JOB TITLE: Data Scientist
JOB LOCATION: Lagos, NG
Job Type: Full-Time
Category: Engineering
JOB DETAILS
- In achieving our goal of making wealth management accessible to Africans, we work with a lot of data from different sources.
- We are looking for a Data Scientist who will make these data fit together like a jigsaw puzzle.
- You will help us analyze large amounts of raw information to find patterns and use them to optimize our performance.
- You will build data products to extract valuable business insights, analyze trends, and help us make better decisions.
- We are looking for someone passionate about answering tough questions with data.
Responsibilities
You will fit in if you can:
- Build robust data models, reports, and visualizations to support the business
- Create predictive models and be familiar with various machine-learning algorithms
- Identify the needs of the business and product teams, and come up with appropriate data-driven solutions.
- Identify the required data needed and work with the engineering team to ensure such data is collected and available to produce relevant business insights.
- Work with the product teams to create new products and features based on derived insights from data.
- You would have an additional advantage if:
- You have previous experience in deploying machine learning models to production
- You have in-depth knowledge about the finance/fin-tech space.
Requirements
You must have:
- Bachelor’s Degree in Computer Science, Data Science, Statistics, Applied Math, Operations Research, or a related field
- 2+ years of experience working as a Data Scientist and carrying out data analytics.
- Experience involving using quantitative data analysis to solve real-world problems.
- Skill and experience in extracting insights from data and communicating such insights to both technical and non-technical stakeholders.
- Strong communication and presentation skills.
- A solid grounding in SQL and Python.
- Enjoy exploring data, building and evaluating machine learning models
- Excellent collaborative skills and enjoy working with a diverse group of people to solve problems
- Experience with open-source data science/machine learning, analytics tools, libraries, and frameworks like Scikit learn, Numpy, Pandas, Matplotlib, Scipy, Tensorflow, etc.
Benefits
If selected, you would have access to:
- Earn in the top 10% of industry benchmark
- Working with some of the smartest and creative engineers
- 21 days paid leave and 13th-month salary
- Fully-funded all-round health insurance
- 12% employer’s pension contribution
- An exciting opportunity to network vertically and horizontally with different businesses across the diverse sectors we interact with
- Free lunch, data allowance, and other additional benefits.
Application Closing Date
Not Specified.
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Job Features
Job Category | Data Management |