Hitachi - Santa Clara, CA

posted 7 days ago

Full-time - Senior
Santa Clara, CA
Electrical Equipment, Appliance, and Component Manufacturing

About the position

As a Senior Data Scientist & Machine Learning Engineer at Hitachi Digital Services, you will play a pivotal role in driving data-driven solutions that facilitate strategic decision-making and large-scale digital transformation for our clients. This position requires a deep understanding of data analysis, statistical modeling, and machine learning, coupled with a passion for solving complex problems and generating actionable insights. You will collaborate closely with cross-functional teams and other Hitachi group companies to develop and implement innovative solutions that leverage data to enhance business outcomes. Your responsibilities will include collecting, analyzing, and interpreting data from multiple sources, ensuring the data is processed, cleaned, and validated effectively. You will utilize data mining and machine learning techniques to solve business problems, carrying out preprocessing of both structured and unstructured data. Your role will also involve detecting trends and patterns in data sets, improving data models through advanced analytics and deep learning capabilities, and enhancing data collection procedures to ensure all relevant information is captured for developing analytic systems. In addition, you will be responsible for developing prediction systems and machine learning algorithms that can be deployed in real-world applications. Your expertise will be crucial in transforming raw data into meaningful insights that drive business strategies and operational efficiencies. This position not only demands technical proficiency but also strong communication skills, as you will need to present complex information clearly and concisely to stakeholders across the organization.

Responsibilities

  • Collect, analyze, and interpret data from multiple data sources.
  • Process, clean, and validate data to ensure accuracy and reliability.
  • Utilize data mining and machine learning techniques to solve business problems.
  • Preprocess structured and unstructured data, detecting trends and patterns.
  • Improve data models using advanced analytics and deep learning capabilities.
  • Enhance data collection procedures to capture all relevant information for analytic systems.
  • Develop prediction systems and machine learning algorithms.

Requirements

  • 5+ years of professional work experience in data science and machine learning.
  • Proficiency in AI, machine learning, and HPC (High Performance Computing) technologies and tools.
  • Strong programming skills in Python, JavaScript, TensorFlow, PyTorch, Scikit-Learn, Qlikview, R Shiny.
  • Experience with Nvidia AI tools and technologies, such as CUDA or TensorRT.
  • Familiarity with data visualization tools (e.g., Tableau, Power BI, matplotlib).
  • Strong communication skills to present complex information clearly.
  • Ability to collaborate with Business and IT teams, acting as a key point of contact for stakeholders.

Benefits

  • Industry-leading benefits and support for holistic health and wellbeing.
  • Flexible work arrangements based on role and location.
  • Opportunities for professional development and career growth.
  • Participation in bonus/variable/commission pay programs.
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