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Remote Data Science Trading Jobs (NOW HIRING)

Premise Health

Data Science Analyst - Remote

Brentwood, TN · On-site +1

$75K - $87K/yr

This is a Full Time, remote, Data Science Analyst role. What You'll Do * Analysis, Model Development & AI Solutions: * Perform exploratory data analysis to identify patterns and opportunities in ...

PatientPoint

REMOTE - Data Scientist

$101.54K - $175.73K/yr

Cincinnati OR Remote Travel Required: 2-3 times yearly Job Summary The Data Science team at PatientPoint works on business problems across the enterprise, such as provider growth, pricing, operations ...

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Remote Data Science Trading information

What are the key skills and qualifications needed to thrive as a Remote Data Science Trading professional, and why are they important?

To thrive as a Remote Data Science Trading professional, you need a strong background in statistics, quantitative analysis, programming (typically Python or R), and a relevant degree such as mathematics, finance, or computer science. Familiarity with trading platforms, machine learning libraries, data visualization tools, and sometimes certifications like CFA or FRM are highly valued. Excellent problem-solving, communication, and self-management skills are crucial for analyzing market data and collaborating remotely. These abilities ensure effective trading strategies, accurate data-driven decisions, and seamless teamwork in a fast-paced, distributed environment.

How do remote data science trading professionals typically collaborate with trading teams and stakeholders?

Remote data science trading professionals often work closely with traders, quantitative analysts, and software engineers through virtual meetings, collaborative platforms, and shared code repositories. Daily responsibilities may include analyzing market data, developing predictive models, and communicating actionable insights to inform trading strategies. Effective communication and clear documentation are crucial to ensure alignment across the team, given the remote structure. Many organizations use project management tools and regular check-ins to maintain transparency and foster collaboration between remote data scientists and other trading stakeholders.

What is a Remote Data Science Trading job?

A Remote Data Science Trading job involves using data analysis, statistical modeling, and machine learning techniques to inform and improve trading strategies, all while working from a remote location. Professionals in this role analyze large datasets, build predictive models, and help optimize financial trades for institutions or trading firms. The remote aspect means all tasks are performed online, allowing for flexible work arrangements and collaboration with teams across the globe. This position typically requires strong programming, analytical, and financial knowledge.
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What are the most commonly searched types of Data Science Trading jobs? The most popular types of Data Science Trading jobs are:
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What job categories do people searching Remote Data Science Trading jobs look for? The top searched job categories for Remote Data Science Trading jobs are:
Remote Data Science Trading jobs near you
Infographic showing various Remote Data Science Trading job openings in the United States as of May 2026, with employment types broken down into 80% Full Time, and 20% Nights. Highlights an 64% Physical, 8% Hybrid, and 28% Remote job distribution.

Remote AI & Data Scientist for Clinical Intelligence & NLP

Alignment Healthcare

Manhattan, NY • Remote

$149.88K - $224.82K/yr

Full-time

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

Alignment Healthcare rating

7.3

Company rating: 7.3 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

207th of 259 rated insurance

Job description

Alignment Healthcare LLC is seeking a remote Data Scientist to enhance risk adjustment strategy within Medicare Advantage. The role involves building AI-powered tools for clinical documentation and working across teams to deploy impactful models. Candidates should have 2-5 years of experience in data science, a relevant Bachelor's degree, and proficiency in Python and SQL.

Competitive pay ranges from $149,882 to $224,823, based on experience and qualifications. #J-18808-Ljbffr

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