Senior Data Scientist

Responsibilities:

• Lead and mentor a team of data scientists and engineers, setting clear goals and ensuring high-quality deliverables.
• Develop and implement advanced machine learning models and algorithms to solve complex business problems.
• Collaborate with cross-functional teams (Product, Engineering, Business) to understand business needs and translate them into data-driven solutions.
• Stay updated on new trends and technologies in data science and machine learning, incorporating innovative approaches into projects.
• Design and implement robust data pipelines and architectures to support model development and deployment.
• Ensure the integrity and confidentiality of all data processed in compliance with company policies and regulations.
• Lead research initiatives to explore and prototype new methodologies and technologies for data analysis and modeling.
• Communicate complex data concepts and the results of analyses in a clear and effective manner to stakeholders at all levels.
• Foster a culture of continuous learning and development within the team.

Qualification:

• BS/Master’s in Computer Science, Data Science, or a related field.
• Over 6 years of experience in data science, with a minimum of 2 years in a leadership role.
• Demonstrated successful track record in OCR, face matching, predictive analytics, and the practical application of Large Language Models (LLMs).
• Deep understanding and hands-on experience with LLMs, including GPT models and their applications in natural language processing and generation.
• Expertise in machine learning, computer vision, and NLP technologies.
• Proficiency in Python, TensorFlow, PyTorch, OpenCV, and similar tools and libraries.
• Demonstrated ability to lead and inspire a team, driving projects from conception to completion.
• Exceptional problem-solving skills, with a portfolio showcasing work in AI, particularly in OCR, face/image matching, predictive analytics, and LLMs.

Must Have:

• BS/Master’s in Computer Science, Data Science, or a related field.
• Over 6 years of experience in data science, with a minimum of 2 years in a leadership role.
• Successful track record in OCR, face matching, predictive analytics, and the practical application of LLMs.
• Deep understanding and hands-on experience with GPT models and their applications.
• Proficiency in machine learning, computer vision, and NLP technologies.
• Strong skills in Python, TensorFlow, PyTorch, OpenCV, and similar tools.
• Proven leadership and team management experience.
• Exceptional problem-solving skills.

Good to Have:

• Experience with additional programming languages and tools.
• Knowledge of cloud platforms (AWS, Google Cloud, Azure).
• Experience in deploying machine learning models in production environments.
• Knowledge of data privacy regulations and compliance.
• Publications or contributions to the data science community.
• Experience with agile development methodologies.
• Understanding of business and product strategy.