Principal Data Scientist

DevSelect

$130K — $180K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • PhD in Computer Science, Electrical Engineering, Statistics, Mathematics, Operations Research, or a related field.
  • Expertise in machine learning and data mining techniques, particularly in statistical modeling, time series, and text mining.
  • Proven ability to prototype statistical analysis and modeling algorithms for innovative solutions.
  • Experience in the telecom industry is preferred.
  • Familiarity with distributed computing systems is advantageous.

Responsibilities

  • Utilize data mining techniques for diverse applications catering to enterprise and consumer users.
  • Implement machine learning techniques like predictive modeling and anomaly detection.
  • Analyze structured and unstructured data from various sources and formats.
  • Develop algorithms to apply statistical analysis for addressing complex problems.
  • Collaborate with cross-functional teams to translate business requirements into data-driven solutions.

Benefits

  • Opportunity to work with cutting-edge machine learning and statistical techniques.
  • Dynamic work environment with exposure to diverse data sources.
  • Collaboration with industry experts in the telecom domain.
  • Chance to impact enterprise and consumer applications through data-driven insights.
Full Job Description
Our Client is looking for Data Scientists who are dedicated to data mining techniques for various applications serving enterprise and consumer end-users.
Understanding of machine learning techniques including predictive modeling, text and image mining, clustering, deep learning, anomaly detection, forecasting methods and other advanced statistical techniques.
You will work with data from diverse structured and unstructured data sources in both batch and streaming modes, and various formats including tabular, image/video, audio, text and time series etc...
Qualifications:
  • PhD degree in Computer Science, Electrical Engineering, Statistics, Mathematics, Operations Research or similar technical field
  • Knowledge of machine learning and data mining techniques in one or more areas of statistical modeling methods, time series, text mining, optimization, information retrieval
  • Ability to prototype statistical analysis and modeling algorithms and apply these algorithms for data driven solutions to problems in new domains
  • Telecom experience desired
  • Distributed computing systems knowledge is a plus

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