Optiven Group, a leader in real estate and property development, continues to shape the future by embracing data-driven strategies to accelerate growth and enhance service delivery. As part of its continuous commitment to innovation and operational excellence, Optiven is seeking a dynamic, analytical, and results-oriented professional to join its team as a Data Science Lead.
This is a prime opportunity for a visionary data expert looking to make a meaningful impact within a fast-growing, values-driven organization. The successful candidate will play a pivotal role in leading the group’s data science initiatives, delivering actionable insights, and promoting data integrity across departments.
Position: Data Science Lead
Reports To: Head of Finance
Department: Finance
Division: Finance, Legal & ICT
Location: ABSA Tower
Basic Salary: Open
Job Purpose
The Data Science Lead will be responsible for end-to-end management of data initiatives within Optiven, from data governance and strategy to advanced analytics and predictive modeling. The role will support cross-functional teams by transforming complex datasets into actionable intelligence that enhances operational decision-making and drives innovation.
Key Duties and Responsibilities
1. Data Strategy & Governance
- Develop and implement comprehensive data policies aligned with organizational goals and relevant legal/regulatory standards.
- Design scalable data frameworks to meet dynamic business requirements.
- Lead governance processes to ensure data accuracy, consistency, security, and accessibility.
- Supervise the development and maintenance of a robust data infrastructure for efficient information storage, retrieval, and usage.
- Review internal processes regularly and recommend improvements for data management.
2. Data Collection, Processing & Analysis
- Collect, clean, and process data from various systems, including ERP, CRM, HR records, financial systems, and customer platforms.
- Use advanced statistical modeling and machine learning algorithms to perform complex data analysis.
- Create predictive models that support strategic business forecasting and planning.
- Translate data into clear, digestible insights for departmental and organizational decision-making.
3. Data Visualization & Reporting
- Design and maintain real-time dashboards and visualizations to communicate data trends and performance.
- Analyze patterns and generate meaningful insights for stakeholders across all departments.
- Identify anomalies and conduct root-cause analysis to inform corrective strategies.
- Generate regular business intelligence reports detailing performance indicators and key trends.
4. Data Protection & Compliance
- Ensure data compliance with GDPR, ISO 27001, Kenya’s Data Protection Act (2019), and other applicable regulations.
- Implement role-based access controls and monitor data security risks.
- Conduct quarterly data audits and maintain high standards of data privacy.
- Lead staff training initiatives to foster awareness and compliance around data protection.
5. Customer & Market Analytics
- Segment customer data and analyze purchase behaviors and preferences.
- Develop retention analytics to track and reduce customer churn.
- Optimize digital marketing strategies through web and social media data insights.
- Deploy AI-based forecasting tools to support long-term planning.
- Conduct A/B testing to refine marketing and sales campaigns.
6. Innovation & Continuous Improvement
- Stay abreast of emerging technologies, tools, and best practices in data science.
- Introduce innovative solutions to enhance analytics, automation, and operational efficiency.
- Automate repetitive processes to reduce manual intervention and boost productivity.
- Recommend cutting-edge systems and tools to enhance data capabilities.
7. Team Leadership & Collaboration
- Lead and mentor the data science team, promoting professional growth and technical excellence.
- Assign tasks, set goals, and monitor project delivery timelines.
- Foster a culture of collaboration, innovation, and continuous learning.
8. Other Responsibilities
- Perform any other duties as may be assigned by management from time to time.
Qualification and Experience Requirements
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- Minimum of 3–5 years of experience in data science or analytics, with at least 1–2 years in a supervisory or leadership role.
- Certifications in data science, analytics, or data protection (e.g., Certified Data Management Professional, Certified Information Privacy Professional).
- Proficient in data analysis tools (Python, R), visualization software (Tableau, Power BI), and machine learning frameworks.
- In-depth understanding of big data technologies, AI applications, and predictive analytics.
Key Competencies
- Strong analytical and critical thinking skills.
- Ability to convert business problems into analytical models and solutions.
- Excellent communication and reporting skills tailored for both technical and non-technical audiences.
- Advanced knowledge of AI, data mining, and statistical techniques.
- Proven ability to work under pressure in a results-driven environment.
- Adaptability, innovation, and proactive decision-making.
- Strong collaboration and leadership capabilities.
Why Join Optiven?
- Innovative Culture: Be part of a visionary team leveraging data science to transform real estate and customer engagement.
- Growth Opportunities: Engage in continuous learning, mentorship, and career advancement.
- Impactful Work: Make data-informed decisions that directly impact strategic planning and organizational success.
- Dynamic Environment: Work with like-minded professionals in a fast-paced, tech-forward business ecosystem.
How to Apply
To be considered for this exciting opportunity, submit your application to:
[email protected]
Application Deadline: 15th April 2025
Shortlisting Process: Applications will be reviewed on a rolling basis. Early applications are encouraged.
Important Notes:
- No Application Fees: Optiven does not charge any fee at any stage of the recruitment process.
- Shortlisting: Only shortlisted candidates will be contacted due to high application volumes.
- Equal Opportunity: Optiven Group is an equal opportunity employer.
- Background Checks: By applying, you agree to background verification checks as necessary.
- Canvassing: Any form of canvassing will result in automatic disqualification.
