Sr Data Scientist - Tech; Applied ML, Recommender Systems, Reinforcement Learning

Sr Data Scientist - Mar Tech (Applied ML, Recommender Systems, Reinforcement Learning) page is loaded## Sr Data Scientist - Mar Tech (Applied ML, Recommender Systems, Reinforcement Learning) locations:
7000 Target Pkwy N,NCD-0375 Brooklyn Park,MN 55445time type:
Full time posted on:
Posted Yesterday job requisition :
RThe pay range is $98,000.00 - $Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves.

Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation.

Find competitive benefits from financial and education to well-being and beyond at .
** JOIN TARGET AS A SR DATA SCIENTIST - MAR TECH
** Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. .A role with

Target

Data Sciences means the chance to help develop and manage state of the art predictivealgorithmsthatuse data at scale to automate and optimize decisions ther you join our Data Sciences 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, Demand Forecasting, Search 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 to elevate Target’s culture, and apply retail domain knowledge.

The Mar Tech Data Science teams are building the foundational, guest-centric Science products that power Target's Guest Messaging Platform. We are core partners for identifying Science and Technology capabilities that shape the product strategies. As a Sr Data Scientist on this team, you will have the opportunity to develop AI models and integrate them into our messaging platform to orchestrate customized, timely, and relevant messages for our guests.

We promote innovative thinking within the ambiguous environment of this emerging capability and utilizing cutting-edge machine learning algorithms and GenAI techniques to improve our Guest Messaging Platform at Target!

As a Sr 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 (Python, Scala, 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…