Data Scientist (remote)

North American Search Group; Remote; USD 50,000 - 79,000; Full time

Job summary

An innovative firm is seeking a skilled Data Scientist to leverage advanced quantitative techniques for analyzing complex datasets. In this exciting role, you will develop and validate probabilistic risk models while collaborating closely with various teams. Your expertise in deep learning and statistical analysis will be crucial in driving impactful insights and best practices. Join a forward-thinking organization that values your leadership skills and commitment to excellence, and help shape the future of data-driven decision-making in the (re)insurance and financial services sectors.

Qualifications

• 3+ years of experience in statistical data analysis and feature engineering.
• Expertise in deep learning models and anomaly detection.

Responsibilities

• Analyze complex datasets and develop predictive models using advanced techniques.
• Create tools to visualize the impact of significant risk events.

Skills

Deep Learning Models

Statistical Data Analysis

Feature Engineering

Visualization

Hypothesis Testing

Clustering

Anomaly Detection

Leadership

Job description

RESPONSIBILITIES

1. Apply advanced quantitative techniques to analyze complex datasets and develop predictive models.
2. Develop, calibrate, validate, and stress-test probabilistic risk models for (re)insurance and financial services markets.
3. Design methods to assess the financial impact of various risks on single entities and large portfolios, focusing on diverse event types and supply chain risks.
4. Create and implement tools to visualize the impact of significant risk events.
5. Source, evaluate, and refine data features to improve probabilistic risk models.
6. Integrate and automate modeling processes within production pipelines.
7. Establish best practices for data validation, feature selection, and exposure modeling.
8. Drive best practices for a flexible and efficient modeling framework.
9. Communicate findings to stakeholders and collaborate on a technical level with clients.
10. Work closely with other Analytics teams, including Product Management, Engineering, and Client Engagement.

QUALIFICATIONS

1. Expertise in deep learning models, clustering, anomaly detection, and interpretability.
2. 3+ years in statistical data analysis, feature engineering, visualization, and hypothesis testing.
3. Strong leadership and mentoring skills, with a commitment to attracting top talent.

Apply For Data Scientist (remote) (ID# 40999)

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