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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. With Optimizely One, our industry-first operating system for marketers, we offer teams flexibility and choice to build their stack their way with our fully SaaS, fully decoupled, and highly composable solution. We are seeking an exceptional Staff Data Scientist who will architect and technically lead projects dedicated to pushing the boundaries of AI-driven digital experiences. In this pivotal role, you will guide the development of cutting-edge machine learning solutions that not only anticipate but actively shape how global brands engage, understand, and delight their customers through intelligent, predictive, and personalized digital interactions.
Job Responsibility:
Lead the execution of projects in a high-performing data science team, fostering professional growth and creating an inclusive and collaborative environment
Architect and design scalable machine learning systems that solve complex challenges
Develop and execute the data science team's strategic roadmap, managing complex projects from conception to deployment
Make high-impact technical decisions and provide guidance
Establish best practices in software engineering and machine learning development
Implement rigorous code quality and testing standards across data science projects
Support talent acquisition and continuous learning initiatives
Requirements:
7+ years of experience in data science, with at least 3 years in a technical leadership role
Strong technical mentorship and team development capabilities
Proven track record of designing and implementing production machine learning solutions
Strong technical background with demonstrated ability to lead complex ML initiatives
Excellent programming skills in Python and experience with machine learning frameworks
Deep understanding of Machine Learning algorithms, Recommender Systems, Natural Language Processing, Generative AI and Large Language Models
Experience with at least one cloud platform (GCP, AWS, Azure)
Strong in version control (GitHub) and experience with CI/CD tools (GitHub Actions)
Demonstrated expertise in test-driven development and clean code principles
Proven ability to write maintainable, modular, and well-documented code
Exceptional English communication skills
PhD’s, Master's, or Bachelor's degree in Computer Science, Machine Learning, or related field
Nice to have:
Proficiency in distributed data processing (Spark, cloud services)
Knowledge of ML model development and deployment frameworks (MLFlow, Kubeflow)
Advanced data querying (SQL) and data engineering pipelines (Airflow)
Extensive experience with comprehensive unit testing, integration testing, and test coverage strategies
Experience working with Product Management teams and ability to translate complex technical concepts for non-technical stakeholders