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Remote Cfa Data Science Jobs in Austin, TX (NOW HIRING)

Data Engineer

Austin, TX · Remote

$113K - $136K/yr

Why You'll Love It Here Flexibility Work that fits your life - with a remote work schedule ... Exposure to data science workflows, machine learning, or AI deployments is a plus * Strong ...

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ...

Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

Partner with data science, engineering, Revenue Operations, and executive stakeholders to define ... Remote worker reimbursement of $300/year * Professional development reimbursement Not sure if you ...

Clinical Data Manager

Austin, TX · Remote

$125K - $175K/yr

With a strong scientific foundation and a founding team that includes the discoverer of our target ... Remote (U.S.) Responsibilities: * Lead day-to-day data management activities for assigned clinical ...

Clinical Data Manager

Austin, TX · Remote

$125K - $175K/yr

With a strong scientific foundation and a founding team that includes the discoverer of our target ... Remote (U.S.) Responsibilities: * Lead day-to-day data management activities for assigned clinical ...

Senior Data Scientist, Applied ML

Austin, TX · On-site +1

$154K - $200K/yr

We\'re looking for a Senior Data Scientist, Applied ML to design, build, and deploy models for ... In addition to our engaging workspace in South Austin, flexible and remote-friendly work options ...

Senior Data Scientist, Applied ML

Austin, TX · On-site +1

$154K - $200K/yr

... for a Senior Data Scientist, Applied ML to design, build, and deploy models for critical ... In addition to our engaging workspace in South Austin, flexible and remote-friendly work options ...

Senior Technical Product Manager

Austin, TX · Remote

$129K - $170K/yr

Whether you prefer the structure of an office, the convenience of remote work, or a mix of both, we ... Partner closely with data scientists, data engineers, and ML engineers to deliver models and data ...

Bachelor's degree in Information Systems, Computer Science, Statistics, or related field * 2+ years of experience in data analysis, preferably in an IVR or contact center environment * Experience ...

Data Processing Engineer

Austin, TX · On-site +1

$111K - $144K/yr

We are also open to candidates who are remote in the United States, but can travel to our ... Strong understanding of computer science fundamentals (data structures, algorithms, data processing)

Civitech is a remote-first company hiring within our current footprint of 27 states (AL, AK, CA, CO ... Our rigorous approach to product design, testing, and data science leads to accurate assessments of ...

Civitech is a remote-first company hiring within our current footprint of 27 states (AL, AK, CA, CO ... Our rigorous approach to product design, testing, and data science leads to accurate assessments of ...

Showing results 21-40

Remote Cfa Data Science information

See Austin, TX salary details

$41.1K

$141.2K

$199.2K

How much do remote cfa data science jobs pay per year?

As of Aug 12, 2026, the average yearly pay for remote cfa data science in Austin, TX is $141,208.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,500.00 and $165,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote CFA Data Science professional?

To excel as a Remote CFA Data Science professional, you typically need a solid background in quantitative analysis, financial modeling, and data science, with a CFA designation and a degree in finance, statistics, or a related field. Familiarity with tools such as Python, R, SQL, and financial analytics platforms, along with proficiency in data visualization software, is essential. Strong problem-solving abilities, communication skills, and self-motivation are vital soft skills for effective collaboration and independent remote work. These competencies ensure accurate financial insights, efficient data-driven decision-making, and effective teamwork across distributed environments.

How do remote CFA Data Science professionals typically collaborate with cross-functional teams despite working remotely?

Remote CFA Data Science professionals often collaborate with investment analysts, portfolio managers, and IT teams through digital communication tools like Slack, Zoom, and project management platforms. Regular virtual meetings, shared dashboards, and collaborative coding environments help streamline workflow and ensure everyone stays aligned on project goals. While time zone differences or limited face-to-face interaction can be challenging, clear documentation and proactive communication are key strategies to maintain effective teamwork.

What is a remote CFA Data Science?

Remote CFA Data Science jobs are positions that combine expertise in data science with knowledge of finance, specifically leveraging the Chartered Financial Analyst (CFA) credential. Professionals in these roles analyze financial data, build predictive models, and provide insights to guide investment decisions—all while working remotely. These jobs typically require strong quantitative skills, proficiency in programming languages like Python or R, and a deep understanding of financial markets. The remote aspect allows for flexible work arrangements, enabling professionals to contribute from anywhere in the world.

What is the difference between Remote Cfa Data Science vs Remote Cfa Investment Analyst?

AspectRemote Cfa Data ScienceRemote Cfa Investment Analyst
CredentialsCFA Charter, Data Science skillsCFA Charter, Investment analysis skills
Work EnvironmentData analysis, modeling, programmingFinancial research, portfolio management
Industry UsageFinance, tech, data-driven firmsAsset management, investment firms

Remote Cfa Data Science focuses on applying data analysis and modeling techniques within finance, often requiring programming skills alongside CFA credentials. In contrast, Remote Cfa Investment Analysts primarily conduct financial research and portfolio analysis. Both roles are CFA-certified and operate in finance but differ in daily tasks and skill sets.

What are popular job titles related to Remote Cfa Data Science jobs in Austin, TX? For Remote Cfa Data Science jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Remote Cfa Data Science jobs in Austin, TX look for? The top searched job categories for Remote Cfa Data Science jobs in Austin, TX are:
What cities near Austin, TX are hiring for Remote Cfa Data Science jobs? Cities near Austin, TX with the most Remote Cfa Data Science job openings:
Infographic showing various Remote Cfa Data Science job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $141,208 per year, or $67.9 per hour.

AI Training Specialist - Life Sciences

micro1 AI

Round Rock, TX • Remote

$90 - $120/hr

Part-time

Posted 15 days ago


Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.