Data Scientist


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Posted 4 weeks ago

Auth0 is a unicorn that just closed a $120M Series F round of funding, with total capital raised to date of $330M and valuation of nearly $2B. We are growing rapidly and looking for exceptional new team members to add to our exceptional talent pool - and who will help take us to the next level of success. One team, one score. 
Our vision is to provide people with secure access to any application in one click or less. And our promise is to make identity work for everyone—whether you’re a developer looking to innovate, or a security professional looking to mitigate. We are looking for curious, excited, boundary-pushing team members. So, if you’re a big thinker who is nimble and adaptable, Auth0 may be an ideal place for you to shine.
The Data Scientist will help build, scale and maintain the entire data science platform. The ideal candidate will have a deep technical understanding, hands-on experience in building Machine Learning models coming up with valuable insights, and promoting a data-driven culture across the organization. They would not hesitate to wrangle data, understand the business objectives and have a good understanding of the entire data stack.
This position plays a key role in data initiatives, analytics projects, and influencing key stakeholders with critical business insights. You should be passionate for continuous learning, experimenting, applying and contributing towards cutting edge open source Data Science technologies.


  • Use Python and the vast array of AI/ML libraries to analyze data and build statistical models to solve specific business problems.
  • Improve upon existing methodologies by identifying new data sources, testing model enhancements, and fine-tuning model parameters.
  • Collaborate with researchers, software developers, and business leaders to define product requirements and provide analytical support.
  • Directly contribute to the design and development of automated selection systems.
  • Track the performance of and maintain models once they are deployed into production.
  • Communicate verbally and in writing to business customers and leadership team with various levels of technical knowledge, educating them about our systems, as well as sharing insights and recommendations.
  • This role will focus specifically on initiatives for the Growth Marketing team. This may include work on projects such as Market Basket Analysis, Recommendation Engines, Lead Scoring, Lead Segmentation/Clustering, Optimization of Advertisement Spending, User Path Modeling, etc.

Skills and Abilities:

  • At least 3 years of relevant work experienceAbility to write, analyze, and debug SQL queries.
  • Exceptional Problem-solving and analytical skills.
  • Fluent in implementing logistic regression, random forest, XGBoost, bayesian and ARIMA in Python/R
  • Familiarity or experience with A/B testing and associated frameworks
  • Familiarity with Sentiment Analysis (NLP) and LSTM AI modelsExperience in full AI/ML life-cycle from model development, training, deployment, testing, refining and iterating.
  • Experience with or willingness to learn tools such as Tableau, Apache SuperSet, Looker or similar BI tools.
  • Knowledge of AWS Redshift, Snowflake or similar databasesFamiliarity with tools such as Airflow and Docker are a plus

Basic Qualifications:

  • Bachelor's degree in Statistics, Applied Math, Operations Research, Engineering, Computer Science, or a related quantitative field.
  • Proficient with data analysis and modeling software such as Spark, R, Python etc.
  • Proficient with using scripting language such as Python and data manipulation/analysis libraries such as Scikit-learn and Pandas.
  • Experienced in using a wide array of Machine Learning models to solve complex business problems.
  • Experienced in handling large data sets using SQL and databases in a business environment.
  • Excellent verbal and written communication.
  • Strong troubleshooting and problem-solving skills.
  • Thrive in a fast-paced, innovative environment.

Preferred Qualifications:

  • Graduated with a Master's degree or PhD in Statistics, Applied Math, Operations Research, Engineering, Computer Science, or a related quantitative field.
  • 2+ years’ experience as a Data Scientist.
  • Fluency in Python (or the ability to pick it up quickly)· Superior verbal and written communication skills with the ability to effectively advocate technical solutions to scientists, engineering teams, and business audiences.
  • Experienced in writing academic-styled papers for presenting both the methodologies used and results for data science projects.
  • Demonstrable track record of dealing well with ambiguity, ability to self-motivate, prioritizing needs, and delivering results in a dynamic environment.
  • Combination of deep technical skills and business savvy to interface with all levels and disciplines within our and our customer’s organizations.

Preferred Locations:

  • #US
Auth0 safeguards more than 4.5 billion login transactions each month and its top priorities are availability and security.
We like to think that we are helping make the internet safer. Our team is spread across more than 35 countries and we are proud to continually be recognized as a great place to work. Culture is critical to us, and we are transparent about our vision and principles
Auth0 is an Equal Employment Opportunity employer. Auth0 conducts all employment-related activities without regard to race, religion, color, national origin, age, sex, marital status, sexual orientation, disability, citizenship status, genetics, or status as a Vietnam-era special disabled and other covered veteran status, or any other characteristic protected by law. Auth0 participates in E-Verify and will confirm work authorization for candidates residing in the United States.
Job tags: AI Airflow AWS Engineering Looker Machine Learning Marketing ML NLP Open Source Pandas Python R Redshift Research Scikit-Learn Security Spark SQL Tableau XGBoost