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Senior Data Scientist
COLLAB. Recruitment Ltd
- London, England, United Kingdom
- London, England, United Kingdom
About
Job Description The Clients Data Science team delivers insights and value to clients from heterogeneous data sets with solutions that integrate into engineering and decision-making processes. Additionally, their team enables big data analytics for their clients through advisory services including use case prioritizations, tool selection and training, and capability definitions. Their success as a services firm relies on their experts' ability to be more than technologists and statisticians.
The Senior Data Scientist will be responsible for utilisingadvanced statistical and machine learning methods to answer business questions and deliverinsightful solutions to complex problems. The ideal candidate has excellent interpersonal and communication skills and can interact with business and technology stakeholders where necessary.
Specific Responsibilities
The Senior Data Scientist will:
Design hypothesis tests, oversee test execution, and evaluate the results
Model, predict and classify data
Utilise machine learning and large-scale data mining techniques todiscover and identify actionable patterns in the data
Help define and document business requirements and acceptance criteria
Assist in or lead workshops and documenting relevant outcomes
Identify opportunities and appropriate solutions (e.g. algorithms and libraries)
Present to both technical and non-technical stakeholders, internally and in a Customer facing capacity
Agile cross-functional teamwork:
Contribute to sprint planning, provide realistic estimates and plan deliverables
Attend standups and retrospectives
Research, design, evaluate, build, tune and document end to end data science solutions
Understand and solve scalability and production issues
Documentation and coding standards:
Adhere to coding standards and best practices
Ensure all models are validated and all business logic is robustly tested
Qualifications The following are a list of relevant skills expected from the successful candidate:
Must
Have a minimum of five years professional experience
Have clear written and spoken English
Have experience presenting to business stakeholders
Have experience formalising data science solutions based on a set of business requirements
Have demonstrable experience of delivering a data science solution to production
Have knowledge and experience of the products software lifecycle
Have an excellent understanding of machine learning and statistics
Have well-developed quantitative skills and analytical thinking
Have experience in scaling data science methods and accounting for non-functional requirements
Have demonstrable professional experience in Python or R
Have demonstrable professional experience in Scala, Java or C
Be proficient with version control tools and strategies, ideally Git and Gitflow
Have hands-onwork experience with:
Data analysis and visualisation tools and workbenches
Analysing structured, semi-structured and unstructured data
Dataquery languages, e.g. SQL, HiveQL or similar
Have experience in working in cross-functional agile software engineering teams
Have experience reliably estimating, planning and meeting deadlines for deliverablesHave experience mentoring Junior Data Scientists
Should
Hands-on work experience/proficient with:
Spark
Scikit-learn and Pandas
Have experience with integrating Data Science within products or enterprise solutions
Hands-on work experience/proficient with:
Distributed systems
Hadoop ecosystem
Cloud-based machine-learning APIs
Have sufficient knowledge of NLP
Have experience with TDD, BDD and Continuous Integration
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Languages
- English
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