Description

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, skin care, 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, Britney Spears, 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.

Job Overview: The Senior Manager of Data Science and Analytics will lead a team responsible for delivering insights and solutions that drive business growth. The ideal candidate will have a robust background in data science, advanced modeling techniques, deep learning, and Generative AI. Proficiency in Python, SQL, and experience with Nielsen or IRI data is essential. This role demands excellent communication skills to effectively collaborate with cross-functional teams and present findings to stakeholders. The Senior Manager will also play a pivotal role in mentoring team members and steering the strategic direction of the data science initiatives. Additionally, expertise in media mix modeling and deriving media insights is essential for this role.

Key Responsibilities:

• Lead and oversee the design and execution of advanced data science projects, including predictive modeling, machine learning, deep learning, and statistical analysis.

• Utilize Python, SQL, and other data science tools 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, including deep learning and Generative AI, and mentor team members to develop their skills.

• Ensure the quality and accuracy of data and analytics deliverables.

• Provide strategic direction and leadership to the data science team, fostering a culture of innovation and continuous improvement.

• Lead the development and implementation of data-driven strategies to enhance business performance.

• Oversee the deployment of large-scale data science models and ensure their scalability and reliability.

Qualifications:

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field. A Ph.D. is a plus.

• 7+ years of experience in data science and analytics, with at least 3 years in a leadership role and experience 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 and practical experience with Generative AI, natural language processing (NLP), and other advanced AI techniques.

• 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.

• Proven ability to lead and develop high-performing teams.

• Strong strategic thinking and business acumen

#LI-PD1

The base pay range for this position in New York City is $135,000-165,000/ year; however base pay offered may vary depending on skills, experience, job-related knowledge, and location. Certain positions may also be eligible for short and/or long-term incentives as part of total compensation.

Employees (and their families) are eligible for medical, dental, and vision benefits. Employees are covered by the company-paid basic life insurance policy. 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 are also enrolled in our 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).

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.

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

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)