Job description
This is a remote position. We are currently unable to consider candidates located in the following states: California, Oregon, New York, Illinois, Washington, District of Columbia or Outside the United States.
ABOUT US
AUTOPAY is an innovative FinTech company that is powering finance in the age of mobility. We function as a virtual Finance & Insurance office, finding our customers the perfect lender for their car loan or refinance. This means we’re able to solidify our customers’ auto loans prior to going to the dealership, and our marketplace of lenders ensures they get the lowest rate available.
WHY WORK WITH US
We come from all kinds of backgrounds and experiences to create something new: A better way to do car loans. We support a casual work environment, positive work culture, and develop our talent to become successful leaders. Our core values of Hard Work, Optimism, Growth, and Integrity help us create a collaborative team mindset and a better place to work.
SUMMARY
As a Data Analyst I (ML) at The Savings Group, you will support our data science initiatives by preparing data for analysis, conducting statistical evaluations, developing models under the guidance of senior team members, and assisting in implementing and monitoring machine learning solutions. This role is ideal for an early-career candidate looking to apply and grow their skills in analytics, machine learning, and AI within a collaborative environment. You will work closely with the Lead Data Scientist and other cross-functional teams to extract insights from data and contribute to projects that influence business outcomes.
ESSENTIAL JOB FUNCTIONS AND RESPONSIBILITIES
Assist with collecting, cleaning, and preprocessing data for use in modeling and analysis.
Collaborate with the Lead Data Scientist to explore business problems and identify opportunities for predictive modeling.
Build and evaluate basic machine learning models, support development of more complex algorithms.
Create visualizations and reports that clearly communicate findings to stakeholders.
Help monitor performance and accuracy of deployed models, support ongoing improvements and recalibration.
Conduct literature reviews and evaluate emerging ML/AI techniques and tools relevant to current projects.
Document methodologies, workflows, and findings for transparency and knowledge sharing.
Support cross-functional initiatives with data-driven insights and automation solutions
SKILLS/REQUIREMENTS:
- Degree (or near completion) in Data Science, Computer Science, Mathematics, Engineering, or a related field (master’s or higher degree preferred but not required).
- 2-5 years of applicable work experience.
- Hands-on experience with data analysis, statistical methods, and machine learning fundamentals.
- Proficiency in Python (preferred) and relevant libraries (e.g., pandas, scikit-learn, matplotlib).
- Familiarity with SQL and working with relational databases.
- Knowledge of common data visualization tools (e.g., Tableau, Power BI, or open-source alternatives).
- Strong analytical and problem-solving abilities, with attention to detail.
- Excellent communication skills, both written and verbal.
- Eagerness to learn and collaborate within a team setting.
BENEFITS
- 401K Savings Plan
- Paid Time Off and Paid Holidays
- Four Health Insurance Plan Options
- Flexible Spending and Health Savings Accounts
- Dental and Vision Insurance
- Long-term Disability and Life Insurance
- Casual Professional work environment.
COMPENSATION
This position pays an annual salary of $90,000. Schedule: Monday-Friday 8 AM-5 PM.
WORKING ENVIRONMENT
Virtual office environment.
MACHINES, TOOLS, EQUIPMENT AND WORK AIDS
Computer workstation and/or laptop, phone, copier and fax.
Job description statements are intended to describe the general nature and level of work being performed by employees assigned to this job title. They are not intended to be construed as an exhaustive list of all responsibilities, duties, and skills required.
The Savings Group (including all its subsidiaries: AUTOPAY, RateGenius Loan Services, Inc., and Innovative Funding Services dba Tresl) is an equal opportunity employer. With regard to hiring and promotions, qualified persons will not be denied employment opportunity based on race, color, national origin, religion, sex, sexual orientation, gender identity, marital status, age 40 and over, disability, military status, or genetic information. Any questions or concerns about our EEO policy should be directed to Human Resources
