FamPay

Lead Data Scientist

FamPay

full-time

Posted on:

Origin:  • 🇮🇳 India

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Job Level

Senior

Tech Stack

Amazon RedshiftAWSAzureBigQueryCloudETLGoogle Cloud PlatformHadoopNoSQLPandasPythonPyTorchScikit-LearnSparkSQLTensorflow

About the role

  • Build and deploy machine learning models to solve complex business problems related to user behaviour, transactions, fraud detection, and more.
  • Analyze large and complex datasets to uncover actionable insights and trends that inform business decisions.
  • Collaborate with engineering, product, and business teams to understand requirements, define, prioritize and deliver on data science solutions.
  • Ensure the quality, accuracy, and scalability of models and analyses by applying best practices in data science and software engineering.
  • Communicate findings effectively to both technical and non-technical stakeholders through clear visualizations and reports.
  • Mentor and lead junior data scientists and promote a data-driven culture within the team.

Requirements

  • 8+ years of experience in data science, with a strong background in machine learning, statistics, and data analysis.
  • Expertise in programming languages such as Python or R, and experience with libraries like Pandas/Polars, Scikit-learn, TensorFlow, PyTorch etc.
  • Solid understanding of data wrangling, data visualisation, and exploratory data analysis.
  • Experience with statistical modeling, time series forecasting, and anomaly detection.
  • Strong knowledge of databases (SQL, NoSQL) and distributed data processing tools (Spark, Hadoop).
  • Proven track record of applying machine learning techniques to real-world business problems in a fast-paced environment.
  • Excellent communication skills and the ability to translate complex data insights into clear, actionable recommendations for business teams.