Job Description
About the role:
Target Data Sciences is offering an exciting opportunity to solve state of the art problems in retail. The opportunity will allow you to analyse large and varied data sets, build models on transactional behaviour and write algorithms to improve guest (customer) experience. In this role, you will have access to the best tech stack in retail along with working with a set of passionate co-workers committed to creating next gen Marketing capabilities. You can expect to be involved in:
- Framing business problems in precise mathematical terms with testable hypotheses
- Formulating statistical, machine learning or mathematical solutions to test and optimize automated solutions to business problems
- Deploying algorithms and solutions in open-source platform
- Working with a talented team of marketeers and collaborating with scientists
Example problem statements:
- Determine a set of optimal tactics to create media plan and manage inflight campaign performance
- Given digital ad variations how do we optimize ad impressions
- How do we set prices for digital product ad slots to achieve higher revenue
- How to systematically scale and automate such decisions impacting millions of guests
Expected skills:
- Ability to frame up solutions, advocate for methods to use
- Ability to write modular code and data pipelines which can be automated and scaled
- Great communication skills and experience in working with clients
- Good programming skills in Python/ Scala/ Java
- Knowledge in statistics/ ML / mathematics
- Ability to work with a team(s) to drive the work in a collaborative environment
- Preferred Educational background:
- Computer Science graduates from reputed engineering institutes with 3+ years of experience
- MTech or MS (Statistics, Economics) with relevant data experience of 2+ years
- PhD with relevant experience of 1+ years
- Preferred domain experience: in enabling data driven solutions in marketing, marketing campaign management, measuring RoI on customer marketing campaigns, customer personalisation, behavioural models.
Why work with us at Target
- We love open source
- We own years of transactional, guest, financial, inventory, many other operational datasets
- We offer top class growth and wellness structures
- We believe in continuous learning (50 days of learning with a variety of proprietary platforms!)
- Formal big box and online retailing industry is growing fast and poised to grow further
Company Info.
Target
Target Corporation is an American retail corporation. The eighth-largest retailer in the United States, it is a component of the S&P 500 Index.
Target established itself as the discount division of the Dayton's Company of Minneapolis, Minnesota, in 1962; it began expanding the store nationwide in the 1980s (as part of the Dayton-Hudson Corporation), and introduced new store formats under the Target brand in the 1990s. The company has found suc