Lead Data Scientist-AdTech

About us:

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.

Team Overview

Target Data Sciences is offering an exciting opportunity to solve state of the art problems in AdTech. Target's Roundel group is emerging as one of the biggest RMN players in US ad-tech ecosystem. As we develop the capabilities of our tech ecosystem, we are looking for driven and passionate individuals with deep AdTech science and engineering experience who can make a change in AdTech development. If you are that person, you can expect to be involved in:

• Defining, developing and integrating modules for algorithmic decision making with the ad serving tech platform

• Influencing roadmaps and driving its execution with a team of talented scientists

• Developing a multi-year vision of embedding science with adtech platform and collaborating with engineers and science team to bring it to life

Preferred domain experience:

Creating tech led solutions in advertising, customer relevancy models, bidding strategy, click through rate modelling, etc.

About the role

As a Lead Data Scientist, you'll influence by interacting with the Data Sciences team, Product teams, Scientist/Engineer individual contributors from other pillars, and business partners. You will perform within the scale and scope of your role by defining solutions and beginning to identify problems to solve and contribute to Data Sciences' and Target's culture by modeling and contributing to the culture. You'll get the opportunity to use your expertise in one or more of the following areas: machine learning, probability theory & statistics, optimization theory, Simulation, Econometrics, Deep Learning, Natural Language processing or computer vision. We will look to you to own design and implementation of an algorithmic solution (e.g., recommendation or forecasting algorithm), including data understanding, feature engineering, model development, validation and testing, and deployment to a production environment.

You'll drive development of problem statements that capture the business considerations, define metrics/measurement to validate model performance, and drive feasibility study with data requirements and potential solutions approaches to be considered. You'll evaluate tradeoffs of simple vs complex models/solutions in determining the right technique to employ for a business problem and develop and maintain a nuanced understanding of the data generated by the business, including fundamental limitations of the data. You'll leverage your proficiency in one or more approved programming languages (Java, Scala, Python, R), and ensure foundational programming principles in developing code (best practices, writes unit tests, code organization, basics of CI/CD etc.) are followed in developing the team's products/models.

You'll not only stitch together basic data pipelines for a given problem and own design and implementation of individual components within Data Science/Tech applications, but also articulate the technical strategy, value of technology, and impact on the business. As you do so, you'll collaborate with engineers, scientists, and business partners/product owners to create algorithmic solutions that are performant and integrated into applications. We'll look to you to mentor and provide technical support within a team, including mentoring junior team members, and present your work and your team's work to business partners and other Data Sciences teams. With a deeper understanding of your functional area of responsibility, you'll support agile ceremonies, collaborate with peers across multiple products, communicate and collaborate with business partners, and demonstrate an understanding of areas outside your scope of responsibility. The exciting part of retail? 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) 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

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