Data ScientistCowrywise

About this Position

• 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.