Senior Data Science Engineer, Data Scientist

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Logo of Concurrent Technologies Corporation

Concurrent Technologies Corporation

201 - 500 employees

Founded 1987

🚀 Aerospace

🔒 Cybersecurity

⚡ Energy

Aerospace • Cybersecurity • Energy

Concurrent Technologies Corporation is a company that provides innovative, customized, full lifecycle solutions across various domains. Their offerings include engineering and advanced manufacturing services such as additive manufacturing, coatings systems, and friction stir welding. They also specialize in energy storage, resilience and sustainability solutions, and nuclear manufacturing. In addition, Concurrent Technologies Corporation provides information technology services focusing on cybersecurity, data management, and machine learning readiness solutions. They emphasize safety, occupational health services, and have a strong commitment to federal requirements. As a leader in advanced manufacturing and technology solutions, they support clients from government and private sectors while upholding ethical and corporate responsibilities as a non-profit organization.

📋 Description

• 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

🏖️ Benefits

• Competitive salary and benefits package • Educational opportunities • Recognition for quality work

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