Jr. Data Scientist

Overview

Founded in 2002 American Auto Shield is headquartered in CO, we specialize in 3rd party administration, providing nationwide coverage and claims services for vehicle and home service contracts offered through dealers, agents, direct marketers, membership organizations and lenders.

We continue to experience tremendous growth, which equates to fantastic opportunities for our employees. The JR Data Scientist will provide analytical support for our fast-growing vehicle service contract enterprise. The primary duties will center upon statistical learning and analysis of data from our various sellers and service offerings. The role will be focused on both basic and advanced statistical procedures to provide actionable insights and recommendations to senior management with an emphasis on data-driven business decisions.

Our five values are the heartbeat of American Auto Shield. These values are integrity, respectful, accountable, collaborative, and innovative.

The Jr. Data Scientist earns competitive compensation starting from $75,000.

This is a remote position. However, those residing within 50 miles of our Lakewood, CO office would be required to work a hybrid schedule with Tuesday, Wednesday, and Thursday onsite. 

Responsibilities

What You Will Do in This Role

• 40% - Shared Data Analytics with our primary client (consumer marketer and seller), focused on maximizing overall combined profitability of our client and AAS, while protecting AAS’ interests.
  • Help define organization of data for what end-users want/need to see
• 40% - Shared Data Engineering
  • Collaborate across teams to understand data structure and requirements.
  • Design and implement scalable and efficient data pipelines to extract, transform, and load (ETL) data from various sources for Data Science team consumption.
  • Continuously monitor and enhance data pipelines, identifying and resolving bottlenecks, and optimizing data retrieval and processing times.
  • Manage the Data Science teams cloud infrastructure.
• 20% - Develop and implement predictive analytics:
  • AI/ML development, testing and implementation.
  • Monitor and create analytic tools and metrics for managing:
• Customer Service and Claims customer satisfaction, efficiency, and accuracy.
• Underwriting and loss.
  • Includes developing methods to normalize data for reporting given seasonality, age of a contract, periods of staffing shortages/inexperience, events like COVID, etc.
• Data Science & Engineering Process:
  • Understand/Define Business opportunities and needs:
• Requirements gathering
  • Analytical Approaches
  • Data Requirements & Scope
  • Data Acquisition & Understanding:
• Web servers, Databases, API’s, Online sources
  • Data Preparation & Transformations
  • Exploratory Data Analysis
  • Data Modeling & Evaluation:
• Define and refine variables to be used in model development.
• Model Testing and Deployment in UAT and PROD user Environments.
• Model performance feedback
  • Communication with end-users.

Qualifications

What You Need to Join Our Team

• 2 years of experience in designing, developing, evaluating, and deploying statistical learning modeling including supervised and unsupervised learning.
• Experience in building comprehensive ETL data pipelines.
• Real world experience deploying data models into production environments.
• Experience with cloud computing platform, Microsoft Azure preferred.
• Advanced analytics using SQL, Python, OLAP queries, Excel, and other programming languages.
• Passion for extracting hidden insights from large datasets and building analytical systems and dashboards that enhance business outcomes.
• Statistics Analysis – understanding of test /control analysis, confidence intervals, etc.
• Ability to research and manipulate complex and large data sets (both distributed and non-distributed).
• Ability to solve complex business problems through a blend of logical and creative thinking – mental ambidexterity.
• Good communication skills with ability to synthesize complex information.
• Work experience in retail, e-commerce, merchandising, and marketing will be an added advantage.
• Ability to work in a fast-paced environment leading and controlling multiple projects simultaneously.
• Ability to work independently, make calculated risks and strategic decisions that are well thought out and analyzed.

Required Education/Certifications

• Bachelor of Science degree in a quantitative discipline, such as statistics, data science, computer science, applied mathematics, engineering, physics, etc.

Why work for us? We are excited to provide:

• Competitive compensation starting from $75,000*
• Discretionary Bonus opportunity
• Comprehensive benefits package
  • Medical
  • Dental
  • Vision
  • Short/Long Term Disability
  • Life Insurance
  • Flex Spending Account
• 401 (k) – company matches 4%- fully vested day 1**
• 80 Hours Year 1 of PTO
• 48 hours of Paid Sick/Wellbeing Time Off 
• Employee Assistance Program
• Voluntary Benefits
  • Pet Insurance
  • Life Insurance
• Wellness Program
• Employee recognition program
• Satisfaction of work with a highly skilled team that makes a big impact company-wide

Job LocationAlthough this position is remote, American Auto Shield is only set up to hire employees in certain states. To be considered for this role, you will need to have permanent residence in one of the following states:

• Arizona
• Colorado
• Florida
• Indiana
• Kentucky
• Kansas
• Missouri
• Ohio
• Oklahoma
• Tennessee
• Texas
• Virginia

*Individual compensation packages are based on various factors unique to each candidate, including skill set, experience, qualifications, and other job-related aspects.**Eligible the first of the month after the 1st 90 days

Salary : $75,000 - $0