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Statistical Data Jobs in Delaware (NOW HIRING)

Sallie Mae

Manager, Statistical Modeling

Newark, DE · On-site

Analyze and interpret large and diverse data sets to identify patterns, trends, and correlations ... Proficiency in statistical programming languages such as R, Python, or SAS. * Knowledge of ...

AstraZeneca

Statistical Science Director

Wilmington, DE · On-site

The Director, Statistics has sufficient experience in the pharmaceutical industry to independently ... We are committed to making a difference by fusing data and technology with the latest scientific ...

AstraZeneca

Statistical Science Director

Wilmington, DE · On-site

The Director, Statistics has sufficient experience in the pharmaceutical industry to independently ... We are committed to making a difference by fusing data and technology with the latest scientific ...

Sallie_mae

Senior Manager, Statistical Modeling

Newark, DE

$85.10K - $104.60K/yr

Oversee the full model development and machine learning lifecycle: data collection, preprocessing ... Master's degree in Statistics, Mathematics, Data Science, Computer Science, Data Science, Machine ...

Sallie Mae

Senior Manager, Statistical Modeling

Newark, DE · On-site

$85.10K - $104.60K/yr

Oversee the full model development and machine learning lifecycle: data collection, preprocessing ... Master's degree in Statistics, Mathematics, Data Science, Computer Science, Data Science, Machine ...

Winaxis LLC

Data Analyst

Lewes, DE · On-site +1

Analyze large datasets using statistical methods and data visualization techniques. * Interpret data and present findings to key stakeholders in a clear and concise manner. * Develop and maintain ...

Qnity

Product Development Engineer

Newark, DE

Conduct engineering tests and perform statistical data reviews to prepare technology packages for commercialization. * Set up control plans and quality systems, such as SPC charts, for new ...

Continental Finance

Data Scientist

Wilmington, DE · Hybrid

Test new statistical tools and packages. The ideal candidate will have the following: * Master's Degree in Data Science, Statistics, Applied Mathematics, or related field required. * Expert knowledge ...

Dlapiper

Sr Data Analyst

Wilmington, DE · Hybrid

$89.99K - $143.09K/yr

Duties will include financial performance data analysis and presentation, interpreting data from analysis using statistical techniques, forecasting, developing and implementing data collection ...

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Statistical Data information

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

To thrive as a Statistical Data Analyst, you need strong quantitative skills, expertise in statistics, and a relevant degree such as mathematics, statistics, or data science. Proficiency with tools like R, Python, SQL, and statistical software (e.g., SPSS, SAS) as well as data visualization platforms is typically required. Critical thinking, attention to detail, and effective communication skills help analysts interpret data accurately and share insights with stakeholders. These competencies ensure reliable data analysis, support evidence-based decisions, and drive organizational success.

What are some common challenges faced by professionals working in statistical data roles, and how can they be addressed?

Professionals in statistical data roles often encounter challenges such as managing large, complex datasets, ensuring data quality, and effectively communicating statistical findings to non-technical stakeholders. Dealing with incomplete or inconsistent data is common, and requires strong analytical and problem-solving skills to clean and validate information. Collaborating closely with cross-functional teams, staying updated on the latest statistical software, and developing clear data visualization skills can help address these challenges and enhance the impact of your work.

What are statistical data analysts?

Statistical data analysts are professionals who collect, process, and interpret quantitative data to help organizations make informed decisions. They use statistical techniques and software tools to analyze datasets, identify trends, and solve problems. Their work is crucial in fields such as business, healthcare, government, and research, where data-driven insights are essential. Statistical data analysts often present their findings in reports or visualizations to guide strategic planning.

What is the difference between Statistical Data vs Data Analyst?

AspectStatistical DataData Analyst
Required CredentialsNone specific; often involves understanding data collectionBachelor's degree in statistics, data science, or related field
Work EnvironmentData collection, storage, and management environmentsAnalyzing data, creating reports, and visualizations
Industry UsageUsed across industries for data collection and storageApplied in business, finance, healthcare, and more for insights
Search & Comparison IntentUnderstanding raw data types and sourcesComparing roles focused on data analysis and interpretation

Statistical Data refers to raw or processed data used for analysis, while Data Analyst is a professional role that interprets and visualizes this data to support decision-making. Both are integral to data-driven industries but serve different functions within the data lifecycle.

What are popular job titles related to Statistical Data jobs in Delaware? For Statistical Data jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Statistical Data jobs in Delaware look for? The top searched job categories for Statistical Data jobs in Delaware are:
What cities in Delaware are hiring for Statistical Data jobs? Cities in Delaware with the most Statistical Data job openings:
Statistical Data jobs near you
Manager, Statistical Modeling

Manager, Statistical Modeling

Sallie Mae

Newark, DE • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago

Sallie Mae rating

6.8

Company rating: 6.8 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

Job description

When you join Sallie Mae, you become a champion for all students.
We're on a mission to power confidence as students begin their unique journey. To help them plan their higher education, successfully finish, and prepare for life after school. To help them Start smart. Learn big.
Students need guidance navigating this important time in their life. They need someone who acknowledges that their education path is unique. They need a partner willing to evolve and not only meet but surpass their expectations. We're changing. Because students need a better way.
We're looking for people who are excited to drive this transformation. To break barriers and think of new ways to adapt, help, and create better experiences for students-and for each other.
This is where diverse backgrounds, beliefs, and perspectives matter. It's where you're empowered to bring your authentic self to work.
Feeling your best allows you to do your best. Our benefits take care of the whole you-from physical and mental to financial and professional. You'll get opportunities to further your education and career, support for you and your family (including your pets!), paid time off to volunteer for the things that matter to you, and more.
We're obsessed with impact and making a real difference. For us, that means putting relationships first, asking "why not?" when tackling challenges, and continuously learning new skills.
Come do more than join something, change something. For students, for future generations, for the future of education.
What You'll Contribute
The Manager, Statistical Modeling will be responsible for leading a team of statistical analysts and driving the development and implementation of statistical models and methodologies.
What You'll Do
  • Contribute to the development and execution of the statistical modeling strategy, aligning it with the organization's goals and objectives.
  • Foster a collaborative and innovative work environment that encourages knowledge sharing, professional growth, and continuous improvement.
  • Design and develop statistical models, algorithms, and methodologies to analyze complex data sets and solve business problems.
  • Analyze and interpret large and diverse data sets to identify patterns, trends, and correlations.
  • Develop and implement evaluation and validation procedures to ensure the accuracy, reliability, and scalability of statistical models.
  • Generate regular reports and presentations to communicate results, insights, and recommendations to senior leadership and relevant stakeholders.

The above information is intended to describe the general nature and level of work performed by employees assigned to this job; it is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees in this role.
What you have
Minimum: Indicate minimum education, skills and experience required.
  • Master's degree in Statistics, Mathematics, Data Science, Computer Science, Machine Learning, or a related quantitative field.
  • 3+ years of experience in statistical modeling, including experience with developing and implementing statistical models.
  • Proficiency in statistical programming languages such as R, Python, or SAS.
  • Knowledge of statistical modeling techniques, such as regression analysis, time series analysis, predictive modeling, and machine learning algorithms.
  • Familiarity with data visualization tools and techniques to effectively communicate data insights.
  • Excellent analytical and problem-solving abilities, with a keen attention to detail.
  • Effective communication and interpersonal skills, with the ability to collaborate with stakeholders at various levels of the organization.

Preferred: Indicate "nice to haves" regarding education, skills, and experience.
  • Doctorate's degree in Statistics, Mathematics, Data Science, Computer Science, Machine Learning, or a related quantitative field.
  • 5+ years of experience in statistical modeling, including experience with developing and implementing statistical models.
  • 3+ years of experience in machine learning, including hands-on experience developing and deploying ML models in production environments.
  • Proficiency in statistical programming languages such as Python, R, or Java, and familiarity with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Strong understanding of supervised and unsupervised machine learning.
  • Experience with cloud-based ML platforms (e.g., AWS, Azure, Google Cloud).

The Americans with Disabilities Act
The Americans with Disabilities Act of 1990 (ADA) prohibits discrimination by employers, in compensation and employment opportunities, against qualified individuals with disabilities who, with or without reasonable accommodation, can perform the "essential functions" of a job. A function may be essential for any of several reasons, including: the job exists to perform that function, the employee holding the job was hired for his/her expertise in performing the function, or only a limited number of employees are available to perform that function.
Feeling your best helps you do your best:
Our benefits take care of the whole you-so you can build your work around your life (not the other way around!).
  • Competitive base salaries
  • Bonus incentives
  • Generous PTO, Floating Holidays and 12 Federal Holidays observed
  • Support for financial-well-being and retirement 401k with employer match
  • Comprehensive medical, dental, vision, hospital indemnity, critical illness, pet insurance and more
  • Employer paid short-term/long-term disability and basic life insurance
  • Flexible hybrid working arrangements.
  • Paid parental leave and adoption reimbursement programs
  • Free access to on-site staffed fitness centers (in Delaware) and gym subsidy (for locations outside Delaware)
  • Confidential counseling support (EAP), Health Advocacy services and Wellness program with financial incentives
  • Tuition Reimbursement and Family Scholarship Programs
  • Career development and training opportunities

Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!
Sallie Mae is proud to be an equal opportunity (EEO) employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, national origin, age, genetic information, gender identity, disability, Veteran status or any other characteristic protected by federal, state or local law. Click here to view the U.S. Pay Transparency Policy, here for federal job applicant notices, and here to view the California Employee Privacy Notice.
Reasonable accommodations are available for applicants with disabilities in all phases of the application and employment process. To request an accommodation please call (855) 756-2007 and choose option 9. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

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