A1 Placement

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Data Scientist

at A1 Placement

Pay: $75,000 to $80,000/year
Posted: 5/11/2019
Job Status: Full Time
Job Reference #: 27150

Job Description

An expanding NYC-based tech company is expanding their team with additional data scientists. This is a growing company seeking individuals to grow with them, and they seek to provide an environment of on the job learning to continue driving that growth. This is a flexible position that can be filled at entry level or higher.

About You:

You’re naturally inquisitive and a prolific learner. You take the initiative to ask questions and find answers. You have a background that includes some or all of the following:

Tech familiarity:

  • Python and core data science libraries: numpy, pandas, sklearn, matplotlib, keras, etc.
  • Geospatial data formats, standards, and libraries
  • Database design, ETL, and/or querying large datasets
  • Git version control and workflows
  • Object-oriented programming and data structures

Interest and experience in:

  • Working with stakeholders to understand a problem, create a solution approach, articulate technical results and make recommendations to a non-technical audience.
  • Understanding and familiarity with remotely sensed data and the underlying physics
  • Implementing detailed state of the art research methods into scientific software.

Essential Functions:

  • Develop and maintain high quality, reusable code to support repeatable and globally scalable ML/AI capabilities.
  • Clean, understand, and prepare unorganized customer datasets for ingestion into globally standardized frameworks.
  • Create strategies to extract, transform, and unify data between disparate sources.
  • Performs ad-hoc analysis as necessary to support specific project work.
  • Build conceptual models to demonstrate a problem-solving methodology.
  • Creating visualizations to better understand underlying relationships and communicate findings.
  • Communicates with internal and external stakeholders to gain business problem clarity, obtain consensus, and develop appropriate solutions.
  • Examine agricultural operations on site with field managers and agronomists, gain an understanding of the decision space of operation and identify opportunities for data science to create value.

Basic Requirements:

  • A Bachelors or advanced degree in a quantitative or technical degree program