Company is an innovative finance technology company with a unique approach to debt resolution. Company 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 Company as a top place to work. With over a decade of experience paired with a number of best company awards, Company 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.

• 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

• 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

• 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
• Proficiency with MLOps practices and tools for model versioning, monitoring, CI/CD pipelines
• Required Experience:
• 5+ years of experience applying ML within lead generation and digital marketing
• Required Education:

Bachelor's degree in Applied Mathematics, Computer Science, Physics, or equivalent experience; Master’s preferred

• 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.

Note to Agencies: Company Funding Inc. has an internal recruiting department and may, at times, supplement that capability with assistance from temporary staffing agencies, placement services, and professional recruiters (“Agency”). Agencies are directed not to contact Company Funding Inc. employees directly to present candidates. It is the Company’s policy that all candidates must be presented to hiring managers exclusively by the internal recruiting team or other authorized personnel. Any unsolicited resumes sent to Company Funding Inc. by an Agency—including those sent to any Company mailing address, fax, email, employee, or the resume database—will be considered the property of the Company. Company Funding Inc. will not pay a fee for any placement resulting from an unsolicited resume. Any candidate for whom an Agency submits an unsolicited resume will be deemed referred at no cost to the Company. Company is proud to be an Equal Opportunity Employer. Company 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. zHqbp6k6Br