Senior Data Scientist
Skills
Apache SparkDriftLarge Language ModelsModelingProfessional ServicesSemantic SearchStructured Finance
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- US Citizenship required to obtain a Public Trust
- DHS ICE Public Trust preferred
- Master degree and 9 years of experience or Bachelor degree and 12 years of experience
- Hands-on experience as a Data Scientist Machine Learning Engineer AI Specialist or similar role
- Experience using LLMs and AI models to analyze summarize classify extract or enhance data
- Strong understanding of statistical analysis and statistical modeling
- Strong Python skills with libraries such as pandas NumPy scikit-learn statsmodels or similar
- Strong SQL skills and ability to query join transform and analyze data
- Experience working with large datasets and complex data environments
- Experience with machine learning techniques such as classification regression clustering anomaly detection and recommendation methods
- Ability to prepare validate and structure data for analysis and modeling
- Understanding of model evaluation validation performance metrics and tuning
- Ability to work with both structured and unstructured data
- Strong communication skills and ability to explain technical concepts to business and technical audiences
Nice to have
- Customer-facing
- Analytical thinking
- Problem solving
- Collaborative
- Detail-oriented
- Mission-driven
Day to day
- Work directly with customers and stakeholders to gather requirements explain findings and deliver practical recommendations.
- Use LLMs machine learning models and statistical methods to identify patterns trends anomalies and relationships within data.
- Transform raw messy or complex data into usable meaningful and business-ready information and support decision-making.