Umwanya w’akazi wa Rwanda Strategy & Operations Data Specialist muri One Acre Fund ku bantu bize (statistics, econometrics, or data science) (Deadline:25 April 2022)

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ABOUT ONE ACRE FUND

Founded in 2006, One Acre Fund supplies 1 million smallholder farmers with the agricultural services they need to make their farms vastly more productive. Our 8,000+ team is drawn from diverse backgrounds and professions. With operations across six core countries in Africa, we make farmers more prosperous by providing quality farm supplies on credit, delivered within walking distance of farmers’ homes, and agricultural training to improve harvests. On average, the farmers we serve harvest 50 percent more food after working with One Acre Fund.

To learn more about our work, take a look at our Why Work Here blog for more information.

ABOUT THE ROLE

We are looking for a motivated data scientist to join the Farmer Financing portfolio of our Strategic Projects team, which sits in the Rwanda Strategy & Performance Department. The Farmer Financing portfolio is focused on evolving the future of credit offerings at One Acre Fund Rwanda.

You will run the entire data pipeline for projects within this portfolio from ideation to production. The highest priority project in the first 4 to 6 months will be to build an in-house credit scoring model using in-house and publicly available data to create solution options to support updated loan business rules.

This is a Specialist Level role reporting to the Strategy & Operations Analyst.

RESPONSIBILITIES

  • Explore machine learning models with different algorithms to inform finance offerings.
  • Determine modeling needs and outcomes for farmer financing as the portfolio grows.
  • Recommend related actions for the strategic projects and field-facing teams.

CAREER GROWTH AND DEVELOPMENT

We have a strong culture of constant learning and we invest in developing our people. You’ll have weekly check-ins with your manager, access to mentorship and training programs, and regular feedback on your performance. We hold career reviews every six months, and set aside time to discuss your aspirations and career goals. You’ll have the opportunity to shape a growing organization and build a rewarding long-term career.

QUALIFICATIONS

Across all roles, these are the general qualifications we look for. For this role specifically, you will have:

  • 2+ years of experience in data science.
  • University degree in data-related fields such as statistics, econometrics, or data science.
  • You can manage multiple complex datasets and are experienced in statistical modeling, data mining, and building regression and predictive models. You can use machine learning techniques.
  • You are fluent in at least one programming language (such as R or Python) and can use SQL and NoSQL to pull data from databases.
  • Advanced Excel and Google Sheets skills (can perform complex functions and create dashboards).
  • Language: English Required. Kinyarwanda very useful.

PREFERRED START DATE

As soon as possible

JOB LOCATION

Kigali or Rubengera, Rwanda.

BENEFITS

Health insurance, paid time off

ELIGIBILITY

This role is only open to citizens or permanent residents of  Rwanda

APPLICATION DEADLINE:25 April 2022

One Acre Fund never asks candidates to pay any money or pay for tests at any stage of the interview process. Official One Acre Fund emails will always arrive from an @oneacrefund.org address. Please report any suspicious communication here (globalhotline@oneacrefund.org), but do not send applications or application materials to this email address.

Diversity, Equity, Inclusion (DEI), and anti-racism are deeply connected to our organization’s mission and purpose. One Acre Fund aspires to build a culture where all staff feel consistently valued, represented, and connected – so that our team can thrive as professionals, and achieve exceptional impact for the farmers we serve.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression. We are proud to be an equal opportunity workplace.






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