Data Scientist 3

Job Description

Aioi Nissay Dowa Insurance Services USA Corporation (“Aioi USA” or “AIS”) is part of the MS&AD Insurance Group which is one of the leading insurance companies worldwide and is a Toyota affiliated company providing Toyota Insurance in 37 different countries/areas. Aioi USA specializes in Research and Development of new technologies that can be used by both the automotive and insurance industries in collaboration with sister company, MOTER Technologies.

MOTER Technologies, Inc. is developing new technologies to unlock the world of connected car data for the automotive, mobility and insurance ecosystems. Our advanced data science and software platform creates new insights from vehicle data to power the next generation of risk analytics and insurance solutions. The technology and business platform allow automakers to finally realize their connected car data monetization goals and improve their ROI in this growing space.

Job Overview:

This role is responsible for guiding the use of data to build business and customer-facing products for Aioi USA and MOTER Technologies. This includes the coding and development of tools that use machine learning and predictive modeling to identify driving behavior patterns, searching for and integrating new data (both internal and external) that improves our modeling and machine learning results, and discovery of solutions to business problems that can be solved using machine learning/predictive modeling.

Key Responsibilities:

Works with research team to identify data requirements, available data sources (internal and external) and expected outcomes for vehicle and truck research and experiments.

Recommends and supports data collection, integration, and retention requirements by assessing the effectiveness and accuracy of data sources and data collecting techniques.

Explores and finds meaning in high volumes of data and extracts actionable insights. Executes data querying, data cleansing, and experiment design.

Applies advanced statistical and predictive modeling techniques and machine learning to validate findings, and to build, maintain and improve models, using an iterative approach.

Draws from prior experience and technical expertise to identify improvements and inform testing plans; breaks overall goals down into underlying problems that can be prioritized and solved. Executes and monitors project plans for timely project completion.

Uses best practices to develop high-performing models that comply with regulatory and privacy requirements that also satisfy business goals and customer needs.

Produces documentation and reports, both technical and non-technical. Presents actionable research, ideas, progress reports and results to internal managers and executives.

Maintains and enhances the quantitative pipeline required for quickly moving proof-of-concepts into production. Owns end-to-end data science projects from the exploration phase to implementation in production to post-production monitoring. Coordinates internally to develop rigorous pre- and post-deployment frameworks and integration.

Guides advanced research for insurance and other products, including utilizing vehicle data for risk differentiation, as well as other related IoT data. Research deep learning methods for calibration and fusion of vehicle and truck data, including sensor data and camera data.

Continuous improvement of the predictive power of models. Constantly searches for new features for products, including auto insurance, vehicle cyber risk, risk management, and more, using both traditional and non-traditional data sources, as well as building complimentary models for financial products.

Provides ongoing tracking and monitoring of performance of the statistical models, recommends ongoing improvements to methods and algorithms that lead to findings, including new information.

Reviews and evaluates appropriateness of techniques, given current modeling practices, to senior leadership. Communicates findings to team and leadership to ensure models are well understood and incorporated into business processes. Works to ensure the project will meet needs.

Uses and learns a wide variety of tools and languages to achieve results.

Guide and mentor other data scientists and engineers as needed on best practices for the design and implementation of innovative solutions. Propel data science research as a thought leader to shape next-gen solutions.Minimum Qualifications:

Master’s degree or higher in a quantitative discipline, such as statistics, mathematics, data science, economics, Actuarial science, or computer science

3+ years of experience in data analytics

Experience with cloud services (AWS preferred)

Proven hands-on expertise in ETL pipeline on big data

Experience with big-data tools such as Hadoop or Spark

Ability to code in Python, SQL

Experience in data modeling and predictive analytics

Experience in data visualization tools such as QuickSight or Tableau

Hands-on expertise on big data

Experience building deep learning models using Keras or TensorFlow

Preferred Qualifications:

Knowledge of statistical modeling, machine learning, mathematical optimization, and/or data aggregation

Expertise in A/B testing, and statistical analysis (hypothesis testing, experimentation, regressions)

Ability to solve problems, think critically, and communicate effectively with both technical and business stakeholders

Ability to learn new technology

Experience in NLP and LLM

Office Location:

Torrance, CA

Hybrid (Tues & Thurs in office)

Degree of Travel:

10%

Compensation:

For California-based hires:

Estimated annual salary ranges from $100,000 to $130,000

Benefits:

We offer robust benefits, including health, dental, vision and generous paid time off and 401(k) with a company match

On-demand mental health and medical support through Teladoc

Gym membership discount

Free catered office lunch and office snacks

Flexible office hours

Health and wellness focused work environment with team socials

Casual dress code

Training and development to invest in you and take you from great to greater!

Job Dimensions:

Applicants must be legally authorized to work permanently in the U.S. at the time of application.

Other Duties:

The preceding job description is not intended to be all inclusive of the multitude of tasks that may be assigned, but rather to provide a general overview of the expectations and responsibilities of this position. As the nature of business demands change, so may the functions of this position. Additional duties and responsibilities may be assigned.

EEO/AA/M/F/Vet/Disability Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

AIS is an Equal Opportunity Employer:

For an accommodation or special assistance with applying for a posted position, please contact our Human Resources department at .

FLSA Job Status: Exempt Non-Exempt