Data Scientist II

Key Skills

Aartificial intelligence, AWS, Continuous Integration & Continuous Delivery - CI/CD, Data science techniques, Machine learning techniques, Python Programming, PyTorch, R Programming, Scikit-learn, SQL, TensorFlow

Job Description

GEICO is seeking a driven and analytically minded mid-level Data Scientist with a strong data science foundation and demonstrated expertise in machine learning and artificial intelligence. The ideal candidate will be a bridge between the intricate world of data analytics and the real-world challenges of the insurance sector. You will engage in solution implementation, advanced modeling, and analytical techniques to provide critical insights and drive data-driven strategic decisions.

Essential Functions:

• Modeling: Develop and deploy statistical, machine learning, and AI models to derive insights from vast datasets, improve underwriting, predict claims, and drive other key business outcomes.
• Research & Development: Stay abreast of the latest developments in data science, incorporating new techniques and methodologies into our processes to keep us ahead in the insurance industry.
• Exploratory Data Analysis (EDA): Dig deep into our data to uncover trends, anomalies, and opportunities, converting these insights into actionable recommendations.
• Solution & System Design: Architect, design, and help implement data-driven systems and platforms ensuring scalability, efficiency, and robustness.
• Project Planning & Leadership: Drive data-driven projects from conception to execution. Collaborate with cross-functional teams to ensure alignment, efficacy, and timeliness.
• Communication: Translate complex findings into understandable insights and present them to directors, managers, and other stakeholders. Facilitate data-driven decision-making across the company.
• Software Engineering & Data Engineering: Develop and maintain efficient data pipelines, ensuring data integrity, availability, and optimization. Collaborate with platform and data engineering teams to ensure seamless integration of models into production systems.

Key Competencies:

• Creativity: Able to think outside the box to find innovative solutions to complex problems.
• Intellectual Curiosity: Passionate about learning and staying updated with the latest developments in the field.
• Attention to Detail: Ensures precision and accuracy in all tasks and projects.
• Adaptability: Thrives in a fast-paced environment, adapting to changing business needs.
• Interpersonal Sensitivity: Works effectively in team settings, valuing and respecting the views and roles of others.
• Decision-Making: Makes sound decisions based on data, analysis, and experience.
• Strategic Thinking: Can envision long-term strategies and align day-to-day activities towards achieving them.

Requirements:

• A Master’s Degree in Data Science, Computer Science, Statistics, Mathematics, or a related field and at least 3 years of relevant work experience or a PhD in these fields with at least 1 year of relevant work experience.
• 3+ years’ experience with and solid proficiency in machine learning techniques and predictive modeling
• 3+ years’ experience with and solid proficiency in a programming language such as Python, R, and SQL.
• 2+ years’ experience with machine learning frameworks and tools like TensorFlow, PyTorch, Scikit-learn, etc.
• 1+ years’ experience with big data processing tools such as Apache Spark and snowflake
• 1+ years’ experience with cloud-based services such as AWS or Microsoft Azure, and exposure to deployment of AI/ML services via CICD pipelines and K8 clusters

Benefits:

As a full time associate, you’ll enjoy our Total Rewards Program* to help secure your financial future and preserve your health and well-being, including:

• Premier Medical, Dental and Vision Insurance with no waiting period**
• Paid Vacation, Sick and Parental Leave
• 401(k) Plan
• Tuition Assistance including Direct Billing and Reimbursement payment plan options
• Paid Training, Licensures, and Certificates