Staff Data Scientist

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 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

Introduction
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

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 platforms
• 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

Job Responsibilities

• Lead and mentor 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
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

Education

• PhD's, Master's, or Bachelor's degree in Computer Science, Machine Learning, or related field

What sets you apart:
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

Working Hours: Sunday to Thursday (2 PM to 10 PM)

Competencies
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

Our new, cutting-edge office space in Dhaka is a testament to our dedication to enhancing your work experience. This state-of-the-art workspace features open workstations, a fully equipped kitchen, a nap room for relaxation, a tranquil zen garden, and an entertaining area, all designed to provide you with the ideal environment to thrive and grow.

As part of our commitment to you, here are other benefits and perks you can expect:

• Best-in-class compensation plans
• Two annual festival bonuses
• Recognition and rewards programs
• Paid Maternity (4 months) & Paternity Leave (12 weeks)
• Flexible vacations days and working hours
• Annual Work/Service Anniversary Leave
• Comprehensive medical & life insurance for you and your dependants
• Volunteering opportunities to make a difference
• Chance to work alongside our incredible global team
• Monthly and quarterly regional and global team-building events
• Communal transport facilities inside Dhaka to and from the office
• Free catered lunch every day
• An agile performance review process that encourages ongoing transparency between managers and direct reports
• Enablement program and soft skill training to support internal career growth and development

At Optimizely, our standardized language is English, and it is crucial to have good English communication skills to be successful in your global role. All our external and cross-location communication is done in US English (en-us), but internally you can speak in whichever native language you most identify with.

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.