
Website Afiniti
About the job
Who are we?
Afiniti is the world’s leading applied artificial intelligence and advanced analytics provider. Afiniti Enterprise Behavioral Pairing™ uses artificial intelligence to identify subtle and valuable patterns of human interaction in order to pair individuals on the basis of behavior, leading to more successful interactions and measurable increases in enterprise profitability. Afiniti operates throughout the world, and has measurably driven billions of dollars in incremental value for our clients.
Key Responsibilities
- The candidate will work in an AI team to provide high quality results for our clients
- The candidate will evaluate customer requests and prepare methods that provide value-added answers to the clients
- The candidate will develop solutions that give critical insights to the clients
- The candidate will use classification, clustering, machine learning and statistical models
- The candidate will test models and algorithms on datasets of very different dimensions
You will have
- 4+ years of industry experience in AI, predictive modeling, data science
- Previous experience in a ML or data scientist role and a track record of building ML or DL models
- Experience using Python and/or R
- Able to write production level code
- Experience using ML libraries, such as scikit-learn, caret, mlr, mllib
- Experience handling terabyte size datasets
- Experience in exploring data to discover hidden patterns
- Familiarity with using data visualization tools and with data presentation
- Experience in writing queries with SQL
- Strong interpersonal and communication skills (both written and verbal)
- Ability to discuss mathematical and machine learning technicalities with non-technical audiences
Education & Qualifications
- A Master’s Degree or Ph.D. in in a quantitative discipline (Mathematics, Engineering, Computer Science, Statistics)
Salary & Package
As well as a competitive base salary dependent on the number of years of experience, we also offer corporate benefits.
To apply for this job please visit www.linkedin.com.