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Published 2024-03-01

Marketing Data Scientist


Type of job: Remote
Country: United States
City: Brooklyn, NY
Company: Gradient Metrics
Company website:


Description of the offer

 

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:

  1. Executing and interpreting data analyses (using the functions and packages that our R programming team builds!) to advise our research managers
    1. Includes (survey) data processing, tidying, reshaping and visualizing
  2. Developing and building new research models, grounded in statistical best practices, along with being able to explain them to members of our research team
  3. 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.

To apply: https://weworkremotely.com/remote-jobs/gradient-metrics-survey-marketing-data-scientist


How to apply?

Click on the button to get the company email or employment application form.
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