Prepare, engineer, and maintain features using internal and external data
Perform exploratory analysis of datasets to produce analytical reports and interactive dashboards
Apply statistical and machine learning methods to large, complex data sets to draw insights and provide actionable recommendations
Work with multiple teams (data scientists, data engineers, product managers) to collect requirements from business stakeholders and conduct analysis to help inform their decision-making
Qualifications
Bachelor’s Degree or higher in Computer Sciences, Computer Engineering, or related with experience in SQL
Experience in Python and statistical programming packages (e.g., pandas, NumPy)
Knowledge in statistics (e.g., hypothesis testing, regression) and machine learning
Strong analytical problem-solving skills
Ability to work independently and collaboratively in a fast-paced environment
Attention to detail and commitment to data integrity
Excellent communication skills in both verbal and written forms
Demonstrated ability to formulate problem statements, identify relevant data, conduct analysis, and draw meaningful conclusions to real-world problems.
