Senior Data Scientist

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.

Interested candidate profiles should be emailed to [email protected]