Senior Data Scientist Jobs

We’re a people-first, customer-obsessed company motivated by our passion for empowering digital marketers to achieve success with their campaigns. With intuitive landing page builders and a comprehensive suite of AI-powered features, our Conversion Intelligence platform helps you grow smarter.

Our team's technical expertise and creativity work together to drive our mission forward every day. We aim to continue being an innovative and inspiring company that both our customers and employees admire—and we invite our future team members to join us!

About the role:

Join Unbounce and help the world experience better marketing. We’re a people first, customer obsessed company focused on helping employees do their best work. Our landing page and conversion platform empower digital marketing teams and agencies to launch campaigns, increase conversions and get significantly better ROI on their marketing spend in a way that nobody else does today.

We are looking for a highly skilled and experienced Senior Product Data Scientist to help us blaze some trails and lead our growing efforts in data science and machine learning. In this role, you will utilize your expertise in data analysis, statistical modelling, and machine learning to unlock valuable insights from our vast product data. By applying your analytical prowess, you will guide strategic decision-making, influence product roadmap decisions, and contribute to the growth and success of Unbounce.

You’ll lead our R&D squad within our Data Products team, combining techniques in deep learning, reinforcement learning, NLP and more to deliver value to our customers with machine learning and data backed insights.

What you’ll be doing:

• Mentorship and Collaboration: You’ll be part of a diverse, cross-functional team of Data Scientists, Machine Learning Engineers, Developers, Analysts, Product Managers, and UX Designers. You will share your expertise and provide guidance, and actively contribute to a collaborative and learning-oriented team culture
• Machine Learning: You’ll focus on applying machine learning techniques to empower our customers to create high converting content, optimize their ad campaigns, and provide data driven insights to increase their ROI. You will be exposed to a wide array of machine learning areas, such as cutting-edge NLP utilizing attention based and generative models, image analysis, and reinforcement learning
• Data analysis: You’ll validate and analyze large and complex datasets to extract meaningful insights and identify patterns, trends, and correlations that drive product improvements
• Experimentation and A/B Testing: You’ll design, execute, and analyze experiments to measure the impact of product changes and enhancements, and provide recommendations based on the findings.
• Product Insights and Strategy: Collaborate with cross-functional teams to translate data insights into actionable recommendations for product roadmap planning and strategy
• Statistical modelling: You’ll develop and implement advanced statistical models and algorithms to solve complex business problems

A little bit about you:

• Relational databases (we principally use MySQL and Postgres)
• You can communicate clearly and empathetically with developers, product managers, and UX designers to explain the abilities and limitations of ML systems
• Programming with Python and the associated data science/machine learning packages (e.g. scikit-learn, pandas, xgboost, numpy, scipy, pytorch, or tensorflow)
• Experience with one or more deep learning technologies and frameworks (NLP, image analysis, generative models)
• High level of proficiency in statistical modeling and machine learning (e.g. feature engineering and selection, regression, classification, NLP, etc.)
• 8 or more years of experience working with machine learning and data science of which at least 2 years are within a product-focused environment
• Experience leading projects and mentoringteam members
• Agile development, version control, and code review processes
• You are not afraid to ask questions to find the best solution and are equally unafraid to have your ideas challenged

Share our values:

• Ambition
• Courage
• Diversity
• Empathy
• Being Real

What’s in it for you:

🤝 Flexibility and time off

• A digital-first, distributed working model with flexible hours --for this role, we will consider all applications from those based in Canada*, with the option to work from our Vancouver office
• One paid volunteer day per year
• One paid day off on your birthday
• Holiday Closure:December 25th - January 1st
• 20 vacation days

🩺 Health and wellness

• 12 personal wellness days
• $500 health and wellness allowance**
• Parental leave and planned reintegration program
• A comprehensive benefits package including medical, dental, vision, and generous mental health support options– all available on day 1

🎓 Growth

• Professional development time and budget
• Org-wide and employee-led DEI and growth initiatives

🌟 More perks!

• These amounts will be prorated based on your start date.
• One-time work-from-home allowance - $500
• An annual allowance of $1,000 that you can choose to use towards your vacation, or put toward your RRSP contribution**
• Please note that we currently do not have a legal entity set up to operate as an employer of record in Quebec. We thank you for your consideration but we are unable to accept candidates from Quebec at this time.

Unbounce welcomes you to be YOU!

At Unbounce, we want every employee to be excited to bring their full, authentic self to work. When you bring your unique experiences, background, knowledge, perspective, and self-expression while embracing the same from others we learn from each other. We innovate and co-create an environment where Unbouncers can do the best work of their careers. We’re bolder and more brilliant together.

We’re dedicated to ensuring each Unbouncer feels a sense of belonging, feels safe, cared for, respected and valued for who they are, and trusts that their unique voice is heard, embraced, and meaningfully contributes to decision-making. We’re committed to equitable employee experience, opportunity, pay and support for every employee regardless of gender identity or expression, race, ethnicity, family or marital status, religion, socio-economic status, veteran status, national origin, age, sexual orientation, education, disability, or any other characteristic that makes you unique.

We have no tolerance for sexism, racism, xenophobia, homophobia, transphobia, ableism, ageism, or any other forms of hateful/harmful discrimination and we’re taking action against unequal pay in our community through leading the #PayUpforProgress movement.

If you require any accommodations or support during the recruitment process, please email us at [email protected].

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