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Job Purpose

Jackson's Strategic Support Program (SSP) is designed to create a talent pipeline, providing on-demand staffing to various departments and teams within our organization. As a Strategic Support Associate (SSA), you'll join our diverse population of associates, performing critical daily business support functions which directly impact customer satisfaction. This flexible, part-time role lets you build your own schedule. Whether you're starting your career or looking to accelerate your professional skillset, this position offers plentiful opportunities to learn and grow within a fast-paced environment. Investing in your professional development is a top priority and we offer many resources to support long-term career growth.The Data Science and AI Strategic Support Associate performs advanced AI, predictive modeling and analysis in support of the Data Science and AI Delivery team within Jackson Holdings LLC (Jackson). This position provides data, analytics and engineering services as requested to develop and operationalize AI and Data Science solutions that provide insights to optimize key business outcomes in partnership with other AI engineers, Data Scientists, analytics leaders and process leaders across the organization.

Essential Responsibilities

• Develops AI solutions leveraging Natural Language Processing techniques, text representation techniques and other AI methodologies.
• Identifies approaches to model high dimensional sparse data that may require the use of imputation methods.
• Assists in the application of techniques including linear and non-linear approaches, clustering, decision trees, boosting, deep learning, text mining, and other types of machine learning techniques to improve prediction performance.
• Prepares and analyzes data to develop recommendations and strategies.
• Works in high performance computing environments to train and test computationally intensive models/algorithms.
• Utilizes data visualization to ensure that data analysis is easily consumable by the business.
• Demonstrates a willingness to learn.
• Works well independently and within a team.
• Exhibits good time management skills in a high-volume, fast-paced environment.
• Demonstrates good verbal and written communication skills.
• Displays problem solving skills.
• Organizes work efficiently and prioritize tasks.
• Develops models leveraging advanced statistical modeling, machine learning and/or data mining techniques.

Other Duties

• Performs other duties and/or projects as assigned.

Knowledge, Skills and Abilities

• Strong knowledge of advanced statistical methods, Bayesian learning techniques, pattern recognition and outlier detection algorithms, as well as advanced topics such as decision trees, random forests, neural networks and other deep learning methods.
• Knowledge of one or more languages used in machine learning and statistical modeling such as Python and R.
• Knowledge of text mining methodologies, language models, or other AI techniques, such as sentiment analysis preferred.
• Familiarity with one or more script-based data visualization tools, such as PowerBI, Tableau, ggplot, matplotlib, Shiny, or D3.
• Familiarity in computer processes and methods, with languages such as C/C++, Java, C#, SQL, Perl, Python.
• Familiarity with UNIX, shell scripting, distributed/parallel computing, a scripting language such as Python or Perl or similar.
• Familiarity with regular expressions; familiarity with state-of-the-art database techniques.
• Ability to mine datasets and develop models built on large volumes of information collected by Jackson.
• Understanding of the principles and techniques in generative AI and large language models (LLMs), including GPT, RAG, and Transformer architectures.
• Strong communication and presentation skills to convey complex and technical information both verbally and in writing.
• Shifts offered from 6:30 AM – 8:00 PM, Monday-Friday.
• Minimum requirement of 18 hours per week between the hours of 7am-6pm, Monday-Friday, maximum of 29 hours.
• First week Availability required a four hour duration for orientation
• Self-driven schedules based on your unique availability, with changes allowed up to 24 hours in advance.
• Ability to collaborate with cross-functional teams and effectively present insights and findings.

Qualifications

• GED or High School Equivalency required.

• Bachelor's Degree Completion of or working towards a Bachelor’s degree in statistics, data science, computational or mathematical finance, computer science, engineering or related technical field required.

• Completion or working towards a Graduate degree in statistics, data science, computational or mathematical finance, computer science, engineering or related technical field preferred.

• Experience in major machine learning frameworks and tools such as Spark ML/MLlib, Scikit-Learn, Pandas, PyTorch, TensorFlow, etc. preferred.

• Experience in natural language processing and text mining preferred.

• Experience in generative AI and large language models (LLMs) preferred. preferred.

We don't just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Jackson is proud to be an equal opportunity workplace. The Company subscribes to and endorses federal and state laws and regulations relating to equal employment opportunity for all persons without regard to race, color, religion, gender, age, national origin, legally-recognized disability, marital status, legally-protected medical condition, citizenship, ancestry, height, weight, sexual orientation, veteran status, or any other factor not related to the needs of the job. The Company is committed to a policy of equal opportunity. Company facilities and campuses are tobacco-free environments.