Senior Data Scientist

COLLAB. Recruitment Ltd; Greater London; On-site; GBP 60,000 - 90,000; Full time

Job summary

A leading recruitment firm is seeking a Senior Data Scientist who will apply advanced statistical and machine learning methods to derive insights from complex data sets. The ideal candidate should possess a minimum of five years of experience, exceptional oral and written communication skills, and a history of delivering data science solutions to production. This role will require collaboration with technical and non-technical stakeholders to define requirements, design tests, and document findings.

Qualifications

• Minimum of five years of professional experience in data science.
• Experience in presenting to business stakeholders.
• Professional experience in Python and R.
• Demonstrable experience in delivering data science solutions to production.

Responsibilities

• Utilise advanced statistical and machine learning methods to solve business problems.
• Model, predict, and classify data effectively.
• Design hypothesis tests and evaluate results for insights.
• Contribute to agile sprint planning and execute deliverables.

Skills

Machine learning

Statistics

Analytical thinking

Data analysis

Presentation skills

Python

R

Scala

Java

Git

Tools

Spark

Scikit-learn

Pandas

SQL

HiveQL

Hadoop

Job description

The Client provides expert advisory and implementation services for open source big data solutions. As the first and only pure-play big data services firm, their Data Scientists and Engineers are trusted advisors to the world's most innovative companies. Their experienced teams combine a distinctive methodology and a proven framework that includes tested design patterns and pre-built components, to help clients build applications faster. The Client helps Customers leverage Big Data analytics by integrating open source platforms, such as Hadoop, NoSQL and Streaming Engines, with best-of-breed data warehousing environments. Service offers include: a Big Data roadmap, Data Engineering, Data Lake and Analytic Operations, Training and ongoing Big Data Solution Support.

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