Ready to make an impact? If so, read on!
The Research, Analytics and Development team has a great opportunity for a Data Scientist. As a Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and delivery of organizational value. You’ll analyze large datasets to further develop underwriting, marketing, claims, application and product optimization. You’ll work in a highly collaborative, team environment, and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization. The successful candidate leads the research of new business concepts, new products, new technologies, new data, and stays on the cutting-edge of innovation of the insurance industry. You’ll develop algorithms to target specific business objectives and create other business opportunities. Works with different functional teams, identifies and encourages innovation opportunities, and translates business needs to projects. Designs resource allocation processes to take potential innovations forward from the seed stage to development.
Required Qualifications:
BA/BS required in Economics, Statistics, Operations Research, Mathematics or related field.
Analyzes large, complex datasets and identifies meaningful patterns that lead to actionable recommendations.
Deep understanding and experience identifying, extracting, aggregating and synthesizing data from multiple sources to enable campaign optimization.
Superior coding skills using common data science tools, including Python (strongly preferred), R, Linux/Unix command line and shell scripting.
Excellent skill and significant experience in data processing using SQL, SAS, Hive, Impala, Spark, or equivalent querying language.
Strong experience with distributed storage and big data computing technology, such as AWS, Hadoop, or Spark.
Ability to work with cross departmental teams to define metrics, guidelines and strategies for effective use of algorithms and data.
Excellent communication skills and experience in working with stakeholders.
Passion for extracting hidden insights and building machine learning systems that enhance business outcomes.
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 recruiting, developing, and retaining the most talented individuals to further grow our team.
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 Total Rewards Program* includes:
**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 an equal opportunity employer. GEICO conducts drug screens and background checks on applicants who accept employment offers.
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GET THE BOOKGEICO looks for a Data Scientist in Chevy Chase, MD 20815 location.
The proposed salary for Data Analyst Jobs position at GEICO is Not disclosed.
According to the common industry standard, Data Analyst Jobs specialist is in charge for the following activities.
To be disscussed with candidate
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