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Remote Math Test Jobs in Delaware (NOW HIRING)

Uses modelling to drive business results with data-based insights and tests the effectiveness of ... Bachelor's degree in computer science, data science, statistics, applied mathematics or related ...

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Remote Math Test information

What is a remote math test?

A remote math test is an assessment of mathematical knowledge or skills that is administered and taken online, allowing participants to complete the test from any location with internet access. These tests are commonly used by schools, employers, and certification bodies to evaluate math proficiency without requiring in-person attendance. Remote math tests typically feature time limits, automated grading, and may use proctoring software to ensure academic integrity. Participants may need a computer, stable internet connection, and sometimes a webcam or microphone depending on the test's security requirements.

What are some common challenges faced by professionals working in remote math test development roles?

Professionals in remote math test development often face challenges such as ensuring clear communication with team members across different time zones, maintaining test security, and adapting assessment content to suit various digital platforms. Collaboration typically occurs through virtual meetings and shared project management tools, requiring strong self-motivation and organizational skills. Additionally, keeping up with evolving educational standards and integrating feedback from educators can be demanding but also presents valuable opportunities for professional growth.

What are the key skills and qualifications needed to thrive as a remote math test developer, and why are they important?

To excel as a Remote Math Test Developer, you need a strong background in mathematics, experience in educational assessment, and typically a relevant degree such as mathematics, education, or a related field. Familiarity with online assessment platforms, item-writing standards (like Bloom's Taxonomy), and possibly certifications in instructional design are advantageous. Attention to detail, clear written communication, and time management are valuable soft skills for collaborating remotely and producing high-quality test materials. These skills ensure the creation of valid, reliable, and accessible assessments that meet educational standards and support diverse learners.

What is the difference between Remote Math Test vs Remote Data Analyst?

AspectRemote Math TestRemote Data Analyst
Required CredentialsMath proficiency, possibly some certifications in math or related fieldsDegree in statistics, mathematics, or related field; certifications like CAP or Microsoft Certified Data Analyst
Work EnvironmentOnline assessments, remote testing platformsRemote work with data analysis tools and software
Employer & Industry UsageUsed by employers to assess quantitative skills for various rolesUsed by companies to interpret data, generate reports, and support decision-making

The Remote Math Test primarily evaluates quantitative and mathematical skills through online assessments, often used in hiring processes. In contrast, a Remote Data Analyst role involves applying those skills in analyzing data, creating reports, and supporting business decisions remotely. While both require strong math skills, the test is a screening tool, whereas the analyst role is a full-time position involving ongoing data work.

What are popular job titles related to Remote Math Test jobs in Delaware?

For Remote Math Test jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Remote Math Test jobs in Delaware look for?

The top searched job categories for Remote Math Test jobs in Delaware are:

What cities in Delaware are hiring for Remote Math Test jobs?

Cities in Delaware with the most Remote Math Test job openings:

Data Scientist

Dlapiper

Wilmington, DE • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement

Posted 2 days ago

New


Job description

DLA Piper is, at its core, bold, exceptional, collaborative and supportive. Our people are the backbone, heart and soul of our firm. Wherever you are in your professional journey, DLA Piper is a place you can engage in meaningful work and grow your career. Let's see what we can achieve. Together.

Summary
Position is responsible for data collection, data exploration and using large data sets to find opportunities for improving business outcomes. Designs data modeling processes to create algorithms and predictive models. Performs custom analysis. Uses modelling to drive business results with data-based insights and tests the effectiveness of different courses of action.

Location

This position can sit in any of our US offices.


Responsibilities

  • Works with internal stakeholders and clients to identify opportunities for leveraging organizational data to drive business solutions.
  • Prioritizes, scopes and manages data science projects for internal stakeholders and clients.
  • Mines and analyzes data to drive optimization and improvement of product development, marketing techniques and business strategies.
  • Assesses the effectiveness and accuracy of new data sources and data gathering techniques.
  • Applies the principles of artificial intelligence, database systems, human/computer interaction, numerical analysis, and software engineering. Identifies patterns and looks for opportunities for optimization.
  • Develops custom data models and algorithms to apply to data sets.
  • Uses predictive modeling to increase and optimize client opportunities and business outcomes.
  • Writes computer programs and analyzes large datasets to uncover answers to complex problems.
  • Develops testing frameworks and tests model quality.
  • Coordinates with different functional teams to identify and implement models and monitor outcomes.
  • Develops processes and tools to monitor and analyze modeling performance and data accuracy.
  • Establishes best practices for data analysis and reporting.
  • Other duties as assigned.


Skills and Competencies

  • A specialization in machine-learning, artificial intelligence, cognitive science or data science is preferred. Must be self-driven, curious and creative.
  • Experience must include creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, data mining techniques, etc.
  • Experience with most or all of the following basic data science tools: Python, R, SQL, SAS, NLTK, Scikit-Learn, Excel, Tableau, Power BI, and Jupyter; Basic data science concepts: probability, statistics, hypothesis testing, machine learning, natural language processing, predictive modeling, data visualization; and Big data tools: Hadoop, Azure, etc.
  • Experience in a professional services or law firm is preferred. Must be adept in agile methodologies and well-versed in machine learning, artificial intelligence and constructing data science pipelines.
  • Demonstrated presentation skills along with strong business acumen. Ability to communicate actionable insights using data, often for a non-technical audience.


Education

  • Bachelor's degree in computer science, data science, statistics, applied mathematics or related field


Years of Experience

  • 5 years of relevant experience in applying data science techniques to business functions.


Essential Job Expectations

All DLA Piper employees are expected to demonstrate excellence in how we serve our clients and develop our people, upholding our firm values as part of our culture. Specific expectations include:

  • Communicate effectively, both verbally and in writing, with clients, lawyers, business professionals, and external audiences.
  • Produce high-quality work and respond to correspondence in an efficient, timely, and professional manner.
  • Meet deadlines, manage competing priorities, and commit to meeting high standards.
  • Comply with firm policies and procedures.
  • Maintain confidences as required in a law firm environment.


Physical Demands
Sedentary work: This is primarily sedentary work, requiring occasional exertion of up to 10 pounds of force to lift, carry, push, pull, or move objects. The role involves sitting for extended periods, with occasional walking and standing, and occasional travel, both domestic and international.
Work Environment

The firm's work location requirements may be modified at the firm's discretion. Opportunity for a hybrid work arrangement combining remote and in-office work. The specific arrangement will be determined at the time of hiring and may be modified at the firm's discretion.

Compensation & Benefits

The firm's expected hiring range for this position is $112,879 - $179,481 depending on the candidate's geographic location, experience, skills, educational background, and overall qualifications.

DLA Piper offers a comprehensive benefits package, including medical, dental, and vision insurance, 401(k) retirement plan, and additional benefits.

Application Process

Interested candidates must apply directly online. Application materials sent via email will not be accepted. Reasonable accommodations may be made upon request to enable individuals with disabilities to perform the essential functions of this position or participate in the selection process. For accommodation requests, please contact careers@us.dlapiper.com.

Agency applications will not be considered.

No immigration sponsorship is available for this position.

Disclaimer

This job description provides a concise overview of the role and is not intended to describe all work elements that may be performed. It should not serve as the sole criteria for personnel decisions. Job duties, requirements, and expectations may be modified at the firm's discretion at any time. This job description does not alter the at-will nature of employment.

We are committed to excellence in how we serve our clients and develop our people.

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DLA Piper is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.Job applicant poster viewing center.