266 day(s) ago

Data Scientist vacancy at Jeff App

Negotiable salary

Remote worker location: Worldwide
English: Advanced, Upper Intermediate, Native Speaker
Experience: 3+ years
Employment: Full-time

Jeff App

Latvia, Riga
Through years spent in FinTech and digital financial services industries, we have come to believe that there has to be a better way to connect borrowers and lending institutions. So we built Jeff.

Description of the job

Finally… The Kind Of Data Science Job You've Always Wanted

Everyone seems to want a data scientist on their team.
But a lot of the data science jobs out there are not as sweet as they first appear. They usually fall into one of three categories.
First, there are the companies who want a data scientist on their team because “data science is very hot right now”.
But no one in the company seems to care that there isn't an actual business problem to be solved by data science.
Everyone's fine with it as long as a few simple-minded investors are happy… Or a particular kind of executive has their ego stroked.
In reality, the “data scientist” ends up working on tasks that connect to data science loosely at best. Of course, that's not the kind of job you want.
The jobs in the second group are much more appealing at first glance.
They're usually in well-established companies that know what they're doing. And data science is actually a meaningful tool for solving their business problems.
The issue is that these jobs are often not very fun.
The teams are quite large so you feel like just another cog in the machine. Would anyone even notice if you stopped contributing?
And all the meaningful breakthroughs seem to have been achieved before you joined. So you end up working on minute details in their models.
It might be a good fit for the right kind of data scientist, but is that you?
Luckily, there's a third kind of data science job. It's one that most resembles the projects that got you excited about data science in the first place.
The problems you're working on are still critical to the success of the business - even more so than in other companies.
But since the data science team is small, your contributions are very meaningful. And not everything's been figured out already, which makes the job fun and challenging.
This is the kind of job we offer.
If that's what you've been looking for, this page could literally change the course of your career. But only if you keep reading.

Who Are We And Why We Exist

There are more than a billion people in Asia that do not have access to mainstream financial services.
At the same time, most of them have an incredibly valuable digital footprint in their mobile devices, online presence, social media, everyday apps, and many other sources.
Enter Jeff, loan broker for the unbanked. We are on the way to building a new-generation Credit Score, based on alternative data. We want to become the Credit Karma of South-East Asia's emerging economies.
Jeff's journey started in the beginning of 2020. Since then, over 700,000 people have compared close to 6 Million products in Vietnam via Jeff.
We use data science for determining the credit and conversion scores of our users. Although we have working models for both right now, they need version 2.
Your job as our data scientist will be to build and continuously improve these models. You'll also participate in Jeff's Lender API development and new data type and variable implementation.
We hope that you're excited about what this position has to offer. But that's not all.

5 More Reasons To Join Jeff As A Data Scientist

1. Focus On Data Science
One of the most annoying things about being a data scientist is that other people in the company don't understand your role.
They expect you to perform tasks that have little to do with data science (e.g. create ad-hoc reports).
This won't be the case at Jeff. You'll have enough to do figuring out and improving your models, and your teammates will know that.

2. Data-Articulate Team
Your closest partners on our data team are not data scientists. But they understand data science well enough to be helpful to you, instead of holding you back.
Similarly, everyone in the company is data-literate.
So although you will be our number one expert on data science, you won't feel like you're speaking an entirely different language than everyone else. 

3. High Degree Of Freedom
You'll have more freedom at Jeff than almost any other data science job:
  • You'll create the new models from scratch. You won't have to untangle anyone else's idea of what the models should look like.
  • We'll trust you to do things your way if you can convince our small data team that your approach is the most reasonable.
  • If you ever need more resources for carrying out your job, we won't be stingy about providing them.

4. Worthwhile Mission
Access to financial services is taken for granted in the Western world. But it's kind of insane how many people in Asia don't have access to them.
Our work grants that access to people in Vietnam, Indonesia, Philippines, and beyond. We also let people compare and choose the best product for them.
It would be a pretty cool thing to build for any number of people. But building it for over a billion people really excites us.
If you're excited by our mission too, your work here will feel that much more meaningful.

5. Company Values You Can Stand Behind
Our people are:
🔀 Versatile
🙋 Proactive
💡 Business-savvy
📢 Open to communication
🏁 Always going the extra mile
🌱 Personal growth-oriented
🤘 Ready to Rock'n'Roll
If you are too, we want you on our team!

Here's What We Expect From You

  • You have at least 2 years of experience in a data science role
  • You have successfully built intricate prediction and/or scoring models
  • You use python
  • Ideally, you have experience with new data types and variable development for APIs
  • You're based in a European or Asian timezone
The salary we've budgeted for this role is 70-105 kUSD annually (before tax). If you're interested in equity, after your 3-month probation period we can restructure your compensation package to include it.
This is a full-time position and is fully remote.

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