# Data Scientist

**Company**: Williams Racing
**Work arrangement**: onsite
**Experience**: mid
**Job type**: full-time
**Category**: Engineering
**Industry**: Motorsport
**Wikidata**: https://www.wikidata.org/wiki/Q171337

**Apply**: https://careers.williamsf1.com/job/simulation-delivery-manager-in-grove-wantage-jid-513
**Canonical**: https://yubhub.co/jobs/job_99247ee9-652

## Description

We are seeking a highly skilled Data Scientist to join our team. As a Data Scientist, you will play a key role in helping us to make data-driven decisions and drive business growth.

Responsibilities
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* Work closely with the data engineering team to design, develop and maintain data pipelines and architectures
* Collaborate with cross-functional teams to identify business opportunities and develop data-driven solutions
* Develop and maintain machine learning models to drive business growth and improve customer experience
* Analyse large datasets to identify trends and insights that can inform business decisions
* Communicate complex data insights to non-technical stakeholders

Requirements
------------

* Bachelor's degree in Computer Science, Mathematics, Statistics or a related field
* 2+ years of experience in data science or a related field
* Strong programming skills in languages such as Python, R or SQL
* Experience with machine learning libraries such as scikit-learn or TensorFlow
* Strong analytical and problem-solving skills
* Excellent communication and interpersonal skills

Benefits
--------

* Competitive salary and benefits package
* Opportunity to work with a leading Formula One team
* Collaborative and dynamic work environment
* Professional development and growth opportunities
* Access to cutting-edge technology and tools
* Flexible working hours and remote work options

If you are a motivated and talented Data Scientist looking for a new challenge, please submit your application. We look forward to hearing from you!

## Skills

### Required
- Python
- R
- SQL
- scikit-learn
- TensorFlow
- machine learning
- data engineering
- data pipelines
- data architectures

### Nice to have
- data visualisation
- data storytelling
- data communication
