Career Opportunities >> Associate Data Scientist
Associate Data Scientist
Summary
Title:Associate Data Scientist
ID:1110
Department:R&D
Location:Pleasanton, CA
Description

About us:
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 an Associate 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 data science algorithms into operational platforms using Hadoop and NoSQL architectures.

This is a newly created position due to growth and our mission to disrupt the market with new & innovative technology. Come make your mark & plant your seeds - - it’s your time to BLUME!

Responsibilities:

  • Develop data modeling, machine learning, and data visualization products to address customer needs
  • Responsible for designing, developing, and implementing ML models to be used in a production environment.
  • Foster relationships with engineering and product management team members to identify important questions and recommending innovative solutions using data
  • Develop prototypes and execute experiments to evaluate the performance of ML/AI architectures/algorithms in large-scale industrial applications.
  • Communicate project output in terms of customer value, business objectives, and product opportunity

 

Skills and Qualifications:

  • Ph.D. degree in Computer Science, Engineering, or Applied Mathematics, Operations Research, Applied Mathematics, Industrial Engineering or other related scientific disciplines.
  • Research expertise in few of the following areas: computer vision, natural language processing, deterministic/ stochastic optimization.
  • Expert knowledge of a scientific computing language (such as R or Python)
  • Experience with manipulating complex data sources and very large-scale data. Familiarity with technical tools for data analysis - Python (with Pandas, etc.), R, SQL.
  • Experience with relational databases, distributed storage and computing tools (e.g. Hive, Spark)
  • Experience with few of the following tools:  Natural Language Processing and Image Recognition using Keras/TensorFlow Deep Learning library, Streaming analytics (using Spark), Machine Learning (scikit-learn, Spark, h2o etc.)
  • Experience with Data Visualization Tools (Tableau, Plotly, Bokeh etc.)

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