Data Scientist & Machine Learning Engineer

Job Description

We’re a small company, with a big vision...creating something that really matters.

We’re working on a solution that makes it nearly effortless for anyone to make better environmental decisions - across pretty much anything they do online. It’s different from anything else on the market, and our MVP testing has us optimistic that we might be onto something special (impact + business case).

We’re looking for experienced (or up-and-coming) data scientists and machine learning engineers to help us build out our recommendation engine. This engine represents the core of our technology stack, inputting an ever-expanding set of data, and outputting increasingly personalized recommendations.

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WHAT YOU’LL BE RESPONSIBLE FOR:

  • Designing & developing our core recommendation engine and algorithms (calculation, scoring, optimization, recommendation). Authoring strategies to influence user behavior (while respecting & protecting user privacy), and designing experiments to evaluate.
  • Implementing learning mechanisms to further personalize and expand our recommendations, as well as to identify and rapidly respond to trends, new (or unexpected) learnings, and/or biases.
  • Architecting & refining our data pipelines, as well as advising and/or creating our DB structures.
  • Working on a day-to-day basis with our environmental scientists, developers, and broader team to ensure we have the data and technology stack we need to deliver products that create measurable user value, move key performance metrics, bring about real change, and position us to scale into the future.
  • ...Basically, helping us to take our next big step forward with our core Intellectual Property, and helping to create and grow our lasting competitive advantage.

This position is part data scientist, part data engineer, but mostly algorithm / machine learning engineer.

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WHO WE’RE LOOKING FOR:

  • Smart, passionate people, who are driven to help find solutions to climate change (or at least, interested in tough intellectual challenges).
  • Strong background in data science and/or machine learning / artificial intelligence.
  • Some experience in SW development.
  • Able to run lean, remain disciplined in thought and execution, and continuously strive for improvement.
  • Creative and self-motivated when finding solutions to uncertain and difficult challenges.
  • Somebody who makes everybody around them better. Somebody who people want to work with.
  • Ultimately, somebody who is looking to tackle a tough challenge, and to grow their own personal responsibility (NOT be told what to do).

This position will be an opportunity and a challenge to operate as a leader with freedom, to personally grow, and to leverage your own creativity - in a rapidly growing company that’s trying to change the world.

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ABOUT US:

We’re a Taipei, Taiwan-based company, with international aspirations on Day 1, and a team to prove it. We’re seed funded, and currently in the midst of our MVP testing. Our product has a clear initial target audience, and (we believe) the ability to scale far beyond the growing set of people who currently see climate change as an urgent issue. We use modern SW practices, and optimize for learning, for moving quickly, and for efficiency. We sometimes use run-on sentences :).

We’re entrepreneurs, technologists, and scientists. We’ve built and sold startups, have run product efforts for unicorns (like Gogoro), and worked on lots of innovative products with innovative people.

We want to work at a great place, on a product that makes a difference. We want you to make us better.

If interested, please email Ken Wall at [email protected] for more information.

Requirements

REQUIRED QUALIFICATIONS:

  • Good English proficiency, and experience working in multi-cultural / international environments.
  • At least 3-5 years of experience in data science and machine learning / AI (work, academic).
  • Skilled in the application of a programming language used for data analysis (e.g. Python, R).
  • Proficient in a database query language such as SQL, and basic database management.

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HELPFUL QUALIFICATIONS:

  • Masters degree or PhD in data science, machine learning, engineering, or another quantitative field.
  • Experience writing production code in NodeJS (readable, maintainable, scalable).
  • Experience working in a startup.

Interview process

  1. Initial screening conversation to assess mutual fit (background, strategic thinking, cultural fit). 
  2. Technical interview.
  3. Small compensated project, to assess quality of deliverables

Personal Invitation Link

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Melio Group Inc.

No. 1號, Yumen Street, Zhongshan District, Taipei City, 10452

About us

We’re a small company, with a big vision...creating something that really matters.

We’re working on a solution that makes it nearly effortless for anyone to make better environmental decisions - across pretty much anything they do online. Backed by science, personalized for users. It’s different from anything else on the market, and our MVP testing has us optimistic that we might be onto something special (impact + business case).

-----

We’re a Taipei, Taiwan-based company, with international aspirations on Day 1, and a team to prove it. We’re entrepreneurs, technologists, and scientists. We’ve built and sold startups, have run product efforts for unicorns (like Gogoro), and worked on lots of innovative products with empowered people.

We want to work at a great place, on a product that makes a difference. We want you to make us better.

If interested, please email Ken Wall at [email protected] for more information. If you want to make us and the world a little better, we'd love to talk.

Team

Kenneth Wall

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