• Full Time
  • Anywhere

Website Instawork

Instawork’s goal is to be the essential staffing engine for all businesses that support the local workforce. We create flexible opportunities for workers to earn additional income, build new skills, and even test out employers prior to accepting full-time positions. Our vision is to organize the world’s labor force and make it as accessible to local businesses as tap water. Whether it’s a light industrial or hospitality business, the Instawork team builds technology to connect people with what gigs they want.

We need an innovative and hands-on Senior Data Scientist to join our team.  This will be the founding member of our data science practice so it’s an exciting opportunity for someone looking to establish solid foundations for that team.  Our goal is to embed artificial intelligence and machine learning into everything we do in order to create smarter products and enhance the customer experience.

We’re looking for someone who’s comfortable working on interesting growth, engagement, and retention-related problems across our two-sided marketplace using both cutting edge and proven techniques.  You will work on truly unique problems that impact people’s lives and their earning opportunities, e.g. optimizing worker payouts, increasing shift fill rates and improving fraud detection.

We’ve been fortunate to be funded by some of the greatest investors in Silicon Valley: Benchmark (Bill Gurley), Spark Capital (Nabeel Hyatt), Y-Combinator, SV Angel, CrunchFund, and many more. We’re growing rapidly and are expanding across the US.

BA/BS in Math, Statistics, Economics, Computer Science, or other quantitative fields. Advanced degrees preferred but not required, e.g. PhD or Masters Physics, CS, Stats, etc.
5+ years experience doing quantitative analysis
Expert level fluency using statistical computer languages (R, Python, SQL, or similar) to manipulate data and draw insights from large data sets
Advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, or similar) and experience with applications
Ability to initiate and drive projects to completion with minimal guidance
Machine learning techniques (clustering, decision tree learning, artificial neural networks, or similar) and their real-world advantages/drawbacks
Experience with BI tools (e.g. Mode, Chartio, or Tableau)
Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our products
Impact key company objectives by working closely with product managers to refine our data science roadmap
Inform, influence, support, and execute our product decisions
Build/maintain reports, dashboards, and metrics to monitor the performance of our products
Mine massive amounts of data and extract useful product insights
Manage development of data resources, gather requirements, organize sources, and support product launches
Act as a data evangelist to create a data-driven culture across the company

To apply for this job please visit jobs.lever.co.