Data Scientist

RAPP Los Angeles is looking for a Data Scientist to join our award-winning Marketing Sciences team.

WHO WE ARE :

We are RAPP – world leaders in activating growth with precision and empathy at scale.

As a global, next-generation precision marketing agency we leverage data, creativity, technology, and empathy to foster client growth. We champion individuality in the marketing solutions we create, and in our workplace. We fight for solutions that adapt to the individual’s needs, beliefs, behaviors, and aspirations.

We foster an inclusive workplace that values diversity and emphasizes personal well-being.

HOW WE DO IT :

At RAPP, our fearless superconnectors help to create value from personal brand experiences by focusing on three key areas : connected data, connected content and connected decisioning.

Our data analysts identify who that person is, our strategists understand what they want, and our award-winning technologists and creatives know how to deliver it – ensuring we’re able to activate authentic customer connections for our clients.

Part of Omnicom’s Precision Marketing Group, RAPP is comprised of 2,000+ creatives, technologists, strategists, and data and marketing scientists across 15+ global markets.

YOUR ROLE :

The Data Scientist provides support of the development of actionable insights, algorithms and computational solutions to real-world marketing challenges through the application of technology-based mathematical methods. Under the direction of the Director, Data Science, the Data Scientist works with multidisciplinary teams to inform, power, measure and optimize marketing efforts.

RESPONSIBILITIES :

• Analyzes large and small internal and external datasets to extract actionable insights
• Develop statistical models to drive targeting, messaging and strategic decision-making, which may include and is not limited to :
• Marketing Mix (MMM) and Marketing Attribution (MTA) models
• Profile-based, Behavioral, LTV and other customer segmentation models
• Response, look-alike, loyalty, net lift and other sales models
• Survival Analysis, In-market and other timing models
• Leads, sales and other KPI forecasting models
• Support iteration and feature enhancement of existing models
• Create new or challenger models with methods, data, and / or tools that are currently not in production.
• Aid in code standardization, review, and versioning to increase efficiency and streamline process
• Collaborate with other disciplines to explain insights around statistical output that helps describe the targeting group, consumer, or model tier to non-technical audiences

REQUIREMENTS :

Our hybrid work model :

RAPP's current hybrid model is designed to enable in-person connections and collaboration that is core to our culture, while also supporting flexibility for all employees. As such, we have the option to work from home two days per week, if we'd like.

RAPP provides a competitive salary and comprehensive benefits plan. Benefits for this role include health / vision / dental insurance, 401(k), stock options, Healthcare & Dependent Flexible Spending Accounts, vacation, sick, and personal days and positive activism days, paid parental leave and disability benefits. For more information regarding Omnicom benefits, please visit www.omnicombenefits.com . A reasonable estimate of the salary for this role, at the time of posting, is $75,000 - $90,000. This range is specific to Los Angeles and multiple factors are considered in making compensation decisions including, but not limited to : skill set, experience and training, certifications; etc. This is an exempt position. If your requirements fall outside of this range, you are still welcome to apply.

“As an EEO / Affirmative Action Employer all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status.”

NOTE :   This job description is not intended to be all-inclusive. Employee may perform other related duties as negotiated to meet the ongoing needs of the organization.