Data Scientist

Posted Yesterday
Be an Early Applicant
3 Locations
Entry level
eCommerce • Other • Retail
The Role
As a Data Scientist, you will develop predictive algorithms, perform data exploration, implement algorithmic solutions, and adhere to best practices in model development. You'll work with programming languages, collaborate with peers, and influence business outcomes through data analytics and statistical methods.
Summary Generated by Built In

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 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.
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.

Team Overview
A role with Target Data Sciences 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 Marketing, Supply Chain Optimization, Network Security and Personalization rely on.

Every Scientist on Target’s Data Sciences team can expect modelling and data science, software/product development of highly performant code for Model Performance, to elevate Target’s culture, and apply retail domain knowledge.

Position Overview

As a Data Scientist, you’ll Influence by interacting within the Data Sciences team, perform within the scale and scope of your role by implementing solutions, and contribute to Data Sciences’ and Target’s culture by modeling the culture. Through your understanding of the foundations and working principles of machine learning algorithms, linear algebra, probability theory, statistics, and optimization theory, you will perform data exploration and analysis (look at distributions, find anomalies, create simple visualizations, etc.) and implement algorithmic solution given specifications, while adhering to best practices in model development. We will look to you to understand and actively follow foundational programming principles (best practices, know about unit tests, code organization, basics of CI/CD etc.) and create a well-maintainable & tested codebase with relevant documentation. You will get the opportunity to develop in one or more approved programming languages (Java, Scala, Python, R), and learn and adhere to best practices in data analysis and data understanding.

As you follow agile processes, you will implement prototypes for individual components of software or data science solutions and understand and leverage basic data structures and algorithms in implementing solutions. Leverage your high-level understanding in business domain to gain knowledge of high-level Target business priorities, strategic goals and their impact, as well as details of the specific business sub-problem you are focused on. You will collaborate with peers on their product and document and present work to peers and participate in code reviews and gain broader understanding of different components within the application. 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) or equivalent experience

  • Solid foundations in math and programming

  • Strong fundamentals in Probability, Statistics, Linear Algebra

  • Good knowledge of at least one of the following domains: Statistical learning, optimization, simulation, NLP, Time series analysis

  • Strong analytical thinking skills with an bility to creatively solve business problems, innovating new approaches where required

  • Strong hands-on programming skills in Python, SQL, Hadoop/Hive

  • 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 and ability to clearly tell data driven stories through appropriate visualizations, graphs and narratives

  • Self-driven and results oriented

  • 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

Java
Python
R
Scala
The Company
HQ: Minneapolis, MN
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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