Head of Data Science / Machine Learning

At Instawork, we’re driven by our vision to create economic opportunity for local businesses and skilled hourly professionals  in communities around the world. With a growing number of hub cities across the world in the U.S., Canada, India, and beyond, we’re looking for top talent to help rapidly scale our high-tech and high-touch labor marketplace. Our accomplished and dedicated team is passionate about our mission and committed to crafting revolutionary products, all with the backing of our world-class investors, including Benchmark, Spark Capital, Craft Ventures, Greylock Capital, Y Combinator, and more!

We need an innovative and hands-on Head of Data Science / Machine Learning to join our growing team. Our goal is to create economic opportunity for businesses and local professionals globally. We believe AI and machine learning will be key factors across our products and company in accelerating our mission.

Who You Are

• BA/BS in Math, Statistics, Physics, Computer Science, or other quantitative fields
• Advanced degrees preferred but not required, e.g. PhD or Masters Physics, CS, Stats, etc.
• 12-15+ years experience doing quantitative analysis, modeling and pushing ML into production
• Entrepreneurial mindset with a mix of startup and large scale experience, bonus points for being a co-founder
• Advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, or similar) and experience with applications
• Deep understanding of machine learning techniques (clustering, decision tree learning, artificial neural networks, or similar) and their real-world advantages/drawbacks
• Strong communication and presentation skills with a natural executive presence
• Past experience acting as a technical lead or manager of small-to-medium sized teams
• Expert level fluency using languages like Python & SQL to manipulate data and draw insights from large data sets
• Working knowledge of common web/mobile architectures, data pipelines, CI/CD processes, etc.
• Strong understanding of DBT or other similar data transformation/organization methodologies
• Strong understanding of the dynamics around two-sided marketplaces and/or other complex business models, with an emphasis on product acumen
• Experience with BI tools (e.g. Mode, Tableau, Looker)

What You'll Do

• Lead a small team of ML engineers and eventually grow a global team over the coming months and years
• Spend 70% of your time hands-on (building/integrating new models) and 30% of your time defining our ML strategy and managing the team
• Optimize the team for speed and impact over patience and precision
• Own a portfolio of proprietary and third party platforms needed for day-to-day execution like MLOps, experimentation systems, and data transformation pipelines (DBT)
• Deliver best-in-class technical approach and problem analysis documents
• Impact key company objectives by working closely with Product to refine our roadmap
• Build/maintain reports, dashboards, and metrics to monitor the performance of our products
• Act as a data evangelist to create a data-driven culture across the company and provide mentorship/feedback to analysts and other data-minded stakeholders

For  CA  based applicants:

The base salary for this position is $230,000 - $265,000

This position is eligible for equity in the form of stock options

This position is eligible for Instawork benefits, including

• A variety of medical, dental, and vision plans with coverage beginning on the date of hire
• Flexible paid time off
• At least 8 paid company holidays annually
• Home office stipend
• Phone stipend
• Commuter stipend
• Supplemental pay on qualified leaves
• Employee health savings accounts (HSA) contribution
• Flexible spending plans
• 401K plan
• Perkspot - discount program through Lumity

A variety of factors are considered when determining someone’s compensation including a candidate’s professional background, experience, and location.  Final offer amounts may vary from the amounts listed ab