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

Mondo

BA

Houston, TX · Remote

$44 - $68/hr

Hybrid (4 days onsite / Fridays remote) Start Date: ASAP - targeting August 3 Duration: 12-month ... Bachelor's degree in Data Science, Computer Science, Information Systems, or related field * Proven ...

Pae

GIS Developer

Houston, TX · On-site +1

Employ GIS and remote sensing techniques to Earth, Moon, and other planetary image data in support ... Provide science services and technology products to a range of human exploration organizations ...

NATIONMIND LLC

Data Analyst

Houston, TX · Remote

$40 - $45/hr

Houston, TX or US Remote Duration: 6-12 months Skills: Data Analytics & Insights : ignio AIOps Experience Required: 6-8 Years Role Description: Data Analyst Strong experience in data analysis ...

SynMax

Senior Full-Stack Engineer

Houston, TX · On-site +1

Work alongside software engineers and data scientists, providing programming and infrastructure ... A fully remote role within a collaborative environment, plus optional access to our Houston office.

SynMax

Senior Full-Stack Engineer

Houston, TX · Remote

Work alongside software engineers and data scientists, providing programming and infrastructure ... A fully remote role within a collaborative environment, plus optional access to our Houston office.

Amplity Health

Medical Science Liaison - CST

Katy, TX · On-site +1

These are remote field-based roles. Purpose of Role The Medical Science Liaison (MSL) is ... Critical data analysis skills * Ability to function well, both independently and within a team ...

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Remote Data Science information

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

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

Can I work remotely in data science?

Yes, data science is a field that often offers remote work opportunities. Many companies hire data scientists to work remotely, requiring skills in programming, data analysis, and tools like Python or R. Remote data science roles typically involve collaboration through online platforms and may require strong communication skills.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

Can a data scientist work fully remote?

Yes, many data scientists work fully remote, especially in companies that prioritize flexible work arrangements. Remote data science roles often require strong communication skills, proficiency with collaboration tools, and the ability to work independently on projects using programming languages like Python or R. However, some positions may require occasional in-person meetings or on-site presence depending on company policies.

Is 40 too late for data science?

Remote data science roles are open to candidates of various ages, and starting a career at 40 is possible with relevant skills in programming, statistics, and machine learning. Many professionals transition into data science later in life by gaining certifications and building portfolios, making age less of a barrier in this field.

What Are the Qualifications to Get a Remote Data Science Job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

How can I make $100,000 a year working from home?

Remote data scientists can earn $100,000 or more annually by gaining advanced skills in machine learning, programming languages like Python or R, and data visualization tools. Building a strong portfolio, obtaining relevant certifications, and gaining experience in high-demand industries can help achieve this income level while working remotely.
More about Remote Data Science jobs
What are the most commonly searched types of Data Science jobs in Spring, TX? The most popular types of Data Science jobs in Spring, TX are:
What are popular job titles related to Remote Data Science jobs in Spring, TX? For Remote Data Science jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Remote Data Science jobs in Spring, TX look for? The top searched job categories for Remote Data Science jobs in Spring, TX are:
What cities near Spring, TX are hiring for Remote Data Science jobs? Cities near Spring, TX with the most Remote Data Science job openings:
Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Spring, TX as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
BA

BA

Mondo

Houston, TX • Remote

$44 - $68/hr

Contractor

Medical, Dental, Vision, Retirement

Posted 26 days ago

Job description

Job Title: Business Analyst - Data & Optimization Location: Onsite in Houston, TX Location Type: Hybrid (4 days onsite / Fridays remote) Start Date: ASAP - targeting August 3 Duration: 12-month contract Compensation: $44-68/hr W2 Benefits: Eligible for Health, Dental, Vision, 401K Must be authorized to work in the U.S. This position is not eligible for sponsorship .

Job Description: Our client is seeking a skilled Business Analyst to join their Data and Optimization team on a 12-month contract. This role focuses on strategic data management, data governance, and data mapping initiatives, leveraging AI-driven automation and advanced analytics to ensure data accuracy and accessibility across the organization. The ideal candidate is highly self-motivated, capable of driving projects forward independently while collaborating with cross-functional stakeholders to improve data quality and business outcomes.

Day-to-Day Responsibilities:

  • Lead deployment of new reports, automation solutions, and Data Center processes - including validation, documentation, and stakeholder sign-off
  • Drive user enablement through targeted training sessions, job aids, and ongoing support to ensure adoption of new capabilities
  • Assist in developing and implementing data management strategies using AI and automation to validate, cleanse, and monitor data quality at scale
  • Support data governance initiatives to maintain data accuracy, consistency, and regulatory compliance
  • Perform data mapping to ensure seamless integration and interoperability across systems
  • Collaborate with cross-functional teams to democratize data and enable self-service, AI-assisted access for decision-making
  • Conduct data analysis and proofs-of-concept (POCs), including AI-enabled validation and pattern detection, to surface trends and insights
  • Develop and maintain data documentation including data dictionaries, metadata, data lineage, and user support artifacts
  • Define project objectives, success criteria, and key performance indicators (KPIs)

Minimum Requirements:

  • Proficiency in Snowflake, Atlan, and/or MS Fabric
  • AI knowledge and/or implementation experience
  • Bachelor's degree in Data Science, Computer Science, Information Systems, or related field
  • Proven experience in data analysis, data management, and data governance
  • Proficiency in SQL and relational databases (joins, aggregations, macros, functions)
  • Experience with data visualization tools, particularly Power BI
  • Strong knowledge of data mapping techniques and tools
  • Experience with data catalog tools and metadata management
  • Knowledge of data privacy regulations and compliance standards
  • Exceptional verbal and written communication skills - able to translate complex data concepts for both executive and non-technical audiences
  • Strong analytical and problem-solving skills
  • Background in logistics strongly preferred
Preferred Qualifications:
  • Experience with automation tools for data validation and cleanup workflows

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