Target

Sr Data Scientist - Experimentation (A/B Testing and Statistical Modeling)

Brooklyn Park, MN US
USD 93k - 168k
Scala Machine Learning Python SQL Hadoop Spark
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Description
The pay range is $93,800.00 - $168,800.00

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 https://corporate.target.com/careers/benefits.

JOIN US AS A SR DATA SCIENTIST – EXPERIMENTATION (A/B TESTING)

  

About Us:  

Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here. 

 

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, Search and Personalization rely on. 

Every scientist on Target’s Data Sciences team can expect to do modeling and data science, develop software/product with highly performant code, elevate Target’s culture, and apply retail domain knowledge. 

 

As a Sr Data Scientist, you’ll join a Data Science team responsible for building and enhancing Target’s digital testing capabilities. Working closely with product engineers and business partners, you’ll develop statistically rigorous new features for our existing in-house A/B testing platform with the goal of accelerating the scaling of digital testing across the enterprise by introducing methodologies such as sequential testing, collision and overlap notification, significance testing, sampling techniques, and multi-arm bandits. Given the dramatic scale of digital traffic and rapid changes to our web and mobile applications, you will need to embrace, implement, and advocate for expansive digital tagging and a culture of continuous testing with technical and non-technical partners throughout the enterprise. We will expect you to understand Agile principles, follow best-practice software design, participate in code reviews, and create a maintainable and well-tested codebase with relevant documentation. 

 

Core responsibilities of this job are articulated 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 with A/B testing campaigns in digital or mobile products
  • Extensive hands-on programming skills in Python with knowledge of SQL, Hadoop/Hive, Spark, and/or Scala a plus
  • Excellent knowledge of mathematical and statistical concepts, algorithms and computational complexity  
  • Strong analytical thinking and problem-solving skills: develop creative/innovative solution to help solve real-world business problems using data sciences approaches 
  • Able to create documents and narrative suggesting actionable insights   
  • Excellent communication skills - able to clearly tell data driven stories through appropriate visualizations, graphs and narratives  
  • Self-driven and results oriented; able to meet tight timelines  
  • Team player with ability to collaborate effectively across geographies 

 

Preferred: 

  

  • PhD or MS in a quantitative field 
  • Experience with implementing A/B testing programs at scale  
  • Demonstrated experience building enterprise products 

  

This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target’s needs. A Hybrid/Flex for Your Day work arrangement means the team member’s core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota. 

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.

Application deadline is : 04/28/2024

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