Job Duties
- Under general supervision, a Data Scientist will perform data engineering, data modelling, or model deployment.
- A Data Scientist will collaborate to obtain data from sources, complete data clean-up and build a data dictionary under guidance.
- This role can build models under guidance and understand how to deploy the model and assist in the deployment process.
- Transition legacy SQL Server reporting infrastructure to a Snowflake-based data lake architecture
- Understand business requirements, analyze operational challenges, and develop AI-driven solutions that deliver measurable business value and process improvements.
- Design, develop, and implement AI/ML models and algorithms.
- Build and deploy machine learning, deep learning, and NLP solutions.
- Work with structured and unstructured datasets to extract meaningful insights.
- Develop and optimize data pipelines for model training and deployment.
- Integrate AI models into applications through APIs or cloud platforms.
- Monitor model performance and continuously improve model accuracy and efficiency.
- Stay updated with the latest advancements in AI and machine learning technologies.
- Document technical solutions, models, and development processes.
Qualification
- Bachelor’s or Master’s degree in computer science, Artificial Intelligence, Data Science, or related field
Minimum 3 years of relevant experience in AI/ML development, data engineering, or related fields
Preferred Certifications (Added Advantage)
- AI / Machine Learning certifications
- Data Analyst certifications
- Data Science certifications
- Cloud certifications (Azure, AWS, or GCP)
Required skills:
- Strong programming skills in Python (preferred), Java, or C++
- Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
- Hands-on experience with Snowflake data platform
Additional competencies:
- Knowledge of data structures, algorithms, and statistical analysis
- Experience with NLP, computer vision, or predictive modeling
- Familiarity with cloud platforms such as Azure, AWS, or GCP
- Experience with APIs, microservices, and system integration
- Strong analytical, problem-solving, and communication skills