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Lead Large Scale Data Science Initiatives
1 week ago
At Albertsons Companies, we are revolutionizing the retail industry by pushing the boundaries of innovation and building a culture that fosters belonging.
We operate as one of the largest food and drug retailers in the United States, with over 2,200 stores across 34 states and the District of Columbia. Our portfolio includes well-known banners such as Albertsons, Safeway, Vons, Jewel-Osco, Shaw's, Acme, Tom Thumb, Randalls, United Supermarkets, Pavilions, Star Market, Haggen, Carrs, Kings Food Markets, and Balducci's Food Lovers Market.
We support our stores with 22 distribution centers and 19 manufacturing plants, ensuring seamless operations across our vast network.
In our quest for excellence, we prioritize adaptability, safety, and family well-being. Our hybrid work environment, Presence with a Purpose, allows teams to strike a balance between remote work and office time, empowering them to make decisions that best suit their needs.
About the RoleWe seek an exceptional Principal Data Scientist to lead our data science initiatives and play a pivotal role in shaping our data science models, including machine learning and AI models. You will leverage your expertise in machine learning, statistical modeling, and mathematical modeling to drive impactful business decisions and innovations at scale.
This role requires a unique blend of technical prowess, strategic thinking, and leadership skills. As a Principal Data Scientist, you will be responsible for leading a team of data scientists and analysts, developing and executing a comprehensive data science strategy aligned with business objectives, and collaborating with senior leadership to identify and prioritize high-impact projects.
Main Responsibilities:- Leadership and Strategy:
- Lead and mentor a team of data scientists and analysts.
- Develop and execute a comprehensive data science strategy aligned with business objectives.
- Collaborate with senior leadership to identify and prioritize high-impact projects.
- Advanced Analytics and Modeling:
- Design, build, and deploy large-scale systems for demand forecasting, supply chain optimization, and simulation.
- Design, build, and deploy customer growth systems at scale for personalized ad/offering/item recommendations, search, cross-sell strategies.
- Design and implement state-of-the-art machine learning models and algorithms.
- Analyze large, complex datasets to extract actionable insights.
- Develop predictive and prescriptive models to drive business decisions.
- Project Management:
- Oversee the end-to-end lifecycle of data science projects from ideation to deployment.
- Ensure timely delivery of high-quality analytics solutions.
- Manage project timelines, resources, and stakeholder communications.
- Collaboration and Communication:
- Work closely with cross-functional teams, including engineering, product, and marketing, to integrate data science solutions into business processes.
- Presentation of findings and recommendations to both technical and non-technical stakeholders.
- Foster a data-driven culture within the organization.
- Innovation and Continuous Improvement:
- Stay current with the latest advancements in data science and machine learning.
- Experiment with new techniques and technologies to continuously improve analytical capabilities.
- Drive innovation through research and development initiatives.