Job description
Americor is an innovative finance technology company with a unique approach to debt resolution. Americor focuses on getting Americans out of debt quickly and responsibly so they can take control of their lives again. Our employees love coming to work and find value in what they do, consistently recognizing Americor as a top place to work. With over a decade of experience paired with a number of best company awards, Americor has relieved over $2 billion in debt for over 200,000 Americans.
We are seeking an enthusiastic Sr. Data Scientist to join our team, with a specific focus on marketing optimization and machine learning productionisation. This role is ideal for someone who thrives at the intersection of data science, cloud engineering and business strategy.
In the role, you’ll work closely with stakeholders across Marketing, Sales, Data and Product to build predictive models, scale model implementation in AWS and translate model performance into insights and actions for executive leadership.
Responsibilities:
- Perform extensive exploratory analyses across all the marketing channels
- Develop, test, productionalize, monitor and maintain propensity models to optimize marketing investment and customer acquisition in AWS leveraging S3, Lambda and SageMaker
- Productionize machine learning models with real-time and distributed batch scoring
- Proficiency with MLOps practices and tools for model versioning, monitoring, CI/CD pipelines
- Build dashboards in Tableau to communicate model trends, insights and performance
- Identify new areas of opportunity and ideate with stakeholders on new projects
- Stay current with industry best practices and emerging ML technologies
- Other duties as assigned
Education & Experience:
- 5+ years of experience applying ML within lead generation and digital marketing
- Advanced AWS experience; solutions architect certification or equivalent expertise preferred
- Advanced proficiency with XGBoost, Neural Networks, and other ML techniques
- Advanced Python, SQL and Tableau
- Excellent storytelling and presentation skills
- Proven ability to position oneself to advise and teach across a data organization
- Bachelor’s degree in Applied Mathematics, Computer Science, Physics, or equivalent experience; Master’s preferred
Additional Benefits:
- Career path
- Medical
- Dental
- Company paid group life / AD&D insurance
- 7 paid holidays and 2 flex days to use at will
- Paid time off
- Flexible spending/HAS
- Employee Assistance Program (EAP)
- 401(k)
- Referral program
Compensation: $120,000-$150,000 annually, depending on experience.
Work Location: Hybrid/Remote- Irvine, CA.
Americor is proud to be an Equal Opportunity Employer. Americor does not discriminate based on race, color, gender, disability, veteran, military status, religion, age, creed, national origin, sexual identity or expression, sexual orientation, marital status, genetic information, or any other basis prohibited by local, state, or federal law.
\* Note to Agencies: Americor Funding, Inc. (the “Company”) has an internal recruiting department. Americor Funding Inc. may supplement that internal capability from time to time with assistance from temporary staffing agencies, placement services, and professional recruiters (“Agency”). Agencies are hereby specifically directed NOT to contact Americor Funding Inc. employees directly in an attempt to present candidates. The Company’s policy is for the internal recruiting team or other authorized personnel to present ALL candidates to hiring managers. Any unsolicited resumes sent to Americor Funding Inc. from a third party, such as an Agency, including unsolicited resumes sent to a Company mailing address, fax machine, or email address, directly to Company employees, or to the resume database, will be considered Company property. Americor Funding Inc. will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. Americor Funding Inc. will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees.
