Data Science Engineer

NAVVYASA CONSULTING PRIVATE LIMITED; Gurugram District; On-site; INR 1,000,000 - 2,000,000; Full time

Benefits offered by this job

Opportunity to work with a fast-growing SaaS company

Dynamic environment impacting product growth

Career growth in advanced data science and AI

Job summary

A fast-growing SaaS company in Gurugram is seeking a skilled Data Science Engineer with over 5 years of experience. The role involves working on data pipelines, building machine learning models, and collaborating across teams. The ideal candidate should have strong skills in Python, SQL, and ML frameworks, along with experience in big data technologies and cloud platforms. This position offers career growth in data science and product engineering.

Qualifications

• 5+ years of experience as a Data Science Engineer / Machine Learning Engineer.
• Strong proficiency in Python, SQL, and ML frameworks.
• Hands-on experience with big data technologies and cloud platforms.
• Deep understanding of statistical modeling, data mining, and predictive analytics.
• Experience with data pipelines and workflow orchestration tools.
• Strong problem-solving skills and communication abilities.

Responsibilities

• Design, develop, and maintain data pipelines and ETL processes.
• Build, train, and deploy machine learning models.
• Collaborate with teams to translate requirements into solutions.
• Perform statistical analysis, predictive modeling, and A/B testing.
• Ensure data accuracy, quality, and governance.
• Monitor model performance and improve algorithms.
• Document processes, models, and best practices.

Skills

Python

SQL

Machine Learning frameworks (TensorFlow, PyTorch, Scikit-learn)

Big Data technologies (Spark, Hadoop, Kafka)

Cloud platforms (AWS, GCP, Azure)

Statistical modeling

Predictive analytics

Data pipelines and workflow orchestration tools (Airflow, Luigi, Prefect)

Tools

MLflow

Kubeflow

Docker

Kubernetes

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.