Data Scientist, Specialist
Core
Leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making while mentoring junior data scientists.
Role type
Senior IC data scientist (predictive analytics & GenAI)
Builds
Scalable data mining models, reporting protocols, and GenAI/LLM based solutions
Domain
Investment management, finance, and economics
Deliverable
production ML models
Required skills
Python, SQL, PySpark, machine learning libraries (Scikit-learn, TensorFlow), statistical modeling, big data environments (Spark/Hadoop), data wrangling, GenAI/LLM development (via careerplan.io/jobs/178033-data-scientist-specialist-at-vanguard)
Preferred skills
AWS ecosystem (SageMaker, Athena, Glue, IAM), Tableau or Power BI, exploratory research
Technologies
Python, R, SQL, PySpark, TensorFlow, Scikit-learn, Spark, Hadoop, AWS SageMaker, AWS Athena, AWS Glue, AWS IAM, Tableau, Power BI
Responsibilities
Develop complex queries and perform extensive programming to access, transform, and prepare data for statistical modeling; Identify and diagnose data inconsistencies and errors; Engage with internal stakeholders to understand business processes and translate requirements into an analytic approach; Guide test design, research design, and model validation; Design scalable data mining models and reporting protocols to identify trends and patterns in massive datasets; Apply modern and emerging data science techniques to solve business problems across functions such as marketing, economics, and operations; Contribute to the advancement of analytics through exploratory research and application of cutting-edge statistical theory.
Seniority
Senior, hands-on IC with mentorship responsibilities
