Data Scientist - SQL, Python & Predictive Analytics

European Wax Center, Inc.

Plano (TX)

Hybrid

USD 110,000 - 150,000

Full time

14 days+
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Benefits offered by this job

Hybrid work: in-office Mon-Thu, remote
Professional development stipend
Health & Wellness benefits
Employee discounts

Job summary

European Wax Center, Inc. in Plano, TX is seeking a Data Scientist to join our analytics team.

You will write SQL and Python against Snowflake, build forecasting models, and create self-serve BI dashboards with Power BI and Looker across Finance, Operations, Marketing, and Development. You will transform business questions into data solutions, conduct exploratory analyses, and present findings to both technical and non-technical audiences.

Qualifications

  • Bachelor's degree in data science, statistics, CS, or related field.
  • 3+ years of data science, analytics, or business analytics experience.
  • Hands-on SQL and Python with statistical or ML modeling.
  • Experience with cloud data warehouses and BI tools.

Responsibilities

  • Write SQL and Python to build datasets and pipelines in Snowflake.
  • Create descriptive analytics via dashboards and KPI frameworks.
  • Develop predictive models and forecasting techniques.
  • Perform prescriptive analysis and scenario modeling.
  • Collaborate with Finance, Ops, Marketing, and Development to translate problems into data solutions.
  • Design and maintain BI dashboards for self-serve reporting.

Skills

SQL
Python
Data analysis
Communication

Education

Bachelor's degree in a quantitative field

Tools

Snowflake
dbt
Power BI
Looker/Tableau

Job description

European Wax Center, Inc. in Plano, TX is seeking a Data Scientist to join our analytics team.

You will write SQL and Python against Snowflake, build forecasting models, and create self-serve BI dashboards with Power BI and Looker across Finance, Operations, Marketing, and Development. You will transform business questions into data solutions, conduct exploratory analyses, and present findings to both technical and non-technical audiences.

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