Sr Data Scientist- Supply Chain

About us:

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers.

Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up . Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful.

Overview about TII- At Target, we have a timeless purpose and a proven strategy. And that hasn t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target s global team and has more than 4,000 team members supporting the company s global strategy and operations.

Team Overview:

Our Supply Chain Data Science team oversees the development of state-of-the-art mathematical techniques to help solve important problems for Target s Supply Chain e.g., identifying the optimal quantities and positioning of inventory across multiple channels and locations, planning for the right mix of inventory investments vs guest experience, digital order fulfillment planning, transportation resource planning, etc. As a Senior Data Scientist in Digital fulfilment space, you will have the opportunity to work with Product, Tech, and Business Partners to solve retail challenges at scale for our fulfillment network.

Position Overview:

As a Senior Data Scientist at Target, you will get an opportunity design, develop, deploy, and maintain data science models and tools. You ll work closely with applied data scientists, data analysts and business partners to continuously learn and understand evolving business needs. You ll also collaborate with engineers and data scientists on peer teams to build and productionize fulfillment solutions for our supply chain/logistics needs.
- Develop a strong understanding of

business/ operational processes within Target s supply chain.
- Develop an in-depth understanding of the various systems and processes that influence

digital order fulfillment speed & costs.
- Develop optimization-based solutions, approximate mathematical models (probabilistic/deterministic models) of real-world phenomena, predictive models and implement the same in real production systems with measurable impact.
- Analyze large datasets for insights leading to business process improvements or solution development.
- Develop and deploy modules for testing and validating multiple scenarios to evaluate the impact of various fulfillment strategies.
- Adopt modular architecture and good solution development practices to enhance the overall product performance and guide other team members.
- Produce clean, efficient code based on specifications.
- Coordinate the analysis, troubleshooting and resolution of issues in the models and software.

About You:

- Bachelor s/MS/PhD in Mathematics, Statistics, Operations Research, Industrial Engineering, Physics, Computer Science, or other related fields.
- 3-4+ years of relevant experience in data sciences; experience with

supply chain or

e-commerce order fulfillment is preferred.
- Excellent working knowledge of

mathematical and

statistical concepts,

operations research,

data structures and algorithms, data analysis, visualizations, and applications of the same in a variety of business problems.
- Good working knowledge of machine learning, probability estimation methods, linear programming (integer, real and mixed integer), and their applications in industry settings
- Strong analytical thinking and data visualization skills. Ability to creatively solve business problems, innovating new approaches where required.
- Ability to clean, transform, manipulate, and analyze large datasets for insights leading to business process improvements or solution development. Background in handling supply chain data will be preferable but not mandatory.
- Experience developing, testing, and maintaining large codebases in a collaborative environment.
- while meeting industry best practices.
- Highly proficient in programming skills in Python, SQL, Hadoop/Hive, Spark.
- Experience deploying solutions with large-scale business impact in commercial setting is a plus.
- Self-driven and results oriented. Willing to stretch to meet tight timelines.
- Strong team player with ability to collaborate effectively across geographies/ time zones.
- Excellent written and verbal communication skills

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