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Senior Data Scientist

Posted 29 Dec 2023
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Work experience
3 to 5 years
Full-time / part-time
Full-time
Job function
Degree level
Required language
English (Fluent)

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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.

This role is within a team whose primary focus lies in the following areas: 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.

Job Responsibilities

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
  • Proactively communicate technical decisions, work through conflicts, and partner with Technical Leads on vision and strategy
  • Break down and solve complex problems, make explicit design trade-offs, and perform complex debugging and root cause analysis
  • Actively participate in technical discussions and team meetings
  • Effectively collaborate with cross-disciplinary team members and stakeholders
  • 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

Knowledge and Experience

  • 3+ years of hands-on experience in a development team
  • 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
  • Basic understanding of Generative AI and LLMs
  • Experience with source control tools (GitHub/GitLab)
  • Great ability to convey complex concepts to a non-technical audience
  • Understanding of the ML development life cycle and/or prior experience working with teams of ML Engineers
  • Ability to work in an inclusive environment and share our values
  • Continuous learning and improvement mindset

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., Luigi or Airflow)
  • Experience working with teams of Data Engineers or Product Managers
  • Experience with functional programming concepts and architecture

Keywords: Machine Learning, Data Science, GenAI, Cloud, Python, Recommendation systems, NLP, Scikit-learn, Pandas, Luigi, Airflow, Docker, Git

Education

Bachelor's or Master's degree in Computer Science, Information Systems, or equivalent

Competencies

Communicating Effectively

Critical Thinking

Managing Meetings

Prioritizing and Organizing Work

Solving Complex Problems

Optimizely enables businesses to experiment deeply into their technology stack and broadly across the entire customer experience.
The platform's ease of use and speed of deployment empower organizations to create and run bold experiments that help them make data-driven decisions and grow faster.
To date, marketers, developers and product managers have delivered over 700 billion experiences tailored to the needs…


Optimizely enables businesses to experiment deeply into their technology stack and broadly across the entire customer experience.

The platform's ease of use and speed of deployment empower organizations to create and run bold experiments that help them make data-driven decisions and grow faster.

To date, marketers, developers and product managers have delivered over 700 billion experiences tailored to the needs of their customers.

Recognized by the San Francisco Business Times 2014 - 2019 as one of the “Best Places To Work In The Bay Area,” Optimizely values its employees and offers great benefits including unlimited time off, healthcare coverage, gym memberships and 17 weeks of paid parental leave. Wealthfront also named Optimizely as one of "100 Career Launching Technology Companies."​ Visit our Careers page to find out how you can be a part of this growing company.

Headquartered in San Francisco, Optimizely also has offices in New York City, Austin, Amsterdam, London, Munich, Cologne and Sydney.

Other
Amsterdam
350 employees