Technical Business Analyst - Machine Learning (Saudi Arabia) at Eram Talent #vacancy #remote

Eram Talent is currently seeking a Technical Business Analyst with expertise in Machine Learning to join our team in Saudi Arabia. As a Technical Business Analyst, you will work closely with stakeholders to understand their business needs and translate them into technical requirements for machine learning projects. You will collaborate with data scientists and software developers to design and implement machine learning solutions that drive business value.

We are looking for a highly analytical and detail-oriented individual who is passionate about leveraging machine learning technologies to solve complex business problems. This is a unique opportunity to be part of a dynamic team and contribute to cutting-edge projects in the field of machine learning.

If selected, the job location would be onsite in Saudi Arabia.

Job Description

  • Work with customers to identify IR4.0 related opportunities for leveraging data to drive upstream business solutions
  • Analyze data from various data sources to drive optimization and improvement Evaluate the effectiveness and accuracy of new data sources and data gathering techniques
  • Develop Machine Learning and AI models to optimize users experiences and improve business processes
  • Develop custom data models and algorithms to address drilling challenges
  • Coordinate with different functional teams to integrate developed models with other systems
  • Develop processes and tools to monitor and analyze model performance

Requirements

  • Bachelor’s degree in Computer Science, Data Science, or a related field
  • Minimum of 6 years of experience as a Business Analyst, preferably in machine learning or data science projects
  • Manage and execute large projects from start to finish including data gathering and manipulation, modeling, problem solving, and communication of insights and recommendations
  • Extensive practical experience in several of the following areas: statistics, machine learning, deep learning, NLP, recommendation systems, dialogue systems, and information retrieval.
  • Leverage big data to explore and introduce areas of analytics and identify opportunities to impact the business
  • Experience with advanced data management and data manipulation skills, including a strong foundation in relational databases programming such as Oracle, MS-SQL and non-SQL databases
  • Experience with data scripting languages (e.g SQL, Python, R etc.)
  • Experience utilizing visualization tools such as Spotfire and PowerBI

Natural language processing (NLP) statistics Data Science Python Computer Science R Big data deep-learning spotfire SQL Machine Learning RDBMS Power BI

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