[Remote] AI Data Analyst

🌍 Remote, USA 🎯 Full-time 🕐 Posted Recently

Job Description

Note: The job is a remote job and is open to candidates in USA. Maximus is a company focused on supporting programs through advanced analytics and AI. The AI Data Analyst will apply machine learning and business intelligence to transform operational data into meaningful insights, collaborating with various teams to enhance decision-making and performance outcomes.

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
Develop, deploy, and operationalize advanced analytical and AI/ML models to uncover trends, identify anomalies, and produce predictive and prescriptive insights
Apply machine learning techniques (regression, classification, clustering, NLP, time-series forecasting) to support strategic decision-making and operational efficiency
Serve as a subject matter expert on AI-supported analytics, guiding internal stakeholders on appropriate methodology, data quality considerations, model limitations, and responsible AI use
Analyze large volumes of structured and unstructured data and translate findings into clear, actionable insights for leaders, program teams, and business development partners
Design, implement, and maintain new KPIs, intelligent metrics, and automated analytical scripts used across dashboards and operational reporting frameworks
Perform feature engineering, statistical testing, and exploratory analysis to support model development and performance measurement
Design, build, and maintain interactive dashboards in Power BI, leveraging AI-assisted capabilities such as automated insights, anomaly detection, and forecast visualizations
Enhance reporting workflows through semantic modeling, DAX optimization, and integration with Microsoft Fabric or other enterprise analytics platforms
Use Power Automate, Power Apps, and AI Builder to automate workflows, streamline data processes, and develop intelligent low-code applications
Build AI-enabled tools such as semantic search features, automated classification engines, natural-language query interfaces, or document-processing models
Stay current with emerging technologies, including Microsoft Fabric, Azure AI/Cognitive Services, Azure Machine Learning, and other platforms used across Maximus
Promote responsible AI principles, documenting processes and advocating best practices across teams
Support team communication and strategy through documentation, presentations, training materials, and collaborative planning activities
Participate in project management tasks including planning, execution, retrospectives, and performance tracking

Bachelor's degree in relevant field of study and 3+ years of relevant professional experience required, or equivalent combination of education and experience
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
Advanced degree in Computer Science, Information Systems, Business Analytics, Mathematics, Statistics, Engineering, Business Administration or a related field preferred
PowerBI experience a plus
Experience developing analytics or ML solution
Proficiency in Power BI, SQL, DAX, data modeling, and visualization best practice
Experience analyzing large datasets and presenting insights to technical and non‑technical audiences
Understanding of Responsible AI governance, model evaluation, and MLOps practices
Experience with Azure Machine Learning, Cognitive Services, Databricks, Microsoft - Fabric, or similar cloud‑based AI/analytics tools
Experience deploying machine learning models in production environments
Familiarity with Power Platform AI Builder, Copilot capabilities, or generative AI tooling
Experience working with governance on new tools

Competitive Compensation - Bonus opportunities based on performance.
Comprehensive Insurance Coverage - Choose from various plans, including Medical, Dental, Vision, Prescription, and partially funded HSA. Additionally, enjoy Life insurance benefits and discounts on Auto, Home, Renter's, and Pet insurance.
Future Planning - Prepare for retirement with our 401K Retirement Savings plan and Company Matching.
Unlimited Time Off Package - Enjoy UTO, Holidays, and sick leave,
Holistic Wellness Support - Access resources for physical, emotional, and financial wellness through our Employee Assistance Program (EAP).
Recognition Platform - Acknowledge and appreciate outstanding employee contributions.
Tuition Reimbursement - Invest in your ongoing education and development.
Employee Perks and Discounts - Additional benefits and discounts exclusively for employees.
Maximus Wellness Program and Resources - Access a range of wellness programs and resources tailored to your needs.
Professional Development Opportunities- Participate in training programs, workshops, and conferences.

Providing government technology services, digitally enabled customer experiences, and clinical health services that change lives. It was founded in 1975, and is headquartered in Mclean, Virginia, USA, with a workforce of 10001+ employees. Its website is http://www.maximus.com/.

Maximus has a track record of offering H1B sponsorships, with 39 in 2025, 39 in 2024, 50 in 2023, 42 in 2022, 36 in 2021, 42 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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