Associate Data Scientist at Kyndryl's AI Innovation Hub transforming raw data into actionable insights. Collaborating with senior scientists to develop machine learning models and tackle real business challenges.
About the role
- Data Scientist II leveraging advanced statistical methods and machine learning at F5. Join the Data & Insights team to create impactful data products and drive business success.
Responsibilities
- Leverage advanced statistical methods, machine learning, and LLMs to create data products
- Design, develop, and deploy statistical models and machine learning algorithms
- Perform exploratory data analysis to uncover trends, patterns, and anomalies
- Build predictive and classification models to forecast key metrics
- Design and execute experiments, including A/B tests
- Develop AI agents and NLP solutions to solve business problems
- Partner with various teams to understand business requirements and deliver insights
- Present findings and recommendations to business users and senior leadership
- Stay current with advancements in AI and data science methodologies
Requirements
- Master's degree in Data Science, Statistics, Computer Science, Mathematics, Physics, or a related quantitative field
- 3+ years of professional experience in data science
- IP-respectful portfolio of work examples
- Hands-on experience with large-scale datasets using Snowflake and Databricks
- Proficient in SQL and Python
- Skilled in LLM prompt engineering and integrating LLM APIs
- Expertise with machine learning frameworks (e.g., TensorFlow, PyTorch)
- Experience with MLflow, feature stores, and feature evaluation tools
- Strong understanding of experiment design, A/B testing, and causal inference methodologies
- Experience with containerization and deployment tools (e.g., Docker, Kubernetes)
- Comfortable with version/source control (e.g., Git)
Benefits
- Competitive salary plus benefits
- Incentive compensation
- Bonus
- Restricted stock units
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