About this role
Data Scientist
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.
Skills of Ideal Candidate: 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 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. Exceptional 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. Experience building LLM-powered applications, including retrieval-augmented generation (RAG) pipelines, prompt design, and evaluation of model output quality. Experience fine-tuning open-source LLMs (e.g., Llama, Mistral, Qwen) using techniques such as LoRA/QLoRA, including dataset preparation, training, and evaluation against base-model performance.
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.
AFC
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Our Amenities Our Home Office in Oklahoma City features numerous onsite amenities and our open work environment helps foster teamwork. The majority of our Colleagues split their time between working from home and coming to the office, depending on their role and business needs.
Onsite Amenities include:
- Medical Clinic available onsite and virtually
- Waterfront Grill
- Free Parking Garages
- Walking Trails
- Basketball and Pickleball Courts
- Fitness Center with state of the art equipment and personal training
Our Culture We strive to be a collaborative and open workplace where Colleagues enjoy coming to work because they know they are a valued and essential part of providing a different opinion! Whether you’re in the office or working from home, we take every effort to make sure everyone feels included. Technology brings everyone together, with video calls, chat and our social intranet. Our events include virtual options so everyone can get in on the fun. We want every Colleague to feel like part of the team, no matter where they are located! Our Colleagues are what makes us a Great Place to Work for All!
Day in the Life At American Fidelity, we’re all about making a difference. Our Colleagues work hard to provide a different opinion to our Customers each day. Whether that’s through streamlined technology, personalized customer service, serving the community or enrolling our policy holders, everything you will do during your career at AF helps us provide a different opinion.
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