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 setting.
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 workplace.
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