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Sr. Marketing Scientist (3759)

YUM

Kentucky

On-site

USD 96,000 - 126,000

Full time

30+ days ago

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Job summary

An established industry player is seeking a Senior Marketing Scientist I to join their innovative team. This role involves leveraging data analysis and media analytics to drive strategic decision-making for renowned brands. You will analyze various data sources to uncover trends that optimize marketing strategies, ensuring high client satisfaction and revenue growth. This position offers a unique opportunity to tackle complex marketing challenges while managing multiple client relationships. Join a forward-thinking company dedicated to enhancing consumer experiences through data-driven insights and impactful storytelling.

Benefits

4 weeks of vacation PLUS holidays
5 sick days
2 paid volunteer days
401k matching
Medical, dental, vision
Life insurance
Half day Fridays
Generous parental leave
Recognition culture

Qualifications

  • 8+ years of experience in media planning and analytics.
  • Strong analytical skills to identify trends and insights.

Responsibilities

  • Analyze media, sales, and customer data for actionable insights.
  • Manage advertising budgets and optimize media spend.

Skills

Data Analysis
Media Analytics
Client Management
Communication Skills
Problem-Solving
Project Management

Education

Bachelor’s degree in Marketing
Master’s degree in Marketing
Degree in Business Analytics

Tools

Kvantum’s proprietary tools

Job description

Our story might surprise you. We’re the world’s largest restaurant company—encompassing KFC, Pizza Hut, and Taco Bell—but there’s a lot more going on behind the scenes than just frying chicken, baking pizzas, and serving up tacos. We put this delicious food in the hands of customers through apps, websites, kiosks, POS, and other digital dining experiences – and we are only getting started. We’re building out a bold team of hackers to help Yum! Brands deliver the next generation of software to 49,000 restaurants in more than 145 countries. That’s a huge responsibility, which is why we’re on a mission to find the most fearless engineers to join our software startup within Yum!.

Yum!'s vision for the future is simple: a world with more Yum!: with our iconic brands in more places, and more ways for consumers to access them. The key and not-so-secret ingredient in our recipe for growth is our unrivaled talent and culture, which fuels our results. And like all companies who win consistently, our brands, employees, and franchisees will need to continually adjust to stay relevant now and in the future. The software we’re building does just that: it serves people in new ways to make team members more productive and customers happier.

Who is Kvantum?

Kvantum by Yum! is an artificial intelligence-based consumer insights and marketing performance analytics business (part of Yum! D&T division) focused on deploying proprietary algorithms and machine-learning models to help brands understand consumer behavior and make informed media, promotions, and pricing decisions. Kvantum serves mainly internal brands around the globe (Taco Bell, Pizza Hut, KFC, The Habit Grill) and serves select Fortune 100 brands, as well.

Job Overview

We are seeking a highly skilled Senior Marketing Scientist I to join our team. In this role, you will leverage your expertise in data analysis and media analytics to drive data-informed decision-making for Yum! Brands, franchisees, and other external Fortune 100 clients. You will play a key part in analyzing various data sources—such as media, sales, customer behavior, and pricing data—to uncover trends and provide actionable insights that optimize marketing strategies and achieve business objectives.

As a Senior Marketing Scientist I, you will be responsible to work with a team using Kvantum’s proprietary tools to analyze data, run models, and ensure the success of marketing campaigns by managing advertising budgets and optimizing media spend. Your work will involve driving thought leadership, and staying ahead of trends in the martech space. You will also be tasked with conducting in-depth analysis, supporting media planning, and overseeing client projects to ensure high satisfaction and revenue growth.

This position offers an exciting opportunity to work on complex and impactful marketing challenges, manage multiple client relationships, and contribute to brand storytelling through model-driven insights.

Responsibilities

  1. Analyze media, sales, customer, pricing and other analytics data, draw conclusions and identify trends with actionable recommendations to help Yum! Brands & Franchisees, and external Fortune 100 companies with data-driven decision making.
  2. Understand and use Kvantum’s proprietary tool to mobilize data, run models and review results.
  3. Based on understanding of how media is executed realistically, optimize advertising budgets to ensure campaigns stay within allocated spending and achieve target objectives.
  4. Drive thought leadership, stay updated with new media, technology in the martech space, and optimize efforts towards business KPIs through experimentation and analysis.
  5. Conduct initial data, menu and brand analysis to determine optimal variables for marketing mix models.
  6. Ensure high-quality deliverables to drive client satisfaction and retention, support media planning with predictive models and optimization scenarios, and manage multiple clients to ensure high satisfaction and revenue growth.
  7. Communicate complex information clearly, effectively, and persuasively, working closely with clients to build strong relationships and ensure alignment on goals.
  8. Manage projects, oversee implementation of recommendations, and provide ongoing support and guidance to clients.
  9. Most importantly, deliver powerful brand stories using model outcomes!

Minimum Requirements

  1. Bachelor’s or Master’s degree in Marketing, Marketing Communications, Economics, Business Analytics, Business Management, or a related field.
  2. 8+ years experience in media planning, consulting or business analytics (sales, marketing, customer, pricing) with a proven track record of client management.
  3. The ability to analyze data, identify trends, and draw meaningful conclusions.
  4. The ability to identify and resolve complex issues creatively and effectively.
  5. Strong written and verbal communication skills, including the ability to present information clearly and persuasively.
  6. The ability to build rapport with clients, manage relationships, and work effectively in a team environment.
  7. Exceptional client management skills and the ability to manage multiple clients across time zones and verticals.
  8. Strong problem-solving abilities and a collaborative mindset.
  9. Excellent presentation and data visualization skills.
  10. The ability to plan, organize, and execute projects effectively.

Preferred Requirements

  1. In-Depth understanding of how QSR and/or CPG industries work.
  2. Advanced statistical analysis and MMM modeling experience is a plus.
  3. Familiarity with statistical algorithms used in marketing, customer, pricing, and sales analytics.

A few of our perks:

  • 4 weeks of vacation PLUS holidays
  • 5 sick days
  • 2 paid volunteer days
  • 401k matching
  • Medical, dental, vision
  • Life insurance
  • Half day Fridays
  • Generous parental leave
  • A world-famous recognition culture

Salary Range: $96,700 - $125,180 annually + bonus eligibility. This is the expected salary range for this position. Ultimately, in determining pay, we'll consider the successful candidate’s location, experience, and other job-related factors.

Benefits: Employees (and their eligible family members) may enroll in the following types of insurance coverage: medical, dental, vision, legal, and accidental death and dismemberment, as well as FSA/HSA (depending on enrolled medical plan). Yum! also provides short-term disability, long-term disability, and life insurance. Employees may enroll in our 401(k) plan. Yum! provides 4 weeks of vacation, paid sick leave, 10 paid holidays, a floating day off and 2 paid days for volunteer time each calendar year.

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