About the Role

The Data Scientist will inform business stakeholder decision making through predictive and prescriptive modeling. You will design innovative analytic approaches to test hypotheses, extract actionable insights by identifying patterns in structured and unstructured data, and develop recommendations to drive business performance. You will be instrumental in leading the use of analytics as a critical value driver and source of competitive advantage across our organization. The right person for this role has exceptional analytical abilities, expertise in statistical modeling techniques, and a demonstrated ability to apply analytics to solve business problems and identify opportunities.

What you’ll do

• Partner with other departments to solve problems, identify trends and opportunities with data services.
• Help to assess and implement new technologies that power data science including training statistical and ML models at scale.
• Participate in building and maintaining data services that provide novel features for our business
• Develop insights and analyses that inform decisions.
• Participate in actively maintaining the integrity and performance of analytical systems.
• Build reports, dashboards, metrics and models to monitor and improve the performance of our company.
• Leverage data to evaluate new strategic initiatives - isolate the correct factors, metrics to monitor and targets.
• Distill complex data algorithms into easily understood business insights and decisions to help drive performance.
• Partner with engineers to:
  • Ensure data is appropriately identified, recorded, transformed, and furnished for consumption – including statistical analysis and predictive modeling.
  • Build real time and offline features while also maintaining the datasets from which models are created.
• Apply advanced analytics techniques (core statistical-modeling, data visualization, data mining, machine learning, artificial intelligence) to extract actionable insights through analysis of large-scale, high-dimensional data.
• Drive the collection of new data and the manipulation and refinement of existing data sources.
• Document steps and data sources and ensure that the models are easily understandable and maintainable.
• Measure and improve the quality of analytics solutions on an ongoing basis.

What Sets You Apart

• Strong conceptual and creative problem-solving skills; ability to work with considerable ambiguity; ability and curiosity to learn new and complex concepts quickly.
• Ability to execute research projects, and generate practical results and recommendations.
• Ability to think creatively about how to use data to answer an ambiguous business / product questions.
• Positive attitude and open mindset, not afraid to roll up your sleeves.
• Self-starter, not afraid of breaking new ground but also willing to act as a team player along the journey.
• Adopts EWC values in personal work behaviors, decision making, contributions and interpersonal interactions.
• Helps shape a positive work environment by demonstrating and influencing others to reward performance and value "can do" people, accountability, diversity and inclusion, flexibility, continuous improvement, collaboration, creativity, and fun.
• Ability to execute research projects, and generate practical results and recommendations.
• Excellent communication skills.
• Ability to partner to envision and execute on projects together.

Education and Experience

• Bachelor’s degree in Degree in Mathematics, Statistics, Operations Research, Computer Science or equivalent. Master’s degree in quantitative field or MBA strongly preferred.
• Minimum of 4 years of industry experience working with and analyzing large data sets to build models.
• Strong background in statistics.
• Proficiency in at least one high level programing languages like Java, Scala, Python, Ruby, C etc.
• Proficiency in SQL. Experience querying large, complex data sets.
• Experience in data visualization tools like Tableau, QlikView, MicroStrategy etc. desired.
• Experience in big data ecosystems (Hadoop, No-SQL etc.) desired.
• Experience with Python modeling (tensorflow, pycaret, scikitlearn, pytorch, matlib, etc)
• Familiarity with reporting tools like Tableau, Domo, Looker, etc. is a plus.
• Familiarity with Hadoop Spark/DataBricks is a plus.
• Familiarity with a high-level programming language is a plus.
• Experience with scalable relational databases (eg Snowflake/Vertica/Redshift/etc.)

*This role is not eligible for visa sponsorship*

European Wax Center is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, protected veteran status, or any other characteristic protected by law.

This job description is a general description of essential job functions. It is not intended to describe all duties someone in this position may perform. All employees of EWC and operating subsidiaries are expected to perform tasks as assigned by supervisory/management personnel, regardless of job title or routine job duties.