Senior Data Scientist
We are seeking a dynamic Senior Data Scientist to join our Data Science team. The ideal candidate will have handson experience with large language models (LLMs) retrievalaugmented generation (RAG) and agentic AI. This role also involves leadership responsibilities driving product initiatives and collaborating with business stakeholders to ensure that our AI projects deliver tangible business impact.
Key Responsibilities
- Design develop and implement AI solutions to solve complex business problems.
- Guide and mentor junior data science team members overseeing modeling approaches experiment design and development timelines.
- Own the endtoend product lifecycle for AI/ML initiatives by collaborating closely with crossfunctional teams to define requirements set timelines and align on strategic priorities.
- Communicate effectively with business stakeholders translating complex technical concepts into actionable insights and product roadmaps.
- Coordinate with data engineers to build and maintain data pipelines that support both realtime and batch AI workloads.
- Establish best practices for model performance testing monitoring and lifecycle management (MLOps).
- Stay informed about emerging trends in AI/ML to propose and lead the adoption of cuttingedge solutions.
- Maintain thorough documentation and perform code reviews to uphold highquality standards.
Qualifications
- 5 years of industry experience with a graduate degree specializing in Machine Learning Data Science or related fields (e.g. Natural Language Processing Statistics Operations Research).
- Proven track record of designing and deploying AI/ML solutions especially involving LLMs/generative AI.
- Strong proficiency in Python and familiarity with frameworks such as TensorFlow PyTorch or scikitlearn.
- Experience with cloud platforms (AWS GCP Azure) and familiarity with big data ecosystems (e.g. Elasticsearch Athena vector databases).
- Exposure to MLOps tools and practices (e.g. Airflow SageMaker MLflow).
- Experience in leading or mentoring data science teams and delivering highimpact projects.
- Excellent problemsolving skills with a solid understanding of algorithms data structures and statistical methods.
- Strong written and verbal communicationskills and the ability to collaborate effectively with technical and nontechnical stakeholders.
The estimated base salary range for this position is $160000to $250000 which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary discretionary performance bonus and a comprehensive benefits package. When finalizing an offer we take into consideration an individuals experience level and the qualifications they bring to the role to formulate a competitive total compensation package.
Required Experience:
Senior IC