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GEICO Technology Solutions, GEICO's Site Reliability Engineering (SRE) team uses machine learning and predictive analytics to improve system reliability to create a superior customer service experience.
We work with the major lines of business at GEICO that deliver mission-critical applications to our agents and our customers. The predictive models ingest machine data from many systems and application sources to build an understanding of the system components that affect customer experience. The SRE team support projects through the entire lifecycle, from problem definition to data exploration, modeling, analysis, and deployment into production. We work in a highly collaborative environment across teams to ensure the model is working as expected and continually tune and address issues as they arise in our changing environment.
We are looking for a Systems professional/DevOps Engineer with strong data analytical skills to help develop models that take advantage of Machine Learning/Artificial Intelligence to detect issues before they impact the customer experience. The candidate must have strong analytical skills to gain insights from a myriad of application monitoring and telemetry data in the area of Cloud computing, Microsoft Azure, Dynatrace SaaS, Splunk and SQL Server, and CosmosDB. The candidate must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in data sets and working with stakeholders to improve business outcomes. Experience
- Experience with Machine Learning, familiarity with algorithms such as Linear Regression, Random Forest as well as experience with Deep Learning
- Experience with Python, in particular with libraries like sci-kit learn, pandas, numpy, tensor flow, pytorch, statsmodels
- Experience with building KPIs in Splunk ITSI
- Experience with Splunk MLTK, Splunk Deep Learning Toolkit
- Experience with Anomaly Detection
- Understanding of Forecasting, familiarity with time series algorithms such as ARIMA
- Experience with Azure and AWS(Preferably certified)
Expected Qualifications:
- Bachelor's degree in computer science or in a quantitative discipline, such as statistics, data science, mathematics, engineering, physics, etc. Advanced degrees preferred
- 2+ years of combined academic/industry experience with predictive modeling, machine learning, advanced analysis
- Strong programming skills using common data science tools such as Python (strongly preferred).
- Strong skills in data processing using SQL (preferred)
- Solid understanding and experience with advanced statistics and modern machine learning predictive techniques
- Strong skills with Microsoft Azure Cloud Computing Services, Microsoft App Insights, Microsoft Azure Log Analytics, Splunk, Splunk ITSM (preferred)
Benefits:
At GEICO, we make sure you have the support and resources to leverage and develop your skills, secure your financial future, and take care of your health and well-being. GEICO continually seeks to provide a workplace where everyone can be their authentic self. To help achieve this goal, we support associate-led Employee Resource Groups that foster a true sense of community. Through GEICO's competitive benefits offerings and various training and development opportunities, we have you covered with our * that includes:
- Premier Medical, Dental and Vision Insurance with no waiting period**
- Paid Vacation, Sick and Parental Leave
- 401(k) Profit Sharing 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.
The safety of our associates, both current and future, is GEICO's highest priority. At this time, most of our associates are working remotely due to the current COVID-19 pandemic. Candidates who are selected for this position will be trained remotely and must be able to work from home in a designated work area.
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. #AJ19 |
GEICO
December 10, 2022