Working at RippleMatch:

At RippleMatch, we build technology to make early-career hiring more effective while increasing access to opportunity. Figuring out where to begin your career is a difficult and overwhelming decision. Traditional career services and job boards with millions of postings aren't very helpful. It's also not a fair contest. For many students, opportunity is limited based on where they attend school and their personal networks. RippleMatch is changing this. Our platform is a two-sided marketplace — on one side, we help early-career candidates from around the country discover job opportunities that match their skills and interests without effort. On the other side, RippleMatch helps hundreds of employers like Amazon, eBay, and Teach for America hire top talent virtually and build diverse teams.

Our product leverages automation and intelligent workflows to make finding your dream job or hiring the right candidate easier, faster, and more equitable than ever before. Since launching RippleMatch from a college dorm room in 2016, we've raised $34 million in venture funding, helped tens of thousands of users find jobs, expanded to 1,300+ colleges & universities, and brought on hundreds of leading employers as customers. Our tight-knit team of 80+ (& growing!) talented people work hard, celebrate wins, and care deeply about changing the way finding a job works.

The Role: 

We are looking for a Data Scientist to join our highly collaborative research and development team. We are looking for someone who is mission-driven, can wear many hats, and is excited about leading our data science efforts. In addition to working closely with the product, you will work closely with engineers, teaching and learning from each other as much as possible. You will also work closely with QA and Product Management to participate in and shape our Agile processes. 

Our team is composed of empathetic and hard-working individuals that care deeply about our mission and building the highest quality product we can build. The team enjoys and excels at mentoring and learning from each other. In general, we value collaboration, communication, and a “no job too small" attitude.

We encourage our team members to pair frequently. We host weekly guilds around various technical topics to share knowledge across the team where all members are encouraged to propose and lead workshops whenever possible! We are a remote first team, but have plenty of team events - from wine tastings, magic shows, and chess club we work hard and have fun.

Tech stack:

Python, Pandas, SciKit, PostgreSQL, SqlAlchemy, AWS, Kubernetes, Docker, DataDog, Sentry, TypeScript, VueJs, Github Actions, Selenium, Jest, Pytest, and more!

Who you are:

• You can communicate complex ideas in a clear and actionable way
• You can visualize data in a way that is effective and easy to understand
• You have a “no job is too big, and no job is too small” attitude
• You own your mistakes, and share your successes
• You are highly collaborative, and love working with others
• You come up with creative solutions to complex problems
• You are curious, and proactively fill gaps in your knowledge
• You care deeply about the mission of RippleMatch

What we are looking for:

• Deep intellectual curiosity and passion for data science
• Python (Pandas and SciKit) experience
• Experience with Machine Learning and AI
• Experience with relational databases (PostgreSQL)
• Highly collaborative working style 
• Excellence at trade-off analysis
• Strong proficiency in statistical analysis
• Quick learner
• Strong emotional intelligence and communication skills
• Attention to detail

Preferred Qualifications:

• 4+ years of Data Science experience
• Experience with assessing the trade-offs of different machine learning models
• Experience working closely with engineering team to drive technical decisions
• Experience working at a start-up
• Experience working directly with management

Culture & Perks:

At RippleMatch, we understand that our success stems from the people we have on board, which is why we invest heavily in our team’s well-being and growth. We offer a full slate of perks including equity, paid vacation, a pre-tax commuter program, discounted Citi Bike and Class Pass memberships, and — our favorite thing — comprehensive FREE healthcare benefits. We work hard to foster a culture of constant self-improvement, true ownership, and positivity. At our core, we are a tight-knit team that works hard, celebrates wins, and cares deeply about changing the way finding a job works. We are going to fundamentally transform the hiring landscape and won’t settle for anything less.

RippleMatch is a remote-first company. We believe in helping to shape the future of work and creating accessibility to a great working environment for all, regardless of location. This means that all of our openings can be worked remotely. Our physical office is conveniently located near Union Square in New York City and all employees keep Eastern hours regardless of where they are based. All RippleMatch employees are encouraged to work remotely or come into the office as much as they want or not at all. To ensure the health and safety of our team, RippleMatch does require proof of vaccination for all employees.

We believe in maintaining a culture that can cut across distance to suit our employees who choose to be remote as well as those who prefer to come in office. We host monthly virtual events as well as monthly in-person events, team-wide virtual activities every month like Wellness Challenges, and a time to hear from our founders regularly regardless of location. Creating strong bonds between RippleMatch team members means a lot to us and, while we know that this can be done remotely, we also invest heavily in creating opportunities to make sure remote employees get plenty of in-person time. We offer in-person onboarding, travel benefits and virtual team building activities like the ones above!

RippleMatch is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran or disabled status, or genetic information.