Senior Data Science Startup Jobs in Texas (NOW HIRING)

Are you ready to be at the forefront of innovation in the world of pizza? We are seeking a Senior Data Scientist to help drive high-impact, data-led decision making across Pizza Hut's business. This role sits on the Customer Strategy & Advanced Analytics team and applies rigorous analytics, statistical methods, and modeling to solve complex business problems using data from across the organization.

As a senior individual contributor, you will independently resolve a diverse range of complex problems where precedent may not exist, exercise strong judgment in choosing methods, and create or significantly improve the solutions, frameworks, and tooling the team relies on. You will partner closely with cross-functional stakeholders to identify opportunities, frame business questions, build robust analytical approaches, and translate findings into clear, actionable recommendations. Join us at Pizza Hut, where we are on an incredible journey to become the most loved and fastest-growing brand in the US and around the world.

Minimum Requirements

Education: Bachelor's degree from an accredited institution in Statistics, Mathematics, Data Science, Computer Science, Economics, Engineering, or a related quantitative field, or equivalent relevant experience.

Required Experience & Skills

• 5+ years of experience in data science, advanced analytics, or a related quantitative field (3+ years with a master's degree; doctorate with relevant project experience).
• Demonstrated ability to independently understand and resolve a diverse range of complex problems where precedent may not exist, using sound judgment to select methods.
• Track record of creating or significantly improving analytical solutions, processes, and tools.
• Strong analytical and problem-solving skills, with the ability to decompose complex business problems into measurable components while remaining grounded in business objectives.
• Strong communication skills, with a track record of clearly explaining analytical methods, findings, and tradeoffs to diverse stakeholders, including senior leaders.
• Strong SQL skills, including the ability to query complex datasets, transform data, and build analytical data models as needed.
• Proficiency in Python with hands-on experience applying it to data analysis, statistical analysis, and modeling.
• Experience applying statistical techniques such as hypothesis testing, regression, forecasting, segmentation, or other quantitative methods in business settings.
• Experience building analytical approaches that are methodologically sound, reproducible, and scalable.
• Experience with data management, data wrangling, and exploratory analysis across large and complex datasets.
• Experience using BI or data visualization tools such as Tableau, Power BI, Domo, or similar platforms.
• Ability to collaborate effectively with stakeholders and work across cross-functional teams to influence decisions through data.

Preferred

• Experience developing predictive, explanatory, or optimization-oriented models in support of business decision making.
• Experience designing experiments or using causal inference, quasi-experimental methods, or other advanced measurement approaches to evaluate business initiatives.
• Experience with customer analytics, retention, personalization, lifecycle, or marketing measurement.
• Experience working with customer, marketing, digital, financial, operational, or transactional data in a complex business environment.
• Experience building and maintaining dashboard-based reporting through BI tools such as Tableau, Power BI, or Domo.
• Experience operationalizing analytical solutions in partnership with data engineering, product, or business teams.
• Experience acting as a resource or informal mentor to less experienced analysts.
• Advanced degree in Statistics, Mathematics, Economics, Data Science, Operations Research, or a related field.

Salary Range: $117,800 to $132,800 annually + bonus eligibility. This is the expected salary range for this position. Ultimately, in determining pay, we'll consider the successful candidate's location, experience, and other job-related factors.

• Partner with cross-functional teams to identify business opportunities and independently translate ambiguous questions into structured analytical problems.
• Build, validate, and maintain analytical and predictive models to better understand customer behavior, business performance, and strategic opportunities - creating or significantly improving existing approaches.
• Lead deep-dive analyses across multiple business domains with minimal guidance to uncover drivers of performance, diagnose issues, and quantify opportunities.
• Apply statistical methods and analytical rigor to evaluate business performance, test hypotheses, and support decision making where precedent may not exist.
• Design and assess experiments, measurement frameworks, and other analytical approaches to estimate impact and separate signal from noise.
• Develop scalable analytical frameworks, metrics, and data models that enable timely, repeatable, and decision-ready insights across the team.
• Serve as a resource to less experienced analysts - sharing methods, reviewing approaches, and helping raise the analytical standard of the team.
• Communicate findings, assumptions, limitations, and recommendations clearly to both technical and non-technical stakeholders, including senior leaders.
• Build presentations and executive-ready materials that explain analytical conclusions and influence business action.
• Partner with stakeholders to improve reporting, measurement, and analytical tooling in support of strategic decision making.