Data Scientist

A Data Scientist analyzes complex data sets to derive actionable insights and build predictive models This role involves data cleaning statistical analysis machine learning and communicating findings to stakeholders The ideal candidate will have strong programming skills expertise in data visualization excellent analytical abilities and familiarity with clients standards and processes Key Responsibilities

• Utilize standard libraries and frameworks for data manipulation analysis and modeling
• Conduct statistical analysis to extract insights and identify patterns in large datasets
• Perform data mining techniques to discover actionable insights from structured and unstructured data
• Design and implement statistical models for predictive analytics and forecasting
• Develop and implement machine learning algorithms for predictive modeling and analysis
• Utilize big data technologies such as Hadoop Apache Spark Hive and Snowflake for distributed storage and processing
• Apply natural language processing techniques for text mining and sentiment analysis
• Create data visualizations to communicate findings and insights to stakeholders using tools like Tableau and Matplotlib
• Drive the design development and optimization of AIML frameworks
• Collaborate with crossfunctional teams to understand business needs and translate them into datadriven solutions
• Build and maintain ETL Extract Transform Load processes to ensure data quality and integrity
• Optimize data infrastructure for performance scalability and costefficiency
• Automate repetitive datarelated tasks to enhance efficiency
• Stay updated on AI model interpretability advanced machine learning techniques and domainspecific knowledge
• Leverage AI tools and generative AI to automate routine tasks and focus on strategic analysis
• Adhere to clients internal standards policies and processes to ensure compliance and alignment with organizational goals
• Demonstrate awareness of clients data privacy security policies and ethical guidelines in handling data and analytics projects
• Engage with clients collaborative culture and leverage internal resources and frameworks to drive project success

• Programming languages Python including libraries such as Pandas NumPy Scikitlearn TensorFlow R and Scala
• Big data technologies preferred Apache Spark Hadoop Hive Snowflake Azure Databricks
• Natural language processing NLP techniques and tools
• Statistical modeling and predictive analytics
• Experience with cloud platforms and data lakes
• Familiarity with AI ethics responsible AI practices and AI literacy
• Knowledge of prompt engineering and generative AI applications
• Ability to use AIpowered tools to enhance productivity and automate data workflows

Desired Attributes

• Curiosity and a problemsolving mindset
• Ability to explain complex models in plain English
• A portfolio demonstrating practical experience with realworld data science projects
• Willingness to leverage AI tools to automate routine tasks and focus on strategic analysis
• Strong communication skills to effectively convey insights to nontechnical stakeholders
• Adaptability to evolving AI technologies and continuous learning mindset

Skills Mandatory Skills : PySpark-Data Science, Python - Data Science