Data Science Data Science Senior Data Scientist

2 weeks ago

London, United Kingdom Optimizely Full time

At Optimizely, we're on a mission to help people unlock their digital potential. We do that by reinventing how marketing and product teams work to create and optimize digital experiences across all channels. We are proud to help more than 10,000 businesses, including H&M, PayPal, Zoom, and Toyota, enrich their customer lifetime value, increase revenue and grow their brands. Join us and become part of a company that's empowering people to unlock their digital potential
Our Data Science team harnesses big data, natural language processing, and machine learning to help create next generation products for Optimizely’s Experimentation, CMS, e-commerce, and data platforms.
This team emerged as a result of the acquisition of two start-ups (Peerius and Idio) that provided personalisation products for e-commerce and content. Over the past years, the consolidated company has improved the lives of customers such as Intel, HP, Fitch Ratings, Sainsbury’s and many other brands. Episerver’s acquisition of Optimizely has paved the way for interactions between data-driven experimentation and AI.
Natural Language Processing, Machine Learning, and Recommendation Systems. Our stack employs a variety of technologies, including (i) code written in Python, Scala, and TypeScript, (ii) data pipelines using Spark, Luigi, Kubernetes, and Terraform, (iii) prototyping and deploying Machine Learning solutions using Pandas, Scikit-learn, and Dask.
As a Senior Machine Learning Engineer, you will play a pivotal role in developing and implementing advanced ML systems that drive our company's success. In this role, you will independently develop and ship medium to large features, design and implement reliable and scalable machine learning solutions, and collaborate with the Data Science team on projects related to NLP, Recommender Systems, and Predictive modeling.
Develop and ship medium to large features independently or with minimal support from other team members
Architect, design, and implement reliable, scalable machine learning systems
Assist the Data Science team in maintaining and extending projects related to NLP, Recommender Systems, and Predictive modelling
Prototype and implement production-ready approaches based on recent research
Provide technical mentorship to engineers and demonstrate strong expertise in your field
Drive the delivery of high-quality epics in a timely manner, ensuring operational excellence in your services/components
Break down and solve complex problems, make explicit design trade-offs, and perform complex debugging and root cause analysis
Deliver timely feedback to peers and manager, create an inclusive environment, and play an influential role in hiring, retaining, and growing diversity in the company
Apply software engineering and machine learning engineering best practices
Excellent Python programming skills and experience in software development
~ Strong understanding of Machine Learning, Recommender Systems, and Natural Language Processing
~ Experience designing and shipping ML models to production environments
~ Experience with cloud computing infrastructure (AWS/Azure/GCP)
~ Experience with distributed data processing (Spark or similar cloud services)
~ Experience with data querying
~ Bonus points:
Experience prototyping ideas discussed in research papers into code that can be assessed and benchmarked
Experience with Deep Learning / Reinforcement Learning / Statistics applied to Machine Learning
Experience with A/B testing
Experience with data processing pipeline frameworks (e.g., Experience working with teams of Data Engineers or Product Managers
Keywords: Machine Learning, Data Science, GenAI, Cloud, Python, Recommendation systems, NLP, Scikit-learn, Pandas, Luigi, Airflow, Docker, Git
Bachelor's or Master's degree in Computer Science, Information Systems, or equivalent
Optimizely is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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