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Remote Ai Data Scientist Jobs in Delaware (NOW HIRING)

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Senior AI Engineer

Wilmington, DE · On-site +1

$101K - $139K/yr

This is a remote role and will report directly to the Head of Data Science & AI. The role willidentify,solution, build, and launch GenAI products & traditional apps in all areas of the company ...

AI Adoption Specialist

Wilmington, DE · On-site +1

$35 - $45/hr

... data science, analytics, automation, or AI. Eligibility Requirements The preferred work location for this role is at the GEH Headquarters in Wilmington, NC; but highly qualified (US based) remote ...

We are on a mission to build the best delegation platform in the world, leveraging Human+AI to provide superior experiences for delegating complex tasks. Role Overview The Data Science Intern will ...

You'll experiment with model parameters and training data to improve performance. * Build and ... Currently pursuing (or recently completed) a degree in Computer Science, Stats, or related field ...

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Remote Ai Data Scientist information

What is a remote AI data scientist?

A Remote AI Data Scientist is a professional who develops and applies artificial intelligence and machine learning models to analyze data and solve business problems, all while working from a location outside a traditional office environment. They use programming languages, statistical methods, and data engineering tools to extract insights and build predictive models. Remote AI Data Scientists often collaborate with cross-functional teams using online communication and project management tools. This role offers flexibility in work location and hours while requiring strong self-motivation and communication skills to succeed in a virtual setting.

What are the key skills and qualifications needed to thrive as a remote AI data scientist?

To thrive as a Remote AI Data Scientist, you need a strong background in statistics, machine learning, data analysis, and programming (typically Python or R), often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools such as TensorFlow, PyTorch, SQL, cloud platforms (e.g., AWS, Azure), and relevant certifications like AWS Certified Machine Learning or Google Professional Data Engineer is highly valuable. Excellent problem-solving, communication, and self-management skills distinguish top performers, especially in remote work environments. These competencies ensure effective model development, collaborative teamwork, and the ability to deliver impactful AI solutions from any location.

What are some common challenges faced by remote AI data scientists, and how can they be overcome?

Remote AI Data Scientists often encounter challenges such as collaborating effectively with cross-functional teams across different time zones and maintaining consistent communication to align on project goals. Additionally, access to large datasets and high-performance computing resources can sometimes be limited outside a traditional office setting. These challenges can be managed by leveraging robust collaboration tools, ensuring clear documentation, and proactively scheduling regular check-ins. Building a disciplined work routine and staying connected with the broader data science community can also support professional growth and project success.

What is the difference between Remote Ai Data Scientist vs Remote Machine Learning Engineer?

AspectRemote Ai Data ScientistRemote Machine Learning Engineer
Required CredentialsDegree in Data Science, AI, or related fields; proficiency in Python, R, SQLDegree in Computer Science, AI, or related; strong programming skills in Python, Java, or C++
Work EnvironmentData analysis, model development, research in cloud or remote settingsModel deployment, system optimization, software engineering in remote teams
Employer & Industry UsageTech companies, startups, research institutionsTech firms, AI product companies, software development firms

While both roles involve AI and data, Remote Ai Data Scientists focus on analyzing data and developing AI models, whereas Remote Machine Learning Engineers primarily implement, optimize, and deploy these models in production environments. The roles often overlap but differ in their core responsibilities and skill emphasis.

What are the most commonly searched types of Ai Data Scientist jobs in Delaware?

The most popular types of Ai Data Scientist jobs in Delaware are:

What are popular job titles related to Remote Ai Data Scientist jobs in Delaware?

For Remote Ai Data Scientist jobs in Delaware, the most frequently searched job titles are:

What cities in Delaware are hiring for Remote Ai Data Scientist jobs?

Cities in Delaware with the most Remote Ai Data Scientist job openings:

Infographic showing various Remote Ai Data Scientist job openings in Delaware as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Scientist

Wilmington, DE • On-site, Remote


Dlapiper
Legal Services • 5 - 10K employees

8.4

Company rating: 8.4 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

13th of 34 rated law firms

People enjoy working here

Good employer

Respectful managers


Full-time

Medical, Dental, Vision, Retirement

Posted 12 days ago


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.

#LI-GB1
#LI-Hybrid

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.


DLA Piper logo

About DLA Piper

Sourced by ZipRecruiter

DLA Piper is one of the largest business law firms in the world and one of the most recognized law firm brands globally. Since our firms founding, we have established ourselves as an innovative and entrepreneurial firm that is deeply committed to our global core values of people, clients and community. In fact, it is the individual members of the DLA Piper teamthe combination of talented lawyers and business professionals working togetherthat define our success and drive our growth.

Industry

Legal services

Company size

5,001 - 10,000 Employees

Headquarters location

City of London, Greater London, GB


What DLA Piper employees say

Pay

Benefits

Hours and flexibility

Workplace

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