Job description
Position Overview:
In this role as a Senior Data Scientist, you will:
- Develop a strong understanding of business and operational processes within Targets Supply chain.
- Develop an in-depth understanding of the various systems and processes that influence Digital order fulfillment speed & costs.
- Develop and deploy scalable and reproducible data science models for answering variety of business problems
- Work hands on and actively partner across the team defining business problem, formalize the problem algorithmically, data discovery to insights/predictions and prototype solutions
- Analyze data to identify and propose feature enhancements. Design and implement features to improve scope of the product.
- Develop machine learning, optimization/statistical/Discrete event simulation models to solve problems in promise, allocation and digital fulfilment on large data
- Integrate models into production code base with robust test coverage
- Adopt modular architecture and good software development/engineering practices to enhance the overall product performance
- Produce clean, efficient code based on specifications
- Coordinate the analysis, troubleshooting and resolution of issues in the models and software
- Generate analyses and other project artefacts to document, archive, and communicate work and outcomes
- Build self-service tools for error detection, diagnosis and predictive metrics.
About You:
- Bachelors/MS/PhD in Mathematics, Statistics, Operations Research, Industrial Engineering, Physics, Computer Science or other related fields
- 3+ years of relevant experience
- Background in supply chain will be preferable but not mandatory
- Experience in delivering quick POCs with iterative improvement in product outcomes
- Strong analytical thinking and data visualization skills. Ability to creatively solve business problems, innovating new approaches where required
- Hands-on experience in deploying ML models with large-scale impact in commercial setting using standard ML Ops framework and tools
- Good understanding of data structures and algorithms
- Highly proficient in programming skills in Python, SQL, Hadoop/Hive, Spark. Additional knowledge of Scala, R, Java desired but not mandatory
- Extensive experience in developing, refining, validating, deploying ML models to deliver measurable business outcomes
- Good working knowledge of mathematical and statistical concepts, MILP, optimization, algorithms and computational complexity, data analysis, data mining, forecasting/predictive modeling, simulations, visualizations, and application of same in a variety of business problems
- Excellent written and verbal communication skills
- Able to produce reasonable documents/narrative suggesting actionable insights and recommendations
- Passion for solving interesting and relevant real-world problems using Data science approach
- Self-driven and results oriented. Willing to stretch to meet tight timelines.
- Strong team player with ability to collaborate effectively across geographies/ time zones.
- Ability to think quick and structure conversations in group setting
