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Senior Data Analyst
Instituto de Pesquisas Eldorado. Develop, train, and deploy Machine Learning models to solve real-world business problems .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and deploying Machine Learning models, data manipulation, and advanced analytics. Proficient in Python and familiar with optimization techniques and algorithms to solve complex business problems.
Highest-signal resume keywords
Machine Learning Model DevelopmentData Analysis and Analytical TechniquesPython ProgrammingOptimization TechniquesAdvanced English Proficiency
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ManipulationPredictive AnalyticsStatistical AnalysisExploratory Data AnalysisData Pipeline DevelopmentMathematical ProgrammingHeuristicsMetaheuristicsMachine Learning AlgorithmsDeep Learning Libraries
Soft Skills
CollaborationProblem SolvingCommunication
Tools & Technologies
PandasNumPyMatplotlibScikit-learnPyTorchTensorFlow
Industry Keywords
Data ScienceExact SciencesBusiness Intelligence
Tech Stack
Tools & technologiesNumpyPandasPythonPyTorchScikit-LearnTensorflow
About the role
Key responsibilities & impact- Develop, train, and deploy Machine Learning models to solve real-world business problems
- Manipulate, clean, and transform large volumes of data, ensuring its quality and integrity
- Conduct exploratory analyses and extract insights from structured and unstructured data
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
- Develop optimized data pipelines and workflows for automation and scalability
- Create and implement advanced algorithms for predictive analytics, considering variables in accordance with business rules
- Clearly present results and insights to internal and external stakeholders
- Stay up to date with trends and advances in data science and Machine Learning
- Build optimization models using mathematical programming, heuristics, and metaheuristics
Requirements
What you’ll need- Bachelor's degree in Engineering, Mathematics, Statistics, Computer Science, or a related field
- Knowledge of Statistics
- Proven experience in data analysis and analytical techniques
- Proven experience with Python, including pandas, NumPy, and Matplotlib
- Advanced English proficiency for communication with an international team
- Preferred: Master's degree in a research field within the Exact Sciences
- Preferred: Knowledge of optimization techniques, mathematical programming, heuristics, and metaheuristics
- Preferred: Knowledge of Machine Learning and Deep Learning algorithms and libraries such as scikit-learn, PyTorch, and TensorFlow
- Ability to structure and solve complex problems by proposing computational architectures for their solution
Benefits
Comp & perks- People with disabilities are always welcome
- Diverse environment with equal opportunities
- Meaningful projects that positively impact people's lives
- Opportunities to gain new experience and apply knowledge to relevant projects