[Hiring] Data Scientist @hireVouch

Role Description

As a Senior Data Scientist, you will play a pivotal role in our data science efforts, with responsibilities including, but not limited to, the following:

• Advanced Analytics: Apply state-of-the-art data science techniques to analyze and extract meaningful insights from vast and diverse datasets.
• Predictive Modeling: Develop and implement advanced predictive models to forecast key risk factors relevant to insurance and potentially other use cases.
• Collaboration: Collaborate closely with our data engineers, product managers, and other business stakeholders to translate data insights into actionable strategies and solutions.
• Data Visualization: Create compelling data visualizations and reports to communicate findings effectively to both technical and non-technical audiences.
• Research and Innovation: Stay at the forefront of data science research, exploring new methodologies and technologies to drive innovation within the company.

Qualifications

• 3-5 years proven track record as a Data Scientist working with large datasets (e.g., millions of rows), from prototyping to business impact, analytics and ML use cases.
• Deep understanding of machine learning and statistical methods with their underlying theory and math.
• Demonstrated experience in building, deploying, and showing business value from predictive models and data products.
• Highly proficient in Python.
• Proficiency in SQL databases, understanding schemas, and data types.
• Real-world experience with at least one distributed data platform (preferably Spark).
• Solid software development experience, including translating ML models into production software, especially in collaboration with other engineers.
• MS or PhD in a quantitative discipline, especially Statistics, Math, or similar.
• Strong communication skills.

Requirements

• Deep Learning, especially Transformers.
• Experience with GLMs, including for actuarial frequency applications.
• Boosting algorithms (CatBoost, XGBoost, etc).
• Experience with distributed machine-learning frameworks, like Spark, etc.
• Creating data pipelines for analytics or ML applications.
• Experience using AWS (EC2, EMR, S3, etc) or similar cloud provider (Google, Azure, etc.).
• Resourceful self-starter and team player with strong leadership skills.
• Uncompromising attention to details.
• Proven ability to be creative and resourceful in a fast-paced, entrepreneurial environment.
• Must be comfortable working independently.
• React well and quickly to frequent project demands and requirement changes.
• Excellent analytical, troubleshooting, and problem-solving skills.
• Strong written and communication skills and positive attitude working with customers and partners.