Data Science Lead

2 semanas atrás


São Paulo, São Paulo, Brasil beBeeDataScience Tempo inteiro US$140.000 - US$190.000
Lead Data Science Initiatives

Contribute to the sales operations team by leading analytics and data science initiatives that transform complex business data into actionable commercial insights. Drive advanced statistical analysis while developing predictive models and machine learning solutions to optimize sales performance and enable data-driven decision making across markets.

  • Job Description:
  • Architect and develop statistical models, machine learning algorithms, and predictive analytics solutions for sales forecasting, pipeline optimization, and customer behavior analysis.
  • Build automated data pipelines and reporting systems using Python, R, SQL, and business intelligence platforms (Tableau, PowerBI, Databricks).
  • Lead data science projects including customer segmentation, pricing analytics, and churn prediction to support commercial strategy decisions.
  • Manage and ensure quality of enterprise sales data across CRM systems and analytics platforms, implementing data governance best practices.
  • Analyze and predict sales performance metrics and market trends, delivering actionable insights and recommendations to sales leadership and management teams.
  • Required Skills and Qualifications:
  • Master's degree in Data Science, Statistics, Mathematics, Business Analytics, or related quantitative field.
  • Over 10 years of experience in data science, business analytics, or commercial analysis roles with increasing responsibilities.
  • Proven experience leading analytical projects with cross-functional stakeholders.
  • Strong proficiency in statistical programming (Python, R, SQL) and machine learning techniques for business applications.
  • Hands-on experience with business intelligence platforms (Tableau, PowerBI, Qlik, Databricks) and data visualization best practices.
  • Solid understanding of commercial operations, sales processes, and revenue optimization principles.
  • Excellent communication skills with ability to present technical findings to business stakeholders and management.
  • Experience with data pipeline development, ETL processes, and database management systems.
  • Benefits:
  • Opportunity to work on challenging projects with a talented team.
  • Chance to develop and apply data science skills in a real-world setting.
  • Collaborative and dynamic work environment.


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