Data Scientist

Summary about this job

Detail information about job Data Scientist. Terms and conditions vacancy

• Build practical data driven products at scale
• Big Data? We receive over 450 million visits to our sites monthly
• Build rare and white-hot skills in ML, search & auction platforms

About SEEK

SEEK is a diverse group of companies, comprised of a strong portfolio of online employment, education, commercial and volunteer businesses. SEEK operates in 18 countries with exposure to over 4 billion people and 26% of GDP. SEEK is uniquely positioned to empower jobseekers with career, education, and volunteer opportunities to help create productive and fulfilling working lives on a global scale.

The Opportunity

We're looking for an experienced practitioner with a track record in building and delivering practical data-driven products at scale. You will join an established Machine Learning / Data Science capability driving the global Seek agenda on data analytics and AI enabled products. Based in Melbourne and reporting to a Data Science domain lead, you will work in a cross-disciplinary squad with members from Strategy and Engineering to research, design, build and support end-to-end products delivering direct value to hirers and job seekers.

What we need

You're an experienced data science practitioner, passionate about building and improving internet-scale products informed by data. You understand human behaviour and know how to pull patterns out of data without being led astray by the noise. You will be excited by the opportunity to investigate new data sources, methodologies and technologies and get a kick out of solving really hard problems as part of a team of smart people.

Why you want this job!

• We're a committed team with bold goals and determination for success
• Build rare and white-hot skills in search and auction platforms
• Take advantage of our huge datasets to build internet-scale and creative solutions which help millions of people around the world find their next jobs.
• Work on real business problems and translate them in tangible solutions
• Work flexibly, grow your career and play a big role in a small team

What we are looking for:

• 4-5 years commercial experience with a focus on business problem understanding, hypothesis formation, data mining, feature engineering & predictive modelling
• Deep knowledge of machine learning algorithms and efficient data structures, ensembling and model performance tuning
• Good communication and interpersonal skills with the ability to communicate with business partners and product owners
• Ability to adapt quickly and thrive in an environment of rapid change and ambiguity
• Comfortable mining large-scale data using relational databases (SQL) and cloud technologies
• Confident working at the command line in a *nix environment
• Able to write serviceable code (e.g. Scala, Python, C++) and comfortable working with and around a professional software development team
• Track record in working independently within an agile team environment, scoping work, making and keeping commitments to deliver against a shared agenda
• Experience with Natural Language Processing in languages other than English (think Thai!)
• Probably a formal postgraduate qualification in a quantitative discipline (e.g. Physics, Mathematics, Bioinformatics, Computer Science)

Why SEEK?

At SEEK, we really value our culture and the way we work together to get stuff done. Our commitment to fostering a work environment where people feel like they're making a difference every day has helped us maintain a consistently high ranking in the annual Hewitt Best Employer Award. In other words, people like to come here – and we're proud of that.

Some of the Perks & Benefits

• Profit Share, Employee Share Scheme, Purchase additional annual leave and more!
• Tailored career development planning including opportunities to work with our international businesses
• Super casual attire, year-round sporting and cultural activities not to mention free food and drinks in our Hub!

How Do I Apply?

If you are interested in this opportunity please APPLY below.

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