Data Scientist

Full-time

Job Description

Why should I Apply:

At Sonar, we’re a group of brilliant, motivated, and driven professionals working hard to help organizations build responsible, secure, high-quality code quickly and systematically. We build solutions that don’t just solve symptoms of problems – we fix problems at the source – source code, to be specific.

We have a dynamic culture with employees worldwide and hub offices in the USA, Switzerland, the UK, Singapore, and Germany. We believe team members should have the opportunity to come to work every day, work on a product they are proud of, love what they do, and feel energized by their peers. With our roots deep in the open source community, we’re all about the mission: provide solutions that deliver Clean Code.

The Impact You Will Have:

As a member of the Product Data team, you will support our Product-led Growth (PLG) team and use data to understand how people use our products. You will work closely with the Product-led Growth team on insights coming from our cloud and on-premises product, formulate metrics and find ways to improve the user experience. Your analysis will directly help us make the product better, get more users, and keep them engaged.

What You Will Do Daily:

Put in place PLG recurrent analytics, including defining the key metrics related to customer success and developing the corresponding tools (e.g. dashboards) for regular monitoring.

Analyze user behavior to understand how they sign up, use features, and why they stay or leave.

Identify main areas of opportunity (e.g. points of new user drop-off)

Use SQL and Python to work with datasets from our product.

Build and manage dashboards in Tableau to track important metrics for the team.

Use product analytics tools to find opportunities to improve the product.

Share what you learn from data with the team to help them make better decisions.

The Experience You Will Need:

5 years+ of experience as a Data Scientist

Previous experience in PLG preferred

Strong SQL and Python skills for data analysis (including libraries like Pandas and NumPy).

Experience with product analytics methods like funnel and cohort analysis.

Familiarity with product analytics tools (e.g., Amplitude, Mixpanel, Heap).

Experience building dashboards in Tableau or a similar visualization tool.

Good communication skills and the ability to explain data clearly to different audiences.

Curiosity and an interest in how data can help a product succeed.

Why you will love it here:

• Our culture and mission set us apart. We have a dynamic work culture that values respect and kindness – and embraces the right to fail (and get right back up again!). We believe that the best idea wins and everyone has a voice.

• We believe that great people make a great company. We value people skills as much as technical skills and strive to keep things friendly and laid-back while still being passionate leaders in our domains. Our 550+ SonarSourcers from 33 different nationalities can relate!

• We embrace work-life balance. It is important to maintain a healthy work-life balance. This is why we have a flexible work policy that includes remote and in-office hybrid work (minimum three days a week in the office - Monday/Tuesday/Thursday).

• We have a growth mindset. We love to learn and believe that continuous education is critical to our success. In an ever-changing industry, new skills are a must, and we're happy to help our team acquire them.

We prioritize Diversity, Equity, and Inclusion:

At Sonar, we are a global workforce and recognize the value of different backgrounds, and global cultures.

We are committed to creating a diverse work environment and are proud to be an equal-opportunity employer. All qualified applicants will be considered for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

All offers of employment at Sonar are contingent upon the clear results of a comprehensive background check conducted prior to the start date.

Please note that applications submitted through agencies or third-party recruiters will not be considered.

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