Arity - Data Scientist - Arity

At Arity, analytics is at the heart of what we do. We are looking for a Data Scientist to join our incredible Insurance Analytics team. Our team builds analytical products and solutions in the insurance space such as driving scores, mobility attributes, and claims outcome predictions. Our analytics community is made up of passionate and talented individuals and leaders with diverse backgrounds. We believe in a culture of recognition of good work, continuous learning, succeeding together, and having fun along the way.

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 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 expertise, and their unique point-of-view.

The day-to-day work of a Data Scientist include:

• Creating and deploying models and/or supporting existing models in market
• 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
• Expanding their data science skillset through development opportunities and learning innovative tools and techniques

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

• 2 or more years of experience applying data science and analytics techniques to solve business problems. More qualified candidates will be considered for a more senior position.
• Insurance industry experience is desired but not required.
• A background in data science, analytics, statistics, mathematics, actuarial science, or related fields.
• Experience creating statistical or machine learning models for business
• Thorough understanding of how to work efficiently with large, complex data
• Excellent coding skills in Python or R. SQL/Spark experience is a plus.
• Familiarity with distributed computing is a plus.
• Familiarity with working in a server environment.
• Experience working on cloud platforms (e.g., GCP, AWS, Azure) is a plus.
• Thrives working in a team environment
• Enjoys communicating and collaborating with others
• 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

#LI-JB2

Skills
Analytical Thinking, Computer Science, Data Analysis, Data Science, Machine Learning, Mathematics

Compensation
Compensation offered for this role is $78,600.00 - 142,275.00 annually and is based on experience and qualifications.
The candidate(s) offered this position will be required to submit to a background investigation.

Joining our team isn't just a job - it's an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. And one where you can impact the future for the greater good.

You'll do all this in a flexible environment that embraces connection and belonging. And with the recognition of several inclusivity and diversity awards, we've proven that Allstate empowers everyone to lead, drive change and give back where they work and live.

Good Hands. Greater Together.

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.