Lead Data Scientist- AdTech

Posted 6 Days Ago
Be an Early Applicant
3 Locations
5-7 Years Experience
eCommerce • Other • Retail
The Role
Lead Data Scientist role at Target, responsible for developing and managing predictive algorithms using data at scale to automate and optimize decisions. Focus on leveraging data to distill insights that influence clients and deliver profitable financial results.
Summary Generated by Built In

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 diverse 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 diverse 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

Target Marketing—Roundel Fueling the continued success of one of the world’s most beloved and recognized brands is a distinctly capable, creative and innovative Marketing organization. Target Marketing is well known for inspiring and surprising guests, and we pride ourselves on connecting them to the products and experiences they expect and deserve from Target. We study our guests to discover new needs and insights, and then craft every interaction to build brand love. We are market experts who insist on a clear and cohesive understanding of our business objectives, guest segments and behaviors, strategies and tactics, overcoming obstacles and measuring success. Our commitment to partnering both internally and with external agencies gives us a wide range of capabilities, from award-winning creative work to exciting and unique promotional marketing. Leveraging our collective assets and fostering a healthy, supportive and open team culture, we deliver a holistically gratifying experience that guests can only get at Target.

A role with Roundel is an opportunity to represent the company in the sales of digital media, advertising and custom marketing campaign solutions to the national media and advertising agency market. You’ll develop and present market-leading media strategies and smart solutions that exceed our clients’ needs—all with a focus on delivering on Target’s unmatched brand promise. Your challenge will be to lead the RFP process including reviewing responses, writing proposals, coordinating insertion orders and managing client contact reports. Use your strong communication skills and digital media experience to tell the story of Target’s key differentiators in the media and ad markets. Apply your proven success in leveraging data to distill the relevant insights that influence clients. Bring your passion for this rapidly evolving environment and have a hand in delivering the profitable financial results that benefit the entire business

Team 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

About you:

  • 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) and 6+ years of professional experience or equivalent industry experience

  • Master’s degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics)

  • 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, 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

  • 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

Useful Links-

Life at Target- https://india.target.com/

Benefits- https://india.target.com/life-at-target/workplace/benefits

Culture- https://india.target.com/life-at-target/diversity-and-inclusion

Top Skills

Python
The Company
Bengaluru, Karnataka
172,344 Employees
On-site Workplace

What We Do

Target is an American retailing company providing access to a wide selection of products such as furniture, electronics, toys, and more.

Target is one of the world’s most recognized brands and one of America’s leading retailers. We make Target our guests’ preferred shopping destination by offering outstanding value, inspiration, innovation and an exceptional guest experience that no other retailer can deliver. Target is committed to responsible corporate citizenship, ethical business practices, environmental stewardship and generous community support. Since 1946, we have given 5 percent of our profits back to our communities. Our goal is to work as one team to fulfill our unique brand promise to our guests, wherever and whenever they choose to shop.

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