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Statistical Engineering Jobs in Spring, TX (NOW HIRING)

Pwc

CTIO AI Engineering Manager

Houston, TX · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... You will work on developing predictive models, conducting statistical analysis, and creating data ...

SynergisticIT

Python Developer

Houston, TX · On-site

$48 - $66.25/hr

Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT, Mathematics, * Must have Mathematics or statistics background * Highly ...

Astrix Inc

Product Engineer I

Houston, TX · On-site

Applies statistical analysis to assess process control, manage product quality risks, and support non-conformance decisions. Qualifications: * 1-3 years experience in an engineering or scientific R&D ...

Pwc

US Tech - AI Engineering Senior Associate

Houston, TX · On-site

$55K - $187K/yr

You will work on developing predictive models, conducting statistical analysis, and creating data ... engineering, AI/ML engineering, or quality engineering - In lieu of a Bachelor's Degree ...

Varsity Tutors

FE - Civil Engineering Tutor

Houston, TX · Remote

$18 - $40/hr

Deep knowledge of FE Civil examination content covering mathematics, probability and statistics, statics, dynamics, mechanics of materials, fluid mechanics, hydraulics, geotechnical engineering ...

AllRight Jobs Inc

Python Developer ARJ/118

Houston, TX · On-site

$90 - $95/hr

Job Summary - Short-term, 7-week onsite Python Developer role in Houston (5 days/week). - Focus on developing analytics solutions using Python, Databricks, and statistical modeling techniques ...

Par Pacific

Data Analyst

Houston, TX · On-site

Bachelor's degree in Data Science, Information Systems, Statistics, Engineering, Computer Science, or a related field preferred * Minimum 3 years' of hands-on experience in a data analyst or similar ...

Deloitte

AI Engineer Consultant

Houston, TX · Hybrid

Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science) * 2+ years building and delivering LLM/GenAI solutions with Claude/GPT(Codex)/Gemini-class models ...

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All JobsStatistical Engineering JobsStatistical Engineering Jobs in Spring, TX

Statistical Engineering information

What are the key skills and qualifications needed to thrive as a Statistical Engineer, and why are they important?

To thrive as a Statistical Engineer, you need strong quantitative analysis skills, a background in statistics or mathematics, and often a relevant degree such as in engineering or applied statistics. Proficiency with statistical software (e.g., R, SAS, Python), data management systems, and sometimes Six Sigma certification is typically required. Critical thinking, problem-solving, and clear communication are crucial soft skills for interpreting data and collaborating with multidisciplinary teams. These skills ensure accurate data-driven decisions, efficient process improvements, and effective solutions to complex engineering challenges.

What engineers make $300,000 a year?

Senior statistical engineers or data science leaders with extensive experience, advanced skills in statistical modeling, programming, and data analysis can earn $300,000 or more annually. These roles often require advanced degrees, certifications, and leadership responsibilities in industries like finance, technology, or pharmaceuticals.

What do statistical engineers do?

Statistical engineers develop and implement statistical models and methods to analyze complex data, often focusing on process improvement and quality control. They use tools like statistical software and programming languages such as R or Python and collaborate with data scientists and engineers to optimize systems and decision-making processes.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and certain roles in financial engineering can earn $500,000 or more annually, often including bonuses and stock options. High compensation typically requires extensive experience, advanced skills, and working in high-demand industries or leadership positions.

What is the difference between Statistical Engineering vs Data Scientist?

AspectStatistical EngineeringData Scientist
Required credentialsStatistics, Data Analysis, EngineeringStatistics, Computer Science, Data Analysis
Work environmentManufacturing, R&D, Engineering teamsBusiness, Tech, Research sectors
Employer usageOptimizing processes, designing experimentsBuilding models, insights, predictive analytics

Statistical Engineering focuses on applying statistical methods to improve engineering processes and product development, often within manufacturing or R&D settings. Data Scientists analyze large datasets to extract insights, build predictive models, and support business decisions. While both roles require strong statistical skills, Statistical Engineering emphasizes process optimization and experimental design, whereas Data Scientists focus on data-driven insights across diverse industries.

How much does a Statistical Engineer make?

The average salary for a Statistical Engineer typically ranges from $70,000 to $120,000 annually, depending on experience, education, and location. Professionals in this role often use statistical software and data analysis tools, and advanced skills can lead to higher compensation.

How does a Statistical Engineer typically collaborate with cross-functional teams to implement data-driven solutions?

Statistical Engineers frequently work alongside data scientists, software engineers, and business analysts to design and implement robust data-driven solutions. They are responsible for translating complex statistical models into actionable insights and ensuring that these models are integrated effectively within existing systems. Collaboration often involves regular meetings to align on project goals, sharing progress updates, and troubleshooting technical challenges together. This interdisciplinary teamwork is essential for ensuring that statistical methodologies are not only theoretically sound but also practically applicable to real-world business problems.

What is statistical engineering?

Statistical engineering is an interdisciplinary field that focuses on the integration and application of statistical methods and principles to solve complex, large-scale problems in science, business, and engineering. It involves designing data collection processes, analyzing and interpreting data, and implementing statistical solutions within larger systems. Statistical engineers often work on projects that require collaboration with other engineering disciplines, using statistics as a foundational tool to drive decision-making and innovation.
What are popular job titles related to Statistical Engineering jobs in Spring, TX? For Statistical Engineering jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Statistical Engineering jobs in Spring, TX look for? The top searched job categories for Statistical Engineering jobs in Spring, TX are:
What cities near Spring, TX are hiring for Statistical Engineering jobs? Cities near Spring, TX with the most Statistical Engineering job openings:
Statistical Engineering jobs near you
Consultant (BI Developer Skillset)

Consultant (BI Developer Skillset)

evolv Consulting

Houston, TX

$45.75 - $62.75/hr

Full-time

Posted 8 days ago

Job description

Do you want to support innovative clients at the intersection of cutting-edge technologies and impactful relationships?

evolv's culture of integrity, humility, passion, and drive and have been named "Best Places to Work" by Dallas Business Journal in 2021 and 2022, "Top Workplaces" by Dallas Morning News in 2023, ranked #368 on Inc. 5000's list of fastest growing private companies in 2023 and ranked #14 on the 2024 Inc. Regionals: Southwest list of fastest growing private companies in America.

We are seeking a talented and professional Consultant (BI Developer Skillset) to join our team.

Responsibilities:

  • Lead the design of scalable big data platforms/solutions used to ingest and process accurately scaled traffic data.
  • Build end-to-end solutions that enable business stakeholders, BI engineers, and analysts to self-serve their business intelligence needs.
  • Develop and automate large scale, high-performance, scalable platform (batch and/or streaming) to drive faster analytics.
  • Design large-scale, complex applications and frameworks with excellent run-time characteristics such as low-latency, fault-tolerance, and availability.
  • Build and maintain custom frameworks to support engineering/analytics needs.
  • Partner with analytic consumers and data scientists to build and improve new/existing constructs and solve data engineering problems at scale.
  • Deploy inclusive data quality checks to ensure high quality of data.
  • Evangelize high quality software engineering practices towards building data infrastructure and pipelines at scale.
  • Remain committed to successful delivery to the client on every engagement (success metrics involve deliverables met, client satisfaction, future project recommendations/extensions and collaboration).
  • Prioritize operational excellence by meeting or exceeding all utilization goals.
  • Contribute toevolv's culture and personal development through collaborating well internally, displaying our core values, participating in internal initiatives (events/groups), and/or obtaining new certifications approved by leader.
  • Help growevolv by providing team member/client referrals and connecting with our internal network.
  • Other duties as assigned.

Requirements:

  • 3+ years of experience as a BI Developer or in a similar role (data science, business intelligence or business analytics).
  • Experience with SQL, Tableau and etc.
  • Bachelor's degree or higher in a quantitative/technical field (e.g., Computer Science, Economics, Finance, Mathematics, Statistics, Engineering).
  • Proven track record of independently delivering big data solutions.
  • Ability to manage competing priorities simultaneously and drive projects to completion.
  • Knowledge of continuous integration, testing methodologies, TDD and agile development methodologies.
  • Knowledge of Data formats (Parquet, ORC etc.) and consensus management systems.
  • Exposure to structured or unstructured storage and distributed caching.
  • Experience in open-source technologies is plus.
  • Structured thinking with ability to easily break down ambiguous problems and propose impactful solutions.
  • Attention to detail and effective verbal/written communicationskills.

We believe in being inclusive of all people regardless of gender, race, religion, sexual orientation, age, or any attribute not relevant to job performance. We know that an inclusive, equitable and diverse company is a more innovative and successful one. We aim to employ the most talented professionals in the world by casting a wide net to find Team Members with shared values.evolv is committed to creating and maintaining a high-performing workplace in which all Team Members have a fair and just opportunity to contribute to the success of the business and are valued for their skills, experience, and authentic perspectives.

EOE/M/F/D/V

Employment Type: Full-Time

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