Social Sector Strategist
Working at Thinking Machines
Thinking Machines is a data science startup. Our vision is for the Philippines to become a global hub for data science. To do that, we create data science cultures, one organization at a time.
We’re a company made up of intellectually curious, civic-minded, forever-learning individuals. We believe that great data science products are built with care for people, and that the best way to drive inclusive innovation is to start with a diverse team.
Our field of work is incredibly dynamic, so we want to work with people who are committed to growing with us. We want to hire people who can demonstrate an ability to learn, then provide them with personalized coaching, growth opportunities, and a great working environment to get them to world-class.
Thinking Machines believes in applying the power of data science to help address humanity’s toughest challenges – including climate change and poverty reduction.
As a Social Sector Strategist, your role will be to build engagements and relationships with organizations that are working on solutions to these challenges. Just a few of the social impact projects we’ve done previously include:
Your challenge will be to identify opportunities to apply data science to the goals and contexts of organizations focused on social good. These organizations will include development banks, non-profits, government agencies, foundations, philanthropies, and social enterprises. You’ll need to deeply understand their needs and help them navigate the complex world of big data and machine learning.
On a typical day, you might be:
- Attending a needfinding meeting with either a non-profit, a development partner, or a government agency
- Writing a project proposal or grant application
- Scanning websites for Terms of Reference or Requests for Proposals related to AI or data science for social good
- Researching on machine learning applications for humanitarian response
- Writing a blog post about a recently completed project
- Organizing a map-a-thon with our partners at OpenStreetMap
- Briefing your data scientist and data engineer colleagues about the details of an upcoming project
You'll also be expected to help out on any tasks that may come up on ongoing projects. Since the startup space can get crazy, we are looking for someone who is up for any kind of challenge and has the initiative to seek out ways to be useful. We move fast, and we expect you to keep up!
We are looking for people who meet the following profile:
- Strong communication skills - You’ll be doing a lot of talking to potential partners and clients. Your main job will be to communicate Thinking Machines’ suite of products and services to a development sector audience. You’ll need to know how to translate the technicalities of data science into layman’s terms. You’ll also need to be an excellent writer, capable of writing clear and persuasive proposals, presentations, and case studies.
- Experience in either technology, development, or both sectors - Have you worked as a project manager or analyst in a technology company? Or as a monitoring and evaluation officer with a non-profit? Or as a consultant with an aid agency? Or perhaps a project manager with a foundation? We’re looking for individuals who can serve as translators between the tech and development worlds.
- Tech- and data-savvy - You don’t necessarily have to know how to write code, build a machine learning model, or develop a web app – but you must at least understand how data science works to explain it effectively to clients and identify opportunities for applying it to their problems.
- Strategic and analytical thinking - Do you have a knack for finding structure in chaos? Do you have the analytical mindset to explore a dataset for useful insights and hidden patterns? Can you concretize vague ideas into detailed project proposals with deliverables and timelines? Can you break down a complex problem into simpler components?
- Deep sense of altruism - You care deeply about doing effective, meaningful work that improves lives for as many people as possible. You actively educate yourself on the issues affecting us all and the potential of data science to help find, scale, and optimize solutions. You have a strong sense of ethics.
- Grit and patience - Working on social impact projects often involves dealing with large institutions, long project timelines, voluminous paperwork, and diverse stakeholders. You’ll need the fortitude and patience to work within these systems to push forward important work.
- Organized and conscientious - Again, we’re a small team, and we need people who can keep themselves organized, keep track of their own workload, and meet deadlines under minimal supervision.
- Learning agility - You must learn. You're not expected to know everything, but we expect you to fill in the gaps quickly, with guidance from your colleagues and our leadership team. You'll be part of a very talented team, make sure to learn something new everyday!
- Strong sense of initiative - There are many things to do from all sides! See something you can help with, but we haven't assigned you on? Do it.
- A team player - You’ll also need to clearly communicate client’s needs to Thinking Machines’ teams of data scientists and engineers. We’re a small team that relies on each other for ideas and double-checking. We appreciate tactfully opinionated people.
- Graduates of any course are welcome to apply. We care more about your demonstrated experience than your educational background.
- Minimum two years of work experience are strongly recommended, as we do need someone who is professionally mature enough to self-manage and confidently represent our team to external groups.
Benefits and Perks
We offer the following compensation and benefits:
- Competitive salary — The compensation amount is positively correlated with the difficulty of the job. The base salary range is 35,000/mo - 70,000/mo depending on experience, fit, and skill factors, with generous performance bonuses.
- Flex-time policy — Regular work from home and remote working days are options after probation period. Most members of our team maintain regular office hours of 10am – 4pm, and spend the rest of their workday at home.
- Individual professional development budget— An annual budget for conferences, training courses, books and software is available to sharpen your skills and build new ones to help you grow in your role
- Full health benefits—generous health insurance package
- Regular 1:1 meetings with the leadership team to discuss career and personal goals, job progress any address any questions and concerns.
How to Apply
If you fit this profile and we sound like the kind of people you want to work with, fill up the form below with your information and resume. After submitting the form, please expect an email from us within the next 15 minutes, detailing the next steps for your application. If you do not receive an email from us, please contact [email protected].
Hurry, deadline for submissions is on December 16, 2019!