Role: Data Quantitative Engineer
Locations: Reston, VA & Plano, TX (Hybrid)
Visa: Candidates must have valid work authorization in the United States (NO OPT, CPT, GC)
Contract Type: C2C, W2C, C2H
Job Details:
- Develop and implement quantitative models and algorithms for data analysis.
- Collaborate with data scientists and engineers to build scalable data solutions.
- Analyze large datasets to identify patterns, trends, and insights.
- Design and optimize data pipelines and workflows for efficiency and reliability.
- Stay updated with advancements in quantitative analysis and data science methodologies.
Responsibilities:
- Develop and implement quantitative models and algorithms for data analysis and forecasting.
- Collaborate with data scientists and engineers to build scalable data solutions.
- Analyze large datasets to identify patterns, trends, and insights.
- Design and optimize data pipelines and workflows for efficiency and reliability.
- Stay updated with advancements in quantitative analysis and data science methodologies.
Skills Required:
- Strong background in quantitative analysis, statistical modelling, and machine learning.
- Proficiency in programming languages such as Python, R, or Scala.
- Experience with data manipulation, cleansing, and transformation techniques.
- Familiarity with big data technologies (e.g., Hadoop, Spark) and distributed computing frameworks.
- Excellent problem-solving skills and ability to communicate complex ideas to technical and non-technical stakeholders.
Connect with Us: https://www.linkedin.com/in/dreakansh-151217126/
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