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Hourly Data Scientist Jobs in Basking Ridge, NJ (NOW HIRING)

The Data Scientist will design and implement data science and applied machine learning solutions supporting new product development, search and discovery on platform, content enrichment and metadata ...

The Data Scientist will design and implement data science and applied machine learning solutions supporting new product development, search and discovery on platform, content enrichment and metadata ...

I have an opportunity for " Data Scientist " and looking for a candidate who can join Immediately if you are interested reply me with your updated resume or consultant's contact details and if you ...

Data Scientist

New York, NY ยท Remote

$70 - $100/hr

Data Science Experts Type: Contract Compensation: $70-$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams on data science methodology ...

The Data Scientist will design and implement data science and applied machine learning solutions supporting new product development, search and discovery on platform, content enrichment and metadata ...

Bedrock Robotics is hiring a Data Scientistto lead high-impact data science work across autonomy, safety, and product. In this role, you will operate as a senior technical individual contributor ...

Title: Data Scientist Location: Remote Duration 4-6 months The RBQM Data Scientist supports central monitoring and risk-based quality management (RBQM) for clinical trials. This role focuses on ...

We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable ...

As a fullstack data scientist, you will turn complex operational signals into insight-and translate that insight into lightweight products, prototypes, and tools that reshape service delivery at ...

Data Scientist

New York, NY ยท On-site

$60 - $62/hr

Data Scientist Duration: 6+ months contract Location: NYC- Hybrid About the Team Joining as a Data Scientist t o support risk research and analysis, you will help shape the strategic decisions of the ...

We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable ...

Role Data Scientists bridge the gap between raw data and predictive modelling. We believe everything starts with data. You will work closely with our quantitative research team, applying advanced ...

Senior Data Scientist Job Summary The Senior Data Scientist plays a crucial role in transforming unstructured big data into actionable insights through advanced algorithms and innovative data models.

As a full-stack data scientist, you will turn complex operational signals into insight-and translate that insight into lightweight products, prototypes, and tools that reshape service delivery at ...

Role Data Scientists bridge the gap between raw data and predictive modelling. We believe everything starts with data. You will work closely with our quantitative research team, applying advanced ...

Title: Data Scientist Location: Newark, NJ Duration: 12+ Months Contract Description: Are you interested in building capabilities that enable the organization with innovation, speed, agility ...

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Showing results 1-20

Hourly Data Scientist information

See Basking Ridge, NJ salary details

$38.6K

$126.5K

$202.5K

How much do hourly data scientist jobs pay per year?

As of Jun 17, 2026, the average yearly pay for hourly data scientist in Basking Ridge, NJ is $126,489.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $140,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Hourly Data Scientist, and why are they important?

To thrive as an Hourly Data Scientist, you need strong analytical skills, proficiency in statistics, and experience with data modeling, usually supported by a degree in a STEM field. Familiarity with programming languages like Python or R, data visualization tools, and cloud-based platforms is typically required. Excellent problem-solving, time management, and communication skills help hourly data scientists deliver impactful insights efficiently. These abilities are essential for providing high-quality, actionable solutions within time constraints in a flexible or contract-based work environment.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to optimize model performance and efficiency.

How does the structure of hourly work impact collaboration and project involvement for data scientists?

As an hourly data scientist, you may be assigned to specific projects or tasks based on immediate business needs, which can mean working with different teams on a rotating basis. This structure offers flexibility and exposure to a variety of datasets and problems, but it can also present challenges in building long-term relationships or seeing projects through from start to finish. To succeed, it's important to communicate proactively, quickly adapt to new team dynamics, and document your work thoroughly for smooth handoffs. Many organizations use collaborative tools and regular check-ins to ensure hourly team members remain integrated and informed.

Which is better, DS or CS?

For an hourly data scientist role, both data science (DS) and computer science (CS) skills are valuable, but DS focuses on data analysis, modeling, and visualization, while CS emphasizes programming, algorithms, and software development. The choice depends on the specific job requirements and the company's focus; many roles benefit from a combination of both skill sets. Having proficiency in tools like Python, R, and SQL is common in data science positions, while CS roles may require knowledge of systems and software engineering.

What are hourly data scientists?

Hourly data scientists are professionals who analyze and interpret complex data to help organizations make data-driven decisions, but they are paid on an hourly basis rather than receiving a fixed salary. Their tasks can include building predictive models, managing and cleaning data, and communicating findings to stakeholders. Hiring data scientists on an hourly basis allows businesses to access specialized expertise for specific projects or short-term needs without committing to a full-time hire.

What is the difference between Hourly Data Scientist vs Data Analyst?

AspectHourly Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's degree in Data Analysis, Statistics, or related field
Work EnvironmentProject-based, consulting, or freelance settings; tech companies, finance, healthcareCorporate offices, research firms, marketing agencies
Employer & Industry UsageTech firms, startups, consulting agenciesBusiness, marketing, finance, healthcare
Common Search & ComparisonHourly Data Scientist vs Data Analyst

Hourly Data Scientists and Data Analysts often share similar educational backgrounds and work environments. However, Data Scientists typically handle more complex modeling, machine learning, and predictive analytics, while Data Analysts focus on data visualization, reporting, and descriptive analysis. The hourly rate for Data Scientists is generally higher due to the advanced skills required. Both roles are vital in data-driven industries, but their scope and responsibilities differ significantly.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not replace the need for skilled professionals to interpret complex data, develop models, and make strategic decisions. Data scientists with expertise in machine learning, programming, and domain knowledge remain essential for designing and deploying AI solutions effectively.

Is 40 too late for data science?

Data science is a field open to professionals of all ages, and many successful data scientists start or transition into the role later in their careers. Skills in programming, statistics, and machine learning are more important than age, and continuous learning through online courses or certifications can help late entrants stay competitive.
What are the most commonly searched types of Data Scientist jobs in Basking Ridge, NJ? The most popular types of Data Scientist jobs in Basking Ridge, NJ are:
What are popular job titles related to Hourly Data Scientist jobs in Basking Ridge, NJ? For Hourly Data Scientist jobs in Basking Ridge, NJ, the most frequently searched job titles are:
What job categories do people searching Hourly Data Scientist jobs in Basking Ridge, NJ look for? The top searched job categories for Hourly Data Scientist jobs in Basking Ridge, NJ are:
What cities near Basking Ridge, NJ are hiring for Hourly Data Scientist jobs? Cities near Basking Ridge, NJ with the most Hourly Data Scientist job openings:
Infographic showing various Hourly Data Scientist job openings in Basking Ridge, NJ as of June 2026, with employment types broken down into 3% As Needed, 49% Full Time, and 48% Part Time. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $126,489 per year, or $60.8 per hour.
Data Scientist

Data Scientist

Associated Press

Manhattan, NY โ€ข Hybrid

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Job description

The Associated Press is an independent global news organization dedicated to factual reporting. Founded in 1846, AP today remains the most trusted source of fast, accurate, unbiasedย news in all formats and the essential provider of the technology and services vital to the news business. More than half the world's population sees AP journalism every day.

The Associated Press' Metadata and Data Science Team seeks a Data Scientist based in New York, NY.ย ย ย 

Why this role matters:ย ย 

The Data Scientist will designย and implementย data scienceย and applied machine learningย solutionsย supportingย new product development,ย search and discoveryย on platform, contentย enrichmentย and metadata generation.ย As a member of cross-functional project teams, theย Dataย Scientist will perform data analysis, evaluate commercial and open-source models, andย deliverย solutionsย with real-world impact.ย 

The team works closely with various departments and functions across the organization to design, implement and manage end-to-endย contentย metadata, toย maintainย the integrity of schema standards, and to build solutions with data,ย analyticsย and machine learning methods.ย ย 

What you will do:ย ย 

  • Evaluate, fine-tune, andย maintainย statistical and machine learning modelsย usedย inย run-timeย production environments, measuring and communicating performance improvements to stakeholdersย 

  • Partnerย with cross-functional teams to design andย optimizeย AI/ML solutions that deliverย new product capabilities and internal workflow improvements, using news articles, photos, videos, election results, and other news dataย 

  • Research, evaluate, and recommend models and methodologies across the AI/MLย landscape, presentingย recommended solutionsย to technical and non-technical stakeholdersย 

  • Identifyย and address gaps inย modelย quality and performance metrics, synthesizing findings into clear, actionable recommendationsย 

  • Contribute to the design and enhancement of data and ML pipelines,ย including multimodal embedding generationย and knowledge extraction,ย with a focus on accuracy, efficiency, and scalabilityย 

  • Design user-centered solutions and search algorithms focused on quality and performanceย 

  • Stay current with emerging technologies and advances in NLP, machine learning, and data science, proactively surfacing opportunities for improvementย 

  • Support the full model development lifecycle, from problem definition and prototyping throughย integration,ย deployment, monitoring, and iterationย 

  • Communicate analysis and present findings clearly, adapting to a range of technical and business audiencesย 

Who you are:ย 

  • 3+ years of relevant data science experience, with strongย proficiencyย in Python including NumPy, Pandas, and large-scale semi-structured JSON dataย 

  • Bachelor's degree in Data Science or Computer Scienceย ย 

  • Experienced applying core machine learning methods including classification, clustering, regression, and rankingย 

  • Hands-on experience with NLP techniques such as entity recognition, disambiguation, semantic similarity, and embedding-based retrievalย 

  • Experience with transformer models for structured extraction, classification, summarization, and generationย 

  • Experience with hybrid search algorithms, retrieval pipelines,ย intent detection,ย queryย expansion,ย andย relevance tuning in Elasticsearch or OpenSearchย 

  • Experience working with both language and multimodal modelsย 

  • Experienceย and comfortย working withย real-worldย data, includingย text and visuals, at scaleย ย 

  • Familiar with ML engineering and MLย Ops practices, withย a track recordย of delivering runtime solutionsย 

  • Familiarity with cohort analysis, session segmentation, A/B testing, and confidence calibrationย 

  • Analytical and curious, with strong problem-solving skills and a practical focus on high-impact, cost-aware solutionsย 

  • Able toย effectivelyย manageย multipleย projectย deliverablesย simultaneouslyย ย 

  • Comfortableย beingย accountable for deliverables across the full product development lifecycle,ย from problem definition through launch and iterationย 

  • An effective communicator who can tailor analysis and presentations to both technical and non-technical audiencesย 

  • Collaborative and empathetic, with a genuine focus on user impact and a desire to grow data literacy across the organizationย 

  • Advanced-level professional competency in written and spoken Englishย 

  • Authorization to work in the United States for any employerย 

What will set you apart:ย 

  • Experience in news media or working with news as dataย strongly preferredย 

  • Master's degree in Data Scienceย or a related fieldย 

  • Familiarity with graph data models and designing entity-relationship schemasย 

  • Eagerness to learn the technical nuances of large-scale media operations andย identifyย opportunities within evolving systemsย 

Location:

This role is based in New York City with a hybrid work schedule. AP employees are onsite three days a week, Tuesday, Wednesday and Thursday. Local candidates are preferred, but all qualified applicants are encouraged to apply.ย 

Why join us:ย ย 

  • A mission-driven, inclusive environment focused on both individual and collective success.ย ย 

  • Opportunities for professional development to help you reach your career goals.ย ย 

  • Access to tools, mentorship, and resources tailored to elevate yourย proficiencyย and contributions.ย ย 

Salary & Benefits:ย ย ย 

The anticipated salary range for this position is $116,000 - $160,000, based on a candidate's skills, qualifications, and location. The Associated Press offers comprehensive benefits, which include:ย ย ย 

  • Competitive medical, dental and vision coverageย ย ย 

  • Retirement benefitsย ย ย 

  • Company paid life insuranceย ย ย 

  • Paid vacation and sick daysย ย ย 

  • Paid parental leave for any new parentย ย ย 

  • Mental well-being resourcesย ย ย 

Deadline for applications is 11:59pm ET on June 22, 2026.

AP seeks to build an inclusive organization grounded in respect for differences. We support all aspects of diversity and provide equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, marital status, national origin, age, sexual orientation, gender identity, disability, status as a veteran, or other characteristic protected by law.