Data Scientist or Senior Data Scientist (Delhi/remote)

Posted on: 08 August 2022 Deadline: (Ongoing)

Background

The International Initiative for Impact Evaluation (3ie) promotes evidence-informed equitable, inclusive, and sustainable development. We support the generation and effective use of high-quality evidence to inform decision-making and improve the lives of people living in poverty in low- and middle-income countries (L&MICs). We provide guidance and support to produce, synthesize and quality-assure evidence of what works, for whom, how, why, and at what cost. We then work to have high-quality evidence used in development decision-making. 3ie is registered as a non-governmental organization in the United States.

3ie is in a growth phase, transitioning from primarily serving as a donor focused on generating evidence to becoming a world-class evidence consultancy helping major donors, philanthropies, and developing country governments use evidence in their decision-making. We are seeking individuals who can provide vision and entrepreneurial ability in shaping the 3ie of the future.

3ie seeks a Data Scientist or Senior Data Scientist to work at our Delhi office, remotely or in a hybrid arrangement, maintaining 40-hour weeks with flexible hours to support extensive collaboration between the Delhi, London and Washington offices.

Summary

The Data Scientist (DS) or Senior Data Scientist (SDS) will provide technical and management leadership and support in the application of data science (including spatial data science) methods to impact evaluations and evidence synthesis, including through the use of big data and predictive analytics (e.g., data mining, machine learning, predictive modelling). They will lead and/or support the design, implementation, review, oversight, and quality assurance of impact evaluations employing these methods. They will also contribute to the development and testing of novel methods to improve the rigor and/or efficiency of the analysis.

In addition, the DS or SDS will support the preparation of proposal materials for fundraising, writing program documents and publications, reviewing grant proposals, managing external reviewers and consultants, and providing technical leadership for internal and external capacity building as needed. They will participate in high-level events, conferences, and workshops. In various capacities, they may communicate and negotiate directly with funders and represent 3ie to policymakers and researchers.

The successful candidate will have demonstrated expertise in data science, experience working in big data ecosystems, and familiarity with causal inference and impact evaluation, including experimental and quasi-experimental research designs, methods and the major applications and limitations of each.

Experience implementing research and translating research evidence for decision-makers in L&MICs is highly desirable. We are seeking a highly diplomatic and entrepreneurial individual who is comfortable taking initiative and who thrives in a matrix-managed, fast-paced environment.

The DS or SDS will report to the Lead Evaluation Specialist heading 3ie’s Data Innovations initiative and may supervise and mentor junior staff.

They will be working in a matrixed environment and will be expected to establish strong and collaborative relations with staff across all 3ie offices, with researchers and other stakeholders in the field and with 3ie members located in L&MICs. International and domestic travel is expected at approximately 10 to 20 percent of their time, the situation permitting.

Key responsibilities

Impact evaluation and technical leadership

  • Provide technical and management leadership and support in the application of data science methods to impact evaluations and evidence synthesis, including through the use of data mining, machine learning, artificial intelligence, and big data
  • Conceptualize, design, conduct, review, oversee, and/or quality-assure impact evaluations employing these methods
  • Develop and test novel methods to improve the rigor and/or efficiency of impact evaluations and evidence synthesis
  • Lead teams in designing and implementing protocols for the collection, cleaning, processing, analysis, and interpretation of multiple different types of data sources, including machine-generated (e.g., fixed and mobile sensors, satellites), process-mediated (e.g., administrative data, call record details), and human-sourced (e.g., social networks, crowd-sourcing)
  • Provide other technical assistance to key 3ie stakeholders as needed, on topics including but not limited to capacity-building, evaluation methods and study design, database development, and evidence uptake and use
  • Work with consultants and stakeholders in the field, as well as with 3ie staff, to ensure documentation of 3ie’s evaluation programs

Institutional advancement and communication

  • Represent 3ie in evaluation and development fora, including technical working groups and donor, bilateral, and multilateral consultative groups, and meetings
  • Strengthen and build relationships with 3ie’s key stakeholders, including members, donors, policymakers, and researchers
  • Lead and contribute to communicating results to various audiences through technical reports, publications, briefs, blogs, website content, and other social media on evidence programs and professional services
  • Engage in strategic growth and diversification of 3ie initiatives to cultivate donors, develop partnerships, write technical proposals, and support innovations in program development

Qualifications and skills

Education and work experience for the SDS position

  • PhD in economics, data science, statistics, engineering, public policy, or other relevant social science with a significant quantitative analysis component with at least one to two years (or a master’s with at least four to five years) of experience in relevant fields, as applied to L&MICs
  • Advanced expertise in data science methods, including data wrangling, exploratory analysis of large-scale datasets, statistical analysis, predictive analytics
  • Experience with spatial analysis and geographic information systems
  • Research experience and in-depth knowledge of experimental and quasi-experimental methods applied in impact evaluation (e.g., randomized controlled trials, instrumental variables, propensity score matching, interrupted time series)
  • Academic knowledge of and direct field experience with environmental, health, nutrition, and other social sector programming in L&MICs (direct field experience preferred)
  • Experience with research transparency practices and open data preferred
  • Experience supporting new business activities and demonstrated ability to write technical proposals across one or more development sectors preferred

Education and work experience for the DS position

  • Bachelor’s or master’s (preferred) in economics, data science, statistics, engineering, public policy, or other relevant social science with a significant quantitative analysis component with at least two years of experience in relevant fields, as applied to L&MICs
  • Background and demonstrated experience applying data science methods, including data wrangling, exploratory analysis of large-scale datasets, statistical analysis, predictive analytics
  • Experience with spatial analysis and geographic information systems preferred
  • Working knowledge of experimental and quasi-experimental methods applied in impact evaluation (e.g., randomized controlled trials, instrumental variables, propensity score matching, interrupted time series)
  • Academic knowledge of environmental, health, nutrition, and/or other social sector programming in L&MICs
  • Experience with research transparency practices and open data preferred
  • Experience supporting new business activities and demonstrated ability to write technical proposals across one or more development sectors preferred

Skills

  • Proficiency in, and at least two years’ experience using, database programming languages such as R, Python, Matlab, or SQL (experience with Python data analysis libraries, such as Pandas, NumPy, sklearn, Tensorflow, and Bokeh/Matplotlib preferred. Experience in using Jupyter Notebooks desirable.
  • Experience with using version control management tools such as GitHub (preferred)
  • Ability to carry out spatial analyses and mapping in ArcGIS, QGIS (preferred), and/or other GIS software packages
  • Excellent teamwork skills as well as ability to take initiative and work independently as needed
  • Excellent oral and written communication as well as presentation skills in English; with professional proficiency in additional languages highly preferred
  • Excellent organizational skills, attention to detail, and the flexibility and willingness to adapt to shifting priorities and deadlines
  • Excellent cross-cultural skills and diplomacy, and a reputation for being a strategic thinker, innovator, networker, and pragmatic problem-solver
  • Experience managing staff preferred
  • Experience in coding and working with supervised and unsupervised machine learning algorithms, including but not limited to, Stochastic Gradient Descent, Support Vector Machines, Random Forests, Ensemble Methods, PCA, LDA, etc.
  • Knowledge of production-level deep learning systems to optimize processes with the help of appropriate technology for relevant tasks such as natural language processing and computer vision
  • Significant experience and enthusiasm for methods for experimental design and/or observational or quasi-experimental causal inference
  • Experience with scaling experimentation systems (for example Spark) is a plus

Eligibility

3ie will recruit one or more individuals with the right to work in India. 3ie is an equal-opportunity employer committed to equality and diversity. We do not discriminate based on sex, age, religion, ethnicity, caste, sexual orientation or for being differently abled. We particularly encourage ethnic minorities and differently-abled persons to apply.

Terms of employment

Candidates should be available to start work within one month of accepting a job offer. Salaries will be commensurate with qualifications within the applicable salary scale of 3ie. Our policies and procedures reflect our commitment to safeguarding children and vulnerable adults from abuse. We follow a zero-tolerance policy for any form of bullying or harassment in the workplace.

How to apply

Please apply by e-mail to jobs@3ieimpact.org and mention ‘3ie Data Scientist’ or ‘3ie Senior Data Scientist’ in the subject line. The applicant package must include the following*:

  • A cover letter, not exceeding one page, highlighting your experience relevant to the terms of reference
  • Please indicate in your cover letter if you have the right to work in India and if so, for what period of time
  • Curriculum vitae (not to exceed two pages)
  • Work sample demonstrating one or more of the data science proficiencies listed above (e.g., a research paper or other technical document that you alone authored/produced), including sample code from the project written by the candidate
  • Name and contact information for 2-3 references

*Incomplete applications will not be considered

Applications will be reviewed on a rolling basis until the position is filled. Only shortlisted candidates will be contacted. Incomplete submissions will not be considered.

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