Senior Data Scientist

Job description

We're looking for a Senior Data Scientist to join our Buyer Journey team: a high-impact, cross-functional team accelerating Tracksuit's commercial growth.As a data scientist, you'll build the customer experiences, systems, and tools that make it easier to explore, buy, set up, and manage Tracksuit.
You'll drive outcomes for both Tracksuit's external users (prospects, customers, and partners) and internal teams (Sales, Customer Success, Partnerships).
This is a perfect role for a data scientist that loves driving commercial outcomes, fast-paced product development, and building robust AI systems.
It will sit at the intersection of product, operations, GTM teams, and the customer experience.
You'll prototype automation, develop our LLM infrastructure for scale, and shape a culture of data-driven experimentation.You'll also be part of our growing Data team.
We currently have seven Data Engineers and five Data Scientists leading the company-critical work of building and monetising Tracksuit's data assets.What you'll do:Develop AI-driven customer and commercial experiences- Translate commercial and customer goals into high-quality features, with PMs, designers, engineers, and business stakeholders.
- Prototype and productionise AI-powered systems to enhance Tracksuit's buying flows, personalized demos, and subscription management tools.
- Design and implement generative AI solutions, including advanced prompt engineering, scalable LLM infrastructure, and robust monitoring for reliability.Lead data-driven experimentation- Own the experimentation process, identifying high-leverage growth opportunities and rigorously testing hypotheses through data-driven methods.
- Continuously analyze key metrics to inform decisions, refine experiences, and optimize outcomes for customers and internal teams.Scale operational workflows through automation- Automate workflows across Sales, Customer Success, Partnerships, and Operations, streamlining processes to improve productivity and efficiency.
- Build predictive systems that proactively surface renewal, upsell, and expansion opportunities, empowering commercial teams with actionable insights.Champion best practices in AI and data science- Promote and uphold high standards in modeling, experimentation, and AI ethics across the organization, with the Data Science team- Foster a collaborative, data-driven culture within and beyond the GTM Systems team.What you'll work on:This role is wide-ranging and high-leverage.
You'll work on a portfolio across several of the following areas:- Buying experiences (e.g. personalised demo flows, AI survey builder)- Pricing, packaging, and deal configuration tools- Subscription management and billing systems- CRM and customer data infrastructure- Renewal, upsell, and customer health workflows- Internal sales enablement platforms and automation- Signals, alerts, and workflows that surface expansion/renewal opportunities About youYou're an experienced senior data scientist (5+ years in a similar data scientist position) You've worked in embedded product teams to ship data-driven systems at scale, ideally in a SaaS environment.You're metrics-driven This is a growth role at its core.
You're driven by impact, obsessed with identifying leading indicators that matter, and have led rapid experimentation cycles to move the needle.
Data analytics in Python and SQL are your bread and butter.You're a strong systems and process thinker You see the bigger picture and architect systems that address the fundamental issues.
You don't blindly optimise existing workflows.You have proven experience building non-deterministic systems Generative AI is critical to this role.
You have demonstrated success developing AI workflows, combining best practice prompt engineering with developing right-sized LLM infrastructure with robust monitoring and evaluation and thoughtful design patterns.You're collaborative and kind As a member of our quad leadership teams, you are a natural collaborator, bring people along with clear thinking and great communication, and love winning as a team.Why this role is excitingYou'll help shape how modern SaaS companies grow, combining the latest generative AI with best practices from data-driven experimentation.You'll build real products.
Data Scientists don't work in a silo at Tracksuit.
You'll play a leadership role alongside Product, Design, and Engineering to develop products that impact revenue, experience, and internal scale.You'll work alongside a talented and kind team that values autonomy, curiosity, and craftsmanship.You'll play a key role in a fast-growing company redefining how brands are built and measured.
$140,000 - $170,000 a yearWe practice transparent compensation at Tracksuit, which means we put a real focus on fair compensation for our people and their roles.
We run comprehensive full-cycle comp reviews annually, as well as rolling promotions when you've levelled up.
Your salary is supplemented with our best-in-class benefits package, as well as generous ESOP.Why join us at Tracksuit?
As one of Australasia's fastest growing startups, we've hand-picked a world-class team of kind, ambitious, generous, and smart humans.We're a tight-knit, supportive, and ambitious team, driven to empower companies to use brand to drive success.
Our culture thrives on complete transparency, trust, learning, and constant development and improvement.Underpinning the experience are our great benefits, including:?Compensation:Competitive market rate remuneration, which is reviewed twice annually.
Our radically transparent compensation policy ensures that salaries are fair across the entire team.
?Employee Share Option Program (ESOP):So that everyone on the team has a share in Tracksuit's success.
?Progressive health and wellness benefits:Including an annual wellness bonus, access to a premium EAP platform, and 6 weeks of paid annual leave.
?Generous parental benefits:12 weeks' paid parental leave for either caregiver, additional sick leave for IVF, gradual return to work.
?A $1000 personal L&D budgetfor each Trackstar, plus additional growth opportunities including mentorships, speaking engagements, and travel.
?Flexible working:We have beautiful offices in Auckland, Sydney, London, and New York.
We are an office first work environment, however we understand that life can get messy.
We provide flexibility in our approach to working options and will work with you to find the right balance and approach to WFH/in-office work.But don't take our word for it!
You'll be joining the:- Mumbrella Marketing Company of the Year 2022- HRD Employer of Choice

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