As a Senior Data Scientist, you'll lead data-driven growth strategies, build predictive models, and support cross-functional teams to enhance product performance.
About Okendo
We believe happy customers make the best marketers.
That’s why we built Okendo – the customer marketing platform that creates stronger connections between consumers and the brands they love.
Using Okendo, Shopify brands can grow faster and more efficiently by cultivating brand advocacy and maximizing lifetime value.
Our unified platform and unique suite of products for Reviews, Referrals, Quizzes, Loyalty, and Surveys is trusted by 16,000+ Shopify brands to turn one time shoppers into revenue-driving Superfans.
Position Summary
As a Senior Data Scientist, you’ll play a pivotal role in shaping how we use data to drive growth, improve product performance, and deliver intelligent features to our users. You’ll collaborate with cross-functional teams to design models, uncover insights, and scale analytics across the business. This is a high-impact role for someone who thrives in fast-paced environments, loves solving complex problems, and wants to make a tangible difference in a growing product-led company.
How you'll create impact:
- Partner with product, engineering, and go-to-market teams to identify high-impact opportunities to leverage data.
- Build predictive models, customer segmentation, and recommendation systems to enhance product experiences
- Drive experimentation and A/B testing across the platform and marketing channels
- Develop scalable analytics frameworks and self-service tools to democratize data across the organization
- Perform exploratory data analysis to inform product strategy and feature development
- Support data-driven decision-making through dashboards, reporting, and ad-hoc analyses
- Contribute to the development of our data platform and ML infrastructure in collaboration with data engineering
What we need from you:
- 8+ years of experience in data science, with a strong background in statistical analysis, experimentation, and machine learning
- Proficient in Python and SQL, with hands-on experience using tools like Pandas, scikit-learn, dbt, or similar
- Comfortable working with large datasets and cloud-based data warehouses (e.g., BigQuery, Snowflake, Redshift)
- Strong understanding of experimentation design (A/B testing, uplift modeling, etc.)
- Experience working cross-functionally with product, engineering, and business stakeholders
- Strong business acumen and ability to translate data into actionable insights
- Excellent communication skills—you can explain complex ideas clearly and concisely
- Experience in SaaS, e-commerce, or martech
Workplace Benefits:
- Work remotely in the AU
- 12 weeks of Paid Family Leave at 100%
- Exposure to the most influential eCommerce brands globally
- Office stipend setup
- Opportunities for training + development
- Data backed and competitive compensation strategy
- 4 weeks of annual leave
- 11 paid public holidays
- Sick & carer’s leave
- Compassionate & bereavement leave
What We Value:
One Team
We are one team committed to the same mission. We trust, respect, and value each other. We recognize the unique skills, experiences, and perspectives each of us has to offer. We continually look for ways to support and enable our teammates.
Champion the customer
Our customers are the heart of our business and the pursuit of their success is our north star, At every step, we prioritize their interests in our thinking and actions.
Strive for Excellence
We commit to excellence as our standard. We set and achieve ambitious goals. We maintain a bias for action, tackle the hard problems, and continually work to improve.
Extreme Ownership
We own the outcomes. We take the necessary action to get things done. We don’t blame others or find excuses. We proactively look for solutions and solve problems.
Integrity Always
We are always honest, trustworthy, and professional. We treat others fairly and with respect. We are transparent and forthright. We take our commitments seriously and deliver what we promise.
Always Day One
It’s always Day 1 at Okendo. If we’re not growing, we’re dying. We prioritize agility over bureaucracy. Velocity over perfection. Outcomes over process. We move fast, learn, iterate, and adapt.
Follow Us:
Instagram
Linkedin
Twitter
Facebook
Top Skills
BigQuery
Dbt
Pandas
Python
Redshift
Scikit-Learn
Snowflake
SQL
Okendo Sydney, New South Wales, AUS Office
333 George St, Level 5, , , Sydney, New South Wales, Australia, 2000
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