Data yst Data Scientist

Overview:

Key Responsibilities:

• Collect and interpret data from various sources.
• Develop algorithms and predictive models.
• Conduct statistical analysis and generate reports.
• Create data visualizations and dashboards.
• Identify patterns and trends in data sets.
• Collaborate with crossfunctional teams to understand data requirements.
• Support datadriven decisionmaking processes.
• Optimize data collection and analysis processes.
• Implement machine learning techniques for data analysis.
• Identify and troubleshoot data quality issues.
• Communicate findings to nontechnical stakeholders.
• Contribute to the development of datadriven strategies.
• Stay abreast of industry best practices and trends in data analysis.
• Contribute to the development of data governance policies.
• Identify opportunities for process improvements.

Required Qualifications:

• Bachelors degree in Data Science Computer Science Statistics Mathematics or related field.
• Proven experience in data analysis and interpretation.
• Proficiency in statistical analysis and data modeling.
• Strong programming skills in languages such as Python R or SQL.
• Experience with data visualization tools such as Tableau Power BI or D3.js.
• Knowledge of machine learning techniques and algorithms.
• Ability to work with large data sets and databases.
• Strong problemsolving and critical thinking abilities.
• Excellent communication and presentation skills.
• Ability to collaborate with crossfunctional teams.
• Understanding of data governance and data quality principles.
• Attention to detail and accuracy in data analysis.
• Experience with cloudbased data platforms (e.g. AWS Azure GCP) is a plus.
• Knowledge of data mining and data transformation techniques.
• Relevant certifications in data analysis and data science.

data visualization,machine learning,python,data analysis,data science