Data Scientist

americanfidelity; Oklahoma City (OK); Hybrid; USD 90,000 - 140,000; Full time

Job summary

American Fidelity in Oklahoma City seeks a senior data scientist to tackle large, complex data sets and build end-to-end analytics solutions, from data gathering and requirements specification to modeling, forecasting, and presenting insights to stakeholders.

The role emphasizes advanced statistical methods, machine learning, and deep learning, with strong skills in Python, SQL, and data visualization. Hybrid work in OKC metro with collaboration across business units.

Qualifications

• Master's degree in a related field.
• Experience delivering end-to-end analytics projects.
• Strong communication with business stakeholders.

Responsibilities

• Analyze large, complex data sets and build predictive models.
• Conduct forecasting and statistical analysis to inform decisions.
• Develop and deploy data visualizations and dashboards.
• Collaborate with cross-functional teams to translate business needs into analytics solutions.

Skills

Statistical analysis

Machine learning

Data visualization

Python

SQL

Big Data

Deep learning

Communication skills

Optimization

Education

Master's degree in related field

Tools

Tableau

Power BI

R

MATLAB

RShiny

Plotly

D3.js

Spark

Hadoop

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.

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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