Data Scientist/Data Engineer- Mid

About the role

This role encompasses both Data Science and Data Engineering disciplines. It requires raw coding experience without AI assisted IDEs. A qualified candidate will perform the following duties and responsibilities, but are not limited to:

Responsibilities

• Create various ML-based tools or processes such as recommendation engines or automated lead scoring systems.
• Perform statistical analysis, apply data mining techniques, and build high-quality prediction systems.
• Be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; manage and margin disparate data sources, preferably through Python, or SQL; statistical analysis; and data mining algorithms.
• Have prior experience with large data Multi-INT analytics, ML, and automated predictive analytics.
• Conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and use scientific techniques to correlate data into graphical, written, visual, and verbal narrative products, enabling more informed analytic decisions.
• Proactively retrieve information from various sources, analyze it for better understanding about the data set, and build AI tools that automate certain processes.

Requirements

• Bachelor's degree or equivalent experience
• 3+ years of experience designing, developing, operating, and maintaining complex data applications
• 3+ years of experience with raw coding of Python or Java, PostgreSQL or similar databases
• 3+ years of experience developing code for data manipulation, data analysis, or data modeling
• Experience creating and integrating code for retrieving, parsing, and processing data across multiple systems or applications
• Experience developing scripts and programs for converting various types of data into usable formats and supporting project teams to scale, monitor, and operate data platforms in support of specific mission goals
• Experience in the development of algorithms leveraging Python and SQL
• Experience with Python data science and visualization packages
• Experience with leading the development of solutions to complex problems
• Experience working within a TS environment with onsite development tools
• Experience with database administration or data analytics
• Experience with structured and unstructured data
• CompTIA Security+

Qualifications

• 12+ years of experience in Extract, Transform, and Load (ETL) processes
• 7+ years of experience designing, developing, operationalizing, and maintaining complex data applications
• 7+ years of experience with raw coding of Python or Java, PostgreSQL or similar databases
• 7+ years of experience developing code for data manipulation, data analysis, or data modeling
• 3+ years of experience with AI and ML implementation and development
• Experience with DevSecOps tools, including GitHub
• Experience working within the Intel Community
• Experience with a cloud environment, including AWS, Microsoft Azure, or Google Cloud
• Experience with Streamlit, Tkinter
• Experience with Agile software development

Benefits

Medical, dental, and vision coverage, 401k matching, generous PTO, paid holidays, professional training opportunities, and even pet insurance to ensure your furry friends are cared for too.