Data Scientist

 Qualifications:

• Bachelors or Master’s degree in Computer Science, Engineering, Mathematics, Physics, Econometrics, or Statistics.
• 3+ years of experience designing, building, and evaluating practical machine learning solutions.
• Strong coding experience in one data programming languages like Python/R, additional experience with scientific libraries like Numpy, Pandas, or equivalent libraries a plus.
• Proficient in analyzing data and developing ML models using Python.
• Strong background in statistical modeling: regression, classification, time series forecasting, causal inference, and other techniques.
• Experience developing scalable mathematical models and solving sophisticated quantitative problems that can be understood by non-mathematical colleagues.
• Ability to draw insights and conclusions from data to advise model development and business decisions.
• Desire to partner with other data scientists, data analysts, and key business partners.
• Good understanding of SQL.

Key Skills:

• Programming. 
• Statistics and probability. 
• Data wrangling and database management. 
• Machine learning and deep learning. 
• Data visualization. 
• Cloud computing. 
• Interpersonal skills.