Senior Data Scientist @

You are invited to join our partner's Global Analytics unit which is a global, centralized team with the ambition to strengthen data-driven decision-making and the development of smart data products for day-to-day operations.

Team's essence is an innovative spirit, which permeates throughout the company, nurturing a data-first approach in every facet of the business. From sales and logistics to marketing and purchasing, our smart data products have been pivotal in rapid growth and operational excellence. As team expands its analytics solutions on a global scale, we are on the lookout for an experienced Senior Data Scientist.

The Global Analytics team is a diverse collective of Data Scientists, Data Engineers, Business Intelligence Specialists, and Analytics Translators, with footprints across three continents and five countries. Its ethos revolves around fostering collaboration, driving innovation, and ensuring reliability. Together, we're committed to transforming whole organization into a leader in data-driven decision-making, leveraging global diversity to tackle challenges and create value.

The team has a lot of freedom to shape this, especially in the use of tools and technology, but also by introducing new concepts, solutions and ways of working.

We are searching for a Senior Data Scientist to join existing team of top-class data science specialists responsible for the application of their expertise in machine learning, data mining and information retrieval to design, implement prototypes and build next-generation analytics engines and services.

• MS or PhD in Computer Science / Statistics / Mathematics / Artificial Intelligence / Physics or related technical discipline
• at least 5 years of experience in a statistical and/or data science role
• knowledge of machine learning, statistics, simulation, optimization or related fields
• fluency in applying Data Science methods (including ML) while solving business optimization problems
• fluent ability to program with Python
• strong software engineering skills (including unit testing, OOP)
• thorough knowledge of the NumFOCUS stack: pandas, scikit-learn, Matplotlib, SciPy
• experience with working with large data sets
• experience with versioning systems (e. g. Git)
• knowledge of basic DevOps tools and methods such as Docker, Kubernetes, CI/CD pipelines
• experience in deploying to production and ability to plan a product including broader technical landscape (ability to design and deliver product following modular approach)
• experience working in a start-up environment or organizations with the agile culture
• professional attitude and service orientation
• team player
• ability to work autonomously to deliver complex projects
• fluent English as you will communicate in English almost all the time
• experience with Azure stack would be a plus

You are invited to join our partner's Global Analytics unit which is a global, centralized team with the ambition to strengthen data-driven decision-making and the development of smart data products for day-to-day operations.

Team's essence is an innovative spirit, which permeates throughout the company, nurturing a data-first approach in every facet of the business. From sales and logistics to marketing and purchasing, our smart data products have been pivotal in rapid growth and operational excellence. As team expands its analytics solutions on a global scale, we are on the lookout for an experienced Senior Data Scientist.

The Global Analytics team is a diverse collective of Data Scientists, Data Engineers, Business Intelligence Specialists, and Analytics Translators, with footprints across three continents and five countries. Its ethos revolves around fostering collaboration, driving innovation, and ensuring reliability. Together, we're committed to transforming whole organization into a leader in data-driven decision-making, leveraging global diversity to tackle challenges and create value.

The team has a lot of freedom to shape this, especially in the use of tools and technology, but also by introducing new concepts, solutions and ways of working.

We are searching for a Senior Data Scientist to join existing team of top-class data science specialists responsible for the application of their expertise in machine learning, data mining and information retrieval to design, implement prototypes and build next-generation analytics engines and services.

, [understanding business problems and designing smart data products, developing complex models and algorithms that drive innovation throughout the organization , conducting advanced statistical analysis to provide actionable insights, identify trends and measure performance, cooperating with data engineers to implement and deploy scalable solutions, cooperating well with business to unpack ambiguous projects into clear requirements] Requirements: Python, Machine Learning, Data science, Statistics, scikit-learn, pandas, Matplotlib, SciPy, Docker, Kubernetes, Azure Tools: Agile, Scrum. Additionally: Sport subscription, Private healthcare, Training budget, International projects, Free coffee, Bike parking, Shower, Free beverages, Modern office, No dress code. Senior Data Scientist @ hubQuest
Warszawa
Warsaw, Masovian Voivodeship, Polska

You are invited to join our partner's Global Analytics unit which is a global, centralized team with the ambition to strengthen data-driven decision-making and the development of smart data products for day-to-day operations.

Team's essence is an innovative spirit, which permeates throughout the company, nurturing a data-first approach in every facet of the business. From sales and logistics to marketing and purchasing, our smart data products have been pivotal in rapid growth and operational excellence. As team expands its analytics solutions on a global scale, we are on the lookout for an experienced Senior Data Scientist.

The Global Analytics team is a diverse collective of Data Scientists, Data Engineers, Business Intelligence Specialists, and Analytics Translators, with footprints across three continents and five countries. Its ethos revolves around fostering collaboration, driving innovation, and ensuring reliability. Together, we're committed to transforming whole organization into a leader in data-driven decision-making, leveraging global diversity to tackle challenges and create value.

The team has a lot of freedom to shape this, especially in the use of tools and technology, but also by introducing new concepts, solutions and ways of working.

We are searching for a Senior Data Scientist to join existing team of top-class data science specialists responsible for the application of their expertise in machine learning, data mining and information retrieval to design, implement prototypes and build next-generation analytics engines and services.

We expect:

• MS or PhD in Computer Science / Statistics / Mathematics / Artificial Intelligence / Physics or related technical discipline
• at least 5 years of experience in a statistical and/or data science role
• knowledge of machine learning, statistics, simulation, optimization or related fields
• fluency in applying Data Science methods (including ML) while solving business optimization problems
• fluent ability to program with Python
• strong software engineering skills (including unit testing, OOP)
• thorough knowledge of the NumFOCUS stack: pandas, scikit-learn, Matplotlib, SciPy
• experience with working with large data sets
• experience with versioning systems (e. g. Git)
• knowledge of basic DevOps tools and methods such as Docker, Kubernetes, CI/CD pipelines
• experience in deploying to production and ability to plan a product including broader technical landscape (ability to design and deliver product following modular approach)
• experience working in a start-up environment or organizations with the agile culture
• professional attitude and service orientation
• team player
• ability to work autonomously to deliver complex projects
• fluent English as you will communicate in English almost all the time
• experience with Azure stack would be a plus

You are invited to join our partner's Global Analytics unit which is a global, centralized team with the ambition to strengthen data-driven decision-making and the development of smart data products for day-to-day operations.

Team's essence is an innovative spirit, which permeates throughout the company, nurturing a data-first approach in every facet of the business. From sales and logistics to marketing and purchasing, our smart data products have been pivotal in rapid growth and operational excellence. As team expands its analytics solutions on a global scale, we are on the lookout for an experienced Senior Data Scientist.

The Global Analytics team is a diverse collective of Data Scientists, Data Engineers, Business Intelligence Specialists, and Analytics Translators, with footprints across three continents and five countries. Its ethos revolves around fostering collaboration, driving innovation, and ensuring reliability. Together, we're committed to transforming whole organization into a leader in data-driven decision-making, leveraging global diversity to tackle challenges and create value.

The team has a lot of freedom to shape this, especially in the use of tools and technology, but also by introducing new concepts, solutions and ways of working.

We are searching for a Senior Data Scientist to join existing team of top-class data science specialists responsible for the application of their expertise in machine learning, data mining and information retrieval to design, implement prototypes and build next-generation analytics engines and services.

, [understanding business problems and designing smart data products, developing complex models and algorithms that drive innovation throughout the organization , conducting advanced statistical analysis to provide actionable insights, identify trends and measure performance, cooperating with data engineers to implement and deploy scalable solutions, cooperating well with business to unpack ambiguous projects into clear requirements] Requirements: Python, Machine Learning, Data science, Statistics, scikit-learn, pandas, Matplotlib, SciPy, Docker, Kubernetes, Azure Tools: Agile, Scrum. Additionally: Sport subscription, Private healthcare, Training budget, International projects, Free coffee, Bike parking, Shower, Free beverages, Modern office, No dress code.

Firma: hubQuest

Dodano:
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