Data Scientist working with data analytics to drive efficiency improvements in the energy sector. Collaborate with teams to build and deploy models for actionable insights.
About the role
- Lead Data Scientist at Target developing predictive and prescriptive algorithms for supply chain optimization. Collaborating across teams to foster data-driven decision-making while ensuring continuous innovation.
Responsibilities
- Develop and manage state of the art predictive and prescriptive algorithms to automate and optimize decisions at scale
- Write high-performant, scalable code and design analytical solutions to extract insights and prescribe best courses of action
- Accelerate omni-channel experimentation to foster a culture of continuous innovation at Target
- Advocate for a data-driven culture across Product, Business Ops and Engineering
- Execute solutions to business problems using data analysis, data mining, forecasting, optimization tools, and machine learning techniques
- Analyze and explore data, design in-product experiments, analyze results, and provide strategic recommendations
- Partner with Product Owners and business partners to identify gaps in product offerings through comprehensive data analysis
- Define data for measuring success of new product features or business strategies and work on KPI tracking
- Strive for query optimization on large data sets used by operations research and stakeholders
- Design and build self-service dashboards using analytical and visualization techniques to derive actionable insights from data
Requirements
- PhD/MS in Operations Research, Industrial Engineering, Computer Science, Mathematics, Statistics, Physics or related quantitative field
- 5+ years of experience leading large-scale implementations of supply chain optimization, simulation and machine learning modeling end to end
- Demonstrated proficiency in one or more programming languages: Python, R, Kotlin or Java
- Demonstrated experience writing highly performant code and deploying algorithms in a production environment
- Proficient in predictive/prescriptive algorithms and ML Ops
- Experience working with large event-driven distributed systems and multi-threaded applications
- Experience in application/software architecture (definition, process modeling, etc.)
- Experience writing production datasets in SQL/Hive or building internal/production data tools for research or experimentation in a scripting language like Python
- Passion for solving relevant real-world problems using a data science approach
- Experience in implementing advanced statistical techniques like regression, clustering, PCA, forecasting (time series), etc.
- Experience producing reasonable documents/narratives suggesting actionable insights
- Excellent communication skills with an ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives
- Self-driven and results oriented; able to meet tight timelines
- Collaborative team player with ability to partner effectively across time zones.
Benefits
- Comprehensive health benefits and programs including medical, vision, dental, and life insurance
- 401(k)
- Employee discount
- Short term disability
- Long term disability
- Paid sick leave
- Paid national holidays
- Paid vacation
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