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Data Scientist Remote

JATO

Full Time Remote 10.56 - 12.04 GBP Today

Job description

Employment Type

Full Time

Location Country

United Kingdom

Location

Home based - United Kingdom

Job Details

JATO Dynamics is a global company and the leading provider of automotive market intelligence. We deliver the world's most complete, accurate and up-to-date databases of vehicle prices and specifications, and industry news including incentives information, sales, and registrations data.

JATO are searching for a Data Scientist to joing our Automotive Intelligence team!

The purpose of the Data Scientist is to help discover insights hidden in the vast amounts of JATO automotive data, helping them to make smarter decisions. The successful candidate will produce new and creative analytic solutions by applying data mining techniques, conducting statistical analysis, and building high quality prediction systems.

In particular, you will initially focus on the creation of statistical models to be used in the functionality of Automotive Intelligence, an area within JATO focused on the analysis and integration of multiple data sources related to sales volumes, pricing, product analysis, etc.

Key Responsibilities

Collaborate with the Product team to collectively develop specific functionalities used in solutions using JATO data assets

Work end-to-end in the development of advanced data analyses and models, by gathering and interpreting the requirements, extracting and processing the data, conducting the analyses and modelling, and assisting in the development of the final solution

Implement new statistical or other mathematical methodologies as needed for specific models or analysis

Assist with the deployment and monitoring of the developed solutions

Communicate effectively with stakeholders, both when capturing the problem and when presenting results

Successfully work within the Data Science team to share best practices, expertise, knowledge, and enthusiasm

Work with other areas in the company to collectively create meaningful data visualisations and analyses

Stay up to date with technology trends

Key Requirements

Advanced degree in data science, applied statistics, machine learning, mathematics or relevant field

5-10 years of professional experience working on a Data Science or related discipline team

Previous experience with applied statistics and quantative modeling (e.g. regression models, time series forecasting, statistical tests, machine learning models)

Independent proficiency in the data science process including data cleansing, data validation, data modeling, model evaluation, visualization of insights, and a strong sense of identifying the right questions to ask of the data

Passionate about empirical research and answering hard questions with data

Familiarity with relationship databases and SQL

Previous experience and proficiency using Python/R

Experience with deployment of data science solutions

Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner

Proactive and problem-solving mindset working independently to deliver value

Fluent in English

Preferred

Previous experience working with automotive domain data and/or pricing

Previous experience with time series forecasting

Experience with Azure framework

Familiarity with business intelligence tools (e.g/ Tableau, Power BI, Qlik)