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Urgent! Data Science Engineer Position in Gurugram - NAVVYASA CONSULTING PRIVATE LIMITED

Data Science Engineer



Job description

About the Role

We are seeking a highly skilled Data Science Engineer with 5+ years of experience to join our client’s fast-growing SaaS business.

The ideal candidate will work at the intersection of data engineering, machine learning, and product development , building scalable data solutions that power business decisions and enhance product performance.

Key Responsibilities

  • Design, develop, and maintain data pipelines and ETL processes for large-scale data.

  • Build, train, and deploy machine learning models to solve business problems and optimize SaaS product features.

  • Collaborate with product, engineering, and business teams to translate requirements into data-driven solutions.

  • Perform statistical analysis, predictive modeling, and A/B testing to generate insights.

  • Ensure data accuracy, quality, and governance across all systems.

  • Implement and optimize data storage, retrieval, and real-time processing solutions.

  • Monitor model performance and continuously improve algorithms.

  • Document processes, models, and best practices for reproducibility.

Key Requirements

  • 5+ years of experience as a Data Science Engineer / Machine Learning Engineer.

  • Strong proficiency in Python, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-learn).

  • Hands-on experience with big data technologies (Spark, Hadoop, Kafka) and cloud platforms (AWS, GCP, Azure).

  • Deep understanding of statistical modeling, data mining, and predictive analytics .

  • Experience with data pipelines and workflow orchestration tools (Airflow, Luigi, Prefect).

  • Strong problem-solving and analytical skills with the ability to work in fast-paced SaaS environments.

  • Excellent communication skills to present findings to both technical and non-technical stakeholders.

Nice to Have

  • Exposure to NLP, recommendation systems, or deep learning applications .

  • Prior experience in scaling SaaS platforms using AI/ML.

  • Familiarity with MLOps tools (MLflow, Kubeflow, Docker, Kubernetes).

What We Offer

  • Opportunity to work with a fast-growing SaaS company at the forefront of innovation.

  • A dynamic environment where your work directly impacts product growth and customer success .

  • Career growth in advanced data science, AI, and product engineering.


Required Skill Profession

Other General



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