SR DATA SCIENCE ENGINEER SPEC-DATA SCIENTIST Concurrent Technologies Corporation
Johnstown, PA or Telecommute
Minimum Clearance Required: N/A
Clearance Level Must Be Able to Obtain: N/A
Employee Background Check RequiredConcurrent 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, you'll contribute to a collaborative, customer-focused environment where technology enables engineers, researchers, and business professionals to accomplish their mission. 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.
Key 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.
Basic 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.
- 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, Google Cloud Platform).
- 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.
Why CTC? - Our teams at CTC are passionate and thrive on collaboration in a team environment.
- When we encounter a difficult problem, we have a variety of talented and diverse employees that work together to solve the toughest challenges.
- Competitive salary and benefits package.
- Although our work at CTC is extremely important, we also recognize the need for our employees to maintain a proper mix of work and personal life.
Join us! CTC offers exceptional career growth, cutting edge technology, educational opportunities, and recognition for quality work.
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Staffing Requisition: SR#2026-0087
"We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law."
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