Hybrid Data Scientist: ML, Big Data & Insights

American Fidelity

Oklahoma City (OK)

Hybrid

USD 85,000 - 120,000

Full time

14 days+

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Job summary

American Fidelity in OKC is seeking a data science professional to tackle large, complex datasets and build end-to-end analytical solutions. You will design and optimize analysis pipelines, deliver insights, and present findings to stakeholders across business units.

Responsibilities include applying ML/forecasting techniques, developing dashboards, and communicating results to executives. A strong background in statistics, programming, and data visualization is required, with a hybrid OKC

Qualifications

  • Master's degree in a related field is required.
  • Proficient in statistical software and data science libraries.
  • Strong SQL and data visualization skills with dashboards.
  • Experience with machine learning on large datasets.
  • Experience with Hadoop or Spark.
  • Strong programming skills in Python, R, or Java.
  • Ability to work in a fast-paced environment and communicate clearly.

Responsibilities

  • Work with large, complex data sets to solve non-routine analysis problems end-to-end.
  • Engineer analysis pipelines and provide scalable insights.
  • Research and apply ML, forecasting, and optimization to improve products.

Skills

Statistical software
SQL
Data visualization
Big Data (Hadoop/Spark)
Deep learning
Programming languages
Optimization modeling
NLP basics
Communication

Education

Master's degree

Tools

Python
R
MATLAB
pandas
TensorFlow
Tableau
Power BI
SQL
Spark

Job description

American Fidelity in OKC is seeking a data science professional to tackle large, complex datasets and build end-to-end analytical solutions. You will design and optimize analysis pipelines, deliver insights, and present findings to stakeholders across business units.

Responsibilities include applying ML/forecasting techniques, developing dashboards, and communicating results to executives. A strong background in statistics, programming, and data visualization is required, with a hybrid OKC

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