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Statistical Engineering Jobs in Connecticut (NOW HIRING)

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Proficient with standard business tools (email, Word, Excel, databases); statistical programming is a plus. * Ability to prioritize work, manage multiple projects, and delegate effectively. * Follow ...

Proficient with standard business tools (email, Word, Excel, databases); statistical programming is a plus. * Ability to prioritize work, manage multiple projects, and delegate effectively. * Follow ...

Proficient with standard business tools (email, Word, Excel, databases); statistical programming is a plus. * Ability to prioritize work, manage multiple projects, and delegate effectively. * Follow ...

Engineering Technician II

Southington, CT ยท On-site

$26 - $34/hr

Analyzes data (including basic statistics) and reports/presents on timely basis. Must Have: * Basic Knowledge of Minitab * Knowledge and skill in engineering records keeping procedures and methods

Proven programming, statistics, and data analysis skills (e.g., Python, SQL, R) * Strong analytical thinking and a demonstrated interest in solving complex problems * Excellent written and verbal ...

Proven programming, statistics, and data analysis skills (e.g., Python, SQL, R) * Strong analytical thinking and a demonstrated interest in solving complex problems * Excellent written and verbal ...

Engineering Intern

North Haven, CT

$16.75 - $21.75/hr

Review manufacturing equipment and processes for improvement potential using statistical data and ... Engineering Major Additional Information All your information will be kept confidential according ...

Industrial Engineer

North Haven, CT ยท On-site

$69K - $94K/yr

Bachelors in Industrial Engineering (Master's preferred). * 6+ years in manufacturing industrial engineering. * Proficient in lean tools, CAD, capacity modeling, and statistics. * Strong analytical ...

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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 Connecticut? For Statistical Engineering jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Statistical Engineering jobs in Connecticut look for? The top searched job categories for Statistical Engineering jobs in Connecticut are:
What cities in Connecticut are hiring for Statistical Engineering jobs? Cities in Connecticut with the most Statistical Engineering job openings:
Infographic showing various Statistical Engineering job openings in Connecticut as of June 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Senior Statistical Programmer - Remote

Senior Statistical Programmer - Remote

Penfield Search Partners

Fairfield, CT โ€ข On-site, Remote

Other

Posted 10 days ago


Job description

Job Description Contact: Neisha Camacho/Terra Parsons - teamnt@penfieldsearch.com No 3rd party candidates Senior Statistical Programmer to support programming activities within CNS in support of clinical trials and regulatory submissions. In this role, you will transform raw clinical data into analysis ready datasets, generate high-quality TLFs, and contribute to the continuous improvement of analysis workflows and programming processes. Key Responsibilities: Provide statistical programming support to generate SDTM and ADaM data sets, tables, listings, and figures for individual studies as well as ISS/ISE analyses

Provide programming support to internal teams including identifying, reporting, and resolving raw data issues Participate in the review of statistical analysis plans, table specification, develop specification for SDTM and ADaM data sets. Participate in study team meetings and address issues that may affect statistical programming. Support and participate in the preparation of clinical study reports, regulatory submissions, and annual DSUR and safety reports.

Perform ad hoc analyses and data validation. Develop and maintain necessary programming macros or tools to effectively support all programming needs Develop and contribute to internal teams SOPs and working documents related to EDC studies, FDA requests, independent validation, and general statistical programming processes. Qualifications Bachelor's or Master's degree in biostatistics, computer science, or related fields 8 years in statistical programming within the pharmaceutical, biotechnology, or CRO industry, including regulatory submissions within CNS is preferred.

Advanced SAS programming; CDISC standards expertise; knowledge of additional programming languages (R, Python) is a plus. Strong Macro and tool development and validation Experience in BLA, NDA/sNDA submissions. Proficiency in additional programming languages such as R or Python, along with experience using SAS/Graph and statistical packages, is preferred.

Strong communication skills and the ability to collaborate within cross-functional teams to manage priorities and meet deadlines are essential.