Data Scientist - Ads Product

Bengaluru

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Truecaller

We have identified 184.5 billion unknown calls & helped in blocking 37.8 billion spam calls in 2021. Download the Truecaller app for free today for safer communication!

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Hello, Truecaller is calling you from Bangalore, India! 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 330 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 +350 people from ~35 different nationalities, spread across our headquarters in Stockholm and offices in Bangalore, Mumbai, Gurgaon, Tel Aviv and Nairobi.
  • Backed by some of the most prominent investors in the world such as Sequoia Capital and Kleiner Perkins Caufield & Byers.

We at the Ads Product, are all about making Ads more meaningful & relevant to our users and helping drive marketing objectives for our partners/advertisers. Ads is one of the ways Truecaller monetizes the APP, and thus hold a critical role in driving Truecaller revenues. Our scale boasts about: ~7 BN impressions (globally) per day, thus making Truecaller one of the largest standalone publishers in India and emerging markets like Egypt, North Africa etc.

Mission - The Ads team is responsible for monetizing Truecaller inventory through ads by offering targeted advertising solutions to our demand partners.

Product Features - Display/Video Ads, Audience/Device/Geo/Custom targeting, Roadblocks/CPM/Programmatic.

Responsible for - Building ads solutions and selling our ads offerings to our advertiser partners in India and outside

What do we expect from you 

  • 2+ years experience as a data scientist
  • Knowledge of database modeling and data warehousing principles 
  • Knowledge of SQL, Spark/Pyspark
  • Experience in data modeling on Big Query, Hive, Spark, Hadoop, Kafka ecosystem, stream processing to support the day-to-day work.
  • Extensive experience with analytical and quantitative problem-solving.
  • Experience with common analysis tools such as Jupiter, open source, or commercially available libraries.
  • Expertise in machine learning algorithms focusing on regression, classifications, clustering, probability networks, association rules, deep neural networks, and reinforcement learning.
  • Programming knowledge in at least one language such as Python, Scala in addition to SQL.
  • Ability to excel with challenging tasks with a calm and positive attitude.

What will you work on 

  • Collecting, organizing, analyzing, and interpreting all data and drawing insightful conclusions which enable us to work in a smarter way.
  • Create visual interpretations from data and explain graphs and charts with insightful notes and summaries. 
  • Analyzing user data and assisting product development in finding new innovative ways of presenting and making use of data.
  • Support our management team in identifying, measuring, and following up on key metrics
  • Providing regular, accurate, and comprehensive statistical reports.
  • Providing objective insight and analysis to influence decision making.
  • Ensuring quality of data and actively working on cleaning data to make sure of top notch relevance and accuracy.
  • Actively keep up to date on external market and data research and work towards adding data points from external sources to our own data in order to create a value added analysis.

It would be great if you also have

  • Experience with microservices architecture and design patterns and SOLID design principles.
  • Hands-on experience in building large scale platforms & services using Scala, Play, Redis, Kafka & Nosql stores.
  • Experience with GCP or any other public cloud.
  • Good English skills, oral and written

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

This position is based in Bangalore, India. 

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, excellent medical, accident and life-term insurance, Udemy membership to keep learning and improving, and flexible working hours. 
  • Great tech tools: We ensure that you have winning tech tools and resources to thrive and succeed in your role. 
  • Office life: Enjoy your days with a wide range of yummy snacks and beverages. As well, exciting company parties and team activities such as Football, Lab days, Running team, or 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.

 

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile Architecture BigQuery Clustering Data Warehousing Excel GCP Hadoop Kafka Machine Learning Microservices NoSQL Open Source PySpark Python Reinforcement Learning Research Scala Spark SQL Statistics

Perks/benefits: Competitive pay Flex hours Snacks / Drinks Team events

Region: Asia/Pacific
Country: India
Job stats:  26  9  0

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