Data Scientist
Job in
Washington, District of Columbia, 20022, USA
Listed on 2026-10-12
Listing for:
Akaasa Technologies
Full Time
position Listed on 2026-10-12
Job specializations:
-
IT/Tech
Data Analyst, Data Engineering, Data Scientist, Data Science Manager
Job Description & How to Apply Below
Title:
Data Scientist
Work Location:
Washington, DC/Hybrid
Skills
: AI/ML, (NLP) Natural Language Processing, Sql, Python, R, Java script, Tobotics, Mathematical Methods, (Dax) Data Analytics Expressions, Data Mash-Up(M), Ms Power Platform;
Power Bi, Power Apps, Power Automate, Aws Or Azure, Data Bricks, Data Factory, Data Lakehouse, Data Lake, ETL, ODBC Connection Strings, Azure Devops Or Github, Automate Data Pipelines, Flat Files; JDBC/ODBC, Rest Api, Company Functions;
Contracts, Procurement, Accounts Payable, Pyspark/Pyspark Sql,
Required Experience
- Must have Certifications
:
Data Science Certs; IBM data science professional, google data analytics professional or MS azure data science associate - Clearance
: candidates should have or had at least a Public Trust Clearance - Must have government domain exp.
- Must have a Degree in Computer Science, Information Technology, Data Analytics, or related field.
- Minimum of 5+ years' experience and skill writing coding languages (such as SQL, Python, R, and Java Scripts).
- Minimum of 3+ years' experience working with projects involving machine learning, natural language processing, robotics process automation, artificial intelligence, text and/or data mining, as well as statistical and mathematical methods.
- At least 1 year experience working with AWS or Azure services such as Databricks, Data Factory, and Data Lake.
- Experience with Azure Dev Ops and/or Git Hub to support continuous integration and delivery pipelines, and operate within Agile frameworks to iteratively deliver high quality data products, machine learning models, and artificial intelligence solutions.
- Develop, manage, and optimize automated data pipelines to ensure data integrity, support reliable analytics workflows, and enable effective collaboration across teams.
- Integrate disparate and diverse data sources-including flat files, relational databases, and external systems-using techniques such as JDBC/ODBC connections, REST APIs, and web scraping methods to support robust analytics and data driven decision making.
- Strong relational database and querying languages experience.
- Understand and follow a software development lifecycle (analysis, design, development, coding, testing, debugging, and documenting).
Desired exp:
- Experience working with contract, procurement, and accounts payable (AP) data to identify trends, anomalies, and potential risks in support of contract oversight activities.
- Experience using PySpark/PySpark SQL to process, transform, and analyze large-scale datasets.
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