Senior Data Scientist

The pay range is: $96,283.00 - $165,600.00 per year
In addition to your salary, 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 https://corporate.target.com/careers/benefits.
EMPLOYER: Target Enterprise, Inc.
JOB POSITION: Senior Data Scientist
LOCATION: 7000 Target Parkway N, Brooklyn Park, MN 55445
DUTIES: Code for scalable time series forecasting; schedule and monitor workflows; query and analyze relational databases; apply software development principles; influence by interacting within the Data Sciences team and with Product teams, perform within the scale and scope of role by implementing solutions, and contribute to Data Sciences' and Target's culture by modeling the culture; through understanding of the foundations and working principles of machine learning algorithms, linear algebra, probability theory, statistics, and optimization theory, 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; understand and actively follow foundational programming principles (best practices, know about unit tests, code organization, basics of CI/CD) and create a well-maintainable and tested codebase with relevant documentation; learn and adhere to best practices in data analysis and data understanding; implement prototypes for individual components of software or data science solutions and understand and leverage basic data structures and algorithms in implementing solutions; evaluate multiple specified techniques for a defined problem and determine the most appropriate option from a performance perspective; leverage 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 focused on; and collaborate with peers on 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. Tools/technologies used: Scala, Spark, Spark SQL, Shell script, Apache Oozie, Apache Hive, Python, R, and Git. May telecommute from any location in the U.S.
REQUIREMENTS: This position requires a Master's degree in Data Science, Mathematics, or a closely related field, and at least two (2) years of experience in mathematics (any title) working on programming concepts using MATLAB, pair programming, and creating interactive visualizations/simulations, and at least six (6) months of experience developing end-to-end algorithms/models for time series forecasting, querying and analyzing data, applying high performance computing techniques such as MPI (Message Passing Interface) and Slurm, creating tools for Big Data analysis, adapting data assimilation techniques, model forecasting, validating performance, setting up data pipelines, and using Git, Python, and command line tools. May telecommute from any location in the U.S.
APPLY ONLINE at jobs.target.com, Job ID: R0000323300
or
SEND RESUME to: Target.Recruitment@Target.com and reference R0000323300
Americans with Disabilities Act (ADA)
Target will provide reasonable accommodations with the application process upon your request as required to comply with applicable laws. If you have a disability and require assistance in this application process, please visit your nearest Target store or Supply Chain Facility or reach out to Guest Services at 1-800-440-0680 for additional information.