Careers

About Highland Math

 

Highland Math’s goal is to bring intelligence to the data ecosystem. We index the world’s data transactions, helping buyers and sellers of data better undestand the value and performance of data assets and make smarter business decisions.

We’re a small, fast-growing company with a focus on data science. Pur data science and engineering team is the backbone of our oganization, helping power rich insights for clients by applying forward-thinking algorithms to unique, differentiated data sets.

Open Positions

Data Science Engineer

As a Data Science Engineer at Highland Math, you will take on the following challenges:

  • Build the infrastructure powering Highland Math’s data pipelines, compute, and devops
  • Use distributed computing to analyze large amounts of data across many sources
  • Explore vast, disparate data sets to find key insights and novel applications of data
  • Build and deploy flexible web applications for external stakeholders
  • Visualize and communicate key insights to clients (including non-technical audiences)
  • Contribute thought leadership to the data science and engineering community

Are you the ideal candidate?

 

Essential

    • At least 4 years of work experience in data science or engineering
    • Fluency with Python
    • Ability to apply best practices in big data ETL
    • Experience with:
      • Creating and maintaining databases and web applications
      • Using Hadoop ecosystem to do distributed computing on the cloud
      • Workflow managers such as Airflow Desire to join a startup and make a massive impact on the data economy
    • Ability to thrive in an ambitious yet often ambiguous environment

Ideal

    • Fluency with AWS: S3, EC2, EMR, Lambda
    • Some software engineering experience
    • Working knowledge of machine learning algorithms and statistical concepts

Senior Data Scientist

As a Senior Data Scientist at Highland Math, you will take on the following challenges:

  • Dissect complex client business needs and translate them into actionable solutions
  • Explore vast, disparate data sets to find key insights and novel applications of data
  • Develop cutting edge quantitative programs backed by machine learning and statistics
  • Use distributed computing to ingest and analyze large amounts of data across many sources
  • Visualize and communicate key insights to clients (including non-technical audiences)
  • Contribute thought leadership to the data science community

Are you the ideal candidate?

 

Essential

  • You have a degree in a quantitative field such as statistics, mathematics, data science, computer science, or engineering
  • You love working with data sets of all sizes and structures, and are fluent in manipulating them
  • Experience with common machine learning algorithms and statistical concepts
  • Fluency with Python for both scripting and data analysis acquired over 2+ years of work experience
  • Desire to join a startup and make a massive impact on the data economy
  • Ability to thrive in an ambitious yet often ambiguous environment
  • Eager to learn new skills and continue to grow as a data scientist

Ideal

  • Experience using Hadoop ecosystem to do distributed computing on the cloud
  • Working knowledge of advanced machine learning algorithms
  • Ability to apply best practices in big data ETL
  • Fluency with linux command line

Ready to apply?

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