Senior Specialist - Data Sciences

Responsibilities

• Analyze large complex datasets to identify trends patterns and correlations using SQL and Python
• Develop and implement machine learning algorithms and models to solve business problems and optimize processes
• Build and train deep learning models for tasks such as image recognition natural language processing and recommendation systems
• Apply NLP techniques to extract insights from unstructured text data and develop textbased predictive models
• Collaborate with crossfunctional teams to understand business requirements and develop datadriven solutions
• Evaluate and implement cuttingedge technologies and algorithms to improve model performance and scalability
• Communicate findings and insights to stakeholders through clear and compelling data visualizations reports and presentations

Qualifications

• Bachelor’s degree in Computer Science, Statistics, Mathematics or a related field
• Masters or PhD preferred
• Proven experience as a Data Scientist or similar role with a strong portfolio of successful projects
• Mandatory proficiency in SQL and Python for data manipulation querying and analysis
• Expertise in data manipulation libraries such as Pandas, NumPy, and Scikit-Learn
• Deep understanding of machine learning techniques and algorithms including supervised and unsupervised learning, regression, classification, clustering, and ensemble methods
• Handson experience with deep learning frameworks such as TensorFlow, Keras, or PyTorch
• Solid understanding of NLP concepts and experience with libraries such as NLTK, spaCy, or Transformers
• Familiarity with OpenAI technologies and experience implementing solutions using OpenAI APIs and tools is a plus
• Strong analytical and problem-solving skills with the ability to translate business requirements into datadriven solutions
• Excellent communication and collaboration skills with the ability to work effectively in a team environment
• Demonstrated ability to work on multiple projects simultaneously and deliver highquality results under tight deadlines