Data Science Analyst - Remote / Telecommute, Cynet Systems, All cities, AK


Cynet Systems -
N/A
All cities, AK, US
N/A

Data Science Analyst - Remote / Telecommute

Job description

Job Description:

  • Create and Implement complex models and algorithms as instructed to drive analytical solutions throughout the organization.
  • Conduct advanced statistical and visualize exploratory analysis as instructed to provide actionable insights, identify trends, and measure performance.
  • Utilize modern cloud technologies and employ best practices from DevOps/MLOps to produce enterprise-quality production Python and SQL code as part of an agile team.
  • ctively participate in problem-solving to enrich possible solutions and flexibly seek out new work or training opportunities to broaden experience.
  • Collaborate with the agile team to communicate the design, functioning, and output of models, analysis, and solutions developed.
  • Performs other duties as required.
Qualifications:

Minimum Requirements:
  • Bachelors degree in a technical engineering or analytical field (Statistics, Mathematics, etc.) or related discipline and one (1) year of relevant work experience.
  • Bachelors degree in a technical engineering or analytical field (Statistics, Mathematics, etc.) or related discipline and one (1) internship in Data Analytics, Data Science, or an analytics-related field that included data analysis as part of the internship.
  • Masters degree in a technical engineering or analytical field (Statistics, Mathematics, etc.) or related discipline.
  • Python and SQL Programming Experience.
  • bility to articulate theoretical concepts in at least one of the following analytical areas.
  • Statistics & Statistical Modeling, including Time-Series Modeling.
  • Simulation Techniques, including MCMC or an equivalent.
  • Neural Networks / Deep Learning.
  • Tree Based Machine Learning Algorithms.
  • Unsupervised Learning.
  • Classification techniques, including Support Vector Machines or an equivalent
  • Optimization Heuristics.
  • Text Analytics.
  • bility to visualize data utilizing programmatic techniques.
  • Working knowledge of the Data Science development workflow including data manipulation and cleaning, feature engineering, model selection, model training, model validation, model deployment .
Preferred Qualifications:
  • Working Knowledge of MLOps/DevOps concepts (Version Control, CI/CD, Trunk Based Development/PR Based Development/GIT, Test-driven development)
  • Working Knowledge of Azure Machine Learning Environment.
  • Working Knowledge of Software Engineering and Object Orient Programming Principles.
  • Working Knowledge of Distributed Parallel Processing Environments such as Spark or Snowflake.
  • Working Knowledge of Edge Analytics, embedded systems, or computer vision.
  • Working Knowledge of Data Architecture, engineering, and ETL teams.
  • Working knowledge of problem-solving/root cause analysis on Production workloads
  • Working Knowledge of Agile, Scrum, and Kanban.
  • Confident and experienced in public speaking to large audiences and storytelling with data.

Full-time 2024-07-09
N/A
N/A
USD

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