Technology Product Specialist

1 week ago


Tucson, United States Eclipse Mining Technologies, LLC Full time
Job DescriptionJob DescriptionSalary:

This is a full-time position to be worked out of our Tucson, Arizona office.


Job Summary:

As a Technology Product Specialist focused on Modeling & Analytics, you will play a pivotal role in shaping the future of advanced modeling capabilities, integrating statistical, geospatial, and operational data with predictive, prescriptive, and cognitive analytics. This position requires both a deep technical understanding and a passion for product/system design, ensuring the seamless integration of sophisticated modeling techniques into user-centric product features. You will serve as the tech specialist, transforming intricate tech concepts into digestible and innovative product features.


Key Responsibilities:

  • Design and implement logical and physical data models while optimizing data structures and flow within an ontologically defined system.
  • Engage with cross-functional stakeholders to capture domain requirements and translate them into modeling needs.
  • Develop and optimize codes and scripts for interfacing with data models and databases.
  • Maintain a sharp focus on detail, ensuring the precision of product requirement documentation.
  • Communicate technical ideas effectively to both tech-savvy and non-technical audiences.

 

Minimum Qualifications:

  • Bachelor’s Degree in Statistics, Applied Mathematics, Computer Science, Information Systems, or a related field.
  • 3+ years of professional experience in data science, statistical/machine learning, and advanced analytics.
  • Proven expertise in developing predictive and prescriptive models on large datasets.
  • Proficiency in Python/SQL and familiar with data modeling tools.
  • Strong grasp of various database management systems, including relational, NoSQL, and columnar databases.
  • Familiarity with data warehousing, big data technologies (e.g., Hadoop, Spark), and ELT processes.
  • Exceptional problem-solving skills, analytical thinking, and attention to detail.
  • Ability to work with cross-functional teams, such as data scientists, product managers, and software developers.


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