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Remote Data Science R Jobs in New York (NOW HIRING)

Hang

Data Scientist

New York, NY · On-site +1

Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field ... Proficiency in programming languages such as Python or R. * Experience with data visualization ...

PortPro

Data Scientist

New York, NY · Remote

Proficiency in programming languages such as Python, R, SQL, and Node.js. * Experience working with Amazon AWS technology stack. * Experience with data science toolkits, such as NumPy, Pandas ...

PortPro

Data Scientist

New York, NY · On-site +1

Proficiency in programming languages such as Python, R, SQL, and Node.js. * Experience working with Amazon AWS technology stack. * Experience with data science toolkits, such as NumPy, Pandas ...

Precision Technologies Corp

Data Scientist

New York, NY · Remote

$130K - $135K/yr

Role: Data Scientist Location: Remote, however travel might be required as per business ... Python, R, Scala) * Experience working with large datasets, data pipelines, and relational ...

Mercor

Senior Data Scientist | Upto $100/hr

New York, NY · Remote

$100/hr

Data Science Experts Type: Contract Compensation: $70-$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams on data science methodology ...

Junction

Data Scientist

New York, NY · On-site +1

$180K - $220K/yr

Fully remote (EST timezone only) Why we need you Junction sits in the flow of high-value ... Own the research and modeling work underlying Junction's highest-priority data science ...

Tempus

Data Scientist II, Outcomes Research

New York, NY · On-site +1

$100K - $150K/yr

Demonstrated computational skills using R and SQL, specifically applied to large-scale healthcare ... Experience supporting data science teams in model building and validation, including feature ...

LexisNexis

Director, Data Sciences

New York, NY · On-site +1

... remote locations. ** About our Team : LexisNexis Legal & Professional, serving customers in over ... Proficiency in multiple programming languages relevant to data science (Python, R, etc.) and big ...

Shaped

Senior Data Scientist

Brooklyn, NY · On-site +1

$100K - $150K/yr

We're remote but have an office in Brooklyn, New York. We're looking for a Senior Data Scientist to help customers integrate and develop recommendation models using the Shaped Platform.

Headspace

Principal Data Scientist

New York, NY · On-site +1

You will be designing analytical frameworks, developing data science products, and uncovering ... City, NY (remote), and Seattle, WA (remote). Candidates must permanently reside in the US ...

Fusemachines

Lead Data Scientist

New York, NY · On-site +1

$110K - $140K/yr

Stay up-to-date with the latest developments in data science, machine learning, and artificial ... Nice to have: - R, C++, and SQL, Gen AI Fusemachines is an Equal Opportunities Employer, committed ...

Fusemachines

Lead Data Scientist

New York, NY · Remote

$110K - $140K/yr

Stay up-to-date with the latest developments in data science, machine learning, and artificial ... Nice to have: - R, C++, and SQL, Gen AI Fusemachines is an Equal Opportunities Employer, committed ...

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All JobsRemote Data Science R JobsRemote Data Science R Jobs in New York

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 the most commonly searched types of Data Science R jobs in New York? The most popular types of Data Science R jobs in New York are:
What are popular job titles related to Remote Data Science R jobs in New York? For Remote Data Science R jobs in New York, the most frequently searched job titles are:
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What cities in New York are hiring for Remote Data Science R jobs? Cities in New York with the most Remote Data Science R job openings:
Remote Data Science R jobs near you
Data Scientist

Data Scientist

Hang

New York, NY • On-site, Remote

Full-time

Medical, Dental, Vision, PTO

Posted 14 days ago

Job description

Hang is building the future of loyalty for brands.
Hang is the next generation brand loyalty & membership platform. By harnessing the power of personalization, gamification, and its integrations ecosystem, Hang provides brands with a radically new type of loyalty experience for their customers.
Today, they work with a variety of major brands (such as Ulta Beauty, Budweiser, Flipkart, and more), as well as multiple well-known, up-and-coming restaurant chains (Boba Guys, Roam Artisan Burger, and Williamsburg Pizza, among several others).
Hang draws from years of deep expertise in loyalty, game design, and finance with employees from leading companies like Google, Amazon, Apple, Meta, LinkedIn, Coinbase, Square, and Goldman Sachs.
Hang raised a $16 million Series A led by Paradigm last summer, with participation from Tiger Global, Howard Schultz, Kevin Durant, Mr. Beast, and the founders of Warby Parker, Allbirds, and Bombas, among others.
About the Role
As our first Data Scientist, you will leverage data to drive insights and strategies that will propel Hang's platform to new heights. We're looking for someone who is deeply passionate about data, analytics, and the power of information to transform brand loyalty programs.
What You'll Do
  • Data Analysis & Insights: Analyze complex data sets to uncover trends, patterns, and insights that inform business decisions.
  • Model Development: Develop and implement statistical models and machine learning algorithms to predict customer behaviors and enhance platform capabilities.
  • Data-Driven Decision Making: Collaborate with cross-functional teams to support data-driven decisions and strategy development.
  • Data Visualization: Create clear and compelling visualizations to communicate findings to stakeholders.
  • Data Strategy: Contribute to the development of data collection strategies to optimize statistical efficiency and data quality.

Who You Are
  • Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field.
  • 5-10+ years of proven experience as a Data Scientist or in a similar role.
  • Strong knowledge of statistical techniques and machine learning algorithms.
  • Proficiency in programming languages such as Python or R.
  • Experience with data visualization tools and databases.
  • Excellent analytical and problem-solving abilities.
  • Strong communication skills, with the ability to translate complex data into actionable insights.

What Would Set You Apart
  • You have a passion for consumer brands.
  • You have a strong interest in loyalty programs.

Benefits
  • Top-tier health, vision, and dental insurance, including plans with $0 employee cost.
  • Unlimited PTO / sick leave
  • Competitive salary & equity compensation.
  • Quarterly company offsites
Hang logo

About Hang

Sourced by ZipRecruiter

Industry

Software development

Company size

1 - 10 Employees

Headquarters location

Santa Monica, CA, US

Year founded

2021

Social media

Twitter

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