Senior Data Scientist

Job Overview

We are seeking a highly motivated and innovative Senior Data Scientist to join our dynamic analytics team. In this role, you will lead the development and deployment of advanced machine learning models and statistical analyses to drive strategic decision-making across various business units. Your expertise will help unlock insights from complex, large-scale datasets, enabling the organization to stay ahead in a competitive landscape. This position offers an exciting opportunity to work with cutting-edge AI and big data technologies, contributing to impactful projects that shape our future growth.

Responsibilities

• Design, develop, and optimize machine learning models using frameworks such as TensorFlow and other AI tools to solve complex business problems.
• Lead end-to-end data analysis projects, including data extraction, transformation (ETL), and statistical modeling to generate actionable insights.
• Collaborate with cross-functional teams to implement scalable big data systems utilizing Hadoop, Spark, and cloud services like AWS for efficient data processing.
• Develop predictive models for natural language processing, generative AI applications, and other AI-based solutions that enhance product offerings.
• Conduct statistical analysis for research purposes, ensuring rigorous evaluation of model performance through model training, testing, and evaluation metrics.
• Design and maintain robust SQL databases and data pipelines using Talend or Bash scripting to facilitate seamless data flow across platforms.
• Evaluate AI models for accuracy, scalability, and deployment readiness while ensuring compliance with best practices in model evaluation and deployment strategies.

Requirements

• Proven experience in machine learning/AI development with proficiency in Python, R, Java, or C for algorithm implementation.
• Strong background in statistical analysis tools and techniques for research and predictive modeling analysis.
• Hands-on experience with big data systems such as Hadoop, Spark (including Spark implementation), and cloud-based machine learning services like AWS or similar platforms.
• Expertise in database design, SQL databases, ETL processes, and data mining techniques to support large-scale analytics initiatives.
• Familiarity with natural language processing (NLP), generative AI models, and AI implementation strategies for real-world applications.
• Knowledge of statistical modeling methods including unsupervised learning approaches for clustering or anomaly detection tasks.
• Ability to work with diverse datasets such as linked data or big data systems while ensuring scalability and efficiency in model deployment.
• Excellent problem-solving skills combined with strong communication abilities to translate complex technical concepts into actionable insights for stakeholders.

Join us if you’re passionate about harnessing the power of data analytics and AI to revolutionize industries! We value innovation, collaboration, and a proactive mindset—your expertise will be instrumental in shaping our technological future.

Pay: $60.00 - $65.00 per hour

Work Location: In person