Data Science Engineer

7 days ago

Gurugram, India NAVVYASA CONSULTING PRIVATE LIMITED Full time

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.

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