DATA SCIENTIST

Sustainable World, Inc.; Johnstown (Cambria County); Híbrido; USD 120.000 - 160.000; Jornada completa

Descripción de la vacante

Concurrent Technologies Corporation (CTC) is seeking a Senior Data Science Engineer Specialist - Data Scientist to join the Information Technology team. The role supports data-driven decision making across the organization and involves building predictive models, dashboards, and data pipelines in a collaborative environment.

The position emphasizes analytics, machine learning, and storytelling with data, with a flexible work arrangement to telecommute from Johnstown, PA or nearby.

Formación

• Bachelor's or Master's degree in a quantitative field (Statistics, Mathematics, Computer Science, or Economics).
• 3–5 years of hands-on experience in a Data Scientist or Senior Data Analyst role.
• Proficiency in Python (Pandas, NumPy, Scikit-learn), SQL, and PySpark.
• Strong knowledge of statistical analysis, data mining techniques, and ML algorithms.
• Excellent verbal and written communication; ability to tell a story with data.

Responsabilidades

• Collaborate with business leaders to identify high-impact data science projects 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 for forecasting, customer segmentation, and optimization.
• Develop and maintain dashboards and reports for technical and non-technical audiences using BI tools.
• Perform exploratory data analysis (EDA) and statistical analyses to uncover patterns, trends, and anomalies.
• Create clear, compelling, actionable data visualizations and reports to communicate findings to diverse audiences.
• Design and execute A/B tests and other experiments to measure initiative impacts.
• Work with data engineers to build and improve data pipelines, ensuring data quality and accessibility.

Conocimientos

Python

SQL

PySpark

Pandas

NumPy

Scikit-learn

Data visualization

Communication

Problem-Solving

Educación

Bachelor's or Master's degree

Descripción del empleo

SENIOR DATA SCIENCE ENGINEER SPECIALIST – 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) is an independent, nonprofit-applied scientific research and development organization. Is seeking a Senior Data Science Engineer Specialist - 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, 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 www.ctc.com to learn more

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

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.”