Data Science & AI Engagement, Consumer Data Scientist

Location: New York

Job Summary
:
Balyasny Asset Management L.P. is seeking a highly motivated Data Scientist to join their Data Science & AI organization, focusing on leveraging alternative data and AI tools for investment insights. The role involves collaborating with Portfolio Managers to build data solutions and drive the adoption of generative AI products, impacting the firm's performance.

Responsibilities
:

• Proactively train and support users on data and AI tools, identify opportunities to apply LLMs and data science techniques to streamline workflows, and translate their needs into actionable projects to drive research efficiency and idea generation.

• Source, wrangle, and analyze alternative datasets to uncover investment signals, partnering with the alternative data research team on predictive modeling using a variety of structured and unstructured datasets.

• Partner with investment teams to build and maintain data and AI products that improve their workflows, clearly communicate analytical findings, and pilot emerging data analysis techniques.

Qualifications
:
Required
:

• 3-6 years of professional experience in data science, analytics, or a closely related field.

• Bachelor's/Master's degree in Mathematics, Engineering, Economics, Computer Science, or a related discipline.

• Experience in a client-facing role, ideally in the consumer sectors, scoping and delivering technical solutions to business stakeholders, is highly valued.

• Expertise in Python for data manipulation and modeling, along with strong SQL skills for database querying.

• Solid understanding of time-series data, financial data structures, and the nuances of alternative datasets.

• Demonstrated understanding of how investment professionals use (and want to use) AI in their workflows, and of the common challenges in driving AI adoption within this user base.

• Experience supporting or partnering with investment professionals in a high-stakes environment.

• Outstanding communication skills, capable of bridging the gap between technical depth and business relevance with urgency.

• Comfortable teaching and presenting to non-technical audiences.

• Excellent organizational habits, follow-through, and stakeholder management.

• Strong attention to detail with a focus on data accuracy and consistency.

• Creative problem solver with a track record of troubleshooting challenging data issues.

• Self-motivated, eager to learn, and genuinely curious about new technologies.

Preferred
:

• Familiarity with AWS or other cloud platforms, Git for version control, and Airflow (or similar orchestration tools) is a plus.

Company
:
Balyasny Asset Management (BAM) is a diversified global investment firm founded in 2001 by Dmitry Balyasny, Scott Schroeder, and Taylor O'Malley. Founded in 2001, the company is headquartered in Chicago, USA, with a team of  employees. The company is currently Late Stage.