Lead Data Scientist - Experimentation (A/B Testing, Stats Modeling)

at  Target

Minneapolis, MN 55445, USA -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate25 Jul, 2024USD 227900 Annual29 Jun, 20245 year(s) or aboveGood communication skillsNoNo
Add to Wishlist Apply All Jobs
Required Visa Status:
CitizenGC
US CitizenStudent Visa
H1BCPT
OPTH4 Spouse of H1B
GC Green Card
Employment Type:
Full TimePart Time
PermanentIndependent - 1099
Contract – W2C2H Independent
C2H W2Contract – Corp 2 Corp
Contract to Hire – Corp 2 Corp

Description:

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

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 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.

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 : 07/25/202

Responsibilities:

Please refer the Job description for details


REQUIREMENT SUMMARY

Min:5.0Max:10.0 year(s)

Information Technology/IT

IT Software - Application Programming / Maintenance

Software Engineering

MSc

Proficient

1

Minneapolis, MN 55445, USA