Sr Data Scientist- AdTech

Bengaluru - India

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

About us:

As a Fortune 50 company with more than 400000 team members worldwide Target is an iconic brand and one of Americas 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 youll build relationships by being authentic and respectful.

Overview about TII

At Target we have a timeless purpose and a proven strategy. And that hasnt 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 Targets global team and has more than 4000 team members supporting the companys 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 youll be challenged to harness Targets 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 Targets Data Sciences team can expect modeling and data science software/product development of highly performant code for Model Performance and to elevate Targets 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 Targets 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 Its 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 regression 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

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Life at Target- Experience:
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