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Remote Applied Intelligence Jobs in Boonton, NJ (NOW HIRING)

Tremendous

Senior Data Analyst

New York, NY · Remote

$175K - $225K/yr

We're a fully remote, high-documentation, low-meeting culture, which means more time for what ... Consolidate diverse facts and findings into compelling narratives that can be applied across ...

Dlapiper

Data Scientist

Short Hills, NJ · On-site +1

Applies the principles of artificial intelligence, database systems, human/computer interaction ... Bachelor's degree in computer science, data science, statistics, applied mathematics or related ...

Dlapiper

Data Scientist

New York, NY · On-site +1

Applies the principles of artificial intelligence, database systems, human/computer interaction ... Bachelor's degree in computer science, data science, statistics, applied mathematics or related ...

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All JobsApplied Intelligence JobsRemote Applied Intelligence JobsRemote Applied Intelligence Jobs in Boonton, NJ

Remote Applied Intelligence information

See Boonton, NJ salary details

$47K

$108.1K

$148.7K

How much do remote applied intelligence jobs pay per year?

As of Aug 30, 2026, the average yearly pay for remote applied intelligence in Boonton, NJ is $108,088.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,100.00 and $122,400.00 per year, depending on experience, location, and employer.

What is a remote applied intelligence?

A Remote Applied Intelligence job involves leveraging artificial intelligence, machine learning, data analytics, and related technologies to solve business problems and drive decision-making, all while working from a remote location. Professionals in this field analyze large data sets, build predictive models, and develop intelligent solutions that can optimize processes, improve customer experiences, or uncover new business opportunities. The 'remote' aspect means the work is performed outside of a traditional office, offering flexibility and the ability to collaborate with global teams using digital tools.

What are the key skills and qualifications needed to thrive as a remote applied intelligence professional, and why are they important?

To excel as a Remote Applied Intelligence professional, you need a solid background in data analysis, machine learning, and statistical modeling, often supported by a degree in computer science, statistics, or a related field. Proficiency in technical tools such as Python, R, SQL, cloud computing platforms, and relevant AI or data science certifications is highly valued. Strong problem-solving abilities, effective communication, and self-motivation are crucial soft skills for remote collaboration and project delivery. These competencies enable professionals to extract actionable insights from data, drive innovation, and succeed in a distributed work environment.

What are some common challenges faced by professionals in remote applied intelligence roles, and how can they be addressed?

Remote Applied Intelligence professionals often encounter challenges such as ensuring effective collaboration across distributed teams, maintaining clear communication with stakeholders, and managing data security when working with sensitive information offsite. To address these issues, it's important to use secure, cloud-based collaboration tools, establish regular check-ins with colleagues, and follow best practices for data privacy. Staying proactive about communication and leveraging project management platforms can help remote team members stay aligned and productive.
Remote Applied Intelligence jobs near you
Infographic showing various Remote Applied Intelligence job openings in Boonton, NJ as of June 2026, with employment types broken down into 63% Full Time, 30% Part Time, and 7% Nights. Highlights an 42% Physical, 2% Hybrid, and 56% Remote job distribution, with an average salary of $108,088 per year, or $52 per hour.

Sr. Data Researcher || 100% REMOTE

GD Resources LLC

Manhattan, NY • On-site, Remote

$140K - $160K/yr

Full-time

Posted 17 days ago

Job description

Job Title - Sr. Data Researcher
Location - 100% REMOTE
Base Salary - $140,000 - $160,000
JOB #. 83483208
Industry: Education / Training / Libraries
Job Category: Information Technology - Business Intelligence
*** Client Screening Questions ***
1- Do you have Ph. D?
2- Do you have background in relational databases, big data systems, and data analytic systems?
3- Are you familiar with git and project management tools, such as JIRA ?
Ideal Candidate
PhD in Computer Science, or similar fields
Background in relational databases, big data systems, and data analytic systems
Expertise in data management, data cleaning, distributed systems, database storage engines, query processing and query optimization, and applied data science
Job Details:
We are interested in a variety of topics including big data management, self-service data cleaning and transformation at scale, data quality, search and discovery of structured data, information extraction, time-series and heterogenous data analytics, metadata management, applied AI, machine learning and data mining, data visualization, natural language processing and big data systems including systems' concerns such as: resource management, storage, caching, query processing, query optimization, security, and privacy.
Key Responsibilities:
Investigate heterogenous data management techniques and polystore systems, including the application of AI & machine learning techniques to foundational data management problems including data quality, data profiling, data integration and schema matching.
Develop tools and frameworks to enable scalable development of machine learning models and data science algorithms across data domains, including tabular, time series, text, audio and video.
Create distributed data processing architectures that leverage "compute at the edge" to enable novel use cases and applications such as predictive routing, data-driven experiences, and adaptive environments.
Work with GEIS researchers to understand data-related opportunities in peer researchers' domains such as applied AI and machine learning in Audio / Video domains.

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