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Remote Data Science R Jobs in Vermont (NOW HIRING)

Green Mountain Power

Data Engineer

Colchester, VT · On-site +1

$150K/yr

Data Engineer (Remote) Green Mountain Power Corporation seeks a Data Engineer to collect, clean ... Requires a Bachelor\'s degree (or foreign equivalent) in Computer Science, Information Technology ...

Revvity

Sr. Tax Manager (REMOTE)

Montpelier, VT · On-site +1

$134K - $167K/yr

... designed to help scientists, researchers, and clinicians solve the worlds greatest health ... Experience using Excel macros, Power BI, Alteryx and/or similar data analysis/visualization tools ...

Danaher

Filtration Sales Specialist

Burlington, VT · Remote

$100K - $130K/yr

Are you ready to accelerate your potential and make a real difference within life sciences ... The position is remote and is responsible for covering the Northeast US (New England), Quebec and ...

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

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 is a remote data science R?

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 science R, 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 job categories do people searching Remote Data Science R jobs in Vermont look for?

The top searched job categories for Remote Data Science R jobs in Vermont are:

What cities in Vermont are hiring for Remote Data Science R jobs?

Cities in Vermont with the most Remote Data Science R job openings:

Remote Data Science R jobs near you

Data Engineer

Green Mountain Power

Colchester, VT • On-site, Remote

$150K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Data Engineer (Remote)

Green Mountain Power Corporation seeks a Data Engineer to collect, clean, and analyze large, complex datasets from multiple sources, including APIs, data streams, and databases, to generate actionable insights. Build, validate, and deploy machine learning models and algorithms using best practices in data science and reproducible research. Apply statistical modeling, machine learning, and predictive analytics to solve business problems and improve decision-making. Analyze source systems, define data transformation requirements, and design suitable data models. Collaborate with the Data & analytics team to ensure data quality, resolve data-related challenges, and identify opportunities for new data-driven solutions. Implement data privacy, security, and compliance best practices when handling sensitive or regulated data. Continuously evaluate and adopt new methods, tools, and techniques to improve the accuracy, efficiency, and scalability of analytics solutions. Support both Agile and Waterfall project methodologies while delivering models, insights, and recommendations on time. Telecommuting permitted. 5% domestic travel required.  Salary Range: $145,683 – 150,000 per year

JOB REQUIREMENTS:

Requires a Bachelor\'s degree (or foreign equivalent) in Computer Science, Information Technology, Biotechnology, or a related field and 7 years of experience in data or software engineering. Experience must include: Programming Languages: PL/SQL, Java, Python, HTML, Salesforce SOQL, Unix Shell Scripting; ETL & BI Tools: Talend (Cloud & ESB), Oracle Data Integrator, Informatica, Apache Airflow, Azure Data Factory, OBIEE, Tableau, and Power BI; Database Technologies: Snowflake, Oracle, SQL Server, PostgreSQL, MongoDB, Hadoop, Spark, Hive, Impala, and HDFS; Cloud Platforms: AWS S3, Microsoft Azure, and Google Cloud Platform (GCP); Data Modeling & Design: Star Schema, Snowflake Schema, and Dimensional Modeling Version Control: Git, GitHub, and GitLab; Data Integration & APIs: RESTful APIs, WSDL, JSON, XML, Postman, and SoapUI; API Development & Management: Snowflake Streamlit, microservices architecture, and cursor-based operations; Security & Compliance: Active Directory, SSL/TLS, encryption, and data governance standards; Operating Systems: Windows, Linux, UNIX, and Mainframes; Project Management Tools: JIRA, Monday.com; and Development Methodologies: Agile and Waterfall. Telecommuting permitted. 5% domestic travel required.

THIS POSITION IS ELIGIBLE FOR THE EMPLOYEE REFERRAL PROGRAM

Apply online at https://greenmountainpower.com/careers/ (Job ID: 4042189).

Apply