Senior Data Scientist - Cambridge, United Kingdom - ARM
Description
Responsibilities:
- Take Data Science projects from inception to production
- Develop high quality Data Science pipelines using Python, which meet customer requirements
- Monitor and assess performance of deployed pipelines
- Discuss and explain results to technical and nontechnical customers
- Exhibit creativity and a selfstarter ethos to demonstrate the power and value of Data Science within Arm
- Understanding of Statistics and relating python packages with a specialist interest in timeseries forecasting (ARIMA, GARCH, State Space Models and Decomposition Techniques
Packages:
'Prophet' and 'Statsmodels')
- Strong project management and presentation skills
- Deep understanding of supervised and unsupervised machine learning problems and techniques e.g., regression, classification, and clustering
- Experienced in software development with Python, especially libraries such as scikitlearn, pandas and matplotlib etc.
- Great teamwork, willing to collaborate with and support others in the team. Has a passion for new skills, has excellent interpersonal, written, and verbal communication skills
- Embraces diversity and inclusion in workplace, open to different ideas and cultures
"Nice To Have" Skills and Experience:
- A Masters or PhD within relevant fields such as statistics, computer science, economics, applied mathematics, computer engineering
- Knowledge and passion for deep learning and applicability to business insight ( for example, LSTM's, MLP's, CNN's, GAN's and Transformers). Some knowledge of NLP, graph theory and supervised / unsupervised clustering algorithms is useful. (Tensorflow,Keras and Pytorch)
- Experience with CI/CD within a Data Science context
By enabling a dynamic, inclusive, meritocratic, andopen workplace, where all our people can grow and succeed, we encourage our people to share their unrivaled contributions to Arm's success in the global marketplace.
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