Sr. HR Coordinator (DOM General Admin Chairmans Office)
The Johns Hopkins University · Baltimore, MD · 2 mo ago
Human ResourcesFull-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 the development and implementation of complex data models and algorithms.
- Collaborate with cross-functional teams to integrate data solutions into existing systems.
- Lead project teams in the execution of research initiatives and ensure timely delivery of results.
- Conduct regular performance evaluations and provide feedback to team members.
- Stay updated on industry trends and best practices in data science and machine learning.
Requirements
- Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field.
- Minimum 5 years of experience in data science, machine learning, or a similar field.
- Proven track record of successful project management and leadership.
- Experience with Python, R, and/or SQL.
- Strong understanding of statistical analysis and machine learning techniques.
- Excellent communication and interpersonal skills.
- Ability to lead and mentor a team of data scientists.
- Experience with big data technologies such as Hadoop, Spark, or similar.
- Knowledge of cloud platforms like AWS, Azure, or Google Cloud.
- Experience with data visualization tools such as Tableau or PowerBI.
- Data modeling and algorithm development.
- Project management and team leadership.
- Statistical analysis and machine learning.
- Cloud computing and big data technologies.
- Data visualization and reporting.
- Competitive compensation package including base salary and performance bonuses.
- Inclusive benefits program that includes health, life, and wellness programs.
- Tuition assistance for employees and their dependents.
- Career development opportunities and learning resources.
Qualifications
Skills
Benefits
Pay
Salary range: $80,000 - $120,000 annually.
Schedule
Full-time position with flexible working hours.