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Remote Data Science Trading Jobs in Spring, TX (NOW HIRING)

Support existing data science and modeling teams by aligning platform capabilities to business and ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Data Engineer

Houston, TX · Remote

$58K - $83K/yr

Master's degree in Computer Science, Information Systems, or related field (or equivalent ... United States remote opportunity * Video cameras must be used during all interviews, as well as ...

New

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Self-motivated and able to work independently in a remote setting. * Technical Setup: Desktop ...

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Self-motivated and able to work independently in a remote setting. * Technical Setup: Desktop ...

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Self-motivated and able to work independently in a remote setting. * Technical Setup: Desktop ...

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Self-motivated and able to work independently in a remote setting. * Technical Setup: Desktop ...

... quality data, advanced training pipelines, plus top AI researchers who specialize in coding ... Self-motivated and able to work independently in a remote setting. * Technical Setup: Desktop ...

Cloud Data Engineer

Houston, TX · Remote

$109K - $131K/yr

In lieu of a degree, equivalent experience in data engineering, computer science, or related field ... RZ1 #LI-Remote Empyrean is an Equal Opportunity Employer: including disability and protected ...

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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 popular job titles related to Remote Data Science Trading jobs in Spring, TX? For Remote Data Science Trading jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Remote Data Science Trading jobs in Spring, TX look for? The top searched job categories for Remote Data Science Trading jobs in Spring, TX are:
What cities near Spring, TX are hiring for Remote Data Science Trading jobs? Cities near Spring, TX with the most Remote Data Science Trading job openings:
Snowflake Data Architect

Snowflake Data Architect

Tiger Analytics Inc.

Houston, TX • Remote

Full-time

Posted 8 days ago


Job description

Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.

We are looking for an experienced Snowflake Data Architect to design and implement scalable data models, optimize performance, and enable seamless data access for analytics and reporting. The ideal candidate will have a strong background in data modeling, data warehousing, and Snowflake platform architecture, with hands-on experience integrating with Power BI or other BI tools.

Key Responsibilities

  • Design and develop logical and physical data models in the Snowflake environment to support analytical and reporting needs.
  • Build and maintain semantic data layers to ensure smooth integration with Power BI and other visualization tools.
  • Lead the design and implementation of data warehousing solutions aligned with business requirements.
  • Perform query and performance tuning to optimize Snowflake workloads and resource utilization.
  • Define and enforce data security, access controls, and governance within the Snowflake platform.
  • Collaborate with business and analytics teams to translate requirements into scalable data architecture solutions.
  • Provide best practices and guidance for Snowflake development, data modeling, and data pipeline optimization.

Requirements

  • 12+ years of progressive experience in data engineering, data warehousing, and cloud architecture roles.
  • Minimum of 8+ years specifically in a client-facing role, designing and implementing large-scale data migration projects.
  • Strong experience in data modeling (conceptual, logical, physical) within the Snowflake environment.
  • Strong expertise in data warehousing concepts and ETL/ELT processes.
  • Hands-on experience with Snowflake performance tuning, clustering, and security setup.
  • Working knowledge of Power BI or similar BI tools, with experience building semantic layers.
  • Proficiency in SQL and understanding of data governance and security principles.
  • Experience with cloud data platforms (Azure, AWS, or GCP).
  • Familiarity with data pipeline orchestration tools (e.g., Airflow, Azure Data Factory, DBT).
  • Participate in fast iteration cycles, adapting to evolving project requirements.
  • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications.
  • Collaborate with Data scientists, software engineers, data engineers, and other stakeholders to develop and implement best practices for MLOps, including CI/CD pipelines, version control, model versioning, monitoring, alerting and automated model deployment.
  • Ability to work with a global team, playing a key role in communicating problem context to the remote teams

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.