Nigeria Job Openings
Palladium Group, Inc.
Data Scientist
October 14, 2024
Data Scientist
About Palladium:
Palladium is a global company working to design, develop and deliver positive impact on the lives and livelihoods of people around the globe; broaden access to health, water, power, and infrastructure; build enduring, sustainable, and transformative institutions and market systems to address global challenges; and conserve the natural world. We operate in over 90 countries and have a workforce of 3,000 talented, motivated, and diverse staff of all religions, races, languages, and gender identities.
Diversity, Equity & Inclusion - We welcome applications from all sections of society and actively encourage diversity to drive innovation, creativity, success and good practice. We positively welcome and seek to ensure we achieve diversity in our workforce; and that all job applicants and employees receive equal and fair treatment regardless of their background or personal characteristics. These include: (but are not limited to) socio-economic background, age, race, gender identity, religion, ethnicity, sexual orientation, disability, nationality, veteran, marital or Indigenous status.
Our company provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics.
Should you require any adjustments or accommodations to be made due to a disability or you are a neurodivergent individual or any other circumstance, please email our team at accessibility@thepalladiumgroup.com.
Safeguarding - We define Safeguarding as “the preventative action taken by Palladium to protect our people, clients and the communities we work with from harm”. We are committed to ensuring that all children and adults who come into contact with Palladium are treated with respect and are free from abuse. All successful candidates will be subject to an enhanced selection process including safeguarding-focused interviews and a rigorous due diligence process.
You and Your Career:
If you are a problem-solver, collaborator, and doer, and you have a passion for improving lives, we are interested in hearing from you. We are a learning organization and provide growth opportunities from the start. We pride ourselves on giving you the freedom, resources, and guidance to chart a fulfilling career!
Project Overview
Data.FI is a multi-year global project funded by the U.S. Agency for International Development (USAID) to support the host countries’ HIV and COVID-19 responses and the US Government’s Global Health Security Agenda (GHSA) initiatives. Data.FI partners with programs to accelerate and sustain access to high-quality data to expedite HIV and COVID-19 epidemic control and maintenance. By improving global, regional, national, and community/local in-depth analyses of HIV and COVID-19 epidemiologic and programmatic data, Data.FI expedites program achievements to improve client services and attain and sustain control of the epidemics. The project supports host country governments to enhance existing health information systems (HIS), informing management responses to gaps in programming and sustaining impact by supporting local partner transition. Data.FI also plays a key role in USAID's goals of helping partner countries on their journey to self-reliance and transitioning local organizations to prime recipients of US Government funding.
Data.FI project activities commenced project implementation in Nigeria in 2019 and over the years, the project has enhanced the data analytics systems with interoperability across internal and external digital health platforms, and data use activities such as investments in situation room methodology through capacity building of leadership at both the federal level and State Ministries of Health (SMOHs). In FY25 (October 2024 – September 2025), Data.FI is received additional funding from USAID and being tasked to support the Federal Ministry of Health’s National Tuberculosis (TB), Leprosy, and Buruli Ulcer Control Programme (NTBLCP) and selected State TB and Leprosy Control Programmes (STBLCPs) through strengthening data management systems to promote data use, strengthen monitoring and evaluation (M&E) capacity through mentoring, and support the operationalization of existing TB Situation Rooms (TBSRs) at the national and state levels.
Data.FI will leverage on project past experiences to collaborate with the NTBLCP, STBLCPs and other TB stakeholders to build on existing gains and strengthen data use to enhance data-driven decision-making and learning among stakeholders. This activity will foster a collaborative platform for knowledge sharing, capacity building, and collective problem-solving. The expected outcomes would include improved data literacy, enhanced data quality, increased collaboration, and better-informed policies.
Purpose of Position:
Palladium is seeking skilled Data Scientist to work with the data analytics, and health informatics team in Data.FI responsible for the design and development of various technology products that support health and social services. The incumbent will work in collaboration with the health informatics, and data analytics and use team to design and execute data science projects. He/she will primarily support HIV/AIDS and TB focused data and analytics projects. Envisioned activities relate to population and patient health using supervised and unsupervised machine learning and other data science tools. Applications leverage deidentified patient data, aggregate health reporting data, survey data, and geospatial data, among others. Experience with health applications, particularly using sparse and/or poor-quality data and data related to developing countries, is preferred. Projects will result in outputs ranging from reports and analyses to deployed models generating information for decision makers in real time.
The Data Scientist will report to the Senior Manager Data Analytics and Use, and work closely with Business Analytics, Health Informatics and Public Health Surveillance Teams. This is full-time position with a contract for 1 year, renewable subject to availability of funding.
Location: Abuja, Nigeria. The position will entail approximately 10-15% local travel.
Primary Duties and Responsibilities:
Required Qualifications:
Professional Expertise/Competencies Preferred:
About Palladium:
Palladium is a global company working to design, develop and deliver positive impact on the lives and livelihoods of people around the globe; broaden access to health, water, power, and infrastructure; build enduring, sustainable, and transformative institutions and market systems to address global challenges; and conserve the natural world. We operate in over 90 countries and have a workforce of 3,000 talented, motivated, and diverse staff of all religions, races, languages, and gender identities.
Diversity, Equity & Inclusion - We welcome applications from all sections of society and actively encourage diversity to drive innovation, creativity, success and good practice. We positively welcome and seek to ensure we achieve diversity in our workforce; and that all job applicants and employees receive equal and fair treatment regardless of their background or personal characteristics. These include: (but are not limited to) socio-economic background, age, race, gender identity, religion, ethnicity, sexual orientation, disability, nationality, veteran, marital or Indigenous status.
Our company provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics.
Should you require any adjustments or accommodations to be made due to a disability or you are a neurodivergent individual or any other circumstance, please email our team at accessibility@thepalladiumgroup.com.
Safeguarding - We define Safeguarding as “the preventative action taken by Palladium to protect our people, clients and the communities we work with from harm”. We are committed to ensuring that all children and adults who come into contact with Palladium are treated with respect and are free from abuse. All successful candidates will be subject to an enhanced selection process including safeguarding-focused interviews and a rigorous due diligence process.
You and Your Career:
If you are a problem-solver, collaborator, and doer, and you have a passion for improving lives, we are interested in hearing from you. We are a learning organization and provide growth opportunities from the start. We pride ourselves on giving you the freedom, resources, and guidance to chart a fulfilling career!
Project Overview
Data.FI is a multi-year global project funded by the U.S. Agency for International Development (USAID) to support the host countries’ HIV and COVID-19 responses and the US Government’s Global Health Security Agenda (GHSA) initiatives. Data.FI partners with programs to accelerate and sustain access to high-quality data to expedite HIV and COVID-19 epidemic control and maintenance. By improving global, regional, national, and community/local in-depth analyses of HIV and COVID-19 epidemiologic and programmatic data, Data.FI expedites program achievements to improve client services and attain and sustain control of the epidemics. The project supports host country governments to enhance existing health information systems (HIS), informing management responses to gaps in programming and sustaining impact by supporting local partner transition. Data.FI also plays a key role in USAID's goals of helping partner countries on their journey to self-reliance and transitioning local organizations to prime recipients of US Government funding.
Data.FI project activities commenced project implementation in Nigeria in 2019 and over the years, the project has enhanced the data analytics systems with interoperability across internal and external digital health platforms, and data use activities such as investments in situation room methodology through capacity building of leadership at both the federal level and State Ministries of Health (SMOHs). In FY25 (October 2024 – September 2025), Data.FI is received additional funding from USAID and being tasked to support the Federal Ministry of Health’s National Tuberculosis (TB), Leprosy, and Buruli Ulcer Control Programme (NTBLCP) and selected State TB and Leprosy Control Programmes (STBLCPs) through strengthening data management systems to promote data use, strengthen monitoring and evaluation (M&E) capacity through mentoring, and support the operationalization of existing TB Situation Rooms (TBSRs) at the national and state levels.
Data.FI will leverage on project past experiences to collaborate with the NTBLCP, STBLCPs and other TB stakeholders to build on existing gains and strengthen data use to enhance data-driven decision-making and learning among stakeholders. This activity will foster a collaborative platform for knowledge sharing, capacity building, and collective problem-solving. The expected outcomes would include improved data literacy, enhanced data quality, increased collaboration, and better-informed policies.
Purpose of Position:
Palladium is seeking skilled Data Scientist to work with the data analytics, and health informatics team in Data.FI responsible for the design and development of various technology products that support health and social services. The incumbent will work in collaboration with the health informatics, and data analytics and use team to design and execute data science projects. He/she will primarily support HIV/AIDS and TB focused data and analytics projects. Envisioned activities relate to population and patient health using supervised and unsupervised machine learning and other data science tools. Applications leverage deidentified patient data, aggregate health reporting data, survey data, and geospatial data, among others. Experience with health applications, particularly using sparse and/or poor-quality data and data related to developing countries, is preferred. Projects will result in outputs ranging from reports and analyses to deployed models generating information for decision makers in real time.
The Data Scientist will report to the Senior Manager Data Analytics and Use, and work closely with Business Analytics, Health Informatics and Public Health Surveillance Teams. This is full-time position with a contract for 1 year, renewable subject to availability of funding.
Location: Abuja, Nigeria. The position will entail approximately 10-15% local travel.
Primary Duties and Responsibilities:
- Lead data cleaning, including identification of data quality issues (such as missing or mislabelled data or extreme values) and identifying and executing cleaning steps
- Lead in the design, develop, and deploy scalable machine learning models and architectures.
- Collaborate with cross-functional teams to integrate ML solutions into existing systems.
- Develop and maintain large-scale datasets for model training and testing.
- Collaborate with data analytic team in Implementing data preprocessing, feature engineering, and data visualization techniques of ML products.
- Train, test, and deploy models using various ML frameworks (e.g., Tensor Flow, Py Torch).
- Ensure model reliability, scalability, and maintainability.
- Monitor model performance and retrain as necessary.
- Work closely with cross functional team (data analysts, dev Ops engineers, and business analyst) to identify opportunities for ML applications.
- Lead the communication of complex technical concepts to non-technical stakeholders.
- Conduct periodic code reviews and ensure high-quality code on ML/AI activities.
Required Qualifications:
- A degree in Computer Science, , Mathematics, Statistics, or related field
- An advanced degree in Computer Science, Data Science, Machine Learning or related field will be an added advantage.
- Minimum 5 years of hands-on experience in machine learning/artificial intelligence, with a strong track record of delivering scalable and reliable ML/AI solutions.
- Proficiency in Python, R, Java, C++
- Expertise in ML frameworks: Tensor Flow, Py Torch, Keras
- Familiarity with data preprocessing, feature engineering, and data visualization
- Good understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, regression, classification, and clustering.
- Good understanding of statistical concepts and methods such as hypothesis testing, regression analysis, probability distributions, and Bayesian inference.
- Knowledge of database management systems and query languages (e.g., SQL)
- Experience with cloud platforms (e.g., AWS, GCP, Azure)
- Familiarity with containerization (e.g., Docker)
- Excellent written and verbal communication skills.
- Ability to work in a dynamic and agile environment with changing requirements and priorities.
- Knowledge and experience applying the Principles for Digital Development.
- Demonstrated ability to work effectively with team members and clients of different cultures, gender, and hierarchical levels.
Professional Expertise/Competencies Preferred:
- Detail-oriented and deadline-driven with strong organizational skills
- Highly self-motivated and able to work independently as well as in team settings
- Strong communication and interpersonal skills
- Expertise in visualizing and manipulating big datasets
- Ability to select hardware to run an ML model with the required latency
- Demonstrated ability to work effectively as a member of a fast-moving and multicultural team while maintaining a client-centered focus
- Familiarity with a wide range of machine learning algorithms including supervised learning (e.g., linear regression, decision trees, random forests, SVMs), unsupervised learning (e.g., clustering, dimensionality reduction), and deep learning (e.g., neural networks, CNNs, RNNs)
- Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas
- Experience with large language model(LLM), Generative AI, deep learning, and prompt engineering.
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