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Hybrid Sr. Data Scientist No H1B at Washington, DC, USA
Email: [email protected]
Must have work on State Client
  ]

Need State client Healthcare experience

Client: DC Gov Agency

Job Title: Sr. Data Scientist 

Job
location: Washington, DC (Hybrid 3 days onsite) must be local to DMV area

Visa: Any except OPT

MOI: Skype

Need State
client Healthcare experience

TOP 4 MUST HAVE SKILLS:

1. Work experience in Human Services agency.

2.
Experience with Quick Base platform and SQL.

3.
Strong proficiency in data science tools such as R or Python. Experience with
data visualization tools such as Tableau or Power BI

 4.
Ability to transform issuance and notices files.

Responsibilities

1. Data analysis and
modeling, including: Designing and developing machine learning and predictive
models and algorithms.

Performing exploratory data
analysis to identify patterns and trends.

Developing and maintaining
database and data systems to support business needs.

Interpreting and communicating
data analysis results to stakeholders.

Collaborating with other teams
to develop and implement data-driven solutions.

2. Data management and
governance, including: Ensuring compliance with data privacy regulations and
company data governance policies.

Developing and implementing
data access and security controls.

Identifying and resolving data
quality issues.

Managing data migration and
integration projects.

3. Provide subject
matter expertise on data-related topics, including: Providing guidance and
support to other teams on data-related issues.

Developing and delivering
training and education materials related to data analysis and modeling.

Employing data science tools to
improve data collection and accuracy.

Identifying opportunities to
utilize data science tools to streamline business processes and increase
efficiency.

Using data science tools to
improve technical reports and the effectiveness of reporting databases and
platforms.

4. Collaborate with
stakeholders to identify and prioritize data-related initiatives, including:
Partnering with business leaders to understand their data needs and goals.

Contributing to the development
of data strategies and roadmaps.

Providing recommendations for
data-related investments and initiatives.

Leading or participating in
cross-functional teams to execute data-related initiatives.

Qualifications:

Minimum of 5 years of experience
in data analysis/science and modeling, with a focus on machine learning
and/or predictive analytics.

Strong knowledge of data
science tools, including data quality, governance, and security.

Strong
proficiency in data science tools such as R or Python. Experience with
data visualization tools such as Tableau or Power BI. Experience with SQL
and other database technologies.

Ability to work independently
and manage multiple projects simultaneously.

--

Keywords: business intelligence rlang information technology
Hybrid Sr. Data Scientist No H1B
[email protected]
[email protected]
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Wed Jun 05 21:54:00 UTC 2024

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