Analyze large volumes of structured and unstructured data to generate insights and support decision-making;
Develop statistical models and Machine Learning solutions to solve complex problems;
Create data visualizations that communicate information clearly and effectively to diverse audiences;
Develop and maintain analyses and experiments using data science tools and libraries;
Collaborate with global teams, contributing to analytical initiatives and data-driven projects;
Apply software engineering best practices to ensure quality, reproducibility, and scalability of developed solutions;
Other related responsibilities.

Portfolio showcasing representative data visualization work;
Experience with Python;
Knowledge of Pandas;
Knowledge of Scikit-learn;
Knowledge of Jupyter;
Experience in Machine Learning;
Experience in statistical modeling;
Experience analyzing large-volume datasets;
Experience with unstructured data;
Knowledge of SQL;
Experience with relational databases;
Knowledge of PostgreSQL;
Knowledge of Software Engineering practices;
Knowledge of Git;
Knowledge of Docker;
Knowledge of AWS;
Ph.D. in quantitative STEM fields (Technology, Engineering, Mathematics, or related areas);
Completed bachelor's degree required.

Medical insurance for employees and dependents with nationwide coverage (Bradesco or Unimed);
Dental insurance with nationwide coverage;
Meal allowance or food allowance (employee's choice);
Childcare assistance;
Life insurance for employees and dependents;
Gympass for employees and dependents;
EAP (Employee Assistance Program) offering Financial Assistance, Legal Assistance, Social Assistance, and 24/7 Psychological Support;
Discounts and preferential rates with universities (Mackenzie, SENAC, FIA, FIAP, and BBS Business School) and language schools (CNA, Cultura Inglesa, Wizard, CCAA, Indeed);
Discounts on fee packages and preferential rates at Itaú and Bradesco banks;
Payroll-deductible loan option, with repayments deducted directly from salary;
Reimbursement program for certain external certifications;
Training: TCS provides an e-learning and in-person training and development platform covering soft skills, technologies, and domains across more than 15,000 topics;
Service recognition awards: TCS rewards employees for commitment and loyalty at milestones (3, 5, and 10 years, and every 5 years thereafter);
Employee referral bonus for each successful hire;
TCS Fit4life: program encouraging physical exercise with scheduled online functional training sessions;
International opportunities: depending on your skills and business needs, you may be eligible to apply for positions abroad (within and outside Latin America);
And others.

Data Scientist – Senior

Key skills