Data Scientist (AWS Python Snowflake) Budapest to 1.8 million HUF

Opportunity to progress your career in a senior, hands-on Data Scientist role at a "Tech for Good" company that is enabling life changing education to be accessed by millions of students across the globe (currently 22 countries and growing).

What's in it for you:

As a Data Scientist you will receive a competitive package:

• Salary to 1.8 million HUF per month
• 25 days holiday
• Private medical insurance
• Training and certifications

• Perks such as restaurant and retail discounts

Your role:

As a Data Scientist you will lead end-to-end data and Machine Learning activities across a global organization, owning the predictive models that drive Sales and Marketing efficiency. You will build sophisticated commercial data products that integrate tightly with Salesforce (including Agentforce), Snowflake and AWS-native services.

You'll collaborate closely with the business to add value and commercial insights, taking ownership end-to-end, from data ingestion to deployment. You will build scalable ELT/ETL pipelines in Snowflake and AWS (S3, Glue, Lambda, Step Functions) to support your models and put them into production. You will also with Salesforce Intelligence using Salesforce Data Cloud and Agentforce to operationalize models, ensuring insights are delivered directly into the hands of sales reps and marketers via agents or CRM workflows (you can pick this up on the job).

You'll be encouraged to contribute ideas and investigate new and emerging technologies, continually learning and developing your skills.

Location:

 

You'll be based in new state-of-the-art offices in Central Budapest on a fulltime basis and will also collaborate with the London based team.

 

About you:

• You are degree educated in a quantitative field e.g. Statistics, Econometrics, Mathematics, Physics, Computer Science) to Masters or PhD level
• You have strong commercial experience as a Data Scientist in a senior role
• You have experience of building data models for commercial use cases such as lead scoring, ranking, prioritisation, attribution (MTA) or Econometrics (MMM)
• You have strong Snowflake experience, with SQL expertise in performance tuning and data modelling
• You have Python coding skills including Machine Learning libraries (e.g. Scikit-Learn, XGBoost, PyMC)
• You have a strong knowledge of AWS, with experience of building data pipelines using AWS native services
• You're collaborative and pragmatic with great communication skills

Apply now to find out more about this Data Scientist opportunity.