Data Scientist

Details of the offer

Amida Technology Solutions is a DC-based software services company focused on the most difficult problems in data interoperability, exchange, governance, and security. We design, develop, and deploy software solutions that collect, reconcile, and transform data for business intelligence, predictive analytics, and decision support. We specialize in taking data from inception to impact.
Our team is comprised of creative, forward thinkers who are passionate about using cutting-edge technology to make a difference in people's lives and have a positive impact on our country. We offer an entrepreneurial, high-growth environment that values fresh ideas, candid conversations, and authentic teamwork.
Amida is currently looking for a Data Scientist to join our team in Washington, DC, hybrid, or remote. In this role you will work across our client engagements, providing expertise in data collection, data analysis, data mapping, data profiling, data mining, and data modeling. You will be responsible for inspecting, cleansing, transforming, and modeling data and will address issues related to data completeness and quality, as well as contribute to and produce technical and data process documentation.
What you will do: Use expertise in data science and statistical methods and tools to extract insights from a diverse range of Veterans Administration data as part of a larger project teamCollaborate with data engineers, data quality analysts, and visualization specialists to build data pipelinesReview and synthesize research reports, technical documentation, and other sources to help frame analysis plans and aid in the interpretation of resultsPrepare and present the results of analyses in the form of visualizations and PowerPoint slidesLeverage big data tools and frameworks (e.g., PySpark; SparkSQL) to access, process, and analyze large-scale datasetsInteract with VA program staff to gather requirements and develop analysis plansRequired Education: Bachelors (Master preferred) in a quantitative field such as Computer Science, Statistics, or Mathematics (or related)Required Experience: 4+ years of recent professional experience in data science, data mining, data analysis, business process analysis, and/or healthcare analytics4+ years working with Machine Learning methodologies4+ years of programming experience in a subset of Python3+ years of programming experience in SQLRequired Skills: Ability to conduct data profiling and predictive analysis using a variety of standard toolsExcellent ability to communicate concisely and effectively with software engineers and clientsAbility to obtain a Public Trust security clearance: Green Card or citizenship requiredPreferred Skills: Prior experience working with healthcare data, or in the healthcare fieldExperience with data visualization tools and methodologiesExperience with a cloud platform, such as Azure and Azure Machine LearningPrior experience with SQL stored procedures, preferably with Oracle DBCommunication is the key to success at Amida. Our people are known for their can-do attitude and their ability to work effectively with client teams. We pride ourselves on having a collegial, multidisciplinary team with diverse backgrounds and experience. Our best team members pay intense attention to detail in all aspects of their work, have a strong sense of initiative, and are willing to be opinionated about the best ways of doing things. A sense of humor is an asset at Amida.
We help solve the biggest challenges in data management. If you're looking for an opportunity to help important organizations get their data right, we hope you'll forward your resume and let us know why this role appeals to you. We look forward to hearing from you.
Amida Technology Solutions is an equal opportunity employer, and all qualified applicants will receive consideration without regard to race, color, religion, gender, national origin, disability status, protected Veteran status, or any other characteristic protected by law. We value diversity of ideas and people.

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Nominal Salary: To be agreed

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