Lead Data Scientist

2 miesięcy temu

Krakow, Polska GPC GLOBAL TECHNOLOGY CENTER Pełny etat

technologies-expected :
Python
SQL
Spark
Google BigQuery
Google Cloud Platform
AWS
Azure DevOps

about-project :
We are seeking an experienced Lead Data Scientist to join our team. The ideal candidate will have a strong background in machine learning, artificial intelligence, and cloud technologies. In this role, you will work closely with cross-functional teams to drive insights and recommendations to inform business decisions.
She/He must exhibit a deep understanding of modern technology stack and agile delivery models, demonstrate the focus on customer experience, and must have a proven record of accomplishment of modern software development and delivering strategic solutions.

responsibilities :
You’ll work on the GPC's Data Science team collaborating with data scientists, AI/ML engineers and product managers to build and augment our AI-driven digital Catalog products. Through your understanding of deep learning, machine learning, linear algebra, probability theory, statistics, and optimization you’ll leverage Python, Scala to perform data exploration and analysis, implement algorithmic solutions given specifications, push solutions to our production environment as well as analyze performance and trade-offs to determine the best solution.
Provide technical leadership and guidance to lead engineers and the technical team within a domain
Reviews business context for solutions to company challenges as well as defining the vision and requirements for the solution, recommending potential options, selecting the most optimal option, and the development of a roadmap for the selected solution.
Understand and follow Agile principles, best-practice software design, participate in code reviews, create a maintainable and well-tested codebase with relevant documentation.
Initiate both group and one-on-one meetings with senior management in order to gain a clear understanding of business drivers and functional requirements
Directs the identification and recommendation of appropriate solutions, upgrades, replacements, or decommissioning options incorporating business and technology productivity, usability, and total cost of ownership.
Communicates the architecture to the stakeholders and collaborates and coordinates with existing domain architects in the formalization and adoption of IT standards and procedures
Provides oversight on delivery to ensure industry best practices, standards, automation, quality, timeliness, operational readiness, continuous improvement and cost-effective solutions.

requirements-expected :
5+ years’ experience in software engineering, Data Science & technology
MS/PhD in Mathematics, Statistics, Operations Research, Industrial Engineering, Physics, Computer Science, or other related fields
Experience designing and developing deep learning, machine learning, optimization, and statistical models.
Strong hands-on programming skills in Python. Knowledge of SQL, Spark/equivalent.
Expertise running queries against data (preferably with Google BigQuery or SQL)
Expertise in Prescriptive Modeling like optimization, computer vision, recommendation, Search or NLP
Demonstrated mastery in predictive modeling, data mining and data analysis.
Demonstrated mastery utilizing statistical techniques to identify key insights that help solve business problems.
Strong analytical thinking and data visualization skills. Ability to creatively solve business problems, innovating new approaches where required and a passion for solving interesting and relevant real-world problems using Data science approach.
Ability to clean, transform, manipulate, and analyze large datasets for insights leading to business process improvements or solution development. Background in handling supply chain data will be preferable but not mandatory.
Experience in designing and running A/B Tests and analyze the Key Metrics
Experience with cloud computing on at-least one of major providers (Google Cloud Platform, AWS or Azure).

benefits :
sharing the costs of sports activities
private medical care
sharing the costs of professional training & courses
life insurance
coffee / tea
meal passes
sharing the commuting costs
extra leave
work in international teams
friendly atmosphere
copyrights for IT roles
hybrid work

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