Senior Data Scientist
Stantec
AWSAzureCloudETLGoogle Cloud PlatformPythonPyTorchScikit-LearnSparkSQLTableauTensorflow
Data Scientist
Imagine Worldwide
full-time
Posted on:
Origin: • 🦁 Anywhere in Africa
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
AWSAzureBigQueryCloudDjangoFlaskGoogle Cloud PlatformPandasPythonPyTorchScikit-LearnSQLTableauTensorflow
About the role
- Design, test, and scale tablet-based learning analytics to improve literacy and numeracy outcomes for children.
- Derive and communicate actionable insights from program data to inform product and operational decisions.
- Collaborate closely with Programs, Product Management, and Research to ensure data integrity and support analytics needs.
- Contribute to the organization’s analytics strategy and identify high‑impact use cases for data science.
- Act as subject matter expert on analytical methodologies and advise cross‑functional teams on best practices.
- Mentor and guide other analysts on data science methods and career development.
- Work with data engineering to define data requirements, perform EDA, data cleaning, and feature engineering.
- Ensure data quality through validation, profiling, and documentation of sources and transformations.
- Conduct advanced statistical analyses and develop, validate, and deploy predictive and prescriptive models.
- Design and analyse A/B tests and other experimental frameworks to measure impact and inform product decisions.
- Build dashboards and interactive reports (Metabase, Tableau, or similar) and translate complex results for technical and non‑technical audiences.
- Monitor key metrics and model health in production, alerting teams to anomalies or drift.
Requirements
- Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field.
- Minimum of 5 years in data science, analytics, or related roles.
- Strong developer or programming background or willingness to transition into analytics/data science.
- Proficiency in Python (pandas, scikit-learn, statsmodels, Flask/Django) or R for data manipulation, analysis, and modeling.
- Strong SQL skills for querying and aggregating large datasets; familiarity with performance optimisation techniques and schema design principles.
- Experience with machine learning frameworks (TensorFlow, PyTorch) and deployment considerations for production environments.
- Familiarity with cloud platforms (AWS, Azure, GCP) and data warehousing solutions (Snowflake, ClickHouse, BigQuery) is a plus.
- Competence in data visualisation libraries (matplotlib, ggplot2) and BI tools (Metabase, Tableau, Looker).
- Understanding of experimental design, A/B testing, and causal inference methods.
- Demonstrated ability to frame ambiguous problems, develop hypotheses, and deliver data‑driven solutions.
- Proven ability to conduct root cause analysis for data anomalies and inconsistencies, working closely with cross-functional teams.
- Strong verbal and written communication skills; experience presenting to senior leadership.
- Proven track record translating technical analyses into clear business insights and strategic recommendations.
- Collaborative mindset and ability to influence cross‑functional teams without direct authority.
- Passion for Imagine’s mission and commitment to equity in educational access and outcomes.
- Must be based on the African continent; preference for countries where Imagine operates.
- Regional travel to field sites required at least every second month, or up to once a month.
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