Data Scientist Intern

Job Description

About American Equity Investment Life Holding Company®

American Equity Investment Life Holding Company® is a leading provider of annuity products, empowering clients to fulfill their retirement needs and wants. They are headquartered in West Des Moines, Iowa, with over 25 years of experience and satellite offices in Charlotte, NC and New York, NY. Their success is attributed to hiring high-energy individuals who embody the beliefs that drive their unique culture. American Equity currently funds over half a million retirements nationwide.

Data Scientist Intern Job Description

General Purpose of the Job

The Data Scientist Intern, as a member of the Data Analytics & Reporting Center of Excellence (COE), will utilize their skills in artificial intelligence, machine learning, advanced analytics, statistical analysis, and programming to develop data-driven solutions supporting corporate initiatives.

Essential Duties and Responsibilities

• Shadowing: Observe and learn from experienced Business Intelligence Developers, Data Analysts, and Data Scientists to understand the role’s essential duties and functions.
• COE Contribution: Contribute to a Center of Excellence (COE) model, leveraging company data to drive business decisions.
• Advanced Analytics: Apply various advanced analytics techniques, including data aggregation, statistical modeling, predictive modeling, and machine learning.
• Project Participation: Engage in complex data-related analytical projects that drive business decisions and efficiencies.
• Collaboration: Work with business partners to develop innovative ways to meet objectives using data, cutting-edge techniques, and tools.
• Communication: Effectively communicate analytical approaches and their impact on objectives to business partners.
• Data Governance: Adhere to data management and data governance policies and standards.
• Other Responsibilities: Perform other related tasks as assigned.

Supervisory Responsibilities

• Direct Reports: None
• Indirect Reports: None

Education and/or Experience

• Active Pursuit: Actively pursuing a bachelor’s degree in a quantitative field such as statistics, mathematics, computer science, or data science.
• Graduate Degree: Hold a graduate degree in a quantitative discipline and demonstrate a proven Data Science skillset.

Certificates, Licenses, Professional Designations

• N/A

Knowledge, Skills, and Abilities

• Technical Skills: Experience with SQL queries, feature engineering, data analysis, data tools, building prototypes, using and creating algorithms, and creating simulations.
• Programming: Experience using statistical computer languages such as Python or R.
• Statistical and Machine Learning: Knowledge and experience in statistical and machine learning techniques including GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
• Advanced Algorithms: Experience creating and using advanced machine learning algorithms and statistics including regression, classification, anomaly detection, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. on large datasets.
• Data Merging and Transformation: Experience merging and transforming disparate internal and external datasets together.
• BI Tools: Experience using BI tools like Tableau and Power BI.
• Soft Skills: Strong organizational and planning skills, excellent communication skills, ability to effectively present information to stakeholders, and the ability to handle pressure and meet deadlines in a fast-paced work environment.

Note: This description covers the major purpose and essential functions of the job. It is not intended to give all details or a step-by-step account of the way each task is to be performed. Employees may receive other job-related instructions and be required to perform other job-related work requested by their manager. All requirements are subject to possible modification to provide reasonable accommodation to qualified individuals with disabilities.