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Applied Statistics Remote Jobs in Texas (NOW HIRING)

HCM STRATEGISTS, LLC

Associate Director

Austin, TX · On-site +1

$63K - $102K/hr

... and applied statistical modeling. * Demonstrated ability to build, clean, merge, document, and ... Remote Travel : 15>#/p### Reports to : Director of State Policy & Strategy Direct Reports : N/A ...

2U

Data Scientist II

Crystal City, TX · On-site +1

Applied machine learning Use standard ML techniques (classification, regression, clustering) where ... Statistics & data rigor: Solid foundation in hypothesis testing, power analysis, confidence ...

Arva Intelligence

Modeling Scientist

Houston, TX · On-site +1

$100K - $160K/yr

Remote Base Salary Range : $100k - $160k base salary The Modeling Scientist is responsible for ... Master's or PhD degree or equivalent experience in Statistics, Applied Mathematics, Environmental ...

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Applied Statistics Remote information

What is an Applied Statistics Remote job?

An Applied Statistics Remote job involves using statistical methods and data analysis techniques to solve real-world problems, all while working from a remote location. Professionals in this field collect, analyze, and interpret data to provide insights for decision-making across various industries such as healthcare, finance, and technology. Remote applied statisticians often collaborate virtually with teams, utilize statistical software, and communicate findings through reports or presentations. This role requires strong analytical skills, proficiency in statistical tools, and the ability to work independently.

What are the key skills and qualifications needed to thrive as an Applied Statistics professional in a remote role, and why are they important?

To thrive as an Applied Statistics professional working remotely, you need a solid background in statistical theory, data analysis, and a degree in statistics, mathematics, or a related field. Proficiency with statistical software such as R, Python, SAS, or SPSS, and familiarity with data visualization tools are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills are essential for interpreting data and collaborating virtually. These skills ensure accurate analyses, clear insights, and successful teamwork, which are crucial for delivering impactful statistical solutions in a remote environment.

What is the difference between Applied Statistics Remote vs Data Analyst?

AspectApplied Statistics RemoteData Analyst
Required CredentialsBachelor's or Master's in Statistics, Mathematics, or related fieldBachelor's in Statistics, Data Science, or related field
Work EnvironmentRemote, often project-based or contract rolesRemote or on-site, typically in corporate or tech settings
Industry UsageResearch, academia, consulting, tech companiesBusiness, finance, marketing, tech companies
Common Search/ComparisonApplied Statistics RemoteData Analyst

Applied Statistics Remote and Data Analyst roles share similar educational backgrounds and often work in remote environments. However, Applied Statistics Remote roles tend to focus more on statistical modeling and research, while Data Analysts often handle data visualization and reporting for business insights. Both roles are in high demand across various industries, with Applied Statistics Remote positions leaning more toward research and academic projects.

How does working remotely in an applied statistics role influence collaboration and project management with cross-functional teams?

In a remote applied statistics position, collaboration often relies on digital tools such as video conferencing, shared code repositories, and project management platforms. Statisticians frequently work with data scientists, engineers, and business stakeholders, making clear communication and documentation essential for successful project outcomes. Regular virtual meetings and asynchronous updates help align team objectives and ensure data-driven insights are integrated effectively. While remote work offers flexibility, it also requires proactive engagement to stay connected and maintain productivity within a distributed team environment.
What are the most commonly searched types of Applied Statistics jobs in Texas? The most popular types of Applied Statistics jobs in Texas are:
What are popular job titles related to Applied Statistics Remote jobs in Texas? For Applied Statistics Remote jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Applied Statistics Remote jobs in Texas look for? The top searched job categories for Applied Statistics Remote jobs in Texas are:
What cities in Texas are hiring for Applied Statistics Remote jobs? Cities in Texas with the most Applied Statistics Remote job openings:
Applied Statistics Remote jobs near you

Senior Machine Learning Engineer - Content and Contributor Intelligence (Remote - United States)

Yelp, Inc

Austin, TX • Remote

$103K - $142K/yr

Full-time

Re-posted 15 days ago

Yelp rating

7.8

Company rating: 7.8 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

135th of 241 rated software companies

Job description

Summary

Yelp engineering culture is driven by our values: we're a cooperative team that values individual authenticity and encourages creative solutions to problems. All new engineers deploy working code their first week, and we strive to broaden individual impact with support from managers, mentors, and teams. At the end of the day, we're all about helping our users, growing as engineers, and having fun in a collaborative environment.

Yelp's mission of connecting people with great local businesses requires the use of cutting-edge Machine Learning (ML) and Artificial Intelligence (AI) to scale across a vast and diverse base of users and businesses spanning various geographical locations. As a Staff-level ML Engineer on the Content Contributor Intelligence team, you will help build connections across millions of users and business listings. Your work will involve using cutting-edge industry tools, including neural networks (NNs), large language models (LLMs), and various embedding techniques for text, images, and videos. Additionally, you will apply traditional ML methods such as XGBoost and linear models to enhance our systems.  You'll be responsible for turning raw data into valuable signals and building ML systems end-to-end. This includes the full ML lifecycle from training models to deploying them in production, as well as contributing to the ML platforms these models rely on. 

This opportunity is fully remote and does not require you to be located in any particular state within the US. We welcome applicants from throughout the US. We'd love to have you apply, even if you don't feel you meet every single requirement in this posting. At Yelp, we're looking for great people, not just those who simply check off all the boxes.

What you'll do:
  • Conduct end-to-end analyses, wrangling data via SQL or Python, to statistical modeling, to hypothesizing and presenting business ideas.
  • Mentor and guide junior engineers, fostering a culture of learning and technical excellence.
  • Work with large and complex textual and visual datasets.
  • Support the development and deployment of projects involving machine learned models for offline, batch-based data products as well as models deployed to online, real-time services.
  • Work in the contributor and visual intelligence team on text and visual understanding, along with fine tuning transformer models to derive embeddings for multiple input types
  • Productionize and automate model pipelines within Python services.
  • Drive and advocate adoption of best practices in ML development and operations, and mentor newer engineers in those practices.
What it takes to succeed:
  • Experience developing and productionizing machine learning models, particularly in neural networks, computer vision and LLMs including their supported data pipelines.
  • Experience with machine learning using packages such as PyTorch, TensorFlow, Spark MLlib, XGBoost, and Sklearn.
  • Strong coding skills in Python or equivalent (Java, C++).
  • Solid understanding of engineering and infrastructure best practices.
  • The curiosity to uncover promising solutions to new problems, and the persistence to carry your ideas through to an end goal.
  • We highly value experience of working with LLMs, utilizing LLM APIs (OpenAI, Bedrock, etc), prompt engineering and evaluation.
  • A Bachelor's Degree or an equivalent work experience is required
What you'll get:
  • There are a variety of factors that go into determining a salary range, including but not limited to external market benchmark data, geographic location, and years of experience. Based on the anticipated level of experience we are seeking, we expect the compensation range for this role to be between $112,000 and $269,000. You may also be offered a bonus, restricted stock units, and benefits.
  • This opportunity has the option to be fully remote in all locations across the US.
  • You can find more information about Yelp's five star benefits here!
ClosingAt Yelp, we believe that diversity is an expression of all the unique characteristics that make us human: race, age, sexual orientation, gender identity, religion, disability, and education - and those are just a few. We recognize that diverse backgrounds and perspectives strengthen our teams and our product. The foundation of our diversity efforts are closely tied to our core values, which include "Playing Well With Others" and "Authenticity." We're proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition or disability. Actual salary offered may vary based on multiple factors, including but not limited to, an individual's location and experience.  We will consider for employment qualified candidates with arrest and conviction records, consistent with applicable law (including, for example, the San Francisco Fair Chance Ordinance for roles based in San Francisco, the Los Angeles County Fair Chance Ordinance for roles based in the unincorporated areas of Los Angeles County, and the California Fair Chance Act for roles based in California). Where required by law, a criminal background check will not be conducted until after a conditional offer of employment is made, and any evaluation of a candidate's criminal background check will be subject to an individualized assessment that takes into account the candidate's specific criminal records and the responsibilities and requirements of the particular role. We are committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-recruiting@yelp.com or 415-969-8488. Note: Yelp does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Yelp is not responsible for any fees related to unsolicited resumes. US Recruiting and Applicant Privacy Notice Notice to Washington Applicants - Washington State Fair Chance Act #LI-RemoteEmployment Type: FULL_TIME

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