Manager, Data Science & Analytics

At Revlon, we create beauty innovations for everyone that inspire confidence and ignite joy every day.

Breaking beauty boundaries is in our company’s DNA. Since its game-changing launch of the first opaque nail enamel in 1932 (and later, the first long-wear foundation), Revlon has provided consumers with high-quality product innovation, performance, and sophisticated glamour. Elizabeth Arden made waves as a woman-led beauty company in the 1920s. In 1931, Almay became the original hypoallergenic, fragrance-free beauty brand.

Today, Revlon resiliently continues its legacy as a leading global beauty company. Our diverse portfolio—which consists of some of the world’s most iconic brands and product offerings in color cosmetics, skincare, hair color & care, personal care, and fragrances—is sold around the world through prestige, professional, mass, and direct-to-consumer retail channels. These brands include Revlon, Revlon Professional, Elizabeth Arden, Almay, American Crew, CND, Cutex, Mitchum, Sinful Colors, Creme of Nature, Christina Aguilera, John Varvatos, Juicy Couture, Ed Hardy and more.

We honor our heritage, embrace change, and applaud diversity. We champion our employees and celebrate our consumers.

We are Revlon, together, transforming beauty.

Position Overview:

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 Circana 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 role.

Key Responsibilities:

• Oversee the design and execution of data science projects, including predictive modeling, machine learning, and statistical analysis.
• Utilize Python and SQL to manipulate and analyze large datasets.
• Ensure the team’s work is aligned with business objectives and provide actionable insights to stakeholders.
• Collaborate with cross-functional teams to identify opportunities for leveraging data to drive business solutions.
• Develop and apply media mix models to optimize marketing spend across various channels.
• Generate media insights to inform marketing strategies and measure the effectiveness of media campaigns.
• Maintain familiarity with Nielsen or  IRI data, and integrate this information into analyses and models.
• Communicate complex data findings in a clear and concise manner to non-technical stakeholders.
• Develop and maintain documentation for data science processes and models.
• Stay current with the latest data science trends, tools, and technologies, and mentor team members to develop their skills.
• Ensure the quality and accuracy of data and analytics deliverables.

Qualifications: 

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
• 5+ years of experience in data science and analytics, with at least 2 years in building large scale data science models.
• Proficient in Python for data analysis and modeling.
• Strong SQL skills for data manipulation and querying.
• Experience with Nielsen and IRI data is highly desirable.
• Demonstrated experience in building and deploying predictive models using deep learning and machine learning algorithms. Knowledge about Generative AI is a plus.
• Excellent problem-solving skills and attention to detail.
• Strong communication and interpersonal skills, with the ability to present complex data insights to various stakeholders.
• Ability to manage multiple projects and deadlines in a fast-paced environment.
• Knowledge of data visualization tools (Power BI) is a plus.

#LI-NA1

The base pay range for this position is $155,000 and $180,000/year; however base pay offered may vary depending on skills, experience, job-related knowledge, and geographic location. Certain positions may also be eligible for short-term incentives as part of total compensation.

This role is eligible for an annual bonus based on company performance.

Employees (and their families) are eligible for medical, dental, and vision benefits. Employees are covered by the company-paid basic life insurance policy and company-paid short-term disability insurance (the benefit commences upon hire and allows for a portion of base salary for up to 26 weeks if you are disabled). Other benefits offered to employees include but are not limited to the following: long-term disability, supplemental life insurances, flexible spending accounts, critical illness insurance, group legal, identity theft protection, etc. Employees are also able to enroll in our 401k Retirement Savings Plan.

Employees will also receive 3 weeks of vacation, pro-rated based on date of hire for the 1st year of employment and twelve paid holidays throughout the calendar year. Vacation will depend on role.