SR. DATA SCIENCE ENGINEER SPEC-DATA SCIENTIST

Concurrent Technologies Corporation (CTC) is an independent, nonprofit applied scientific research and development organization. They are seeking a Sr. Data Science Engineer Spec-Data Scientist to be part of the internal Information Technology team, contributing to a collaborative environment by solving high-impact business problems through data science and analysis.

Responsibilities:

• Collaborate with business leaders to identify high-impact business problems and translate them into data science and data analysis projects
• Collect, process, and analyze complex datasets from various sources to identify trends, patterns, and insights that inform business strategy
• Develop and implement predictive models and machine learning algorithms to solve business problems, such as forecasting, customer segmentation, and optimization
• Develop and maintain detailed, compelling dashboards and reports for both technical and non-technical audiences using business intelligence (BI) tools
• Perform exploratory data analysis (EDA) and statistical analysis to uncover patterns, trends, and anomalies
• Create clear, compelling, and actionable data visualizations and reports to communicate complex findings to both technical and non-technical audiences
• Design and execute A/B tests and other experiments to measure the impact of different initiatives
• Work with data engineers to build and improve data pipelines, ensuring data quality and accessibility

Requirements:

• Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or Economics
• 3–5 years of hands-on experience in a Data Scientist or Senior Data Analyst role
• Strong proficiency in Python (including libraries like Pandas, NumPy, and Scikit-learn), SQL, and PySpark
• Solid understanding of statistical analysis, data mining techniques, and machine learning algorithms (e.g., classification, regression, clustering, and decision trees)
• Excellent verbal and written communication skills with the ability to tell a story with data
• Proven ability to approach complex problems with a structured, analytical, and inquisitive mindset
• Experience with cloud-based data platforms (e.g., AWS, Azure, GCP)
• Experience with big data technologies (e.g., Spark, Hadoop)
• Experience with data visualization and analysis tools (e.g., Tableau, Power BI, Matplotlib, R, SAS)
• Experience with natural language processing (NLP) or other forms of text analysis
• Knowledge of experimental design and causal inference techniques
• Experience in research & development, government contracting, and/or highly regulated industry domains