Job Description
Position: Data Science Manager
Company: SAP
Location: Huye, Rwanda
Experience: 5 years
Education: Bachelor’s degree
Employment Type: Full-time
Industry: Technology
Department: Data Science
Vacancies: 1
Company Overview
SAP is a global leader in enterprise software and software-related services. Our innovative solutions help organizations of all sizes and industries run better and more sustainably.
At SAP, we believe that data science is a key driver of business success. Our data science team is responsible for developing and implementing advanced analytics solutions that help our customers make better decisions and drive business outcomes.
Job Overview
We are seeking a highly skilled and experienced Data Science Manager to lead our data science team in Rwanda. The successful candidate will be responsible for developing and implementing data science strategies that drive business outcomes, leading a team of data scientists, and collaborating with cross-functional teams to deliver data-driven solutions.
Visit our website to learn more about our company and our products.
Key Responsibilities
- Develop and implement data science strategies that drive business outcomes
- Lead a team of data scientists and provide guidance and mentorship to team members
- Collaborate with cross-functional teams to deliver data-driven solutions
- Develop and maintain relationships with key stakeholders, including customers and partners
- Stay up-to-date with industry trends and emerging technologies in data science
Required Skills
- Master’s degree in Computer Science, Statistics, or related field
- 5+ years of experience in data science, with a focus on machine learning and predictive analytics
- Proven experience leading a team of data scientists
- Strong programming skills in languages such as Python, R, or SQL
- Experience with data visualization tools such as Tableau or Power BI
Education
Bachelor’s degree in Computer Science, Statistics, or related field
Experience
5 years of experience in data science, with a focus on machine learning and predictive analytics
Benefits
- Competitive salary and benefits package
- Opportunities for career growth and professional development
- Collaborative and dynamic work environment
- Access to cutting-edge technologies and tools
Training
We offer comprehensive training and development programs to help our employees develop new skills and advance their careers.
Working Environment
We offer a collaborative and dynamic work environment that is conducive to innovation and creativity.
Application Process
To apply for this position, please submit your resume and cover letter to our website.
Visit our website to learn more about our company culture and values.
Equal Opportunity Statement
We are an equal opportunity employer and welcome applications from diverse candidates.
Visit our website to learn more about our commitment to diversity and inclusion.