Description

You will build predictive models and derive actionable insights from complex datasets to drive business decisions.

Responsibilities

• Analyze large, complex datasets using SQL and Python to identify trends, patterns, and correlations.
• Develop and implement machine learning algorithms and deep learning models for tasks like image recognition and recommendation systems.
• Apply NLP techniques to extract insights from unstructured text data and develop text-based predictive models.
• Collaborate with cross-functional teams to translate business requirements into data-driven solutions.
• Evaluate and implement new technologies to improve model performance and scalability.

Required Skills

• 10+ years of experience as a Data Scientist or in a similar role.
• Mandatory proficiency in Python and SQL for data manipulation and analysis.
• Expertise in data manipulation libraries including Pandas, NumPy, and Scikit-learn.
• Deep understanding of supervised and unsupervised learning, including regression, classification, clustering, and ensemble methods.
• Hands-on 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.
• Experience implementing solutions using OpenAI APIs and tools.
• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.

Preferred Skills

• Master's or PhD degree.

Key Skills

Education

Bachelor's degree