Data Scientist

Job Summary
We are seeking a highly skilled Data Scientist to join our innovative analytics team. The ideal candidate will leverage advanced data analysis, machine learning, and AI techniques to extract actionable insights from complex datasets. This role involves developing predictive models, deploying machine learning frameworks, and working with big data technologies to support strategic decision-making across various business units. The position offers an exciting opportunity to work with cutting-edge tools and methodologies in a collaborative environment dedicated to technological advancement.

Duties

• Design, develop, and implement machine learning models using frameworks such as TensorFlow, Spark MLlib, and other AI tools.
• Conduct data mining and exploratory data analysis on large-scale datasets utilizing SQL, Python, R, SAS, and Hadoop ecosystems.
• Build and optimize ETL pipelines with Talend, Bash (Unix shell), and other data integration tools to ensure high-quality data flow.
• Perform database design and management to support scalable data storage solutions.
• Apply unsupervised learning techniques for clustering, anomaly detection, and natural language processing tasks.
• Collaborate with cross-functional teams to deploy models into production environments for real-time analytics and decision support.
• Utilize cloud platforms such as AWS for scalable computing resources and model deployment.
• Develop dashboards and visualizations using Looker or similar BI tools to communicate insights effectively.
• Stay current with advancements in quantum engineering, big data analytics, and emerging AI methodologies to continuously improve analytical capabilities.

Skills

• Proficiency in programming languages including Python, Java, C, VBA, and Bash (Unix shell).
• Extensive experience with machine learning frameworks such as TensorFlow, Spark MLlib, and other AI libraries.
• Strong knowledge of SQL databases along with database design principles.
• Expertise in big data technologies like Hadoop and Spark for processing large datasets efficiently.
• Familiarity with cloud services such as AWS for model training and deployment.
• Experience with natural language processing (NLP), data mining, and linked data concepts.
• Ability to perform complex analytics using SAS, R, or similar statistical tools.
• Knowledge of model training techniques including supervised and unsupervised learning approaches.
• Understanding of data integration tools like Talend for ETL processes.
• Skills in data visualization platforms such as Looker for presenting analytical results clearly.

Pay: From $50.00 per hour

Work Location: In person