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Cloudstream Global is recruiting for a Contract Data Scientist to join our client who are a truly global, household brand at the absolute forefront of their market. The role is based in Chertsey, Surrey at their European HQ. The role sits within a team which is responsible for increasing their market share through the use of technology & data. The key areas they are working in are insights, big data, AI, analytics, machine learning and have a number of data system implementations planned for early next year such as SAS. They require a data SME with a passion for data science, big data and the ability to create complex algorithms and working across a number of key data related projects within a small but highly intelligent team.
6 month rolling contracts - Long term project in very early stages.
Likely 18-24 months contract duration.
Rate £550/£570 per day
Based in Chertsey, you will have a good mathematical background and solid experience with statistical methods, programming and machine learning methodologies. You will enjoy working closely with other data scientists and analyst supporting partners across the whole business.
Data Scientist key daily duties:
Design and create complex algorithms, build models, and prototype solutions for multiple projects and stakeholders within a global organisation working towards business and consumer insight
You will work closely with a small team recently brought together to bring inhouse the consumer insight analytics.
You will be versed in using machine learning and large-scale data mining techniques to discover and identify actionable patterns in data and develop hypotheses and models
You will help design hypothesis tests, oversee execution, and perform rigorous statistical evaluation of the results to produce actionable insights
Manage stakeholders and guide them in unlocking the value in their data
You should champion the scientific method and strive for excellence in results at all times, balanced with working in an 'Agile' way to achieve rapid turnaround
Data Scientist required experience:
Demonstrated experience using technology such as R, Python or similar to analyse, transform and visualize big data
Ability to build models (such as linear regression, logistic, Markov models etc.) and use machine learning techniques
Focus, resilience and a passion for problem solving. Able to easily continue to find solutions and work towards goals when setbacks occur
Strong knowledge of data/analytical tools, including Excel, database querying (SQL), relational databases; aptitude and willingness to learn new tools quickly
Hands-on use of big data in large and complex projects using Hadoop, Spark would be a plus
Work Experience and Education Guidelines:
Degree in Statistics, Mathematics, Data Science, Engineering, Economics, or similar
Experience in a role focused on statistical modelling, econometrics, marketing attribution, data science or similar
Passionate about data, models and visualizations
Excellent problem-solving skills, self-motivated with the capacity to work under pressure and tight deadlines