AllStates Consulting Services logo
AllStates Consulting Services
Posted 32 days agoVerified live 13h ago

Data Scientist/Machine Learning Scientist (Various Levels)

Brief overview

Remote
UndergradOr in progress
Machine LearningStatistical AnalysisRandom ForestGradient BoostingXGBoostSupport Vector MachinesDeep LearningK-meansDBSCANSQLPythonScalaPySparkSparkR

About the company

AllStates Consulting Services logo
AllStates Consulting Servicesallstatesconsulting.net

AllStates Consulting Services offers technical staffing solutions and IT professional services.

Job description

Summary

AllStates Consulting Services is seeking Data Scientist/Machine Learning Scientist professionals for its centralized AI and Data Science team. The role partners with product teams to solve complex business challenges through statistical analysis and machine learning, while developing, monitoring, and communicating model-driven solutions.

Responsibilities

  • Define and solve complex business problems using statistical analysis and machine learning
  • Design, develop, implement, and monitor models throughout their lifecycle
  • Collaborate with business and technical teams to identify process improvements and analytics use cases
  • Evaluate the accuracy and quality of data sources and models
  • Communicate findings and recommendations effectively to technical and nontechnical stakeholders
  • Stay current with emerging machine learning models, tools, and technologies

Skills

  • Strong knowledge of machine learning techniques such as Random Forest, Gradient Boosting, XGBoost, Support Vector Machines, deep learning, K-means, and DBSCAN
  • Advanced proficiency with SQL and Python or Scala
  • Experience with big-data technologies such as PySpark and SparkR
  • Strong analytical, written, and verbal communication skills
  • Bachelor's, master's, or Ph.D. in Computer Science, Electrical Engineering, Machine Learning, Statistics, or a related field

Qualifications

Must Haves

  • Strong knowledge of machine learning techniques such as Random Forest, Gradient Boosting, XGBoost, Support Vector Machines, deep learning, K-means, and DBSCAN
  • Advanced proficiency with SQL and Python or Scala
  • Experience with big-data technologies such as PySpark and SparkR
  • Strong analytical, written, and verbal communication skills
  • Bachelor's, master's, or Ph.D. in Computer Science, Electrical Engineering, Machine Learning, Statistics, or a related field

Benefits

  • Candidates in the Atlanta area: Hybrid, with two days per week in the office.
  • Candidates outside the Atlanta area: Fully remote

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