We are looking for a Data Scientist/Analyst for our technology team. You should be able to support and lead teams and liaise with co-workers such as software engineers and embedded/IoT software engineers.
About us
Netzence Sustainability Ghana Limited is a pioneering company dedicated to providing innovative solutions that promote sustainability and environmental stewardship in Ghana. Our mission is to empower individuals, businesses, and communities to adopt sustainable practices that drive social and economic growth by achieving Net Zero emissions. We strive to be leaders in the sustainability landscape through effective education, strategic partnerships, and impactful projects. If you are passionate about sustainability and is looking to make a difference, we invite you to join our team.
Requirements
- Proven experience as a Data Scientist/Analyst.
- Ability to gather and communicate results of complex analysis clearly and effectively to all levels.
- Strong data visualisation skills using tools like Tableau, Spotfire, Power BI etc.
- Experience in tech stack: SQL, Python, R, Tableau, Power BI, AWS Athena, etc.
- Experience in Product engagement evaluation and measurement of success. For example, running AB testing to analyse product effectiveness or using front end data to quantify the effectiveness of new features and how it changes user engagement.
- Experience in navigating data sets of varying complexity/ambiguity.
- Experience in conducting analysis to derive clear insights and actionable results.
- Expertise in predictive modelling, including both parametric (e.g. logit/probit) and non-parametric (e.g. random forest, neural net) techniques as well as wider ML techniques like clustering / random forest (desirable).
- Strong PowerPoint and presentation/communication skills
- Develop deep understanding of our product experiences and growth opportunities.
- Actively contribute to roadmap and goals for the technology team.
- Discover and articulate new product opportunities helping shape the team’s direction.
- Strong knowledge in supporting product experiments, launches, and growth through data-driven decision making.
Qualifications
- Degree in Computer Science, Software Engineering, Mathematics, or relevant field.
- Professional and Industry certifications are added advantages.
- 2+ years proven experience using Data Science and analytics.
