What are the responsibilities and job description for the Junior Data Scientist (Long Req) position at qatestcsb68sales?
Job Description
Job Responsibilities:
- Collaborate with Machine Learning (ML) business development colleagues to identify and model new and change requests from clients
- Identify opportunities to embed ML capabilities into solutions
- Implement most recent algorithms and approaches for ML in collaboration with peer data scientists and researchers
- Initiates and participates in projects in the area of prediction, optimization, and processes using advanced statistical and mathematical approaches in the Enterprise environment
- Design best architecture and select the most appropriate modeling techniques and data visualization for big data analysis
- Work closely with clients, partners and production teams to enhance the solutions and systems, troubleshooting data issues as appropriate
- Responsible for quality and timely delivery of data science assets
- Participate in client workshops and internal discussions to identify and understand ML use cases
- Communicate the solution vision/strategy and progress towards solution releases to stakeholders
- Facilitate the QA of ML solutions and provide proactive feedback on areas of improvement
Long Description
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Job Summary
As part of BestRun's Machine Learning team, you will work with data scientists, software developers and product managers to identify machine learning pipelines and facilitate the development of ML /AI enabled enterprise solutions in collaboration with sponsor clients and other BestRun LoB teams. You will also work against fixed timelines and your success will be measured by the ability to deliver quality solutions matching the performance of premiere research prototypes.
Competencies
Assembling Talent
Communicating Effectively
Interacting with People at Different Levels
Resolving Conflict
Showing Caring and Understanding
Working Safely
Working with Diverse Populations
Skills
Building and Managing Teams
Leadership
Education
BS or MS in Computer Science, Statistics, Applied Math, or ML/AI in Human Resources