Principal Data Scientist – Advanced Analytics

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

📋 Description

• Oversee the comprehensive design, implementation, and evaluation of marketing and product experiments, which include A/B, multivariate, geo, and holdout testing.

• Establish and manage the experimentation roadmap, covering hypothesis formulation, prioritization, power analysis, and metrics for success.

• Create methodologies for measuring lift, conducting incrementality testing, and deriving causal inferences.

• Set up standards, governance, and best practices for experimentation.

• Foster a culture of experimentation and data-informed decision-making among stakeholders.

• Design, construct, validate, and launch machine learning and Generative AI solutions utilizing both large-scale structured and unstructured data.

• Develop predictive, prescriptive, attribution, market mix, and uplift models.

• Direct hands-on model development, coding, testing, and deployment into production.

• Establish and sustain robust data pipelines to ensure data quality, integrity, and scalability.

• Assess emerging technologies and analytical methods.

• Work collaboratively with Product, Marketing, Sales, IT, Risk, and Compliance teams to address high-value business challenges.

• Convert business challenges into testable hypotheses and analytical strategies.

• Deliver findings and recommendations to both technical and executive audiences.

• Act as a subject matter expert in experimentation, analytics, AI, and machine learning.

• Provide mentorship and coaching to data scientists through technical support and sharing of best practices.

⛳️ Requirements

• A Master's degree in Statistics, Data Science, Computer Science, Economics, Mathematics, Engineering, or a related quantitative discipline is required.

• Over 8 years of progressive experience in roles related to data science, analytics, or machine learning.

• Extensive hands-on experience in managing large-scale data environments.

• Proven track record in leading or contributing as a senior technical expert on experimentation, measurement, and advanced analytics projects.

• Ability to translate intricate business challenges into scalable analytical approaches.

• Experience in influencing senior stakeholders and collaborating with cross-functional teams.

• Profound knowledge in marketing experimentation, A/B testing, multivariate testing, experimental design, metric creation, and lift/incrementality measurement.

• Strong background in causal inference, hypothesis testing, statistical modeling, and power analysis.

• Practical experience in developing and deploying Market Mix Models, Attribution Models, and Uplift Models.

• Familiarity with Machine Learning, Large Language Models, Generative AI, and agent-based frameworks like LangChain or LangSmith.

• Expertise in clustering, classification, regression, neural networks, anomaly detection, recommendation systems, and predictive analytics.

• Advanced programming abilities in Python, Spark/PySpark, and SQL.

• Experience with Databricks, Snowflake, or comparable data lake platforms.

• Knowledge of AWS and Azure cloud environments.

• Understanding of Kubernetes, Docker, and Git.

• Experience with data visualization and business intelligence tools, with a preference for Tableau.

• Capable of thriving in ambiguous situations and managing multiple priorities effectively.

• Exceptional communication and storytelling abilities.

• Experience in mentoring and providing technical leadership to data scientists and analytics professionals.

• Strong analytical mindset, problem-solving skills, and attention to detail.

• Demonstrated success in collaborating across Product, Marketing, Sales, IT, Risk, Compliance, and other business functions.

🏝️ Benefits

• Annual bonus incentive program.

• Workplace flexibility.

• Equal Opportunity employer.

• Disability accommodations available throughout the selection process.