Location: Reston,VA, USA
The SOA-PAX Data Science team consists of highly skilled Data Scientists working together following an agile methodology and design thinking. We are a “start-up” department within SOA-PAX with driven and creative attitudes. We take the time to understand our internal and external client's needs and translate those into solutions that our clients can act upon. Our goal is to deliver innovative products that provide insight for Speech Analytic problems using Machine Learning, Deep Learning, and Natural Language Processing methods. 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. You'll enjoy developing just enough subject matter expertise to have an intuition about what features might make your model perform better, and then you'll lather, rinse and repeat • 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 Qualifications: • 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 • 3+ years of professional experience with applying quantitative research in optimizing human decisions using technologies like machine learning and/or deep learning • 3+ 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) • 3+ 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) • 3+ years programming skill in Python, Scala, Julia • Working knowledge with modern cloud-based data storage and compute environments • Experience deploying ML models into discovery/production environment to drive insights (e.g., CI/CD, test driven development, logging) • Experience with AWS services such as EC2 instances, Fargate, SageMaker, and Step Functions is a plus • Experience working in an agile delivery model is a plus • Demonstrated self-direction and willingness to 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
Education and Experience RequirementsEssential Duties and Responsibilities: - Apply advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners. - Serve as subject matter expert (SME) in the area of data and analytical product usage for peer analysts and operational stakeholders - particularly in the appropriate uses and limitations of statistical and analytical applications. - Attain a high degree of knowledge about MAXIMUS data infrastructure. - Design and develop data queries, cubes, etc. using data warehouse, business intelligence, and analytical products to fulfill ad-hoc data requests. - Analyze extracted data, review for accuracy and look for trends. - Provide insights and analyses around operations and project data. - Participate in the data science product development review process, in particular implementing code review, testing, and data profiling of newly developed products. - Develop and implement metrics, functions, and scripts as KPIs and in existing BI/Dashboards as needed. - Inform operational partners on product performance as well as product usage trends. - Consult with analytical leaders to understand current and future business goals and strategies, and ensure that methods and work products are aligned. - Balance accuracy of analysis with needs for rapid response. - Develop partnerships with technical peers and business partners. - Perform other duties as assigned. Minimum Requirements: - Bachelor's degree with 3+ years of experience. Preferred fields of study include quantitative field such as Statistics, Mathematics, Operations Research, Economics, Computer Science, Machine Learning (or similar - Ability to present data in a simple, clean, concise visual and written manner. - Exposure to machine learning techniques and algorithms. - Experience with common data science toolkits, such as R, Weka, Python/NumPy, MatLab, etc. - Statistical experience and understanding of distributions, statistical testing, reGEDssion, etc. - Proficiency in using query languages such as SQL and use of relational databases and SQL. - Experience quantifying and prioritizing projects that require heavy data analysis. - Experience working directly with business users and requirements documentation. - A strong passion for empirical research and for answering complex questions with data.
MAXIMUS Introduction Since 1975, Maximus has operated under its founding mission of Helping Government Serve the People, enabling citizens around the globe to successfully engage with their governments at all levels and across a variety of health and human services programs. Maximus delivers innovative business process management and technology solutions that contribute to improved outcomes for citizens and higher levels of productivity, accuracy, accountability and efficiency of government-sponsored programs. With more than 30,000 employees worldwide, Maximus is a proud partner to government agencies in the United States, Australia, Canada, Saudi Arabia, Singapore and the United Kingdom. For more information, visit As a large employer and Federal contractor, Maximus is subject to various vaccine mandates across our lines of business. Maximus is committed to complying with any applicable vaccine mandates. The specific vaccine requirements for this position will be outlined throughout the selection process. Individuals who believe they may qualify for a medical or religious accommodation will have the opportunity to apply for an accommodation following an offer of employment. EEO Statement: Active military service members, their spouses, and veteran candidates often embody the core competencies Maximus deems essential, and bring a resiliency and dependability that greatly enhances our workforce. We recognize your unique skills and experiences, and want to provide you with a career path that allows you to continue making a difference for our country. We're proud of our connections to organizations dedicated to serving veterans and their families. If you are transitioning from military to civilian life, have prior service, are a retired veteran or a member of the National Guard or Reserves, or a spouse of an active military service member, we have challenging and rewarding career opportunities available for you. A committed and diverse workforce is our most important resource. Maximus is an Affirmative Action/Equal Opportunity Employer. Maximus provides equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disabled status.