Data Scientist I

Key Skills

Aartificial intelligence, Apache Airflow, AWS, Azure, Data Analysis, Data Biuld Tool - dbt, Data Engineering, Data pipelines, Data science techniques, Databricks, Docker, Effective communication skills, Kubernetes-K8s, Leadership Skill, Machine learning techniques, Python Programming, PyTorch, R Programming, Scikit-learn, SQL, TensorFlow

Job Description

We are seeking a driven and analytically minded Data Scientist with a strong data science foundation and 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 advanced modeling and analytical techniques to provide critical insights and drive data-driven strategic decisions. You will also contribute responsible, trustworthy and safe use of AI and ML solutions throughout the organization.

Essential Functions:

Data Analysis and Exploratory: Perform exploratory data analysis to understand the nuances, patterns, and anomalies within the data. Draw meaningful conclusions from raw data sources, preparing them for modeling. Modeling and R&D: Develop, validate, and deploy machine learning, statistical, and AI models to predict, classify, and optimize various business outcomes. Solution and System Design: Design end-to-end solutions and systems that transform raw data into actionable business insights. Project Planning & Leadership: Drive assigned projects, ensuring they are completed on time and within scope. Collaborate with cross-functional teams, demonstrating leadership and a team-first attitude. Domain Expertise: Stay updated with the latest trends in the insurance sector. Use this knowledge to ensure that the solutions designed are relevant and timely. Communication: Articulate findings, insights, and recommendations to peers, managers, and non-technical stakeholders in a clear and concise manner. Software Engineering & Data Engineering: Implement robust and scalable solutions. Work closely with the data engineering team to automate data extraction, transformation, and loading processes.

Key Competencies:

• Creativity: Ability to approach problems in novel ways and think outside the box.
• Intellectual Curiosity: Unending desire to learn and understand new concepts and techniques and apply these to assigned projects.
• Attention to Detail: Ensure the accuracy and reliability of results.
• Adaptability: Ability to thrive in a dynamic, fast-paced environment.
• Interpersonal Sensitivity: Build strong relationships with peers and stakeholders, understanding their needs and concerns.
• Decision-Making: Analyze situations, consider alternatives, and choose the best course of action.
• Strategic Experience: Ability to see the bigger picture and align tasks with the company’s long-term goals.

Requirements:

• A Master’s Degree in Data Science, Computer Science, Statistics, Mathematics, or a related field and at least 2 years of relevant work experience or a PhD in these fields with 0 years of work experience.
• 2+ years’ experience with and solid proficiency in machine learning techniques and predictive modeling
• 2+ years’ experience with and solid proficiency in a programming language such as Python, R, and SQL.
• 1+ years’ experience with machine learning frameworks and tools like TensorFlow, PyTorch, Scikit-learn, etc.

Preferred:

• A PhD in Data Science, Computer Science, Statistics, Mathematics or a related field.
• Familiarity with responsible/ethical use of AI and machine learning.
• Experience with workflow design and its automation.
• Experience with SharePoint Power Automate and Power Apps.
• Experience with Azure, Databricks, Realtime deployment, Kubernetes, and cloud-based services such as AWS or Microsoft Azure are a plus

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

Benefits may be different by location. Benefit eligibility requirements vary and may include length of service.

Coverage begins with the pay period after hire date. Must enroll in New Hire Benefits within 30 days of the date of hire for coverage to take effect.

GEICO is proud to be an equal opportunity employer. We are committed to cultivating an environment where equal employment opportunities are available to all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO celebrates diversity and believes it is critical to our success. As such, we are committed to recruit, develop and retain the most talented individuals to join our team