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Velvet

Research Scientist

San Francisco, CA · On-site

Velvet is a data research company focused on building datasets for multimodal AI. They are seeking a Research Scientist to develop and fine-tune models for video and audio data processing and ...

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What is a data research?

A Data Research job involves collecting, analyzing, and interpreting data to support decision-making and business strategies. Professionals in this role gather information from various sources, clean and organize datasets, and identify trends or patterns. They often use statistical tools and software to extract meaningful insights. Data researchers work in industries like finance, marketing, healthcare, and technology, helping organizations make data-driven decisions. Strong analytical skills, attention to detail, and proficiency in data tools are essential for success in this role.

What are the typical daily responsibilities of someone working in data research?

A Data Research professional typically spends their day gathering large datasets from various sources, cleaning and organizing data, and conducting in-depth analyses to identify trends and meaningful insights. They often collaborate closely with other data professionals, business analysts, and cross-functional teams to understand project goals and deliver relevant findings. In addition, they prepare reports or visualizations to communicate their results and may present these to stakeholders. The role often requires adaptability, as project priorities and data sources can evolve frequently, making each day varied and engaging.

What are the key skills and qualifications needed to thrive in data research, and why are they important?

To thrive as a Data Research professional, you need strong analytical skills, attention to detail, familiarity with data collection methods, and typically a degree in a relevant field like statistics, mathematics, or information science. Proficiency with data analysis tools such as Excel, SQL, Python, R, and experience with data visualization platforms like Tableau or Power BI are commonly required, and specialized certifications in data analytics can be advantageous. Key soft skills include curiosity, critical thinking, collaboration, and effective communication to present findings clearly. These abilities are crucial for ensuring accurate data collection, insightful analysis, and actionable recommendations to support organizational decision-making.

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Data Research jobs near you
Infographic showing various Data Research job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Support Specialist

Qube Research & Technologies

New York, NY • On-site

$150K - $180K/yr

Full-time

Re-posted 28 days ago

Job description

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT's collaborative mindset which enables us to solve the most complex challenges. QRT's culture of innovation continuously drives our ambition to deliver high quality returns for our investors.
Your future role within QRT
This team is integral to the firm's success. We are seeking a technically skilled Data Support Engineer to support quantitative researchers and traders in navigating and using extensive datasets. You will support all data users, contribute to documentation, and ensure data quality.
  • Provide first-line support to researchers and traders for data access ad usage.
  • Collaborate with data engineers to resolve data issues.
  • Onboard new hires and train them on using data tools and processes efficiently.
  • Manage JIRA workflows, track support requests, and ensure timely resolution of data issues.
  • Contribute to data documentation.
  • Contribute to extending data coverage (live collection and backfills)

Your present skillset
  • A bachelor's degree in Data Science, Computer Science, Finance, or a related field.
  • Experience in data support, IT helpdesk, or technical support, ideally within finance.
  • Strong command of Python and data libraries.
  • Proficiency with data systems, pipelines, and APIs.
  • Experience with JIRA or similar project management tools.
  • Strong problem-solving skills, communication abilities, and attention to detail.

Base salary range for this position is $150,000 to $180,000 per year.
QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.

Apply