Senior Data Scientist

Truecaller's mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and here’s why we stand out:

• We are trusted by over 450 million active users every month across 190+ countries
• We identify over 15 billion calls daily, helping users avoid spam and scams
• We are powered by a team of 450+ employees from 45+ nationalities

We always look for people who take initiative, own their work, and keep raising the bar. An entrepreneurial mindset matters here, especially when it turns bold ideas into real actions. We stay collaborative and focused, always searching for smarter paths forward. If you want to make an impact and grow with a team that inspires millions, you’ll fit right in.

• Exploring the problem space and finding data science solutions that provide step increases in customer experience
• Planning data science work for the team, with an emphasis on collaboration to achieve common goals
• Gathering, collating, and understanding the data necessary to create data science products that delight the customers
• Collaborating with stakeholders throughout Truecaller to find and build data science products that solve business and customer problems at scale.
• Coaching and mentoring junior to senior data scientists to improve their technical skills and productivity

• Bachelor's or Master's degree in Data Science, Machine Learning, Computer Science, Statistics, Mathematics, or a related field.
• At least 5 years of experience in using data science and machine learning to solve real-world problems
• Excellent programming skills in Python and SQL
• Solid understanding and experience with the tooling for Python - IDEs, unit testing frameworks, and static code checks
• Excellent communication and interpersonal skills, with the ability to present complex data and insights to non-technical stakeholders
• Strong problem-solving skills and a results-oriented mindset
• Customer obsession
• Able to own and drive projects and products to production and iteratively improve them over time

• Understanding how to query very large data efficiently (we use BigQuery)
• Experience collaborating with C-suite executives
• Experience with data from mobile applications
• Experience with data visualization and reporting tools, such as Tableau, Looker, or Power BI (we use Looker)
• A solid understanding of the engineering requirements necessary to put machine learning solutions into production and scale them to hundreds of millions of customers

We will fill the position as soon as we find the right candidate, so please send your application as soon as possible. As part of the recruitment process, we will conduct a background check.

We only accept applications in English.