Data Scientist

Job Overview We are seeking a dynamic and innovative Data Scientist to join our team and drive data\-driven decision\-making across our organization. In this role, you will harness the power of big data systems, advanced statistical modeling, and machine learning frameworks to uncover insights, develop predictive models, and implement AI solutions that enhance business performance. Your expertise will help shape strategic initiatives by transforming complex data into actionable intelligence, supporting scalable AI and analytics projects that make a tangible impact. This paid position offers an exciting opportunity to work with cutting\-edge technologies and collaborate with cross\-functional teams dedicated to pushing the boundaries of data science. Responsibilities Design, develop, and deploy machine learning models utilizing frameworks such as TensorFlow, Spark MLlib, and other AI tools to solve complex business challenges. Conduct statistical analysis for research purposes, ensuring accuracy and relevance of findings through rigorous validation and model evaluation. Implement scalable big data systems using Hadoop, Spark, and cloud services like AWS to manage large datasets efficiently. Develop ETL (Extract, Transform, Load) pipelines to prepare data from diverse sources including SQL databases, linked data repositories, and unstructured datasets for analysis. Apply natural language processing techniques for text analytics and generative AI applications to extract meaningful insights from textual data. Collaborate with engineering teams on database design, model deployment, and integration into production environments for real\-time analytics solutions. Utilize statistical analysis tools such as R or SAS alongside Python or Java for statistical modeling, machine learning/AI\-based analysis, and predictive modeling analysis. Requirements Proven experience in machine learning frameworks such as TensorFlow or similar platforms with a focus on model training and evaluation. Strong proficiency in programming languages including Python, Java, C, Bash (Unix shell), and VBA for automation and development tasks. Extensive knowledge of big data systems like Hadoop, Spark implementation, and cloud\-based machine learning services on AWS or equivalent platforms. Demonstrated expertise in statistical analysis tools (R, SAS) combined with SQL databases for data mining and analytics projects. Hands\-on experience with AI implementation techniques such as natural language processing (NLP), generative AI models, and predictive modeling analysis. Familiarity with database design principles, data warehousing concepts like Talend or Looker for data visualization and reporting. Ability to work effectively in a fast\-paced environment while managing multiple projects involving scalability and large datasets. Join us to leverage your passion for data science in a role that challenges you daily while making a meaningful impact through innovative AI solutions! Pay: $110,000\.00 \- $134,000\.00 per year Work Location: Remote