Data Scientist

Responsibilities:

• Gather relevant data from various sources, ensuring its quality and integrity.
• Clean and preprocess the data to remove inconsistencies, missing values, and outliers.
• Document all the steps involved in data preprocessing, model development, and deployment for reproducibility.
• Conduct exploratory data analysis to understand the underlying patterns, relationships, and trends in the data.
• Visualize the data using charts, graphs, and other techniques to derive insights.
• Communicate findings, insights, and recommendations to stakeholders in a clear and understandable manner.
• Communicates with end-users to provide timely and accurate information and status updates.
• Select appropriate machine learning algorithms or statistical models based on the problem requirements.
• Train, tune, and validate models using suitable techniques such as cross-validation and hyperparameter optimization.
• Demonstrates a comprehensive understanding of how areas of data analytics collectively integrate to contribute to achieving business goals.

Qualifications:

• 5+ years of experience in data analytics.
• Bachelor's degree in computer science, mathematics, statistics, or another analytical field.
• 5+ years of experience performing advanced data ETL combining data from multiple disparate sources.
• Certifications or demonstrable past performance in data ETL or Python development.
• Understanding of user centered design and history of developing end user interfaces, reports, or dashboards.
• Excellent communication skills (both written and verbal) with technical and non-technical audiences, specifically briefing senior decision makers.

Key Skills:

• Programming.
• Statistics and probability.
• Data wrangling and database management.
• Machine Learning, Artificial intelligence.
• Deep learning, Probability and Statistics.