Data Scientist

Gradient Metrics

Anywhere, Remote Company

Remote possible

bayesian-networks regression classification clustering feature-selection

Number of employees: 1 - 9


Added 12/12/2017 4:10:57 PM

Position info

Seniority: Senior

Monthly gross salary range: 15000 - 25000 PLN

Team description:

Data is evidence. We are marketers and technologists that build robust models to guide managers in their decisions. We believe in sound design, interpretability, and going out and getting the data if you don’t already have it.

We will define the question with you and work backwards to the analysis it requires. We speak conjoint, forecasting, segmentation, attribution, targeting, customer lifetime value, random forests, naive bayes classifiers, regularized regression, applied probability models, hierarchical bayes, spatial autoregression – and more.

If you like what we have to offer, drop us a line.

Position description:

Are you insatiably curious? A lover of statistics, data and programming? Do you enjoy a formidable business challenge? If so, then we share a lot in common and would love to get to know you better.

What is Gradient?

We’re a new breed of market researchers and data scientists  that apply statistical models to make difficult decisions easier.  We create actionable intelligence from data of any kind. We investigate deeply and iteratively to solve problems, not symptoms. Above all else,  we are never satisfied with the first layer of understanding.

We help a diverse array of clients from Series A startups to Fortune 100 companies precisely evaluate their marketing campaigns, calculate customer lifetime value, assess brand equity and experiment with new product design. And that’s just an appetizer.

There is no “standard” day at Gradient — we like to push the norm by exploring new methodologies and technologies. We can do this because we are lean, flexible, and efficient. This makes us a little different than our peers and we’re looking for someone with a healthy dose of curiosity, brilliance, and (a bit of) grit to join us.

What we’re in the market for

We are looking for an experienced, multi-skilled analyst with exceptionally strong quantitative reasoning abilities and a highly refined sense of business strategy and marketing science.  The role will involve significant technical and client-facing components and requires advanced fluency in R, deep knowledge of statistical modeling, and a professional disposition to collaborate effectively with a non-technical audience.

We anticipate this role will require an advanced degree in statistics, data science, or applied math along with a solid record of experience in the professional world, but we’re more interested in what you can do than what credentials you may have.

As a remote company, we need someone who is comfortable with limited direct oversight and relying upon a mix of collaborative tools. We’ve setup a high-functioning collaborative infrastructure that allows us to be productive and work together from across the world, but we recognize this is not for everyone.

Why we think we’re special

Gradient is a truly unique company, and we intend to keep it that way. We value both independence and collaboration — meaning you can do what you need to do to solve a problem, but you have all the tools and expertise at your disposal to get it done. You’ll be part of our growth and will help craft our legacy.

You’ll learn something new every single day by solving problems that rarely have a clear solution. And if you don’t know something, we’ll give you the resources you need to figure it out. We love books, classes, and workshops.

We’ll take good care of you with a competitive salary, healthcare coverage, unlimited time off, and a flexible schedule that allows you to be a real person too.

If you think you’ve got what it takes to enter the Gradient fold, we’d love to hear from you by filling out this


Must have:

  • R
  • Knowledge about Quantitative Marketing
  • Statistics
  • Programming skills

Nice to have:

  • LaTex
  • git
  • Visualization skills
  • Communicative

Languages: English

Apply Now!