Manager, Data Science - Pune, India / Nairobi, Kenya

Key Skills

Microsoft-Excel, Python Programming, Database, Operations, SQL, Agile methodologies, DevOps, Azure, AWS, PowerBI, Big Data Technology, Machine learning techniques, Data science techniques, Looker, Tableau, Apache Hive, HDFS, R Programming, Algorithms, PySpark, SPARK Programming, Google sheets, PyCharm, Effective communication skills

Job Description

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!