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Senior Data Scientist - Hybrid

Company Description

About SEEK

SEEK’s portfolio of diverse businesses make a positive impact on a truly global scale. Our purpose is to help people live more fulfilling and productive working lives and help organisations succeed. We create world-class technology solutions to connect more people to relevant employment, education, small business and volunteer opportunities. We have a culture of high-performance in our workplaces and celebrate the diversity of our employees who contribute to the success of our organisation.

Life at SEEK

SEEK’s purpose is at the centre of everything we do. Our SEEK, which defines the way we work, is all about what makes us unique and a little bit different. Passion, Team, Delivery and Future are our principles that drive innovation and creativity. SEEK strives to support employee wellbeing by providing an amazing experience at work which led us to being named AFR BOSS Top 10 Best Places to work in technology for the fourth year in a row. We are proud to work in an environment that's inclusive where everyone's unique ideas, experiences and perspectives are valued.

Our award-winning head office in Cremorne (just a 4 min walk from Richmond station) provides an exceptional space to collaborate with colleagues. The building provides sweeping views of the city, a games area, sit and stand desks at every workstation, modern end-of-trip facilities and Thursday night drinks which gives our people an opportunity to connect in a social setting.

Job Description

Ready to shape the future of job marketplaces with data-driven innovation? At SEEK, we’re looking for a Senior Data Scientist to join our dynamic Artificial Intelligence Platform Services (AIPS) team. You'll be at the heart of building intelligent, high-impact AI/ML solutions that drive real value for candidates, hirers, and our business.

Why This Role?

🚀 Own & Influence: Lead the design, development, and deployment of machine learning models that ensure SEEK’s marketplace thrives.
💡 Solve Complex Problems: Use data to separate signal from noise in the ever-evolving world of hiring and recruitment.
🤝 Collaborate & Lead: Work alongside engineers, product managers, and fellow data scientists to bring AI-driven solutions to life.
📊 Make an Impact: From A/B testing to inference modelling, help us refine our strategic thinking with data-backed insights.

What You’ll Be Doing:

✅ Build robust, scalable machine learning models that power SEEK’s marketplace.
✅ Design statistically sound assessments of AI models and guide A/B testing.
✅ Drive alignment across cross-functional teams and provide technical leadership.
✅ Stay ahead of the curve—explore and implement emerging techniques like Generative AI.
✅ Mentor and uplift the next generation of data scientists.

Qualifications

What We’re Looking For:

✔ 5+ years of experience in building and optimising data-driven products.
✔ Strong analytical mindset with expertise in Python, SQL, Spark, AWS, and Databricks.
✔ A communicator who can simplify complex data into actionable insights.
✔ Hands-on experience with ML model monitoring, tuning, and deployment.
✔ A passion for solving real-world problems with data!

Additional Information

Permanent Perks
At SEEK we offer:

  • Support of flexible working, including a mix of office and work from home days depending on your role.
  • SEEK is committed to operating sustainably, certified carbon neutral for its business operations (through Climate Active), purchasing renewable energy for our office and working-from-home emissions and a target for net zero by 2030. 
  • The opportunity to work from anywhere for up to 4 weeks per financial year
  • SEEKer Support, a confidential service that offers employees up to six sessions with a mental health professional of your choice
  • Free income protection insurance

At SEEK, we are passionate about fostering a culture of inclusion and wellbeing that embraces and values the diversity of our people. We are a purpose driven business that works with heart.

We know teams with diverse ideas, experiences and perspectives are more creative and are critical to ensuring effective delivery and innovating to enable our future success. As such, we welcome applications from people with diverse backgrounds and life experiences, especially as they relate to gender, sexual identity, culture, faith, disability and life stages. If you have the skills, curiosity and an adaptable mindset but don't meet every responsibility or qualification listed in this advertisement, please still get in touch with us.

Should you require any specific support or adjustments throughout the recruitment process and beyond, please advise us and we will be happy to assist.

For this role, only those candidates with the eligible right to work will be considered.

SEEK kindly requests no unsolicited resumes or approaches from recruitment agencies and will not be responsible for any associated fees.

Apply now and help us shape the future of work! 🚀

Average salary estimate

$115000 / YEARLY (est.)
min
max
$100000K
$130000K

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What You Should Know About Senior Data Scientist - Hybrid, Seek

Are you ready to lead the charge in data-driven innovation as a Senior Data Scientist with SEEK? Located in the vibrant suburb of Cremorne, Australia, our team is passionate about utilizing advanced AI/ML strategies to transform the job marketplace. In this exciting role, you will take the reins in designing, developing, and deploying powerful machine learning models that drive efficiency and value for candidates and employers alike. You'll collaborate with a diverse array of professionals, from engineers to product managers, to bring your AI-driven ideas to life and tackle complex challenges head-on. Your influence will be felt across the organization as you leverage data to parse through the noise of the recruitment landscape. With more than five years of experience in building and optimizing data-driven products, you’ll utilize your expertise in Python, SQL, Spark, AWS, and Databricks to deliver robust solutions. Plus, we’re all about personal growth, so you’ll have the opportunity to mentor the next generation of data scientists while staying ahead in the ever-evolving tech landscape. At SEEK, we care about our people and our planet—enjoy a flexible work environment with the perks of hybrid work, mental health support, and much more. Join SEEK, where innovation meets inclusivity, and let’s shape the future of work together!

Frequently Asked Questions (FAQs) for Senior Data Scientist - Hybrid Role at Seek
What responsibilities does a Senior Data Scientist at SEEK have?

As a Senior Data Scientist at SEEK, your primary responsibilities will include designing, developing, and deploying machine learning models tailored to enhance the job marketplace. You'll also be tasked with conducting statistically sound assessments of AI models, driving alignment across cross-functional teams, and mentoring junior data scientists.

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What qualifications are required for the Senior Data Scientist position at SEEK?

To qualify for the Senior Data Scientist role at SEEK, applicants should have over 5 years of experience in building data-driven products, strong analytical skills, and proficiency in programming languages like Python and SQL. Familiarity with machine learning model monitoring and a passion for data-driven problem-solving are also essential.

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What programming languages and tools should Senior Data Scientists at SEEK be familiar with?

At SEEK, Senior Data Scientists should be well-versed in Python, SQL, Spark, AWS, and Databricks. These tools are critical for building and optimizing machine learning models that confidently drive insights within the job marketplace.

Join Rise to see the full answer
How does SEEK support work-life balance for Senior Data Scientists?

SEEK champions a flexible working environment, allowing Senior Data Scientists to balance their work-from-home days with office time. Employees can also take advantage of additional benefits such as working remotely for four weeks a year to maintain a healthy work-life integration.

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What impact do Senior Data Scientists have at SEEK?

Senior Data Scientists at SEEK play a pivotal role in shaping data-driven strategies that enhance the hiring process for candidates and recruiters alike. Through developing innovative AI solutions, they help refine SEEK's strategic direction, leading to improved outcomes for all stakeholders.

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Common Interview Questions for Senior Data Scientist - Hybrid
Can you describe your experience with machine learning model deployment?

When answering, share specific projects where you've managed the full ML lifecycle—from development to deployment. Highlight tools you used and any challenges faced during deployment, and how you overcame them.

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How do you approach feature selection for a new dataset?

Discuss your methodical approach, including exploratory data analysis, correlation testing, and using techniques such as recursive feature elimination. Mention how you validate the impact of selected features on model performance.

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What is your experience with A/B testing in machine learning?

Explain any past A/B testing you've conducted for model improvements. Discuss how you designed the experiments, analyzed the results, and implemented changes based on your findings.

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How do you stay updated with emerging techniques in data science?

Share your strategies for keeping abreast of the latest trends, such as participating in online courses, attending industry conferences, or reading relevant research articles and blogs.

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Can you give an example of a complex problem you've solved using data?

Provide a specific scenario that outlines the problem, the data assessment you performed, the solution you devised, and the results. Focus on how data drove your decision-making process.

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How do you communicate complex data insights to non-technical stakeholders?

Highlight your ability to simplify complex data by using visual aids or analogies to convey insights. Provide examples of how your communication led to informed decisions by stakeholders.

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What machine learning frameworks are you most comfortable with?

Discuss frameworks you’ve used (like TensorFlow, PyTorch, or Scikit-learn) and explain why you prefer these tools based on your project experience and specific use cases.

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How do you handle missing or inconsistent data in a dataset?

Detail your approach to data cleaning, including methods such as imputation, removal of outliers, or analyzing the patterns of missingness to inform your handling strategies.

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What metrics do you use to evaluate the performance of a machine learning model?

Discuss metrics relevant to your projects, such as accuracy, precision, recall, or F1 score, and explain the context behind choosing specific metrics for different types of models.

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Have you ever mentored a junior data scientist, and how did you approach it?

Share your experiences mentoring and supporting junior colleagues, focusing on your methods of providing guidance, offering constructive feedback, and fostering a supportive learning environment.

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CULTURE VALUES
Customer-Centric
Mission Driven
Dare to be Different
Diversity of Opinions
Friends Outside of Work
Startup Mindset
Emails over Meetings
Transparent & Candid
Growth & Learning
BENEFITS & PERKS
Medical Insurance
Learning & Development
Paid Holidays
Paid Sick Days
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
February 28, 2025

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