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Remote Data Science Jobs in Valley Stream, NY (NOW HIRING)

Carlyle

Investment Data Scientist

New York, NY · On-site +1

$190K - $220K/yr

  • Medical

  • Life

  • Retirement

  • PTO

This unique role fuses technical data science expertise with sharp commercial insight, placing you at the crossroads of investment decision-making and value creation. Collaborate closely with our ...

Found

Senior Data Scientist, Risk

New York, NY · On-site +1

$163K - $225K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You will work closely with our Engineering, Data Science, Product, and Operations teams to build ... For team members who work outside those cities, Found also supports fully remote working.

DailyPay

Senior Data Scientist

New York, NY · Remote

$136K - $209K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

What You Bring to The Team: * 5+ years of Data Science & Machine Learning experience within fintech, payments, or a similarly regulated consumer domain. With a proven track record of shipping ...

Serotonin

Blockchain, Data Analytics (Remote)

New York, NY · On-site +1

$80K - $150K/yr

  • Medical

  • Retirement

Develop statistical models and data science solutions while also implementing the infrastructure to ... Remote Work Environment * Maternity/Paternity Leave $80,000 - $150,000 a year The salary range for ...

Serotonin

Blockchain, Data Analytics (Remote)

New York, NY · On-site +1

$80K - $150K/yr

  • Medical

  • Retirement

Develop statistical models and data science solutions while also implementing the infrastructure to ... Remote Work Environment * Maternity/Paternity Leave $80,000 - $150,000 a year The salary range for ...

Paramount

Senior Data Scientist, Causal Science

Manhattan, NY · On-site +1

$124K - $186K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Minimum: 5+ years in Data Science; expert knowledge of Causal Inference and counterfactual modeling. Proficient in Python and SQL Experience with Contextual Bandits Additional Qualifications: Off ...

City of New York

Data Scientist

Manhattan, NY · On-site +1

The position is eligible for 2 days per week remote work. About TLC: The New York City Taxi and ... environmental science or in public health. To be appointed to Assignment Level II and above ...

City of New York

Data Scientist

Manhattan, NY · On-site +1

The position is eligible for 2 days per week remote work. About TLC: The New York City Taxi and ... environmental science or in public health. To be appointed to Assignment Level II and above ...

Jackpot

Director of Data & Analytics

New York, NY · On-site +1

$170K - $200K/yr

While this is a remote position, you must be located or willing to relocate to the NYC Metro area to qualify. WHAT YOU'LL DO: * Set the vision and strategy for Data Analytics and Data Science

Arlyn AI

Principal / Senior Data Scientist

New York, NY · Remote

$175K - $255K/yr

  • PTO

Arlyn AI - AI-Powered Insights for Life Science Arlyn AI (Formerly Quantile) is a New York-based ... Principal / Senior Data Scientist We're looking for a data-driven problem solver to leverage large ...

Precision Technologies Corp

Data Scientist

New York, NY · Remote

$130K - $135K/yr

Remote, however travel might be required as per business requirements FTE Only Where you're headed You'll creatively use data to solve business challenges, often uncovering new and transformative ...

Kontakt.io

Data Scientist Lead

New York, NY · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As a Data Science Lead , you will play a pivotal role in designing, developing, and deploying machine learning models that drive AI-powered automation across healthcare operations. You will own end ...

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Showing results 41-60

All JobsData Science JobsRemote Data Science JobsRemote Data Science Jobs in Valley Stream, NY

Remote Data Science information

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 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).

Can I work remotely as a remote data scientist?

Yes, many remote data scientist positions are available, allowing professionals to work from anywhere with a reliable internet connection. These roles often require skills in programming, data analysis, and familiarity with tools like Python, R, or SQL, and may involve collaboration through online platforms. Remote work arrangements are common in the data science field, especially with the increasing adoption of cloud-based tools and flexible schedules.

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.

More about Remote Data Science jobs

What are the most commonly searched types of Data Science jobs in Valley Stream, NY?

The most popular types of Data Science jobs in Valley Stream, NY are:

What cities near Valley Stream, NY are hiring for Remote Data Science jobs?

Cities near Valley Stream, NY with the most Remote Data Science job openings:

Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Valley Stream, NY as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Investment Data Scientist

Carlyle

New York, NY • On-site, Remote

$190K - $220K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 16 days ago

Job description

Position Summary
Join our dynamic Investment Data Science Team as a Data Scientist and immerse yourself in the heart of the investment process. This unique role fuses technical data science expertise with sharp commercial insight, placing you at the crossroads of investment decision-making and value creation. Collaborate closely with our investment teams and company leaders, leveraging your skills to make a tangible impact in due diligence and growth strategies.
Responsibilities
  • Dive deep into data analytics for thorough investment due diligence, balancing swift execution with meticulous analysis to assess potential risks and opportunities.
  • Partner strategically with portfolio company executives, driving data-led initiatives for growth and efficiency from concept to completion.
  • Lead in developing and implementing data-centric strategies and tools, enhancing our investment processes and supporting our deal teams.
  • Provide critical support in live due diligence, translating complex data into comprehensive analysis under tight deadlines.
  • Develop insightful tools and data products to refine our investment process.
  • Oversee value creation projects in portfolio companies, from strategy to execution.
  • Engage in sophisticated data analysis, including feature engineering and analytics.
  • Cleanse, integrate, and interrogate diverse datasets to unearth unique insights.
  • Conduct rigorous hypothesis testing, statistical analysis, and modeling.

What you'll do:
  • Navigate and analyze complex datasets, extracting key insights to guide investment strategies.
  • Collaborate with internal teams and external executives on data-driven growth initiatives.
  • Manage third-party resources, integrating external expertise into our internal framework.
  • Spearhead the creation of innovative data tools and products to scale our deal support capabilities.

Requirements:
Education & Certificates
  • A bachelor's degree, required
  • Concentration in Computer Science, Math, Physics or other engineering/STEM related field, preferred

Professional Experience
  • At least 8 years of overall relevant technical experience in Data Science, required
  • Previous experience with hedge funds, preferred
  • Experience in the financial services or private equity industry, preferred

Competencies & Attributes
  • Exceptional problem-solving abilities.
  • Aptitude for translating data into actionable business strategies.
  • Strong verbal and written communication skills, with a flair for public presentation and storytelling.
  • Solid understanding of investment, financial valuation, and commercial growth principles.
  • Advanced Python and SQL skills for complex data analysis.
  • Proficient in machine learning techniques and handling large datasets.
  • Skilled in data visualization and statistical modeling.
  • Familiarity with AWS cloud computing and Git version control systems.

Benefits/Compensation
The compensation range for this role is specific to New York and takes into account a wide range of factors including but not limited to the skill sets required/preferred; prior experience and training; licenses and/or certifications.
The anticipated base salary range for this role is $190,000 to $220,000.
In addition to the base salary, the hired professional will enjoy a comprehensive benefits package spanning retirement benefits, health insurance, life insurance and disability, paid time off, paid holidays, family planning benefits and various wellness programs. Additionally, the hired professional may also be eligible to participate in an annual discretionary incentive program, the award of which will be dependent on various factors, including, without limitation, individual and organizational performance.
Due to the high volume of candidates, please be advised that only candidates selected to interview will be contacted by Carlyle.
About Us:
The Carlyle Group (NASDAQ: CG) is a global investment firm with $475 billion of assets under management, across 678 investment vehicles as of March 31, 2026. Founded in 1987 in Washington, DC, Carlyle has grown into one of the world's largest and most successful investment firms, with more than 2,500 professionals operating in 28 offices in North America, Europe, the Middle East, Asia and Australia.
Carlyle's purpose is to connect people, ideas, and capital to fuel growth for companies and performance for investors, which range from public and private pension funds to wealthy individuals and families to sovereign wealth funds, unions and corporations. Carlyle invests across three segments - Global Private Equity, Global Credit and Carlyle AlpInvest - and has deep expertise across industries, markets, and geographies.
At Carlyle, we believe that a wide spectrum of experiences and viewpoints drives performance and success. Our CEO, Harvey Schwartz, has stated that, "To build better businesses and create value for all of our stakeholders, we are focused on assembling leadership teams with the strongest insights from a range of perspectives." Reflecting this view, emphasis is placed on development, retention and inclusion through our internal processes and seven Employee Resource Groups (ERGs). We cultivate a culture where ideas are openly shared and challenged, connecting diverse expertise and perspectives to drive enduring value.

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