Data Scientist
Primary stack
Job description
About the Position
Join our team as a Senior Data Scientist, leveraging machine learning and data analysis to drive insights and innovation.
Responsibilities
- Conducting data-driven analyses and reports in cooperation with ETL experts; applying qualitative and quantitative data analysis methods; preparing statistical and non-statistical data exploration
- Acting as a liaison between technical developers and business users to provide model tuning support
- Applying statistical methods to organize, analyze, and interpret data
- Implementing machine learning algorithms to build propensity models
Requirements
- Degree or specialization in Technical Science/Mathematics/Statistics/Quantitative Methods
- Programming and statistical/data analytical skills (hands-on experience in Python, PySpark, Kubeflow, Machine Learning, Deep Learning, Computer Vision, AI)
- Basic knowledge of database design and data architecture
- Basic experience in cloud computing
- Basic experience in data mining
We Offer
- 100% remote work with the possibility to use office in Warsaw
- Flexible working hours
- Company events
- Money return for passed certifications
- Opportunity to take advantage of Microsoft Azure and Google Cloud Platform training package available only for partners of these providers
- Possibility to use in-house incubator for development of own ventures
- A supportive community with 50+ consultants with 10+ years’ experience in Data Warehouse and Big Data
- And much more!
About the Company
CAREERS
Data Scientist
Senior
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FMCG,Retail,E-commerce,Healthcare,Telco,Finance,Logistics
About the Company DS Stream is a fast-growing AI & Data consulting company focused on analytics and data management for global brands. The company employs a team of over 200 senior experts who specialize in Data Science, Machine Learning, and MLOps. Their mission is to transform know-how into effective architectures for their clients. Products, Services & Tech Stack Core Solutions Data Engineering: Transforming disparate data into valuable insights for informed business decisions. AI Engineering: Providing modern AI technologies and custom AI tools to support AI-driven business decisions. MLOps: Integrating ML technologies with DevOps practices to automate Machine Learning workflows and improve efficiency. Technologies & Frameworks Specific platforms, languages, or tools are not mentioned in the provided text. Project Scope & Target Clients Client Base Industries Served: FMCG, retail, e-commerce, healthcare, telco, finance, logistics, and more. Engineering Scale The company delivers tailored and complex data analytics for global corporations. Projects include real-time intelligence for the longevity ecosystem, category management for FMCG, and sales automation for resort packages.