Data Scientist
Project Details
- Analyze large volumes of structured and unstructured data to uncover patterns, trends, and actionable insights that support business decision-making.
- Develop predictive models and machine learning algorithms to solve complex business problems and improve operational efficiency.
- Design and implement data pipelines for data collection, cleaning, transformation, and storage using modern data engineering tools.
- Create compelling data visualizations and dashboards to communicate findings to technical and non-technical stakeholders.
- Collaborate with cross-functional teams to define data requirements, validate hypotheses, and deliver data-driven solutions aligned with strategic goals.
- Ensure data integrity, privacy, and compliance with relevant regulations and industry standards.
- Maintain comprehensive documentation for data sources, modeling approaches, and analytical processes.
- Stay current with industry trends, emerging technologies, and best practices in data science and analytics. Proactively identify opportunities for innovation and optimization.
- 5+ years' experience in data science, analytics, or a related field with a strong understanding of statistical methods and machine learning techniques.
- Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.g., pandas, NumPy).
- Strong SQL skills and experience working with relational and non-relational databases.
- Experience with data visualization tools such as Tableau, Power BI, or matplotlib/seaborn.
- Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop).
- Excellent communication skills with the ability to present complex data insights clearly and effectively.
- Experience working in cross-functional teams and translating business needs into analytical solutions.
- Knowledge of data governance, privacy regulations (e.g., GDPR), and ethical AI practices.
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