Junior Data Science Developer

New York, NY

Full-time

Hybrid

$90K/yr - $140K/yr

Entry Level

Neuberger Berman is an independent and employee-controlled asset management company, providing global investment solutions. They are seeking a dynamic and proactive junior developer to join their team, focusing on uncovering insights from large datasets and building scalable pipelines to support data-driven decision-making.

Apply Now

Responsibilities

Collaborate closely with Data Scientists to design and develop scalable data pipelines for processing large structured and unstructured datasets.
Build robust and efficient pipelines leveraging Snowflake, Databricks, and AWS services such as Lambda and Batch, using Python, PySpark, and Snowpark.
Support and maintain existing production workflows in Airflow, while onboarding and optimizing new processes.
Integrate new software tools for advanced data analysis into the existing technology stack.
Assist in the evaluation of new data sources by facilitating data transfer, processing, and analysis.
Identify and obtain public datasets, such as temperature and census data, to support team research and analysis efforts.

Qualification

Required

Bachelor's degree or higher in Computer Science, Data Science, or Engineering.
2+ years of hands-on experience with Python, R, or Scala for data science applications.
Experience in cleaning, aggregating, and pre-processing data from diverse sources to ensure data quality.
Proficiency in Snowflake for data analysis and pipeline development.
Familiarity with data analytics and pipeline workflows using Python and Databricks/Spark.
Strong understanding of Agile software development frameworks.
A collaborative mindset with a passion for learning and a proven ability to apply analytical and problem-solving skills effectively.