Data Science Associate Manager

Data Science Associate Manager Job Locations US-NY-New York ID 2026-440592 Category Digital Products and Services Position Type Salaried Relocation No Overview We’re seeking a Data Science Manager to lead a high-performing team delivering scalable analytics and machine learning solutions.

In this role, you will drive the technical vision, execution, and adoption of data science initiatives that support our global Strategy and Transformation agenda.

You will partner closely with business and technology leaders to identify high-impact opportunities and foster a strong data-driven culture.

Responsibilities Lead, mentor, and grow a team of data scientists, providing technical guidance and career development Own the end-to-end delivery of large-scale analytics and machine learning initiatives Define standards and best practices for model development, data pipelines, and ML production workflows Oversee the design, deployment, monitoring, and optimization of machine learning systems in production Partner with business stakeholders to translate strategic goals into data science roadmaps and measurable outcomes Drive adoption of modern techniques, including Generative AI, where they deliver clear business value Communicate technical concepts, progress, and impact effectively to business and technical audiences Compensation and

Benefits: The expected compensation range for this position is between $120,300 - $205,150.

Bonus based on performance and eligibility target payout is 10% of annual salary paid out annually. Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement.

Qualifications Master’s Degree in Data Science, Computer Science, Statistics, or equivalent 5+ years of experience in data science, with leadership or people-management responsibility Proven experience delivering machine learning solutions using diverse data sources Strong Python skills and ability to guide production-quality ML code Solid understanding of software engineering, data engineering, and MLOps best practices Experience with deep learning frameworks (TensorFlow or PyTorch) Strong foundation in statistical and mathematical modeling Experience with cloud-based and distributed computing platforms Experience with Generative AI, including LLMs, prompt engineering, and RAG architectures > Our Company will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Credit Reporting Act, and all other applicable laws, including but not limited to, San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance; and Chapter XVII, Article 9 of the Los Angeles Municipal Code, commonly referred to as the Fair Chance Initiative for Hiring Ordinance.

PepsiCo is an Equal Opportunity Employer: Female / Minority / Disability / Protected Veteran / Sexual Orientation / Gender Identity / Age. If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law & EEO is the Law Supplement documents.

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