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Senior Data Scientist

IndiaIndia
Full-time
Best-in-class salary: We hire strong talent and compensate accordingly.
Senior-Level

Job Description

Key Skills Required

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SQLBestseller 🔥
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Machine LearningBestseller 🔥
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PythonBestseller 🔥
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AWSData Scientist

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The Role

We’re seeking a highly skilled, execution-focused Senior Data Scientist with a minimum of 5 years of experience. This role demands hands-on expertise in building, deploying, and optimizing machine learning models at scale, while working with big data technologies and modern cloud platforms. You will be responsible for driving data-driven solutions from experimentation to production, leveraging advanced tools and frameworks across Python, SQL, Spark, and AWS. The role requires strong technical depth, problem-solving ability, and ownership in delivering business impact through data science.

  • Design, build, and deploy scalable machine learning models into production systems.
  • Develop advanced analytics and predictive models using Python, SQL, and popular ML/DL frameworks (Pandas, Scikit-learn, TensorFlow, PyTorch).
  • Leverage Databricks, Apache Spark, and Hadoop for large-scale data processing and model training.
  • Implement workflows and pipelines using Airflow and AWS EMR for automation and orchestration.
  • Collaborate with engineering teams to integrate models into cloud-based applications on AWS.
  • Optimize query performance, storage usage, and data pipelines for efficiency.
  • Conduct end-to-end experiments, including data preprocessing, feature engineering, model training, validation, and deployment.
  • Drive initiatives independently with high ownership and accountability.
  • Stay up to date with industry best practices in machine learning, big data, and cloud-native deployments.

Requirements

  • Minimum 5 years of experience in Data Science or Applied Machine Learning.
  • Strong proficiency in Python, SQL, and ML libraries (Pandas, Scikit-learn, TensorFlow, PyTorch).
  • Proven expertise in deploying ML models into production systems.
  • Experience with big data platforms (Hadoop, Spark) and distributed data processing.
  • Hands-on experience with Databricks, Airflow, and AWS EMR.
  • Strong knowledge of AWS cloud services (S3, Lambda, SageMaker, EC2, etc.).
  • Solid understanding of query optimization, storage systems, and data pipelines.
  • Excellent problem-solving skills, with the ability to design scalable solutions.
  • Strong communication and collaboration skills to work in cross-functional teams.

Benefits

  • Best-in-class salary: We hire strong talent and compensate accordingly.
  • Proximity Talks: Meet and learn from designers, engineers, product leaders, and AI practitioners.
  • Continuous learning: Work with a world-class team and stay close to the latest in AI, engineering, and product development.
  • High-impact work: Build AI-first systems and products used at scale by global clients.

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