Stellenbeschreibung:

This position is posted by Jobgether on behalf of Thumbtack. We are currently looking for a Senior Applied Scientist, Customer Growth in United States.

As a Senior Applied Scientist focused on Customer Growth, you will leverage cutting-edge AI and machine learning to drive measurable impact across user acquisition, engagement, and retention. You will design and implement scalable ML systems, run experiments, and provide actionable insights that enhance growth strategies. Working in a collaborative, fast-paced environment, you will partner with engineers, marketers, and data scientists to solve complex problems, optimize user experiences, and shape the roadmap for AI-driven growth initiatives. Your contributions will directly influence product performance and business outcomes while mentoring a team of applied scientists.

Accountabilities:

This role focuses on driving applied science initiatives with clear business impact and technical excellence. Key responsibilities include:

• Initiate, lead, and complete applied science projects aimed at improving customer growth and retention.
• Architect, implement, and deploy production-grade machine learning models and systems.
• Design and execute experiments, analyze structured and unstructured data, and extract actionable insights.
• Collaborate cross-functionally with engineering, marketing, and economics teams to apply sound statistical and ML practices.
• Balance speed of execution with scientific rigor when designing and deploying solutions.
• Provide technical mentorship to other applied scientists, fostering knowledge sharing and best practices.
• Translate complex problems into actionable solutions and clearly communicate findings to stakeholders at all levels.

Requirements

The ideal candidate brings strong technical expertise, analytical skills, and leadership experience, including:

• 5+ years of experience developing production-grade machine learning models.
• Proficiency in Python, including reading, writing, and debugging code effectively.
• Deep knowledge of probability, statistics, experimental design, optimization, and causal inference.
• Proven ability to lead impactful projects from ideation to execution.
• Experience mentoring and guiding other applied scientists.
• Strong analytical and problem-solving skills with the ability to balance trade-offs in complex scenarios.
• Excellent communication skills, capable of collaborating with both technical and non-technical partners.
• Experience analyzing both observational and experimental data to drive business decisions.

Benefits

This role offers competitive compensation and a supportive work environment:

• Salary ranges based on location:
• San Francisco / Bay Area, San Jose, NYC, Seattle: $200,900 – $259,900
• Austin, TX, Washington DC, CA, MA, NJ, WA: $180,800 – $234,000
• Other US locations: $170,800 – $221,000
• Fully remote work option (#LI-Remote).
• Flexible work arrangements and a collaborative team environment.
• Opportunities for career development and technical mentorship.
• Inclusive workplace committed to diversity, equity, and accessibility.
• Reasonable accommodations provided for individuals with disabilities.

Jobgether is a Talent Matching Platform that partners with companies worldwide to connect top talent with the right opportunities through AI-driven matching.

When you apply, your profile goes through an AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the role’s core requirements and success factors to determine a match score.
🎯 The 3 candidates with the highest match are automatically shortlisted.
🧠 When necessary, our human team may perform an additional review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once shortlisting is completed, we share it with the hiring company, who will decide on next steps such as interviews or assessments.

Thank you for your interest!

 

#LI-CL1