Data Scientist / Analyst at Netzence Sustainability Limited

Netzence Sustainability Limited is a sustainability technology and management company dedicated to combating climate change by making carbon emissions reduction accessible, actionable, and rewarding. We are committed to realizing the 2030 emission reduction target, the 2050 and 2060 Net Zero targets, and the United Nations’ Sustainable Development Goals (SDGs).

Founded on the principles of innovation, collaboration, and firm commitment to the planet, we are driven by a singular, transformative vision -to spearhead a sustainable transformation and contribute significantly to achieving critical global sustainability milestones.

We are recruiting to fill the position below:

Job Title: Data Scientist / Analyst

Location: Nigeria

Job Description

• 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.

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.

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.

Application Closing Date
Not Specified.

How to Apply
Interested and qualified candidates should:
Click here to apply online