Data Scientist
4 days ago
- Design and implement advanced machine learning algorithms for predictive analysis.
- Analyze complex data sets to identify trends, patterns, and insights.
- Collaborate with business stakeholders to understand data needs and objectives.
- Develop and maintain statistical models to assess performance metrics.
- Create data visualizations to communicate findings to non-technical stakeholders.
- Utilize big data technologies like Hadoop and Spark for large-scale data processing.
- Integrate data from various sources to provide comprehensive insights.
- Perform data extraction, transformation, and loading (ETL) processes.
- Stay updated on industry trends and emerging technologies in data science.
- Assist in the deployment of data science projects into production.
- Participate in code reviews and maintain best practices in software development.
- Conduct hypothesis testing and statistical inference to validate models.
- Mentor junior data scientists and analysts on best practices and techniques.
- Prepare and deliver presentations on findings to stakeholders.
- Ensure the quality and integrity of data used in analysis.
- Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, or related field.
- Proven experience as a Data Scientist or in a similar analytics role.
- Strong proficiency in programming languages such as Python or R.
- Experience with SQL and database management.
- Solid understanding of statistical analysis and hypothesis testing.
- Familiarity with data visualization tools such as Tableau or Power BI.
- Knowledge of big data technologies like Hadoop, Spark, or similar.
- Expertise in machine learning frameworks like TensorFlow or Scikit-learn.
- Ability to manage multiple projects and meet deadlines.
- Excellent communication and presentation skills.
- Critical thinking and problem-solving abilities.
- Knowledge of business intelligence tools and methodologies.
- Experience in cloud platforms (AWS, Azure, GCP) is a plus.
- Previous experience working in an agile development environment.
- Ability to work independently as well as in a team-oriented environment.
- Strong attention to detail and a commitment to producing high-quality outputs.
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