Sr. Data Scientist / Researcher

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Think that working in the insurance field cant be exciting, rewarding and challenging? Think again. Youll help us reinvent protection and retirement to improve customers lives. Well help you make an impact with our training and mentoring offerings. Here, youll have the opportunity to expand and apply your skills in ways you never thought possible. And youll have fun doing it. Join a company of individuals with hopes, plans and passions, all using and developing our talents for good, at work and in life.

Job Description

Allstate is looking to hire researchers to join our Innovation team at our downtown Chicago and Menlo Park (SF Bay area) locations.

Our team works on a diverse set of data including accident data, location data, computer vision, mobility data and demographics. We utilize machine learning to create safety solutions and cutting-edge risk assessment platforms. This is a great opportunity to work with a talented team of some of the world's leading experts to build solutions that not only are groundbreaking, but also help make driving safer to save lives. We pride ourselves in extracting insight from data.

The Researcher will develop novel models, algorithms and techniques that can leverage both structured and unstructured data to solve challenging problems like Accident avoidance and risk prediction for traditional insurance products. He/she will also assist in efforts to extract, clean, munge, evaluate, analyze and visualize a host of internal and external datasets using machine learning and statistical analysis and communicate to both internal and external stakeholders.

Key Responsibilities

• Investigate the technical problem and solution space, explore analytical and experimentation approach to find solution and articulate proof of concept.
• Investigate technology trends, industry advancements and application of those technologies within our solution space. A strong passion for empirical research is a necessary trait.
• Collaborate in a fast-changing environment and communicate clearly and effectively with colleagues who range from academic researchers, data scientists, developers, Dev-Ops and hardware engineers, and product managers.
• Present findings and publish papers on enterprise specific topics at meetings and conferences.
• Prepare and deliver presentations and/or training sessions to share insights from research, software, tools or procedures to internal and external audience on a periodic basis.
• Develop models, algorithms and processes to streamline activities and solve business challenges resulting in advanced product development.

Job Qualifications

• Masters or PhD in computer science or a highly quantitative discipline.
• Advanced knowledge of modeling, machine learning, deep learning, designing algorithms, and cloud computing to support high volume and low latency-sensitive data.
• Mastery of at least one of the following languages: R, Python and Scala.
• Knowledge of advanced data processing/real time systems using tools such as Spark, Flume, Kafka and Akka.
• Proficiency in statistical methods and analysis including a deep understanding of regression and classification techniques.
• Proficiency in SQL and database management: create, edit, update, join, append and query data from relational DBs and big data platforms.
• Proficiency with data visualization and graphics tools for the creation of professional presentations, reports, web content, or education materials.
• Genuinely excited and enthusiastic about learning and pushing technical limits when finding new solutions.
• Ability to create and maintain good working relationships and collaborations while being able to work independently and take initiative.
• Experience/knowledge in model optimization, evaluation, comparison, validation and selection.

  Preferred Skills:

• Background as an actuary or in insurance price/loss modeling is a plus.
• Experience related to ADAS, vehicle systems, and mobility is a plus but not necessary.
• Experience in predictive model development, machine learning (MLlib, Mahout) and visualization tools of complex data is desired
• Experience in publishing Academic papers and filing patents is also a plus.

The candidate(s) offered this position will be required to submit to a background investigation, which includes a drug screen.

Good Work. Good Life. Good Hands.

As a Fortune 100 company and industry leader, we provide a competitive salary but thats just the beginning. Our Total Rewards package also offers benefits like tuition assistance, medical and dental insurance, as well as a robust pension and 401(k). Plus, youll have access to a wide variety of programs to help you balance your work and personal life -- including a generous paid time off policy.

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Allstate generally does not sponsor individuals for employment-based visas for this position.

Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.

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It is the policy of Allstate to employ the best qualified individuals available for all jobs without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identity/gender expression, disability, and citizenship status as a veteran with a disability or veteran of the Vietnam Era.