twiceasnice Recruiting


[REMOTE] Data Scientist - (2+ yrs of statistics & R programming exp. req.)

Data science

Full Time

Texas, US

Posted a week ago

About the Job

Salary - $110000 - $140000/Year

[Remote] Data Scientist
Location: United States
Salary: $110,000-$140,000 + Bonus + Benefits
Benefits: Medical, Dental, Vision, 401k, Holidays, Unlimited PTO
Job Type: Full-Time
Start Date: ASAP
Sponsorship is not available

About our Client

Do you want to work for a company that was named one of the 10 Most Innovative Companies in Sports twice? What about a company that was named one of the 50 Most Innovative Companies in the world? How about a company that has a 4.9 employee rating on Glassdoor? Or a company that is co-owned by the NFL with professional sports teams as clients? The good news is our client is all of these and the better news is, they are hiring.

[Remote] Data Scientist Description

Our client is looking for a Data Scientist to join their team in the United States. You will be responsible for combining a wide range of statistical techniques with an agile software development approach to create market-leading optimization and business/financial recommendations to their customers. You will be solving problems centered around pricing and will use algorithmic approaches around numbers. So, a background in economics or frankly just an interest, will give you a step up. To be chosen for this role, you must have a wealth of exposure to various statistical techniques with the ability to simplify and explain complex analyses to non-technical internal and external clients. Because our client is product-centered, they need someone who will find a way to work through it rather than diving into the product and getting lost. They are looking for someone who will think through real life models and find a solution depending on what model makes sense. Being able to say, “I get the real-life model, and now I need to find a way to manage that statistically.” You’ll be producing an algorithm that will stand up to the real world without someone sitting there behind the curtain analyzing it. If you would be excited to have your work be used without any human intervention, this is your chance to join a truly exciting company that have been trailblazers in their industry.

[Remote] Data Scientist Responsibilities

  • Design and test statistical techniques for a wide variety of research questions
  • Design, write, and debug software implementing statistical techniques
  • Perform rigorous statistical analyses on unique research questions
  • Create reports using presentation and charting software
  • Communicate the results of statistical analyses to product and development teams

[Remote] Data Scientist Qualifications

  • 2+ years of statistics and machine learning experience required
  • Exposure to R and strong hands-on coding experience required
  • Ability to understand and use statistical techniques, such as GLMs (logit, Poisson, hierarchical etc.), Bayesian inference, clustering analysis, principal component analysis, etc.

About #twiceasnice Recruiting

Across industries, roles, and North America, we help clients quickly attract top talent with custom-built searches. With the lowest fee in the industry, the longest guarantee, and commission-free senior recruiters - we align our interests with the long-term success of every placement.

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Job Type: Full-time

Pay: $110,000.00 - $140,000.00 per year


  • 401(k)
  • Dental insurance
  • Health insurance
  • Paid time off
  • Vision insurance

Supplemental Pay:

  • Bonus pay

Application Question(s):

  • What city and state are you located in?
  • You’ll be working with relatively smaller data. If you are looking for more of a Facebook size data sets, this may not be the right fit. Are you looking for an opportunity where you will mostly be working with Big Data?
  • What is your desired on target earnings?


  • Bachelor's (Preferred)


  • statistics: 2 years (Required)
  • machine learning: 2 years (Required)
  • programming in R: 1 year (Required)
  • hands-on coding: 1 year (Required)
  • applying linear regression algorithms: 1 year (Required)
  • SDLC and/or product management: 1 year (Required)
  • acceptance criteria: 1 year (Preferred)
  • LaTex: 1 year (Preferred)
  • applying the Bayesian inference method: 1 year (Preferred)
  • creating packages: 1 year (Preferred)

Work Location: Multiple Locations

Posted a week ago

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