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Remote Behavioral Data Scientist Jobs in Texas (NOW HIRING)

YO AI Labs

AI Data Scientist Expert - Remote

Dallas, TX · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

YO AI Labs

AI Data Scientist Expert - Remote

Houston, TX · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

YO AI Labs

AI Data Scientist Expert - Remote

Austin, TX · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

Kemper

Data Scientist

Dallas, TX · On-site +1

Data Science is a driver of significant competitive advantage for Kemper and is critical to the ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

2U

Data Scientist II

Crystal City, TX · On-site +1

... complex behavioral datasets. We are looking for someone who is excited by ambiguous business ... While this position is open to remote candidates across the U.S., we will prioritize those who live ...

Toyota

Data Scientist

Plano, TX · On-site +1

... and remote work on Fridays Who we're looking for: Toyota Financial Services is seeking highly ... Experience working in Data Science outside of a degree-seeking academic program. What we'll bring ...

Bread Financial

Lead Data Scientist

Frisco, TX · On-site +1

$144K - $250K/yr

The Lead Data Scientist is pivotal in generating insights and supporting the enterprise's data ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

Select Minds LLC

Sr Data Scientist GenAI

Dallas, TX · On-site +1

$150K - $210K/yr

Ability to reason about model behaviour, bias, uncertainty. - Good communicator: able to translate ... This position is temporarily remote. Compensation: $150,000.00 - $210,000.00 per year About Us We ...

CSAA

... Remote Your Role ... This Data Scientist role offers the opportunity to help CSAA Insurance Group anticipate and prepare ...

Fliff

Senior Data Scientist

Austin, TX · On-site +1

You'll work directly with marketing, product, and finance leaders to turn raw behavioral and ... as a data scientist, marketing analyst, or growth analyst, ideally in a consumer app, gaming ...

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Remote Behavioral Data Scientist information

What is a remote behavioral data scientist?

A Remote Behavioral Data Scientist is a professional who analyzes large sets of behavioral data to uncover patterns, trends, and insights about how people act and make decisions. This role is performed remotely, allowing the scientist to work from any location using digital tools to collaborate with teams. They often use statistical modeling, machine learning, and data visualization to interpret user behavior, drive business strategies, and improve products or services. Their work helps organizations better understand customer needs and optimize user experiences based on data-driven evidence.

What are the key skills and qualifications needed to thrive as a remote behavioral data scientist?

To thrive as a Remote Behavioral Data Scientist, you need a solid background in statistics, machine learning, data analysis, and behavioral science, often supported by an advanced degree in a related field. Familiarity with programming languages like Python or R, data visualization tools, and experience with cloud-based data platforms are typically required. Strong communication, problem-solving abilities, and self-motivation are crucial soft skills for remote collaboration and translating behavioral insights to stakeholders. These skills and qualities are essential for effectively analyzing complex data, delivering actionable insights, and succeeding in a remote, interdisciplinary environment.

How does a remote behavioral data scientist typically collaborate with cross-functional teams despite working remotely?

Remote Behavioral Data Scientists frequently collaborate with product managers, engineers, UX researchers, and other analysts through virtual meetings and shared digital workspaces. Regular communication using project management tools, video conferencing, and collaborative coding platforms ensures alignment on project goals and data insights. Proactive scheduling and clear documentation are vital for overcoming time zone differences and maintaining project momentum. This remote structure encourages autonomy but requires strong self-management and communication skills to be effective.

What is the difference between Remote Behavioral Data Scientist vs Remote Data Analyst?

AspectRemote Behavioral Data ScientistRemote Data Analyst
Required CredentialsMaster's or PhD in Data Science, Psychology, or related fields; experience with statistical modeling and behavioral analysisBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in data visualization and basic analysis
Work EnvironmentCollaborates with behavioral scientists, product teams, and research departments in tech or healthcare industriesSupports business decision-making across various industries, often in corporate or consulting settings
Employer & Industry UsageUsed in tech, healthcare, and research organizations focusing on user behavior and psychological insightsCommon in finance, marketing, and business intelligence sectors for data reporting and insights

The Remote Behavioral Data Scientist specializes in analyzing behavioral data to understand human actions, often requiring advanced statistical and psychological expertise. In contrast, the Remote Data Analyst focuses on interpreting data to support business decisions, typically with less emphasis on behavioral theories. Both roles involve data handling but serve different strategic purposes within organizations.

What are the most commonly searched types of Behavioral Data Scientist jobs in Texas?

The most popular types of Behavioral Data Scientist jobs in Texas are:

What are popular job titles related to Remote Behavioral Data Scientist jobs in Texas?

For Remote Behavioral Data Scientist jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Remote Behavioral Data Scientist jobs in Texas look for?

The top searched job categories for Remote Behavioral Data Scientist jobs in Texas are:

What cities in Texas are hiring for Remote Behavioral Data Scientist jobs?

Cities in Texas with the most Remote Behavioral Data Scientist job openings:

Remote Behavioral Data Scientist jobs near you

Data Scientist - Remote

NAVA Software Solutions

Houston, TX • On-site, Remote

Full-time

Re-posted 17 days ago

Job description

NAVA Software solutions is looking for a Data Scientist
Details:
Data Scientist
Location: Houston TX - Remote is ok
Duration: 12 months
Clients want a data scientist who can develop machine learning models to run forecast scenarios. Also, they want this person to be knowledgeable in AWS Cloud technology
A Data Scientist with physical pipeline experience typically specializes in analyzing and optimizing physical infrastructure pipelines, such as those used in the oil and gas industry or transportation networks. Here are some common job duties associated with this role:
  • Data collection and integration: Data scientists with physical pipeline experience gather data from various sources related to the infrastructure pipelines, such as sensors, SCADA (Supervisory Control and Data Acquisition) systems, or IoT devices. They integrate and consolidate the data for analysis and modeling.
  • Pipeline performance analysis: These professionals analyze the performance of physical pipelines by examining data related to flow rates, pressure levels, temperature, corrosion, and other relevant factors. They use statistical techniques and machine learning algorithms to identify patterns, anomalies, and potential issues that may affect pipeline operations.
  • Predictive modeling and maintenance optimization: Data scientists develop predictive models to forecast pipeline performance and detect potential failures or maintenance needs. They utilize historical data, sensor measurements, and other relevant parameters to train models that can predict future events, such as leaks, blockages, or equipment failures. By identifying critical maintenance requirements in advance, they can optimize maintenance schedules and minimize downtime.
  • Risk assessment and mitigation: Data scientists assess risks associated with physical pipelines, such as environmental hazards, security threats, or regulatory compliance. They develop risk assessment models and analyze the impact of different factors on pipeline safety and integrity. Based on these analyses, they propose mitigation strategies to minimize risks and ensure compliance with safety regulations.
  • Optimization of pipeline operations: Data scientists work on optimizing the operational efficiency of physical pipelines. They analyze data to identify areas of improvement, such as reducing energy consumption, optimizing transportation routes, or improving overall system performance. By applying data-driven approaches and algorithms, they provide recommendations to optimize pipeline operations and maximize efficiency.
  • Visualization and reporting: Data scientists with physical pipeline experience create visualizations, reports, and dashboards to communicate their findings and recommendations effectively. They present complex data in a visually understandable format, allowing stakeholders to make informed decisions regarding pipeline maintenance, operations, and risk management.
  • Collaboration with cross-functional teams: These professionals collaborate with engineers, domain experts, operations personnel, and other stakeholders involved in managing physical pipelines. They work together to understand the specific requirements, constraints, and challenges associated with the infrastructure. Effective communication and teamwork are essential to ensure alignment and successful implementation of data-driven solutions.
  • Continuous improvement and innovation: Data scientists keep up with the latest advancements in data science, machine learning, and pipeline technologies. They explore new methodologies, algorithms, and tools to enhance their skills and propose innovative solutions to address pipeline-related challenges.
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About NAVA Software Solutions

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NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

Social media

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