Senior Data Scientist I

Senior Data Scientist I to work with data and analytics to solve problems, bring GenAI, Machine Learning and NLP expertise to projects, and develop and deploy cutting-edge Generative AI models and solutions.

Requirements

• Master’s or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related field.
• 5+ years of relevant applied experience in data science, with a focus on Generative AI, NLP, and machine learning.
• Proficiency in Python for advanced data analysis, model development, and deployment.
• Strong experience with transformer models and fine-tuning techniques for large language models (LLMs).
• Proficiency in Generative AI technologies, including utilizing LLMs via API access, LLM evaluation tools, and prompt engineering.
• Experience with advanced algorithms in deep learning, neural networks, reinforcement learning, and transfer learning.
• Familiarity with traditional machine learning algorithms such as random forests, SVM, logistic regression, and Bayesian modelling for model building, validation, and testing.
• Understanding of AI ethics, guardrail implementation, and evaluation metrics.
• Familiarity with cloud platforms (e.g., Bedrock, AWS, Azure) for model deployment and the creation of production-ready pipelines.
• Proficiency in data visualization tools and techniques.
• Experience with version control systems (e.g., GitLab or GitHub), Jira, and working in an Agile environment.
• Proficient in using *nix systems, open-source software, Jupyter Notebook, libraries, and cloud computing.
• Excellent problem-solving and analytical skills, with strong attention to detail.
• Strong communication skills and the ability to work effectively in a team-oriented environment.

Benefits

• Health insurance options for you and your family.
• Group life and accident insurance for financial security.
• Employee assistance programs and mental health resources.
• Flexible working arrangements for work-life balance.
• Paid time-off options, including sick leave, vacation, and public holidays.
• Subsidized meals and free transportation in select locations.
• Shared parental leave
• Study assistance
• Sabbaticals
• Access to wellness programs