Data Scientist
AFC American Fidelity Corporation · Oklahoma City, Oklahoma
The role
The role involves working with large, complex datasets to solve non-routine analysis problems, building analysis pipelines, and applying advanced methods like machine learning and optimization. The position requires expertise in statistical software, database languages, and big data tools, and is hybrid based in the Oklahoma City metro area.
- Location
- Oklahoma City, Oklahoma
- Work mode
- Hybrid
- Level
- Mid
- Education
- Masters
What we know that the posting doesn’t say
- Seen todaystill listed on the employer’s careers page
- Posted 25 days agothe first time we saw it
About AFC American Fidelity Corporation
American Fidelity Corporation is a company that appears to be in the insurance or financial services sector, but the description does not provide details about its operations.
What you would do
- Work with large, complex datasets to solve difficult, non-routine analysis problems
- Apply advanced analytical methods for end-to-end analysis including data gathering, processing, and presentations
- Engineer analysis pipelines iteratively to provide insights at scale
- Develop comprehensive understanding of data structures and metrics, advocating for changes in systems and processes
- Research and engineer analysis, forecasting, machine learning, deep learning, and optimization methods
- Apply methods to areas like customer segmentation and end-user behavioral modeling
Must have
- Expert in multiple statistical software like R, Python, Julia, MATLAB, pandas
- Expert in database languages such as SQL
- Experience creating data visualizations and dashboards using Tableau, Qlik, Power BI, RShiny, plotly, d3.js
- Applied experience with machine learning on large datasets using Hadoop or Spark
- Expert in deep learning and neural networks using TensorFlow
- Expert in multiple major programming languages like C/C++, C#, Java, Python
- Expert in optimization modeling languages like AMPL, GAMS, AIMMS, OPL
- Experience with data architecture, data cleaning, feature engineering, and predictive analytics
- Strong background in modeling large-scale discrete, nonlinear, or stochastic optimization
- Familiarity with natural language processing, machine learning, statistical modeling, predictive modeling, hypothesis testing
- Familiarity with structured and unstructured data, including textual data
- Master's degree in related field required
Experience and education
- Masters degree or equivalent experience
Key skills
- r
- python
- julia
- matlab
- pandas
- scikit-learn
- sql
- tableau
- qlik
- power bi
- rshiny
- plotly
- d3.js
- hadoop
- spark
- tensorflow
- c
- c++
- c#
- java
- ampl
- gams
- aimms
- opl
Job Description: Work with large, complex data sets using to solve difficult, non-routine analysis problems, applying advanced analytical methods as needed to complete end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and…
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