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Data Scientist - Nairobi - Jasiri
2 months ago
Description
Company DescriptionWe are a digital talent solutions company enabling leading startups and enterprises in the United States to augment their R&D teams with top-tier technology talent in Africa.
We pride ourselves on delivering exceptional technical expertise and fostering long-term partnerships with both our clients and engineers. We are headquartered in Atlanta, GA, USA, with a local subsidiary in Nairobi, Kenya.Role Description
We're seeking highly skilled and experienced Data Scientists based in Kenya to join our talent network for future client projects.
As part of our staff augmentation model, you'll have the opportunity to work remotely with different US clients, while being supported by our dedicated team.
The ideal candidate will possess a strong blend of statistical knowledge, programming skills, and business acumen to solve complex problems and drive measurable business impact through machine learning and advanced statistical modeling.
Key ResponsibilitiesModeling:
Design, develop, train, and evaluate predictive and prescriptive models using advanced machine learning algorithms (e.g., regression, classification, clustering, deep learning).
Problem Solving:
Collaborate with product, marketing, and operations teams to identify key business questions and translate them into quantifiable data science problems.
Data Analysis:
Conduct exploratory data analysis (EDA), statistical testing, and A/B test analysis to uncover trends, patterns, and causal relationships.
Deployment:
Work with Data Engineers to productionize, deploy, and monitor machine learning models in a cloud environment (MLOps).
Storytelling:
Communicate complex analytical findings and model results clearly and persuasively to technical and non-technical stakeholders through visualizations and presentations.
Research:
Stay up-to-date with the latest research and technologies in machine learning and artificial intelligence
Qualifications
Experience: 3+ years of experience as a Data Scientist or in a similar role.
Statistics & Math:
Strong foundational knowledge in statistics, probability, linear algebra, and experimental design.
Programming:
High proficiency in Python (including libraries like Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) and R, and strong SQL skills.
Machine Learning:
Hands-on experience with various machine learning techniques for real-world applications.
Tools:
Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
Communication:
Excellent verbal and written communication skills with the ability to explain technical concepts to business audiences.
Education:
Bachelor's or Master's in a quantitative field such as Data Science, Statistics, Computer Science, or Mathematics.
What We Offer
You will be working alongside US clients' teams, so candidates MUST be able to work at least 4 hours in US time zones.
A working laptop and fast internet connection are also required.Show more Show less
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