Head of Data Science at Kvantum

Short Description:

The Head of Data Science at Kvantum by Yum! leads the development and execution of the company's data science strategy, focusing on AI/ML, advanced analytics, and coding proficiency. Responsible for managing a talented team, the role involves collaborating cross-functionally to address business challenges through data science techniques. The Head of Data Science designs and implements advanced analytics models, staying abreast of the latest advancements in the field. Qualifications include a BTECH degree, 12-16 years of analytics/data science experience, and proven leadership skills. The role offers competitive compensation, a collaborative work environment, and opportunities for professional growth.

Position: Head – Data Science

Tech Expertise:

Seventy percent of the role focuses on Data Science, including AI/ML and Advanced Analytics.
Proficiency in coding is essential.
Mandatory exposure to Python and SQL.
Proficient in MS Excel and MS PowerPoint.

Company Overview:

Kvantum by Yum! operates as an AI-driven consumer insights and marketing analytics business within Yum! D&T division. The company utilizes proprietary algorithms and machine-learning models to aid brands in understanding consumer behavior and making informed decisions regarding media, promotions, and pricing. Kvantum primarily serves internal brands globally (Taco Bell, Pizza Hut, KFC, The Habit Grill) and selected Fortune 100 brands.

Role Purpose:

As the Head of Data Science, your primary responsibility is to lead and shape the data science strategy, utilizing advanced analytics to optimize business performance. This pivotal role involves developing and executing data-driven initiatives, leading a team of data scientists, and collaborating across functions to generate actionable insights.

Key Responsibilities:

Develop and execute the overall data science strategy aligned with company goals.
Lead and mentor a team of data scientists, fostering innovation and excellence.
Collaborate with cross-functional teams to identify business challenges addressed through data science.
Design and implement advanced analytics models to extract insights from large datasets.
Drive development and deployment of machine learning models for process optimization and revenue growth.
Stay updated on the latest advancements in data science and identify opportunities for application.
Ensure data quality through robust governance practices and effective data management.
Present data-driven insights to senior leadership and stakeholders.
Collaborate with external partners for additional data sources and expertise.

Qualifications:

BTECH Degree in relevant fields (Engineering, Economics, Statistics, Mathematics, Business Analytics).
12-16 years of experience in analytics and/or data science.
Proven leadership experience (4+ years) in data science or analytics.
Exposure to team management in a large-scale setting.
Strong expertise in statistical analysis, machine learning, and predictive modeling.
Proficiency in Python, R, or SQL, and experience with data analysis tools.
Excellent analytical and problem-solving skills.
Strong business acumen aligning data science initiatives with business objectives.
Exceptional communication and presentation skills.
Experience in Retail & QSR is advantageous.

Nice to Have:

Engagement manager in tech roles.
Client-facing experience.
Consulting background.
Experience in Pricing Analytics (Good to have).
Team Management.

Attractive Benefits:

We offer competitive compensation, a collaborative work environment, and opportunities for professional growth. If you are a visionary data science leader passionate about driving innovation through data, we invite you to apply by submitting your resume, cover letter, and relevant portfolio or project work showcasing your data science expertise.

Skills and Qualifications:

BTECH Degree in relevant fields (Engineering, Economics, Statistics, Mathematics, Business Analytics).
Overall, 12-16 years of experience in analytics and/or data science.

Please click here to apply.

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