Description

You will build and deploy machine learning and generative AI solutions to solve complex business problems.

Responsibilities

• Lead end-to-end development of predictive models and machine learning algorithms.
• Perform exploratory data analysis, preprocessing, and feature engineering on large datasets.
• Define strategies to leverage existing and new datasets to extend product capabilities.
• Collaborate with data engineers, product teams, and stakeholders to translate business use cases into technical solutions.
• Conduct rigorous model evaluation and validation to ensure reliability.
• Implement best practices for data management, analysis, and model deployment.

Required Skills

• 5+ years of experience in data science or a closely related field.
• Proficiency in Python, R, or Scala.
• Experience with pandas and NumPy.
• Hands-on use of scikit-learn, TensorFlow, or PyTorch.
• Ability to translate business requirements into analytical solutions.
• Strong technical communication skills for presenting to non-technical stakeholders.
• Bachelor's or master’s degree in computer science, Statistics, Mathematics, or a related field.

Preferred Skills

• Experience with big data technologies including Hadoop and Spark.
• Experience with cloud platforms such as AWS, Azure, or GCP.

Key Skills

Education

Bachelor's or master’s degree in computer science