Job Title : Data Scientist Location : San Jose , CA / TX / NC / WA (Onsite Hybrid)
8-12 Years required
Job Summary
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
Required Technical Skills
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
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