Sr. Data Science Engineer Spec-Data Scientist

Responsibilities

• Partner with business leaders to surface high impact problems and convert them into data science and analysis initiatives.
• Ingest, cleanse, and evaluate complex datasets from multiple sources to uncover trends and insights that guide strategic decisions.
• Design, implement, and validate predictive models and machine learning solutions for forecasting, segmentation, and optimization tasks.
• Create and maintain engaging dashboards and reports for both technical and non-technical stakeholders using BI tools.
• Perform exploratory data analysis and statistical assessments to identify patterns, anomalies, and opportunities.
• Develop clear visualizations and concise reports to communicate findings to diverse audiences.
• Plan and run A/B tests and other experiments to quantify the impact of initiatives.
• Collaborate with data engineers to build and enhance data pipelines ensuring data quality and accessibility.

Requirements

• Bachelor's or Master's degree in statistics, mathematics, computer science, economics, or a related quantitative field.
• 3 to 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.
• Solid understanding of statistical methods, data mining techniques, and machine learning algorithms (classification, regression, clustering, decision trees).
• Excellent verbal and written communication with the ability to tell a compelling data-driven story.
• Structured, analytical approach to solving complex problems with curiosity and rigor.
• 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 or other text analysis techniques.
• Knowledge of experimental design and causal inference methods.
• Experience in research and development, government contracting, or regulated industry domains.

Technologies

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

Benefits

• Collaborative, team oriented culture that emphasizes shared problem solving.
• Opportunities to work with a diverse group of professionals tackling challenging initiatives.
• Competitive salary and comprehensive benefits package.
• Emphasis on maintaining a healthy work-life balance to support personal well-being.

Why CTC?

• Teams that thrive on collaboration and teamwork to solve demanding problems.
• Access to a diverse and skilled group of colleagues dedicated to delivering results.
• Competitive compensation and benefits.
• Recognition of the importance of balancing work with personal life commitments.