JOB DETAILS

Executive Alliance is pleased to represent our client who is the incubation arm for the world's largest company and leading company on the Fortune 500. They are transforming the customer e-tail/retail experience for future generations with a focus on health and wellness.

They are seeking a Senior Manager, Data Science to work out of their San Bruno, CA HQ OR New York Metropolitan area or Seattle, WA regions.

Job Description:

Executive Alliance is pleased to represent our client who is the incubation arm for the world's largest company and leading company on the Fortune 500. They are transforming the customer e-tail/retail experience for future generations with a focus on health and wellness.

They are seeking a Senior Manager, Data Science to work out of their San Bruno, CA HQ OR New York Metropolitan area or Seattle, WA regions.

NOTE: This is hybrid with presence in the San Francisco, CA or New York/New Jersey or Seattle, WA metropolitan regions. This is not a fully remote role.

NO C2C's, agencies or international candidates, please. Only U.S. candidates in the aforementioned areas will be considered.

This incubation division was formed in 2017 as part of the company's larger innovation mission to shape the future of commerce. They pursue big ideas and take risks by stepping outside of the company's core business to focus on leapfrog capabilities across conversational commerce, mixed reality, in-store digitization, and more.

Their ultimate goal: fuel the company's core business, create new operational efficiencies, and unlock amazing experiences for our customers in the long-term.

This team is working on healthcare innovations because of the company's promise is to help its customers save money and live better. This includes building products that enhance both their physical and emotional wellbeing.

About the Role:

As a Senior Manager, Data Science for one of their portfolio companies, your focus will be leading a team of Data Scientists to finding trends in data sets and developing next-generation algorithms to leverage data for projects within their incubator. Reporting directly to the Director of Engineering, you will partner with the data engineering, product, software engineering and business teams. You will need to be a self-starter with a strong bias for action and excellent communication skills. This is a rare opportunity, moving at the speed of a startup, with the backing and in house data (lots of data) of a Fortune 100 company. You will bridge the art of what’s possible across today’s rapidly evolving consumer & food landscape.

Job Requirements:

What You’ll Do:

• Recruit, lead, and mentor a dynamic team of data scientists, fostering a culture of learning and innovation.
• Utilize your understanding of both business requirements and machine learning architecture to shape our product roadmap, ensuring alignment with organizational goals.
• Dive deep with team members, providing coaching and hands-on technical guidance in critical high-impact areas.
• Collaborate closely with product, app development, and data engineering teams to prioritize and bring your team’s work to life. Identify new opportunities, develop prototypes, and communicate staffing needs.
• Communicate your team’s work effectively to senior leaders and the executive team on a regular basis.
• Leverage cloud-based architectures and technologies to deliver optimized AI/ML models at scale.
• Stay up to date with the latest state-of-the-art techniques in machine learning applications and models, fostering a culture of continuous learning within the organization.


What You’ll Need:

• Master’s or PhD degree in STEM or relevant field; Professional experience in DS, ML, DL, or RL.
• 2+ years of experience leading and managing data science teams.
• Extensive experience with machine learning and deep learning packages (scikit-learn, lightGBM, Tensorflow or PyTorch).
• Experience writing complex SQL queries to surface insights from vast amounts of data.
• Significant programing experience in Python, Spark etc.; Comfortable implementing algorithms from academic papers and building data pipelines.
• Practical experience with cloud services (Google Cloud Platform etc.).
• Familiarity with experimentation design or causal inferences.

Perks and Benefits Beyond competitive pay, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, options for hybrid and flexible schedules, and much more.

#IND2  

Contact Details:

Doug Wald
Vice President of Recruiting
Executive Alliance
doug@execsallied.com
+1-631-493-0515