Description
We are seeking an experienced Data Scientist to join our AI & Data Science team, focusing on modern data engineering and platform-based development. This role emphasizes building scalable, production-grade data and machine learning pipelines that support analytics, predictive models, and AI-driven insights across the firm, particularly within our Databricks environment.
Compensation and Benefits
- Competitive salary based on experience
- Flexible work arrangements including remote options
- Opportunity to work with cutting-edge technology in a collaborative environment
- Professional development opportunities
Why you should apply for this position today
This role offers a unique chance to make a significant impact within a forward-thinking organization. You will work alongside talented professionals in a dynamic environment, contributing to innovative projects that leverage data science to drive business success.
Skills
- 5+ years of experience in data science, data engineering, applied machine learning, or advanced analytics roles
- Advanced proficiency in Python, with experience building production-grade data, ML, or GenAI pipelines
- Hands-on experience with Generative AI or LLM-based systems
- Strong grounding in data analysis, statistics, and exploratory analysis
- Experience translating business questions into analytical approaches
- 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
- Excellent communication skills
Responsibilities
- Build scalable, production-grade data and machine learning pipelines
- Power analytics and predictive models across the firm
- Work within Databricks environment for data engineering tasks
- Translate business requirements into analytical frameworks
- Communicate insights effectively to non-technical stakeholders
- Collaborate with cross-functional teams on data initiatives
Qualifications
- 5+ years of relevant experience in data science or related fields
- Proven experience in deploying and maintaining machine learning models
- Strong analytical and problem-solving skills
- Excellent interpersonal and communication skills
Education Requirements
- Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field
Education Requirements Credential Category
Experience Requirements
- 5+ years of experience in data science, data engineering, or related roles
- Experience in production environments and with data platforms
- Hands-on experience with Generative AI or similar technologies
Why work in New York, NY
New York City is a vibrant hub of innovation, culture, and opportunity. As a center for technology and finance, it offers unparalleled access to professional development and networking. The city’s diverse environment fosters creativity and collaboration, making it an exciting place to grow your career.