Senior Data Scientist
Bengaluru
Applications have closed
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!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 300 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 +300 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, Atomico, and Kleiner Perkins Caufield & Byers.
Enterprise Product at Truecaller focuses on creating new revenue streams for Truecaller through solutions that help businesses in improving the efficiency of their customer communication. With visibility to more than 300M users, Truecaller provides an ideal platform for businesses across the globe to exchange information with their customers.
As a Data Scientist you will be responsible for collecting, organizing, analyzing and interpreting Truecaller data and drawing insightful conclusions with the aim of enhancing BU’s road map, business plan and customer experience. The individual will work in close collaboration with the Product, Engineering and Platform team in order to identify and follow up on metrics, evaluate A/B tests and user behavior and identify product insights. The role requires working both independently and proactively with identifying improvement opportunities as well as being involved in separate projects. The Data Scientist will act as an advisor to the BU's Product improvement, strategy building and Management Team by identifying and communicating data insight.
What do we expect from you?
- 5+ Years Experience in Data Science industry.
- Familiarity with database modelling and data warehousing principles with a working knowledge of SQL, Spark/Pyspark.
- Extensive experience with analytical and quantitative problem solving.
- Experience with common analysis tools such as jupyter, open source or commercially available libraries .
- Ability to excel with challenging tasks with a calm and positive attitude.
- Expert knowledge of machine learning algorithms focusing regression, classifications, clustering, probability networks, association rules, deep neural networks and reinforcement learning.
- Experience from working with mobile applications, web applications and SaaS platform is a great advantage.
- Programming knowledge in at least one language such as Python, Scala in addition to SQL.
What will you work on:
- Collecting, organizing, analyzing and interpreting all data and drawing insightful conclusions from it that enables us to work in a smarter way.
- Create visual interpretations from data and explain graphs and charts with insightful notes and summaries.
- Analyzing users data and assist 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.
- Constantly asking the right but difficult questions on why, what and how and also help us answering those questions.
- 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:
- SaaS platform domain knowledge
- Knowledge of Spark and Scala.
- MLOps
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: A/B testing Agile Data Warehousing Engineering Excel Jupyter Machine Learning MLOps Open Source PySpark Python Research Scala Spark SQL
Perks/benefits: Career development Competitive pay Flex hours Snacks / Drinks Team events
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Marketing Data Analyst jobs
- Open MLOps Engineer jobs
- Open Junior Data Scientist jobs
- Open AI Engineer jobs
- Open Data Engineer II jobs
- Open Senior Data Architect jobs
- Open Sr Data Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Analytics Engineer jobs
- Open Power BI Developer jobs
- Open Manager, Data Engineering jobs
- Open Product Data Analyst jobs
- Open Principal Data Engineer jobs
- Open Business Data Analyst jobs
- Open Data Quality Analyst jobs
- Open Data Manager jobs
- Open Sr. Data Scientist jobs
- Open Data Scientist II jobs
- Open Big Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Data Analyst Intern jobs
- Open Principal Data Scientist jobs
- Open ETL Developer jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open Business Intelligence-related jobs
- Open Data quality-related jobs
- Open Privacy-related jobs
- Open Data management-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open APIs-related jobs
- Open PyTorch-related jobs
- Open PhD-related jobs
- Open Consulting-related jobs
- Open TensorFlow-related jobs
- Open Snowflake-related jobs
- Open NLP-related jobs
- Open Data governance-related jobs
- Open Data warehouse-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open Databricks-related jobs
- Open LLMs-related jobs
- Open DevOps-related jobs
- Open Kubernetes-related jobs