Applied Scientist

About This Opportunity

We are representing a confidential fintech client in their search for an Applied Scientist to join their Machine Learning Growth team. This role focuses on developing causal machine learning models that optimize customer acquisition across marketing channels, with opportunities to expand into new use cases and product lines.

Location: Remote (Anywhere in the World)

Responsibilities

• Analyze historical model and campaign performance to identify opportunities for improvement in model effectiveness and marketing outcomes
• Develop and evaluate machine learning models, researching new features and architectures to improve prospect selection and support new marketing use cases
• Design statistically rigorous experiments and model evaluations to measure causal impact, optimize campaign outcomes, and inform strategic decisions
• Navigate complex datasets and build reusable data pipelines, metrics, and analytical approaches that enable efficient model development
• Partner with Machine Learning, Growth, and Engineering teams to translate business problems into research agendas and production-ready solutions
• Expand machine learning capabilities across multiple marketing channels including lifecycle, email, and digital campaigns

What We're Looking For

Required Qualifications:

• Master's Degree in Mathematics, Statistics, Economics, Operations Research, or a related field
• Demonstrated experience applying statistical and machine learning methods to modeling or data science problems
• Proficiency using Python for data analysis, data preparation, and machine learning model development
• Experience with causal inference and experimental design, including statistically rigorous evaluation of model or experiment performance

Preferred Qualifications:

• PhD in Mathematics, Statistics, Economics, Operations Research, or a related field (or equivalent experience)
• Knowledge of causal machine learning methods and modeling approaches
• Ability to translate broadly scoped business problems into structured research questions and modeling approaches
• Experience across exploratory data analysis, machine learning research, experimentation, and production model development and scaling
• Ability to interpret complex experimental or modeling results and translate findings into actionable recommendations
• Experience applying machine learning to marketing, customer acquisition, lifecycle, or other growth use cases

How We Work With You

Our talent team at Get A Job.ai partners with leading organizations to connect exceptional candidates with opportunities that match their skills and career goals. Here's our process:

• Submit your application through the Get A Job.ai platform
• Our recruiting team will review your qualifications and conduct an initial screening
• Qualified candidates will be submitted directly to our client for consideration
• We'll guide you through each stage of the interview process
• Please do not contact the client directly; all communication should flow through Get A Job.ai

Pay

Compensation details will be discussed with qualified candidates during the screening process. Pay structure and ranges vary based on location and experience level.

Equal Employment Opportunity: Get A Job.ai is committed to inclusive hiring practices and equal opportunity employment. We welcome applications from candidates of all backgrounds and provide reasonable accommodations throughout our recruitment process.