Career Opportunities >> Data Scientist
Data Scientist
Summary
Title: Data Scientist
ID:1058
Department:R&D
Location:Pleasanton, CA
Description

Blume Global (formerly REZ-1) is empowering a new era of supply chain innovators to accelerate their businesses and deliver products and services more efficiently and effectively. We’re drawing on more than two decades of experience to build a purpose-driven, growth-focused global supply chain ecosystem that aligns asset management, real-time visibility and financial settlement—all on one platform.

As part of Blume solution development team, you will use the latest innovations in artificial intelligence, machine learning, natural language processing, blockchain, big data, intelligent robotic process automation and Internet of Things to create a vibrant supply chain ecosystem that is truly collaborative, purposeful and focused on real value creation.

As a Data Scientist, you will join a high-performing, global team and assist with designing, developing the next generation of ML and AI-based supply chain platform. You will work closely with application architects to integrate predictive algorithms into operational platforms, including Hadoop and NoSQL architectures.

The Sr. Data Scientist role is expected to identify opportunities for new growth and efficiency based on data analyses.

You will also be expected to actively participate in defining and governing the analytics strategy for Blume Global products, as well as begin a strong leader in executing data science-driven projects as we build out capabilities and our next generation platform.

Key Responsibilities

  • Develop data modeling, machine learning and data visualization solutions to address customer needs
  • Foster relationships with engineering and product management team members to identify important questions and recommending innovative solutions using data
  • Communicate project output in terms of customer value, business objectives, and product opportunity
  • Promote data science methods and processes across solutions
  • Identify opportunities for new growth and efficiency based on data analyses
  • Project output in terms of customer value, business objectives, and product opportunity
  • Responsible for designing, developing, and implementing data driven solutions

Skills and Qualifications

  • Ph.D. degree in Computer Science, Engineering, or Applied Mathematics
  • Expert knowledge of a scientific computing language (such as R or Python) and SQL
  • Data Science prototyping experience of physical systems
  • Experience with distributed storage and compute tools (e.g. Hive, Spark)
  • Experience bringing prototypes to production on Hadoop/Spark platforms and/or as containerized services.
  • Experience with Natural Language Processing, Deep Learning using Tensorflow (CNN, RNN, LSTM, GANs), Streaming Analytics (i.e. Spark Streaming)
  • Experience with Data Visualization Tools (Tableau, Plotly, Bokeh etc.)
  • Experience working with remote and global teams
  • Results driven with a positive can-do attitude

 

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