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Target · 2 weeks ago

Lead Data Scientist - Last Mile Supply Chain Optimization(Remote Or Hybrid)

Sunnyvale, CA

Full-time

Hybrid

Senior Level, Lead/Staff

$128K/yr - $277K/yr

5+ years exp

Target is a company focused on helping families discover the joy of everyday life. They are seeking a Lead Data Scientist to develop and manage predictive and prescriptive algorithms for optimizing supply chain decisions. This role involves leveraging data to drive business performance and enhance the guest experience in Last Mile Delivery.

CommunitiesE-CommerceRetailShopping

H1B Sponsor Likely

Responsibilities

Serve as an advocate of our data-driven culture across Product, Business Ops and Engineering to help them utilize insights that’ll direct their efforts towards initiatives with highest impacts

You have a strong knowledge of supply chain optimization including the impact of inventory placement on, transportation, sourcing, distribution, fulfillment, and planning

Execute solutions to business problems using data analysis, data mining, forecasting, optimization tools, and machine learning techniques and statistics

Formulate precise problem statements, synthesize analysis and results in compelling storylines and communicate to key stakeholders. You should have the ability to tell a story around the problem, the solution and the impact and value of implementing a solution

Analyze and explore data in our ecosystem, work with the product manager to design in-product experiments, analyze the results, and provide strategic recommendations

Partner closely with our Product Owners and/or business partners to identify gaps in product offering by conducting comprehensive data analysis, and accelerating the analytics maturity (predictive and prescriptive) in key product areas

Define data to be collected for measuring the success of new product features or business strategies, define KPIs, and work with engineering and across functional teams on tracking and instrumentation of data

Strive for query optimization problems on large data sets that will be leveraged by operations research, business owners, and other stakeholders

Design and build self-service dashboards using a mixture of analytical and visualization techniques to derive actionable insight from data to influences business decisions

Democratize data and insights as you strive to deliver self-service tools to your partners and enable them to make better decisions quicker

Qualification

Supply Chain OptimizationMachine LearningData AnalysisPythonSQL/HiveStatistical TechniquesData VisualizationCommunicationCollaborative Team PlayerSelf-driven

Required

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

Medical

Vision

Dental

Life insurance

401(k)

Employee discount

Short term disability

Long term disability

Paid sick leave

Paid national holidays

Paid vacation

Company

Target

Glassdoor3.5

Target is a retailing company providing access to a wide selection of products such as furniture, electronics, toys, and others.

Founded in 1962

Minneapolis, Minnesota, USA

10001+ employees

https://www.target.com

H1B Sponsorship

Target has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2023 (1)

2022 (2)