Senior Data Engineer / Data Scientist
Skills
OOPAnalyticsData AnalyticsData ManipulationData QualityData ScienceDatasets
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Intermediate to advanced proficiency in Python and Object Oriented programming
- Intermediate knowledge of SQL and/or Pandas for data manipulation and analysis
- Familiarity with REST APIs
- Experience working with production codebases
- Ability to adapt to various roles and responsibilities
- Strong problem-solving skills
- Excellent communication skills
- Detail-oriented with a commitment to producing accurate results
- Ability to address pipeline and model problems
- Ensure analytical results align with business objectives
Nice to have
- Experience with monitoring production applications
- Knowledge of data visualization tools
- Familiarity with big data technologies
- Experience with statistical analysis and machine learning methodologies
Day to day
- Define and aggregate structured and unstructured data for analytics
- Perform statistical analyses to support business insights and decision-making
- Ensure data quality by identifying and correcting errors
- Collaborate with various teams for data manipulations
- Develop and maintain software for large datasets
- Lead efforts in instrumenting and monitoring Generative AI application
- Analyze events and analytics to improve performance and user experience
- Narrate data-driven stories with visualizations and clear documentation
Hiring process
- Submit resume and cover letter detailing relevant experience
