Data Scientist II (Remote)

Summary

Maximus is a company focused on providing government services, and they are seeking a Data Scientist II to perform hands-on data analysis and modeling with large datasets. The role involves applying machine learning techniques, collaborating with various teams, and conducting advanced data analytics to support informed decision-making.

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
• 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

Skills

• 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
• B.S. or B.A. in Computer Science, Information Systems, Business Analytics, Mathematics, Statistics, Engineering, or a related technical field required
• 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
• 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

Qualifications

Must Haves

• 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
• B.S. or B.A. in Computer Science, Information Systems, Business Analytics, Mathematics, Statistics, Engineering, or a related technical field required
• 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

Nice to Haves

• 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

Benefits

• Health insurance coverage
• Life and disability insurance
• A retirement savings plan
• Paid holidays
• Paid time off