Working at Thinking Machines

Thinking Machines is a technology consultancy building AI & data platforms to solve high impact problems for our client. Our vision is for Southeast Asia to become a global hub for data science. To do that, we create data 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.

Role Description

The Environmental Intelligence Analyst will co-drive the Sustainability Team's commitment to:

Provide useful, reliable, timely, and cost-effective spatial analysis services to our existing Eco-Intelligence Solution clients
Identify ways to use data analytics to solve problems faced by organizations working to scale natural climate solutions
Cultivate a culture of sustainability among TM employees and alumni

Geospatial Analytics (70%) - Extract actionable insight from spatial data to empower nonprofits, companies, foundations, and other clients to effectively implement and scale their environmental initiatives

Data Analysis
Collaborate with clients and our geospatial team to scope and deliver geospatial analysis requirements that match client needs
Create client-facing reports, presentations, maps and presentations on key insights from spatial data
Correctly select and apply appropriate spatial analysis techniques such as site selection or multi-criteria decision analysis, spatial clustering, or spatial correlation to solve problems for clients
Produce well designed maps and other visualization to effectively communicate insights to target audiences
Data Management (Data Assessment and Wrangling)
Deliver on our client projects by processing spatial data, deriving relevant features, and performing exploratory analysis
Define spatial data transformation or quality requirements to address client needs
Use Python, SQL or QGIS to transform raw data into formats that are usable for analysis and can be easily understood and maintained (through good documentation and structure)
Trace and resolve spatial data quality or accuracy issues to build client trust in the data
Coordinate with data engineers to design systems and tools to automate spatial data transformation and assessment processes
Guide junior analysts with data wrangling and analysis tasks

Geospatial Data Curation (30%) - Serve as our in-house expert and lead curator of environmental datasets in our Geospatial Data Warehouse.

Identify, acquire, process, document, or generate new datasets that address the needs of our clients in sustainability. This includes:
Open and public datasets
Datasets from 3rd parties (academic institutions, non-profits, community organizations) that could be acquired by request or through data sharing partnerships
Datasets derived by combining or processing existing datasets in unique ways
Serve as our in-house 'expert' on the datasets. Guide fellow data analysts and machine learning researchers on the correct use, interpretation, and limitations of the datasets
Ensure that the data in our Geodata Warehouse complies with FAIR principles - that is, is Findable, Accessible, Interoperable, Reusable - to maximize value and usability to our clients and teammates
Identify and spearhead efforts to identify and apply new tools and best practices to our Geospatial Data Warehouse management efforts

Requirements

Essential Skills

Excellent written, visual, and verbal communication skills. Able to draw out insights from spatial data and translate these into clear, compelling, and understandable knowledge products such as narrative reports, slide decks, static and interactive maps.
Client-facing communications. Able to drive need-finding conversations with clients and recommend solutions to meet their needs. Can translate ambiguous requirements into concrete outputs that solve problems for clients.

Technical Skills and Knowledge

Spatial Data Wrangling Tools
Processing spatial data using Python libraries such as Geopandas
Running spatial queries, operations, and joins using SQL
Quickly prototyping maps and spatial analyses using QGIS
Spatial Data Visualization Tools
Carto
Mapbox
ArcGIS/QGIS
Spatial Data Types

High Preference For Candidates That Have

Domain knowledge in forestry, ecosystems, environmental science, environmental management, voluntary carbon markets, environmental planning
Experience working with earth observation and remote sensing data sources, such as large-scale LiDAR datasets and Google Earth Engine.
Experience working with nonprofits, academe, government agencies, and/or other organizations dealing with environmental conservation, preservation, and restoration

Environmental Intelligence is not just a passion or hobby for us. It's a reason for being many of us in the #green-team have chosen to live by. What originally started as individual personal missions has now grown into a company commitment. We're determined to contribute our skills and solutions to learning in the open. If you are committed to the same and to learning alongside us, we think you'd be a great fit!

Benefits and Perks

We Offer The Following Compensation And Benefits

Competitive salary — the compensation amount is positively correlated with the difficulty of the job, relevant experience, fit, and skill factors.
Fully remote — due to the global pandemic, we have shifted to a fully remote company for the foreseeable future while we monitor the situation.
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 upon hiring.
Regular 1:1 meetings with the leadership team to discuss career and personal goals, job progress and any questions and concerns.

Thinking Machines Data Science

IT / Development

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