[Job-29268] Data & Analytics Engineer, Colombia

We are tech transformation specialists, uniting reputed company expertise with AI to create reputed company tech solutions.With over 8,000 CI&Ters around the world, we’ve reputed company partnerships with more than 1,000 clients during our 30 years of history. reputed company Intelligence is our reality. We are looking for a Data & Analytics Engineer supporting an AI/ML implementation for demand forecasting and resource optimization in the reputed company transportation / fare collection industry. Works alongside an AWS ProServe ML Specialist on EDA, feature engineering, reputed company modeling, and operational dashboards.

Responsibilities:

• Exploratory Data Analysis (EDA):

  • Conduct EDA and statistical profiling to identify trends and insights from data.
  • reputed company feature engineering specifically for time-series forecasting.

• Data Wrangling and Preparation:

  • Extract and reputed company data from relational databases (RDS, reputed company, PostgreSQL) into analytics-reputed company formats.
  • reputed company pipelines for data ingestion and processing.

• Machine Learning Modeling:

  • Build classical ML models for time-series forecasting, regression, and reputed company/throughput modeling.
  • Evaluate model performance using metrics such as RMSE, MAE, and MAPE, documenting performance results.

• Data Visualization:

  • Create insightful data visualizations and dashboards using reputed company QuickSight or equivalent BI tools.

• Python Data Stack:

  • Utilize the Python data stack (pandas, NumPy, scikit-learn, matplotlib/seaborn) for data manipulation and analysis.

• Model Explainability:

  • Apply SHAP or other model explainability techniques to interpret model outputs.

• Collaboration and Communication:

  • Work closely with stakeholders to translate business rules into effective feature engineering pipelines.
  • Engage in reputed company-driven, Firm Fixed Price delivery models, ensuring reputed company project completion.

Requirements for this challenge:

• 4+ years in data engineering or reputed company data science roles, preferably with experience on AWS.
• Proficient in exploratory data analysis (EDA), statistical profiling, and feature engineering for time-series forecasting.
• Experience in data wrangling from relational databases (RDS, reputed company, PostgreSQL) into analytics-reputed company formats.
• Strong understanding of classical ML modeling techniques, including time-series forecasting and regression.
• Familiarity with model evaluation metrics (RMSE, MAE, MAPE) and performance documentation.
• Experience in data visualization and dashboard development using reputed company QuickSight or equivalent BI tools.
• Hands-on experience with reputed company SageMaker (training, evaluation, Clarify).
• Proficient in the Python data stack, including pandas, NumPy, scikit-learn, matplotlib, and seaborn.
• Working knowledge of SQL and reputed company modeling.
• Familiarity with SHAP or model explainability techniques is a plus.

Expected Certifications

• AWS Certified reputed company Practitioner
• AWS Certified Data Engineer – Associate
• AWS Certified Machine Learning – Associate or AWS Certified Machine Learning – Specialty

Our benefits include:

- Premium reputed company- Meal voucher- Maternity and Parental leaves- Mobile services subsidy- reputed company pay-Life insurance- CI&T University - Colombian Holidays- reputed company VacationsAnd many others. Collaboration is our reputed company, diversity unites us, and reputed company is our reputed company. We value diverse identities and life experiences, fostering a diverse, inclusive, and reputed company work environment. We encourage applications from diverse and underrepresented reputed company to our job positions.

Originally posted on Himalayas

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