TLA is seeking an experienced and curious Data Scientist to join our team and transform complex data into actionable insights that drive strategic business decisions. The ideal candidate will combine expertise in statistics, programming, and machine learning to solve real-world problems and enable smarter business processes through analytics. You will work cross-functionally to define requirements, build predictive models, and communicate findings to technical and non-technical stakeholders.

Key Responsibilities

Data Collection & Preparation: Collect, clean, and preprocess large, complex datasets from various internal and external sources to ensure data integrity and usability
Exploratory Data Analysis (EDA): Perform in-depth exploratory data analysis to identify patterns, trends, anomalies, and uncover hidden opportunities
Model Development & Implementation: Design, develop, test, and validate statistical and machine learning models (e.g., classification, regression, clustering) to forecast trends, optimize operations, and improve product offerings
Data Storytelling & Communication: Translate complex technical findings and data insights into clear, compelling narratives and visualizations (reports, dashboards, presentations) for key decision-makers across the organization
Collaboration: Partner with data engineers, software developers, and business stakeholders (marketing, product, operations) to implement data-driven solutions and integrate models into production environments
Experimentation: Design and execute A/B testing and other experiments to measure the effectiveness of new initiatives and continuously improve model performance

Innovation: Stay up-to-date with the latest tools, technologies, and methodologies in the data science field, including AI and large language models (LLMs), to drive innovation

Requirements

Education: Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Engineering, or a related discipline
Experience: 3+ years of hands-on industry experience in a data science or machine learning role
Programming Languages: Strong proficiency in Python or R for data analysis and statistical modeling, and advanced knowledge of SQL for data extraction and manipulation
Machine Learning: Practical experience applying a range of machine learning techniques and algorithms (e.g., scikit-learn, TensorFlow, PyTorch)
Data Visualization: Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn) to present data insights effectively
Analytical Skills: Strong analytical and problem-solving abilities, with an emphasis on critical thinking and the scientific method
Communication: Excellent verbal and written communication skills with the ability to explain complex data science concepts to non-technical audiences

Preferred Certifications

Microsoft Certified: Azure Data Scientist Associate
IBM Data Science Professional Certificate
Certified Analytics Professional (CAP)
AWS Certified Machine Learning - Specialty

TensorFlow Developer Certificate

Benefits

At TLA, we build solutions that matter—supporting national security missions through technology innovation, collaboration, and excellence. Our team is passionate about leveraging modern technologies to deliver impactful, mission-focused outcomes for our customers.

We offer a competitive and comprehensive benefits package including:

Competitive salary and performance bonuses
Medical, dental, and vision coverage
Paid time off and federal holidays
401(k) with company match
Education and certification reimbursement
Training and professional development opportunities
Employee referral bonuses and team events

TLA is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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