Data Scientist

Akaasa Technologies; Washington (District of Columbia); Ibrido; USD 140.000 - 180.000; Tempo pieno

Descrizione del lavoro

Akaasa Technologies in Washington, DC hybrid role seeks an experienced Data Scientist to lead AI/ML initiatives, NLP, and data-driven decision making. You will design and implement scalable data pipelines, leverage AWS or Azure services, and collaborate with cross-functional teams on complex analytics projects.

The role requires 5+ years of experience, government domain familiarity, relevant certifications, and a solid foundation in SQL, Python, R, and JavaScript.

Competenze

• Certifications in Data Science, IBM data science professional, Google data analytics professional or MS Azure data science associate.
• Public Trust Clearance or ability to obtain one.
• Government domain experience required.
• Degree in Computer Science, Information Technology, Data Analytics, or related field.
• Minimum 5+ years' experience with SQL, Python, R, JavaScript.
• Minimum 3+ years' experience in ML, NLP, robotics process automation, AI, text or data mining, and mathematical methods.
• At least 1 year experience with AWS or Azure services like Databricks, Data Factory, Data Lake.
• Experience with Azure DevOps and/or GitHub; CI/CD; Agile delivery of data products and ML models.
• Develop and optimize automated data pipelines; ensure data integrity for analytics workflows.
• Integrate diverse data sources (flat files, relational DBs, external systems) via JDBC/ODBC, REST APIs, or web scraping.
• Strong relational database and querying language experience.
• Understanding of software development lifecycle (analysis through documentation).

Conoscenze

AI/ML

NLP

SQL

Python

R

JavaScript

Mathematical Methods

Data Analytics

Formazione

Bachelor's degree in Computer Science / IT / Data Analytics

Strumenti

AWS

Azure

Databricks

Data Factory

Data Lake

ETL

JDBC/ODBC

REST API

Azure DevOps

GitHub

Descrizione del lavoro

Title: Data Scientist
Work Location: Washington, DC/Hybrid
Skills: AI/ML, (NLP) Natural Language Processing, Sql, Python, R, Javascript, 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 DevOps and/or GitHub 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.