Sr. Data Science · Hyderabad

What you’ll do:

• Extend and optimize classifiers using advanced machine learning techniques.

• Conduct data mining using cutting-edge methods and tools.

• Work as part of a regional and global support team, supporting customer running Pricing solutions and in the future our Cognitive solutions.

• Integrate third-party data sources to enhance the company’s datasets when necessary.

• Refine data collection procedures to ensure relevant data is available for analytic systems.

• Process, cleanse, and verify the integrity of data used for analysis.

• Perform ad-hoc analysis and present results clearly to stakeholders and customers.

• Address customer concerns regarding forecasting issues and data quality, and write codes to perform forecasting checks.

• Adhere to ITIL standards for support case management when working with our customers, adhere and achieved specified SLAs and Case Quality

• Building custom scripts and logic using advance ML and AI techniques to solve business problems

What we are looking for:

• Solid understanding of machine learning algorithms (e.g., Linear Regression, K-Means Clustering, Naive Bayes).

• Proficiency in data science toolkits such as Python, NumPy, Pandas, Matplotlib, Seaborn (expertise in at least two is required).

• Experience in supply chain concepts and statistical analysis.

• Knowledge of operations research concepts, including integer, linear, and stochastic programming.

• Strong critical and operational thinking skills.

• Familiarity with data visualization tools such as Streamlit and Power BI.

• Proficiency in query languages such as SQL and Snowflake, or Python-based SQL wrappers.

• Solid grounding in applied statistics, including distributions, hypothesis testing, and regression analysis.

• Bonus skills: familiarity with Dask/parallel processing, Airflow orchestration tools, Postman/API integration.

• Strong scripting and programming capabilities.

• Data-driven mindset with an eye for detail.

Educational Background:

• Bachelor’s or Master’s degree in Computer Science with a focus on Data Science.

Experience:

• 7 to 10 years of relevant experience.