Job Overview:

We are looking for a talented Staff Machine Learning Scientist (Growth) to join our team and support growth initiatives focused on increasing user conversion for a rapidly expanding line of business. You will work closely with our data science, product, and marketing teams to develop personalized models and algorithms, analyze data, and make data-driven decisions to boost user engagement and conversion rates. Your focus will be on enhancing personalization, refining marketing strategies, building propensity models, and developing next best action models for hyper-personalization to drive user growth.

Responsibilities:

• Develop and implement machine learning models for user conversion optimization, personalization, propensity modeling, and next best action recommendations using advanced machine learning such deep learning & reinforcement learning
• Work directly with marketing teams to refine strategies and targeting methods for user acquisition and retention
• Collaborate with cross-functional teams to identify growth opportunities and insights through personalized user experiences and targeted marketing initiatives
• Analyze user behavior, interests, and preferences to tailor marketing and content recommendations
• Build and maintain next best action models to determine the most effective content or marketing initiatives for individual users at any given time
• Design and conduct A/B tests to measure the effectiveness of new features, marketing initiatives, and hyper-personalization strategies

Basic Qualifications:

• Masters degree in Statistics, Optimization, Computer Science, or a related STEM fieldStrong background in optimization, statistics, deep learning, and causal modeling
• Previous experience in machine learning, data science, or a related field, specifically in a marketing or growth context
• Ability to translate complex algorithm outputs into actionable marketing insights and strategies
• Background in data analysis and visualization tools
• Proficiency in Python & SQL

Preferred Qualifications:

• PhD in Statistics, Optimization, Computer Science, or a related STEM field
• Experience with marketing analytics & audience building, Large Language Models, propensity modeling, reinforcement learning, bandit algorithms, and/or personalized marketing algorithms especially with constraints such as multi-objective optimization
• Extensive experience (8+ years) in machine learning, data science, or a related field, specifically in a marketing or growth context
• Familiarity with data engineering, SQL, and cloud-based infrastructure (AWS, GCP, or Azure)Exceptional analytical skills and ability to derive insights from data to inform decision-making, familiarity with customer journey mapping, customer segmentation, and user behavior analysis
• Strong communication and collaboration skills, with experience in translating complex analysis results to a non-technical audience

If this opportunity interests you, you might like these courses on Coursera:

• Artificial Intelligence in Marketing
• Machine Learning Specialization: DeepLearning.AI

Compensation:

Our job titles may span more than one career level. The starting base pay for this role is between $157,000 - $232,000. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs, and location. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, and benefits.

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