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Gradient Metrics


๐ŸŒ Probably worldwide
๐Ÿ’ฐ $68k - $110k*

Data Science

 

Cloud

 

Marketing

Non Tech

Gradient Metrics

๐Ÿ‘€ 2,578 views

โœ… 183 applied (7%)

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This job post is closed and the position is probably filled. Please do not apply. Work for Gradient Metrics and want to re-open this job? Use the edit link in the email when you posted the job! ๐Ÿค– Closed by robot after apply link errored w/ code 404 2 years ago


\nAre 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.\n\nWhat is Gradient Metrics?\n\nWe’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.\n\nWe 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.\n\nThere 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.\n\nWhat We're Looking for: Data Scientist\n\nWe are looking for a data scientist who is highly proficient in R (actually, lives and breaths R) and wants to be a part of a research team that helps clients make difficult decisions and automate our research capabilities.\n\nThis role consists of three primary domains:\n\n* Building, improving and maintaining our internal R infrastructure, which currently includes 10+ packages that are always under active development\n\n* Executing and interpreting data analyses (using the functions and packages that you’ve built yourself!) to advise our research managers\n\n* Includes (survey) data processing, tidying, reshaping and visualising\n\n\n\n\n* Developing and building new research models, grounded in statistical best practices, along with being able to explain them to members of our research team\n\n\n\nThe skill set for this role should include:\n\n\n* Analyzing (survey) data in R\n\n\n* Highly fluent in tidyverse: dplyr, tidyr, haven, purrr\n\n\n* Able to transform wide format into long format and vice versa\n\n* Able to join datasets together with the appropriate type of join\n\n* Able to group, filter and summarize data\n\n* Able to work with (nested) lists and the purrr function family\n\n* Able to work with strings and regex patterns\n\n\n\n\n\n* Able to work with metadata (e.g. column labels, data recoding)\n\n* Ability to judge data and respondent quality\n\n\n\n\n\n* R software development\n\n\n* Driving internal code development\n\n\n* Writing clean, properly formatted and commented code\n\n* Delivering code with tests and examples\n\n* Providing extensive documentation in the form of vignettes\n\n* Packaging code and automating checks with CI solutions\n\n\n\n\n\n* Experience with git\n\n* Constantly willing to learn and stay up to date with latest developments in R\n\n\n\n\n\n* Statistical inference:\n\n\n* Experience with the creation of classification, regression and clustering models\n\n* Experience with the GLM family (gaussian, poisson, binomial, survival, and ordinal models) as well as hierarchical models\n\n* Ability to explain and synthesize the results of statistical models to a non-statistician\n\n\n\n\n\n* Visualization:\n\n\n* Deep familiarity and expertise in the ggplot2 library\n\n* Able to produce visually appealing and effective plots\n\n\n\n\n\n\n\n\nNice to have:\n\n\n* Familiarity with designing and analyzing survey experiments, including but not limited to:\n\n\n* Discrete choice experiments (e.g., conjoint, MaxDiff)\n\n* Randomized control trials\n\n* Message and persuasion testing\n\n\n\n\n\n* Familiarity with survey design platforms (e.g., Qualtrics)\n\n* Experience in creating and working with APIs\n\n* Experience with AWS cloud computing provider\n\n\n\n\nEmployment conditions\n\nBased anywhere, working hours in EU or North American time zones (ET +- 6 hours).\n\n\n* Comfortable with permanent remote arrangement\n\n* Open to a 90 day trial period\n\n* Competitive salary, depending on location and experience\n\n* Flexible working hours\n\n* Lean SCRUM points system\n\n* Unlimited days off\n\n* Spoken and written language: English\n\n* Bi-annual live meet-up trips with the entire team\n\n\n* We’ve already visited New York, Paris and the Rocky Mountains! Maybe your home town can be next, if you can convince us of how awesome it is\n\n\n\n\n\n\n\n\nWhy we think we’re special\n\nGradient 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.\n\nYou’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. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Data Science, Cloud, Marketing and Non Tech jobs that are similar:\n\n $67,500 — $110,000/year\n
\n\n#Benefits\n ๐Ÿ’ฐ 401(k)\n\n๐ŸŒŽ Distributed team\n\nโฐ Async\n\n๐Ÿค“ Vision insurance\n\n๐Ÿฆท Dental insurance\n\n๐Ÿš‘ Medical insurance\n\n๐Ÿ– Unlimited vacation\n\n๐Ÿ– Paid time off\n\n๐Ÿ“† 4 day workweek\n\n๐Ÿ’ฐ 401k matching\n\n๐Ÿ” Company retreats\n\n๐Ÿฌ Coworking budget\n\n๐Ÿ“š Learning budget\n\n๐Ÿ’ช Free gym membership\n\n๐Ÿง˜ Mental wellness budget\n\n๐Ÿ–ฅ Home office budget\n\n๐Ÿฅง Pay in crypto\n\n๐Ÿฅธ Pseudonymous\n\n๐Ÿ’ฐ Profit sharing\n\n๐Ÿ’ฐ Equity compensation\n\nโฌœ๏ธ No whiteboard interview\n\n๐Ÿ‘€ No monitoring system\n\n๐Ÿšซ No politics at work\n\n๐ŸŽ… We hire old (and young)\n\n
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
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