Jobs Kenya

Website: Website www.idinsight.org

  • Senior Specialist East & Southern Africa Operations Manager /Senior Manager

    Senior Specialist East & Southern Africa Operations Manager /Senior Manager

    A Senior Specialist in East and Southern Africa Operations will have the opportunity to contribute to the running and growth of an ambitious organization in the social sector. The Senior Specialist, East and Southern Africa Operations will report to the Manager, East and Southern Africa Operations, and work closely with the Operations team and will execute the following:

    Organizational Development Systems: Critically examine and optimize systems that govern how we work, from internal organizational development to our operational processes and systems. These systems include staffing, recruiting, immigration, onboarding and offboarding, people operations, regional policy, safety and security, compliance, and operations strategy.
    Office Admin: Oversee the Nairobi office administration. This includes office management, logistics, immigration support, vendor management, office budget and expenses, team benefits (such as health insurance), and other support that improves team effectiveness.
    Policies & Systems: Make IDinsight the best place to work in international development. Specific work streams and systems include recruiting, onboarding, offboarding, performance management, HR systems, alumni engagement, and policies.
    Executive Support: Provide executive support to the team with multiple tasks such as scheduling meetings, drafting communication, editing documentation, conducting research, etc.
    Culture: Maintain a culture of mastery, autonomy, and purpose. This includes driving our global culture and values, reviewing and maintaining benefits, team-building activities and budgets, and executing employee surveys and improvements to the way we work.

    Qualifications
    Must-Have Qualifications

    Relevant people operations, human resources, or international development roles. Previous experience in the development/policy sector or consulting firm is an advantage, but not limiting if not available. 2-4 years experience for the Senior Specialist
    Detail and execution-oriented, able to take a complex task from a high-level strategic idea to rapid execution with a large amount of autonomy and conscientiousness;
    Demonstrated track record as a self-starter and leader, including comfort with ambiguity and dynamic environments and work streams;
    Strong communicator in multiple aspects (written communications, public speaking, teamwork and upward management);
    People-focused and people-facing, with high levels of empathy and desire to listen to and share in teammates’ victories, concerns, and needs;
    Strong ability to maintain integrity and confidentiality in complex situations; demonstrated ability to handle sensitive information, data, and issues with mature and discreet professionalism;
    Enthusiasm and track record working effectively with cross-cultural and diverse teams;
    Strong desire for professional growth and development, with a track record of openness to give and receive feedback;
    Strong values aligned with IDinsight’s stated values

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    Use the link(s) below to apply on company website.  

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  • Statistician

    Statistician

    About the RED Team

    ​​The RED Team is the nerve center behind IDinsight’s mission to conduct high-quality, technically accurate, rigorous, ethical, and transparent work. RED Team members are the sectoral specialists and methodological experts on client engagements. And it takes the lead on some of the most technically complex client engagements, such as the data science, data engineering and monitoring systems work. It is responsible for setting the technical standards and producing and maintaining the technical resources of the organization, while ensuring the technical professional development of all IDinsight staff.

    About the DoD Team

    Data on Demand (DoD) intends to amplify social sector impact worldwide by making accurate data on hard-to-reach, low-income populations an order of magnitude faster and cheaper. DoD works via:
    Networks of hyper-local surveyors that execute data collection tasks near their homes
    Representative, mobile-enabled household panels for rapid phone surveys
    Custom software to efficiently manage  productivity of remote staff and data quality
    DoD can currently provide  representative data for 140 million people in India and we are rapidly expanding within and beyond India.

    About the Statistician’s role

    The Statistician will support a large portfolio, across diverse geographies, sectors, and methodologies. The Statistician will primarily work on the design and analysis of  representative sample surveys, working closely with IDinsight’s DoD team, but will have an opportunity to contribute to causal analysis (“impact evaluation”) and data science initiatives. 
    The Statistician will think critically about how to optimize  methodological rigor given our clients’ time, operational, political and budget constraints. The ideal candidate should love having many different types of problems thrown at them, be able to quickly digest and understand the program and evidence objectives, and provide advice and guidance on how best to proceed.
    The Statistician will be an important member of IDinsight’s Research Evaluation and Data (RED) Team. The RED Team is responsible for ensuring that the services we provide to clients are statistically and methodologically sound. In collaboration with the RED Team lead and personnel, the Researcher’s role will include, the following activities:
    Designing and implementing representative sample surveys and other related activities for IDinsight clients in collaboration with project teams. The Statistician will play a key  role along with our client teams in designing and implementing studies for IDinsight clients, including in-person household surveys, secondary analysis of administrative data sets  (like IHDS), strengthening data quality controls , remote surveys, complex estimation techniques (e.g. multiple frames, hierarchical modelling, etc.), and incorporating  recent developments in data science in primary survey design and analysis. ,.
    Ensuring technical rigor of project deliverables. The Statistician will support project teams in drafting and refining technical documents, which include research designs, pre-analysis plans, sample size calculations, data collection instruments, technical reports, and other documents. The Statistician will also be a crucial resource to the country office where he or she is stationed by providing technical expertise on short-term issues that confront project teams.
    Contribute to technical innovations: The  Statistician will work with project teams and external collaborators to contribute to innovation efforts in sampling design (ex: GIS based, prediction approaches to sampling theory), data quality (ex:  machine learning to predict data quality issues), embedded experiments for survey methodology, and analytical techniques (ex: Small area estimation, Bayesian modelling and inference), and other related topics.
    Working with culturally and geographically diverse project teams. The Statistician will work with project teams that can be spread across the globe, from different nationalities and cultures.
    Supporting the technical professional development of staff. The Statistician will prepare and lead training sessions on technical topics (such as sampling design, statistical inference) on a regular basis. He or she will also provide individualised support to staff on their technical professional development.
    Publishing IDinsight studies in academic and policy journals. The Statistician will have the opportunity to co-author publications in academic and policy journals to showcase results from IDinsight studies, based on IDinsight’s client needs and the Statistician’s interest.
    Develop new projects and services. The Statistician will have the opportunity to develop new projects and client relationships in accordance with IDinsight’s values of client-focused and decision-focused research.
    The Statistician will be expected to fulfill these responsibilities and others with professionalism and on strict deadlines. He or she will also be expected to propose, design and implement new initiatives for supporting project teams and increasing the technical rigor of IDinsight’s work.

    Qualifications

    Deeply passionate about social, economic, and environmental policies and programs, and social impact
    Advanced degree in statistics, demographics, population studies, survey methodology, economics, econometrics, political science, public policy, public health, sociology, anthropology or other applied fields.
    Outstanding quantitative and critical thinking skills
    Self-starter who will thrive in a start-up setting by taking ownership and initiative
    Intellectual curiosity and sense of humor
    3+ years of relevant work experience preferred, including designing and managing research programs, quantitative analysis, field research, and managerial experience in a developing country
    Significant experience with either Stata or R required. Experience with additional programming languages a plus
    Prior work authorization in one of the position locations 
    Deep contextual knowledge and experience in the regions where IDinsight works
    Candidates interested in the Senegal or Rabat office should ideally be fluent in French.

    Apply via :

    alcareers-idinsight.icims.com

  • Financial Planning and Analysis Manager

    Financial Planning and Analysis Manager

    About the Financial Planning & Analysis, Manager role

    The FPnA Manager will support IDinsight with project and regional budgeting, forecasting, value-added analysis and insightful financial reporting.
    This position will report to the Finance Director and will work with the Deputy CFO and other finance colleagues in New Delhi.

    Responsibilities
    Project level

    Oversee the monthly process of updating the monthly budget vs. actual reports and sharing project-level analysis and key takeaways with each project team on a monthly basis. This will include holding calls on a quarterly basis, or more frequently, as warranted
    Suggest and implement improvements to the monthly project reporting tools and process
    Develop and maintain dashboard to be used globally for evaluation of all projects, share meaningful insights with the regions and follow-up on the action plan agreed.
    Give input into policies and guidelines for project reporting, charging, and evaluation, and ongoing forecasting
    Work deeply with teams to update pipeline and contract opportunities in the datahub, ensuring the annual revenue is correct
    Prepare ad hoc reports for project teams and funders with inputs from Finance Director

    Regional level

    Provide BVA analysis, commentary, and other analysis to leads of revenue-generating units on monthly dashboards
    Assist regional teams in updating project pipeline with revenue projections.
    Work with region to interpret utilization tracker and identify key takeaways for regions and for project managers
    Create project profitability analysis across the portfolio
    Prepare and update regional cash forecast for each regional office and as an input into global reporting
    Helping the regions understand which opportunities are self-funded and analyze the related utilization
    Prepare presentations for leadership of revenue-generating units and create additional value-added financial reporting and tracking
    Prepare routine reporting on contribution revenue, restrictions and receivables. Work in sync with the accounting team to ensure accurate reporting on contribution revenue and restrictions.
    Update specific sections in quarterly Board Excel Package, including project pipeline and dashboard

    ERP Transition

    Lead the reporting from the newly implemented ERP from the Project Life cycle perspective
    Work with regional and internal finance and accounts team to ensure accuracy, completeness and appropriateness of data from a reporting perspective
    Work with systems analysts and ERP consultants to ensure reporting requirements are correctly built out in the ERP
    Train internal project teams on extracting and drawing meaningful analysis from reports in the new ERP
    Document processes and SOPs for FPnA and prepare budget and revenue recognition guidelines based on the new system

    Project and Regional Budgeting & Forecasting

    Guide the Senior Associates to support project teams with tools, analysis and guidance in areas such as project budget preparation, contract negotiations, and billing rate analysis
    Review project budgets after first level review by the Senior Associates – FPnA
    Support the revenue-generating units in annual budget and forecasting processes. This may include coordinating budget processes and supporting leadership in creating their budget. It may also include coordinating the project pipeline and staffing forecasts, and cash forecasting.

    Revenue and Receivables

    Create infrastructure to ensure correct billing of, and accrual for, all client revenues
    Ensure collection of all outstanding accounts receivable (external and intercompany) alongside the AR team
    Support Accounting team in preparing monthly, quarterly and annual reporting, and reconcile to management reporting and dashboards

    Other

    Manage ERP system maintenance from Project life cycle perspective along with System administrator, including setting up new projects and team members
    Act as backup for other finance functions
    Support other global financial and related tasks as and when required
    Lead or support other workstreams in finance as needed, which may include areas such as oversight of cash forecasting and investment management, Finance operations, Compliance related functions, and Treasury
    Review revenue recognition for client projects and ensure the amount recorded reflects the progress towards completion of the projects.
    Coordinate with Legal and Operations on matters of governance, compliance, and organization policy.
    Support the monthly closing and annual audit processes as necessary.
    Coordinate across all finance functions and with other Global support functions and regions, on projects and processes that span across the organization.

    Qualifications

    5+ years of work experience in finance, with varied experience that covers all or most of the following: Financial Planning including budgeting and forecasting, Financial Reporting and Dashboards, Accounting in a multi-entity environment, Internal Controls, and Treasury
    Significant leadership experience in the finance function
    Experience in the social sector and a project-based environment both highly desirable
    Bachelor’s degree in Accounting, Finance, or other relevant areas required. Master’s degree in related areas is helpful but not required.
    Professional accounting qualification – CPA/ACA/ACCA part II or equivalent, preferred.

    Skills and attributes:

    Strong leadership skills
    Thrives in fast-paced environments and is excited by opportunities to explore and implement new ideas
    Proactive attitude with bias to action
    Excellent communication skills
    Strong project management and change management skills
    Ability to work effectively across cross-functional teams located across many countries

    Apply via :

    alcareers-idinsight.icims.com

  • Product Manager I/II

    Product Manager I/II

    About the Role

    We are seeking candidates with a background in engineering, data science, product & research with some prior experience in a product management role. The ideal candidate should be passionate about solving difficult social problems. 

    The Expectations From a Successful Candidate For This Role Are:

    Proficient in roadmap management, capturing and prioritizing diverse inputs to drive impactful projects.
    An ability to deeply understand customer needs and problems.
    Skilled in sprint planning and scoping solutions to their smallest coherent state for early delivery.
    Collaborative leader with a track record of effectively managing stakeholders and leading cross-functional teams.
    Excellent communication skills, capable of clearly articulating product decisions and rationale.
    Proficient in leveraging qualitative insights and quantitative data for informed decision-making.
    Experience in user research, A/B testing, and collaboration with researchers and analysts.

    Qualifications
    Technical qualifications:

    Bachelor’s degree.
    3-5 years of experience working with technology to support our software development capabilities.
    Experience working with software development teams.
    Experience using agile principles and tools.
    Understanding of the software development lifecycle and related concepts such as version control, testing, and continuous integration/deployment.
    Ability to communicate technical concepts to both technical and non-technical audiences.

    Required Qualifications:

    Proven ability to work alone and with teams in a dynamic, multicultural environment.
    Passion for improving lives through evidence-informed policy.
    Outstanding interpersonal and leadership skills.
    Strong oral and written communication skills in English. Fluency in languages spoken in countries where IDinsight works is a plus, particularly Hindi or French.
    Strong values aligned with IDinsight’s stated values.
    Ability and interest in sharing knowledge, mentoring others, presenting work, and reviewing the work of others.
    Deeply passionate about global development and improving lives in disadvantaged populations.
    Open-minded self-starter who will thrive while tackling new, unusual, and unpredictable challenges.

    Preferred Qualifications:
    The Most Competitive Applicants Will Also Have Experience in One or More of The Following:

    Advanced degree, preferably in Computer Science, Engineering, Business, Public Policy, or Economics.
    Previous experience in Product development/management. You have supported the shipping of at least one product that has delivered meaningful results.
    Writing clean code in a production setting.
    Writing user- and developer-facing documentation for software projects.
    Familiarity with software systems architecture.
    Managing cloud infrastructure using a hosting service like AWS, GCP, or Azure.
    Familiarity with user research methodologies.
    Strong project management skills include translating user requirements into actionable user stories.

    References:N.B. To prevent important email correspondence from going directly into your SPAM folder, thereby missing important application updates, please ensure that you whitelist redteamcareers@idinsight.org

    Apply via :

    redteamcareers@idinsight.orgI

    alcareers-idinsight.icims.com

  • Data Scientist II/III

    Data Scientist II/III

    We are working to build IDinsight into a global leader in the use of machine learning to solve some of the world’s most urgent problems.
    You’ll be joining a growing data science team and working on highly impactful and innovative projects with our partners. You’ll be joining an entrepreneurial team where you have a strong voice in how the team functions and grows. You’ll get to work on the full spectrum of the data science solution – from design to deployment. To be effective, data science products need to be contextually relevant and build on subject-matter expertise. You will get to work closely with our partners, our team of economists, social sector experts, and public health specialists to build and test solutions.
    Learning is a key part of being a data scientist. 10% of your time would be dedicated to learning new skills and side projects of your choice. You’ll have strong mentorship to guide your data science career, and you’ll make interesting and valuable connections.

    About the Role

    We are seeking candidates with strong data science skills and a passion for building solutions to difficult social problems. Most importantly, successful candidates should possess the ability to work independently to solve complex challenges related to both human and technological.

    As a senior data scientist, you’ll also be across multiple projects and bring technical expertise to the team. In addition to the tasks above, you’ll be:

    Working with clients to understand their needs: Understanding their current processes and pain points and identifying which of these can be framed as a tractable data science problem.
    Providing technical oversight on multiple projects.
    Designing, testing, and improving various algorithms: From OOTB sci-kit-learn algorithms to bespoke ones.
    Writing articles and blog posts to share our work for technical and non-technical audiences.
    Synthesizing, visualizing, and communicating results: Dashboards, plots, interactive viz, presentations, and reports
    Writing test cases, setting up CI/CD, and deploying solutions using cloud resources.
    Ensuring business problems are framed correctly: Not everything is a data science problem, and a senior data scientist would have the expertise to make this judgment.
    Ensuring appropriate methods are being used to tackle the problem: Having a broad knowledge of methods would allow a senior data scientist to pick the one best suited for the task.
    Establishing standards and best practices: The senior data scientist will bring experience in writing quality code and project management best practices.
    Doing code reviews: Every piece of code we write should be reviewed. Senior data scientists would often be a reviewer and also establish best practices for reviews.
    Provide mentorship to junior data scientists.
    Provide expertise in one or more of the following:
    Deep-learning: image classification/segmentation, sequence models
    Optimization under constraints: linear programming, evolutionary algorithms
    NLP: sentiment analysis, text summarization
    Other: performance tracking, online learning, contextual bandits, survival analysis

    Required Technical Qualifications

    Intermediate to advanced Python skills. Please do not apply if you are not an expert in standard data science packages in Python (numpy, pandas, scikit learn, etc.).
    Hands-on experience building and deploying supervised and unsupervised machine learning algorithms in production.Degree in Applied Math, Data Science, Computer Science, Physics, or a Similar Technical Field.
    Strong foundations in statistics and probability.
    Minimum 4 years experience working as a data scientist in Python or R.
    Experience with version control and code management in Git.
    Knowledge of good software engineering principles.

    Other required qualifications:

    Proven ability to work alone and with teams in a dynamic, multicultural environment.
    Passion for improving lives through technology.
    Strong oral and written communication skills in English. Fluency in languages spoken in countries where IDinsight works is a plus.
    Strong values aligned with IDinsight’s stated values.
    Ability and interest in sharing knowledge, mentoring others, presenting work, and reviewing the work of others.
    Deeply passionate about global development and improving lives in disadvantaged populations
    Open-minded self-starter who will thrive while tackling new, unusual, and unpredictable challenges

    Preferred Qualifications
    The most competitive applicants will also have experience in one or more of the following:

    Advanced degree (Masters or PhD) in a technical field.
    Experience living and working in developing country settings.
    Experience working on optimization and unsupervised learning problems.
    Experience working on natural language processing problems.
    Experience working with SQL, custom APIs, and AWS products like RDS, EC2, and Lambda.
    Experience with other programming languages, especially R or Java.
    Experience working with GIS software such as QGIS.
    Experience working with satellite imagery / remote sensing data.
    Experience with Docker.

    Apply via :

    alcareers-idinsight.icims.com

  • Data Scientist II/III

    Data Scientist II/III

    We are working to build IDinsight into a global leader in the use of machine learning to solve some of the world’s most urgent problems.
    You’ll be joining a growing data science team and working on highly impactful and innovative projects with our partners. You’ll be joining an entrepreneurial team where you have a strong voice in how the team functions and grows. You’ll get to work on the full spectrum of the data science solution – from design to deployment. To be effective, data science products need to be contextually relevant and build on subject-matter expertise. You will get to work closely with our partners, our team of economists, social sector experts, and public health specialists to build and test solutions.
    Learning is a key part of being a data scientist. 10% of your time would be dedicated to learning new skills and side projects of your choice. You’ll have strong mentorship to guide your data science career, and you’ll make interesting and valuable connections.

    About the Role

    We are seeking candidates with strong data science skills and a passion for building solutions to difficult social problems. Most importantly, successful candidates should possess the ability to work independently to solve complex challenges related to both human and technological.

    As a senior data scientist, you’ll also be across multiple projects and bring technical expertise to the team. In addition to the tasks above, you’ll be:

    Working with clients to understand their needs: Understanding their current processes and pain points and identifying which of these can be framed as a tractable data science problem.
    Providing technical oversight on multiple projects.
    Designing, testing, and improving various algorithms: From OOTB sci-kit-learn algorithms to bespoke ones.
    Writing articles and blog posts to share our work for technical and non-technical audiences.
    Synthesizing, visualizing, and communicating results: Dashboards, plots, interactive viz, presentations, and reports
    Writing test cases, setting up CI/CD, and deploying solutions using cloud resources.
    Ensuring business problems are framed correctly: Not everything is a data science problem, and a senior data scientist would have the expertise to make this judgment.
    Ensuring appropriate methods are being used to tackle the problem: Having a broad knowledge of methods would allow a senior data scientist to pick the one best suited for the task.
    Establishing standards and best practices: The senior data scientist will bring experience in writing quality code and project management best practices.
    Doing code reviews: Every piece of code we write should be reviewed. Senior data scientists would often be a reviewer and also establish best practices for reviews.
    Provide mentorship to junior data scientists.
    Provide expertise in one or more of the following:
    Deep-learning: image classification/segmentation, sequence models
    Optimization under constraints: linear programming, evolutionary algorithms
    NLP: sentiment analysis, text summarization
    Other: performance tracking, online learning, contextual bandits, survival analysis

    Required Technical Qualifications

    Intermediate to advanced Python skills. Please do not apply if you are not an expert in standard data science packages in Python (numpy, pandas, scikit learn, etc.).
    Hands-on experience building and deploying supervised and unsupervised machine learning algorithms in production.Degree in Applied Math, Data Science, Computer Science, Physics, or a Similar Technical Field.
    Strong foundations in statistics and probability.
    Minimum 4 years experience working as a data scientist in Python or R.
    Experience with version control and code management in Git.
    Knowledge of good software engineering principles.

    Other required qualifications:

    Proven ability to work alone and with teams in a dynamic, multicultural environment.
    Passion for improving lives through technology.
    Strong oral and written communication skills in English. Fluency in languages spoken in countries where IDinsight works is a plus.
    Strong values aligned with IDinsight’s stated values.
    Ability and interest in sharing knowledge, mentoring others, presenting work, and reviewing the work of others.
    Deeply passionate about global development and improving lives in disadvantaged populations
    Open-minded self-starter who will thrive while tackling new, unusual, and unpredictable challenges

    Preferred Qualifications

    The most competitive applicants will also have experience in one or more of the following:

    Advanced degree (Masters or PhD) in a technical field.
    Experience living and working in developing country settings.
    Experience working on optimization and unsupervised learning problems.
    Experience working on natural language processing problems.
    Experience working with SQL, custom APIs, and AWS products like RDS, EC2, and Lambda.
    Experience with other programming languages, especially R or Java.
    Experience working with GIS software such as QGIS.
    Experience working with satellite imagery / remote sensing data.
    Experience with Docker.

    Apply via :

    alcareers-idinsight.icims.com

  • Associate & Senior Associate

    Associate & Senior Associate

    About the Associate & Senior Associate role

    IDinsight’s Associates and Senior Associates are high-performing early-career professionals passionate about experiencing the front-line realities of evidence-informed decision-making.
    Associates and Senior Associates are responsible for the following areas of work:

    Managing project team workflow, systems, and deliverables

    Driving the day-to-day execution of the project work according to project plans and leading internal coordination efforts for their team
    Conducting and supporting appropriate research design, data collection or acquisition, technical analysis, and results visualization/packaging, etc. for project tasks
    Creating client deliverables, including reports, slide decks, and oral presentations to inform decisions and actions of clients
    Developing strategic communications to build awareness of IDinsight projects and learnings, contribute to sectoral knowledge, and shift the sector towards more evidence-informed policy and practices

    Supporting their team in developing strong client relationships

    Preparing talking points and presentations for client and partner meetings
    Managing relationships with stakeholders
    Contributing to client development, including developing proposals and concept notes

    Leading data collection activities

    Overseeing all data collection activities to ensure quality, including questionnaire development, sampling, managing data collection teams, analysis, and result synthesis
    Traveling to project sites, IDinsight offices, embedded client locations, and other areas as per project needs

    Contributing to internal team building

    Developing, piloting, and implementing internal systems or other organizational contributions (e.g., event management) for IDinsight, in coordination with functional teams such as Operations, Communications, Finance, etc.
    Contributing to office life and culture building, such as facilitating All Hands Meetings; leading team building efforts at team retreats; participating in Social Cultural Committee events; and engaging with the DEI Working Groups.

    Qualifications

    IDinsight Associates and Senior Associates come from a wide range of disciplinary backgrounds, including economics, data science, policy research, development projects, engineering, environmental science, political science, public policy, literature and more. Given that no Associate or Senior Associate comes in with the same exact background as another, we’re typically looking for candidates with a broad range of qualifications and former experiences. Here are some examples of the key qualifications most successful candidates should possess:

    Knowledge, skills, and abilities

    Strong analytical skills, with exposure to (either via professional work experience or academic coursework) the basics of econometrics, data, and research analysis tools, and quantitative and qualitative research processes or an ability to quickly understand these topics
    Strong writing skills with the ability to translate technical jargon into well-structured, writing-based deliverables (e.g., policy briefs, project memos, analytical reports, external blog posts, and more)
    Ability to understand complex concepts and topics quickly even with limited prior knowledge or exposure and a willingness to invest in learning new concepts, skills, and methods without being prompted

    Behaviors and mindsets

    Highly organized, attentive to deadlines, and able to manage a high volume of work with efficiency
    Excellent interpersonal skills, can effectively engage with stakeholders ranging from school children to senior government officials to internal colleagues, and places a high value on being a teamplayer
    Demonstrated ability to be a self-starter and fast learner; resourceful and resilient in the face of challenges
    Intellectually curious and a willingness to share your opinions with the team, question the status quo, and encourage others to expand their perspectives
    Excels in diverse team environments, consistently treating colleagues across our global organization with respect.
    Embodies our organizational values and demonstrates a steadfast commitment to diversity, equity, and inclusion in their daily interactions.
    Deeply passionate about combating poverty worldwide and improving lives in disadvantaged populations
    Willingness to travel for extended periods of time where safety precautions and restrictions allow, including to remote and rural areas

    Additional preferred qualifications

    Proficient in statistical analysis and data collection software, such as Stata, SPSS, R, SurveyCTO, and/or Open Data Kit
    Familiarity with local context as well as working proficiency in the local language(s) of country of placement

    Apply via :

    alcareers-idinsight.icims.com

  • RED Team Operations Sr. Associate or Manager

    RED Team Operations Sr. Associate or Manager

    The RED Team is the nerve center behind IDinsight’s mission to conduct high-quality, technically accurate, rigorous, ethical, and transparent work. RED Team members are the sectoral specialists and methodological experts on client engagements. And it takes the lead on some of the most technically complex client engagements, such as the data science, data engineering and monitoring systems work. It is responsible for setting the technical standards and producing and maintaining the technical resources of the organization, while ensuring the technical professional development of all IDinsight staff.

    To support RED Team leadership, the Operations Sr. Associate’s / Manager’s responsibilities will include:

    Drive forward the RED Team Strategy
    Help determine skills strengths and gaps on the RED Team as a whole
    Drive recruitment processes for key hires on a rapidly growing team
    Staff RED Team members on projects

    Assign RED team members to projects based on specialization and capacity
    Track members’ allocation and utilization 

    Facilitate knowledge/information management across RED Team and organization
    Assist DSEM team with client development of high impact potential projects including coordination with regional teams across IDinsight
    Help budget leads track team finances
    Support the agenda-setting for weekly team meetings and annual retreats
    Serve as the Ethics Review Committee Coordinator
    Track project teams’ IRB and ethics review status
    Track project publication status
    Maintain the IDinsight public data repository, and supporting teams on publishing data to the repository
    Assist the RED Team Director and DSEM Director with executing other important and time sensitive work streams as they arise.
    This role will report directly to the RED Team Director and will interact regularly with the DSEM Directors and RED Team Operations. While being housed in the RED team, this position will also regularly interact with the IDinsight Global Operations team as well with the Chiefs of Staff of other IDinsight teams. 

    Qualifications
    An ideal RED Team Operations Sr. Associate / Manager must: 

    Effectively manage complex strategic projects and operations from start to finish
    Be proactive and organized
    Have attention for detail, while being able to zoom out and understand the big picture
    Be excited to create and deploy high-impact internal systems
    Be able to navigate and build Excel documents / GoogleSheets like a pro
    Have a knack for figuring out how new software systems work
    Be able to write clearly and concisely
    Have a sense of humor

    A bonus would be if this teammate can already (or be able to learn how to) do the following: 

    Use Airtable to develop relational models, queries, views and dashboards
    Be familiar with  Stata, R, and Python or tools like GitHub

    Professional Development

    Skill and career development are core to IDinsight’s values and long-term impact strategy, and have been noted highlights of teammates’ experiences. IDinsighters receive significant mentorship from IDinsight leadership, support from talented peers, and are given considerable autonomy when ready. They maintain professional development plans and are given “stretch” opportunities designed to strengthen a variety of skills. Real-time feedback is embedded in our culture and formal structure enables maximum professional growth.

    Apply via :

    alcareers-idinsight.icims.com

  • Data Scientist III/IV

    Data Scientist III/IV

    About the Role

    We are seeking candidates with strong data science skills and a passion for building solutions to difficult social problems. Most importantly, successful candidates should possess the ability to work independently to solve complex challenges related to both human and technological.

    As a senior data scientist, you’ll also be across multiple projects and bring technical expertise to the team. In addition to the tasks above, you’ll be:

    Working with clients to understand their needs: Understanding their current processes and pain points and identifying which of these can be framed as a tractable data science problem.
    Providing technical oversight on multiple projects.
    Designing, testing, and improving various algorithms: From OOTB sci-kit-learn algorithms to bespoke ones.
    Writing articles and blog posts to share our work for technical and non-technical audiences.
    Synthesizing, visualizing, and communicating results: Dashboards, plots, interactive viz, presentations, and reports
    Writing test cases, setting up CI/CD, and deploying solutions using cloud resources.
    Ensuring business problems are framed correctly: Not everything is a data science problem, and a senior data scientist would have the expertise to make this judgment.
    Ensuring appropriate methods are being used to tackle the problem: Having a broad knowledge of methods would allow a senior data scientist to pick the one best suited for the task.
    Establishing standards and best practices: The senior data scientist will bring experience in writing quality code and project management best practices.
    Doing code reviews: Every piece of code we write should be reviewed. Senior data scientists would often be a reviewer and also establish best practices for reviews.
    Provide mentorship to junior data scientists.
    Provide expertise in one or more of the following:
    Deep-learning: image classification/segmentation, sequence models
    Optimization under constraints: linear programming, evolutionary algorithms
    NLP: sentiment analysis, text summarization
    Other: performance tracking, online learning, contextual bandits, survival analysis

    Required Technical Qualifications

    Intermediate to advanced Python skills. Please do not apply if you are not an expert in standard data science packages in Python (numpy, pandas, scikit learn, etc.).
    Hands-on experience building and deploying supervised and unsupervised machine learning algorithms in production.Degree in Applied Math, Data Science, Computer Science, Physics, or a Similar Technical Field.
    Strong foundations in statistics and probability.
    Minimum 4 years experience working as a data scientist in Python or R.
    Experience with version control and code management in Git.
    Knowledge of good software engineering principles.

    Other required qualifications:

    Proven ability to work alone and with teams in a dynamic, multicultural environment.
    Passion for improving lives through technology.
    Strong oral and written communication skills in English. Fluency in languages spoken in countries where IDinsight works is a plus.
    Strong values aligned with IDinsight’s stated values.
    Ability and interest in sharing knowledge, mentoring others, presenting work, and reviewing the work of others.
    Deeply passionate about global development and improving lives in disadvantaged populations
    Open-minded self-starter who will thrive while tackling new, unusual, and unpredictable challenges

    Preferred Qualifications
    The most competitive applicants will also have experience in one or more of the following:

    Advanced degree (Masters or PhD) in a technical field.
    Experience living and working in developing country settings.
    Experience working on optimization and unsupervised learning problems.
    Experience working on natural language processing problems.
    Experience working with SQL, custom APIs, and AWS products like RDS, EC2, and Lambda.
    Experience with other programming languages, especially R or Java.
    Experience working with GIS software such as QGIS.
    Experience working with satellite imagery / remote sensing data.
    Experience with Docker.

    Applications will be reviewed on a rolling basis. The application asks various questions for us to get to know you and requires a CV and cover letter.

    Apply via :

    alcareers-idinsight.icims.com

  • Chief Executive Officer

    Chief Executive Officer

    The Role

    Building on IDinsight’s strengths and impressive results to date, the CEO will engage the Board and IDinsight senior leadership to co-own the next phase of IDinsight’s ambitious strategy and growth plan to achieve social impact at scale and influence how the development sector makes decisions.
    This endeavor demands a leader who can: inspire the broader global development field and its decision-makers to adopt data and evidence-based approaches. They will attract, empower, and mentor internal leaders; guide IDinsight strategy; demonstrate IDinsight’s values in every action; conceptualize and launch large, high-impact new initiatives; and attract financial resources to fund innovative projects and the organization’s scale-up. IDinsight’s senior leadership, including highly independent regional directors will allow the CEO to focus on the most high-leverage strategic and influential initiatives to achieve our mission.

    Lead vision and strategy
    The CEO will set, execute, and continually refine IDinsight’s strategy

    Set IDinsight’s strategy to achieve its mission and vision; analyze trends within the data and development field and opportunities; communicate organization-wide priorities, shaping the portfolio of work; identify opportunities and lead change when necessary.
    Lead long-term and annual planning processes with senior leadership and the Board.
    Work with senior leadership to establish systems for tracking and reporting on progress against strategic plans; mitigate risks to successful execution.

    Create large scale social impact
    The CEO will ensure IDinsight is able to maximize its long-term social impact.

    Launch high-impact new initiatives and services to further data- and evidence- driven decision making in global development.
    Advise on and drive performance for the organization’s social impact, technical robustness, financial health, project execution quality, and status of client relations for all projects in IDinsight’s portfolio.

    Empower people, drive culture, and champion values
    The CEO will empower IDinsight’s exceptional people, model and drive exceptional organizational culture, and champion organizational values.

    Empower IDinsight’s people (a team of 300 individuals from 25+ countries) and help them create a direct link between their work with social impact at scale.
    Model and drive organizational culture to create cohesion amongst distributed teams.
    Champion organizational values so as to attract and retain mission-driven team members.
    Ensure IDinsight is a professional home where team members of diverse backgrounds experience inclusion and equity, and therefore a deep sense of belonging.

    Influence actors in global development

    The CEO will expand IDinsight’s influence and reputation to promote evidence-based solutions to development challenges.
    Create and increase IDinsight’s brand recognition as an exemplary organization in terms of impact, innovation, and influence.
    Inspire all of IDinsight’s constituents and position the organization as an influential thought leader.
    Maintain pulse and engage in public discussion (e.g., blogs, social media, conferences, etc.) on newest trends and latest debates in global development and identify appropriate opportunities for IDinsight to contribute to and shape these debates.
    Provide direction for IDinsight’s communications strategy to facilitate internal and external alignment.
    Advocate for evidence-based and innovative approaches to development through conferences, speaking engagements, events, and thought pieces.
    Build and maintain influential relationships with appropriate stakeholders.
    Position IDinsight leadership as trusted advisors (either formally or informally) to “marketmakers” (e.g., decision-makers in governments, large foundations, NGOs and think tanks).
    Build and maintain strategic relationships with influential members of the development community.

    Maintain financial health
    The CEO will assume ultimate responsibility for maintaining IDinsight’s exceptional financial health, as well as ensuring the business model maximizes social impact.

    In partnership with the Regional Directors and Philanthropic Engagement team, and through significant personal investment, identify, cultivate, develop, secure, and steward high impact donors; ensure that funds are properly and strategically allocated to support IDinsight’s core project work and strategic initiatives.
    Oversee high-level budget setting to maintain the organization’s exceptional financial health and optimal resource allocation for strategy execution.
    Develop and engage board of directors
    The CEO will report to, manage, and develop IDinsight’s Board of Directors; facilitate Board engagement.
    Engage the Board of Directors in its important governance role by openly communicating about the organization’s opportunities, strategic choices, and progress toward goals.
    Recruit committed, strategic Board members who can help IDinsight expand its influence and impact.
    Suggest changes to the Board when appropriate, in light of IDinsight’s strategy.

    The Ideal CEO
    IDinsight’s next CEO:

    Must be driven to work with global low-income and marginalized communities, ideally with significant personal and/or professional experience in one of the countries where IDinsight does its work.
    Must be passionate about, and with a track record, using cutting edge analytics that help and influence decision-makers (policymakers, funders, NGOs) to make high-impact programs.
    Will have a career background related to “data for development”: research, measurement, evaluation, and/or learning; consulting; and/or global development.
    Will ideally bring a compelling blend of tangible results and experience:
    Identifying, cultivating and securing significant new philanthropic funding.
    Attracting, managing and mentoring a large and talented team.
    Building a cohesive culture across geographies and offices.
    Supporting and overseeing the work of functional leads who enable client-facing teams and organizational growth as well as operational/fiscal discipline, transparency and critical investments in systems.

    Viewcrest Advisors is the search partner supporting IDinsight, with collaboration from Shortlist. Please share nominations or submit a resume and cover letter to Viewcrest Advisors: IDinsightCEO@viewcrestadvisors.com

    Apply via :

    IDinsightCEO@viewcrestadvisors.com