Senior Data Scientist

Full time

Employment Information

Job levelSenior level

Salary$170 186 - $171 186

IndustryRetail

Experience

LocationSan Jose, CA, United States

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Overview

Discover the possibilities of our progressive, omnichannel approach to beauty retail. At Ulta Beauty, our E-commerce associates sit at the cutting edge of our efforts to reimagine the future of retail. Through a full suite of new and emerging technologies, this team is creating an enhanced buying experience for guests who crave simplicity, choice, personal insights and the joy of discovery. With greater interactivity. Inspired applications of big data, AI and UI/UX. And creative that persuades and delights. All of this, with the opportunity to experience smart ideas come to life.

At Ulta Beauty, we’re forever imagining. Forever striving. Forever investing in next-gen—with deep and rich opportunities for ongoing learning, growth and advancement. We encourage you to take control of your career and set your own ceiling. For curious and big-picture thinkers who can flex to the need and who want to stretch themselves through courage and conviction, Ulta Beauty provides an environment perfectly suited to your ambitions. Let’s build brilliant together.

Duties:

Recommendation Engines: Design and implement novel recommendation algorithms that power personalization efforts. Areas to tackle include unsupervised learning, supervised learning, bi-clustering, and real-time adaptive models.
Machine Learning: Leverage Machine Learning (ML) to tackle challenging problems in the recommendations and retail consumer engagement space. This may require developing novel algorithms and/or understanding how to apply existing methodologies to solve given domain specific problems.
Platform Development: Contribute and integrate all efforts into a team-wide AI platform using best-of-class and scalable software engineering practices.
Relation Management: Explain and present complex algorithms in a concise manner to internal stakeholders in order to garner support and buy in from business partners.

Requirements:

Bachelor’s degree in Computer Science, Engineering (any), or related.
Two (2) years in any occupation in which NLP, Machine Learning, or Data Science experience is gained must include: Experience with Machine Learning algorithms, techniques and methodologies; Experience with Cloud Computing, such as Google Cloud Platform, Amazon Web Services, or Apple iCloud; Experience with Big Data, Semi-Structured, and Unstructured databases, algorithms, techniques and methodologies; and Experience with programming languages such as: Python or C++.

Alternate education/Experience requirements:

Employer will accept a Master’s degree in Computer Science, Engineering (any), or related and no years of experience. Must have skills listed above.

Salary: $170,186 - $171,186 per year

The pay range for this position is $113600.00 - $193400.00 / Year with the opportunity for eligible associates to earn additional compensation pursuant with the Company’s bonus plan. Exact pay will be based on factors including but not limited to relevant education qualifications certifications experience level shift geographic location and business and organizational needs. Visit our Benefits and Career Development page:https://careers.ulta.com/careers/benefits-and-career-development

About

At Ulta Beauty (NASDAQ: ULTA), the possibilities are beautiful. Ulta Beauty is the largest North American beauty retailer and the premier beauty destination for cosmetics, fragrance, skin care products, hair care products and salon services. We bring possibilities to life through the power of beauty each and every day in our stores and online with more than 25,000 products from approximately 500 well-established and emerging beauty brands across all categories and price points, including Ulta Beauty’s own private label. Ulta Beauty also offers a full-service salon in every store featuring—hair, skin, brow, and make-up services.

We will consider for employment all qualified applicants, including those with arrest records, conviction records, or other criminal histories, in a manner consistent with the requirements of any applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, and the New York City Fair Chance Act.