Senior Manager- Data Science

Company Overview

CommerceIQ’s AI-powered digital commerce platform is revolutionizing the way brands sell online. Our unified ecommerce management solutions empower brands to make smarter, faster decisions through insights that optimize the digital shelf, increase retail media ROI and fuel incremental sales across the world’s largest marketplaces. With a global network of more than 900 retailers, our end-to-end platform helps 2,200+ of the world’s leading brands streamline marketing, supply chain, and sales operations to profitably grow market share in more than 50 countries. Learn more at commerceiq.ai.

We are seeking an experienced Senior Manager of Data Science to lead a talented team of data scientists for Retail Media.  You will drive the strategic direction and execution of data-driven initiatives, significantly impacting our company's growth and operational efficiency. As a key leader within our data science organization, you'll collaborate closely with stakeholders across product and engineering to uncover insights, build predictive models, and deliver data products that transform decision-making.

Responsibilities:

• Lead and mentor a team of data scientists, fostering professional growth, technical expertise, and effective collaboration.
• Define and execute the data science roadmap in collaboration with the product team, aligning projects and deliverables with strategic business objectives.
• Develop advanced analytical solutions, predictive models, and AI-driven approaches to address complex business challenges.
• Define the POCs and conduct experiments in a clean manner to prove benefits of AI solutions for clients. 
• Engage with senior leadership and cross-functional stakeholders to communicate insights, recommendations, and the measurable impact of data science projects.
• Ensure high standards of analytical rigor, model accuracy, data quality, and performance consideration in all data science practices. Maintain a fine balance between long term vision and short term wins.
• Continuously evaluate and integrate new technologies, tools, and methodologies to keep the team at the cutting edge of data science innovation.

Qualifications:

• Bachelor’s / Master's / Ph.D. in Data Science, Statistics, Computer Science, Economics, or related engineering streams.
• 9+ years of professional experience in data science, with at least 3 years in a managerial role.
• Proven track record of developing and deploying predictive models, machine learning algorithms, and advanced analytics solutions.
• Strong proficiency in Python, SQL, and experience with popular machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch,).
• Excellent communication, presentation, and stakeholder management skills with the ability to translate complex analytical insights into actionable business strategies.
• Experience in Agile methodologies and managing data science projects from conception to production deployment.
• A strategic thinker with a passion for innovation, continuous learning, and problem-solving.

Preferred Skills:

• Familiarity with cloud computing platforms (AWS ) and big data technologies (PySpark).
• Experience in e-commerce, retail or advertising domain.

Why you will love to work with us -

We have multiple brands, which are among the biggest digital brands operating, as our customers. You will be responsible for working with their data and developing models and algorithms to drive lift in tune of hundreds of thousands of dollars.

• Opportunity to work on latest problems in retail media domain ( some unsolved, some might be even unheard of ) 
• You will own projects end to end i.e., from exploration to final production
• You will be empowered to make decisions. It implies more responsibilities but high learning
• Immense opportunities to learn and develop AI products for brands and get company-wide recognition
• Forget endless meetings. Get things done and start making an impact from day 1
• Work hard, have amazing fun, create history, build the future of eCommerce 
• Start-up environment with a strong culture and values to accelerate your career
• Work with talented and ambitious individuals  

Join us and help drive the future of data-driven innovation!

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other category prohibited by applicable law.