- Build a portfolio of data opportunities for specific business partners based on your knowledge of the data and the business.

- Support business partners in translating their needs into specific research questions
that can be addressed in a data science project.

- Apply techniques of data preparation, quality control, completeness, distribution, consistency, outliers, data, or variable transformation.

- Apply mathematical, statistical, and modeling techniques in a suitable environment.

- Use statistical analysis to support strategic decision-making.

- Support partners in the correct interpretation and application of analysis results.

- Training Business partners interpret analysis results independently or translating analysis results into the right actions.

- Collaborate closely with Data Science Engineers to support the entire data pipeline process.

- Evaluate the long-term validity of the analytical solution.

- Follow up on developments in the field of statistical analysis, mathematical modeling, optimization, and integrate these into practice

Requirements

- Should have 12+ years of working experience in Data-related projects.





- At least 8+ years of relevant experience as a Data Scientist.

- In-depth knowledge of statistical methods for data analysis, interpretation, and application of these techniques to solve a business problem.

- Experience in Machine learning/ NLP/ AI, Data Visualization, Data processing

- Experience in applying a variety of analytical algorithms, including but not limited to
linear and logistic regression, Bayesian analysis, decision trees, random forest, boosting techniques, forecasting, time series, clustering, neural networks, and others.
- Experience in EDA, text mining, and understanding of image processing.

- Experience in Statistics, Statistical Analysis, Strategic Planning, Quality Control, SQL.

- Proficiency in Python is expected to perform Data Science activities.

- Solid analytical and problem-solving skills.

- Ability to work in a team-oriented, collaborative environment.

- Excellent communication and interpersonal skills

- Bachelor's or master's degree in a relevant field such as Statistics, AI / ML / NLP is an added value.

📌 Data Scientist (Hyderabad)
🏢 Careernet
📍 Hyderabad