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Data Science Software Engineer

Data Science Software Engineer

  • Location

    Cambridge, Massachusetts

  • Sector:

    Backend Engineering

  • Job type:

    Permanent

  • Salary:

    Negotiable

  • Contact:

    Daniel Haddad

  • Contact email:

    dhaddad@understandingrecruitment.com

  • Job ref:

    BBBH6965_1576590608

  • Published:

    4 months ago

  • Expiry date:

    2020-01-16

We are looking for a Data Science Software Engineer (Python, SQL, Data Pipelines) to join our award-winning company is setting out to build the world's most trusted and transparent marketplace after being voted the #1 most popular online shopping platform within the USA.

We are searching for a Data Science Software Engineer to help push forward their globally recognized online marketplace platform- whose vision is to create the optimal shopping experience through the use of ML & complex data analytics; used by millions of customers per day.

Based in Cambridge, this company uses leading proprietary technology, search algorithms, and innovative Machine Learning to serve its nationwide consumer-base. As a Data Science Software Engineer, you will build robust Python libraries, using raw data to help create feature engineering. Furthermore, creating a platform to deploy full - scale models that will make the Data Science team as productive as possible.

We can offer a Data Science Software Engineer:

  • A chance to be in charge of your own projects and products from the ground up.
  • A culture of diversity, creativity, and inclusivity - all working together under one shared vision.
  • Intellectual challenges that you would not experience in most companies.
  • No corporate bureaucracy!

Key Skills: Data Science, Data Scientist, Software Engineer, General Machine Learning, Statistical Modelling, SQL, Data Pipelines, Python, Regression, Optimization, Recommendation Systems, Deep Learning, Reinforcement learning, NLP, Computer Vision, Experimental Design, R, Math, Research & Development, Business, Strategy, Reports, Stakeholders, decision making, roadmapping, Product, Metrics.