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Applied Scientist

Applied Scientist

Specright Inc.Cairo, ot, EGY
26 days ago
Job type
  • Quick Apply
Job description

Job Title : Applied Scientist

Job Summary :

Specright is seeking a highly motivated and skilled Applied Scientist to join our Shared Services team. In this role, you will apply scientific and analytical expertise to solve real-world business challenges, leveraging deep knowledge in data science, algorithms, and system design. You will work cross-functionally with Engineering and Product Management teams to develop and implement data-driven solutions that scale across our cloud-based platform.

Specright offers cloud-based software (SaaS) for specification data management to Enterprise and Mid-Market companies with complex needs. Whether it's packaging, formulas, or products, Specright helps companies reduce costs and drive efficiencies by enabling the sharing, analysis, and auditing of specification data.

Responsibilities and Duties

  • Research and evaluate emerging AI / ML tools and methodologies to assess their applicability and value within Specright's SaaS platform.
  • Translate academic research and industry trends into innovative, real-world solutions that address key business and customer challenges.
  • Design, implement, and optimize models, algorithms, and simulations to enhance performance across supply chain and specification management workflows.
  • Analyze large, complex datasets to uncover patterns, generate actionable insights, and produce intuitive visualizations that drive strategic decisions.
  • Collaborate closely with cross-functional teams-including Product and Engineering-to integrate scientific solutions into scalable production systems.
  • Write clean, maintainable, and efficient code to operationalize models and algorithms within Specright's cloud infrastructure.
  • Measure and communicate the business impact of scientific solutions to inform prioritization, product strategy, and stakeholder alignment.

Qualifications

  • Bachelor's degree in Computer Science, Machine Learning, Data Science, or a related field
  • Demonstrated ability to translate academic research and emerging AI / ML techniques into real-world, production-ready solutions
  • Hands-on experience developing and deploying scalable machine learning models
  • Proficient in working with large, complex datasets to extract insights and drive decision-making
  • Proficiency in Python (or similar languages), with experience using modern AI / ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
  • Strong analytical and problem-solving skills, with a track record of delivering creative and practical solutions
  • Effective communicator and collaborative team player, comfortable working across technical and non-technical stakeholders
  • Preferred Qualifications

  • Master's or Ph.D degree in Computer Science, Machine Learning, Data Science, or a related field
  • Experience with developing, deploying, and maintaining AI / ML models in cloud-based environments such as AWS
  • Experience working with LLMs
  • About Specright

    Specright is the first purpose-built, patented platform for Specification Management. Whether it's

    packaging, raw materials, formulas, products, or machines, Specright helps companies digitize, map, and take action across their supply chain to reduce costs, increase profitability, and drive sustainability. Specright serves customers across industries, including packaging, food and beverage, consumer packaged goods, pharmaceutical, retail, industrials, and more. Recognized as a leader in Specification Management, Specright was named to the Deloitte Fast Technology 500 list in 2024, one of Fast Company's Most Innovative Companies for 2023, had three executives honored as Supply & Demand Chain Executive Pros to Know in 2023 and won Food Logistics' 2022 Top Software & Technology Provider award. For more information, visit : .

    Location

    Cairo, Egypt.

    Culture

    We are an energetic company with an entrepreneurial, informal, versatile, intelligent, and fast-paced culture. We promote an open and relatively flat organization with an emphasis on collaboration, sharing ideas and information. It's more important to innovate, then worry about making mistakes.

    Perks

  • Competitive salaries
  • Flexible work hours
  • Full benefits package that includes Medical, Vision, and Dental
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