| Data Scientist// Hybrid in NYC or TX// / at NYC, New York, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=1976236&uid= Job Title: Data Scientist must have Capital Markets and Quantitative Development experience. Location : Hybrid in Midtown NYC or Austin, TX (Candidates must be local and able to commute into the office 3 times a week) / Duration: 6+ months Interview Process: Video Interview Required We need 9+yrs Ex Job Description: We are seeking two mid-to-senior-level Data Scientist with experience in Python and Apache Spark to work in a Capital Markets enterprise environment. This role involves building quantitative models, assessing data quality, exploring new datasets, and generating valuable insightspreferably with financial or time-series datasets. The role also includes data visualization, containerization, and CI/CD tasks. This is NOT just a Python Developer position; candidates must have Capital Markets and Quantitative Development experience. Candidates must be local to the New York/New Jersey or Austin, TX area and be able to commute into the office at least 3 times a week. Key Responsibilities: Build and maintain fundamental market models for supply and demand. Implement data onboarding (ETL, web scraping, etc.) and database management. Develop and test data processes such as transformation, ETL, and scraping. Explore and work with new datasets, assessing data quality and extracting valuable insightsideally with financial or time-series data. Create and maintain data visualizations and dashboards (preferably using Plotly/Dash). Build and deploy containerized solutions with CI/CD practices. Work independently on a wide range of data engineering and analytical tasks. Required Skills & Experience: Soft Skills: Curiosity and analytical mindset. Self-starter, able to work independently with minimal guidance. Ability to learn quickly and adapt to new concepts. Comfortable working with a geographically distributed team. Hard Skills: Strong Python skills with good code hygiene. Experience with Capital Market and financial markets. Strong experience with Quant, Python, Apache, Spark and AWS. Experience in ETL processes, data scraping, and data transformation. Familiarity with distributed compute frameworks like Apache Spark for large data volumes. Experience with cloud solutions, particularly AWS. Familiarity with Apache Airflow for orchestration. Experience in data visualization for both technical and non-technical audiences, preferably using Plotly/Dash. Solid understanding of source control and CI/CD practices. Comfortable building and deploying containerized solutions. Nice to Have: Experience developing and deploying machine learning models. Knowledge of best practices for back-testing models. Required Qualifications: Candidates must have long-term projects and strong tenure in their previous roles. Excellent communication skills. A state-issued ID showing they are local (not utility bills). -- Keywords: continuous integration continuous deployment information technology card Idaho Texas Data Scientist// Hybrid in NYC or TX// / [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=1976236&uid= |
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| 01:27 AM 03-Dec-24 |