We are searching for a smart and well organised Data Scientist – Product Intelligence, with English language skills to join our fantastic team.

About Igniter Ads

Driven by our team of over 20 people from more than 2 different countries, IgniterAds is changing the way we advertise across the net.

We are now looking for the next great addition to our team as a Data Scientist.

You are a creative thinker and data guru who can drive great customer experience through data-driven insights and personalisation.

Your tasks:

• Collaborate closely with the Product team to develop a customer-driven and data-driven strategy to drive product evolution
• Perform statistical analyses – including A/B tests and pre/post analyses – on feature usage to advise on feature adoption and evolution
• Develop customer segmentations and path analyses to drive feature evolution and web/app personalisation
• Develop insights and predictive models on key KPIs such as Retention and CLV
• Prototype data-driven features based on insights and/or machine learning models
• Generate tactical insights from analytics and visualisation to drive product strategy
• Act as an advocate of our company’s data-driven culture: produce reports that are actionable, dashboards that are diagnostic, and recommendations that drive growth

Your Profile:

• You proactively take action, drive toward clarity, and think holistically
• You thrive in a diverse, interdisciplinary environment
• You possess exceptional communication and interpersonal skills, enabling effective collaboration with business and technical stakeholders
• You have a scientific mindset; backed by solid analytical problem solving skills, strong attention to detail, and a mild obsession with data accuracy
• You enjoy informing, influencing, and shaping product decisions with data
• You are proficient in SQL with an understanding of database management
• You have development experience in either Python or R
• You have experience with reporting tools such as Tableau or Excel
• You are grounded in Statistics
• You have strong experience with econometrics, data mining, and/or machine learning
• You have experience in one of – product analytics, customer analytics, marketing analytics, recommendation systems – in an e-commerce environment
• 3+ years non-academic experience in data science