Senior Product Data Scientist

Remote (Americas)

Applications have closed

r2c

Semgrep is a fast, open source static analysis tool for finding bugs, detecting vulnerabilities in third-party dependencies, and enforcing code standards. Start scanning for free!

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About r2c
Our mission is to make world-class software security available to everyone. This means building program analysis tools that are open source, easy to use, powerful, and fast. It also means building a team with security expertise and a passion for great developer experiences. Most of all, it means working with honesty and respect in a diverse community of dreamers and builders. We’ve redefined static analysis tooling by committing to all of these, and turned our project, Semgrep, into an essential safeguard for code at Snowflake, Dropbox, and more.
About the role
You will be one of the first product data scientists on the team, helping to shape its future direction. Your mission will be to help product and internal teams understand how to utilize our data and develop the vision for unified product metrics. You will work on a diverse set of problems, touching every aspect of the startup: extracting product insights from usage metrics, determining business strategy from market data, crafting production data pipelines, and helping drive business intelligence.
Along the way, you will work with a dedicated group of full-stack, backend, and infrastructure engineers, as well as security researchers and program-analysis developers. You will learn what it means to have “secure-by-default” code. You will meet and collaborate with security-industry scions. And, as a member of our team, you’ll be a part of the decisions that make a high-growth startup successful. Your work will be critical to our mission. Every feature you build will have a measurable impact on our users’ lives. We’re excited to see what you do.

What you'll do

  • Bring your wide knowledge of analytics and statistics to each problem you solve: one day applying simple regression, another day heuristics, up through advanced statistical techniques and causal inference
  • Iteratively tackle problems as a series of experiments, proving the value of your work with proof-of-concept to ever more refined results
  • Help drive and design best practices around data
  • Convince your peers and internal customers of your conclusions with clear data visualizations and well-reasoned explanation

You are ideal for this role if you have

  • 3+ years of experience in data science product analytics or business intelligence roles
  • Knowledge of analytics approaches - good foundational knowledge of statistics, A/B testing, experimental design, etc.
  • Experience clearly visualizing information and experimental results
  • Proficiency in Python, SQL
  • Sufficient familiarity with production data-processing pipelines to construct them working together with generalist infrastructure engineers; tools we use include EMR, Snowflake, Argo Workflows, S3, and Elasticsearch
  • Aptitude delivering technical projects via rapid iterative development
  • Excellent, proactive communication, both verbal and written
  • Masters/PhD in a technical field

Some example projects that you might work on include

  • Construct robust measures of product feature utilization and propose experiments/future avenues for product development
  • Recruit varied and disjoint data into a “North Star” metric for the performance of the Semgrep open-source tool over time
  • Develop models to deeply understand the product funnel and user churn
  • Run A/B tests to measure the impact of new product features
What we offer
Our goal is to competitively and fairly compensate every r2cer with a system that equally rewards those who are vocal and those who are less comfortable making demands during the final steps of the hiring process. To that end, we generate internal compensation bands that are used when discussing and negotiating salaries. We update these based on market data to make sure they’re above the average for comparable roles.
We also invest in our employees’ well-being and long term success with comprehensive health plans, generous vacation time, learning stipends, and more. Our benefits are for everyone, so that you’re taken care of, and we work with individuals to make sure they have what they need, whether that’s quiet work space, adjusted hours, or any other accommodation.
Who we are
We have people from France and the Philippines, physics and philosophy, formal methods research and full fledged corporations. We’re new parents and new grads, aspiring authors and adrenaline addicts, dog lovers and dogfooders. We get together often to bike, bake, and meet up in parks. In our interactions, we believe respect and honesty go hand in hand, and prioritize both.
r2c is an equal-opportunity employer seeking a diverse range of backgrounds. We value who you are — including your cultural heritage, your socioeconomic status, your age, your race, your gender, your sexual orientation, your disabilities. We value what’s vitally important to you — your family, your religion, your politics. We value what you love in this world — your music, your weekend pursuits. We believe in welcoming varied professional backgrounds, educations, and interests. If you’re exceptional in your role, believe in r2c’s mission, and treat r2c’s values as your own, you belong here.
You will need working proficiency and communication skills in verbal and written English. We work as a hybrid on-site / remote organization. r2c primarily works in the Pacific, Eastern, and Central EU time zones.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: A/B testing Business Intelligence Causal inference Data pipelines Elasticsearch Open Source PhD Physics Pipelines Python Research Security Snowflake SQL Statistics Testing

Perks/benefits: Career development Health care Startup environment

Regions: Remote/Anywhere North America South America
Job stats:  31  10  0

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