SeniorData Scientist

Quadratyx; Chennai District; On-site; INR 1,800,000 - 3,200,000; Full time

Benefits offered by this job

Equal opportunity employer

Job summary

Quadratyx is seeking a Senior Data Scientist to lead ML/NLP initiatives and deliver data-driven insights for clients. You will design models for recommendations, build scalable ETL pipelines, and collaborate with cross-functional teams to translate business needs into technical solutions.

You will work across data science and engineering domains, ensuring data quality, and presenting findings to both technical and non-technical stakeholders in a fast-paced environment.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Analytics, AI/ML, Data Science, or related field.
• Minimum of 3 to 5 years of experience in Data Science and Data Engineering.
• Experience developing ML models for recommendation systems and NLP projects.
• Experience building and maintaining scalable ETL pipelines and data lakes.

Responsibilities

• Manage client expectations and strategize with stakeholders to meet requirements.
• Develop ML models for recommendations and NLP projects.
• Build and maintain scalable ETL pipelines and data storage solutions.
• Analyze complex datasets to uncover trends and generate actionable insights for clients.

Skills

Python

SQL

LLMs

LangChain

Generative AI

TensorFlow

PyTorch

Spark

Kafka

MLOps

APIs

Education

Bachelor's or Master's in CS/Analytics/AI/ML

Tools

Spark

Kafka

CI/CD

MLOps

Job description

About Quadratyx We are a product-centric insight & automation services company globally. We help the world’s organizations make better & faster decisions using the power of insight & intelligent automation. We build and operationalize their next-gen strategy, through Big Data, Artificial Intelligence, Machine Learning, Unstructured Data Processing and Advanced Analytics. Quadratyx can boast of more extensive experience in data sciences & analytics than most other companies in India. We firmly believe in Excellence Everywhere.

Senior Data Scientist

Job / Role Information

Designation

• Senior Data Scientist

Function

• AI & Data Science Enterprise Delivery

Location:

• Hyderabad / Chennai/ Mumbai

Location:

• 3 to 7 years

Job Description

• This role is responsible for managing the client expectations. Strategize with various stakeholders to meet customer requirements.

Key Requisites

• Data Science: Develop machine learning models to support recommendation systems and NLP projects, and provide actionable insights for product and service optimization.
• Data Engineering: Build and maintain scalable ETL pipelines, optimize data storage solutions (data lakes and columnar formats), and ensure data accuracy for analytics.
• Data Analysis and Insight Generation: Analyze complex datasets to uncover trends and patterns, and generate and present insights that drive strategic decisions and enhance client services.
• Stakeholder Collaboration: Work with product and service teams to understand data needs and translate them into technical solutions.

Working Relationships

Reporting to

• Project Manager / Team Lead

Skills/ Competencies Required

Technical Skills

• Proficiency with Python (Pandas, NumPy) and SQL.
• Experience with LLMs, LangChain, and Generative AI technologies.
• Familiarity with ML frameworks (TensorFlow, PyTorch) and data engineering tools (Spark, Kafka).
• Experience with Microservices, CI/CD, and MLOps.
• Strong data analysis skills and the ability to present findings to both technical and non-technical stakeholders.
• Proficient understanding of key data engineering concepts, including data lakes, columnar formats, ETL tools, and BI tools.
• Knowledge of Machine Learning, NLP, recommender systems, personalization, segmentation, microservices architecture, and API development.
• Ability to adapt to a fast-paced, dynamic work environment and learn new technologies quickly.

Soft Skills

• Work independently and collaboratively as part of a team.
• Excellent written and verbal communication skills.
• Solid critical thinking and analytical questioning skills.
• High degree of flexibility, with a willingness to fill gaps rather than relying on others.
• Strong communication skills, especially in presenting data insights.
• Flexibility, problem-solving ability, and a proactive approach in a fast-paced environment.

Academic Qualifications & Experience Required

Required Educational Qualification & Relevant experience

• Bachelor's or Master's degree in Computer Science, Data Analytics, AI/ML, Data Science, or a related field.
• Minimum of 3 to 5 years of experience in Data Science and Data Engineering.

Preferred Skills (Nice-to-Haves)

• Hands-on experience in Data Engineering and machine learning model development is mandatory. (The initial two technical interview rounds will include a hands-on assessment.)
• Strong critical thinking abilities and the capability to work autonomously.
• Proficiency in key data engineering concepts, including data lakes, columnar formats, ETL tools, and BI tools.
• High motivation, strong work ethic, maturity, and personal initiative.
• Strong oral and written communication skills.

Quadratyx is an equal opportunity employer - we will never differentiate candidates on the basis of religion, caste, gender, language, disabilities or ethnic group.

Quadratyx reserves the right to place/move any candidate to any company location, partner location or customer location globally, in the best interest of Quadratyx business.