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FBS - Senior Decision Scientist (data)

1 week ago
Mexico, Brazil
Full-time
Senior
Data Scientist
Data Science and Analytics
Machine Learning Power BI Python Snowflake SQL Tableau
Apply Now
Capgemini

Capgemini

Capgemini is a global leader in consulting, technology services, and digital transformation, empowering businesses with innovative solutions and expertise to thrive in a rapidly evolving market.

Internet Software & Services
100K+
Founded 1967
$93M raised
View All Jobs 31

Description

  • Analyze large and complex datasets to identify trends, patterns, risks, and business opportunities.
  • Apply statistical, mathematical, and quantitative techniques to solve medium-scale business problems.
  • Build descriptive and explanatory models or use existing predictive models to support business strategies.
  • Conduct exploratory data analysis, hypothesis testing, and data validation exercises.
  • Develop actionable insights and recommendations that improve operational efficiency, growth, and profitability.
  • Collaborate with IT, Data Engineering, Data Science, and business stakeholders on analytical initiatives.
  • Collect, integrate, and transform data from multiple sources into analysis-ready datasets.
  • Assess data quality and apply data hygiene techniques to ensure accuracy, reliability, and consistency.
  • Support monitoring and deployment of predictive models into business workflows.
  • Create dashboards, reports, and visualizations using tools such as Power BI and Tableau.
  • Communicate analytical findings and recommendations clearly to business partners and leadership.
  • Troubleshoot data quality issues in partnership with technical teams.
  • Stay current on emerging analytics, decision science, and machine learning methods and best practices.
  • Participate in continuous learning and professional development to strengthen technical and business expertise.

Requirements

  • Experience in data analytics, decision science, business intelligence, or a related field.
  • Bachelor’s degree preferred in Data Science, Statistics, Mathematics, Business Analytics, or a related discipline.
  • Experience working with large datasets and performing data wrangling and transformation.
  • Basic to intermediate experience with statistical analysis and machine learning concepts.
  • Proficiency with SQL and Python for data analysis and reporting.
  • Experience using data visualization tools such as Power BI or Tableau.
  • Familiarity with Snowflake and cloud-based data environments is a plus.
  • Strong ability to communicate technical findings to both technical and non-technical stakeholders.
  • Ability to work with moderate independence while receiving guidance and mentorship from senior team members.

Benefits

  • Competitive salary and performance-based bonuses.
  • Comprehensive benefits package.
  • Career development and training opportunities.
  • Flexible work arrangements, including remote and/or office-based options.
  • Private health insurance.
  • Pension plan.
  • Paid time off.
  • Training and development support.

Interested in this position?

Apply directly on the company website

Apply Now

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