Manager - Data Science (work for Women on break- Minimum 1yr break is mandatory)
Tasks
- Author technical blogs and evangelize team efforts
- Compare model outputs and mitigate bias
- Deploy analytical models in production
- Develop analytical models using learning algorithms
- Document data quality issues
- Ensure traceable model deployments
- Follow coding guidelines and processes
- Generate hypotheses for exploratory analysis
- Identify data sources
- Implement CI CD practices for model deployment
- Institutionalize data science best practices
- Lead data pipelining in production
- Maintain project documentation with Confluence and JIRA
- Orchestrate data and ML solutions with cloud services
- Perform data quality checks
- Storyboard findings and communicate business value
- Understand business problems and KPIs
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | CI/CD | Cassandra | Classification | Cloud services | Clustering | Computer Vision | Data Pipelines | Data Quality | Data Visualization | Deep learning | Design Patterns | Google Cloud | HBase | Hadoop | Hive | Hypothesis Testing | Machine Learning | MapReduce | MongoDB | NLP | NoSQL | Object-Oriented | Object-oriented programming | Pig | Probability Distributions | Python | R | R Shiny | Regression | SQL | Scala | Seaborn | Spark | Statistical inference | Tableau
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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