Data Scientist

New York City, NY - USA

Monthly Salary: Not Disclosed

Posted on: 7 hours ago

Vacancies: 1 Vacancy

Job Summary

Title: Data Scientist

Location: NYC NY or Remote

Type: Contract

About the Role

We are seeking an experienced Data Scientist to join our AI &; Data Science team with a
strong emphasis on modern data engineering and platform-based development. This role
focuses on building scalable production-grade data and machine learning pipelines that
power analytics predictive models and AI-driven insights across the firm including work
within our Databricks environment.

In addition this role plays a key part in the development enhancement and
operationalization of Generative AI and Large Language Model (LLM) powered tools that
support executive recruiting and leadership advisory workflows.
While advanced analytical thinking is essential this position is highly execution-oriented.
You will spend the majority of your time designing data architectures developing robust
Python-based pipelines operationalizing models and GenAI systems and partnering closely
with engineering teams to deploy and maintain solutions in production.
This role also requires strong foundational data analysis and statistical reasoning with the
ability to translate ambiguous leadership and talent questions into analytical frameworks
insights and recommendations that are credible and actionable for consultants and executive
clients.

Key Responsibilities
Data Engineering and Machine Learning
Design build and maintain scalable data pipelines using Azure systems Databricks and Python to support analytics machine learning and AI use cases
Develop and operationalize machine learning models ensuring reproducibility performance and reliability in production environments
Partner with data engineers and platform teams to optimize data ingestiontransformation and storage across enterprise data sources
Write high-quality production-ready Python code for feature engineering model pipelines and data validation
Establish monitoring and observability for data and ML pipelines including data quality checks and model performance metrics
Contribute to shared libraries standards and best practices for data engineering and applied machine learning

Generative AI & LLM Enablement
Develop enhance and productionize LLM-powered applications such as candidate summarization role profiling market mapping knowledge retrieval and insight
generation
Improve existing GenAI tools through prompt engineering evaluation frameworks fine-tuning approaches and retrieval-augmented generation (RAG) pipelines
Partner with engineering teams to integrate LLM services into enterprise platforms with appropriate controls for security governance and observability

Design and implement evaluation metrics for GenAI outputs including accuracy relevance consistency bias and business usefulness
Monitor GenAI systems in production and iterate based on performance data and user feedback

Applied Data Analysis for Executive Recruiting & Leadership Advisory
Conduct exploratory and structured data analysis to support executive search leadership assessment succession planning and market intelligence
Translate leadership and talent questions into analytical hypotheses metrics and data requirements
Analyze candidate role and market data to identify patterns related to experience career progression leadership capabilities and search outcomes
Partner with consultants analytics teams and business stakeholders to interpret results validate assumptions and communicate insights clearly
Ensure analytical outputs are statistically sound context-aware and suitable for executive-level decision-making

Required Qualifications

5 years of experience in data science data engineering applied machine learning or advanced analytics roles
Advanced proficiency in Python with demonstrated experience building production- grade data ML or GenAI pipelines
Hands-on experience working with Generative AI or LLM-based systems including prompt design evaluation and application integration
Strong grounding in data analysis statistics and exploratory analysis
Experience translating business or domain questions into analytical approaches and communicating insights to non-technical stakeholders
Strong hands-on experience with Databricks (Spark notebooks jobs Delta Lake) in a production environment
Solid understanding of data modeling ETL/ELT patterns and distributed data processing
Experience deploying and maintaining machine learning models in production environments
Excellent communication skills with the ability to explain complex technical concepts clearly

Preferred Skills

Experience with MLflow model registries and experiment tracking
Familiarity with version control and deployment workflows for data ML and GenAI solutions
Experience with RAG architectures vector databases or semantic search
Familiarity with GenAI evaluation techniques including human-in-the-loop review
Knowledge of SQL and data warehousing concepts
Experience supporting talent analytics people analytics executive assessment or professional services use cases
Ability to design analyses and narratives appropriate for senior consultant and executive audiences
Experience working in regulated or enterprise environments with an emphasis on reliability governance and trust

Title: Data Scientist Location: NYC NY or Remote Type: Contract About the Role We are seeking an experienced Data Scientist to join our AI &; Data Science team with a strong emphasis on modern data engineering and platform-based development. This role focuses on building scalable production-grade...