Senior Data Scientist_Data Scientist_7

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Senior Data Scientist – A/B Testing

Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.

Please visit Fractal | Intelligence for Imagination for more information about Fractal.
 

Role Overview:
We are looking for an experienced Senior Data Scientist within the technology sector. In this role, you will be responsible for developing hypotheses, designing, and executing experimental methods, and deriving actionable insights from experiment results. Your analytical skills will extend to analyzing data from pseudo-experiment settings, utilizing techniques like causal inference and look-alike modeling to estimate incrementality from changes.

As part of a team, you’re deeply committed to the two-sided challenge of driving all aspects of the extraction of insights from the inconsistent and intangible world of data and delivering insight to the business leaders. Being aware of how frustratingly valuable web data can be, you’re able to build the skills to collect and interpret that data.

Responsibilities:

• Experimentation Strategy & Execution

  • Design and execute A/B tests, multivariate tests (MVT), and other experimental methodologies.

  • Develop test hypotheses and structure experiments to provide actionable insights.

  • Ensure proper test setup, sample size calculations, and statistical rigor in experiment analysis.

• Statistical Analysis & Insights

  • Apply advanced statistical techniques, including Bayesian and Frequentist approaches, hypothesis testing, confidence intervals, and regression modeling.

  • Conduct power analysis and significance testing to ensure reliable experiment outcomes.

  • Interpret test results and translate findings into business recommendations.

• Web Analytics & Data Insights

  • Leverage Adobe Analytics to analyze user behavior, identify trends, and generate experiment ideas.

  • Provide insights into digital performance and customer journeys to optimize conversion rates.

  • Ensure data accuracy and integrity in analytics and reporting.

• Visualization & Reporting

  • Create dashboards and reports using Tableau (nice to have) or other visualization tools to track experiment results and communicate findings.

  • Present insights to stakeholders in a clear and impactful manner.

• Collaboration & Stakeholder Engagement

  • Work closely with product, marketing, and analytics teams to align experimentation with business goals.

  • Educate stakeholders on best practices in A/B testing and statistical significance.

  • Champion a data-driven culture and experimentation mindset within the organization.

Qualifications:

• 6+ years of hands-on experience in A/B testing and experimentation, with a proven track record of driving business impact through testing.

• Strong statistical background – expertise in hypothesis testing, statistical significance, power analysis, and experiment design.

• Proficiency in Adobe Analytics (required) and web analytics tools for data analysis and experiment tracking.

• Strong analytical and problem-solving skills with the ability to translate data into actionable insights.

• Experience with Tableau (nice to have) or other data visualization tools for reporting.

• Proficiency in SQL & Python/R for data extraction and analysis is a plus.

• Excellent c