Data Scientist (Remote)

MAXIMUS; Oklahoma City (OK); Remote; USD 90,000 - 129,000; Full time

Job summary

Maximus is seeking a data science professional to perform hands-on analysis and modeling on large data sets, applying ML methods to improve decision making and personalization. You will work with product managers, engineers, and designers to design experiments and MVPs, access diverse data sources, and develop robust features and dashboards.

The role requires 3+ years of relevant experience, a data science or related degree, and strong communication skills to present findings to both technical

Qualifications

• Bachelor's degree in relevant field and 3+ years of professional experience required, or equivalent combination of education and experience.
• Advanced degree in Computer Science, Information Systems, Mathematics, Statistics, Engineering, or related field preferred.
• 1-3+ years applying quantitative research to optimize human decisions using ML/deep learning technologies.
• 1+ years with ML/DL frameworks (e.g., Scikit-learn, PyTorch, TensorFlow, Keras) and algorithms (e.g., CNN, GAN, LSTM, RNN, XGBoost).
• 1+ years data engineering with big data architectures (Hadoop, SQL, HIVE, Spark, Snowflake) on major clouds (AWS, Azure, GCP).
• 1+ years programming in Python, Scala, or Julia.
• Experience deploying ML models to discovery/production environments (MLOps a plus).
• Experience working in agile delivery model a plus.
• Strong communication and presentation skills; ability to translate findings for non-technical audiences.
• PowerBI experience a plus.

Responsibilities

• Perform hands-on data analysis and modeling with huge data sets.
• Apply data mining, NLP, and ML to improve relevance and personalization algorithms.
• Collaborate with product managers, engineers, and designers in experiments and MVPs.
• Discover, access, import, clean and model-ready data from multiple sources including HPDMS.
• Create and refine features from underlying data.
• Run regular A/B tests, analyze results, and communicate insights to stakeholders.
• Develop and maintain databases, spreadsheets, reports, and automated dashboards.
• Support survey design, administration, analysis, and interpretation to inform improvements.
• Translate findings into actionable recommendations with cross-functional partners.
• Develop, document, and refine analytical methods, models, and tools.
• Present analytical findings clearly to technical and non-technical audiences.

Skills

Python

Scikit-learn

PyTorch

TensorFlow

Keras

ML/DL concepts

Data engineering

SQL

PowerBI

Education

Bachelor's degree in data science/CS/related

Advanced degree preferred

Tools

Hadoop

SQL

HIVE

Spark

Snowflake

Job description

Essential Duties and Responsibilities

• Perform hands-on data analysis and modeling with huge data sets.
• Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
• Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.
• Discover data sources, get access to them, import them, clean them up, and make them "model-ready.".
• Create and refine features from the underlying data.
• Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders.
• Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
• Collect, validate, clean, integrate, and analyze data from multiple sources, including the Human Performance Data Management System (HPDMS).
• Conduct exploratory, statistical, and predictive analyses to identify trends, correlations, risks, and opportunities related to human performance and mission readiness.
• Develop and maintain databases, spreadsheets, reports, and automated dashboards that communicate program performance and outcomes.
• Support survey design, administration, analysis, and interpretation to inform program improvements.
• Collaborate with program staff, biostatisticians, clinicians, and other cross-functional partners to translate findings into actionable recommendations.
• Develop, document, and refine analytical methods, models, and tools that address complex operational and health-related challenges.
• Present analytical findings clearly to technical and nontechnical stakeholders while protecting sensitive information.
• Perform other duties as assigned.

Minimum Requirements

• Bachelor's degree in relevant field of study and 3+ years of relevant professional experience required, or equivalent combination of education and experience.
• Advanced degree in Computer Science, Information Systems, Business Analytics, Mathematics, Statistics, Engineering, Business Administration or a related field preferred.
• 1-3+ years of professional experience with applying quantitative research in optimizing human decisions using technologies like machine learning and/or deep learning.
• 1+ years using major machine learning/deep learning frameworks (e.g., Scikit-learn, PyTorch, TensorFlow and Keras) and algorithms (e.g., CNN, GAN, LSTM, RNN, XGBOOST).
• 1+ years of data engineering experience with modern big data analytics architectures (Hadoop, SQL, HIVE, Spark, Snowflake, etc.) on major cloud platforms (e.g., AWS, Azure, Google Cloud).
• 1+ years programming skill in Python, Scala, or Julia.
• Working knowledge with modern cloud-based data storage and compute environments (e.g., AWS Sagemaker, Databricks in Azure, AI-platform in GCP, etc.).
• Experience deploying ML models into discovery/production environment to drive insights using MLOps a plus.
• Experience working in an agile delivery model a plus.
• Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques.
• Ability to communicate complex ideas in a clear, precise, and actionable manner.
• Excellent communication and presentation skills, with the ability to articulate new ideas and concepts to technical and non-technical partners.
• PowerBI experience a plus.

Job Specific Requirements

• Bachelor's degree in data science, statistics, mathematics, computer science, or a related field.
• Demonstrated experience using statistical analysis tools, database systems, and data visualization platforms.
• Experience preparing, analyzing, and interpreting complex datasets.
• Ability to communicate technical findings to diverse audiences.
• Security: Requires anactive Secret security clearanceand U.S. citizenship.
• Survey Design & Analysis: Assist in designing surveys, collecting, and analyzing survey data to inform program improvements Collaboration: Work with cross-functional teams, including biostatisticians, to develop data-driven recommendations for SOF and family support initiatives.
• Technical Solutions: Develop and refine analytical methods and tools to address complex operational and health-related challenges.
• Experience supporting government, defense, military health, or human performance programs.
• Experience developing automated dashboards, predictive models, or decision-support tools.
• Knowledge of data governance, privacy, security, and quality-control practices.
• Familiarity with multidisciplinary health, performance, or readiness data.
• Skills: Proficiency in data analysis tools, statistical software, database systems, and visualization platforms.
• Experience: Experience with government or defense-related data projects is preferred.

EEO Statement

Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.

Pay Transparency

Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.

Accommodations

Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at

[e-mail]

Minimum Salary

$ 90,400.00

Maximum Salary

$ 129,400.00