Senior Data Analyst Position

1 day ago


Dublin, Ohio, United States Diverse Lynx Full time

Diverse Lynx LLC is seeking a highly skilled and experienced Data Scientist to join our team in Cincinnati/Dublin. As a Data Scientist, you will play a crucial role in driving business growth through data-driven insights and recommendations. If you have a passion for machine learning, data analysis, and problem-solving, we encourage you to apply for this exciting opportunity.

The estimated salary for this position is around $150,000 - $190,000 per year, depending on experience and qualifications.

About the Company

Diverse Lynx LLC is a leading provider of innovative solutions that drive business success. Our team of experts is dedicated to delivering high-quality results, exceeding client expectations, and fostering a collaborative and inclusive work environment.

We value diversity, equity, and inclusion and are committed to creating a workplace where everyone feels welcome and empowered to contribute their best work.

About the Job

This is an exceptional opportunity to work on complex data projects, develop your skills, and take on new challenges. As a Data Scientist, you will work closely with cross-functional teams to identify business needs, design and develop data-driven solutions, and implement them using advanced technologies such as Java Full Stack, architecture, Kafka, Postgres, Boomi, and Generative AI.

You will also be responsible for designing and developing machine learning and deep learning solutions, training models, and deploying them in production. Your expertise in Python, Java, Node.js, and relevant libraries for machine learning will enable you to tackle complex problems and deliver innovative solutions.

Key Responsibilities:

  • Design and develop machine learning and deep learning solutions
  • Train and deploy models in production
  • Work with cross-functional teams to capture business requirements
  • Develop data-driven solutions using advanced technologies

Required Skills:

  • Python, Java, Node.js, and relevant libraries for machine learning
  • REST APIs, microservices, containerization technologies, and orchestration tools
  • Software engineering patterns, solutions architecture, information architecture, and security architecture
  • Experience working with Generative AI, LLM frameworks, and vector databases


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