Posted today · be early
Senior Data Scientist (m/f/d)
Kayzen
WorldwideremotePosted today
Skill Required
Data-ScienceData-ScientistMachine-LearningAdTechData-EngineeringSenior-Data-Scientist-IIISenior-Machine-Learning-Data-ScientistSenior-Data-ScienceSenior-Staff-Data-ScientistSenior-Data-Science-EngineerSenior-Data-Scientist-LeadSenior-Data-Science-SpecialistSenior-Data-Science-EngineeringData ScientistMachine LearningStatisticsEngineeringdevelopingObservabilityData StructuresbuildingAirflowTestNGPythonHadoopDockerSparkAPIsSQLandSignal ProcessingFulltime
Key highlights
- Required experience: Minimum 5 years
- Notable requirement: Previous experience in Ad-Tech is a must
- Benefit: 500-dollar home-office setup budget
- Benefit: 1000-dollar annual learning and development budget
- Location: Remote (Europe) with relocation option to Berlin
Role overview
Kayzen is a mobile demand-side platform (DSP) dedicated to democratizing programmatic advertising, enabling apps, agencies, media buyers, and brands to run customer acquisition, retargeting, and brand performance campaigns. With a scale of 160B+ daily ad requests from 1.6B+ unique users worldwide, the company provides bespoke solutions through APIs and a user interface. Kayzen is seeking a Senior Data Scientist to join a diverse and globally distributed Data Science team. The role involves working on machine-learning models that process terabytes of data in real-time to disrupt the multi-billion dollar ad-tech industry.
Responsibilities
- Enhancing Models: Continuously improving existing models by incorporating new features, fine-tuning parameters, and utilizing additional data.
- Algorithm Development: Collaborating with our Machine Learning Engineering team to develop and deploy scalable supervised and unsupervised learning algorithms.
- Data Exploration: Identifying and exploring new data sources while researching innovative ways to leverage both new and existing data effectively.
- Solution Research: Investigating new Machine Learning solutions to optimize every step of our value chain.
- A/B Testing: Regularly conducting and evaluating A/B tests to drive insights and refine our strategies.
Requirements
- Minimum 5 years of experience in developing data science products, from initial research through to production deployment.
- Strong coding skills with a focus on clean, reproducible, and well-tested code.
- Proficient in key tools and technologies including Python, Spark, Hadoop, Airflow, Docker, and SQL.
- Hands-on experience with algorithms for handling sparse and large datasets, including applications in prediction, clustering, and outlier detection.
- Good understanding of dashboards and SQL for developing and enhancing monitoring tools.
- Previous experience in Ad-Tech is a must.
Nice to have
- Experience in building neural network-based products for tasks such as classification, regression, and multi-task learning is highly valuable.
- Knowledge of reinforcement learning and large-scale optimization problems is a significant asset.
Benefits
- Directly working with Founders and an opportunity to drive direct impact
- Exceptional career growth and learning opportunity
- A unique opportunity to be part of an experienced team of industry experts and entrepreneurs who bring massive change to the Adtech market
- A fun, driven, and multinational team located across Germany, India, Argentina, Canada, Spain, the UK and many more countries.
- A flexible work-from-home arrangement
- Opportunity to relocate to our office in Berlin
- A 500-dollar home-office setup budget
- A 1000-dollar annual learning and development budget
Additional details
- Europe, Remote
- The team includes members like Heiko and Chen.
- The company prioritizes 'Simplicity First', 'Impact-Driven' outcomes, 'Collaborative Spirit' across analysts, engineers, and data scientists, and 'Embrace Experimentation'.
- Originally posted on Himalayas
