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Head of Data Science - Data Science/AI/Machine Learning

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Jim Beatrice Principal Recruiter

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Job Info

Category Data Science/AI/Machine Learning
Employment Type Full-Time Employment
Compensation $0.00 - $0.00
Location United States, CA - 94303

Client Introduction

Using complex algorithms to mine the vast untapped data sources every company has and then applying predictive analytics that allows our customers to increase their rate of return for sales enablement in the enterprise market. The goal is to increase repeat and recurring revenue on a large scale. With their product, aftermarket sales teams have actionable and timely insights into customers’ needs and can close more sales in less time.

Job Description

Looking for Data Scientist with lead/management experience to help us transform data into amazing products.

Our Aftermarket Engagement Platform aggregates and enriches customer data, analyzes customer history and behavior using sophisticated machine learning and statistical analysis, and surfaces actionable customer insights to drive aftermarket revenue growth.

Job Responsibilities

Developing machine learning software and statistical data models that can generalize across customers, but can automatically adapt to each of their individual features.

Brainstorm data product ideas with product management and data science teams and mentor junior team-members. Work with fellow engineers to build out parts of the infrastructure, effectively communicating your needs and understanding theirs.

Meet with external customers and understanding their businesses and their challenges.

Build intelligence into backend services to make them run smarter.


Proven knowledge with applied statistics and probability/ predictability data outputs.

Keep up to date with cutting-edge machine learning/ big data methods and techniques.

Experience presenting insights to executives and non-technical audiences around product analytics data.

You are passionate about automating everything and applying scientific methods to solve business and engineering requirements.

Shift quickly from deep thinking to implementing in production

Can thrive in team environments; using agile methodology and interacting with Product Leaders, Scientists and Engineers to solve technology's greatest challenges.

Learn quickly in a fast-paced, dynamic team environment.

Required Experience

Industry experience with writing code (e.g. SQL, Python, R) and taking ML models/ algorithms to production.

Preference for 5+ years of industry experience (without PhD); at least 2-3+ years of industry experience with PhD.

Required Education

Completed a Bachelor's and/or Master's degree related to Computer Science, Statistics or related major studying AI (artificial intelligence), ML (machine learning), Data Science or Mathematics .

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