Data Scientist with English
Data Scientist with English
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Job Description
Are you driven by challenges and excited to work with cuttingedge technologies
Passionate about creating data into powerful strategic insights
Would you like to work with a dynamic and global presence product
Our client an innovative tech startup operating across three dynamic hubsWarsaw Barcelona and Virginia. Expanding their Barcelona team is looking for talented MLOps Engineers to join their missiondriven team.
Join a vibrant Data TechHub where a passionate team of Machine Learning Data Analysts and Data/ML Engineers is ready to innovate and inspire!
Tasks
- Conduct indepth data analysis to uncover trends patterns and insights; solve complex data challenges autonomously
- Develop fullcycle data science solutions from analysis and model development to deployment prioritizing scalability and performance for ad targeting bid optimization and campaign analytics
- Work closely with technical and business teams to translate needs into datadriven solutions focusing on ad effectiveness and return on investment (ROI)
- Maintain and enhance existing data pipelines and machine learning models within adtech ensuring efficiency and responsiveness to market trends
Requirements
- Educational background in Computer Science Statistics Mathematics or similar; Bachelors or Masters degree required
- At least 3 years in data science preferably productoriented with 2 years in AdTech
- Advanced skills in Python and SQL with experience using data manipulation tools like PySpark and Pandas
- Expertise in cloud services (e.g. AWS) and deep neural network (DNN) training libraries (e.g. PyTorch Hydra Comet)
- Strong statistical modeling machine learning and analytical skills for deriving insights from complex data
- Excellent communication and teamwork abilities for crossfunctional collaboration
Benefits
- Competitive salary and performancebased bonuses
- Relocation package (if applicable)
- Comprehensive benefits package
- Opportunities for professional development and support for continuing education
- Flexible work hours and vacation policy
Employment Type
Full Time
