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# Data Scientist II - Remote

- **Company:** Washington and Idaho Railway Inc
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Information Systems, Computer Programming, Information Engineering, Data Mining, Data Visualization, Apache Hadoop, Apache Hive, Python (Programming Language), Machine Learning, Natural Language Processing, Raw Data, Tensorflow, Software Engineering, SQL Databases, Data Storage Technologies, Pytorch, Snowflake, Apache Spark, Deep Learning, Keras, Scikit Learn, Information Technology, Data Analytics, Xgboost, Data Management, Machine Learning Operations, Recurrent Neural Networks, Databricks
- **Published:** October 20, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/psz9sg98gu

## About the Role

* Bachelor's degree in Computer Science, Information Systems, Business Analytics, Mathematics, Statistics, Engineering, or related technical field; advanced degree preferred.
 * Minimum of 5 years of experience in data engineering, machine learning, and big data analytics architectures.
 * Proficiency with machine learning frameworks such as Scikit-learn, TensorFlow, PyTorch, Keras, and algorithms including CNN, GAN, LSTM, RNN, and XGBoost.
 * Extensive programming experience in Python, Scala, or Julia.
 * Hands-on experience with cloud platforms like AWS, Azure, or GCP, including data storage and compute environments such as Sagemaker, Databricks, or AI-platform.
 * Experience deploying ML models into production environments with MLOps practices.
 * Strong knowledge of big data tools such as Hadoop, Spark, SQL, HIVE, and Snowflake.
 * Active U.S. Government Secret security clearance or eligibility to obtain one.
 * U.S. citizenship is mandatory.
 * Excellent communication, presentation, and interpersonal skills.
 * Proven leadership, self-direction, and ability to work effectively in agile teams.
 * Research experience with publications in scientific journals or conferences.
 * Ability to analyze large datasets, develop visualizations, and communicate complex insights clearly to diverse audiences.

## Description

The Data Scientist II role at Maximus supports the United States Special Operations Command Preservation of the Force and Family (USSOCOM POTFF) program. This position is instrumental in leveraging advanced analytics, research methodologies, and machine learning techniques to develop high-value solutions aimed at enhancing the well-being of Special Operations Forces (SOF) service members and their families. The successful candidate will perform complex data analysis, build predictive models, and collaborate with multidisciplinary teams to design experiments and optimize program outcomes. This role requires a deep understanding of statistical analysis, data visualization, and software development, with an emphasis on translating data insights into actionable strategies that support the mission's objectives., * Perform comprehensive data analysis, including data mining, exploratory analysis, predictive modeling, and statistical assessments.

 * Apply advanced machine learning techniques, natural language processing, and data science methodologies to enhance relevance and personalization algorithms.
 * Identify, access, clean, and prepare large, complex data sources for analysis and modeling.
 * Develop, refine, and deploy features from raw data to improve model accuracy and effectiveness.
 * Design and execute experiments, including A/B testing, to evaluate the impact of data-driven interventions.
 * Create dashboards and automated analysis tools to monitor trends and identify insights within POTFF program data.
 * Collaborate with product managers, software engineers, and designers to develop prototypes and minimum viable products.
 * Communicate findings through reports, visualizations, and presentations to both technical and non-technical stakeholders.
 * Support survey design, data collection, and analysis to inform program strategies and initiatives.
 * Work closely with POTFF staff and biostatisticians to ensure data quality and integrity.
 * Provide subject matter expertise in program evaluation, research methodologies, and data analysis best practices.
 * Stay abreast of emerging technologies and incorporate innovative solutions to enhance program outcomes.