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Remote Data Scientist Machine Learning Jobs in Virginia

Data Scientist

Richmond, VA ยท On-site +1

As a Data Scientist at Key Cyber Solutions, your primary responsibility will be to analyze and ... Strong understanding of statistical analysis, data mining, and machine learning algorithms.

Senior Consultant Data Scientist Arlington, Virginia, United States, Remote Flexible Excella is a ... Apply and refine machine learning and predictive modeling techniques to solve complex business ...

... Machine Learning (AI / ML), Natural Language Processing (NLP). We also bring the best ideas, tools ... remote work) and requires a TS/SCI + Poly clearance (acceptable to this customer). What You'll be ...

Health IT Data Scientist

Alexandria, VA ยท On-site +1

$110K - $120K/yr

This is a remote position. US Citizenship is required for consideration. Ability to obtain and ... Develop predictive models and machine learning algorithms. * Perform statistical analyses on ...

Data Scientist - Cleared

Chantilly, VA ยท On-site +1

$250K/yr

... remote work) and requires a TS/SCI + Poly clearance (acceptable to this customer). What You'll be ... Support the deployment and maintenance of production-scale AI and machine learning solutions in ...

Data Scientist

Reston, VA ยท On-site +1

Experience developing, retraining, or using AI and Machine Learning packages * Experience working ... This position has an on-site requirement and is not eligible for fully remote candidates. At Level ...

Data Scientist

Reston, VA ยท On-site +1

Experience developing, retraining, or using AI and Machine Learning packages * Experience working ... This position has an on-site requirement and is not eligible for fully remote candidates. At Level ...

Overview Senior Data Scientists at Excella leverage advanced statistical, machine learning, and ... Apply and refine machine learning and predictive modeling techniques to solve complex business ...

Machine Learning Engineer - Remote

Vienna, VA ยท On-site +1

$140K - $150K/yr

... Machine Learning, Cyber Security and Cutting Edge Technology across the US Government. Be a part of ... Collaborate with data scientists and SMEs to develop ML models using curated datasets. * Conduct ...

Remote Work: Niyam understands the value of flexibility. We offer remote work. * Career Growth ... Bachelor's degree or higher in Computer Science, Engineering, Data Science, Artificial Intelligence ...

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Remote Data Scientist Machine Learning information

What does a Remote Data Scientist specializing in Machine Learning do?

A Remote Data Scientist specializing in Machine Learning uses advanced statistical techniques and programming skills to analyze large datasets and build predictive models, all while working from a remote location. They design, develop, and deploy machine learning algorithms to solve business problems, such as forecasting trends or automating processes. Their work often involves data cleaning, feature engineering, model selection, and collaborating with cross-functional teams to integrate these models into products or services. Remote data scientists typically use tools like Python, R, and cloud-based platforms to perform their tasks efficiently.

What is the difference between Remote Data Scientist Machine Learning vs Remote Data Scientist?

AspectRemote Data Scientist Machine LearningRemote Data Scientist
Required CredentialsMaster's or PhD in Data Science, Computer Science, or related field; experience with ML frameworksSimilar educational background; may focus more on statistical analysis and data visualization
Work EnvironmentPrimarily involves developing ML models, coding in Python/R, and deploying algorithmsFocuses on data analysis, reporting, and insights generation, often with less emphasis on ML deployment
Employer & Industry UsageUsed in tech, finance, healthcare for predictive modeling and automationCommon across various industries for data analysis and business intelligence

While both roles require strong analytical skills and similar educational backgrounds, Remote Data Scientist Machine Learning specializes in developing and deploying machine learning models, whereas Remote Data Scientist focuses more on data analysis and reporting. The ML role often involves coding and algorithm development, making it more technical in nature.

How do remote data scientists specializing in machine learning typically collaborate with cross-functional teams?

Remote data scientists in machine learning often work closely with product managers, engineers, and business analysts through virtual meetings, collaborative platforms, and shared documentation tools. They regularly participate in sprint planning, code reviews, and brainstorming sessions to ensure alignment with project goals. Effective communication and proactive updates are essential for overcoming the challenges of remote collaboration and maintaining project momentum. Building strong relationships with team members across different time zones helps foster innovation and ensures that machine learning solutions are well-integrated into broader business objectives.

What are the key skills and qualifications needed to thrive as a Remote Data Scientist specializing in Machine Learning, and why are they important?

To excel as a Remote Data Scientist in Machine Learning, you need a solid background in statistics, programming (typically Python or R), and a degree in computer science, mathematics, or a related field. Familiarity with tools and frameworks such as TensorFlow, scikit-learn, PyTorch, and experience with cloud platforms like AWS or Azure are often required, along with relevant certifications. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills for remote collaboration and translating insights for diverse stakeholders. These competencies ensure the development of robust models, clear communication of findings, and successful project delivery in a distributed work environment.
What are the most commonly searched types of Data Scientist Machine Learning jobs in Virginia? The most popular types of Data Scientist Machine Learning jobs in Virginia are:
What are popular job titles related to Remote Data Scientist Machine Learning jobs in Virginia? For Remote Data Scientist Machine Learning jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Data Scientist Machine Learning jobs in Virginia look for? The top searched job categories for Remote Data Scientist Machine Learning jobs in Virginia are:
What cities in Virginia are hiring for Remote Data Scientist Machine Learning jobs? Cities in Virginia with the most Remote Data Scientist Machine Learning job openings:
Data Scientist

Data Scientist

Key Cyber Solutions

Richmond, VA โ€ข On-site, Remote

Part-time

Re-posted 20 days ago


Job description

Company Description
Key Cyber Solutions (KCS) is a leading enterprise IT consulting firm that specializes in Secure Agile Software Development, Cybersecurity, Enterprise IT and Data Management services for both government and healthcare organizations. Our approach to business is both aggressive and agile. We value a strong work-ethic, good judgement, organizational skills and, most importantly, an entrepreneurial spirit. At KCS we treat our employees like family and, in turn, they pay that respect forward to every one of our clients.
Job Description
As a Data Scientist at Key Cyber Solutions, your primary responsibility will be to analyze and interpret complex data sets to uncover insights, trends, and opportunities that can guide business strategies and decisions.
Responsibilities:
  1. Data Analysis and Interpretation: Analyze large and complex data sets, identifying patterns and correlations that offer meaningful insights.
  2. Model Development: Develop predictive models and algorithms to support various business functions and initiatives.
  3. Collaboration: Collaborate with cross-functional teams, including product development, marketing, and operations, to ensure alignment of data-driven projects.
  4. Visualization: Create clear and engaging visualizations to represent data insights for technical and non-technical stakeholders.
  5. Continuous Learning: Stay abreast of the latest industry trends, technologies, and methodologies in data science.
  6. Reporting and Communication: Clearly communicate findings, insights, and recommendations to stakeholders at all levels of the organization.

Qualifications
Qualifications:
  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
  • 3+ years of experience in data analysis, machine learning, or related fields.
  • Proficiency in programming languages such as Python or R.
  • Strong understanding of statistical analysis, data mining, and machine learning algorithms.
  • Experience with data visualization tools and libraries.

Additional Information
THIS POSITION REQUIRES AN ACTIVE TS/SCI W/POLYGRAPH.
As a HUBZone certified business, we STRONGLY encourage candidates who reside in a HUBZone to apply. To confirm if your home address is within a HUBZone, please visit http://map.sba.gov/hubzone/maps/.
  • ***Please note in your cover letter if you reside within a designated HUBzone location. ****
  • All your information will be kept confidential according to EEO guidelines.