Additional Qualifications:
- Serve as lead data strategist to identify and integrate new datasets that can be leveraged through our product capabilities, and work closely with the engineering team in the development of data products.
- Execute analytical experiments to help solve problems across various domains and industries.
- Architecture design to support large applications as well as platform.
- Identify relevant data sources and sets to mine for client business needs and collect large structured and unstructured datasets and variables.
- Devise and utilize algorithms, model building and models to mine large-data volume of data; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy.
- Analyze data for trends and patterns and interpret data with clear objectives in mind.
- Implement analytical models in production by collaborating with software developers and machine-learning engineers.
- Defining and executing data collection strategies to gather relevant information
- Ensuring data privacy and compliance with relevant regulations
- Developing and maintaining data pipelines and infrastructure
- Keeping up-to-date with the latest developments in data science and machine learning & AI
Qualifications, Experience & Skills
- A bachelor's or master's degree in data science, computer science, statistics, applied mathematics, or related discipline.
- Two or more years of project management experience
- Professional certification
- Minimum twelve or more years of experience in data science, Machine Leaning, AI, generative AI, Leading the team and programming.
- Proficiency with data mining, mathematics, and statistical analysis
- Advanced experience in pattern recognition and predictive modeling
- Ability to build start of arts model using deep leaning and
- Proficiency in programming languages such as Python, R, or Java
- Experience with data manipulation and analysis tools, such as SQL, Excel, and pandas
- Understanding of machine learning frameworks, such as TensorFlow, PyTorch, or scikit-learn
- Experience in Data visualization, PowerPoint, Power BI, Tableau and building data pipeline.
- Ability to work effectively in a dynamic, research-oriented group that has several concurrent projects.
- Excellent communication and presentation abilities, or a related field
