Principal Engr-Data Science

• Chennai, India
• Hyderabad, India
• Bangalore, India

Job ID: R

Apply prior to the end date: September 20th, 2025

When you join Verizon

You want more out of a career. A place to share your ideas freely — even if they're daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife.

What you will be doing...

Commercial Data & Analytics is part of the Verizon Global Services (VGS) organization. The team supports initiatives to uncover actionable insights that drive business value. As the resident expert you will identify business problems, draft hypotheses, define success criteria, size experiments, and analyze overall test results. You will also partner across different teams to ensure alignment on test parameters and data sourcing.

As a member of this team, your responsibilities will include:

• Lead the experimentation lifecycle from end-to-end, including hypothesis formulation, experimental design (e.g., A/B, multivariate), implementation oversight, statistical analysis, and insightful recommendation.
• Serve as a thought leader and mentor on experimentation, A/B testing, and causal inference, establishing best practices and elevating the team's analytical capabilities
• Crafting high-quality experimentation deliverables including measurement plans, reporting requirements, and test results.
• Partner closely with product, marketing, and engineering teams to translate ambiguous business questions into precise, testable hypotheses.
• Champion statistical best practices throughout the organization, ensuring all tests are properly powered, results are interpreted correctly, and conclusions are statistically sound.
• Translate complex experimental results into clear, actionable business recommendations and communicate them effectively to stakeholders at all levels, including senior leadership.

What we're looking for…

You are a deeply curious and statistically-minded scientist who is passionate about finding truth in data. You are not just a modeler; you are a scientific method champion who understands that well-designed experiments are the most reliable way to drive impactful change.

You will need to have:

• A Bachelor's degree with four or more years of experience.
• Six or more years of progressive experience as a Data Analyst, with a proven track record of leading initiatives in A/B testing, experimentation, and conversion rate optimization.
• Deep expertise in statistical hypothesis testing (e.g., t-tests, ANOVA, Chi-squared), experimental design (A/B, MVT), and power/sample size calculations.
• Expert-level proficiency in Python or R, with extensive experience using statistical and data manipulation libraries (e.g., statsmodels, scipy, pandas in Python; dplyr, rstatix in R).
• Mastery of SQL for complex data extraction and cohort analysis from large-scale data warehouses.
• Exceptional ability to explain statistical concepts like p-values, confidence intervals, and statistical significance to non-technical stakeholders to drive data-informed decisions.
• Excellent collaboration skills, with a history of working effectively with cross-functional teams to design and execute tests.

Even better if you have one or more of the following:

• Expertise in advanced causal inference methods (e.g., Difference-in-Differences, Regression Discontinuity, Propensity Score Matching).
• Practical experience with commercial or open-source experimentation platforms (e.g., Optimizely, Statsig, VWO, or building in-house tools).
• Knowledge of multi-armed bandit algorithms and their application in real-time optimization.
• Experience in a product-led growth (PLG) or e-commerce environment where A/B testing is a core driver of strategy.
• Experience with Bayesian statistics and its application to experimental analysis.
• Proficiency with cloud computing platforms (e.g., AWS, GCP, Azure) and version control using Git.
• Experience building insightful dashboards and reports in tools like Tableau, Looker, or Qlik to monitor experiment results.

Where you'll be working

In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager.

Scheduled Weekly Hours

40

Equal Employment Opportunity

Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.

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