Data Scientist/Analyst at Amref Kenya

• Company:
• Location: Kenya
• State:
• Job type: Full-Time
• Job category:

• Lead in the development of an HSS Data Management and information use blueprint and Implementation Plan with representation of all the four strategic pillars within the HSS directorate
• Continuously reviewing and improving data management processes, analytical methodologies, and reporting mechanisms to enhance the efficiency and effectiveness of program management with the Directorate
• Contribute to the development and implementation of performance monitoring frameworks to track and assess the effectiveness of health system strengthening programs within the Health Systems Strengthening Directorate
• Contribute to the Directorate's evidence-based work planning and budgeting efforts
• Lead in the review and adaptation of essential data-related policies, Minimum operating Standards (MoSs), and Standard Operating Procedures (SoPs)

• Maintain the data for Health System Strengthening Directorate:

• Maintain the data dashboards of the HSS data
• Develop data collection systems, data analytics and other strategies that optimize statistical efficiency and quality ensuring the database is updated as per schedule.
• Acquire data from primary or secondary data sources and maintain the data, identify, analyze, and interpret trends or patterns in complex data sets.
• Work with management to prioritize business and information needs of the HSS directorate.
• Locate and define new data process improvement opportunities while providing technical support in data collection, compilation and quality control.
• Regularly review, analyze and evaluate business and user needs and experience to improve the design, development and implementation of the database.
• Collect and analyze feedback from users to assess the quality, relevance and usefulness of the portal and the data in particular.
• Work with Amref's IT team in capturing bugs and any technical issues in the issue tracker and follow up with the developers.
• Provide database liaison support:

• Serve as the data focal point for HSS In order to consolidate and communicate information regarding data updates and other developments.
• Work closely with Amref's IT team to coordinate the database and data requirements.
• Communicate regularly with IT team to provide updates on database maintenance, support, and other relevant issues.
• Develop custom data visualizations and dashboards:

• Produce customized data visualizations to support HSS data and impact stories.
• Create custom dashboards and interactive data features.
• In collaboration with Amref's M & E department Develop and manage the data dashboards for HSS to support Health Financing, Reproductive Maternal Child and Adolescent Health [RMNCAH], Primary Health Care (PHC), and Social Determinants of Health (SDoH)
• Support data hub web development and content:

• Build custom sub web pages on the HSS data and work with the IT team in updating web content as required,

• Conduct comprehensive analysis of health-related data to identify trends, patterns, and insights that can inform programmatic decisions and strategies within the HSS directorate and Amref in general.
• Utilize statistical modeling and forecasting techniques to predict future health system needs, resource allocation, and potential outcomes of program interventions.
• Contribute to the design and implementation of rigorous evaluation studies to assess the impact and effectiveness of health system strengthening initiatives. This involves developing evaluation frameworks, coordinating data collection and analysis, and reporting findings.
• Ensure the accuracy, completeness, and reliability of data by implementing data quality assurance processes, data cleaning techniques, and validation checks.
• Staying updated with the latest advancements in health system strengthening and data science, exploring innovative approaches, and contributing to research publications and conferences.
• Ensuring compliance with data governance policies and privacy regulations, such as HIPAA, GDPR, and applicable local laws, to protect sensitive health data.
• Develop and maintain data pipelines for efficient data extraction, transformation, and loading (ETL) processes.
• Create visually appealing and informative data visualizations to effectivel communicate complex information to technical and non-technical stakeholders. This includes building interactive dashboards, charts, and graphs to support decisionmaking
• Guide HSS directorate staffs and Amref country offices on the utilization of emerging evidence generated from data extraction and analysis.

• Support proposal development to secure funding and business for HSS directorate and Amref Health Africa at large

• Collaborating with cross-functional teams, including healthcare professionals, donors, policymakers, and program managers, to understand their data needs and provide insights that support evidence-based decision-making.
• Provide technical support and training to Amref's staff on data-related tools, methodologies, and best practices and promoting a data-driven culture.
• Work with Amref's COs and directorates in building a data utilization for decision making COP
• Undertake related duties as required.

• Master's in Data Science and a data science certification.
• Master’s in Mathematics, Statistics, Computer Science, actuarial science, or a related field and a data science certification.
• PhD is an added advantage

• Minimum five (5) years of experience in technical knowledge of managing and making sense of data to enhance decision-making, and drive programmatic impact
• Programming Skills - knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage.
• Statistics - Good applied statistical skills, including knowledge of statistical tests,
• distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies.
• Machine Learning - good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests.
• Strong Math Skills (Multivariable Calculus and Linear Algebra) – understanding the fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques.
• Data Wrangling - proficiency in handling imperfections in data is an important aspect of a data scientist job description.
• Experience with Data Visualization Tools like matplotlib, ggplot, d3.js., Tableau that help to visually encode data
• Strong analytical skills and problem-solving skills in extracting insights from complex datasets, identify patterns and make data-driven decisions
• Familiarity with the healthcare industry, especially in relation to health systems strengthening is highly desirable
• Excellent written and verbal communication skills with ability to present complex information to both technical and non-technical stakeholders.
• Good understanding of ethical considerations related to data privacy, security, and data confidentiality. This includes familiarity with relevant regulations such as General Data Protection Regulation (GDPR) is highly desirable
• Strong interpersonal and capacity-building skills, including training, mentoring, and coaching skills.
• Technically sound in DEIB-focused approaches
• Demonstrate ability to build networks and with various stakeholders
• Fluency in French would be an additional advantage.

• Up to date and accurate data dashboards.
• Maintained and updated country fact sheets
• Effective communication with IT directorate and related departments.
• Quality data visualizations are produced based on up-to-date design and technology.
• Custom pages are built using modular templates and modifications are made as needed.
• Custom dashboards are built and maintained to support specific data initiatives.

• This role attracts competitive benefits commensurate with experience

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