Responsibilities:
– Develop and deploy time series machine learning models to solve business problems Analyze data to identify trends, seasonality, and anomalies.
– Conduct root cause analysis and identify causal relationships.
– Develop LLMs, generative AI, embedding I and vector searches.
– Identify product related opportunities through data driven innovation.
– Acquire and synthesize data
– Work independently and as part of a team
Qualifications:
– Master%27s degree in statistics, mathematics, computer science, or a related field
– Experience in time series machine learning.
– Experience with root cause analysis and causality.
– Experience with LLMs, generative AI, embedding and vector searches.
– Experience with data driven innovation.
– Strong analytical and problem solving skills Excellent communication and presentation skills.
– Ability to work independently and as part of a team.
