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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 , 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. https://concurrent-technologies-corporation.breezy.hr/ 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.”
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.