Data Science and Machine Learning
6 months ago
Experience -3+ year
Time Zone-IST
Contract Period-6month to 1 years
Collaborate with business analysts and customers to understand business requirements and translate them into technical specifications for Data Science/ML projects.
DataOps: Design, develop, and implement ETL pipelines to extract, transform, and load data from various sources into our data lake or data warehouse.
Perform advanced data wrangling and cleaning techniques to ensure data accuracy and reliability.
Develop and maintain web scraping scripts and tools to gather data from online sources.
Design and implement data orchestration solutions to automate and streamline data processes.
Use data visualization to effectively communicate complex technical concepts to both technical and non-technical audiences.
**Qualifications**:
A degree in Computer Science, Statistics, Mathematics, or a related field.
A 2 year minimum experience in Python programming and Data Science.
Experience working with cloud data technologies like AWS and GCP. Experience in AWS data services S3, Step Functions, Lambda functions, Glue, Dynamodb and EventBridge.
Proficiency in Python programming language and its data science libraries such as Pandas, NumPy, scikit-learn etc.
Knowledge of containerization technologies such as Docker.
**Good to have**:
ML libraries like PyTorch, TensorFlow.
**Job Type**: Temporary
Contract length: 6-12 months
**Benefits**:
- Health insurance
- Provident Fund
- Work from home
Schedule:
- Day shift
- Monday to Friday
- Weekend availability
Supplemental pay types:
- Performance bonus
Work Location: Remote
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