Data Analyst jobs in Brazil
Senior Data Scientist
Job summary
A leading AI platform company in Dubai is seeking a data scientist to co-develop projects and provide expertise on their platform. Responsibilities include data analysis, user support, and developing custom plugins. The ideal candidate has extensive experience in Python, SQL, and ML tools, and is fluent in English and ideally Arabic. Competitive salary and a commitment to equal opportunities are offered.
Qualifications
- 2-10 years of experience with Python and SQL.
- 2-10 years of experience with building ML models and using ML tools (e.g., sklearn).
- Familiarity with data visualisation in Python and R.
Responsibilities
- Co-develop production-level data science projects with customers.
- Analyse and investigate various data and machine learning applications.
- Help users master the Dataiku platform via trainings and support.
- Provide data science expertise to teams.
- Develop custom Python-based plugins to enhance functionality.
Skills
Dataiku is The Universal AI Platform, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.
- Co-develop production-level data science projects with our customers
- Analyse and investigate various kinds of data and machine learning applications across industries and use cases
- Help users discover and master the Dataiku platform, via user trainings, office hours, and ongoing consultative support
- Provide data science expertise both to customers and internally to Dataiku’s sales and marketing teams
- Develop custom Python-based “plugins” in collaboration with Solutions, R&D, and Product teams, to enhance Dataiku’s functionality
- English - fluent; Arabic - fluent/native will be a big plus
- Curiosity and a desire to learn new topics and skills
- Empathy for others and an eagerness to share your knowledge and expertise with colleagues, customers, and the public
- The ability to clearly explain complex topics to technical as well as non-technical audiences
- 2 - 10 years of experience with Python and SQL
- 2 - 10 years of experience with building ML models and using ML tools (e.g., sklearn)
- Familiarity with data visualisation in Python and R
- Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL
- Experience with Consulting and/or Customer-facing Data Science roles
- Experience with Data Engineering or MLOps
- Experience building APIs
- Experience using enterprise data science tools
- Passion for teaching or public speaking
Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com
Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.
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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.