Data Scientist jobs in Dubai Full job description
Experience: 2 – 5 yrs. | Opening: 1
Education: Any Graduation
Nationality: Any Nationality
Industry Type: Industrial Products / Heavy Machinery
Salary: AED 3,000 – 4,000 ($811 – $1,081)
Moreover Other Benefits:Accomodation, Medical Insurance, Paid Leaves, Perks & Benefits As Per Labourer Law, Transportation, Travel Allowance, Visa
Moreover Functional Area: Corporate Planning / Consulting / Strategy / M&A Aug 6,2024
Job Description
- Moreover Utilize advanced statistical techniques and machine learning algorithms to analyze and interpret complex data sets.
- Moreover Develop and implement predictive models and algorithms to solve business problems and drive data-driven decision making.
- Moreover Collaborate with cross-functional teams to identify and prioritize data science initiatives and deliver actionable insights.
- Moreover Design and execute experiments to test hypotheses and validate models, and interpret and communicate results to stakeholders.
- Moreover Clean and preprocess large datasets to ensure data integrity and accuracy.
- Build and maintain scalable and efficient data pipelines and infrastructure to support data science workflows.
- Create visually compelling and intuitive data visualizations and dashboards to communicate insights to non-technical stakeholders.
- Moreover Contribute to the development and implementation of data science best practices and standards within the organization.
Desired Candidate Profile
- Strong analytical and problem-solving skills, with the ability to think critically and creatively to solve complex business problems.
- Master’s in a quantitative field such as Computer Science, Statistics, or Mathematics.
- In-depth knowledge of statistical modeling techniques, machine learning algorithms, and data mining techniques.
- Experience working with large and complex datasets, and the ability to clean, preprocess, and analyze data using SQL or other query languages.
- Excellent communication and presentation skills, with the ability to effectively communicate complex concepts to both technical and non-technical stakeholders.
- Experience with data visualization tools such as Tableau or Power BI.
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