Customer service is broken — stuck in a time warp. As everything has evolved around it, the technology available to support the way businesses engage with customers has mostly stood still. The tools we have on the phones in our pockets are wildly superior to what’s available to us when we engage with our favorite brands. The truth that no one wants to say out loud is that Big Tech has held the customer experience hostage for decades with its giant servers, complex implementations, buried software and expensive contracts. And that’s just not ok with us. So we founded Edify and built Huddle to seize the opportunity in the void. With customer experience being the final frontier in winning the hearts and dollars of consumers long-term, the brands who prevail are going to be the ones who have tools to do what no one else can. At last, there’s a more predictable, reliable, cost-effective, transparent, full-featured, cloud-native, easy-to-get-and-use, intuitive, accessible, genius single piece of software that’s changing everything.The time for employees to love work, and customers to love companies is here. And finally, so are the tools. We are Edify. And we’re customers, too. We are looking for a Data Scientist to join our quickly growing team at Edify! The purpose of the Data Scientist is to analyze and derive information from our consumer data to drive business decisions. The Data Scientist will be working closely with different departments to help build the best product at Edify! If you have a passion for SaaS, a start-up mentality and disrupting the norm, Edify may be the place for you! Responsibilities<ul>
<li style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: &quot;Helvetica Neue&quot;;">Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.</li>
<li style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: &quot;Helvetica Neue&quot;;">Build advanced machine learning models implementing end-to-end algorithmic solutions.</li>
<li style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: &quot;Helvetica Neue&quot;;">Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.</li>
<li style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: &quot;Helvetica Neue&quot;;">Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.</li>
<li style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: &quot;Helvetica Neue&quot;;">Develop processes and tools to monitor and analyze model performance and data accuracy.</li>
<li style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: &quot;Helvetica Neue&quot;;">Carry out independent research and innovation in new content.</li>
</ul>&nbsp;Qualifications<ul>
<li style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: &quot;Helvetica Neue&quot;;">Degree in quantitative field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research or other related field).</li>
<li style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: &quot;Helvetica Neue&quot;;">3+ years of industry or graduate research experience solving analytical problems and building models using quantitative, statistical or machine learning approaches.</li>
<li style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: &quot;Helvetica Neue&quot;;">Experience with Machine Learning, Statistics, or other data analysis tools.</li>
<li style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: &quot;Helvetica Neue&quot;;">MySQL Expertise.</li>
<li style="margin: 0px; font-stretch: normal; font-size: 12px; line-height: normal; font-family: &quot;Helvetica Neue&quot;;">Experience performing data extraction, cleaning, analysis and presentation of large datasets.</li>
</ul> At Edify, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or other class protected by applicable law.&nbsp; We are proud to be an equal opportunity workplace.

Customer service is broken — stuck in a time warp. As everything has evolved
around it, the technology available to support the way businesses engage with
customers has mostly stood still. The tools we have on the phones in our
pockets are wildly superior to what’s available to us when we engage with our
favorite brands. The truth that no one wants to say out loud is that Big Tech
has held the customer experience hostage for decades with its giant servers,
complex implementations, buried software and expensive contracts. And that’s
just not ok with us.

  

So we founded Edify and built Huddle to seize the opportunity in the void.
With customer experience being the final frontier in winning the hearts and
dollars of consumers long-term, the brands who prevail are going to be the
ones who have tools to do what no one else can. At last, there’s a more
predictable, reliable, cost-effective, transparent, full-featured, cloud-
native, easy-to-get-and-use, intuitive, accessible, genius single piece of
software that’s changing everything.The time for employees to love work, and
customers to love companies is here. And finally, so are the tools.

  

We are Edify. And we’re customers, too.

  

We are looking for a Data Scientist to join our quickly growing team at Edify!
The purpose of the Data Scientist is to analyze and derive information from
our consumer data to drive business decisions. The Data Scientist will be
working closely with different departments to help build the best product at
Edify! If you have a passion for SaaS, a start-up mentality and disrupting the
norm, Edify may be the place for you!

  

 **Responsibilities**

  * Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
  * Build advanced machine learning models implementing end-to-end algorithmic solutions.
  * Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
  * Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
  * Develop processes and tools to monitor and analyze model performance and data accuracy.
  * Carry out independent research and innovation in new content.

** **

 **Qualifications**

  * Degree in quantitative field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research or other related field).
  * 3+ years of industry or graduate research experience solving analytical problems and building models using quantitative, statistical or machine learning approaches.
  * Experience with Machine Learning, Statistics, or other data analysis tools.
  * MySQL Expertise.
  * Experience performing data extraction, cleaning, analysis and presentation of large datasets.

  

_At Edify, we are committed to equal employment opportunity regardless of
race, color, ethnicity, ancestry, religion, national origin, gender, sex,
gender identity or expression, sexual orientation, age, citizenship, marital
or parental status, disability, veteran status, or other class protected by
applicable law.  _

 __  

 _We are proud to be an equal opportunity workplace._

