01Overview
About Quadratyx We are a product-centric insight & automation services company globally. We help the worlds 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 jobs@quadratyx.com .
