Senior Data Scientist: Time Series & Predictive Manufacturing
Padran Inc.
Turkey (NC)
On-site
USD 90,000 - 140,000
Full time
14 days+
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Benefits offered by this job
Opportunity to work with leading companies
Career development opportunities
Certification opportunities
Job summary
A consultancy firm in the United States is seeking a Senior Data Scientist to collaborate on projects with leading companies in Turkey. The ideal candidate will possess a Bachelor’s or Master’s degree in Data Science or related fields and have over four years of hands-on experience in data science. Proficiency in Python, machine learning frameworks, and deep knowledge of time series modeling are essential, along with strong communication skills. This role offers opportunities for career development in an innovative environment.
Qualifications
4+ years of hands-on experience in data science.
Demonstrated expertise in model building and data analysis.
Strong understanding of business processes and advanced analytics.
Responsibilities
Design, build, and deploy advanced time series and forecasting models.
Implement and optimize algorithms to forecast trends and anomalies.
Develop predictive quality models to assess product quality.
Oversee the lifecycle of machine learning models.
Collaborate with domain experts and stakeholders.
Skills
Proficiency in Python
Time Series Modeling
Sensor Data Expertise
Data Processing
Application Areas
Database systems knowledge
ML frameworks proficiency
Manufacturing experience
Knowledge of edge computing
Communication skills
Education
Bachelor’s or Master’s in Data Science, Statistics, Engineering, Computer Science
Tools
TensorFlow
PyTorch
Scikit-Learn
Docker
Kubernetes
Job description
A consultancy firm in the United States is seeking a Senior Data Scientist to collaborate on projects with leading companies in Turkey. The ideal candidate will possess a Bachelor’s or Master’s degree in Data Science or related fields and have over four years of hands-on experience in data science. Proficiency in Python, machine learning frameworks, and deep knowledge of time series modeling are essential, along with strong communication skills. This role offers opportunities for career development in an innovative environment.