Data Science Specialist

Sonata Software; Bengaluru; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

A leading software company in Bengaluru is seeking a Data Science Engineer with 3-8 years of experience. The role involves designing and deploying scalable data science solutions, developing machine learning models, and collaborating with cross-functional teams. An ideal candidate should hold a Bachelor's or Master's degree in a relevant field and possess strong skills in SQL and data warehousing. This is a full-time position that promises a dynamic working environment.

Qualifications

• 3-8 years of experience in data science or related field.
• Experience in building ETL/ELT pipelines.
• Proficient in developing and deploying ML models.

Responsibilities

• Design and deploy scalable data science solutions.
• Develop ML models and perform EDA.
• Collaborate with cross-functional teams.
• Deploy models using cloud technologies and monitor performance.
• Integrate models with BI tools and maintain data drift detection.

Skills

SQL & Data Warehouses

Education

Bachelor’s/Master’s in CS, Data Science, Stats, or related field

Tools

Snowflake

BigQuery

Docker

Kubernetes

AWS

Azure

GCP

Terraform

FastAPI

Job description

Data Science Engineer

About Sonata Software

In today's market, we observe a distinct duality in technology adoption. On one front, clients are keenly focused on cost containment, while on the other, there is a strong drive to modernize their digital storefronts, aiming to appeal to both consumers and B2B customers alike. As a leading Modernization Engineering company, we aim to deliver modernization-driven hypergrowth for our clients based on the deep differentiation we have created in Modernization Engineering, powered by our Lightening suite and 16-step Platformation playbook. In addition, we bring agility and systems thinking to accelerate time to market for our clients. Headquartered in Bengaluru, India, Sonata Software has a strong global presence, with strategic operations spanning across key regions such as the US, UK, Europe, APAC, and ANZ. We are a trusted partner of world-leading companies in TMT (Telecom, Media, and Technology), Retail & CPG, Manufacturing, BFSI (Banking, Financial Services and Insurance), and HLS (Healthcare and Lifesciences). Our bouquet of Modernization Engineering services cuts across Cloud, Data, Dynamics, Contact Centers, and around newer technologies like Ge.

Job Title: Data Science Engineer

Experience: 3–8 years

Role Summary: Design and deploy scalable data science solutions that drive insights and automation. This role blends data engineering, ML, and MLOps to ensure robust model development and deployment.

Key Responsibilities

• Data Engineering: Build ETL/ELT pipelines, reusable feature components, and collaborate on data quality.
• Modeling: Develop ML models (classification, regression, NLP, GenAI), perform EDA, and optimize for production.
• MLOps: Deploy models using Docker/Kubernetes/cloud (AWS, Azure, GCP), implement CI/CD, and monitor performance.
• Integration: Expose models via APIs, integrate with BI tools, and maintain drift detection systems.
• Collaboration: Work with cross-functional teams, contribute to AI/ML CoE, and explore LLMs, RAG, and GenAI.

Required Skills

• SQL & Data Warehouses (Snowflake, BigQuery, etc.)

Nice to Have

• API development (FastAPI), DevOps tools (Terraform)
• Certifications (AWS/Azure ML, Microsoft Data Scientist)

Education: Bachelor’s/Master’s in CS, Data Science, Stats, or related field

Soft Skills: Analytical mindset, clear communication, team player, attention to detail

Seniority Level

• Seniority level: Mid-Senior level

Employment Type

• Employment type: Full-time

Job Function

• Job function: Information Technology
• Industries: IT Services and IT Consulting

Location: Bengaluru, Karnataka, India