Senior Data scientist (Remote) 547 views

Job Description

Role: Senior Data Scientist

Location: New York, NY

Duration : 5 months

The Senior Data Scientist solves complex problems to support key business priorities, by understanding business the goals, objectives, and KPIs, developing innovative AI/ML models and algorithms, partnering with engineers do deliver end-to-end solutions.

Key Responsibilities And Duties

• Minimum 7 years of experience
• Preferred: MS or PhD degree in STEM with a focus area in machine learning, statistical modeling or optimization
• Physical Requirements: Sedentary Work Preferred Education
• Research and develop novel AI/ML models and solutions to support key enterprise goals.
• Have a good understand of the business problems, mains objectives, relevant KPIs and success metrics.
• Connect with business stakeholder to understand, define and collaborate on end-to-end execution of the initiatives.
• Have a great understanding of ML algorithms, deep learning, gradient boosting, tree-based, ensemble, bayesian, clustering; including supervised, unsupervised and reinforcement learning techniques.
• Ensures performance, quality and usage of proper metrics to deliver high quality AI/ML models.
• Communicates insights from analyses to management in order to enable data driven decision making to improve business performance and operational outcomes based on machine learning and statistical analysis results.
• Researches existing and emerging data science principles, theories and techniques to keep up to date with new development in AI/ML.
• Reviews the AI/ML modeling, statistical analysis, and data analysis completed by lower level Data Scientists, providing coaching and feedback as needed.

Qualifications

• 5 or more years of experience as a data scientist in industry or academia
• Understanding of state of the art predictive modeling algorithms and statistical modeling techniques
• Knowledge and experience on deep learning and NLP
• End-to-end experience of applying novel data science technologies to real world applications from ideation to deployment
• A value story teller with strong communication skills to non-tech audience
• Experience with cloud-based data and data science platforms such as AWS Sage Maker and GCP
• Proficient in Statistical/ML programming languages and tools (Python, R, Karas/TensorFlow and etc.)
• Strong business acumen and problem solving skills
• 7 years of experience as a data scientist in industry or academia
• Expert knowledge in deep learning and NLP
• Experience and application domain knowledge of financial asset management or customer experience optimization
• Experience in an innovation team with proven track record of coming up with new ideas and developing/validating new technology solutions in a methodically into production