HAYS Poland jest firmą doradztwa personalnego, należącą do międzynarodowej grupy HAYS plc, notowanej na giełdzie w Londynie i największej firmy rekrutacyjnej w Wielkiej Brytanii.
Grupa posiada ponad 390 biur w 27 krajach na całym świecie, w których łącznie pracuje 8 300 specjalistów. Jest liderem w Europie Środkowej i Wschodniej, Azji, Ameryce Południowej, Australii, Nowej Zelandii, Chinach, Japonii, Hong Kongu i Kanadzie.
Machine Learning Specialist
Miejsce pracy: Warszawa
Nr ref.: 1109390
Hays IT Contracting is an up-to-date B2B form of employment for IT specialists with innovate and developmental projects for TOP Clients close at hand. For our Client we are currently looking for qualified Candidates for the position of: Machine Learning Engineer
Location: Warsaw
Job type: contract B2B
Length: no end date
Rate: 700- 850 zł/MD
Requirements:
Hypothesis Testing,
Estimation,
Multivariate Linear and Nonlinear Models,
Binary Choice Models,
Stationary and Nonstationary Time Series Models,
Panel Data Models
ANOVA/ANCOVA,
optimisation techniques,
time series modelling,
segmentation,
decision tree,
clustering and simulation based analysis
Our offer:
Location: Warsaw
Job type: contract B2B
Length: no end date
Rate: 700- 850 zł/MD
Requirements:
- Proficiency in programming in R, Python, SAS
- Proficiency in Data analysis, interpreting, explaining & basic visualisation:
Hypothesis Testing,
Estimation,
Multivariate Linear and Nonlinear Models,
Binary Choice Models,
Stationary and Nonstationary Time Series Models,
Panel Data Models
- Knowledge of MATLAB would be an added skill
- Experience in handling large datasets
- Experience in Machine Learning solutions development
- Good English verbal and written communication
- Degree in computer science engineering or advanced degree in economics/statistics
- Knowledge of models using:
ANOVA/ANCOVA,
optimisation techniques,
time series modelling,
segmentation,
decision tree,
clustering and simulation based analysis
Our offer:
- Competitive salary
- Possibilities: variety of projects to participate in development, working closely with big brands, meeting great people
- Real impact on the project – if you are good, you are independent in making decisions
- Fast learning opportunities
- Preferential conditions for benefits: medical and sport package