We are seeking a talented and driven Data Scientist/Machine Learning Engineer with a passion for developing models in the Climate space. The ideal candidate will have a strong background in machine learning, data science, and meteorology, with the ability to develop and deploy advanced predictive models to enhance prediction capabilities. You will work closely with a team of scientists, engineers, and data analysts to integrate data into robust, high-performance forecasting systems. The successful candidate will have a keen eye for detail, strong problem-solving skills, and the ability to work independently or as part of a team.
The main responsibilities will be:
- Design and implement machine learning models
- Analyze large datasets from various sources, including satellite, radar, and IoT sensors, to identify trends and patterns.
- Extract and refine relevant features from raw data to improve the performance of our prediction models.
- Deploy models into production environments and ensure their performance and scalability.
- Work closely with Engineers, scientists and data analysts to understand the domain-specific requirements and improve the forecasting models.
- Test and validate models using various statistical methods to ensure their reliability and accuracy.
- Monitor model performance and update them as needed based on new data and technological advancements.
Requirements:
- Bachelor’s degree in Computer Science, Data Science or a related field.
- Proficiency in machine learning frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn.
- Strong programming skills in Python, R, or a similar language.
- Experience with big data tools and platforms such as Hadoop, Spark, or similar.
- Knowledge of data preprocessing and feature engineering techniques.
- Domain Knowledge: Understanding of climate data principles and familiarity with., satellite imagery, radar data
- Strong analytical and problem-solving skills with the ability to interpret complex data sets.
- Experience in developing, validating, and deploying machine learning models, particularly for time series data.
- Familiarity with GIS Development Software and Maps such as GIS software, ArcGIS, OpemMaps, Leaflets or similar.
- Excellent verbal and written communication skills to effectively collaborate with team members and present findings.
- Experience with cloud platforms (AWS, Google Cloud, or Azure) and data visualization tools (Tableau, Power BI) is a plus.
About Delta40 Venture Studio
Beyond capital, our venture studio team provides hands on support, shared services and partnerships to our ventures and Founders to increase speed, returns and impact.
Together, we aim to deliver life-changing innovations to the last mile across Africa and to build a community of Founders go from idea to scale to exit.
Please apply on the official website using the link(s) below
