Data Scientist

• Data Exploration and Visualization: Conduct thorough data analysis and create visualizations to understand data patterns and trends

• Predictive Modeling: Develop and implement machine learning models to predict outcomes and optimize business processes

• Experimentation: Design and execute experiments to test hypotheses and validate model performance

• Stakeholder Communication: Present findings and insights to stakeholders in a clear and actionable manner

• 3+ years of full time experience in a fast-paced financial or similar setting

• Technical Proficiency: Strong programming skills in Python and R, with experience using libraries such as Pandas, scikit-learn, and TensorFlow

• Data Visualization: Proficiency in tools like Tableau for creating compelling visualizations

• Statistical Analysis: Solid understanding of statistical methods and their application in data analysis

• SQL: Ability to write complex SQL queries to extract and manipulate data from databases

• Experience with cloud platforms such as GCP

• Familiarity with big data tools like Spark and Kafka

• Understanding of ETL processes and data pipeline design

• Education : Bachelor’s degree in a STEM field