Senior Data Scientist - Ads

Truecaller

5 - 10 years

7 - 12 Lacs

bengaluru

Posted:4 hours ago| Platform:

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Skills Required

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Work Mode

Work from Office

Job Type

Full Time

Job Description

5+years of experience in Data Science OR relevant PhD + 1 years of industry experience.
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

The impact you will create:

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.

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