Data Scientist

• Design, develop, and implement advanced machine learning models and AI solutions using frameworks such as TensorFlow and Spark.
• Conduct statistical analysis for research purposes to identify trends, patterns, and correlations within large datasets.
• Build scalable ETL (Extract, Transform, Load) pipelines to facilitate efficient data processing from diverse sources including SQL databases, Hadoop, and cloud services like AWS.
• Collaborate with cross-functional teams to deploy AI models into production environments, ensuring robustness and scalability.
• Utilize natural language processing techniques for text analysis and generative AI applications to enhance data-driven insights.
• Perform model evaluation and validation using statistical modeling tools to optimize predictive accuracy and performance.
• Design database schemas and implement database design best practices for efficient data storage and retrieval.

We are seeking a dynamic and innovative Data Scientist to join our forward-thinking analytics team. In this role, you will harness the power of data to uncover actionable insights, develop predictive models, and drive strategic decision-making across various business units. Your expertise in machine learning, statistical analysis, and big data systems will be instrumental in transforming complex datasets into impactful solutions. This position offers an exciting opportunity to work with cutting-edge AI and data mining technologies in a fast-paced environment committed to innovation and excellence., * Proven experience working with big data systems such as Hadoop, Spark, and cloud-based machine learning services.

• Strong proficiency in programming languages including Python, R, Java, C, Bash (Unix shell), and VBA for automation and analysis tasks.
• Hands-on experience with machine learning frameworks like TensorFlow, scikit-learn, or similar tools for model training and deployment.
• Expertise in statistical analysis tools such as SAS or equivalent for research-focused analysis.
• Knowledge of SQL databases along with experience in SQL query optimization for analytics purposes.
• Familiarity with data mining techniques, data analytics platforms like Looker or Talend, and natural language processing methods.
• Understanding of AI implementation strategies including generative AI models and their scalability within enterprise environments.
• Background in quantum engineering or related fields is a plus but not required; a passion for emerging technologies is valued highly.

Join us to leverage your skills in machine learning/AI-based analysis, big data systems, and statistical modeling to shape innovative solutions that make a real impact!