As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers.
Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful.
Overview about TII
At Target, we have a timeless purpose and a proven strategy. And that hasn't happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target's global team and has more than 4,000 team members supporting the company's global strategy and operations.
Pyramid overview
A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you'll be challenged to harness Target's impressive data breadth to build the algorithms that power solutions our partners in in Marketing, Supply Chain Optimization, Network Security and Personalization rely on
Every Scientist on Target's Data Sciences team can expect modeling and data science, software/product development of highly performant code for Model Performance, and to elevate Target's culture and apply retail domain knowledge.
Position Overview:
As a Senior Data Scientist, you will be involved in
end-to-end development of Ad-Tech products
and capabilities that fulfil strategic priorities and power growth of Roundel, Target's Retail media business. You will leverage understanding of data and algorithms to build prototypes and run experiments to evaluate them against given specifications. As you follow agile processes, you will implement and
deploy a scalable data science solution by using MLOps best practices
across model development life cycle. You will collaborate with product and business partners to seek feedback on effectiveness of solution and identify future opportunities for enhancements. You will work with your peers to create a well-maintainable & tested codebase with relevant documentation. The exciting part of retail and media? It's always changing! Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.
About You:
4-year degree in Quantitative disciplines
(Science, Technology, Engineering, Mathematics) or equivalent experience
3+ years of professional experience
or equivalent industry 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
Strong hands-on programming skills
in Python, SQL, Spark, Hadoop/Hive
.
Good working knowledge of
mathematical and statistical
concepts, MILP, algorithms and computational complexity
Passion for solving interesting and relevant real-world problems using a data science approach
Experience in implementing
advanced statistical techniques
like r
egression, clustering, PCA, forecasting (time series) etc.
Able to produce reasonable documents/narrative suggesting actionable insights
Excellent communication skills. Ability to clearly tell data driven stories through appropriate visualizations, graphs and narratives
Self-driven and results oriented; able to meet tight timelines
Strong team player with ability to collaborate effectively across geographies/time zones