Data Scientist

What you'll work on

• Analyze large and complex datasets to identify patterns, trends, and actionable business insights.
• Develop and implement machine learning and statistical models to solve business problems and improve decision-making.
• Perform data cleaning, preprocessing, and feature engineering to prepare data for modeling and analysis.
• Build predictive models using algorithms such as regression, classification, clustering, and time-series forecasting.
• Work with structured and unstructured data from multiple sources including databases, APIs, and cloud platforms.
• Develop and optimize models using Python, R, or other data science tools and frameworks.
• Perform exploratory data analysis (EDA) to understand data distributions and relationships.
• Visualize insights and results using tools such as Tableau, Power BI, Matplotlib, or Seaborn.
• Collaborate with Data Engineers to build scalable data pipelines and ensure data availability.
• Deploy machine learning models into production using cloud platforms such as AWS, Azure, or Google Cloud.
• Monitor model performance and retrain models as needed to maintain accuracy and reliability.
• Apply statistical techniques and hypothesis testing to validate insights and support data-driven decisions.
• Develop dashboards and reports to communicate insights to business stakeholders.
• Work closely with product, engineering, and business teams to translate business needs into data science solutions.
• Implement best practices for data governance, security, and data quality.
• Participate in Agile/Scrum development processes including sprint planning and stand-up meetings.
• Document methodologies, processes, and models for knowledge sharing and reproducibility.

*Contact:

Mahesh Kyadari, Talent Management Team Lead

[email protected]