Principal Data Scientist – Advanced Analytics

🕒 October 12

🤠 Texas – Remote

🤠 Texas – Remote

💵 $170k - $200k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

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Vericast

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

📣 Marketing

💸 Finance

💳 Fintech

Marketing • Finance • Fintech

Vericast is a company focused on accelerating the performance of financial institutions. Through the use of data, artificial intelligence, and innovative strategies, Vericast helps banks and credit unions drive growth and enhance their marketing performance. The company provides a variety of solutions including digital marketing, direct mail, card solutions, check solutions, customer and employee insights, and customer change management. Vericast leverages responsibly sourced data to engage consumers effectively, which is why many financial institutions trust them for solving marketing challenges. Their expertise in the financial sector is aimed at delivering insights and growth solutions, positioning them as a leader in financial marketing services.

📋 Description

• Lead end-to-end design, execution, and analysis of marketing and product experiments, including A/B, multivariate, geo, and holdout testing • Define and manage the experimentation roadmap, including hypothesis development, prioritization, power analysis, and success metrics • Develop methodologies for lift measurement, incrementality testing, and causal inference • Establish experimentation standards, governance, and best practices • Build a culture of experimentation and data-driven decision-making with stakeholders • Design, build, validate, and deploy machine learning and Generative AI solutions using large-scale structured and unstructured data • Develop predictive, prescriptive, attribution, market mix, and uplift models • Lead hands-on model development, coding, testing, and production deployment • Create and maintain robust data pipelines for data quality, integrity, and scalability • Evaluate emerging technologies and analytical approaches • Collaborate with Product, Marketing, Sales, IT, Risk, and Compliance teams to solve high-value business opportunities • Translate business challenges into testable hypotheses and analytical solutions • Present findings and recommendations to technical and executive audiences • Serve as a subject matter expert on experimentation, analytics, AI, and machine learning • Mentor and coach data scientists through technical guidance and best-practice sharing

🎯 Requirements

• Master's degree in Statistics, Data Science, Computer Science, Economics, Mathematics, Engineering, or a related quantitative field required • 8+ years of progressive experience in data science, analytics, or machine learning roles • Significant hands-on experience working with large-scale data environments • Experience leading or serving as a senior technical contributor on experimentation, measurement, and advanced analytics initiatives • Experience translating complex business challenges into scalable analytical solutions • Experience influencing senior stakeholders and partnering with cross-functional teams • Deep expertise in marketing experimentation, A/B testing, multivariate testing, experimental design, metric development, and lift/incrementality measurement • Strong background in causal inference, hypothesis testing, statistical modeling, and power analysis • Hands-on experience developing and deploying Market Mix Models, Attribution Models, and Uplift Models • Experience with Machine Learning, Large Language Models, Generative AI, and agent-based frameworks such as LangChain or LangSmith • Expertise in clustering, classification, regression, neural networks, anomaly detection, recommendation engines, and predictive modeling • Advanced programming skills in Python, Spark/PySpark, and SQL • Experience with Databricks, Snowflake, or similar data lake environments • Experience with AWS and Azure cloud environments • Familiarity with Kubernetes, Docker, and Git • Experience with data visualization and business intelligence tools; Tableau preferred • Ability to thrive in ambiguous environments and manage multiple priorities • Exceptional communication and storytelling skills • Experience mentoring and providing technical leadership to data scientists and analytics professionals • Strong analytical thinking, problem-solving capabilities, and attention to detail • Proven success collaborating across Product, Marketing, Sales, IT, Risk, Compliance, and other business functions

🏖️ Benefits

• Annual bonus incentive program • Workplace flexibility • Equal Opportunity employer • Disability accommodations during the selection process

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