Sr. Data Scientist

Senior Data Scientist

Qualifications:

• Advanced proficiency in Python programming, with extensive experience using libraries like Pandas, NumPy, and scikit-learn.
• Expert knowledge of machine learning techniques and frameworks, with substantial experience in developing, deploying, and maintaining sophisticated models.
• Proven track record in implementing deep learning solutions, utilizing architectures such as CNNs, RNNs, and transformers.
• Thorough understanding of OCR technologies and their applications in real-world scenarios.
• Experience with generative AI, including work with both open-source and commercial Large Language Models (LLM).
• Proficiency in using AWS for deploying and managing applications, utilizing services such as S3, EC2, RDS, and AWS Lambda for scalable data processing and machine learning workflows.
• Comprehensive knowledge of data structures, algorithms, and statistical methods.
• Strong analytical skills, with an exceptional ability to solve complex problems and drive critical decision-making processes.
• Excellent communication skills, with proven experience in leading teams and collaborating effectively across various departments.

Key Responsibilities:

• Lead and mentor a team of data scientists

  in developing and optimizing algorithms to analyze and interpret complex datasets using Python and its libraries.
• Design and implement robust

  Machine learning

  models and predictive analytics solutions across various business units to support strategic objectives.
• Innovate and apply state-of-the-art

  Deep learning techniques

  for image and document analysis, including advanced object detection and NLP applications.
• Drive the integration of

  OCR technologies

  to enhance our data extraction and analysis capabilities.
• Oversee the design and development of

  scalable data processing pipelines

  , ensuring the alignment with business requirements and long-term strategic goals. utilizing

  AWS cloud infrastructure

  for enhanced performance and scalability.
• Foster a culture of continuous improvement by staying abreast of the latest advancements in data science, machine learning, and OCR technology.
• Lead cross-functional projects, providing data-driven insights and recommendations to executive leadership and stakeholders.
• Ensure the highest standards of data integrity and reliability across all data science projects.