JOB RESPOSIBILITIES:
Understanding business objectives and developing models that help to achieve them, along
with metrics to track their progress
Analyzing the Data Science algorithms that could be used to solve a given problem and
ranking them by their success probability
Developing robust solutions for logistics for vehicle routing, scheduling, planning, demand
forecasting, workforce management, network design & optimization, etc.
Develop solutions based on advanced statistical modeling, simulations, optimization
algorithms, etc. to help decision makers take complex business decisions in various
business scenarios
Lead/ collaborate with a team of data scientists in developing and delivering machine
learning models for production setting
Understand key business processes, operational constraints, critical bottlenecks and
metrics to optimize at a detailed level
Improve key organizational metrics through developing data-science based solutions
Perform data wrangling and due diligence activities on data quality
Performing Exploratory Data Analysis (EDA), defining the preprocessing or feature
engineering to be done on a given dataset, developing Machine Learning models, validating
models, deployment, etc.
Collaborate with the application development team for deploying the data science solutions
Proactively drive impact to business by owning the data science initiatives end-to-end and
collaborating with other stakeholders
Collaborate with the Operations, Network, Control Tower and Business Analysis team to
develop cutting edge analytics solutions that improve the business
Maintain thorough and comprehensive documentation of data science initiatives
Develop robust work products by following best practices through all stages of
development, testing & deployment
ELIGIBILITY:
BE/Tech in Engineering, MBA/Masters/PhD candidates preferred
Strong background in strong in Statistics, Supply Chain and Operations Research concepts
Domain experience in working on logistics, supply chain or operations research areas
would be preferred
Experience in solving complex & large scale problems such as linear, non-linear
programming, mixed integer optimization, etc.
Ability to independently and proactively drive initiatives with minimal supervision
Strong working knowledge of solvers such as CPLEX, GUROBI, LINDO, etc.
Proficient in Python & R, with sound knowledge of OOPS concepts
Expertise in Optimization, Simulations, Queuing Theory, Game Theory, Forecasting
Techniques, etc.
Familiarity with statistical modeling, machine-learning approaches & deep-learning
Experience in using Big Data platforms, Spark & Hadoop platform would be preferred
Excellent communication skills and ability to effectively manage stakeholders
Experience with working on a variety of Logistics, Supply Chain or Operations research
use-cases in Ecommerce
Excellent understanding of statistics, probability, linear algebra and other mathematical
concepts that supports modern ML and Optimization techniques
Familiarity with data visualization tools