Algorithms Analyst
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Job Description
Realize your potential by joining the leading performance-driven advertising company!
As a Data Analyst in Algorithm Group you will use diverse data science methodologies to improve assess and contribute to the advancement of Taboolas algorithms.
To thrive in this role youll need:
- Exceptional ability to understand data and to transform it into insights
- BA/BSc or equivalent related experience in statistics data analysis data mining. MSC - an advantage
- 3 years experience working in a Data Science / Data Analysis / Product Analysis / BI position in a high data-rich environment
- Proven experience in SQL preferably using big-data database such as Google BigQuery
- Coding experience in Python
- Familiarity with statistical modeling and analysis techniques (familiarity with data driven experimentation theory techniques and tools - strong advantage)
- Familiarity with Machine learning concepts and techniques
- Fast learning capabilities and proven ability to multitask working on several projects at a time
- Curious with a strong desire to learn and master new tools and technologies.
- Strong communication skills to be able to present insights and ideas and excellent English required to communicate with our global teams
Bonus points if you have:
- Experience in software development / background in computer science an advantage
- Experience in internet/mobile companies an advantage
- Experience with BI tools (Tableau or Qlik) an advantage
- Experience in reviewing data-science related articles and converting them into practical research or working products an advantage
How youll make an impact:
As a Data Analyst in Algorithm Group youll bring value by:
- Analyze big data and generate useful conclusions and actionable recommendations driving our algorithm development and business efforts forward
- Research and develop new metrics and KPIs to evaluate our product and systems performance
- Define and implement advanced analysis tools using a variety of means such as Python notebooks Tableau and Grafana
- Devise new approaches of data analytics and in-depth statistical analysis while dealing with issues never dealt with before
- Own and manage multiple data initiatives and projects both on an ongoing and an ad-hoc basis
Why Taboola
If you ask Taboolars what they love about working here theyll tell you that theyve been empowered to realize their full potential while growing and learning from and with smart and talented people. Theyll also share more about:
- Adam Singolda Taboola Founder and CEO says; You can copy anything from another business but you cant copy a companys culture.
- Well-being: Enjoy comprehensive benefits (health 401k etc.) a fully stocked kitchen and location-specific perks (gym partnerships parking).
- Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
- Work with some of the biggest names: We work with some of the biggest names in the business. Our publisher partners include Yahoo Conde Nast Fox Sports NBCU ESPN CBS and E! Online. Our advertiser clients include Wells Fargo Honda Pinterest Expedia and Honda.
Ready to realize your potential
Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications merit and business need.-
Learn more about #TaboolaLife on LinkedIn Facebook Instagram X YouTube & the Taboola Life Blog.
About Taboola
Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.
Taboola works with thousands of businesses who advertise directly on Realize Taboolas powerful ad platform reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News Yahoo and OEMs such as Samsung Xiaomi and others use Taboolas technology to grow audience and revenue enabling Realize to offer unique data specialized algorithms and unmatched scale.
#LI-Hybrid
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Required Experience:
IC
Employment Type
Full Time
