> Markdown version of [/jobs/ext/2271060-data-scientist-ii](https://www.wearedevelopers.com/jobs/ext/2271060-data-scientist-ii). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist II - **Company:** Maximus, Inc. - **Location:** Charlotte, NC, United States (Remote available) - **Experience:** Experienced - **Salary:** $115,175.0 - $159,125.0 - **Contract:** Permanent contract - **Skills:** Microsoft Access, Microsoft Word, Microsoft Excel, A/B Testing, Agile Modeling, Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Information Systems, Computer Programming, Databases, Information Engineering, Data Files, Data Mining, Data Visualization, Database Queries, Decision Support Systems, Programming Tools, R (Programming Language), Apache Hadoop, Apache Hive, SPSS (Software), Python (Programming Language), Machine Learning, Microsoft Office, Natural Language Processing, Power BI, Tensorflow, SAS (Software), Software Engineering, SQL Databases, Tableau (Software), Value Engineering, Data Processing, Scripting, Google Cloud, Data Storage Technologies, Pytorch, Snowflake, Apache Spark, Deep Learning, Julia, Keras, SC Clearance, Scikit Learn, Information Technology, Data Analytics, Xgboost, Machine Learning Operations, Recurrent Neural Networks, Databricks - **Published:** August 27, 2026 - **Apply:** https://www.careerbuilder.com/job-details/data-scientist-ii-remote-charlotte-nc--79fe1663-fdfa-4095-9fe5-0161d045b190 ## About the Role Master's degree in quantitative science, social science, or a related discipline. -Three or more years of research experience in an academic, social services, government, healthcare, or laboratory setting. -Advanced proficiency with Microsoft Office applications, including Word, Excel, and Access. -Advanced proficiency with commonly used statistical software and programming tools, such as SPSS, SAS, Python, and R Shiny. -Demonstrated advanced research proficiency through relevant employment in academia or another environment where research is routinely conducted. -Demonstrated record of scientific publications. -Ability to read, write, and speak English fluently and clearly to communicate effectively with all personnel. -Excellent verbal, written, interpersonal, and presentation skills, with strong attention to detail. -Demonstrated initiative, interpersonal effectiveness, and cultural awareness when working constructively with individuals from diverse backgrounds. Active Secret clearance and U.S. citizenship. This position is pending upon contract award. It requires active secret clearance at minimum. Minimum Requirements - B.S. or B.A. in Computer Science, Information Systems, Business Analytics, Mathematics, Statistics, Engineering, or a related technical field required - Advanced degree in Computer Science, Information Systems, Business Analytics, Mathematics, Statistics, Engineering, Business Administration or a related field preferred. - 5+ 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). - 5+ 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). - 5+ years programming skill in Python, Scala, 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. Preferred Skills: -Doctoral degree in quantitative science, social science, or a related discipline. -Certification or documented experience in human performance. -Experience supporting Special Operations, athletics or sports programs, or other military environments. -Strong technical and analytical capabilities in data visualization tools such as Power BI or Tableau; SQL querying and database management; business analytics and reporting; predictive modeling and forecasting; and dashboard development., A/B Testing, Agile Modeling, Algorithms, Amazon Web Services (AWS), Analysis Skills, Apache Hadoop, Apache Hive, Apache Spark, Artificial Intelligence (AI), Athletics, Big Data, Biostatistics, Business Administration, Business Analysis, Cloud Computing, Communication Skills, Community and Social Services, Compensation Management, Computer Programming, Computer Science, Computer Systems, Data Analysis, Data Collection, Data Mining, Data Modeling, Data Science, Data Sets, Data Storage, Data Visualization, Data Visualization Tools, Database Administration, Decision Support, Deep Learning, Detail Oriented, Diversity, Engineering, English Language, Experiment Design, Forecasting, GCP (Good Clinical Practices), Government, Healthcare, IBM SPSS Statistical Package, Information Technology & Information Systems, Interpersonal Skills, Julia Programming Language, Leadership, Machine Learning, Mathematics, Microsoft Access Database, Microsoft Excel, Microsoft Office, Microsoft Windows Azure, Microsoft Word, Military, Natural Language Processing (NLP), Operational Support, Power BI, Predictive Modeling, Presentation/Verbal Skills, Production Systems, Program Evaluation, Programming Tools, Python Programming/Scripting Language, R Programming Language, Regulations, Reporting Dashboards, Reporting Skills, SQL (Structured Query Language), SQL Databases, Scala Programming Language, Scientific Publications, Secret Clearance, Social Sciences, Social Work, Software Design, Software Engineering, Sports, Statistical Analysis System (SAS), Statistical Modeling, Statistics, Statistics Software, Survey Design, Tableau, Training/Teaching, Trend Analysis, United States Citizen, Value Analysis, Willing to Travel, Writing Skills ## Description 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. Essential Duties and Responsibilities -Conduct advanced data analytics, data manipulation, data mining, exploratory analysis, predictive analysis, and statistical analysis. -Apply scientific techniques to translate and correlate data into graphical, written, visual, and verbal narratives that support informed decision-making. -Enter, maintain, and analyze data within government systems. -Develop and maintain dashboards that automate analysis and identify, interpret, and present trends in POTFF program data. -Assist POTFF staff with survey design and create, analyze, and report survey results. -Advise supported units and POTFF staff on opportunities and methods for capturing data related to POTFF programs and initiatives. -Collaborate with POTFF program staff and the Government's POTFF biostatistician. -Provide subject matter expertise in program evaluation, research methodologies, and data analysis. -Use statistical modeling and data visualization techniques to identify trends, outliers, and patterns and produce reports and presentations that accurately communicate mission-relevant findings. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [TikTok's Privacy Innovation](https://www.wearedevelopers.com/videos/1036-tiktok-s-privacy-innovation) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Building and Modernising Apps with Agentic AI - Julia Kordick](https://www.wearedevelopers.com/videos/1832-building-and-modernising-apps-with-agentic-ai-julia-kordick) - [Overview of Machine Learning in Python](https://www.wearedevelopers.com/videos/840-overview-of-machine-learning-in-python) - [Explainable machine learning explained](https://www.wearedevelopers.com/videos/589-explainable-machine-learning-explained) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Best Coding Boot Camps in Germany](https://www.wearedevelopers.com/magazine/237-best-coding-boot-camps-in-germany) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)