Data Science Team Lead

About Inspire Brands :

Inspire Brands is disrupting the restaurant industry through digital transformation and operational efficiencies. The company’s technology hub, Inspire Brands Hyderabad Support Center, India, will lead technology innovation and product development for the organization and its portfolio of distinct brands. The Inspire Brands Hyderabad Support Center will focus on developing new capabilities in data science, data analytics, eCommerce, automation, cloud computing, and information security to accelerate the company’s business strategy. Inspire Brands Hyderabad Support Center will also host an innovation lab and collaborate with start-ups to develop solutions for productivity optimization, workforce management, loyalty management, payments systems, and more.

Job Description :

The Manager, Machine Learning Engineering will lead a specialized team within Inspire Brands, focusing on developing sophisticated and scalable models across multiple brands. This role involves leading a team of 2-3 data scientists to design, create, monitor, and maintain mature ML systems. The Manager will be a central figure in facilitating effective communication and collaboration with various internal stakeholders, including demand generation, revenue management, brand analytics, data product and engineering teams.

Skills Required :

Data Science, Tensorflow, Pytorch, scikit-learn, Python, R

Experience Range : 12 - 17 years

RESPONSIBILITIES :

• Lead the development and implementation of advanced analytical models for predictive and prescriptive machine learning model systems.
• Manage a team of data scientists, providing guidance on complex data analysis and modeling tasks, ensuring high-quality deliverables, and optimizing workflows.
• Foster strong collaborative relationships with revenue management, brand analytics, and data product teams, to align data science initiatives with business objectives.
• Communicate complex analytical findings and strategic recommendations effectively across different levels of the organization, including non-technical stakeholders.
• Oversee the integration of machine learning recommendations with overall brand strategies, ensuring consistency and alignment.
• Drive the continuous improvement of analytical tools and processes, staying up to date of industry trends and technological advancements.

EDUCATION AND EXPERIENCE QUALIFICATIONS :

REQUIRED KNOWLEDGE, SKILLS, or ABILITIES :