Senior Data Scientist –

Titulo da Vaga: Senior Data Scientist

Localização: Porto Alegre – RS

Descrição da Vaga: Detalhes da VagaEscolaridade Não InformadoSegmento Não InformadoSalário Não InformadoÁrea de AtuaçãoDiversos / OutrosO que você irá fazer

• The role understands current complex business problems and future business strategy to assess, build and deploy required data mining and modelling capabilities.
• The role is involved in driving standardization, productivity and cross team learning by establishing processes and SOPs for entire data model development lifecycle.
• The role drives excellence through continuous improvement in model accuracy and reliability.
• **Responsibilities**- Leads organization wide team or teams of other data science professionals in complex projects to mine data using modern tools and programming languages.
• – Defines models to uncover patterns and predictions creating business value and innovation.
• – Manages and creates relationships with business partners to evaluate and foster data driven innovation, provides domain-specific expertise in cross-organization projects/initiatives.
• – Ties insights into effective visualizations communicating business value and innovation potential.
• – Works with various stakeholders, including business leaders, engineers, product managers, and data analysts, to identify business problems and develop data-driven solutions.
• – Prepares and presents literature, presentations, invention disclosures for peer review & publication in industry data science domain initiatives and conferences.
• – Assures insights are communicated regularly and effectively, reviewing designs, models and data compliance.
• – Defines, communicates and drives data insights/innovation into the business.
• – Leverages recognized domain expertise, business acumen, and overall data systems leadership to influence decisions of executive business leadership, development partners, and industry standards groups.
• – Provides guidance, training and mentoring to less experienced staff members.
• **Education & Experience** Recommended**- Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or any other related discipline or commensurate work experience or demonstrated competence.
• – Typically 10+ years of work experience, preferably in data analytics, statistical modeling, machine learning, or a related field.
• **Preferred Certifications**Programming Language/s Certification (SQL, Python, or similar)**Knowledge & Skills**- Algorithms- Amazon Web Services- Apache Spark- Artificial Intelligence- Big Data- Computer Science- Data Analysis- Data Mining- Data Science- Data Visualization- Deep Learning- Machine Learning- Natural Language Processing- Predictive Modeling- Python (Programming Language)- R (Programming Language)- SQL (Programming Language)- Statistical Modeling- Statistics- Tableau (Business Intelligence Software)**Cross-Org Skills**- Effective Communication- Results Orientation- Learning Agility- Digital Fluency- Customer Centricity**Impact & Scope**Impacts large functions and leads large, cross-division functional teams or projects.
• **Complexity**Provides highly innovative solutions to complex problems within established policy.

Informações AdicionaisQuantidade de Vagas 1Jornada Não Informado

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