People.ai

Head of Data Science - AI/ML Enterprise SaaS at People.ai

San Francisco · Full Time

We're on a mission to help businesses make decisions based on real activity data, not intuition.

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Job Description

People.ai is the AI platform for data-driven enterprise companies. We're building the world's largest self-updating business activity and relationship graph. We're leveraging ML and AI to deliver real-time insights to business leaders and executives. Our team members value one another, our customers, radical transparency, and end-to-end ownership.

You’ll be joining a veteran team with experience at market leaders including Marketo, Oracle, Salesforce, Box, Lattice Engines, and Responsys. People.ai is headquartered in San Francisco, CA and is backed by Silicon Valley’s top investors, including Y-Combinator, Lightspeed Venture Partners, GGV, Index, and Shasta. 

Responsibilities
* You will establish and grow the data science practice at People.ai
* You will define best practice and thought leadership around data science
* You will partner with Customer Success, Product, and Engineering teams to derive requirements and drive results.
* You will execute across development life-cycle: formulation, modeling, evaluation, and deployment of data science features to production
* You will research, evaluate and implement statistical methods to track metrics
* Quick prototyping using frameworks like Python/Spark
* You will stay current on industrial and research trends, positioning, and customer needs.
* You will actively recruit, evaluate, hire, and mentor team members

Requirements
* An advanced degree in a data science related field (e.g., Statistics, Computer Science) or equivalent work experience.
* Proven track record of translating real-world problems into successful data science projects.
* 3+ years of experience in machine learning, predictive modeling, NLP or experiment design
* You have the ability to code in Java or Scala, or Python
* Familiarity with a variety of deployment environments, especially AWS
* Good understanding of SQL language and be able to write programs to extract and transform data from relational databases or other sources such as Hadoop/Hbase.
* Comfortable working with Hadoop and related tools such as hbase, hive, kafka, spark platform etc.
* Experience with data visualization and usage of visualizations to articulate and clarify findings
* Familiarity with Salesforce or other CRM applications a plus.

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What We're Building

People.ai is the AI platform for data-driven sales and marketing, built on a massive graph of business relationships. We give sales leaders a complete picture of sales activities and leverage AI to help them manage their teams based on hard data, rather than assumptions. Marketing teams gain visibility into how their leads move through the funnel after being passed to sales, allowing them to attribute sales activity to the right leads, campaigns, and opportunities. With AI, People.ai is finally bridging the gap between sales and marketing.

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People.ai Team

Oleg Rogynskyy
CEO of People.ai. ex VP Marketing @H2O.ai • CEO & Founder @Semantria (exit in 2014) • Early at @Lexalytics & @Nstein Technologies@Boston University grad
Brittney Hall
Operations @ People.ai, Formerly of Box and Google
Artem Vysotsky
Full stack generalist with entrepreneurial mindset; Over 9 years of software development experience; MSc; CSM;
Andrey Akselrod
CTO @People.ai Founder & CTO @Smartling. Writing great software and drinking great coffee.
Vova Petrov
Backend Developer @People.ai - Former CTO @GillBus - M.S. Math @Taras Shevchenko National University Of Kyiv
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People.ai Investors

Jeff Richards
Partner at GGV Capital, a $3.8 billion venture capital firm focused on the US and China. Formerly 2X entrepreneur and CEO, sold last company to VeriSign (2005).
Nick Bilogorskiy
Founding team member at Cyphort, leading security research. in 2010-11 was chief malware expert and security spokesperson for Facebook. 4 investments per year.
Michael Richard Litt
YC S11 - Founder of Vidyard, Founder of PhoneWreck (top mobile blog), Redwoods Media (video production), Systems Eng (Honours) at U Waterloo.
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