Data Scientist - Mason, United States - Haag-Streit USA

    Haag-Streit USA
    Haag-Streit USA Mason, United States

    1 month ago

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    Description

    Job DescriptionJob Description

    For over 160 years, Haag-Streit has been a leading provider of medical equipment for ophthalmologists, optometrists, and opticians. Our experience is the foundation for developing, designing, and producing unparalleled medical instruments and equipment. From slit lamps to surgical microscopes, digital imaging to procedure chairs, we set the standard for precision mechanics and innovative technology. Haag-Streit USA, headquartered in Mason, Ohio is the USA manufacturing, distribution, sales, engineering and service operating facility for the Haag Streit and Reliance Medical lines of products.

    The advantages of working at Haag Streit USA:

    • Global Leader - Haag-Streit has been a leading provider of medical equipment for ophthalmologists, optometrists, and opticians for over 160 years.
    • Strong sense of purpose – Our employees take pride in producing products that serve medical markets worldwide. Our high-quality exam and procedure chairs, surgical stools, instrument delivery systems, treatment cabinets set the standard for reliability and precision.
    • Stability and innovation - Established over 160 years ago, Haag Streit and Reliance Medical Products experience is the foundation for developing, designing, and producing unparalleled medical instruments and equipment.

    What will you get in return?

    • Excellent benefits package that starts on the first day of the month after you are hired
      • Employee high deductible medical plan free to employees, no monthly premium
      • Employee vision coverage free to employees, no monthly premium
      • Additional plans and coverage tiers available at highly competitive rates
      • Basic life insurance and Short-Term disability provided at no cost to employees
      • Additional benefits including Dental, Critical Illness, Long Term Disability
    • PTO, Vacation, 12 Paid Company Holidays
    • Best in class 401(k) with company match and profit sharing, up to 8% employer contribution

    POSITION PURPOSE / SUMMARY:

    We are seeking a skilled and versatile professional to join our team in the role of Data Scientist and ERP Business Analyst. This role combines the expertise of a data scientist with the responsibility of overseeing and optimizing our Enterprise Resource Planning (ERP) system in strong coordination with the Group IT. The ideal candidate will have a strong background in data science, statistical analysis, and machine learning, coupled with hands-on experience in managing business processes (Offer to Cash -OTC) within the ERP systems. The candidate will concentrate on enhancing Haag-Streit's US region's capacity to foster a culture of data-driven decision-making, promoting widespread access to data, implementing best practices in data management, and transforming the data practice to incorporate predictive analytics.

    KEY RESPONSIBILITIES:

    • Utilize advanced statistical techniques and machine learning algorithms to analyze large datasets and derive actionable insights (preferred with Microsoft standard tools.)
    • Develop predictive models and algorithms to enhance decision-making processes.
    • Lead the administration of requirements, and continuous improvement of the local ERP/IT systems in strong coordination with the Group IT to meet organizational needs as local project manager.
    • Collaborate with cross-functional teams to ensure seamless integration with business processes.
    • Enforce the Haag-Streit Group data governance policies to ensure accuracy, consistency, and security of data within the ERP system.
    • Define and maintain data quality standards in collaboration with stakeholders.
    • Design and create reports, dashboards, and visualizations to present key performance indicators and trends.
    • Ensure stakeholders have access to real-time, accurate, and meaningful data.
    • Manage and coordinate ERP system upgrades, patches, and maintenance activities as determined by the Group IT.
    • Troubleshoot and resolve technical issues "first level support" related to the ERP system.
    • Provide training to Key users on effective use of the ERP system.
    • Serve as a point of contact for user support, addressing issues and ensuring smooth system operation.
    • Ensure security measures to protect sensitive data within the ERP system.
    • Ensure compliance with relevant data protection and privacy regulations.
    • Stay abreast of industry trends, emerging technologies, and best practices in data science and ERP systems.
    • Identify and help resolving data quality issues.
    • Ensures quality of master data and develop and document processes to support and maintain data integrity.
    • Conduct system testing, integration testing, and user acceptance testing to ensure successful implementation of process improvements.
    • Design and implement process automation of existing and new operating models that will achieve growth and productivity.

    SKILLS AND QUALIFICATIONS:

    • Bachelor's or higher degree in Data Science, Computer Science, Information Systems, or a related field.
    • Proven experience in data science, statistical analysis, and machine learning.
    • Hands-on experience with ERP systems in a manufacturing environment (Microsoft Dynamics preferred).
    • Strong programming skills (e.g., Python, R) and proficiency in data manipulation and analysis tools.
    • Excellent problem-solving skills and attention to detail.
    • Effective communication skills to convey complex technical concepts to non-technical stakeholders.
    • Experience with fit gap analysis, process improvement and end user training.
    • Project management skills and the ability to lead cross-functional teams.

    Haag Streit USA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, genetic information, disability or protected veteran status.

    If you are unable to apply online due to a disability, contact recruiting at -streit-