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For Companies At a Glance
- Tasks: Lead innovative AI-driven projects to enhance digital experiences for global brands.
- Company: Join Optimizely, a leader in MarTech with a dynamic and inclusive culture.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Shape the future of digital interaction and make a real impact with cutting-edge technology.
- Qualifications: Experience in machine learning, data science, and strong collaboration skills.
- Other info: Be part of a diverse team that values every voice and fosters continuous improvement.
The predicted salary is between 43200 - 72000 £ per year.
At Optimizely, we are 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 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. Our innovation and excellence have earned us numerous recognitions as a leader by industry analysts such as Gartner, Forrester, and IDC, reinforcing our role as a trailblazer in MarTech.
At our core, we believe work is about more than just numbers -- it’s about the people. Our culture is dynamic and constantly evolving, shaped by every employee, their actions and their stories. With over 1500 Optimizers spread across 12 global locations, our diverse team embodies the "One Optimizely" spirit, emphasizing collaboration and continuous improvement, while fostering a culture where every voice is heard and valued.
Join us and become part of a company that’s empowering people to unlock their digital potential!
Overview
Why is this team critical to Optimizely?
- Business Impact: Powering Optimizely One, our ML innovations are crucial for defining Optimizely's technological leadership in digital experience platform
- High Visibility: ML capabilities developed by this team are central to Optimizely's strategic product roadmap and cross-product integration
- Shape the Future: we are positioned to define the next generation of intelligent digital interaction across global brands
The Role
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.
Some Technologies We Work With:
- Python primarily, with bits and pieces of typescript and scala
- GCP, AWS, Azure – in this order of relevance
- GitHub, Docker, GitHub Actions, Terraform, Kubernetes
- Pandas, PySpark and Spark
- Vertex AI, Azure OpenAI for LLMs
Job Responsibilities
- 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
Knowledge and Experience
- 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
Education
- PhD’s, Master’s, or Bachelor’s degree in Computer Science, Machine Learning, or related field
Driving Continuous Improvement
- Driving for Results
- Driving Projects to Completion
- Interacting with People at Different Levels
- Communicating Effectively
- Prioritizing and Organizing Work
- Developing Talent
- Displaying Technical Expertise
- Accepting Responsibility
Optimizely is committed to a diverse and inclusive workplace. 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.
Staff Data Scientist in London employer: Optimizely
Contact Detail:
Optimizely Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Optimizely on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for the interview process. It’s all about making connections!
✨Tip Number 2
Prepare for those technical interviews! Brush up on your Python skills and be ready to discuss machine learning concepts in depth. Practising coding challenges can really help you shine during the interview.
✨Tip Number 3
Showcase your projects! If you've worked on any relevant data science projects, make sure to highlight them during your interviews. Discussing real-world applications of your skills can set you apart from other candidates.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Optimizely team!
We think you need these skills to ace Staff Data Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Staff Data Scientist role. Highlight your expertise in machine learning, data engineering, and any relevant technologies like Python and GCP.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI-driven digital experiences. Share specific examples of projects you've led or contributed to that showcase your ability to drive results and foster collaboration.
Showcase Your Technical Skills: Don’t shy away from detailing your technical prowess! Mention your experience with ML frameworks, data querying, and any tools you’ve used. We love seeing how you’ve applied these skills in real-world scenarios.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Optimizely
✨Know Your Tech Stack
Familiarise yourself with the technologies mentioned in the job description, like Python, GCP, and AWS. Be ready to discuss your experience with these tools and how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of complex challenges you've tackled in data science. Highlight your thought process and the impact of your solutions on previous projects to demonstrate your problem-solving abilities.
✨Emphasise Collaboration
Optimizely values teamwork, so be sure to discuss your experience working in collaborative environments. Share stories that illustrate how you’ve fostered inclusivity and supported team growth in your previous roles.
✨Communicate Clearly
Since you'll need to translate technical concepts for non-technical stakeholders, practice explaining your work in simple terms. This will show your ability to communicate effectively across different levels of an organisation.
