Lead Data Scientist-AdTech
Lead Data Scientist-AdTech
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Job Description
About us:
As a Fortune 50 company with more than 400000 team members worldwide Target is an iconic brand and one of Americas 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 youll build relationships by being authentic and respectful.
Overview about TII
At Target we have a timeless purpose and a proven strategy. And that hasnt 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 Targets global team and has more than 4000 team members supporting the companys 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 youll be challenged to harness Targets 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 Targets Data Sciences team can expect modeling and data science software/product development of highly performant code for Model Performance and to elevate Targets culture and apply retail domain knowledge.
About the role
As aLead Data Scientist youll 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 Targets culture by modeling and contributing to the culture. Youll 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.
Youll 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. Youll 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. Youll 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 teams products/models.
Youll 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 youll collaborate with engineers scientists and business partners/product owners to create algorithmic solutions that are performant and integrated into applications. Well look to you to mentor and provide technical support within a team including mentoring junior team members and present your work and your teams work to business partners and other Data Sciences teams. With a deeper understanding of your functional area of responsibility youll 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 Its always changing!
Core responsibilities of this job are described within this 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
Masters 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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Employment Type
Full-Time
Key Skills
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