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Remote Data Science R Jobs in Maryland (NOW HIRING)

CSS, Inc

Coral Data Manager

Silver Spring, MD · On-site +1

... requirements for scientific data stewardship and user engagement and customer services ... Hybrid or Remote. Responsibilities 1. Ingest and Archiving * Manage the end-to-end intake of raw ...

CareFirst

Lead Data Analyst (Remote)

Columbia, MD · Remote

Master's/Bachelor's Degree in Data Science, Mathematics, Computer Science, Statistics, Business or related field OR in lieu of a Masters/bachelor's degree, an additional 4 years of relevant work ...

CareFirst

Senior Data Analyst (Remote)

Baltimore, MD · Remote

$85K - $107K/yr

Bachelor's Degree in Data Science, Mathematics, Computer Science, Statistics, Business or related field OR in lieu of a Bachelor's degree, an additional 4 years of relevant work experience is ...

NinjaOne

Senior Data Software Engineer

Baltimore, MD · On-site +1

$121K - $160K/yr

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Work closely with data scientists, analysts, and other teams to gather requirements, understand ...

NinjaOne

Senior Data Software Engineer

Baltimore, MD · On-site +1

$121K - $160K/yr

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Work closely with data scientists, analysts, and other teams to gather requirements, understand ...

Apply Early

NFP

Senior Actuarial Analyst - P&C Insurance

Bethesda, MD · On-site +1

$85K - $115K/yr

We are open to hiring remote in the US. Essential Duties and Responsibilities: * Manage multiple ... Bachelors degree in a quantitative field such as Actuarial Science, Mathematics, Data Science or ...

Sparibis

Solution Architect

Camp Springs, MD · On-site +1

$66 - $87/hr

Location: 100% Remote Travel: Ability to be onsite in Camp Springs, MD for project support as ... Collaborate with data scientists, machine learning engineers, and development teams to architect ...

Global Alliant Inc

AI Engineer

Columbia, MD · On-site +1

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

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All JobsData Science R JobsRemote Data Science R JobsRemote Data Science R Jobs in Maryland

Remote Data Science R information

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

AspectRemote Data Science RRemote Data Analyst
Required SkillsStatistical analysis, R programming, data modeling, machine learningData visualization, basic statistical analysis, Excel, SQL
CertificationsR certifications, data science certificates, possibly advanced degreesData analysis certifications, Excel, SQL courses
Work EnvironmentCollaborative teams, research projects, data science platformsReporting, dashboards, business insights
Industry UsageTech, finance, healthcare, research institutionsMarketing, retail, finance, operations

Remote Data Science R roles focus on advanced statistical modeling and machine learning using R, often requiring specialized certifications and working on complex data projects. Remote Data Analysts typically handle data reporting, visualization, and basic analysis to support business decisions. While both roles involve data handling, Data Science R positions demand deeper technical expertise and programming skills.

What are Remote Data Science R jobs?

Remote Data Science R jobs are positions that involve using the R programming language to analyze and interpret data, build statistical models, and generate insights, all while working from a remote location. These roles typically require strong skills in data manipulation, visualization, and statistical analysis using R. Professionals in these positions may work for companies in various industries, collaborating with teams online and leveraging cloud-based tools. Remote Data Science R jobs offer flexibility, allowing individuals to work from home or anywhere with a reliable internet connection.

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, expertise in statistics, programming (Python or R), and typically a degree in data science, computer science, or a related field. Familiarity with data analysis tools, machine learning frameworks (like TensorFlow or scikit-learn), and cloud platforms (such as AWS or Google Cloud) is commonly required. Outstanding problem-solving, self-motivation, and effective virtual communication skills help you excel in remote environments. These abilities are essential for deriving actionable insights from data and collaborating efficiently across distributed teams.

How do remote Data Science R professionals typically collaborate with cross-functional teams while working from different locations?

Remote Data Science R professionals often use a combination of communication platforms (like Slack, Microsoft Teams, or Zoom) and project management tools (such as Jira or Trello) to stay connected with colleagues in engineering, product management, and business analysis. Sharing code and models through version control systems (like Git) and documenting workflows in shared repositories helps maintain transparency and collaboration. Regular virtual meetings and presentations are crucial for aligning goals, discussing progress, and receiving feedback. This collaborative approach ensures that data-driven insights effectively support organizational objectives, even in a distributed work environment.
What are popular job titles related to Remote Data Science R jobs in Maryland? For Remote Data Science R jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Remote Data Science R jobs in Maryland look for? The top searched job categories for Remote Data Science R jobs in Maryland are:
What cities in Maryland are hiring for Remote Data Science R jobs? Cities in Maryland with the most Remote Data Science R job openings:
Remote Data Science R jobs near you

AI Machine Learning Skill 2-FFPP-8841

Onyx Point, Inc.

Hanover, MD • On-site, Remote

$78K - $250K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

REQUIRED:TO BE CONSIDERED FOR THIS POSITION YOU MUST HAVE AN ACTIVE TS/SCI W/ FULL SCOPE POLYGRAPH SECURITY CLEARANCE (U.S. CITIZENSHIP REQUIRED)
The Artificial Intelligence/Machine Learning (AI/ML) Engineer designs, creates, tests, and productizes AI/ML algorithms to solve business challenges. The AI/ML models they create should be capable of learning and making predictions as defined by the business logic developed to meet customer requirements. The AI/ML Engineer should be proficient in all aspects of model architecture, data pipeline interaction, and metrics application, interpretation, and presentation. The AI/ML Engineer needs familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance. Through an understanding of training, retraining, deploying, scheduling, monitoring, and improving models through iterative user and system feedback, the AI/ML Engineer designs and creates scalable solutions for optimal performance. The AI/ML Engineer may be responsible for leading geographically diverse teams and will often serve as a primary POC for AI-related matters, so must have exceptional analytical, problem-solving and communication skills. Expert knowledge of multiple programming languages, e.g. Python, Java, C, R, a plus.
Required Skills:Five (5) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required. A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university. 5 additional years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree. Experience with standard machine language frameworks, e.g. Pytorch, TensorFlow.
Select appropriate data sets
Perform statistical analysis
Run machine learning algorithms
Use results to improve models
Train and retrain systems when needed
Experience in working with various ML libraries and packages
Run standard test and evaluation protocols
Provide system integration oversight
Oversee Test and evaluation of AI and ML algorithms through an iterative design process to meet verification and validation requirements
Research and implement a broad range of AI and ML algorithms and tools
Design or Select appropriate data and knowledge representation methods
Recognize software architecture, data modelling, and data structures
Transform and convert data science prototypes into scalable solutions
Verify data and model output quality
Identify differences in data distribution that affect model performanceCompensation: We are committed to providing fair and competitive compensation. The salary range for this position is $78,000 to $250,000 per year. This range reflects the compensation offered across the locations where we hire. The exact salary will be determined based on the candidate's work location, specific role, skill set, and level of expertise.Benefits: We offer a comprehensive benefits package, including:
  • Health Coverage: Medical, dental, and vision insurance
  • Additional Insurance: Basic Life/AD&D, Voluntary Life/AD&D, Short and Long-Term Disability, Accident, Critical Illness, Hospitalization Indemnity, and Pet Insurance
  • Retirement Plan: 401(k) plan with company match
  • Paid Time Off: Generous PTO, paid holidays, parental leave, and more
  • Wellness: Access to wellness programs and mental health support
  • Professional Development: Opportunities for growth, including tuition reimbursement
Additional Perks:
  • Flexible work arrangements, including remote work options
  • Flexible Spending Accounts (FSAs)
  • Employee referral programs
  • Bonus opportunities
  • Technology allowance
  • A diverse, inclusive, and supportive workplace culture

Apply