(Survey) Marketing Data Scientist

 Are you insatiably curious? A lover of research, statistics, 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 Metrics?

 



 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—including Series A startups, non-profits, philanthropies, think tanks, advocacy groups, Fortune 100 companies, and more—precisely evaluate their marketing campaigns, conduct message testing, 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. Head over to our website and our latest newsletters to find out more about who we are and what we do.
 

 



 As Gradient continues to grow, you will join a small team where your decisions and actions really matter, and where you will have a lot of creative liberty.
 

 



 

  What We're Looking For: Marketing Data Scientist

 



 We are looking for a data scientist who is highly proficient in R (actually, lives and breathes R) and wants to be a part of a research team that helps clients make difficult decisions and automate our research capabilities.
 

 



 This role consists of three primary domains:
 

 



 
Executing and interpreting data analyses (using the functions and packages that our R programming team builds!) to advise our research managers
  

   
Includes (survey) data processing, tidying, reshaping and visualizing
  
 
Developing and building new research models, grounded in statistical best practices, along with being able to explain them to members of our research team
 
Working between our research team and R programmers to make your job (analyzing survey data) easier and easier!


 

  Ideal Experience & Skills

 



 
Analyzing (survey) Data in R
  

   
Highly fluent in tidyverse: dplyr, tidyr, haven, purrr
    

     
Able to transform wide format into long format and vice versa
     
Able to join datasets together with the appropriate type of join
     
Able to group, filter and summarize data
     
Able to work with (nested) lists and the purrr function family
     
Able to work with strings and regex patterns
    
   
Able to work with metadata (e.g. column labels, data recoding)
   
Ability to judge data and respondent quality
  
 
Market Research Experience
  

   
Experience with survey research and data collection tools and methods such as
    

     
Qualtrics
     
Dynata
     
Crunch
     
MTurk
    
   
Discrete choice experiments (e.g., Conjoint, MaxDiff)
   
Randomized control trials
   
Message and persuasion testing
   
MRP / weighting practices
  
 
Data Visualization
  

   
Deep familiarity and expertise in the ggplot2 library
   
Able to produce visually appealing and effective plots
  


 

  Nice to Have

 



 
Statistical inference experience:
  

   
Experience with the creation of classification, regression and clustering models
   
Experience with the GLM family (gaussian, poisson, binomial, survival, and ordinal models) as well as hierarchical models
   
Ability to explain and synthesize the results of statistical models to a non-statisticianR software development
   
Driving internal code development
    

     
Writing clean, properly formatted and commented code
     
Delivering code with tests and examples
     
Providing extensive documentation alongside your code
    
   
Experience with git
   
Constantly willing to learn and stay up to date with latest developments in R
  
 
Experience in creating and working with APIs
 
Experience with AWS cloud computing provider


 

  Employment Conditions

 



 Based anywhere, working hours in EU or North American time zones (ET +- 6 hours).
 

 



 
Based anywhere, and comfortable working standard US Eastern or EU business hours
 
Comfortable with a permanent remote arrangement
 
Spoken and written language: English
 
Flexible working hours


 

  Benefits

 



 
Above market rate salary for your location and experience
 
Profit share end-of-year bonus potential
 
Health and dental insurance
 
Contributing to retirement account
 
25 PTO days + official holidays for your country of residence
 
Childcare stipend
 
Stipend for shared or home office space
 
Stipend for extra-curricular learning
 
Bi-annual live meet-up trips with the entire team
  

   
We’ve already visited New York, Paris, the Rocky Mountains, Vancouver, and Kenya! Maybe your home town can be next, if you can convince us of how awesome it is.
  


 



 

  Why We Think We’re Special

 



 Gradient is a unique company built in a very intentional way, 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, a ton of PTO, and a flexible schedule that allows you to be a real person too.