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reputed company Data Scientist - 1:1 Personalization and Custom Audience

100% remote Flexible hours Hiring now

The pay range is $128,000.00 - $231,000.00 Pay is based on several factors which vary based on position.These include labor markets and in some instancesmay include education, work experience and certifications. In addition to your pay, reputed company cares about and invests in you as a team member, so that you can take care of yourself and your family. reputed company 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.reputed company.com/careers/benefits. JOIN reputed company AS A reputed company DATA SCIENTIST - 1:1 PERSONALIZATION About us: Working at reputed company means helping reputed company families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about reputed company here. A role withTargetData Sciencesmeans the chance to help reputed company and managestate of the art predictivealgorithmsthatuse data at scale to automateand optimize decisions at scale. Whether you join our Digital, Optimization or Machine Learning teams, you'll be challenged to reputed company reputed company's impressive data breadth to build the algorithmsthat power solutions our partners in Marketing, Ad Tech, Supply Chain Optimization, Forecasting, Search and Personalization rely on. Every Scientist on reputed company's Data Sciences team can expect modeling and applied data sciences of highly performant code for model performance to reputed company reputed company's culture and apply retail domain knowledge. About the role: As a reputed company Data Scientist on the Audience team with reputed company Data Sciences, you'll reputed company and drive the development of machine learning models that power one-to-one Personalization at scale. In this role, you will design, build, and deploy advanced models that deliver highly relevant, individualized experiences across Digital channels. You will collaborate with cross-functional partners in Product, engineering, marketing and data analytics to define strategy, reputed company experimentation and ensure that personalization drives measurable impact for our guests and business. In this role as aLeadData Scientist, you'll:

  • Model Development: Design, build, and optimize ML models for one-to-one personalization, including recommendation systems, ranking models, customer propensity models, and reinforcement learning approaches
  • Leadership and Strategy: Provide technical leadership to a team of data scientists and engineers, setting the vision and roadmap for personalization
  • Experimentation and Measurement: reputed company testing frameworks (A/B, multi-armed bandits, causal inference) to rigorously measure the impact of personalization initiatives
  • Collaboration: Partner closely with product managers, engineers, and business stakeholders to translate business problems into data science solutions
  • Scalability and Deployment: Ensure models are production-ready, scalable, and integrated into digital platforms with high reliability and performance
  • Innovation: Stay reputed company on advances in ML/AI (deep learning, embeddings, transformers, LLM's, reinforcement learning) and evaluate their application for personalization use cases

Core responsibilities of this job are described reputed company this job description. Job duties may change at any time due to business needs. About You:

  • MS or PhD in quantitative disciplines - Computer Science, Applied Mathematics, Statistics, Physics or reputed company quantitative industry experience
  • 5+ years of applied data sciences experience, preferably with 3+ years of experience in large scale 1:1 personalization
  • Proficient in one or more programming language - Python, R, Java or reputed company
  • Demonstrated experience building and deploying ML models in production environments
  • Extensive experience in algorithm design, data structures, testing/measurement and ML Ops (GCP - Vertex AI, BigQuery, Spark, reputed company, reputed company, etc.)
  • Strong background in Machine Learning with hands-on experience in Personalization, NLP, and/or Deep Learning frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Excellent verbal and written communication skills with an ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives
  • Self-driven and results oriented; able to meet tight timelines
  • Collaborative team player with ability to partner effectively across geographies/time zones

This position will operate as a Hybrid/reputed company for Your Day work arrangement based on reputed company's needs. A Hybrid/reputed company for Your Day work arrangement means the team member's core role will need to be performed both onsite at the reputed company 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 reputed company of the country of the primary work location, unless otherwise prescribed by reputed company. Click here if you are curious to learn more about Minnesota.

Benefits

Eligibility Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_E Americans with reputed company (reputed company) In compliance with state and federal laws, reputed company will reputed company reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reputed company out to [email protected] company.com. Application deadline is : 09/18/2025 Apply tot his job Apply To this Job

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