Principle Data Scientist
Remote job
Applications have closed
Trilateral Research
Ethical AI solutions to address child exploitation, human security, human trafficking, air quality monitoring, community safeguarding, crisis management, sustainability, information security, ESG, public health and public safety.Job Purpose:
Actively lead and manage data science contributions across a product at strategic and operational levels. Support line management, maturity, and growth of data scientists within the company. Demonstrate expertise through Thought Leadership where appropriate.
Main Activities and Responsibilities
Data Science – Strategic Level
- Actively support strategic product definition and identification of the role and opportunity of ethical AI and its realisation at the product and business level. Challenging perspectives where required.
- Actively support in identifying ethical AI innovation strategic priorities and team-wide implementation of strategic priorities in collaboration with business and product management.
Data Science – Operational Level
- Actively lead a product team incl. ML-Ops – ensuring timely and quality-assured innovation and development in line with strategic objectives
- Actively lead DS support to product implementation and ongoing support meeting customer requirements for pilots and/or production systems
- Actively lead in team-wide implementation of standards and operational procedures
- Sign-off development/ innovation conceptualisation and technical contributions to innovation proposals and business development in-line with business objectives
- Design, plan and implement technical tasks and documentation in-line with product objectives
Line Management & Team Development
- Provide line management to no more than 5 members of staff including active management of the full employee life cycle & performance management in line with company values
- Support internal training and development of data science expertise across the team.
Thought Leadership
- Demonstrate expertise through collaborative peer-reviewed, publication and/or conference papers and wider marketing collateral (e.g., blogs, webinars, podcasts) – working across the team as required.
Requirements
Interpersonal Skills:
- Excellent verbal and written communication skills
- Willingness to learn, knowledge share, coach others and improve
- Experience in line management and supporting professional development of others
- Experience in working at a strategic level with senior management (business & technical)
- Disposition to remain calm under pressure, with a proactive approach to problem solving and risk management
General Knowledge and Technical Skills:
- Excellent organizational skills, including ability to prioritise in an agile and confident manner
- Proven design and delivery of data science initiatives, including ideation, discovery, evaluation and iteration, and deployment with live software products
- Ability to translate business and customer requirements into data science solutions, including identifying areas where data science can add high value
- Good understanding of statistics - hypothesis testing, p-values, confidence intervals, regression, classification, and optimization.
- Strong algorithmic problem-solving skills.
- Ability to design and implement user-friendly and maintainable APIs
- Experience manipulating large data sets (structured and unstructured data) through statistical software or other methods
- Experience delivering NLP projects from ideation, through discovery, iterative development, evaluation, and deployment into working software and/or products.
- Excellent technical skills – Python, SQL, ElasticSearch, Neo4J, pandas, scikit-learn, Keras, PyTorch, etc.
- Experience with natural language processing – Topic modelling, Word2Vec, Transformers
- Ability and willingness to use and learn new technologies
- Demonstrable experience and interest in the realization of ethical AI
Required Education and Experience:
Essential:
- 5+ years’ experience in data science inclusive of commercial SaaS experience
- Experience taking data science initiatives from discovery through development to successful product deployment
Desirable:
- Masters/PhD in Physics, Computer Science, Mathematics, Data Science, or related subject.
- Experience in ML-Ops
- Experience with relevant AWS services
- Experience working in a startup environment
- Demonstrable desire and motivation to solve complex challenges under conditions of uncertainty
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile APIs AWS Classification Computer Science Elasticsearch Keras Machine Learning Mathematics Neo4j NLP Pandas PhD Physics Python PyTorch Scikit-learn SQL Statistics Testing Transformers Unstructured data
Perks/benefits: Startup environment
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