Data Scientist

American Fidelity; Oklahoma City (OK); Hybrid; USD 85,000 - 120,000; Full time

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

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 presentations.

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 presentations.

Engineer analysis pipelines iteratively to provide insights at scale. Develop comprehensive understanding of data structures and metrics, advocating for changes where needed in systems, products and processes.

Research and engineer analysis, forecasting, machine learning, deep learning, neural networks, artificial intelligence and optimization methods to improve the quality of products; example application areas include customer segmentation modeling and end-user behavioral modeling/prediction.

Technical Skills And Requirements

• Expert in multiple statistical software (e.g., R, Python, Julia, MATLAB, pandas) and associated data science libraries (scikit-learn).
• Expert in database languages (e.g., SQL).
• Experience creating meaningful data visualizations and/or interactive dashboards that communicate findings and business impacts using platforms such as Tableau, Qlik, Power BI, RShiny, plotly, and d3.js.
• Applied experience with machine learning on large datasets using Big Data tools such as Apache’s Hadoop or Spark
• Expert in deep learning techniques and neural networks using languages such as as TensorFlow
• Expert in multiple major programming language (C/C++. C#, Java, Python, etc.) or optimization modeling languages (AMPL, GAMS, AIMMS, OPL, etc.)
• Experience with data science methods related to data architecture, data cleaning, data and feature engineering, and predictive analytics.
• Strong background in modeling large scale discrete, nonlinear or stochastic mathematical optimization models and engineering efficient optimization algorithms.
• Familiarity with natural language processing, machine learning, statistical modeling, predictive modeling, and hypothesis testing.
• Familiarity working with both structured and unstructured data, including textual data.
• Ability to work in a fast-paced environment.
• Exceptionally strong communication skills, including written, verbal and listening which can be deployed successfully when addressing entry level Colleagues to management to senior executives. This includes the ability to speak confidently in both business and technological surroundings and appropriately transliterate between the two.
• Exceptional analytical thinking and problem solving skills.
• Exceptional understanding of business and business strategy.
• Exceptional planning skills.
• Exceptional organizational skill and ability to work autonomously.

Education

Master's degree in related field required.

Location

This is a hybrid position. Applicants must be located in OKC Metro area or willing to relocate.

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