CI&T
We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions.
With over 8,000 CI&Ters around the world, we’ve built partnerships with more than 1,000 clients during our 30 years of history. Artificial 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 public transportation / fare collection industry. Works alongside an AWS ProServe ML Specialist on EDA, feature engineering, capacity modeling, and operational dashboards.
Responsibilities:
-
Exploratory Data Analysis (EDA):
- Conduct EDA and statistical profiling to identify trends and insights from data.
- Perform feature engineering specifically for time-series forecasting.
-
Data Wrangling and Preparation:
- Extract and transform data from relational databases (RDS, Oracle, PostgreSQL) into analytics-ready formats.
- Develop pipelines for data ingestion and processing.
-
Machine Learning Modeling:
- Build classical ML models for time-series forecasting, regression, and capacity/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 Amazon 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 milestone-driven, Firm Fixed Price delivery models, ensuring timely project completion.
Requirements for this challenge:
- 4+ years in data engineering or applied 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, Oracle, PostgreSQL) into analytics-ready 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 Amazon QuickSight or equivalent BI tools.
- Hands-on experience with Amazon SageMaker (training, evaluation, Clarify).
- Proficient in the Python data stack, including pandas, NumPy, scikit-learn, matplotlib, and seaborn.
- Working knowledge of SQL and dimensional modeling.
- Familiarity with SHAP or model explainability techniques is a plus.
Expected Certifications
- AWS Certified Cloud Practitioner
- AWS Certified Data Engineer – Associate
- AWS Certified Machine Learning – Associate or AWS Certified Machine Learning – Specialty
Our benefits include:
– Premium Healthcare
– Meal voucher
– Maternity and Parental leaves
– Mobile services subsidy
– Sick pay-Life insurance
– CI&T University
– Colombian Holidays
– Paid Vacations
And many others.
Collaboration is our superpower, diversity unites us, and excellence is our standard.
We value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment. We encourage applications from diverse and underrepresented groups to our job positions.
Originally posted on Himalayas
To apply for this job please visit himalayas.app.
Working in Colombia
Colombia, officially the Republic of Colombia, is a country located in South America, with insular regions in North America. Colombia's mainland is bordered by the Caribbean Sea to the north, Venezuela to the east, Brazil to the southeast, Peru and Ecuador to the south and southwest, the Pacific Ocean to the west, and Panama to the northwest. Colombia is divided into 32 departments. The Capital District of Bogotá is the country's largest city hosting the main financial and cultural hub. Other urban areas include Medellín, Cali, Barranquilla, Cartagena, Bucaramanga, Pereira, Santa Marta, Cúcuta
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