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Data Scientist (Supply Chain /Logistics) - Remote

  • Location

    United States

  • Sector:

    Data Science

  • Salary:

    Market Competitive

  • Contact:

    Jason Rumney

  • Contact email:

    jason@intelletec.com

  • Job ref:

    AAJR54939

  • Startdate:

    ASAP

  • Consultant:

    Jason Rumney

Our fast-growing client who recently raised $80 million in Series B funding and are looking for a number of Data Scientists.

 

The business….Think of the self-driving car: connected, always-on, thinking, and autonomous. Their mission is to enable companies in the same way.

They’re looking for Data Scientists with at least 4 years plus experience. This role MUST include logistics & Supply Chain experience. The role can be REMOTE (Based in the US)

You will be working on new and challenging data science applications, using Machine Learning to solve complex business problems.

Responsibilities:

  • Transform business problems into data problems.

  • Research and build statistical/machine-learning models.

  • Perform Exploratory Data Analysis and Statistical Analysis; clearly, present the results of an analysis to customers and management.

  • Collaborate with other team members to build data-science products and services using the Aera platform.

Skills:

  • Master’s Degree in Computer Science, Mathematics, Statistics or a related quantitative field with a focus on Machine Learning or Deep Learning. Ph.D. preferred.

  • 4-8 years of professional experience as a Machine Learning Engineer/Data Scientist; preferably in a product development setting.

  • Good intuitive understanding of machine learning algorithms and practical experience building models with incremental/iterative approach.

  • Proficiency in Python.

  • Hands-on experience with machine learning toolkits such as scikit-learn and TensorFlow.

  • Hands-on experience with software development, including translating ML models into scalable production services.

  • Experience working with cloud platforms such as AWS, and Google Cloud Platform and distributed computing technologies such as Apache Spark.

  • Experience working in a Remote capacity prior.

If you share our passion for building the next generation of enterprise software and implementing it for the most sophisticated customers in the world please get in touch