Description

You will apply deep learning and Generative AI techniques to extract insights from complex datasets and drive business strategy.

Responsibilities

• Analyze large, complex datasets to identify trends and patterns for strategic decision-making.
• Develop, implement, and validate predictive models and machine learning algorithms.
• Preprocess and clean data to maintain quality and integrity prior to analysis.
• Create data visualizations and dashboards to communicate findings to stakeholders.
• Collaborate with engineering, product management, and marketing teams to address data requirements.

Required Skills

• 14+ years of experience in data science or related fields.
• Master's degree in Data Science, Statistics, Computer Science, or a related field.
• Proficiency in Python or R.
• Expertise in Deep Learning techniques, model architectures, and parameter fine-tuning.
• Deep understanding of GenAI, foundation models, and transformer architecture.
• Strong statistical principles for machine learning applications.
• Experience with data manipulation using pandas, NumPy, and SciPy.
• Proficiency with SQL and relational databases.
• Experience with cloud platforms including AWS, Google Cloud, or Azure.
• Hands-on experience with Git, Hadoop, and Spark.
• Skill in data visualization using Matplotlib or Seaborn.

Preferred Skills

• Extensive experience working with genomic data.

Key Skills

Education

Master's degree