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Statistical Engineering Jobs in Frankfort, IL (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 ...

Senior Model Developer 1

Chicago, IL · On-site

$120 - $145/hr

Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative discipline. Preferred: Master's degree in Computer Science, Data Science, Statistics, Applied ...

Senior Model Developer 1

Chicago, IL · On-site

$120 - $145/hr

Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative discipline. Preferred: Master's degree in Computer Science, Data Science, Statistics, Applied ...

New

Provide statistical consultancy support to sponsors across the full span of clinical development, including oversight of third-party statistical and programming deliverables. * Maintain current ...

Statistician

Chicago, IL · On-site

$75 - $85/hr

... statistical experience is preferred. * Proficiency with SAS is required. Python, R, or other transferable programming skill set for data manipulation and analysis is preferred. * Experience with ...

New

Senior Biostatistician

Chicago, IL · On-site

$90 - $100/hr

Experience implementing reproducible research practices and statistical programming standards. * Knowledge of healthcare coding systems and terminologies, including ICD -9/ ICD -10, CPT / HCPCS ...

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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 Frankfort, IL?

For Statistical Engineering jobs in Frankfort, IL, the most frequently searched job titles are:

What cities near Frankfort, IL are hiring for Statistical Engineering jobs?

Cities near Frankfort, IL with the most Statistical Engineering job openings:

Senior Director Data Science

Chicago, IL • On-site

Health Care Service Corporation
Outpatient Health Care • 10K+ employees

$161K - $299K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 21 days ago


Job description

At HCSC, our employees are the cornerstone of our business and the foundation to our success. We empower employees with curated development plans that foster growth and promote rewarding, fulfilling careers.
Join HCSC and be part of a purpose-driven company that will invest in your professional development.
Job Summary
This position is responsible for planning, managing and controlling the activities of the department that provides advanced mathematical and statistical concepts and theories to analyze and collect data and construct solutions to business problems. Constructs predictive models, algorithms and probability engines to support data analysis or product functions; verifies model and algorithm effectiveness based on real-world results. Lead initiatives to analyze complex business problems and issues using data from internal and external sources; bringing expertise or identifying subject matter experts in support of multi-functional efforts to identify, interpret and produce recommendations and plans based on company and external data analysis;. Advise business by providing data-based strategic direction to identify and address business issues and opportunities. Plan, manage and lead team of analysts that provides advanced mathematical and statistical concepts and theories to analyze and collect data and construct solutions to business problems.
Required Job Qualifications:
* Bachelor's degree and 7 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR 2 or more advanced degrees and 6 years of work experience in a in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR Ph.D. and 4 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR 11 years of work experience in an advanced mathematical, statistical , engineering, physics or related quantitative field. Leadership and/or management experience.
* 4 years of management experience.
* Learning and growth mindset.
* Customer-focused.
* Interpersonal, verbal and written communication skills.
* Experience in at least five of the following six areas: 1) data analysis and relational-style query languages; 2) machine learning and/or statistical modeling; 3) data visualization; 4) a high-level programming language; 5) distributed computing. 6) understanding of healthcare.
* Microsoft applications including Access, Excel, Word and Power Point.
* A track record of independently delivering or leading the delivery of a complex analytics or data science project.
* Mentoring, managing, or leading junior analytics or data science staff.
*Overseeing the annual budget and allocating resources for various projects and operational needs.
*Translating needs and initiatives into compelling business cases.
*Conducting cost-benefit analyses to justify investments and ensure ROI.
Preferred Job Qualifications:
* Masters or Ph.D. in a quantitative field, or Bachelor's degree with healthcare experience.
* Actuarial Credentials
Are you being referred to one of our roles? If so, ask your connection at HCSC about our Employee Referral process!
Pay Transparency Statement:
At Health Care Service Corporation, you will be part of an organization committed to offering meaningful benefits to our employees to support their life outside of work. From health and wellness benefits, 401(k) savings plan, pension plan, paid time off, paid parental leave, disability insurance, supplemental life insurance, employee assistance program, paid holidays, tuition reimbursement, plus other incentives, we offer a robust total rewards package for employees. Learn more about our benefit offerings by visiting https://careers.hcsc.com/totalrewards.
The compensation offered will vary depending on your job-related skills, education, knowledge, and experience. This role aligns with an annual incentive bonus plan subject to the terms and the conditions of the plan.
HCSC Employment Statement:
We are an Equal Opportunity Employment employer dedicated to providing a welcoming environment where the unique differences of our employees are respected and valued. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristics.
Base Pay Range
$161,500.00 - $299,700.00
Exact compensation may vary based on skills, experience, and location.