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Lead Data Scientist

League City, TX, US, 77573

Who we are.

American National is a successful and stable corporation guided by five core values: Financial Strength, Integrity, Respect, Service and Teamwork. We are among America’s Most Trustworthy Financial Companies according to Forbes. We’ve spent the last 110+ years earning this reputation and we work each day to expand this legacy. We know we’re not just selling insurance, we’re providing security and peace of mind to our 5 million policyholders.


The growth, innovation and success of American National are driven by our incredible employees who thrive on delivering exceptional service to our clients. Success begins and ends with our people. Their loyalty and dedication to American National is why we’re successful.

If you share our values and can contribute to our mission of providing the highest quality service to our clients, we want to hear from you!


Why join us?

We know that our employees’ lives encompass much more than the time they spend at work. To help them maintain a healthy work/life balance, we’ve compiled a generous benefits package, including: medical, dental, vision, short and long-term disability, life insurance, flexible spending account, matching 401(k), paid time off, paid holidays, tuition reimbursement and referral bonuses.


We’ve also incorporated unique benefits like our volunteer program where employees are provided PTO for giving their time to a non-profit of their choice. Healthy employees are productive employees so we also have a comprehensive wellness program that includes onsite fitness centers and classes or discounted gym memberships, free health screenings, free flu shots, and more. ​


Lead Data Scientist

The Lead Data Scientist utilizes their analytical, statistical and programming skills to collect analyze and interpret large datasets. Responsible for developing data-driven solutions to difficult business challenges. Lead Data Scientist should be a Subject Matter Expert in Statistical Analysis, Predictive Modelling. This person will manage a small team and act as an individual contributor. This person will consult on best practices when planning/implementing Analytics projects.



  • Problem Analysis and Project Management - Guide and inspire the organization about the business potential and strategy of artificial intelligence (AI)/data science. Identify data-driven/ML (machine learning) business opportunities.
  • Data Collection and Integration - Understand new data sources and process pipelines, and catalog/document them. Acquire access to various databases, and other source systems such as SQL or graph databases, (Help to) create data pipelines for more efficient and repeatable data science projects.
  • Data Exploration and Preparation -Apply statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed Stochastic Neighbor Embedding (t-SNE), principal components analysis (PCA). Generate hypotheses about the underlying mechanics of the business process. Test hypotheses using various quantitative methods. Display drive and curiosity to understand the business process to its core. Network with domain experts to better understand the business mechanics that generated the data.                                                    
  • Machine Learning - Apply various ML (machine learning) and advanced analytics techniques to perform classification or prediction tasks, Integrate domain knowledge into the ML solution; for example, from an understanding of financial risk, customer journey, quality prediction, sales, marketing. Testing of ML models, such as cross-validation, A/B testing, bias and fairness
  • Operationalization - Establish best practices around ML (machine learning) production infrastructure.
  • Other - Train peers on specialist data science topics.


  • Bachelor’s or Master's/PhD Degree in Computer Science, Statistics, Applied Math or related field.
  • 8+ years’ experience as a Data Scientist in a reputed organization.
  • Experience with distributed data/computing tools: Map Reduce, Hadoop, Hive, and Kafka. Project Management experience desired but not required.


Hiring Practices

The preceding job posting has been designed to indicate the general nature and level of work performed by employees assigned to this role. It is not intended to be interpreted as a comprehensive list of all duties, responsibilities and qualifications.


American National’s recruitment policies help us place individuals in a timely and efficient manner. Only the most qualified candidates will be contacted by our recruiting team. Candidates always have the ability to determine their application status by logging into our Career Portal.


Learn more about our culture by following us on social media: LinkedIn, Facebook, Instagram, Twitter: @CareerswithAN


American National is an Equal Opportunity Employer. We provide equal opportunity to all qualified individuals regardless of race, color, religion, age, gender, gender expression, national origin, veteran status, disability or any other legally protected categories.



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“If you believe you can make a difference in the lives of our clients, if you’re willing to work hard, if you want a fulfilling career, and if your values match ours, then I want you to work for American National. ” – James Pozzi, President and CEO.




Nearest Major Market: Galveston
Nearest Secondary Market: Houston

Job Segment: Database, Social Media, Computer Science, SQL, Project Manager, Technology, Marketing

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