Director, Data Science, Data.FI

About the role

Palladium is a global consulting and implementation company working in partnership with governments, businesses, investors, and communities to design and deliver solutions that create lasting positive impact. We address some of the world’s most complex challenges across infrastructure, economic growth and natural capital, health, energy, climate and environment, and digital transformation—strengthening systems, institutions, and markets to support inclusive and sustainable development.

Responsibilities

• Provide technical input in the design, planning and delivery of data science projects
• Ensure quality of all phases of data science lifecycle, including feature generation, model training and testing, and deployment
• Communicate aspects of data science work to technical and non-technical audiences
• Represent Palladium to governments, donors and other stakeholders, providing thought leadership at international meetings, ministry-level events, technical working groups and communities of practice
• Formulate data science partnerships, collaborations and strategies, strengthening relationships for country ownership of projects
• Identify, build, and maintain relationships with partners and consultants who can provide technical expertise in health and other sectors of international development
• Mentor selected mid-level staff working in headquarters and field offices
• Develop work plans, including budgets and staffing plans, interfacing with clients and staff
• Maintain project documentation, including project schedules, architectural schemas, training materials
• Ensure project team follows best practices in coding, data storage, and version control
• Contribute to progress and financial reporting

Essential Criteria

• Professional experience in implementing data science projects including leading data science project teams, managing client engagement, and deploying solutions
• Experience with data science projects in low and middle income countries, including deploying solutions within host country information systems
• Expertise in programming with open-source statistical languages including Python and R required
• Project experience using the above tools for supervised and unsupervised machine learning, including regression analysis, classification, deep learning, cluster analysis, etc.
• Project experience with geospatial analytics and NLP is preferred
• Documented experience managing a diverse portfolio or work and ability to work in a dynamic and agile environment with changing requirements and priorities
• Excellent written and verbal communication skills
• Knowledge and experience applying the Principles for Digital Development