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185 BP Incorporate International Jobs
Senior data scientist
BP Incorporate International
posted 8mon ago
Job Role Insights
Key skills for the job
Job Description
Senior Data Scientist will be working in a cross-disciplinary team, working closely with other data scientists, software engineers, data engineers, data managers, product owners and Portfolio managers. Working with diversified team and in inclusive environment
- Build scalable, re-usable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers.
- Carry out data analyses to yield actionable business insights.
- Act as the accountable person for the statistical methods used to enquire data sets, design of Machine Learning models & defining the end-to-end data lifecycle of a data science project from play-test to production
- Translate problem statement to data architecture
- Work closely with business collaborators to understand business challenges
- Break down data architecture requirements to tasks for other team members
- Appraise current design patterns (ex: AWS) against requirements and adapt to the technology
- Seek / promote automated pipelines / jobs
- Communicate sophisticated ideas in a digestible way to the business
- Implement to and advocate for data science standard methodologies (e.g. technical design, technical design review, unit testing, monitoring & alerting, checking in code, code review, documentation).
- Present results to peers and senior management.
- Coach, mentor and support the data science squad on the full range of end-to-end data science and solutions development activities
- Required Criteria:
- Any Engineering Graduate
- Specialisation in Machine Learning or Data Science will be an advantage
Years of experience: 8 to 12 years with minimum of 5 to 7 years meaningful experience
Required Criteria
Deep applied knowledge of data science tools and approaches across all data lifecycle stages.
Detailed understanding of underlying mathematical foundations of statistics and machine learning.
Customer-centric and pragmatic attitude. Focus on value delivery and swift execution, while maintaining attention to detail.
Development experience in one or more object-oriented programming languages (e.g. Python, Go, Java, C++)
Sophisticated SQL knowledge.
Experience with big data technologies (e.g. Hadoop, Hive, and Spark).
Knowledge of experimental design and analysis.
Strong collaborator management and ability to influence.
Continuous learning and improvement approach.
Employment Type: Full Time, Permanent
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