Data Scientist at Capital One creating machine learning models for customer management. Collaborating with teams to deliver insights from large datasets to enhance customer decisions.
About the role
- Principal Data Scientist at Ingredion leading AI/ML advancements and building scalable data solutions for innovation. Empowering global teams with strategic insights to enhance product development.
Responsibilities
- You'll be at the forefront of AI/ML advancements applying cutting-edge techniques to real-world challenges and driving measurable business outcomes.
- Leading the design and implementation of a robust data framework that evolves with our innovation business.
- Structuring and scaling a dynamic data lakehouse and democratic analytical layer in Google Cloud, which supports our vision for using data to guide ingredient selection, predictive formulation strategies, and customer-centric innovation.
- Collaborating with technical resources to stand up scalable machine learning pipelines that can quickly adapt to new challenges.
- Developing and deploying machine learning models tailored to evolving business needs,
- Mentoring the next generation of data scientists - fostering a culture of excellence.
- Supporting the Director – Innovation, Digital to select & drive use cases that will accelerate our ability use data to hone in on the right solutions for our customers.
Requirements
- Years of work experience in predictive modeling, data science and analysis – where you have demonstrated the ability to set the long term technical vision and see it through (with a strong preference for those who have done this within a Google ecosystem)
- Proven delivery of multiple major data science initiatives providing measurable value and insight to business stakeholders - articulating and translating business questions, using statistical techniques to arrive at a solution using available data.
- Technical leadership – from your degrees in relevant quantitative fields, on top of the ability to utilize data scripting languages (e.g. SQL, Python) and understand statistical methods and advanced modeling techniques (e.g. machine learning, Bayesian inference)
- Exceptional leadership, stakeholder management, and collaboration skills, with a proven ability to inspire and speak about technical concepts to business, technical and lay audiences.
- Preferably a strong background in Food or Global ingredient solutions – to understand the challenges and opportunities of new solution formulation using data.
Benefits
- Total Rewards Package – Competitive salary and performance-based pay recognizing your contributions to our success
- Comprehensive Benefits & Wellness Support – Health, long-term savings, and resources for your physical, mental, and emotional well-being
- Career Growth – Learning, training, and development opportunities, including tuition reimbursement
- Employee Recognition Program – A culture of real-time appreciation, with personalized recognition rewards globally
- Employee Discount Program – Provides exclusive discounts on everyday products, services, and travel
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