Machine Learning Scientist

Key Skills

Aartificial intelligence, Apache Airflow, 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, Scikit-learn, SQL, TensorFlow

Job Description

We are seeking a driven and analytically minded mid-level Machine Learning Scientist to join our forward-thinking team, where your passion for data-driven innovation and mastery in programming will be central to reshaping the insurance industry. At GEICO, you'll be at the forefront of integrating cutting-edge machine learning and advanced data engineering. Your role will be pivotal in connecting complex data ecosystems and APIs to solve real-world challenges. Collaborate with a dynamic team of Data Scientists and ML experts in crafting and implementing AI-driven solutions that not only enhance our operational efficiencies but also set new benchmarks in industry innovation. Dive into large, intricate datasets, and leverage your skills to make a significant, measurable impact in a field where your work will be seen and felt

Essential Functions:

• Software Engineering & Data Engineering: Develop and maintain efficient data pipelines that source structured and unstructured data from various sources, ensuring data integrity, availability, and optimization. Collaborate with platform and data engineering teams to ensure seamless integration and deployment of models into production systems.

• Solution & System Design: Work with Data Scientists and other ML Scientists to gather requirements, architect, design, and help implement data-driven systems and platforms ensuring scalability, efficiency, and robustness.

• 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.

• 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.

• 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.

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 Bachelor’s Degree in these fields with at least 5 years of relevant work experience

• 3+ years’ experience with and solid proficiency in a programming language such as Python and SQL.

• 2+ years’ experience with data orchestration workflow tools such as DBT, Airflow etc.

• 2+ years’ experience with Massive Parallel Processing techniques and tools like Spark

• 2+ years’ experience with machine learning frameworks and tools like TensorFlow, PyTorch, Scikit-learn, etc.

• 2+ years’ experience developing and deploying real-time APIs

• 1+ years’ experience working with public cloud preferably Azure, Databricks, Docker, Kubernetes and real-time deployments

• Exposure to machine learning techniques and predictive modeling

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