Data Scientist

About us:

Pixis is a US-based codeless technology company that develops accessible AI to empower brands to scale their performance marketing efforts and augment their decision-making seamlessly. Since its inception, Pixis has been on a mission to develop powerful AI infrastructure that equips marketers across countries with robust plug-and-play AI products, 200+ proprietary, self-evolving AI models without having to write a single line of code.

The company has raised a total funding of $209M across Series A, B, C and C1, and is backed by recognized investors including SoftBank Vision Fund 2, Touring Capital, Grupo Carso, General Atlantic, Celesta Capital and Chiratae Ventures.

Our customer base includes global brands such as DHL Express, Joe & The Juice, Claroshop, Allbirds, L'Oreal, HDFC Bank, Skoda, Swiggy, Clar and SmartAsset, to name a few Today Pixis talented and diverse team of 300+ spread across over 14 geographies is focused on building incredibly transformative AI products to help customers get the most out of their marketing and demand generation efforts.

Get ready to embark on an AI venture at https://pixis.ai/

Why Pixis

We at Pixis believe that nothing is impossible, when you fail fast you learn faster, zero hierarchy, put the team above everything else, get constructive feedback that helps you build better products, and disagree if you disbelieve. These values guide us in everything we do, and is reflected in our employees and the products we build together

Key Responsibilities:

Pixis is seeking a talented Data Scientist to join our team and contribute to solving complex analysis problems. As a Data Scientist, you will work with large datasets, conduct analysis, and make business recommendations to stakeholders.

• Work with large complex data sets to solve difficult non-routine analysis problems
• Conduct analysis including data gathering, processing, analysis, and presentations
• Make business recommendations with effective presentations of findings
• Research and develop analysis methods to improve the quality of user-facing products
• Support new data-driven advertising and marketing products
• Combine large-scale experimentation, statistical methods, and machine learning to answer business questions
• Be a strategic thought partner with business stakeholders to define high impact analytical problems
• Develop statistical models explaining key behavioural patterns
• Build dashboards and visualisations for stakeholders to self-serve metrics
• Translate analytic insights into actionable recommendations for business improvement

Requirements & Skills:

• 1-3 years into Data Science.
• Strong statistical knowledge and understanding of predictive modelling
• Basic understanding of experimentation
• Strong SQL skills and experience with distributed analytic processing technologies
• Proficiency in Python
• Ability to engage with diverse stakeholders and cultivate strong partnerships
• Passionate about communicating difficult concepts to non-technical audiences
• Self-starter who thrives under a high level of autonomy