Sr. Data Science Engineer Spec-Data Scientist

Concurrent Technologies Corporation is seeking a Senior Data Science Engineer (Spec-Data Scientist) to join its internal IT team in a remote capacity. The role focuses on translating business problems into data science initiatives, building models and dashboards, and running experiments to inform strategic decisions.

Responsibilities

• Collaborate with business leaders to pinpoint high impact challenges and convert them into data science and analysis projects.
• Collect, process, and analyze complex datasets from diverse sources to uncover trends and insights that shape strategic directions.
• Develop and deploy predictive models and machine learning algorithms to address business needs such as forecasting, customer segmentation, and optimization.
• Create and maintain detailed dashboards and reports for technical and non‑technical audiences using business intelligence tools.
• Conduct exploratory data analysis and statistical analyses to reveal patterns, trends, and anomalies.
• Produce clear, compelling visualizations and reports to communicate findings to varied stakeholders.
• Design and run A/B tests and other experiments to quantify the impact of initiatives.
• Partner with data engineers to build and refine data pipelines, ensuring data quality and accessibility.

Requirements

• 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 Python skills (Pandas, NumPy, Scikit-learn), SQL, and PySpark.
• Statistics and ML: solid background in statistical analysis, data mining techniques, and algorithms for classification, regression, clustering, and decision trees.
• Communication: excellent verbal and written communication abilities with the capacity to tell a data story.
• Problem-Solving: proven approach to tackling complex problems with structured, analytical thinking.
• Experience with cloud platforms (AWS, Azure, GCP).
• Experience with big data technologies (Spark, Hadoop).
• Experience with data visualization and analysis tools (Tableau, Power BI, Matplotlib, R, SAS).
• Experience with natural language processing (NLP) or other text analytics.
• Knowledge of experimental design and causal inference techniques.
• Experience in research and development, government contracting, or highly regulated domains.

Technologies

• Python
• Pandas
• NumPy
• Scikit-learn
• SQL
• PySpark
• AWS
• Azure
• GCP
• Spark
• Hadoop
• Tableau
• Power BI
• Matplotlib
• R
• SAS
• NLP

Benefits

• Collaborative team environment with passionate colleagues and a strong emphasis on teamwork.
• Diverse, talented staff tackling challenging problems together.
• Competitive salary and comprehensive benefits package.
• Focus on achieving a healthy balance between work responsibilities and personal life.

Why CTC?

• CTC teams excel in collaborative, problem-solving settings and value diverse perspectives.
• The organization supports tackling difficult problems with a broad pool of skilled colleagues.
• Competitive compensation and benefits accompany a strong commitment to work‑life balance.