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Remote Data Science Trading Jobs in California (NOW HIRING)

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

$70K/yr

... Remote Duties: * Manage client risk, ensuring the highest margins on Swish products through +EV ... Independently analyze betting trends in a scientific process, turning data into quantifiable ...

Corvel

Data Science Manager

Irvine, CA · On-site +1

This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Design, build ... CorVel was founded in 1987 and has been publicly traded on the NASDAQ stock exchange since 1991.

StubHub

Data Science Manager

Los Angeles, CA · On-site +1

$300K - $400K/yr

The Data Science team, a part of the broader StubHub Data organization, is looking for an ... Hybrid (3 days in office/2 days remote) - New York, NY or Century City, CA What You'll Do

Jj

Manager, Data Science - Oncology

San Diego, CA · On-site +1

Data Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts ... Proven record leading improvement initiatives with multi-disciplinary and remote partners.

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$70K/yr

... Remote Duties: * Manage client risk, ensuring the highest margins on Swish products through +EV ... Independently analyze betting trends in a scientific process, turning data into quantifiable ...

Fullpower Technologies

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

Fullpower-AI delivers a complete B2B IoT platform for AI-powered algorithms, remote contactless ... The ideal candidate will have a strong background in machine learning and data science and a proven ...

Mercor

Chief Data Scientist

San Francisco, CA · Remote

$70 - $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 ...

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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.
What are the most commonly searched types of Data Science Trading jobs in California? The most popular types of Data Science Trading jobs in California are:
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What job categories do people searching Remote Data Science Trading jobs in California look for? The top searched job categories for Remote Data Science Trading jobs in California are:
What cities in California are hiring for Remote Data Science Trading jobs? Cities in California with the most Remote Data Science Trading job openings:
Remote Data Science Trading jobs near you
Senior Data Scientist *** Direct End Client ***

Senior Data Scientist *** Direct End Client ***

Projas Technologies, LLC

San Diego, CA • On-site, Remote

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Posted just now

Job description

Job Title: Senior Data Scientist Product & Marketing Analytics

Job Description:
Do you thrive on turning complex data into actionable insights? Are you passionate about influencing product, marketing, and business strategy through data? We re looking for a Senior Data Scientist to join a high-impact team focused on driving top-of-funnel growth for a suite of digital service offerings.

This role sits at the intersection of data science, product strategy, marketing analytics, and customer insights. You will work cross-functionally with Product, Marketing, Sales, Customer Success, Engineering, and Finance teams to uncover new opportunities and implement scalable data-driven solutions that accelerate business growth.

Key Responsibilities:

  • Collaborative Problem Solving: Work closely with stakeholders to identify business problems, formulate hypotheses, and scope data science projects with measurable ROI.

  • Analytics & Business Insights: Analyze large-scale datasets to extract insights that influence product development, marketing campaigns, customer segmentation, and strategic planning.

  • Experimentation & Testing: Design and evaluate A/B tests and multivariate experiments to measure the impact of new features and marketing initiatives.

  • Predictive Modeling: Develop and deploy machine learning models and statistical algorithms to support personalization, targeting, and optimization strategies.

  • Data Visualization & Storytelling: Create intuitive dashboards and reports to track performance metrics and effectively communicate findings to technical and non-technical stakeholders.

  • Data Infrastructure & Quality: Partner with data engineering teams to improve data pipelines, define tracking requirements, and ensure high data integrity.

  • Best Practices & Standards: Promote reproducibility, rigorous testing, and high code quality across the data science organization.

Qualifications:

  • 5 7 years of experience in data science, analytics, or quantitative roles within tech, fintech, SaaS, or digital marketing domains.

  • Proficient in SQL and Python with experience using libraries such as pandas, scikit-learn, statsmodels.

  • Strong statistical background, including A/B testing, causal inference, regression, and uplift modeling.

  • Experience with marketing analytics, funnel optimization, or growth experimentation is a plus.

  • Skilled in data visualization using Tableau, Looker, or similar tools.

  • Proven ability to communicate technical results to executive and non-technical audiences.

  • Bachelor's degree in a quantitative field required; Master's or Ph.D. in Data Science, Statistics, Computer Science, Economics, or related discipline preferred.

  • Comfortable working in cross-functional, matrixed environments.


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