Data Scientist at Software Guidance & Assistance, Inc.
Data Scientist
Software Guidance & Assistance, Inc.
New York, NYmid2 weeks ago
Contractonsite1-3Years
$128,123/year
Job Description
The Data Scientist will play a vital role in analyzing complex datasets to enhance automated surveillance systems for regulatory compliance. This mid-level contract position focuses on leveraging data-driven insights to identify potential violations and improve existing models, ensuring the integrity and efficacy of our surveillance efforts. In this role, you will utilize a robust tech stack including R, Python, and SQL for data analysis and engineering. Your day-to-day tasks will involve creating data visualizations, developing machine learning algorithms, and applying statistical modeling techniques. You will also ensure regulatory compliance through thorough analysis, enhancing automated surveillance systems to detect anomalies efficiently. You will collaborate with a diverse team of professionals passionate about data science and analytics. This position offers significant opportunities for growth, enabling you to expand your expertise in machine learning and regulatory frameworks while contributing to impactful projects. This role is unique as it combines data science with regulatory compliance, allowing you to work at the intersection of technology and governance. Your contributions will directly influence the effectiveness of surveillance systems in a vital sector, making a tangible impact.
Responsibilities
Design robust data models for automated surveillance systems using SQL and statistical modeling techniques. Build and optimize machine learning algorithms to enhance detection of regulatory violations across asset classes. Lead data analysis initiatives to validate and improve surveillance patterns in compliance with regulatory standards. Architect data visualization tools to present complex analysis in an easily interpretable format. Drive collaboration with cross-functional teams to ensure comprehensive data integration and accuracy. Enhance existing data engineering processes for efficient data retrieval and analysis.
Key Skills
R
20%
Python
20%
SQL
15%
Machine Learning
15%
Data Analysis
10%
Benefits
Competitive salary with comprehensive health benefits to support your well-being. Generous health insurance options and retirement plans for financial security. Flexible working hours and remote work options to promote work-life balance. Encouragement of a healthy work-life balance with generous paid time off. Access to ongoing professional development opportunities and training programs. Support for attending industry conferences and workshops to enhance your skills. Inclusive company culture that values diversity and fosters innovation. Fun team-building activities and perks to enhance employee engagement.
