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Senior Data Scientist
Skills
Computer ScienceFull-Stack DevelopmentAnalyticsBusinessBusiness InsightsCollaborative EnvironmentMicrosoft Surface
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 2+ years experience in Data Science and ML Engineering
- MS or Ph.D in Statistics Data Science Computer Science or related field with machine learning specialization
- Experience with supervised and unsupervised learning methodologies
- Full stack experience in data collection aggregation analysis visualization productionalization and monitoring of data science products
- Familiarity with statistical and ML models and methods
- Strong Python and SQL skills
- Ability to communicate concisely and assertively with diverse stakeholders
- Strong detail orientation and commitment to data accuracy
Nice to have
- Innovative
- Detail-oriented
- Collaborative
- Assertive communicator
- Continuous learner
Day to day
- Translate complex business problems into actionable quantitative solutions for product and strategy decisions.
- Build and maintain reliable end-to-end machine learning systems using software engineering and MLOps best practices.
- Collaborate with product stakeholders to operationalize data science solutions that improve user experience and inform marketing and content investment.
- Deliver clear insights, perform diagnostic analyses, and develop predictive models, segmentations, and forecasts from rich streaming and subscription data.