Arity - Senior Data Scientist

At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. 

Job Description

Arity is a part of the Allstate Corporation, which means we have the same innovative drive that keeps us a step ahead of our customers’ evolving needs. We collect and analyze enormous amounts of data in order to provide cutting-edge solutions to companies invested in transportation.
At Arity, our Analytics team is at the core of helping us transform mobility. They not only know how to analyze and find meaning within the data, but are passionate about how it affects the end-users of our products. They work with a treasure trove of massive data sets every day—after all, Arity is constantly collecting and deciphering billions of miles of driving data. And as our data continues to grow by the second, our Analytics teammates grow right alongside it. We give them the opportunity to model and visualize that data to create innovative products, working side-by-side with our diverse product teams. The insights uncovered by the Analytics team help catalyze groundbreaking solutions for our customers and are a driving force in making transportation smarter, safer, and more useful for everyone. Personally, we think that’s pretty game-changing stuff.

The Role:
The Data Scientist will join a team of data scientists and data engineers to help the team derive value from our most tremendous asset – data. The successful candidate will build pipelines, create models and find new signal from our wealth of telematics, insurance, and other third-party data sources. This person will ideate and follow through with analytical approaches that support our team products. To do so, they will fully utilize their data science skills, their coding and engineering expertise, and their unique point-of-view.

Responsibilities:

Your day-to-day work looks like:

• Creating and deploying advanced algorithm, machine learning models and processing pipelines using a variety of libraries/tools and cutting-edge techniques

• Exploring new data sources to create novel predictors of driving risk and other insurance metrics

• Working closely with data engineers and actuaries to refine product offering

• Establishing and following data science best practices including peer review, code review, documentation, coding standards, and ensuring reproducibility and compliance

• Analyzing large amount of data sets using distributed computing frameworks

• Communicating results to key stakeholders in a clear and compelling manner

• Expanding their data science and engineering skillset through development opportunities and learning innovative tools and techniques

Qualifications:

We are looking for a team member that has the following traits:

• A Bachelor’s degree with 4+ years of industry experience, or a Master’s/PhD with 2+ years of experience as a Data Scientist or Machine Learning Scientist. More qualified candidates will be considered for a more senior position.

• 4 or more years of experience applying data science and analytics techniques to solve business problems.

• Insurance industry experience is desired but not required.

• Strong programming skills in Python and Spark/SQL (or equivalent big data tools), with experience in: Large-scale data processing, Production-level engineering for ML solutions and cloud platforms (e.g., GCP, AWS, Azure)

• Ability to translate complex product requirements into well-defined analytical problems and deliver actionable solutions.

• Strong communication skills, with the ability to explain technical concepts and data insights to stakeholders with varying levels of expertise.

• Detail-oriented, double checks data/work against expectations, and takes pride in good documentation

• An innate curiosity and ability to learn new techniques and technologies

Skills

Analytical Thinking, Artificial Intelligence Markup Language, Business Model Development, Business Process Development, Data Analytics, Data Science, Datasets, Machine Learning, Machine Learning Algorithms, Predictive Analytics

Compensation

Compensation offered for this role is $95,700.00 - 170,925.00 annually and is based on experience and qualifications.

The candidate(s) offered this position will be required to submit to a background investigation.

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.

For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance.
For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.

To view the “EEO is the Law” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs

To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.

It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.