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Junior Data scientist at

4 months ago

Nairobi, Nairobi Area, Kenya UjuziKilimo Full time

We know that timely and accurate information on fertilizers, seeds, weather, crop management and markets, is the turning point of rural agricultural production.

Rural smallholders account for over 70% of the food produced in Africa. With the expected population increase of over 2 billion by 2050, world population will be in great food demand. Small holder Farmers are at the centre stage to bringing the new agricultural revolution in africa. We know that this revolution has to start with data.

About The Position
We are seeking a highly motivated and detail-oriented Data scientist to join our team. The ideal candidate will possess strong analytical skills and the ability to transform data into actionable insights.

This role requires a combination of technical proficiency, business acumen, and communication skills to help drive informed decision-making across the organization, clients and partners.

You will apply data science methodologies to solve complex problems and create predictive models.

Key Responsibilities:
Collect, clean, and preprocess data from various sources to ensure data integrity and accuracy.

Serve as lead data strategist to identify and integrate new datasets that can be leveraged through UjuziKilimo product capabilities, and work closely with the engineering team in the development of data products.

Execute analytical experiments to help solve problems across various domains and the agriculture sector verticals.
Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables
Devise and utilize algorithms and models to mine big-data stores; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy
Analyze data for trends and patterns, and interpret data with clear objectives in mind
Implement analytical models in production by collaborating with software developers and engineers
Perform exploratory data analysis to uncover trends, patterns, and insights.
Develop and maintain dashboards and reports to visualize key metrics and business performance.
Conduct hypothesis testing, A/B testing, and other statistical analyses to support business strategies.
Identify opportunities for process improvement and recommend data-driven solutions.
Communicate findings and insights effectively to both technical and non-technical stakeholders through presentations, reports, and visualizations.
Stay current with industry trends, best practices, and emerging technologies in data analytics.

Qualifications:
Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field.
Proven experience in Data science or a similar role.
Proficiency in data science tools and programming languages such as SQL, Python, or R.
Experience with data visualization tools such as Tableau, Power BI, or similar.
Strong problem-solving skills and attention to detail.
Excellent communication skills, with the ability to convey complex data insights to non-technical audiences.
Knowledge of statistical methods and data modeling.
Ability to work independently and manage multiple tasks in a fast-paced environment.
Knowledge of machine learning techniques and their applications in business.
Experience with big data technologies such as Hadoop, Spark, or similar