About KOKO Networks
KOKO Networks is a venture-backed climate-tech company with 1,700+ employees across East Africa, India, and the United Kingdom. Our mission is to imagine and deliver technology that improves life in the world’s fastest growing cities. We offer a fast-paced and highly collaborative work environment with significant opportunities for professional growth. Our core lines of business currently include: (1) KOKO Fuel, an ultra-clean liquid bioethanol cooking fuel solution delivered via a network of smart fuel ATMs and leveraging existing downstream liquid fuels infrastructure; (2) KOKO Climate, which retails the emissions reductions that occur from switching households from deforestation-based charcoal to KOKO Fuel; and (3) KOKO Retail, a tech-enabled, direct-to-consumer, instant fulfillment retail platform operated in partnership with neighborhood retailers. In 2021, KOKO was selected as the world’s leading emerging markets climate technology solution by FT/IFC.
Your Role
As Data Science Manager, you will be expected to bring a strong culture of algorithmic problem-solving and statistical modeling into KOKO’s business decisions across all functions and countries.
What You Will Do
- Responsible for building the roadmap for Data Science projects for KOKO with conceptualization, planning and execution of high impact priorities
- Responsible for building analytical systems, algorithms and predictive models, as well as experimenting with new models and techniques
- Ensure that data projects align with organizational goals
- Teach, lead, and counsel colleagues on new techniques and data-based solutions
- Collaborate with data and software engineers to enable deployment of sciences and technologies that will scale across the company’s ecosystem
- Responsible for overseeing teams of data scientists, data specialists and interns with scale-up
What You Will Bring to KOKO
- Master's degree in Computer Science, Operations Research, Econometrics, Statistics or related technical field
- 6 to 8 years of experience solving analytical problems using quantitative approaches
- Experience communicating quantitative analysis results, especially to business stakeholders
- Experience in managing, mentoring and coaching small teams
Technical skills expected in the role - must have
- Programming: Python (Preferred) / R
- Proficiency in relational databases and SQL querying
- Proficiency in working with Excel / Google Sheets (knowledge of data read & write connectors)
- Deep understanding and experience with implementing of ML models in at least some of the techniques from each of the following buckets:
Regression: Linear, Logistic, Multinomial, Mixed effect
Classification: Bagging & Boosting (Random Forest), Decision tree, SVM
Clustering: K-Means, hierarchical, DB-Scan
Time series: ARIMA, SARIMA, ARIMAX, Holt-Winters, Multi TS (VAR), UCM
Neural Networks: RNN, CNN, (Deep learning), Naive Bayes
- Dimensionality Reduction: PCA, SVD, etc.
- Optimization Techniques: Linear programming, Gradient Descent, Genetic Algorithm
- Cloud: Understanding of Azure / AWS offerings, Setting up ML pipeline in cloud
Technical skills expected in the role - nice to have
- Visualization: Domo / Tableau / Power BI / Looker / QlikView
- Data Management: HDFS, Spark, Advanced Excel
- Agile Tools: Azure DevOps, JIRA
- Development experience with PysparkBig Data/Hive Database
- IDE: Pycharm
KOKO is committed to gender and racial diversity in the workplace. We encourage candidates of all backgrounds to apply!
