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.
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