Data Scientist

Hej, Truecaller is calling you from Stockholm, Sweden! Ready to pick up?

Truecaller transformed how we communicate when we launched in 2009 in Stockholm, Sweden.

Our mission is to build trust everywhere by making tomorrow’s communication smarter, safer, and more efficient. We focus on bringing smart services with big social impacts, like protecting people from fraud, harassment, and scam calls or messages. We identify new numbers from anywhere in the world and build a space for trustworthy conversations, for those that matter. Truecaller is loved by over 350 million people around the world and is growing very rapidly across regions.

Who we are:

• The world’s #1 caller ID and spam-blocking service for Android and iOS.
• A team of 400 people from ~35 different nationalities, spread across our headquarters in Stockholm and offices in Bangalore, Mumbai, Gurgaon, Tel Aviv, and Nairobi.
• Listed On Nasdaq OMX Stockholm, Large Cap

As a Data Scientist, you will support our product teams and our leadership with insights gained from analyzing company data. Work with large data sets to find opportunities for product and process optimization and use models to test the effectiveness of different courses of action.

What do we expect from you

• 3 + years of industry experience in a Data Scientist position or a relevant field
• Advanced experience using Python
• Advanced experience using Spark
• Advanced expertise in analytical and quantitative problem solving
• Experience with data warehousing principles with solid knowledge of SQL
• Experience with data analytics, data wrangling, and visualization tools
• Knowledge about machine learning and statistical methods for predictive modeling
• A passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
• Excellent communication and presentation skills in English

What will you work on

• Collect large amounts of raw input data and convert them into insights, actions, and outcomes
• Employ data-driven techniques to solve business-related issues
• Promote and shape the usage of data, analytics, and ML capabilities in the team and across the organization

It would be great if you also have

• Deep knowledge of Machine Learning and Predictive Modeling
• Machine learning engineering (building ML pipelines, etc.)
• ETL/ELT workflows (Apache Airflow), schedulers, and event-based triggers
• Experience with GCP
• Experience with Spark
• Experience with mobile application ecosystems and technologies

Life at Truecaller - Behind the code:

https://www.instagram.com/lifeattruecaller/

Sounds like your dream job?

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 are excited to hear from you, don’t hesitate to apply!

This position is based in Stockholm, Sweden.

We only accept applications in English

What we offer:

• A smart, talented and agile team: An international team where ~35 nationalities are working together in several locations and time zones with a learning, sharing and fun environment.
• A great compensation package: Competitive salary, 30 days of paid vacation, flexible working hours, private health insurance and pension contribution, Udemy membership to keep learning and improving, gym membership.
• Great tech tools: Pick the computer and phone that you fancy the most within our budget ranges.
• Do it your way: We work in-office on Tuesdays, Wednesdays and Thursdays with flexibility on the other days. You can enjoy 3 weeks working remotely from anywhere you want per year.
• Office life: Enjoy your days with a wide range of yummy snacks and beverages, and have fun at our playroom! As well, exciting company parties and team activities such as Lab days, Running team, Geek lunch!

Come as you are:

Truecaller is diverse, equal and inclusive. We need a wide variety of backgrounds, perspectives, beliefs and experiences in order to keep building our great products. No matter where you are based, which language you speak, your accent, race, religion, color, nationality, gender, sexual orientation, age, marital status, etc. All those things make you who you are, and that’s why we would love to meet you.