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Remote Meta Data Science Jobs in Maryland (NOW HIRING)

Remote/Hybrid (subject to contract requirements) Clearance: Must be eligible to obtain and maintain ... Key Qualifications: * 5+ years of experience in AI/ML, Data Science, or Data Engineering * 3+ years ...

Current undergraduate or graduate student studying public health, data science, social sciences, or ... Ability to work independently in a remote environment and stay on top of assigned tasks. Preferred ...

DevSecOps Engineer - REMOTE

MD · Remote

$65K - $136K/yr

Req ID: 376276 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... a concentration in computer science or equivalent * Minimum 3 years of experience with ...

Showing results 41-60

Remote Meta Data Science information

What is the difference between Remote Meta Data Science vs Remote Data Analyst?

AspectRemote Meta Data ScienceRemote Data Analyst
Required CredentialsBachelor's or higher in Data Science, Computer Science, or related fields; knowledge of programming languages like Python or RBachelor's degree in Statistics, Mathematics, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative remote teams, often with data science and engineering departmentsRemote work with focus on data reporting, visualization, and business insights
Employer & Industry UsageTech companies, e-commerce, finance, and healthcareMarketing agencies, retail, finance, and consulting firms

Remote Meta Data Science involves advanced data modeling, machine learning, and statistical analysis, often requiring programming skills and a strong technical background. Remote Data Analysts focus on interpreting data, creating reports, and visualizations to support business decisions. While both roles work remotely and require data handling skills, Meta Data Scientists typically engage in more complex modeling, whereas Data Analysts concentrate on data interpretation and presentation.

How does a remote meta data science role typically collaborate with cross-functional teams despite being off-site?

In a remote Meta Data Science position, collaboration with cross-functional teams—such as product managers, engineers, and designers—is primarily facilitated through virtual communication tools like video conferencing, chat platforms, and collaborative project management software. Regular stand-ups, sprint meetings, and asynchronous updates help ensure alignment on project goals and timelines. While remote work offers flexibility, it also requires proactive communication and documentation to maintain transparency and foster effective teamwork. Building relationships remotely may take extra effort, but companies like Meta provide structured onboarding and virtual community events to support team cohesion.

What is a remote meta data scientist?

A Remote Meta Data Scientist is a professional who works for Meta (formerly Facebook) in the field of data science, but does so from a remote location instead of a traditional office. They analyze large datasets, build predictive models, and provide insights to help Meta improve its products and user experience. Their work may involve machine learning, statistical analysis, and collaborating virtually with cross-functional teams. Remote Meta Data Scientists use tools such as Python, SQL, and data visualization software to solve complex business problems.

What are the key skills and qualifications needed to thrive as a remote meta data scientist, and why are they important?

To thrive as a Remote Meta Data Scientist, you need strong analytical skills, expertise in statistics and machine learning, and a degree in a quantitative field such as computer science or mathematics. Proficiency with data science tools like Python, R, SQL, and platforms such as TensorFlow or PyTorch is typically required, along with experience using collaboration tools for remote work. Excellent communication, self-motivation, and problem-solving abilities are essential soft skills for remote collaboration and translating insights to stakeholders. These skills ensure you can independently deliver impactful data-driven solutions while effectively collaborating across distributed teams.
What are the most commonly searched types of Meta Data Science jobs in Maryland? The most popular types of Meta Data Science jobs in Maryland are:
What are popular job titles related to Remote Meta Data Science jobs in Maryland? For Remote Meta Data Science jobs in Maryland, the most frequently searched job titles are:
What cities in Maryland are hiring for Remote Meta Data Science jobs? Cities in Maryland with the most Remote Meta Data Science job openings:

Program Planning and Development Manager

BCC - LH

Bethesda, MD • On-site, Remote

Part-time

Re-posted 4 hours ago


Job description

Black Canyon Consulting (BCC) is currently searching for a Program Planning and Development Manager to support our work at the Lister Hill National Center for Biomedical Communications at the National Library of Medicine (NLM), an institute of the National Institutes of Health. This opportunity is part-time with BCC and it is on-site in Bethesda, MD and/or remote.

We are seeking a highly skilled and experienced Program Planning and Development Manager to join our team. In this role, you will be responsible for leading and coordinating program planning and development activities to ensure the achievement of integrated and responsive efforts in the assigned area. Your expertise in informatics, data science, and clinical research will be crucial in providing leadership and technical guidance, identifying program needs, and recommending new research initiatives. You will collaborate with internal and external stakeholders, evaluate trends and emerging fields, and assess research competency to ensure the quality and quantity of research aligns with our organization's mission and objectives. This is an exciting opportunity to make a significant impact by driving the success of our research programs.

Requirements:

  • Masters, Ph.D., or equivalent degree(s) in informatics, data science, or clinical research.
  • Documented research experience demonstrating familiarity with artificial intelligence and machine learning approaches in biomedical informatics research.
  • Experience in setting scientific agendas, planning, and executing scientific meetings, workshops, and conferences for diverse stakeholders.
  • Proven ability to develop partnerships and collaborations with internal and external stakeholders.
  • Strong critical thinking and problem-solving skills.
  • Excellent written and oral communication skills, with the ability to convey complex information to a variety of audiences.
  • Ability to manage multiple time-sensitive projects simultaneously.

Job Responsibilities:

Program Planning and Development

  • Identify program needs and formulate strategies to achieve integrated and responsive efforts in the assigned area.
  • Provide leadership and technical expertise based on specialized training, experience, and knowledge of current advances and developments in informatics, data science, and clinical research.
  • Identify opportunities, research gaps, and relevant program needs, and make recommendations for new research efforts, clinical studies, or other initiatives.
  • Evaluate the significance of trends and emerging fields, assessing research competency within the field, and ensuring alignment with the agency's mission and objectives.
  • Coordinate the use of support mechanisms to achieve a balanced program within approved resources and established objectives of the Unit and Division.

Program Management

  • Conduct scientific and administrative reviews and analyses of applications/proposals from a programmatic viewpoint.
  • Provide expert advice and recommendations regarding research proposals in the assigned program area.
  • Prepare information for and attend advisory/review committee/panel meetings, addressing specific applications/proposals in the assigned program area.
  • Coordinate program efforts with other Branch and Division staff, NIH staff offices, and IC Divisions to ensure effective collaboration.
  • Coordinate the scientific and technical management of grants/contracts within the assigned program area, fostering effective liaison with grantees/contractors, IC staff, and NIH peer review groups.

Information Dissemination

  • Assist in organizing workshops, conferences, symposia, or similar activities to foster communication and collaboration among investigators.
  • Stay abreast of relevant science, current research, developments, and advances in the scientific field, representing the Institute at professional society meetings and conferences.
  • Respond to requests for information related to assigned responsibilities.
  • Act as a liaison between the Program and Communications, developing content for the Division's website and ensuring accurate representation of the Unit's activities.
  • Facilitate communication and collaborative efforts with other Institute components, other ICs, DHHS agencies, and external research institutions and organizations.
  • Serve as a scientific liaison with other ICs, NIH scientists, and representatives from other government agencies and non-government organizations.

Join our dynamic team and contribute to advancing research efforts in the field of Bio-informatics and clinical research. Apply today and take the lead in program planning and development to make a lasting impact on our organization's success.