Primary responsibilities
 Develop a strong understanding of Target supply chain and logistics data and work on analytical projects supporting
first, middle and last mile delivery. The role involves working closely with clients and internal teams to deliver high
quality, end-to-end analytical solutions that create strong business impact.
 Work hands on and actively partner across the team – defining business problem, data discovery to insights/predictions
 Understand the business problem, identify the key challenges, formalize the problem algorithmically, and prototype
solutions
 Anticipate and Evaluate impact of analytical solutions on related projects as part of the developing complex analytical
algorithm/solutions for various business problems
 Work with data engineers on data quality assessment, data cleansing and data analytics.
 Perform exploratory and targeted data analyses using descriptive statistics and other methods

Ability to develop and deploy scalable and reproducible analytical models for answering variety of business problems
 Build self-service tools for error detection, diagnosis and predictive metrics.
 Work on developing optimization/statistical/Discrete event simulation models to answer problems for replenishment,
inventory positioning/planning, product flow etc
 Ability to test and analyze the prototype results on Target data, actively engage with business partners to identify
improvement areas and implement enhancements based on statistical analysis and business logic
 Generate analyses, annotated code, and other project artefacts to document, archive, and communicate work and
outcomes.

Qualifications
 Master’s degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience
from a reputed tier 1 education institutes like IITs, ISI, IISc etc.
 5-8 years of relevant experience
 Good Knowledge and experience developing optimization, simulation and statistical models,
 Strong analytical thinking skills. Ability to creatively solve business problems, innovating new approaches where
required.
 Background in supply chain will be preferable but not mandatory
 Strong hands on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java
desired but not mandatory
 Good working Knowledge of Mathematical and statistical concepts, MILP, algorithms and computational complexity,
data analysis, data mining, forecasting/predictive modeling, simulations, visualizations, machine learning, etc.
 Passion for solving interesting and relevant real-world problems using Data science approach
 Experience in implementing advanced statistical techniques like regression, clustering, PCA, forecasting (time series)
etc.
 Able to produce reasonable documents/narrative suggesting actionable insights
 Excellent communication skills
 Self-driven and results oriented. Willing to stretch to meet tight timelines.
 Strong team player with ability to collaborate effectively across geographies/ time zones

More details

Sr. Data Scientist at TARGET