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Senior Data Science Consultant
1 month ago
At Andela, we're dedicated to connecting global opportunities with brilliant technologists. As a Senior Data Scientist, you will play a pivotal role in transforming client data into tangible business value.
The ideal candidate will have expertise in Python and other open-source frameworks for data visualization, analysis, and modeling. Proficiency in statistical modeling, machine learning algorithms, and their applications is crucial.
Responsibilities:
- Collaborate with Analytics and Business Intelligence teams to understand data fields definitions, KPIs, and business metrics.
- Work with Data Engineers and Machine Learning Engineers to perform efficient data exploration, leverage tools, and build automation pipelines.
- Consult with Product/Business owners to define business rules and logic, test solution performance, and provide data-driven insights.
Qualifications:
- Bachelor's degree in a STEM field like Statistics, Math, or Engineering.
- Experience in data/business analysis, analytics, data visualization, reporting, or data engineering.
- Proficiency in Python production-level coding, including best practices.
- Familiarity with cloud platforms like AWS (Sagemaker, S3, EKS, EMR, Athena, Glue, Lambda).
Estimated Salary: $120,000 - $150,000 per year, depending on experience.
Location Requirements: India
Main Job Time Zone: EST
Time Zone Overlap Requirements: 5+ hours with EST
Working Hours: Full-time dedication (8 hours/day - 40 hours/week)
Benefits:
- 100% payment in USD
- Laptop provided by Andela
About the Role:
This is a fully remote opportunity for one of our esteemed clients. The Data Scientist will support Data Science and BI efforts for the consumer business, analyzing consumer data from devices, app stores, analytics systems, data lakes, and databases.
Key Skills:
- Data Science
- Machine Learning
- AWS (Amazon Web Services)
- Python
- SQL
Why Choose Andela?
We offer a dynamic work environment where all individuals are treated with respect and dignity. We provide equal employment opportunities to all employees and applicants without regard to factors like race, color, religion, gender, sexual orientation, or any other medical status.