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Job Description
Truecallers mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and heres 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
The role:
As a Staff Data Scientist, you will be responsible for collecting, organizing, analyzing, and interpreting Truecaller data and drawing insightful conclusions with the aim of enhancing BUs road map, business plan, and customer experience. You will possess a proactive mindset in tackling novel business problems, leveraging advanced analytical techniques and tools to extract valuable insights from large and complex datasets.
You exhibit a strong inclination towards data exploration and hypothesis testing, with a focus on continuously improving the accuracy and efficiency of analytical models. You 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 BUs product improvement, strategy building, and management team by identifying and communicating data insight
What youll do:
- Applying cutting-edge machine learning algorithms and statistical models to uncover meaningful insights from large and complex datasets.
- Constructing predictive models that utilize historical data to forecast trends and anticipate future outcomes with accuracy and precision.
- 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.
- Collaborating with other BUs to identify business problems and develop data-driven solutions.
- 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.
- 10+ years of experience in Data Science OR relevant PhD + 1 years of industry experience.
- Data science background in digital advertising, marketing analytics, or ad-tech.
- Knowledge of machine learning algorithms focusing on regression, classifications, clustering, probability networks, association rules, deep neural networks, and reinforcement learning.
- Extensive experience with analytical and quantitative problem-solving.
- Experience with common analysis tools such as jupyter, open source or commercially available libraries.
- Programming knowledge in at least one language such as Python , along with excellent SQL skills.
- Hands-on experience with Python data science libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, and Matplotlib/Seaborn etc.
- Familiarity with ML lifecycle management tools such as Kubeflow and MLflow is a strong plus.
- Experience in data modeling on Big Query, Hive/Spark/Hadoop/Kafka ecosystem.
- Knowledge of database modeling and data warehousing principles
- Familiarity with Google Cloud Platform (GCP) and BigQuery will be a strong plus.
- Experience with data science best practices, design patterns, and SOLID principles.
- Hands-on experience in building large scale platforms & services using Scala, Kafka & Nosql stores.
Looking to get Placed? Try our Placement Guarantee Plan
- Experience with GCP or any other public cloud.
- Good English skills, oral and written
We support growth through learning resources, leadership programs, mentoring, and real hands-on work. People can move between teams and projects to build new skills and keep things interesting. We offer clear internal mobility and a transparent path for progression, with leaders who stay involved and provide guidance throughout the year. In addition, you will benefit from:
- A comprehensive compensation package: Learning and development allowance, voluntary provident fund (VPF) and/or national pension scheme (NPS) tax saving option provided, creche allowance
- Modern tools to do your best work: Choose your preferred computer and phone within our budget, so you can work comfortably and efficiently.
- A people-focused office culture: We value in-person collaboration and follow an office-first model, with some flexibility. Our offices offer a vibrant environment with opportunities to learn, connect, and recharge, from breakfast, lunch and quiet spaces to team activities such as movie nights, tech meetups, and cultural events. Theres something for everyone.
- Truecallers Lab Days offer a space for imagination: 5 days each quarter, where everyone steps away from their normal tasks to explore new, bold ideas and build things theyve always wanted to. Its a space where curiosity leads the way, and prototypes take shape. Some concepts even make it into production, and a few have grown into real features used by millions today. Lab Days allow you to be creative, learn fast, and help shape Truecallers future.
Truecaller is committed to building a diverse and inclusive team. We believe that a wide range of backgrounds, perspectives, and experiences strengthens our products and our culture. No matter where youre from, what language you speak, or how you identify, we value what makes you unique and would love to get to know you.
Sounds like a great opportunity
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.
Skills
PythonData ModelingData ScienceData WarehousingMachine LearningMarketing AnalyticsData ScientistData InsightAnalyticsBig QueryGoogle CloudMlSqlData ResearchIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
Important dates & deadlines?
Application Deadline
26 May 26, 06:14 PM IST
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