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Remote Mathematical Statistician Jobs in Texas (NOW HIRING)

Tamus

Geospatial Analyst II

College Station, TX · On-site +1

$6.0K/mo

... math, statistics, or related field of study. -Minimum of 4 years in geospatial analysis ... Python, and remote sensing software. -Working knowledge of relational database concepts ...

CSAA

BA/BS in statistics, mathematics, actuarial science or related area and 5+ years of post-bachelor ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Stryker

Senior Lead Data Engineer (Remote)

Dallas, TX · On-site +1

Remote As a Senior Lead, Data Engineering, you will serve as a technical leader who helps shape the ... Information Systems, Mathematics, Statistics, or a related technical field. * 6+ years of ...

Insolation Technology Ltd

Data Analyst

Houston, TX · On-site +1

$21 - $26/hr

Bachelors degree in Data Science, Statistics, Mathematics, Engineering, or a related field ... Flexible work schedule and remote work options Job Type: * Full time Pay: * $21.00 - $26.00 per ...

Confie

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

Flexible work options, including remote and hybrid opportunities, if eligible * Retirement Plan ... Mathematics, Statistics, Econometrics) Expertise in manipulating and analyzing large data (e.g ...

YO AI Labs

Physics Expert - Remote

Austin, TX · Remote

$80 - $160/hr

Remote Job Overview We are seeking established Physics Professors and Principal Investigators to ... Mathematical Physics * Biophysics * Statistical Physics * Condensed Matter Physics * AMO / Quantum ...

YO AI Labs

Physics Expert - Remote

Houston, TX · Remote

$80 - $160/hr

Remote Job Overview We are seeking established Physics Professors and Principal Investigators to ... Mathematical Physics * Biophysics * Statistical Physics * Condensed Matter Physics * AMO / Quantum ...

YO AI Labs

Physics Expert - Remote

Dallas, TX · Remote

$80 - $160/hr

Remote Job Overview We are seeking established Physics Professors and Principal Investigators to ... Mathematical Physics * Biophysics * Statistical Physics * Condensed Matter Physics * AMO / Quantum ...

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Remote Mathematical Statistician information

What does a remote mathematical statistician do?

A remote mathematical statistician analyzes and interprets data using advanced mathematical and statistical techniques while working from a location outside of a traditional office. They design experiments, develop statistical models, and help organizations make data-driven decisions. Their work often involves programming, data visualization, and collaborating with teams virtually. Remote mathematical statisticians are commonly employed in sectors like government, healthcare, finance, and technology.

What are the key skills and qualifications needed to thrive as a remote mathematical statistician?

To thrive as a Remote Mathematical Statistician, you need advanced knowledge of probability, statistical analysis, and a relevant degree such as mathematics, statistics, or a related field. Proficiency in statistical software like R, SAS, Python, and experience with data management tools are typically required. Strong analytical thinking, attention to detail, and excellent written communication skills help you interpret data and present complex findings clearly. These skills are critical to ensure accurate data analysis, effective remote collaboration, and insightful decision-making for organizations.

How do remote mathematical statisticians typically collaborate with team members and stakeholders across different locations?

Remote Mathematical Statisticians frequently use digital collaboration tools such as video conferencing, shared code repositories, and project management platforms to communicate and work with colleagues. They often participate in regular virtual meetings to discuss statistical methodologies, share updates on data analysis, and align on project goals with cross-functional teams such as data scientists, researchers, and subject matter experts. Building clear communication channels and proactively sharing progress are essential, as remote work can sometimes make it challenging to stay aligned and receive timely feedback. Effective collaboration also involves documenting methods and findings clearly to ensure transparency and reproducibility within a distributed team.

What is the difference between Remote Mathematical Statistician vs Remote Data Analyst?

AspectRemote Mathematical StatisticianRemote Data Analyst
Required credentialsMaster's or PhD in Statistics, Mathematics, or related fieldBachelor's or Master's in Statistics, Data Science, or related field
Work environmentResearch-focused, statistical modeling, and analysisData processing, visualization, and reporting
Employer usageResearch institutions, government agencies, healthcare, tech companiesBusiness, marketing, finance, tech companies
Search intentComparing roles involving advanced statistical modelingRoles focused on data interpretation and reporting

The Remote Mathematical Statistician primarily focuses on advanced statistical modeling and research, often requiring higher-level credentials like a master's or PhD. In contrast, a Remote Data Analyst typically handles data processing, visualization, and reporting, with a broader range of educational backgrounds. Both roles are common in tech, healthcare, and research industries, but they serve different functions within data teams.

What are popular job titles related to Remote Mathematical Statistician jobs in Texas?

For Remote Mathematical Statistician jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Remote Mathematical Statistician jobs in Texas look for?

The top searched job categories for Remote Mathematical Statistician jobs in Texas are:

Remote Mathematical Statistician jobs near you

R&D Data Scientist: Mathematical Modeling and Optimization

Liftlab Analytics, Inc.

Austin, TX • Remote

Full-time

Re-posted 17 days ago

Job description

(Fully-remote US position)
About LiftLab

Liftlab is the leading provider of science-driven software to optimize marketing spend and predict revenue for optimal spend levels. We call this the Science of Marketing Effectiveness. Our platform combines economic modeling with specialized media experimentation so brands and agencies can clearly see the tradeoffs of growth and profitability. With decades of experience in marketing analytics and data science, our team of industry experts and thought leaders is proud to enable leading and emerging brands such as Cinemark, Express, Hanna Anderson, Lulu & Georgia, Pandora, Sephora, Skims, Tory Burch, Thrive, and Vionic, with our cutting-edge solutions and strategic guidance.

Job responsibilities

  • Develop new algorithm-based features of LiftLab's marketing measurement and optimization platform

  • Performs diagnostics and root-cause analysis and provide fixes

  • Works with Data Science and Engineering to implement these features into LiftLabs product and workflow

Course work/experience:

  • Data manipulation

    • SQL

    • Operating on big datasets in Python

    • Data visualization

  • Mathematical optimization

    • Linear optimization concepts

    • Nonlinear continuous optimization

    • Linear algebra

  • Mathematical modeling

    • Using parametrized systems of equations to represent real-world systems

  • Statistics

    • Multivariate regression

    • Clear understanding of Maximum Likelihood estimation and computational methods to find MLE parameters

    • Bayesian concepts

    • Hypotheses testing

Education requirements

Graduate degree in Applied Mathematics, Scientific Computing, Operations Research or related field. We will consider holders of Bachelor degrees with relevant experience

Skills/Aptitude

  • Engineering and detective mindset

    • Both to diagnose data and existing algorithms and to develop new analytics functionality

  • Pragmatic approach to real-world problems

  • Focus on problem solving over applying specific models

  • Willingness to make approximations and assumptions rather than find "the" optimal solution

  • Ability to combine multiple techniques and models to solve end-to end-problems

  • Communication and collaboration skill

  • Ability to convert non-technical requests into project specifications

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