Description

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

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 ensure quality and integrity before analysis.
• Create data visualizations and dashboards to communicate findings to stakeholders.
• Collaborate with engineering, product, and marketing teams to address data requirements.
• Generate reports and presentations summarizing key findings and recommendations.

Required Skills

• 3+ years of experience in data science or analytics.
• Master’s degree in Data Science, Statistics, Computer Science, or a related field.
• Proficiency in Python or R.
• Strong understanding of statistical principles for ML applications.
• Experience with data manipulation using pandas, NumPy, and SciPy.
• Deep learning expertise, including model architectures and parameter fine-tuning.
• Knowledge of GenAI, foundation models, and transformer architecture.
• Experience with SQL and relational databases.
• Proficiency with Matplotlib and Seaborn.

Preferred Skills

• Extensive experience with genomic data.
• Knowledge of big data technologies such as Hadoop or Spark.
• Experience with AWS, Google Cloud, or Azure.
• Familiarity with Git version control.

Key Skills

Education

Master's degree