Job Description
Position:Data Scientist
Company:University of Dar es Salaam
Location:Mbeya, Tanzania
Experience:8-12 years
Education:PhD in Data Science or related field
Employment Type:Full-time
Industry:Education
Department:Research and Development
Salary:8,000,000 – 12,000,000 SSP per annum
Vacancies:1
Company Overview
The University of Dar es Salaam is a public research university located in Dar es Salaam, Tanzania. It is one of the largest and most prestigious universities in the country, with a strong focus on research and innovation.
The university has a long history of excellence in education and research, dating back to its founding in 1961. Today, it is a leading institution in Tanzania and the region, with a strong reputation for academic excellence and research impact.
The university is committed to providing high-quality education and research opportunities to students and staff, and to contributing to the economic and social development of Tanzania and the region.
Job Overview
We are seeking a highly skilled and experienced Data Scientist to join our Research and Development team. The successful candidate will be responsible for leading and managing data science projects, developing and implementing data-driven solutions, and collaborating with colleagues across the university to advance our research and innovation agenda.
The Data Scientist will work closely with our faculty and staff to design and implement data-driven solutions to complex problems, and to develop and maintain data analytics tools and platforms. They will also be responsible for mentoring and supervising junior staff and students, and for contributing to the development of our data science curriculum.
The ideal candidate will have a strong background in data science, machine learning, and statistics, and will have experience working with large datasets and complex data systems. They will also have excellent communication and collaboration skills, and will be able to work effectively with colleagues across the university.
Key Responsibilities
- Lead and manage data science projects, including designing and implementing data-driven solutions, and collaborating with colleagues across the university.
- Develop and implement data analytics tools and platforms, including data visualization and machine learning algorithms.
- Mentor and supervise junior staff and students, and contribute to the development of our data science curriculum.
- Collaborate with faculty and staff to advance our research and innovation agenda, and to develop and implement data-driven solutions to complex problems.
Required Skills
- PhD in Data Science or related field.
- 8-12 years of experience in data science, machine learning, and statistics.
- Strong background in data analysis, data visualization, and machine learning algorithms.
- Excellent communication and collaboration skills.
- Ability to work effectively with colleagues across the university.
Education
PhD in Data Science or related field from a reputable university.
Experience
8-12 years of experience in data science, machine learning, and statistics, with a strong background in data analysis, data visualization, and machine learning algorithms.
Salary
8,000,000 – 12,000,000 SSP per annum.
Benefits
- Competitive salary and benefits package.
- Opportunities for professional development and growth.
- Collaborative and dynamic work environment.
Training
- Opportunities for training and professional development.
- Access to cutting-edge data science tools and platforms.
- Collaboration with colleagues across the university.
Working Environment
The university is committed to providing a safe and inclusive work environment, with a strong focus on diversity, equity, and inclusion.
Application Process
To apply, please submit your application, including your CV, cover letter, and contact information for three professional references, to the address below.
University of Dar es Salaam
Human Resources Department
P.O. Box 35092
Dar es Salaam, Tanzania
Equal Opportunity Statement
The University of Dar es Salaam is an equal opportunity employer, committed to diversity, equity, and inclusion. We welcome applications from qualified candidates from all backgrounds, and are committed to creating a work environment that is inclusive and respectful of all employees.
Visit our website for more information about the university and this position.