Cidade : São Paulo, Brasil Estado : São Paulo (BR-SP) Número da Vaga : 45761
Overview
We are seeking a highly motivated and experienced Data Scientist, Manager, with strong expertise in optimization to join our growing team. As Principal Data Scientist, you will be responsible for leading a team of data scientists, engineers, and machine learning engineers in developing and implementing data-driven solutions to business problems. You will also be responsible for working with cross-functional teams to identify and prioritize data analytics initiatives.
Essential Functions
* Design, create, test, and implement complex models and algorithms that drive analytical solutions throughout the organization.
* Lead a team of data specialists.
* Conduct advanced statistical and other analyses to provide actionable insights, identify trends, and measure performance.
* Collaborate with business analysts to understand business problems and implement scalable and sustainable solutions.
* Coordinate with MIS, Digital Specialists, and Data Engineers to deliver holistic analytical solutions.
* Communicate the design, functioning and output of the analytical models/solutions developed.
* Ensure timely analysis and testing for regular maintenance of solutions over time.
* Communicate data insights to stakeholders.
* Establishes and implements organization, function and/or sub-function short to mid-term (1-3 years) strategy. Projects/initiatives lead have impact on business on a domestic or international scale.
* Accountable for the budget, performance and results of a medium-sized team or multiple small teams. Addresses issues with impact beyond own team based on knowledge of related disciplines.
* Responsible for the roadmap execution and adjustment.
* Leads large projects/initiatives; provides leadership and direction through managers, professionals and support. Develops or contributes to the development of short to mid term (1-3 years) talent optimization plans to execute on strategies in the job area.
* Stakeholders include Leadership team members, business leaders as well as technical experts; strong interpersonal and soft skills are important. Tech-savvy and business-savvy understanding of data analytics technologies and application to business problems is required.
Minimum Requirements
Education/Experience
* Well-versed in Data Science models; advanced knowledge in math, analytics and computer science; knowledge of machine learning methods, statistical models, and advanced data science programming.
* Experience delivering designs and algorithms that quantify cross-organization trade-offs.
* Experience in developing others, acting as a technical consultant to product managers, and contributing as an asset to data science projects.
* Domain expert and functional advisor for business stakeholders.
* Handles day-to-day communications with product owners and leads internal meetings; reports on the team’s progress.
* Ability to divide projects into workstreams and delegate tasks to senior data scientists; ensures deliverables meet timelines.
* Understanding of parallelization, scalability, and complexity analysis.
* Proficiency in data science, optimization, machine learning, Python, R, SQL, data analysis, and strong communication skills.
* Ability to translate business problems into advanced analytics approaches including machine learning and optimization components (e.g., constraints, penalties, objective function).
* Develop business awareness of possible use cases and facilitate cross-function communication for data science initiatives.
* Deep understanding of code optimization and library selection.
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