Please send your resume in WORD format should you be interested
in the following remote Senior Data Scientist role. This role is
a long-term, 90% Remote, contract to hire and must be able to
work onsite in Arlington, VA 10% of the time. The position will
pay an hourly rate of $85/HR 1099. We also offer the option of
working on a W2 basis at an hourly rate of $75/HR or annual
salary of $150K with full benefits and PTO. The position will
convert to full time employment after 6-12 months at an annual
salary of $150K. If you are not interested in this position,
please pass onto colleagues/associates as we do offer referral
fees should they be hired.
Title: Senior Data Scientist
Locations: 90% Remote (Candidates must live within 2 hours of
Arlington, VA)
Pay Rate: $75/HR or $150K W2 or $85/HR 1099
Term: Contract (6-12months) to hire ($150K)
Conversion Salary: $150K
***Due to the required clearance with our government client, only
US Citizens, Green Card and Green Card EAD holders may be
considered. Clearance requires that the candidates have resided
in the US for the past five years. The selected candidate cannot
have left the country for longer than 90 consecutive days and no
more than 180 cumulative days***
Senior Data Scientist
* Expert proficiency in common data science tools, including
scripted languages (such as SQL, Python, R, and Java Scripts),
Integrated Development Environment and analytics platforms,
open-source solutions, commercial off-the-shelf tools and
hardware-based capabilities to support the data analytic
development process and creating models, dashboards, and reports.
* Knowledge and experience using advanced analytic techniques
such as machine learning, natural language processing, robotics
process automation, artificial intelligence, text and/or data
mining, and statistical and mathematical methods.
* Knowledge and experience using business intelligence
applications and reporting technologies/methodologies including
Data Analytics Expressions (DAX), data Mash-up(M), and Microsoft
Power Platform (e.g., Power BI, Power Apps, Power Automate,
etc.).
* Knowledge of AWS or Azure Services, including Databricks, Data
Factory, and Data Lake.
* Knowledge of SAS Visual Analytics, SAS Enterprise Guide, SAS
Studio, Office Analytics, and other SAS tools.
* Knowledge of Extraction, Transformation, and Load (ETL)
strategies, pattern recognition, and application of analytical
tools.
* Coordinate with staff and customers to identify business and
technical requirements.
* Produce written documentation and artifacts for all work
completed, including the translation of user requirements into
technical designs.
* Assist the agency in the development of programming and
visualization solutions.
* Troubleshoot and provide support on existing projects or
application efforts.
* Understand the concepts supporting relational databases, data
warehousing, data governance, data access, data quality and
related areas.
* Knowledge of ODBC connection strings, and other external data
source connection protocols.
* Engineer data analytic solutions, including prototyping, proof
of concept, and full implementation.
* Evaluate, assess, document, and test data security and
continuity of operations for systems and programs.
* Ensure compatibility between equipment and software, analyze
operational/systems requirements, support design reviews, and
present technical briefings.
Primary Requirements
* Knowledge of scripted languages such as SQL, Python, R, and
Java Scripts and the proven ability to create solutions in
complex environments, including the use of programming languages
to create datasets, visualizations, and interactive reports in
various business intelligence applications.
* Skill applying analytical techniques, methods, and processes to
business problems demonstrated through a history of accepted
modeling and analyses that resulted in meaningful business
impact. These include working with unstructured or structured
data and converting those data sets using a variety of analyses
such as optimization, simulation, classical and spatial
statistics, and/or programming languages.
* Skill using advanced analytic techniques such as machine
learning, natural language processing, robotics process
automation, artificial intelligence, text and/or data mining, and
statistical and mathematical methods.
* Work as RISC liaison to CIO for server/system issues related to
AWS and Azure.
* Strong writing and documentation skills to capture collection
of source data, methodology from business rules, and
visualization deployment from a myriad of sources and
interactions with various stakeholders.
* Perform analysis of data for Extraction, Transformation, and
Load (ETL) strategies, pattern recognition, and application of
analytical tools.
* Review, analyze, and modify existing products including coding,
debugging, testing, and documenting.
* Provide guidance to coworkers on business and technical issues
affecting projects, such as data access, data quality, storage
capacity, and analytic tools and software.
* Assist with training and conference development which may
include presentations to large audiences.
* Ability to facilitate between business owners and end-users who
need to communicate with database administrators and traditional
IT support staff.
* Ensure that quality/security guidelines are followed.
* Strong relational database and querying languages experience.
* Strong verbal and written communication skills.
* Must be able to work effectively in a team environment.
* Understand and follow a software development lifecycle
(analysis, design, development, coding, testing, debugging, and
documenting).
Desired Requirements
* Knowledge of SAS Visual Analytics, SAS Enterprise Guide, SAS
Studio, Office Analytics, and other SAS tools.
Experience
* Degree in Computer Science, Information Technology, Data
Analytics, or related field.
* Must have 10 years minimum working experience with 7+ years’
experience and skill writing coding languages (such as SQL,
Python, R, SAS, and Java Scripts).
* 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.
* 1+ year experience working with AWS or Azure services such as
Databricks, Data Factory, and Data Lake.
Desired Certifications
* Professional Certification(s) in a related field of data
science and/or data analytics disciplines preferred
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