Amherst Costa Rica International is looking for a Data Analyst to leverage large data sets and AI/ML techniques to build predictive models and deliver actionable business insights. You will apply your analytical and technical skills to solve complex problems.
What You'll Do
- Collect, clean, and preprocess large volumes of structured and unstructured data
- Develop and maintain data pipelines for accurate and efficient processing
- Perform exploratory data analysis to understand patterns, trends, and relationships
- Visualize data using tools like Tableau or Power BI to drive decision-making
- Apply AI and machine learning algorithms to build predictive and prescriptive models
- Train, tune, and evaluate machine learning models to optimize performance
- Automate model deployment and update processes
- Use statistical and ML techniques to forecast trends, identify anomalies, and detect patterns
- Apply NLP and computer vision techniques for text and image analysis as needed
- Communicate findings clearly through visualizations and reports to stakeholders
- Work with cross-functional teams to understand business needs
- Provide data-driven insights and recommendations to business stakeholders
- Stay updated on the latest trends in AI/ML and data analytics
- Continuously evaluate and implement new techniques to improve analysis
- Explore automation of repetitive tasks and improvement of business operations
What We're Looking For
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related quantitative field
- 2-5 years of experience in data analysis, data science, or machine learning roles
- Hands-on experience managing and analyzing large datasets
- Proficiency in Python, R, or similar languages for data analysis and ML
- Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
- Familiarity with AI techniques, including deep learning, reinforcement learning, and NLP
- Strong knowledge of SQL for querying large data sets
- Expertise in data visualization tools like Tableau or Power BI
- Strong problem-solving and critical-thinking abilities
- Excellent communication and presentation skills
- Ability to work independently and as part of a team
- Attention to detail and the ability to work with complex data sets
Nice to Have
- Experience deploying machine learning models to production environments
- Knowledge of advanced analytics like time series forecasting, anomaly detection, or reinforcement learning
- Experience in the real estate industry
- Experience with big data platforms and tools like Hadoop or Spark
- Familiarity with cloud platforms (AWS, GCP, Azure) for data storage and processing
Technical Stack
- Languages: Python, R, SQL
- ML Frameworks: TensorFlow, PyTorch, scikit-learn
- Visualization: Tableau, Power BI
- Big Data: Hadoop, Spark
- Cloud: AWS, GCP, Azure
Benefits & Compensation
- A competitive and comprehensive benefits package
