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From Home Data Science Jobs in Washington (NOW HIRING)

You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications:

You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications:

You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications:

You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications:

You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications:

You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications:

Data Science Analyst

Springfield, VA · On-site

$138K - $167K/yr

Overview Data Science Analyst Springfield, VA or St. Louis, MO Active TS (SCI eligibility ... from how we deliver impact to the mission. Whether it's architecting critical IT solutions, ...

Data Science Analyst

Springfield, VA · On-site

$132K - $159K/yr

Data Science Analyst Springfield, VA or St. Louis, MO Active TS (SCI eligibility) clearance and ... from how we deliver impact to the mission. Whether it's architecting critical IT solutions, ...

Data Science Analyst

Springfield, VA · On-site

$133K - $180K/yr

Data Science and Data Engineering Job Qualifications: Skills: Data Management, Metadata Standards ... from various Data Stores into a Search & Retrieval System, enabling discovery of imagery and data ...

Build machine learning models through all phases of development, from design through training ... McLean, VA * $170,872.00 - $267,900.00 for Manager, Data Science Candidates hired to work in other ...

Data Science SME Mid

Springfield, VA · On-site

$115 - $157.94/hr

Data Science SME Mid Full Time Client Site - Springfield, VA, Springfield, VA, US 8 days ago ... A bachelor's degree from an accredited (i.e., regional, national, or institutional) academic ...

Build machine learning models through all phases of development, from design through training ... McLean, VA * $170,872.00 - $267,900.00 for Manager, Data Science Candidates hired to work in other ...

Showing results 21-40

From Home Data Science information

Can data science be done remotely?

Data science is a field that can often be performed remotely, especially for roles involving analysis, programming, and model development using tools like Python, R, and cloud platforms. Many companies offer remote data science positions, requiring strong communication skills and proficiency with collaboration tools. However, some roles may require on-site presence for meetings or data collection.

Is it possible to work from home as a data scientist?

Yes, data scientists can often work from home, especially with the increasing use of remote collaboration tools, cloud computing, and data analysis software. Many companies offer remote or hybrid positions that require strong skills in programming, statistics, and data visualization. However, some roles may require on-site presence for team collaboration or access to specific hardware.

What are the most commonly searched types of Data Science jobs in Washington?

The most popular types of Data Science jobs in Washington are:

Data Science - Advisor / SME

Technology Ventures

Reston, VA • On-site

Other

Posted 4 days ago


Job description

Job Title : Data Science - Advisor / SME
Location : 3 days onsite / week 1100 15th Street Northwest VA USA 20190 Duration : 6 Months Contract to start
Description:
  • The Finance - Data Science - Advisor role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:
  • Use advanced mathematical, analytical, or econometric tools to create algorithms and analyses that will be used to support the Multifamily CECL and DFAST/forecasting processes within the Finance organization.
  • Research and evaluate model results and perform credit-related analyses for both expected and stress scenarios including CECL/DFAST.
  • Coordinate team activities with product and/or business owners, data engineers, and platform teams to understand business needs and current capabilities, data availability, and alternative uses to drive success of parts of projects, programs, or products.
  • Ensure application of statistical modeling capabilities from disciplines, such as computer science, computational science and methods, statistics, econometrics, data optimization, and data visualization.
  • Build predictive analytic capabilities within the team to enhance the delivery of business applications, and support the integration of data and statistical models or algorithms.
  • Apply innovative industry practices in research and testing to product development, deployment, and maintenance.
  • Oversee the design and build of new modeling applications to support risk measurement, financial valuation, decision making, and business performance for parts of products or initiatives.
  • Ensure the team communicates complex ideas and solutions effectively to business partners through data visualizations, technical documentation, and non-technical presentation materials.
Minimum Required Experiences
Total 10 years and 6 years in Data Science
Desired Experiences
Bachelor degree or equivalent
A Master's degree or equivalent in Data Science, Applied Economics, Statistics, or other similar graduate studies
  • Familiarity with advanced techniques including machine learning and natural language processing (NLP)
  • Prior quantitative and finance training, including forecasting/stress testing (DFAST) knowledge.
  • Ability to direct and evaluate the more technical aspects of data analysis and research, while also managing team in a timely manner to focus on the broader context and key impacts of the analysis
  • Ability to build and maintain strong business relationships with partners
  • Strong written and verbal communication skills
  • Relationship management including managing and engaging stakeholders, partners, customers, and building relationship networks
  • Strong analytical and problem-solving skills to conduct and manage analysis to address complex business problems
  • Programming including coding, debugging, and using relevant languages such as Python, R, SQL, or similar
  • Experience in the process of analyzing data to identify trends or relationships to generate business insights and inform conclusions about the data
  • Expertise in visualizing data to identify, summarize and explain observed data patterns