Director of Analytics ML / AI Product Management
Location : New York City Metropolitan Area (On-site / Hybrid)
New York City, NY
Unfortunately, we are unable to sponsor at this time.
Hiring an experienced Director of Product Analytics to manage a 10-person team within a growing technology company. You will provide leadership for the delivery of Advanced Analytics to build reporting metrics, dashboards, measurement of AL / ML models for our core Products.
This team is critical to facilitate the connection between our Data Science, Engineering and Product teams. This is a cross-functional position managing a team of Product Data Analysts to deliver statistical data to our Product and Engineering teams.
Summary :
- Responsible for leading a 10-person team developing new statistical techniques, product strategy, automating analytics framework, and measurement to build cutting-edge classification products.
- Work closely with various data sources to streamline data for predictive, personalization, classification, and algorithm development.
- Have a proven track record of drawing insights from data and translating those insights into tangible business outcomes.
- Ability to work cross-functionally with Product teams, Data Science and Engineering.
- Recruit, motivate, mentor, and develop team members.
Experience Must Have :
- Minimum of 7+ years’ professional experience.
- 4+ years’ experience in Data Analytics, measurement, and metrics.
- Experience in data science, statistical analytics, product analytics.
- Management of at least 3-4 direct reports is required.
- Experience in Product Management is preferred.
- Track record of team leadership, continual learning and attending conferences.
Nice to Have :
- Experience with computer vision, image classification, content moderation, classification, AI and artificial intelligence is strongly preferred / desired.
- Experience with Python, NLP, BigQuery, Looker, Tableau, Databricks and AWS.
- Excellent problem-solving and critical-thinking skills.
Education :
Bachelors or Master’s in Mathematics, Statistics, Biostatistics, Computer Science or similar degree in a quantitative field.
Benefits :
- Medical, Dental, Vision (premiums fully covered)
- HSA, FSA, Pre-tax Commuter, 401k
- Flexible hours (Remote / Hybrid)
- Conferences
- Gym Reimbursement
- Learning and Development Budget
keywords : analytics, strategy, product, AI, measurement, metrics, data science, visualization, statistics
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