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Remote Data Science Jobs in Fort George G Meade, MD

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Data Scientist

Windsor Mill, MD · On-site +1

$102K - $144K/yr

Master's degree in Computer Science, Data Science, or a related field required; PhD preferred. * Three (3) or more years of experience as a Data Scientist or in a similar role. * Strong experience in ...

NinjaOne

Senior Data Engineer

Baltimore, MD · On-site +1

$105K - $143K/yr

... science across NinjaOne's expanding product offering. You'll build the pipelines and data ... Location -- We are flexible on remote working from home, if you are located in the USA and reside ...

1872 Consulting

Data Scientist

Washington, DC · On-site +1

Data ScientistWashington DC or Remote Full TimeResponsibilities:Modeling complex problems ... Computer Science or Mathematics or Physics degreeExcellent communication and analytical ...

1872 Consulting

Data Scientist

Washington, DC · On-site +1

Data ScientistWashington DC or Remote Full TimeResponsibilities:Modeling complex problems ... Computer Science or Mathematics or Physics degreeExcellent communication and analytical ...

Gritter Francona

Lead Data Scientist

Washington, DC · On-site +1

Master's degree in Data Science, Computer Science, Health Informatics, or Statistics * 10+ years in data science or advanced analytics roles * 5+ years applying machine learning and predictive ...

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All JobsData Science JobsRemote Data Science JobsRemote Data Science Jobs in Fort George G Meade, MD

Remote Data Science information

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

What are the qualifications to get a remote data science job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

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

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

Can I work remotely as a data scientist?

Yes, many data scientist roles are available as remote positions, especially in companies that prioritize flexible work arrangements. Remote data scientists typically need strong skills in programming, data analysis, and tools like Python or R, and may require familiarity with cloud platforms and collaboration tools. Availability depends on the employer's policies and the specific job requirements.
More about Remote Data Science jobs

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The most popular types of Data Science jobs in Fort George G Meade, MD are:

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For Remote Data Science jobs in Fort George G Meade, MD, the most frequently searched job titles are:

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Cities near Fort George G Meade, MD with the most Remote Data Science job openings:

Remote Data Science jobs near you

Lead Data Scientist (Healthcare / ML)

System One

Columbia, MD • Remote

$81/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Re-posted 5 hours ago

Job description

Job Title: Lead Data Scientist (Healthcare / ML) Location: Columbia, Maryland Type: Contract To Hire Compensation: $81 per hour Contractor Work Model: Hybrid – onsite and remote

Responsibilities

  • Lead proliferation of machine learning and artificial intelligence solutions throughout the enterprise to improve business outcomes.
  • Identify and solve complex business problems using advanced numerical techniques, algorithms, and models in statistical modeling, machine learning, operations research, and data mining.
  • Communicate analytical findings effectively to product teams, leadership, and customers, while educating about artificial intelligence, machine learning, and statistical models.
  • Support data science initiatives by applying advanced analytical capabilities and leading data mining and extraction activities.
  • Synthesize analytical insights for consumption by senior management and various teams.
  • Mentor and develop junior data scientists to enhance their analytical skills and knowledge.
  • Translate business priorities into data science deliverables, ensuring alignment with organizational goals.
  • Implement best practices for ML/AI/DS, and develop scalable and robust data products and software solutions.
  • Lead interactions between analytics teams, business units, and other departments to facilitate collaboration and project success.
Requirements
  • Bachelor's Degree in Statistics, Mathematics, Computer Science, or a related field; 8 years of relevant work experience. In lieu of a degree, an additional 4 years of relevant experience is required.
  • Minimum of 8 years of experience working with provider data, including working with leadership on data issues, accuracy, and interactions with claims and claims platforms.
  • Experience with Salesforce and FACETS is required.
  • Healthcare industry experience for 2-4 years at an intermediate level.
  • Expertise in operating systems and APIs embedded in applications, with 4-6 years of experience.
  • Ability to communicate effectively, document objectives and procedures, and support data exploration and analysis tasks.
  • Proficiency in model evaluation, tuning, performance, operationalization, and scalability of scientific techniques.
  • Proficiency in statistical modeling applications and advanced SQL in multiple syntaxes.

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

#M-PJ1 #LI-PJ1 Ref: #851-Rockville-S1

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About System One

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System One helps employers get work done more efficiently and economically without compromising quality. Over our 35+ year history, we've helped connect thousands of talented people with innovative companies. The excitement of a perfect fit motivates us every single day.

Industry

Business consulting services and recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Pittsburgh, PA, US

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