GEICO's Decision Sciences team is embarking on a mission to transform GEICO's business decision process by harnessing the power of Big Data through predictive analytics and innovative machine learning models. We are seeking a Lead Data Scientist to direct a team of data scientists who support systems and business optimization through detailed analysis of GEICO's data. The Data Scientist team drives strategic business initiatives by researching, analyzing and interpreting data; developing algorithms to evaluate customer behavior and identify areas of opportunity; presenting analysis and recommendations; and participating with business units and IT to deliver innovative, actionable business models. The Lead Data Scientist will be responsible for assisting in the definition of data mining and machine learning strategies and the execution of corresponding procedures.
Participate with, and direct the work of, a team of data scientists to find solutions for business problems through the use of data.
Streamline program analysis procedures in SQL, SAS, R, Pig, Python, Apache Mahout or other chosen languages.
Define and develop machine learning and data mining strategies.
Create, deploy, maintain and refine decision management models.
Perform study and discovery of new data sources or new uses for existing data sources.
Participate in the design and implementation of statistical data quality procedures.
Interpret and implement data findings creatively in a variety of formats.
Assess and cultivate long-term strategic goals for Business Intelligence development in conjunction with Management, Engineers and other Data Scientists.
Work closely across an array of various teams and organizations in the company to champion Big Data technologies and advanced analytics.
Work with cross departmental teams to define metrics, guidelines and strategies for effective use of algorithms and data.
A background in data mining, machine learning and distributed computing is desired.
Bachelor's or Master's Degree in Statistics, Data Science, Computer Science or Mathematics.
Working knowledge of Hadoop, Pig, Hive and MapReduce.
Experience with Python, Perl or other scripting language.
Familiarity with object-oriented programming concepts. Experience in Java or C++ is a plus.
Demonstrated proficiency with statistical computing languages such as R, MATLAB, etc.
Experience with integrating large-scale heterogeneous datasets.
Expertise with statistical research techniques, including modeling, data mining, clustering and segmentation.
Excellent interpersonal skills and ability to communicate effectively with third parties and internal staff at all levels of the organization.
Strong analytical and problem solving skills.
Excellent organization and time management skills.
A proven record as a team player plus the ability to work independently given general direction.
How To Apply
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Driving your career. Insuring your future.
For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace.
Our associates' quality of life is important to us. Full-time GEICO associates are offered a comprehensive Total Rewards Program*, including:
* 401(k) and profit-sharing plans
* Medical, dental, vision and life insurance
* Paid vacation, holidays and leave programs
* Tuition reimbursement
* Associate assistance program
* Flexible spending accounts
* Business casual dress
* Fitness and dining facilities (at most locations)
* Associate clubs and sports teams
* Volunteer opportunities
* GEICO Federal Credit Union
* Benefit offerings for positions other than full-time may vary.
GEICO is an equal opportunity employer. Background and credit checks, hair or urine drug testing, and health assessments are required as part of our pre-employment process.