Entry-Level Data Scientist

Project overview

Amida Technology Solutions is a DC-based technology company focused on data interoperability, integrity, governance, and security. We create solutions that collect, reconcile, transform, and standardize data for business intelligence, advanced analytics, decision support, and user transactions. We specialize in taking data from inception to impact.

Our team is composed of creative, forward-looking thinkers who are passionate about using cutting-edge technology to improve lives and generate a positive impact on our country. We offer an entrepreneurial, high-growth environment that values fresh ideas, candid conversations, and authentic teamwork.

Amida is seeking highly motivated candidates who are interested in an Entry-Level Data Scientist role where they can apply their academic training to real-world projects and grow their skills alongside experienced mentors. This is a 40-hour per week position. The initial three months will be a temporary, hourly engagement, with the possibility of conversion to a full-time position based on performance and business needs. Candidates must be able to work three days per week in our Washington, DC headquarters office.

The selected candidate will work on projects related to graph algorithms and techniques to support advanced data management designs, including dimension-rich and time-series-based decision systems. Specific assignments may include:

Required Education:

Required Skills:

AND one or more of the following skillsets:

Success at Amida

Communication is the key to success at Amida. Our people are known for their can-do attitude and their ability to work effectively with both internal and 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 great initiative, are opinionated about the best ways of doing things, and align quickly to decisions. A sense of humor is an asset at Amida.

Full-time employees are eligible for a generous 401(k) match with immediate vesting, as well as medical, dental, and vision insurance.

All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

Job Facts: Contract W2 | On-site

Skills: Business Intelligence, Advanced Analytics, Teamwork, Data Management, Time Series, Decision Support, Management, Clustering, Training, Stored Procedures, Data Loading, Migration, Database, Technical Writing, Computer Science, Mathematics, FOCUS, Graph Theory, Data Structure, Data Science, Python, Collaboration, Organizational Skills, Machine Learning (ML), PyTorch, NumPy, Pandas, matplotlib, Microsoft Azure, Databricks, Algorithms, Software Testing, Software Development, Communication, Attention To Detail, Insurance, Law

Reference: Dice Id: 91099885 | Position Id: 1886042

• Design, implement, and optimize graph algorithms and data structures for applications in decision support, classification
• Supervise, help create, and implement algorithms for encoding and embedding, clustering, outlier detection, community detection, and dimensionality reduction
• Build distributed training pipelines that can handle large graphs (100 M+ graph element)
• Design and write queries, stored procedures for data loading, migration from existing databases, and retrieval
• Contribute to white papers and technical documentation
• Bachelor's degree in computer science, mathematics or engineering, preferably with a strong focus on graph theory, algorithms, and data structures
• Demonstrated passion for data science and eagerness to learn new techniques and technologies
• Working knowledge of Python
• Enjoy collaboration
• Superior communication skills
• Excellent organizational skills
• Attention to details
• Self-motivated
• Familiarity with graph libraries and frameworks, and machine learning libraries (e.g., PyTorch Geometric, DGL, GDS)
• Libraries like NumPy, Pandas, and Matplotlib
• Azure Databricks
• Graph algorithms/techniques
• Software testing concepts/methodologies
• Software development
• Cypher or Gremlin query language

Project details

• Start: flexible
• Remote: onsite
• Location: Washington, DC, US, US