3 Days Left: Senior Data Scientist- Pricing
3 weeks 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.
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.
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.
Overview about Target in In
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.
Every Scientist on Target’s Data Sciences team can expect modeling and data science, software/product development of highly performant code for Model Performance, to elevate Target’s culture, and apply retail domain knowledge.
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.
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
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, 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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