Data Scientist

Job Overview

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 big data, machine learning, and AI to drive strategic insights and develop scalable models that solve complex business challenges. Your expertise in statistical analysis, data mining, and advanced modeling techniques will be instrumental in transforming raw data into actionable intelligence. This is an exciting opportunity to work with cutting-edge technologies and contribute to impactful projects that shape the future of data-driven decision-making.

Responsibilities

• Design, develop, and deploy machine learning models utilizing frameworks such as TensorFlow, Spark MLlib, and other AI tools to enhance predictive analytics capabilities.
• Implement scalable data pipelines using ETL processes, Talend, Hadoop, and Spark to ensure efficient data flow from diverse sources including SQL databases, linked data, and big data environments.
• Conduct statistical modeling and analysis for research purposes to uncover patterns, trends, and insights that inform strategic initiatives.
• Collaborate with cross-functional teams to integrate AI models into production environments using cloud services like AWS and machine learning cloud platforms for model training and deployment.
• Develop natural language processing (NLP) solutions and explore generative AI techniques to enhance content understanding and automation.
• Design database schemas and optimize SQL queries for high-performance data retrieval; implement database design best practices for scalable storage solutions.
• Evaluate model performance through rigorous testing, validation, and model evaluation techniques; continuously improve models based on feedback and new data.

Qualifications

• Proven experience in machine learning/AI-based analysis with a strong understanding of AI implementation strategies across various platforms.
• Proficiency in programming languages such as Python, R, Java, C, Bash (Unix shell), and VBA for automation and analysis tasks.
• Hands-on experience with big data tools including Hadoop, Spark (and Spark implementation), Talend, and SQL databases.
• Demonstrated expertise in statistical analysis for research combined with skills in statistical modeling techniques.
• Familiarity with machine learning frameworks like TensorFlow, SAS, and natural language processing libraries.
• Knowledge of cloud-based machine learning services on AWS or similar platforms for model training and scalability.
• Strong understanding of database design principles, data mining techniques, and linked data concepts.
• Excellent problem-solving skills with a focus on scalability, efficiency, and innovative AI solutions that drive business value.

Join us to leverage your passion for analytics and artificial intelligence in a collaborative environment where your insights will make a real difference!

Pay: $122,000.00 per year

Benefits:

• 401(k)
• Dental insurance

Work Location: On the road