Data Science Senior Manager
Hybrid remote ( candidates must be located in NY/NJ, Seattle, or San Francisco) * Generous relocation package offered
Candidates MUST HAVE the below skill-set/experience:
- 2+ years of experience leading and managing data science teams
- Machine learning models – Clustering, Regression, Classification
- Data structures and algorithms
- Recommendation Systems / Recommender Systems
Experience in food and retail environment, ideally worked for a retailer / retail tech or food (tech) company highly preferred.
Our client is start-up with the backing of a fortune 100 company whose mission is to bring innovations to the physical, digital and virtual retail experience,
About the Role:
As a Senior Manager II, Data Science 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 our 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 the Fortune 1 company. You will bridge the art of what’s possible across today’s rapidly evolving consumer & food landscape.
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.