drive profitable growth and business innovation through machine learning techniques
spearhead high-impact data science projects to improve product personalization and customer experience
work closely with data scientists, ML engineers, software developers, and business stakeholders
architect agentic AI solutions to optimize offer personalization and automate customer queries
develop predictive models to forecast customer behavior and business events
oversee the end-to-end development and operational lifecycle
lead discussions with key business leaders to align data science initiatives with business strategies
partner with engineering teams to deploy models into production
serve as a subject matter expert on agentic development and machine learning
drive technical excellence through active research

Bachelor’s degree or four or more years of work experience
Six or more years of relevant experience required
Strong foundational knowledge in mathematics, statistics, physical sciences, engineering, or a related quantitative field
Experience developing and deploying AI agents end-to-end, with solid hands-on knowledge of LLMs, RAG, LangChain, and LangGraph
Hands-on programming experience in Python and SQL
Experience in machine learning/deep learning algorithms, including Transformer, transfer learning, NLP using Pytorch and scikit-learning packages
Experience with data platforms such as Spark, Hadoop, BigQuery, Snowflake or others
Experience with GCP, AWS, or other cloud computing services
Even better if you have one or more of the following: A Ph.D. in Computer Science, Engineering, Data Science, or a related field
Strong communication and interpersonal influencing skills

Principal Data Scientist

Key skills