Senior Manager Data Science [T500-21327]

About Albertsons Companies Inc :

As a leading food and drug retailer in the United States, Albertsons Companies, Inc. operates over 2,200 stores across 35 states and the District of Columbia. Our well-known banners across the United States, including Albertsons, Safeway, Vons, Jewel-Osco and others, serve more than 36 million U.S customers each week.

We build and shape technology solutions that solve customers’ problems every day, making things easier for them when they shop with us online or in a store. We have made bold, strategic moves to migrate and modernize our core foundational capabilities, positioning ourselves as the first fully cloud-based grocery tech company in the industry.

Our success is built on a one-team approach, driven by the desire to understand and enhance the customer experience. By constantly pushing the boundaries of retail, we are transforming shopping into an experience that is easy, efficient, fun and engaging.

About Albertsons Companies India :

At Albertsons Companies India, we're not just pushing the boundaries of technology and retail innovation, we're cultivating a space where ideas flourish and careers thrive. Our workplace in India is a vital extension of the Albertsons Companies Inc. workforce and important to the next phase in the company’s technology journey to support millions of customers’ lives every day.

At the Albertsons Companies India, we are raising the bar to grow across Technology & Engineering, AI, Digital and other company functions, and transform a 165-year-old American retailer. At Albertsons Companies India associates collaborate directly with international teams, enhancing decision-making processes and organizational agility through exciting and pivotal projects. Your work will make history and help millions of lives each day come together around the joys of food and inspire their well-being.

Position Title : Senior Manager Data Science

Job Description :

Roles & responsibilities :

Build and lead a high-performing team of data scientists and machine learning engineers in a hands-on technical capacity. Inspire and deliver data science innovations that fuel the growth of business

Provide technical leadership in data science. Guide architectures, data science models, machine learning algorithms and engineering best practices. Coach team members and grow the skill sets

Use machine learning to solve real problems, power the next generation experiences for large scale applications. Deliver breakthrough benefits to customers using personalized, enriched, and derived data from a range of sources

Partner with cross-functional teams to deliver large scale strategic projects as well as ongoing operational activities. Interface with cross functional leaders and represent point of views from data science to drive measurable success

Drive meetings and lead discussions. Prioritize projects across the team and allocate resources to meet business and team goals

Communicate sophisticated machine learning and modeling solutions effectively with intuitive visualizations for business stakeholders

Experience Required :

Master’s or PhD degree in quantitative discipline : Computer Science, Data Science, Engineering, Math, Statistics or related fields

2+ years management experience in building and leading data science teams

Track record of guiding teams through unstructured technical problems to deliver business impact. Ability to translate high-level business objectives into actions

Skilled at running cross-functional relationships and communicating with leadership across multiple organizations

7+ years of industry experience in applying data science : personalization, recommendation, experimental design, machine learning, deep learning algorithm etc.

5+ years of hands-on experience in building data science solutions and production-ready systems on big data platforms such as Snowflake, Spark, Hadoop

5+ years of experience and proficiency in Python, SQL

Excellent communications skills, with the ability to synthesize, simplify and explain complex problems to different audience

Experience with GCP, Databricks, Retail business knowledge is a plus

Skills Required : Experimental design

Machine learning

Deep learning

Python

SQL

Big data platforms (Snowflake, Spark, Hadoop)

Data Engineering

MLOps

Model Life Cycle Management

AI / machine learning tools

Systems design

Analytics across functions

Data Science team leadership (5+ years)

Strategic retail and grocery analytics expertise

Strong cross-functional relationship management and executive communication skills