Data Scientist

About Truecaller

Remember the days when the phone rang and you didn’t know who it was? If it was the company you always dreamt working for? A call from a hospital trying to tell you someone close to you got sick? Or just that stubborn sales guy.

Our mission is to make it possible for you to know who’s trying to contact you, and also tell you when not to pick up. We want to remove all uncertainty, making your communication safe and efficient by separating the meaningful stuff from the noise and build trust, no matter if it’s in the beginning of a call, in the middle of a transaction or at the end of a signature. We are building a platform which empowers our users to take control of their own digital identity and making their communication more safe and efficient.

Today we see a new world. Something bigger than just knowing phone numbers. Technology making life easier is great, but infinite connectivity is creating infinite complexity, putting up new forms of trust barriers. And mutual trust is the very foundation for friendship, business relationships or for just being a good neighbor.

We are committed to building that trust everywhere by making communication safe and efficient. No matter if it’s in the beginning of a call, in the middle of a transaction or at the end of a signature.

Position

As a Data Scientist, you will execute large-scale, global and insightful research to understand and propel user experiences and their journeys. You will take a central role in formulating problem statements, designing and developing scalable solutions accompanied by extensive A/B Testing, with the aim of enhancing the product roadmap, customer experience and business strategy. You will also act as an advisor to the Product Forum and Management Team by identifying and communicating important data insights.

What will you work on?

• Extract, transform, augment and interpret unstructured and structured data, analyse and draw insightful conclusions to enable data-driven product enhancements
• Work with large, complex data sets, solve difficult and non-routine analysis problems
• Create and interpret visual representations of data accompanied by insightful summaries
• Apply advanced statistical analysis and machine learning techniques wherever possible, to solve various problems and improve current techniques
• Collaborate with cross-functional product and engineering teams
• Build and test analyses pipelines iteratively, to provide insights at scale
• Provide valuable business recommendations, forecasting and executing experiment analysis
• Support the business strategy in identifying, measuring and following up on key metrics
• Work on proactively updating own knowledge on external market and data research, recognising sources that procure value-added analysis

Your qualification

• 3+ years experience in Data Scientist position or relevant filed
• Experience with database modelling and data warehousing principles with a strong and advanced knowledge of SQL
• Extensive experience in analytical and quantitative problem solving
• Adept and thorough understanding of statistical fundamentals and concepts
• Good knowledge of data mining algorithms, regression, bagging, boosting, supervised & unsupervised learning, probability networks, association rules & clustering
• Experience with analysis tools, open-source or commercially available libraries and toolsets
• Excellent communication and presentation skills

Will be a plus

It would be great if you also:

• Have been working with mobile applications with international products
• Have knowledge in big data, especially in cloud services (such as GCP)
• Have experience with Scala and/or Python
• Have worked with Big Query, Spark, stream processing

What we offer

• International teams, 25+ nationalities work together!
• Learning & sharing environment
• Exciting company parties & team activities – Running team, Geek lunch!
• Flexible working hours
• Start the day properly with fresh fruit and cereals
• Stay refreshed: get juice, tea, coffee and soft drinks
• Competitive salary
• Medical insurance
• This position is based in Stockholm, Sweden. Full visa sponsorship and relocation assistance available for eligible candidates