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Manager, Data Science

3 months ago

New York, United States Lack + Daily Marketing Recruiting Experts Full time

HYBRID (3 days in office): NYC (Wall St Area)

No Relocation - must be commutable to NYC



Our client creates beauty innovations for everyone that inspire confidence and ignite joy every day. Today, our client resiliently continues its legacy as a leading global beauty company. Their diverse portfolio—which consists of some of the world’s most iconic brands and product offerings in color cosmetics, skin care, hair color & care, personal care, and fragrances—is sold around the world through prestige, professional, mass, and direct-to-consumer retail channels.


Role: Manager, Data Science & Analyti


cs

The Manager of Data Science and Analytics will be responsible for delivering insights and solutions that drive business growth. The ideal candidate will have a strong background in data science, modeling, Python, SQL, and experience with Nielsen or IRI data. This role requires excellent communication skills to effectively collaborate with cross-functional teams and present findings to stakeholders. Additionally, expertise in media mix modeling and deriving media insights is essential for this ro


le.

Qualificati

  • ons:Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related fi
  • eld.5+ years of experience in data science and analytics, with at least 2 years in building large scale data science mod
  • els.Proficient in Python for data analysis and model
  • ing.Strong SQL skills for data manipulation and query
  • ing.Experience with Nielsen and IRI data is highly desira
  • ble.Demonstrated experience in building and deploying predictive models using deep learning and machine learning algorithms. Knowledge about Generative AI is a p
  • lus.Excellent problem-solving skills and attention to det
  • ail.Strong communication and interpersonal skills, with the ability to present complex data insights to various stakehold
  • ers.Ability to manage multiple projects and deadlines in a fast-paced environm
  • ent.Knowledge of data visualization tools (Power BI) is a p


lus.