Data Scientist/Engineer

AlphaAnalytics Limited

AlphaAnalytics Limited is on the lookout for a passionate Data Scientist/Engineer to join its dynamic team. This crucial role involves analyzing vast datasets, developing innovative data models, and implementing machine learning algorithms. The successful individual will work with cross-functional teams to derive actionable insights, ensuring high-quality data accuracy and contributing to significant data science initiatives.

In this role you can expect to have the responsibilities:

• Process and analyze large datasets to derive meaningful insights.
• Develop data models and algorithms for business opportunities.
• Collaborate with teams to meet data requirements and solutions delivery.
• Conduct exploratory data analysis to spot trends and patterns.
• Create data visualizations to convey findings to stakeholders.
• Develop and test machine learning models for predictive analytics.
• Ensure data accuracy and integrity through validation checks.
• Support data science project deployment and maintenance.
• Document methodologies and results for reproducibility.
• Explore new data science tools and best practices.
• Prepare technical reports and presentations.
• Manage data infrastructure and security.
• Oversee data management processes.
• Comply with data governance regulations.
• Coordinate with data engineers for data optimization.

This role comes with the following benefits:

• Opportunity to travel to other office locations and industry conferences

This role requires you to have:

• Bachelor's degree in relevant field
• Proficiency in Python
• Familiarity with TensorFlow and PyTorch
• Experience with version control systems like GitHub
• Knowledge of RESTful APIs
• Understanding of cloud services AWS and Azure
• Proficiency in data visualization tools
• Strong analytical and problem-solving skills
• Excellent communication and collaboration skills

You would benefit from having:

• Master's degree
• Familiarity with containerization tools such as Docker and Kubernetes
• Experience with data cleaning and preprocessing
• Basic knowledge of machine learning algorithms
• Eagerness to learn new technologies

The role may require occasional travel and involves working with large datasets and performing data cleaning tasks.