Babbel

Technology, Information and Internet

501-1000

Germany

**We are looking for a Data Scientist for our Experimentation Team in Berlin.** 

You will work in a cross-functional central data team that owns our Experimentation Platform, participate in the development of the platform as well as working closely with product analysts and product managers to optimize our product and features through experimentation, research, and data analysis.

## You will:

* Collaborate with cross-functional teams to design, run, analyze, and gather insights from randomized experiments (e.g. A/B tests) using our Statsig platform (70-80% of time initially)
* Consult on the development of new revenue models (e.g. Customer Lifetime Value, Churn prediction, Upgrade recommendations)
* Develop and maintain data pipelines, tools, and dashboards to improve our experimentation capabilities
* Provide guidance to analysts on statistical methodology, test design, and using our experimentation platform (Statsig) effectively
* Promote best practices for experimentation across the organization
* Conduct research and analyses to directly inform product strategy and roadmap
* Leverage techniques like meta-analyses, causal inference, and exploring heterogeneous treatment effects to answer key business questions
* Contribute to insights and findings for our product knowledge base
* Manage our core metric framework

## You have:

* Degree in Statistics, Computer Science, Economics, or a related quantitative field
* 3+ years experience conducting data science projects, ideally including A/B tests and experimentation related topics
* Proficiency with statistical analysis, experimental design, and tools like Experimentation Platforms (in-house or third party), Python, SQL, etc.
* Experience with version control systems and shared code repositories (i.e. Git/Github)
* Experience with predictive modeling in a business context
* Ability to communicate complex analyses to non-technical stakeholders
* Passion for collaborating cross-functionally to optimize products and experiences
* Experience guiding more junior data scientists / analysts

## Nice to have:

* Experience with revenue models (e.g. Customer Lifetime Value, Churn prediction, Upgrade recommendations)

**_Diversity at Babbel_**

_As part of our ongoing journey towards building a diverse, equitable and inclusive company, we welcome everyone to apply, especially those individuals who are underrepresented in tech. We are a learning company, inside and out, and we encourage you to apply even if you do not fit all the technical requirements - all candidates are assessed based on skills, qualifications and on our business needs. Please state your pronouns in your application, and let us know if you’d like to be addressed by a name other than the one appearing on your official documents. If you have a disability or special need, feel welcome to inform us, so that we can provide you with the proper assistance in the application process._

Employee

<p><strong>We are looking for a Data Scientist for our Experimentation Team in Berlin.</strong> </p>
<p>You will work in a cross-functional central data team that owns our Experimentation Platform, participate in the development of the platform as well as working closely with product analysts and product managers to optimize our product and features through experimentation, research, and data analysis.</p>
<h2 id="you-will">You will:</h2>
<ul>
<li>Collaborate with cross-functional teams to design, run, analyze, and gather insights from randomized experiments (e.g. A/B tests) using our Statsig platform (70-80% of time initially)</li>
<li>Consult on the development of new revenue models (e.g. Customer Lifetime Value, Churn prediction, Upgrade recommendations)</li>
<li>Develop and maintain data pipelines, tools, and dashboards to improve our experimentation capabilities</li>
<li>Provide guidance to analysts on statistical methodology, test design, and using our experimentation platform (Statsig) effectively</li>
<li>Promote best practices for experimentation across the organization</li>
<li>Conduct research and analyses to directly inform product strategy and roadmap</li>
<li>Leverage techniques like meta-analyses, causal inference, and exploring heterogeneous treatment effects to answer key business questions</li>
<li>Contribute to insights and findings for our product knowledge base</li>
<li>Manage our core metric framework</li>
</ul>
<h2 id="you-have">You have:</h2>
<ul>
<li>Degree in Statistics, Computer Science, Economics, or a related quantitative field</li>
<li>3+ years experience conducting data science projects, ideally including A/B tests and experimentation related topics</li>
<li>Proficiency with statistical analysis, experimental design, and tools like Experimentation Platforms (in-house or third party), Python, SQL, etc.</li>
<li>Experience with version control systems and shared code repositories (i.e. Git/Github)</li>
<li>Experience with predictive modeling in a business context</li>
<li>Ability to communicate complex analyses to non-technical stakeholders</li>
<li>Passion for collaborating cross-functionally to optimize products and experiences</li>
<li>Experience guiding more junior data scientists / analysts</li>
</ul>
<h2 id="nice-to-have">Nice to have:</h2>
<ul>
<li>Experience with revenue models (e.g. Customer Lifetime Value, Churn prediction, Upgrade recommendations)</li>
</ul>
<p><strong><em>Diversity at Babbel</em></strong></p>
<p><em>As part of our ongoing journey towards building a diverse, equitable and inclusive company, we welcome everyone to apply, especially those individuals who are underrepresented in tech. We are a learning company, inside and out, and we encourage you to apply even if you do not fit all the technical requirements - all candidates are assessed based on skills, qualifications and on our business needs. Please state your pronouns in your application, and let us know if you’d like to be addressed by a name other than the one appearing on your official documents. If you have a disability or special need, feel welcome to inform us, so that we can provide you with the proper assistance in the application process.</em></p>


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