Senior Data Science Engineer Specialist - Data Scientist
Concurrent Technologies Corporation · Johnstown, PA · 3 wk ago
EngineeringFull-time
Concurrent Technologies Corporation (CTC), an independent, nonprofit applied scientific research and development organization, is seeking a Sr. Data Science Engineer Spec-Data Scientist. You'll be part of the internal Information Technology team that keeps CTC's business operations running efficiently, supporting employees across the organization in a collaborative, customer-focused environment where technology enables engineers, researchers, and business professionals to accomplish their mission.
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.
Qualifications
- 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.
Skills
- Programming: Strong proficiency in Python (including libraries like Pandas, NumPy, and Scikit-learn), SQL, and PySpark.
- Statistics and ML: Solid understanding of statistical analysis, data mining techniques, and machine learning algorithms (e.g., classification, regression, clustering, and decision trees).
- Communication: Excellent verbal and written communication skills with the ability to tell a story with data.
- Problem-Solving: Proven ability to approach complex problems with a structured, analytical, and inquisitive mindset.
Preferred Qualifications
- 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.
Benefits
- Competitive salary and benefits package.
- Exceptional career growth, cutting-edge technology, educational opportunities, and recognition for quality work.
- Work-life balance with a focus on maintaining a proper mix of work and personal life.
CTC values teamwork, innovation, continuous learning, and exceptional customer service, providing opportunities to expand your technical skills while building a rewarding career with an organization dedicated to making a meaningful impact.