Key Responsibilities
- Analyze complex datasets to identify trends, patterns, and insights that inform business strategies.
- Develop and implement predictive models and machine learning algorithms to solve business problems.
- Collaborate with different departments to understand their data needs and provide solutions that improve performance and decision-making.
- Design, develop, and maintain dashboards and reports to monitor key performance indicators (KPIs) and business metrics.
- Clean, preprocess, and manipulate large datasets to ensure data accuracy and integrity.
- Communicate findings and recommendations to both technical and non-technical stakeholders.
- Work closely with data engineers to improve data pipelines and infrastructure.
- Stay up-to-date with the latest tools, techniques, and trends in data science and machine learning.
Requirements
- Proven experience as a Data Scientist or in a similar analytical role.
- Strong proficiency in programming languages such as Python or R for data analysis and machine learning.
- Experience with data manipulation and analysis using libraries like Pandas, NumPy, and SciPy.
- Solid understanding of machine learning techniques and algorithms (e.g., regression, classification, clustering, etc.).
- Experience with data visualization tools such as Tableau, Power BI, or Matplotlib.
- Familiarity with SQL and experience in querying databases.
- Strong problem-solving skills, with a knack for interpreting complex data and providing actionable insights.
- Ability to communicate complex data-driven insights in a clear and concise manner to non-technical stakeholders.
- Familiarity with big data platforms like Hadoop or Spark is a plus.
- Degree in Data Science, Statistics, Computer Science, or a related field.