Lead Data Scientist - Experimentation (A/B Testing, Stats Modeling) 7000 Target Pkwy N Brooklyn Park, Minnesota

The pay range is $126,600.00 - $227,900.00

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 LEAD DATA SCIENTIST EXPERIMENTATION

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. .

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 Lead Data Scientist - Experimentation, you’ll join a Data Science team responsible for enhancing Target’s digital testing capabilities.

Working closely with product engineers and business partners, you’ll incorporate statistically rigorous features into our existing in-house A / B testing platform to accelerate the scale of digital testing across the enterprise;

such features could include tools 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 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, Tech, Engineering, Mathematics, Statistics)
• 5+ years of professional experience or equivalent industry experience
• Demonstrated experience guiding the implementation of Digital / Web A / B testing program at scale
• Strong analytical thinking skills. Ability to creatively solve business problems, innovating new approaches where required
• Demonstrated hands-on programming skills in Python, SQL, Hadoop, Hive. Additional knowledge of Spark, Scala desired
• Exceptional knowledge of mathematical and statistical modeling, sampling, bandits, and significance testing
• Experience in implementing advanced statistical techniques like regression, clustering, PCA, forecasting (time series), etc.
• Able to create 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
• Motivated, team player with ability to collaborate effectively across geographies

Preferred :

• PhD or MS in a quantitative field
• Experience implementing multi-arm or contextual bandit algorithms
• Demonstrated experience building enterprise scale products

Americans with Disabilities Act (ADA)

Application deadline is : 07 / 25 / 2024