Remote job description

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 the founding scientist for r2c's data team. Your mission will be to define how an entire company uses data, always striving to best improve our users' security. 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 defining where to direct our security research. This is a growth role: while you will start as an individual contributor, you will help grow this team, either by stepping into a management role yourself, or helping us recruit the awesome data-science lead you've always wanted.

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" frontend 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

    • Survey the data questions facing each department at r2c, proactively identifying the most critical areas to focus your efforts
    • Iteratively tackle problems as a series of experiments, proving the value of your work with proof-of-concept to ever more refined results
    • Convince your peers of your conclusions with clear data visualizations and well-reasoned explanation
    • Help grow your team through the recruitment and hiring of top data talent

You are ideal for this role if you have

    • 4+ years of experience in data and strategy fields
    • Knowledge of data-science approaches; this may include machine-learning algorithms, optimization methods or symbolic artificial-intelligence, but should also include statistical methods and "good-enough" heuristics - and the taste to know when to use each
    • Experience clearly visualizing information and experimental results
    • Sufficient familiarity with production data-processing pipelines to construct them working together with generalist infrastructure engineers; tools we use include EMR, Snowflake, S3, and Elasticsearch
    • Aptitude delivering technical projects via rapid iterative development
    • Excellent, proactive communication, both verbal and written

Some example projects that you might work on include

    • Analyze aggregated pseudonymous usage data to recommend the next features built into the Semgrep open-source tool
    • Consume infrastructure observation metrics to identify and address potential Semgrep.dev registry outages before they occur
    • Recruit varied and disjoint data into a "North Star" metric for the performance of the Semgrep open-source tool over time
    • Craft a security-rule-recommendation decision tree, using codebase features like languages, frameworks, code sentiment, and commit-message sentiment, to deliver targeted, high-value static-analysis rules to users
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, 401k matching, 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 aspiring Americans, 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.




Summary
Company name: r2c
Remote job title: Lead Data Scientist
Job tags: algorithms, Artificial Intelligence, Machine Learning
  • location or timezone

  • category

    Data
  • posted

    931 days ago

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