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Remote Cfa Data Science Jobs in California (NOW HIRING)

Apogee Global RMS

Senior Data Scientist

San Jose, CA · On-site +1

Bachelor's or Master's in Data Science, Computer Science, Statistics, Mathematics, or related field ... Flexible remote work options. * Professional growth in AI/ML and advanced analytics. * Competitive ...

Apogee Global RMS

Senior Data Scientist

San Jose, CA · On-site +1

Bachelor's or Master's in Data Science, Computer Science, Statistics, Mathematics, or related field ... Flexible remote work options. * Professional growth in AI/ML and advanced analytics. * Competitive ...

Swish Analytics

Tennis Data Scientist

San Francisco, CA · On-site +1

$135K - $190K/yr

Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. This position is remote from the USA. Duties:

Waymo

Senior Data Scientist

Mountain View, CA · On-site +1

$204K - $259K/yr

Autonomous driving presents a new paradigm in data science: in addition to leveraging data ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

IDT

Data Scientist

San Jose, CA · Remote

We are looking for a highly technical Data Scientist to join our established Analytics department ... Science, Statistics, Mathematics, or related). What we offer: * Remote work opportunity! * B2B ...

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All JobsRemote Cfa Data Science JobsRemote Cfa Data Science Jobs in California

Remote Cfa Data Science information

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

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 are remote CFA Data Science jobs?

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 California? For Remote Cfa Data Science jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Cfa Data Science jobs in California look for? The top searched job categories for Remote Cfa Data Science jobs in California are:
What cities in California are hiring for Remote Cfa Data Science jobs? Cities in California with the most Remote Cfa Data Science job openings:
Remote Cfa Data Science jobs near you

Senior Data Scientist

Apogee Global RMS

San Jose, CA • On-site, Remote

Contractor

Posted 21 days ago

Job description

Apogee Global RMS is looking for a Senior Data Scientist who can turn complex data into actionable intelligence. This person will design, develop, and deploy predictive models, machine learning solutions, and analytical frameworks that support product innovation and strategic decision‑making. This role is ideal for someone who thrives in a collaborative environment and enjoys solving complex problems with data.

Key Responsibilities:

  • Build and optimize machine learning models and statistical algorithms.
  • Analyze large, structured and unstructured datasets to identify trends and insights.
  • Develop dashboards, visualizations, and automated reporting tools.
  • Partner with engineering, product, and business teams to integrate data‑driven insights into strategy.
  • Validate model performance and ensure data quality, accuracy, and reliability.
  • Communicate findings clearly to technical and non‑technical stakeholders.
  • Support ongoing AI/ML initiatives across the organization.
  • Bachelor’s or Master’s in Data Science, Computer Science, Statistics, Mathematics, or related field.
  • 3+ years of experience in data science, machine learning, or advanced analytics.
  • Strong proficiency in Python, R, SQL, and ML libraries (Scikit‑learn, TensorFlow, PyTorch).
  • Experience with data visualization tools (Tableau, Power BI, Looker, or similar).
  • Solid understanding of statistical modeling, predictive analytics, and data engineering concepts.
  • Ability to translate complex data into clear, actionable insights.
  • Strong communication and problem‑solving skills.

Preferred Experience:

  • Experience working in technology, SaaS, or data‑driven environments.
  • Familiarity with cloud platforms (AWS, Azure, GCP).
  • Exposure to NLP, LLMs, or generative AI.
  • Experience with MLOps tools and model deployment workflows.
  • Background working with sensitive or regulated data (nice to have).

Why Choose Apogee:

  • Opportunity to work on high‑impact, data‑driven projects.
  • Collaborative, innovative team environment.
  • Flexible remote work options.
  • Professional growth in AI/ML and advanced analytics.
  • Competitive compensation based on experience.

How to Apply:

For applications and inquiries, please email our Talent Team at : careers@apogeeglobalrms.com

Apply