Senior Data Scientist - AI Recommendations
Senior Data Scientist - AI Recommendations
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1 Vacancy
Job Description
Join SEEKs Artificial Intelligence Platform Services team in Malaysia and help millions of job seekers find their perfect roles! As part of our Recommendations Squad youll blend data science research and ML engineering to build AI solutions that connect the right candidates with the right opportunities at internet scale.
What Youll Do
Transform business challenges into data-driven solutions research and deploy cutting-edge recommendation systems and collaborate with cross-functional teams to revolutionize how people find jobs. Youll work with massive datasets explore emerging ML techniques and directly impact job placements across SEEKs global platforms.
- Translate business challenges into clear data-driven problem statements
- Gather and validate relevant data for analysis
- Build and deploy AI recommendation systems that connect candidates with recruiters
- Optimize job matching algorithms to improve placement success rates
- Partner with cross-functional teams on complex business problems
- Lead end-to-end solution development from concept to deployment
- Research emerging ML technologies and methodologies
Qualifications :
What Were Looking For
- Bachelors/Masters/PhD in Data Science ML Computer Science or related field
- 3-5 years of applied data science and ML experience in business environments
- Strong skills in SQL Spark Python/Scala/Go
- Deep expertise in classification ranking and recommendation systems
- Excellent communication skills for technical and non-technical audiences
Bonus Points For
- Deep learning experience (Transformers NLP) large language models and thriving in fast-paced agile environments.
- Ready to use AI to change how the world works Join our collaborative team where your innovations directly help people build better careers.
Additional Information :
The Team
The Artificial Intelligence Platform Services (AIPS) is structured into cross-disciplinary squad with members from Data Science Strategy and Engineering who work together to research design build and support end-to-end machine learning based products delivering direct value to hirers and job seekers.
At SEEK we offer:
- Annual Performance Bonus Plan
- 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
- Tailored career development planning (including Education Assistance Program)
- Professional development sessions with industry leading guest speakers
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 dont 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 with 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.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
