below marketmost similar roles pay hereabove market
This listing doesn't post a salary. Most similar roles pay
$126,800–$211,200.
Based on 240 similar postings.
Employer
About Balyasny Asset Management
Balyasny Asset Management (BAM) is a global multi-manager hedge fund offering diversified investment strategies across equities, macro, commodities, and systematic trading.
Balyasny Asset Management currently has
53 open roles
on FindRole.
Listed pay typically runs
$175,000–$250,000
across 37 roles with salary data.
The Data Scientist - Geospatial and Remote Sensing (Summer Internship - Master's) joins the Commodities Data Science team to develop tools, signals, and decision-support capabilities for global investment teams. This intern will work on the end-to-end development process, translating investment needs into analytical solutions by preparing data, developing statistical and machine-learning models, and communicating results through visualizations and dashboards. Key projects involve satellite and aerial imagery analysis, GPS mobility data, meteorological and hydrological modeling, and crop-yield forecasting. Required skills include Python, numpy, pandas, scikit-learn, matplotlib, and SQL, along with an understanding of ETL tools and GitHub. Preferred technologies include Apache Airflow, AWS, PostGIS, Spark, STAC, Databricks, and deep learning frameworks like Tensorflow, Keras, and PyTorch to solve complex commodities investment problems.
What does a Data Scientist earn in New York?
Median $173200 from 41 postings across 19 companies.
Use structured and alternative data to solve commercially relevant problems for Commodities Investment Teams.
Build, validate, and improve statistical and machine-learning models and signals.
Develop reliable data pipelines and datasets for analytical and investment use cases.
Deploy and maintain data products using cloud-native architecture.
Translate investment-team needs into practical geospatial analytics and data products.
Produce actionable insights through visualizations, dashboards, and concise written output.
Analyze satellite imagery, GPS mobility data, and meteorological or hydrological models.
What we're looking for
Must be a Master's student graduating between December 2027 and May 2028.
Must be pursuing a degree in Computer Science, Mathematics, Statistics, Remote Sensing, Geography, Geomatics, GIS, Geospatial Data Science, or a related quantitative field.
Must possess exceptional analytical, data processing, and programming skills in Python, NumPy, Pandas, Scikit-learn, Matplotlib, and SQL.
Must have an exceptional understanding of statistical and machine learning concepts.
Must be able to clearly communicate complex and technical subject matters.
Must be results-driven, organized, and able to work collaboratively in an ambiguous environment.
Familiarity with ETL tools and managing code repositories (GitHub).
Experience with Apache Airflow, AWS, PostGIS, Spark, STAC, Databricks, Deep learning frameworks, or alternative datasets (preferred).
Python
Scala
Java
C++
SQL
Spark
PyTorch
TensorFlow
scikit-learn
LLM
Generative AI
Machine Learning
Data Modeling
Data Structures
Software Development Lifecycle
Data Analysis
Predictive Modeling