1

Statistical Engineering Jobs in Connecticut (NOW HIRING)

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 ...

$95 - $120/hr

Lead manufacturing engineering discipline in assessment of discipline health, identification of ... Ability to use Minitab and other statistical software. * Good analytical and problem‑solving ...

New

Engineering Technician

Southington, CT · On-site

$26.41 - $35.49/hr

If Engineering Technician sounds like something you would be interested in, and you meet the ... using basic Minitab/statistics), and present findings to leadership * Maintain lab equipment ...

Engineering Statistics * Statics Tasks: * Deliver individual and group tutoring sessions in engineering subjects. * Explain engineering concepts, calculations, and technical problem-solving ...

Engineering Statistics * Statics Tasks: * Deliver individual and group tutoring sessions in engineering subjects. * Explain engineering concepts, calculations, and technical problem-solving ...

Engineering Statistics * Statics Tasks: * Deliver individual and group tutoring sessions in engineering subjects. * Explain engineering concepts, calculations, and technical problem-solving ...

Senior Quality Engineer

North Haven, CT · On-site

$88K - $119K/yr

... statistical process control, design of experiments, failure mode and effects analysis. Experience in a regulated environment. Qualifications Education: BS degree in Engineering, Math Physical Science ...

Showing results 21-40

Statistical Engineering information

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.

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 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 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.

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 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 August 2026, with employment types broken down into 87% Full Time, 5% Part Time, 2% Temporary, 5% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

    Execution Analyst

    BestEx Research

    Stamford, CT • On-site

    Full-time

    Re-posted 26 days ago


    Job description

    We are seeking a highly motivated, intellectually curious, and highly skilled data analyst to join our Stamford, CT team as an Execution Analyst. This role is designed as a foundational entry point into algorithmic trading analysis with a clear path toward becoming a subject matter expert in execution strategy and performance.
    In this role, you will contribute to monitoring, evaluating, and optimizing client performance and learn to produce meaningful insights and actionable recommendations that drive value for both individual clients and the firm at large. You will work closely with senior analysts and product specialists and grow with their support into a client-facing, high-impact contributor in electronic trading and execution consulting.
    Specifically, you will:
    • Gain deep knowledge of US equity market structure and electronic trading behavior
    • Learn to evaluate algorithm performance across clients and strategies
    • Build fluency in statistical methods and coding practices for performance analysis
    • Develop communication and presentation skills for internal and client-facing interactions
    • Take on increasing ownership of monitoring, analysis, and strategic recommendation processes
    • Grow into a role that directly influences client outcomes and firm-wide algorithmic execution strategy

    Responsibilities
    • Analyze client order data and market data to answer challenging, open-ended research questions
    • Assist in the collection and monitoring of algorithm performance data across individual clients and global portfolios
    • Help document client objectives and implement custom measurement processes toward each client's evolving goals
    • Support the evaluation of algorithmic behavior through statistical analysis and data visualization
    • Collaborate with senior analysts to generate insights for internal teams and client reporting
    • Contribute to building client presentations that communicate key findings and areas for improvement
    • Stay abreast of current events, changes in the liquidity landscape, and team research to participate in team discussions around market events, microstructure developments, and algorithm design

    Requirements
    • MS or PhD in a quantitative field such as Computer Science, Statistics, Engineering, Mathematics, or a related discipline
    • 2 years of experience in answering research questions supported by statistical evidence-going beyond reporting results to generating meaningful insights (this can be in a graduate program)
    • 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 communication skills
    • High attention to detail and a structured approach to tasks
    • Eagerness to learn about financial markets, electronic trading, and data-driven decision-making
    • Positive, collaborative attitude, a strong sense of ownership and curiosity, and consistent drive to go above and beyond to deliver on shared goals
    • Willing to work in Stamford, CT in person daily and, over time, travel to client meetings as needed