Amida Technology Solutions is a DC-based technology company focused on solutions for data interoperability, data utility, and data security. We create open-source solutions that collect, reconcile, transform, and standardize data for business intelligence, predictive analytics, decision support, and user transactions. 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. In this role you will work across our client engagements, providing expertise in machine learning algorithms, natural language processing (NLP), data collection, data analysis, data mapping, data profiling, data mining, data modeling, and data visualization. You will architect data science solutions on the cloud using AWS or Azure data science services and participate in the implementation of the solutions. You will help with the business development activities and will be responsible to describe data science solutions in our proposals.
What you will do:
- Perform data analyses in the Azure Cloud
- Lend your expertise in the development of solutions using machine learning, NLP, data profiling, and/or data mining to projects and proposals across the company
- Use expertise in machine learning to design and implement predictive models for diverse fields such as health claim processing and electronic design automation
- Use expertise in NLP methods and healthcare data to identify relevant open-source NLP models and adapt them to free text data
- Leverage modern ML/NLP methodologies (e.g., deep learning), computing hardware (e.g., GPUs), cloud infrastructure (AWS/Azure), open-source modeling frameworks (e.g., TensorFlow, Keras, PyTorch, XGBoost)
- Develop standardized evaluation and validation frameworks for current and future work
- Create training materials for colleagues at different levels of experience
- Identify, create, and curate training datasets
Required Skills and Experience:
- Bachelor's Degree in a quantitative field such as Computer Science, Statistics, or Mathematics (or related)
- 4+ years of recent professional experience in data science, data mining, data analysis, business process analysis, and/or healthcare analytics
- 3+ years working with Machine Learning and/or Natural Language Processing (in particular, Named Entity Recognition) methodologies
- 3+ years of programming experience in Python
- 2+ years of experience using Machine Learning tools, deploying models, and deploying software in Azure or Amazon Web Services (AWS) preferably holding certifications
- Experience to model data in Graphs
- Experience using Graph databases
- Experience contributing to proposals preferably in federal government contracting
- Ability to conduct data profiling and predictive analysis using a variety of standard tools
- Experience with data visualization tools and methodologies
- Excellent ability to communicate concisely and effectively with software engineers and clients
- Ability to obtain a Public Trust security clearance
- Software Skills: ADF, Azure ML, Azure SQL, Databricks/Data Lake, Python (for data wrangling, joins, cleansing, visualization, and statistical learning), Git, Apache Spark (cluster computing/management), Deep Learning, Neural Networks
Preferred Skills:
- Master's Degree in a quantitative field such as Computer Science, Statistics, or Mathematics (or related)
- Previous experience in Knowledge Graphs and Graph Neural Networks
- Previous experience working with Databricks
- Prior experience working with healthcare data, or in the Healthcare field
- Previous experience working with government clients such as Dept. of Defense (DoD), Dept. of Veterans Affairs (VA), or The Centers for Medicare & Medicaid Services (CMS)
- Prior experience with metadata management to include meta-tagging
- Previous experience working in an Agile Team setting and using Agile management tools such as Jira
- Experience conducting business process analysis to identify gaps and inefficiencies
- Ability to uncover data-driven insights using statistical analysis or predictive analytics
Communication 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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