Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Collaborate with clients and internal teams to comprehend marketing measurement inquiries and convert them into data science challenges.

• Utilize real-world customer data to ensure its reliability and suitability for modeling and measurement purposes.

• Evaluate model and experiment outcomes, explore unexpected results, and pinpoint potential data, modeling, or measurement complications.

• Simplify complex statistical and modeling findings into understandable insights and actionable suggestions.

• Work alongside Senior Data Scientists on intricate methodological and modeling issues.

• Partner with cross-functional colleagues in Media Strategy, Customer Success, Product, and Engineering to assist clients.

• Recognize recurring challenges and opportunities to enhance models, diagnostics, tools, and processes.

• Develop reusable analysis and diagnostic tools that enhance the reliability and scalability of measurements.

• Contribute to the advancement of new methodologies, models, and production measurement capabilities as the role progresses.

• Clarify statistical methodologies, troubleshoot measurement problems, and convey experimentation outcomes to clients.

⛳️ Requirements

• A Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or a similarly quantitative field.

• Over 2 years of experience in building and deploying data science, machine learning, or AI systems in a production environment.

• A solid foundation in statistics, machine learning, experimentation, and causal inference.

• Exceptional verbal and written communication skills.

• Proficient coding and debugging abilities.

• Capability to write production-quality code and troubleshoot issues across the entire stack.

• A service-oriented mindset with a hands-on approach to customer problem-solving.

• Ability to thrive in a fast-paced startup environment while driving projects from conception to production with considerable autonomy.

• A growth mindset, intellectual curiosity, and eagerness to learn new domains, customer verticals, and measurement methodologies.

• A strong preference for a solid statistical background and previous experience in digital marketing or eCommerce analytics.

• An MS degree is preferred.

🏝️ Benefits

• Equity package.

• Comprehensive healthcare benefits including medical, dental, and vision coverage.

• 401(k) plan.

• Flexible PTO policy.

• 12 company-paid holidays.

• 12 weeks of paid parental leave.

• $500 work-from-home stipend.