Jobs · Information Technology · Maryland

Sr. Research Project Coordinator II (Environmental Health & Engineering)

The Johns Hopkins University · Baltimore, MD · 3 mo ago
Information TechnologyFull-time

About the role

The role involves managing a team of researchers and overseeing projects related to advanced data analytics and machine learning applications.

Responsibilities

  • Oversee a team of data scientists and analysts in developing predictive models and algorithms.
  • Collaborate with cross-functional teams to integrate data-driven insights into business strategies.
  • Lead initiatives in implementing new data analysis tools and technologies.
  • Conduct regular performance evaluations and provide career development guidance to team members.

Requirements

  • Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
  • Minimum 5 years of experience in data science or related fields.
  • Proven track record of successful project management and leadership.
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Strong analytical and problem-solving skills.
  • Excellent communication and interpersonal skills.
  • Qualifications

    • Advanced degree in a relevant field preferred.
    • Experience with big data technologies like Hadoop, Spark, or similar.
    • Knowledge of data visualization tools such as Tableau or Power BI.
    • Experience with cloud platforms such as AWS, Azure, or Google Cloud.

    Skills

    • Data analysis and modeling.
    • Machine learning and deep learning.
    • Big data processing and management.
    • Cloud computing and infrastructure.
    • Project management and leadership.

    Benefits

    Our organization offers comprehensive benefits including health, life, and well-being programs, tuition assistance, career development opportunities, and work-life support.

    Pay

    The starting salary range for this position is $80,000 - $120,000 annually, commensurate with experience.

    Schedule

    This role is full-time and requires a standard 40-hour workweek.

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