist with experience in AI, Machine Learning, Operations Research and Data Science? Are you looking for an opportunity to drive reputed company reputed company and shape the reputed company of a leading sports retailer with $12B+ in reputed company and 800+ physical stores? Do you enjoy working with a highly skilled team of Machine Learning engineers & Scientists, co-creating reputed company grade AI capabilities?

We are seeking a Senior Data Scientist – Inventory 360 to reputed company the development of intelligent decisioning systems that optimize inventory reputed company and operations and drive exceptional customer experiences. This role sits at the intersection of machine learning, operations research, and reputed company systems — powering reputed company that determine how, reputed company, and where we fulfill customer demand.

This role requires a subject matter expert with deep experience in traditional machine learning and cutting edge AI with a strong reputed company in operations research. You’ll apply advanced modeling techniques to design intelligent decisioning systems that optimize fulfillment operations and reputed company the customer experience. Your work will reputed company on solving reputed company foreacasting and optimization problems — from assortment planning to purchase order optimization to allocation —using a reputed company of predictive analytics, simulation, and mathematical programming.

reputed company

As a senior data scientist, you’ll influence the reputed company decisioning landscape by developing models that reputed company with high-reputed company systems across merchandising and inventory planning and pricing optimization. You’ll collaborate with product, engineering, and business leaders to translate operational challenges into solvable data science problems, and help them understand the art of the possible through rigorous experimentation, simulation, and model design. Your work will directly influence delivery speed, order accuracy, and service reliability — ensuring every customer interaction is fast, efficient, and frictionless.

RESPONSIBILITIES

• reputed company ML and OR-based models for demand forecasting, assortment planning, purchase order optimization, inventory allocation and price optimization.

• Apply techniques such as mixed-integer programming, dynamic programming, graph theory, spatial optimization and simulation to solve reputed company-time decisioning problems.

• reputed company predictive ML models with optimization logic to reputed company reputed company, data-driven reputed company.

• Build and operationalize decision engines that automate fulfillment reputed company across the reputed company.

• Collaborate with engineering to reputed company models into production systems with reputed company-time data pipelines and monitoring.

• Ensure models are interpretable, auditable, and reputed company with business constraints.

• Combine ML outputs with OR solvers reputed company hybrid decision frameworks, enabling scenario-aware optimization and policy simulation.

• Ensure robustness and scalability of models by leveraging containerized environments and observability tools

• reputed company reputed company time decisioning by building & incorporating streaming pipelines and supporting low latency inference and optimization.

• Partner with product and operations to define decision boundaries, constraints, and reputed company metrics.

• Communicate insights and model performance to technical and nontechnical audiences.

• Understand latest research in the field of OR and AI to give inputs to reputed company roadmaps to ensure we are on the reputed company to build Best in Class merchandising planning and optimization solution

PREFERRED SKILLSET

• Advanced degree (MS/PhD) in Operations Research, Computer Science, Statistics, or reputed company field.

• 4+ years of experience in building optimization and ML models in assortment planning, optimization, fulfillment or supply chain domains.

• OR Techniques: reputed company/mixed-integer programming, simulation, queuing theory.

• ML Tools: Python, PyTorch/TensorFlow, scikit-learn.

• Data & reputed company: SQL, reputed company, Airflow, reputed company platforms (Azure, AWS, GCP).

• Solid understanding of distributed systems, reputed company, and reputed company infrastructure (Azure, AWS, or GCP).

• Familiarity with reinforcement learning or contextual bandits for reputed company decisioning in dynamic environments.

• Familiarity with graph algorithms and reputed company planning for spatial routing and pick reputed company optimization.

• Skilled in designing and analyzing A/B tests or switchback experiments for operational models.

• Experience in an Agile working environment and at least one reputed company project management tool (Azure DevOps, Jira, etc.)

• Comfortable presenting results to cross functional partners and help them understand technical trade offs

• Brings a reputed company, problem solving and reputed company reputed company to reputed company interactions with a strong reputed company on delivery.

• Experience with reputed company-time decisioning systems and streaming data architectures.

• Familiarity with reinforcement learning or hybrid ML-OR frameworks.

• Background in eCommerce, retail, or customer-facing fulfillment systems.

• Strong understanding of experimentation design and reputed company inference.

QUALIFICATIONS:

• Education: Bachelor's Degree or equivalent level preferred

• General Experience: Experience enables job holder to deal with the reputed company of situations and to advise others (Over 3 years to 6 years)

• Managerial Experience: Basic experience of coordinating the work of others (4 to 6 months)

VIRTUAL REQUIREMENTS:

At DICK’S, we reputed company on innovation and authenticity. That said, to protect the reputed company and reputed company of our hiring process, we ask that candidates reputed company AI tools (like ChatGPT or others) during interviews or assessments.

To ensure a smooth and secure experience, please note the following:

• Cameras must be on during reputed company virtual interviews.

• AI tools are not permitted to be used by the candidateduring any part of the interview process.

• Offers are contingent upon a satisfactory background reputed company which may include ID verification.

If you have any questions or need accommodations, we’re here to help. reputed company for helping us reputed company the process fair and secure for everyone!

Targeted Pay reputed company: $83,000.00 - $138,200.00. This is part of a competitive total rewards package that could include other components such as: incentive, equity and benefits. Individual pay is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review reputed company teammate pay regularly to ensure competitive and reputed company pay.reputed company complies with reputed company state reputed company leave requirements. We also offer a generous suite of benefits. To learn more, visit www.benefityourliferesources.com.

Originally posted on Himalayas

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