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Day 124
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Nairobi, Nairobi County, Kenya
Open 4 months, first seen by us 124 days agoWork setup in the employer’s posting: RemoteFrom the employer’s posting
Employment type in the employer’s posting: ContractFrom the employer’s posting
Frame business problems as data science problems
Extract, clean and transform data for analysis, modelling and reporting
Implement and deploy analytics and machine learning models across the product stack
Turn product feature requirements into experiments and report the results
Frame business requirements and objectives as succinct data science problems.
Extraction, cleaning and transformation of relevant data for different Integrated Customer Experience Problems for analysis, modelling and reporting.
Implement and deploy robust, state-of-the-art analytics and machine learning models across the Ajua Product Stack
Work with product teams to translate product feature requirements and use cases into experiments, and lead with the design, development, analysis and reporting of results
3+ years industry or academic experience in data science and machine learning.
Bachelors/Masters in Computer Science, Statistics, Applied Mathematics, or Engineering.
Highly Fluent in Python and SQL
Proficient with Python data science libraries (numpy, scipy, spacy, etc.)
End to end Statistics and probability understanding and rigour.
Open 4 monthsWe first saw this posting 124 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 124
Up longer than most. Similar jobs usually come down between day 7 and day 55.
From 9,988 similar postings that came down. Coming down is not always a hire.
1 open job
Hiring recordAdd your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Bachelors/Masters in Computer Science, Statistics, Applied Mathematics, or Engineering. - Highly Fluent in Python and SQL - Proficient with Python data science libraries (numpy, scipy, spacy, etc.)
- Highly Fluent in Python and SQL - Proficient with Python data science libraries (numpy, scipy, spacy, etc.) - Basic understanding of R (The team works using both Python and R)
- Proficient with Python data science libraries (numpy, scipy, spacy, etc.) - Basic understanding of R (The team works using both Python and R) - End to end Statistics and probability understanding and rigour.
- Natural Language Processing experience a huge plus. - Familiarity with deep learning frameworks - Tensorflow, PyTorch, etc. - A record of published patents and/or peer-reviewed conference/journal publications will be considered a big plus. (Contribution of new knowledge/implementation of new knowledge in innovative ways through any of the above ways, is a key requirement.)
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We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Ajua is a Silicon Valley backed start-up and Africa’s first Integrated Customer Experience (#IntergratedCX) company driving business growth and giving consumers options on the continent.
The Data Science team is responsible for ensuring that the Ajua products are best in class in not only solving our customers' problems but propelling them into the future by understanding their customers better than they ever have. We are looking for a Senior Data Scientist who will build, deploy and monitor analytics and machine learning capabilities into the Ajua products while ensuring scientific rigour and statistical methods to the many challenges of Integrated Customer Experience Product creation and improvement.
Key Responsibilities:
Frame business requirements and objectives as succinct data science problems.
Extraction, cleaning and transformation of relevant data for different Integrated Customer Experience Problems for analysis, modelling and reporting.
Implement and deploy robust, state-of-the-art analytics and machine learning models across the Ajua Product Stack, directly impacting merchants and enterprise customers.
Work with product teams to translate product feature requirements and use cases into experiments, and lead with the design, development, analysis and reporting of results, leading to decisions that directly impact customers.
Actively pursue improving data science skills, including but not limited to problem-solving, writing readable/testable/efficient code, mastering Integrated Customer Experience Data, and learning to anticipate Customer and Data related product issues and needs - always staying ahead of the customer.
Actively participate in internal Data Science and broader technology project reviews and participate in community meet-ups.
Collaboratively work with the engineering, products, and customer success teams and communicate clearly and effectively regardless of seniority.
3+ years industry or academic experience in data science and machine learning.
Bachelors/Masters in Computer Science, Statistics, Applied Mathematics, or Engineering.
Highly Fluent in Python and SQL
Proficient with Python data science libraries (numpy, scipy, spacy, etc.)
Basic understanding of R (The team works using both Python and R)
End to end Statistics and probability understanding and rigour.
Clear, and demonstratable/explainable comprehension of the fundamentals of learning algorithms.
Natural Language Processing experience a huge plus.
Familiarity with deep learning frameworks - Tensorflow, PyTorch, etc.
A record of published patents and/or peer-reviewed conference/journal publications will be considered a big plus. (Contribution of new knowledge/implementation of new knowledge in innovative ways through any of the above ways, is a key requirement.)
Ability to continuously review machine learning publications and scientific development, pick out what can be implemented and experiment to drive Ajua's innovation.
Experience working on a team or in a group academic setting and demonstrated ability to collaborate well across teams
Ability to anticipate how contributions can affect larger Data product delivery, developing risk mitigation and contingency plans
Demonstrated excellent communication skills with technical and non-technical teammates and a high level of emotional and professional maturity.
Ability to work seamlessly with Engineering, product and the Data Team to ensures Data-driven products launch smoothly and customer needs are met.
Ability to Monitor the outcomes of the team’s actions to learn from mistakes and replicate successes.
A connection to Ajua’s mission and values
Working Conditions:
Building impactful products at Ajua that shape businesses and consumers in Africa and the world at large
Great and fun work environment; you get an opportunity to work with brilliant minds at Ajua
Competitive salary.
Growth stage startup grind! Working in a dynamic startup environment
Competitive salary and benefits
To be a #HumanOfAjua
You will embody the following values:
FUN - We work hard, play hard.
INNOVATION - We continuously improve and try new things
INTEGRITY - We Deliver on Our Promises
TRUST - We Do the Right thing when No One is Watching
COMMUNICATION - We Communicate with Intent
OWNERSHIP - We Own our Work because We Want to!
Ajua is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status
Ajua is The Integrated Customer Experience Solution for Businesses in Africa.
We exist to bridge the gap between businesses and their customers. Ajua’s technology integrates with businesses at the points that matter most to their customers to measure and optimize their Customer Experience. Our plug and play platform has enabled leading brands of various sizes and industries on the continent to create actionable strategies that drive business growth.
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Nairobi, Nairobi County, Kenya
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