Data Scientist

Summary

• Analyse complex datasets to uncover patterns, insights, and relationships.
• Utilise machine learning and statistical methods to solve business problems and optimise outcomes.
• Collaborate with stakeholders across departments to define business challenges and develop data-driven solutions.
• Ensure data accuracy and integrity throughout the analysis process.
• Stay updated with the latest trends, tools, and techniques in the field of data science.

Key Skills

1. Proficiency in programming languages such as Python or R.
2. Strong knowledge of machine learning algorithms and statistical modeling.
3. Familiarity with data manipulation and visualisation tools such as Pandas, Matplotlib, and Tableau.
4. Experience with big data technologies like Hadoop and Spark.
5. Ability to translate complex data findings into actionable business insights.

Standard Industry Training

• Certified Data Scientist from the Data Science Council of America (DASCA)
• TensorFlow Developer Certificate
• Professional Certificate in Machine Learning and Deep Learning

Interview Questions for Data Scientist

1. How do you handle missing data in a dataset?
2. Describe a time when your analysis directly impacted a business decision. What was the outcome?
3. How do you validate the accuracy of your analytical models?
4. Explain a complex machine learning algorithm in simple terms.
5. How do you handle situations where stakeholders have difficulty understanding your findings or recommendations?