DATA SCIENTIST

Wapa; Johnstown (Cambria County); Hybrid; USD 110,000 - 170,000; Full time

Job summary

Concurrent Technologies Corporation in Johnstown, PA or telecommute is seeking a Senior Data Science Engineer Specialist. You will translate business needs into data projects, build predictive models, and craft dashboards for diverse audiences.

Applicants bring 3–5 years in data science/senior analysis, strong Python/SQL/PySpark expertise, and the ability to tell a compelling data story. Collaboration with engineers and stakeholders is essential.

Qualifications

• Bachelor's or Master's degree in statistics, mathematics, CS or economics.
• 3–5 years hands-on data science or senior data analytics experience.
• Strong Python (Pandas, NumPy, Scikit‑learn), SQL and PySpark proficiency.
• Solid statistics, ML methods, data mining, and model interpretation.
• Excellent storytelling with data and written/verbal communication.
• Structured, analytical problem-solving approach.

Responsibilities

• Collaborate with leaders to translate business problems into data projects.
• Collect, clean, and analyze complex datasets from multiple sources.
• Develop and deploy predictive models and ML algorithms.
• Create dashboards and reports for technical and non‑technical audiences.
• Perform EDA and statistical analyses to uncover insights.
• Craft clear data visualizations to communicate findings.
• Design and run A/B tests and experiments to measure impact.
• Partner with data engineers to improve data pipelines and quality.

Skills

Statistical analysis

Communication

Problem solving

Education

Bachelor's or Master's in a quantitative field

Tools

Python

SQL

PySpark

Job description

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

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.

Benefits

• 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.

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.