Sr. Data Science Engineer Spec-Data Scientist

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 Required

Concurrent Technologies Corporation (CTC) an independent nonprofit applied scientific research and development organization. Is seeking a Sr. Data Science Engineer Spec-Data Scientist youll be part of the internal Information Technology team that keeps CTCs business operations running efficiently. Supporting employees across the organization youll 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:

• Bachelors or Masters degree in a quantitative field such as Statistics Mathematics Computer Science or Economics.
• 35 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 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.

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.

• Visit to learn more!

Join us! CTC offers exceptional career growth cutting edge technology educational opportunities and recognition for quality work.

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.