Sr Data Scientist- Merchandising Tower 02, Manyata Embassy Business Park India
7 days ago
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. 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.
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 backgrounds. We believe your unique perspective is important, and you'll build relationships by being authentic and respectful. At Target, inclusion is part of the core value. We aim to create equitable experiences for all, regardless of their dimensions of difference. As an equal opportunity employer, Target provides diverse opportunities for everyone to grow and win
Pyramid Overview:
As a Senior Data Scientist, you will influence by interacting within the Data Sciences team and with Product teams, 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.
Team Overview
Pricing & Promotion Center of Excellence Target Merchandising is evolving at an incredible pace. We are constantly reimagining how this $70 billion retailer offers the innovative, guest-inspiring items that Target is known and loved for. Our goal is to deliver exceptional value, quality and style to elevate Target as the premier retailer in a competitive global marketplace. Through intelligent and progressive business strategies that make the most of Target’s resources and partnerships worldwide, Merchandising works across product categories to create a localized shopping experience online and in our 1800 stores. Are you a creative problem solver who loves to see your work translate into real results? Can you collaborate effectively, execute a plan efficiently and positively influence how Target chooses and presents the right product in the right place at the right price? If so, you will have success on one of our dynamic teams.
A role with the Pricing & Promotion Center of Excellence (COE) means you’re on a mission with merchants to develop the enterprise-wide pricing and promotion strategies. Your work will impact millions of dollars in the form of everyday retail prices, promotional strategy and effectiveness, clearance management and competitive pricing. Here, you’ll be a key business consultant to merchants and develop relationships with buyers, senior buyers and leaders. Your strong partnership with Marketing will bring offers to life for guests, and you’ll also work closely with Store Operations, Finance and other key support areas.
Role overview
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. You will evaluate multiple specified techniques for a defined problem and determine the most appropriate option from a performance perspective.
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 provide technical support, 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
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, 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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