Basking Ridge, NJ

Data Jobs in Basking Ridge, NJ

8 jobs found

Include remote jobs

19d ago

AI Engineer

Infosys Basking Ridge, NJ

Basking Ridge, NJ

19d ago

$62k - $95k/yr Full time Ai Engineer Artificial Intelligence Engineer

Apply Now

Job Description

Infosys is hiring an AI Engineer in Basking Ridge, NJ (onsite) to support a Technology Consultant role across the SDLC, from requirements gathering through development, testing, and live system support.

Responsibilities

Conduct targeted interviews and facilitate workshops to capture user needs; ensure stakeholder requirements are accurately documented
Join design discussions to capture software specifications and help create process documentation
Develop, refine, and document code for new software applications according to detailed design specifications and user requirements
Execute test plans, analyze outcomes, and report defects to the development team to support improvements in software performance
Assist with integration of new software features to support smooth transitions within existing system infrastructure
Monitor and troubleshoot live applications, resolve issues promptly, and document details for ongoing system maintenance
Document coding practices, testing methods, and technical solutions to enhance the team’s knowledge repository

Requirements

Agile mindset with effective communication and problem-solving skills
Ability to work across a majority of areas across the SDLC lifecycle
Passion for innovating solutions that drive progress and address future challenges
Proactive approach to monitoring and resolving production issues before they escalate
Commitment to continuous learning, knowledge sharing, and supporting team development

Location & Compensation

Location: Basking Ridge, NJ (onsite)
Salary: USD 62,086 - 94,682 per year

View full job page →

1mo ago

Senior Agentic AI Engineer

Verizon Basking Ridge, NJ

Basking Ridge, NJ

1mo ago Closed

$101k - $194k/yr Full time Senior Agentic Ai AI

This position is no longer accepting applications (closed Oct 26, 2026).

Job Description

Senior Agentic AI Engineer role focused on building autonomous, enterprise-grade AI agents.

Responsibilities

Design and deploy scalable multi-agent AI systems, including agent workflows, A2A communication protocols, and task delegation hierarchies for cooperative agent fleets
Integrate LLMs with enterprise systems using APIs, function calling, and the Model Context Protocol (MCP) to enable reasoning, planning, tool use, and autonomous action
Build and operate enterprise Agent Factory pipelines to evolve from reactive, episodic analytics to continuously executing intelligent workflows
Develop retrieval-augmented generation (RAG) systems using ONNX-based embeddings and vector databases for context-aware, hyper-personalized outputs at scale
Implement agent memory and state architecture, including short-term, medium-term, and long-term memory (for reliable multi-step execution using tools such as LangGraph)
Own the agent and model lifecycle: feature engineering, training, production deployment (including Cloud Run and Vertex AI), and continuous monitoring with observability tooling
Establish security guardrails, permission boundaries, short-lived agent identity tokens, and safety constraints for production agentic systems
Develop and maintain propensity models, classification systems, and forecasting solutions that inform downstream agent decision-making
Translate complex agentic AI outputs into clear operational strategies and present findings to senior leadership and cross-functional business partners
Perform advanced AI-augmented analytics and generative AI model validation to support accuracy, reliability, and measurable business performance

Requirements

Bachelor's degree or 4+ years of work experience
4+ years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training
4+ years of relevant experience, with 2+ years specifically focused on Generative AI, LLMs, and autonomous agent systems
4+ years experience developing and implementing analytical or AI solutions to complex business problems
Hands-on proficiency with multi-agent orchestration frameworks: LangChain, LangGraph, Google Agent Development Kit (ADK), LlamaIndex, or AutoGen
Experience designing agent-to-agent (A2A) communication protocols, task delegation hierarchies, and the Model Context Protocol (MCP) for enterprise tool integration
Experience with agent memory and state management: short-term context, long-term storage, context window optimization, and stateful workflow execution
Demonstrated knowledge of RAG, ONNX-based embeddings, and vector databases (Pinecone, Weaviate, pgvector) plus semantic search
Demonstrated knowledge of cloud-scale data engineering: BigQuery pipelines and GCP (including Cloud Run and Vertex AI), and experience with Amazon Bedrock or an Azure equivalent
Experience with Python and SQL for statistical modeling, prompt engineering, token management, and large-scale data extraction

Technologies

LangChain, LangGraph, Google Agent Development Kit (ADK), LlamaIndex, AutoGen
Model Context Protocol (MCP), APIs, function calling
Cloud Run, Vertex AI
ONNX, Pinecone, Weaviate, pgvector
Retrieval-augmented generation (RAG), vector databases, semantic search
BigQuery, GCP, Python, SQL
OpenTelemetry, Arize Phoenix, Galileo

Even Better If You Have

Master's degree in a quantitative discipline such as Data Science, Computer Science, Statistics, Mathematics, Engineering, or Operations Research
Familiarity with ML/LLM monitoring and observability tooling (e.g., OpenTelemetry, Arize Phoenix, Galileo) for tracking model drift, accuracy degradation, and agent output quality
Experience with generative AI-augmented analytics: AI testing frameworks, model validation pipelines, and LLMOps tooling including observability and token management
Experience with AI governance, security, compliance, and financial ROI modeling for AI agent deployments
Domain expertise in customer, churn prediction, customer lifetime value (CLV) modeling, or related commercial analytics in Consumer, Telecommunications, Financial Services, or Technology industries
Experience educating and communicating AI findings with integrity from raw output review to executive-facing AI strategy and business impact
High curiosity, investigative mindset, and flexibility to adapt while staying focused on team deliverables

Where You’ll Be Working

Hybrid role: defined work location with working from home and a minimum of three days per week in the office, set by your manager
Employees are responsible for maintaining compliance with hybrid work policies

Schedule

40 hours weekly

Compensation & Benefits

Salary range: USD 101,000 - 194,000 per year (varies by location and confirmed job-related skills and experience)
Incentive based position with potential to earn more
Health and wellness benefit options: medical, dental, vision
Short and long term disability
Basic life insurance
Supplemental life insurance
AD&D insurance
Identity theft protection
Pet insurance
Group home & auto insurance
Matched 401(k) savings plan
Up to 8 company paid holidays per year
Up to 6 personal days per year
Paid parental leave
Adoption assistance
Tuition assistance
Premium pay such as overtime, shift differential, holiday pay, allowances, etc.
Newly hired employees receive up to 15 days of vacation per year, which grows with additional service

View full job page →

1mo ago

Senior Data Scientist

Verizon Basking Ridge, NJ

Basking Ridge, NJ

1mo ago Closed

$101k - $194k/yr Full time Senior Artificial Intelligence Big Data

This position is no longer accepting applications (closed Oct 22, 2026).

Job Description

In this hybrid role based in Basking Ridge, NJ, you will lead analytics efforts and own end-to-end AI and machine learning solutions. As a Senior Data Scientist at Verizon, you will develop and operationalize models, validate data used for analytics, and communicate insights to leadership.

Key Responsibilities

Develop advanced statistical models, machine learning algorithms, and computational approaches to generate data-driven insights aligned to business initiatives.
Oversee data gathering, evaluate data validity, and synthesize information into large analytics datasets to support project goals.
Analyze structured and unstructured data using data mining and machine learning and deep learning tools.
Apply data visualization, digital and web analytics tools, and storytelling techniques to present insights clearly.
Build and train statistical models and machine learning algorithms for predictive and analytical use cases.
Support operationalization activities, including wrapper scripts, REST services, triggers, and monitoring.
Prepare supporting documents and reporting materials required for delivery and stakeholders.
Mentor and guide one to two team members on technical aspects as needed.

Required Qualifications

Bachelor’s degree or four or more years of work experience.
Four or more years of relevant experience demonstrated through work experience and/or military experience.
Four or more years of experience in advanced analytics, predictive modeling, quantitative modeling, statistics, or data mining.
Experience working with third-party B2B data, including firmographics, contact details, technographics, and buyer intent signals.
Experience using GenAI and LLM tools (for example, Claude Code) to accelerate software delivery and development velocity.
Experience across end-to-end analytics project phases, including ingestion, munging, model building, validation, operationalization, and monitoring.
Experience building models using supervised and unsupervised machine learning, deep learning, and text classification.
Knowledge of Python, SQL, PySpark, Scala, and/or other languages and tools.

Technologies

Python
SQL
PySpark
Scala
GenAI/LLM tools
Claude Code
REST service

Salary and Location

Location: Basking Ridge, NJ (hybrid)

Compensation: USD 101,000 to 194,000 per year

Weekly schedule: 40 hours

Benefits

Medical, dental, and vision
Short and long term disability
Basic life insurance; supplemental life insurance; AD&D insurance
Identity theft protection
Pet insurance
Group home and auto insurance
Matched 401(k) savings plan
Up to 8 company-paid holidays per year
Up to 6 personal days per year
Paid parental leave
Adoption assistance
Tuition assistance
Premium pay such as overtime, shift differential, holiday pay, allowances, etc.
Newly hired employees receive up to 15 days of vacation per year (grows with additional service)
Incentive-based position with the potential to earn more

Hybrid Work Expectations

This is a hybrid position with a defined work location. You will work from home and complete at least three days per week in the office, as set by your manager. Employees are responsible for maintaining compliance with hybrid work policies.

View full job page →

2mo ago

Tableau Developer (Data Visualization & Analytics)

Daiichi Sankyo Basking Ridge, NJ

Basking Ridge, NJ

2mo ago Closed

$60 - $72/hr Full time Analytics Dashboard Data

This position is no longer accepting applications (closed Sep 18, 2026).

Job Description

Daiichi Sankyo is hiring a hands-on Tableau Developer for the cMARS team. This hybrid role in Basking Ridge, NJ (local candidates only; 3 days onsite) focuses on building interactive dashboards and analytics that help R&D stakeholders turn data into clear decisions. You will work directly in Tableau and SQL daily, translating ambiguous needs into reliable data visualizations.

What you will do

Design and develop interactive, user-centric dashboards and reports in Tableau
Translate business requirements into insightful visualizations and data stories
Create advanced visualization experiences, including drill-downs and hierarchical navigation
Build advanced components such as heat maps, box plots, trend analysis, and statistical charts
Develop dynamic dashboards using parameters and actions
Develop and optimize complex calculations, including Level of Detail (LOD) expressions, table calculations, conditional logic, and dynamic formatting
Ensure dashboards are accurate, performant, and scalable
Maintain dashboard documentation, including mapping specifications, test dashboards, and testing scripts
Collaborate with data engineers to define and refine data tables for dashboard consumption and to support data quality and usability for analytics
Partner with business analysts to refine wireframes, metrics, and functional requirements
Apply data visualization best practices for clarity, usability, and performance
Troubleshoot dashboard and data issues by identifying root causes and implementing solutions

What you bring

5+ years of hands-on Tableau experience (dashboard development, not just usage)
Strong background building interactive dashboards and complex visualizations
3+ years of SQL experience, including joins, aggregations, and subqueries
Ability to explore and validate datasets
Solid understanding of data modeling and relational databases (e.g., Redshift, Oracle, Snowflake)
Analytical and problem-solving skills with strong attention to detail
Experience with tools including JIRA, Confluence, and Excel
Excellent communication skills
Work Authorization: US Citizen

Preferred qualifications

Tableau Certification (for example, Tableau Certified Data Analyst)
Experience working with R&D or clinical trials data in pharma or life sciences
Experience designing dashboards for large-scale or enterprise data environments
Familiarity with performance optimization techniques in Tableau (including pathways like Tableau Certified Data Analyst)

Compensation and benefits

Hourly pay range: $60–72/hr (dependent on location, experience, and expectation). The pay range that Magnit reasonably expects to pay for this position is $60-72/hr.

Medical
Dental
Vision
401K (provided minimum eligibility hours are met)

Travel required: No travel required.

View full job page →

2mo ago

Financial Analytics Data Engineer

Daiichi Sankyo, Inc. Basking Ridge, NJ

Basking Ridge, NJ

2mo ago Closed

$127k - $191k/yr Full time Data Data Analysis Data Analytics

This position is no longer accepting applications (closed Sep 16, 2026).

Job Description

Daiichi Sankyo, Inc. offers a Financial Analytics Data Engineer opportunity in Basking Ridge, NJ (onsite), where you will help turn analytical and product needs into scalable data and analytics products. The role emphasizes dependable data foundations through validation, monitoring, and quality controls, and includes ongoing evaluation of modern engineering approaches to support scalability, maintainability, and alignment with data governance and security standards.

What you’ll do

Design, develop, and maintain scalable data pipelines, including transformation logic and reusable datasets and data products for Financial Analytics use cases.
Translate analytical and product requirements into scalable technical implementations, supporting operationalization of analytical assets in productive environments.
Apply data validation, monitoring, and quality controls to ensure data foundations are reliable, trusted, and maintainable.
Collaborate with Financial Analytics Product Managers, Data Scientists, Global DX, and technical teams to align solutions with enterprise architecture, engineering standards, and delivery requirements.
Enable continuous improvement by evaluating modern data engineering approaches, improving scalability and maintainability, and ensuring compliance with data governance and security standards.

What you bring

Bachelor’s Degree required.
Master’s Degree preferred in data engineering, computer science, software engineering, information systems, data science, mathematics, finance, or a related field.
5+ years of data engineering, analytics engineering, software engineering, data management, or related fields, preferably supporting analytics or AI use cases in the finance domain.
Experience building and maintaining scalable data pipelines and analytical data solutions.
Experience with structured and semi-structured data environments and data transformation concepts.
Proven ability to work in cross-functional delivery environments and collaborate across technical teams.
Understanding of cloud-based data platforms, data architectures, and modern engineering practice preferred.
Experience in industries such as pharmaceuticals and chemicals preferred.

Compensation

Salary Range: USD$127,280.00 - USD$190,920.00 per year.

Benefits: Download Our Benefits Summary PDF.

Travel

Travel requirements: of the time. Limited.

View full job page →

2mo ago

Principal AI Engineer

Verizon Basking Ridge, NJ

Basking Ridge, NJ

2mo ago Closed

$121k - $231k/yr Full time Ai Ml Artificial Intelligence Cloud

This position is no longer accepting applications (closed Sep 1, 2026).

Job Description

Verizon is seeking a Principal AI Engineer to lead the end-to-end development and deployment of high-priority propensity models that enable microsegmentation and personalized customer experiences. This hybrid role, based in Basking Ridge, NJ, combines hands-on modeling with mentorship of engineers and collaboration with marketing stakeholders to translate complex analytics into measurable business outcomes. The position offers a salary range of USD 120,500 to 231,000 per year.

Responsibilities

Build, train, and deploy our most intricate propensity models to forecast customer behavior, churn risk, and key lifecycle triggers.
Independently manage end-to-end model development pipelines, from advanced feature engineering to production deployment and monitoring.
Collaborate with high-visibility base management pods and senior marketing stakeholders to convert retention goals into actionable data science solutions.
Own the lifecycle of models deployed in high-impact areas, ensuring continuous optimization, accuracy, and measurable business performance.
Translate advanced analytical outputs into microsegmentation strategies that empower marketing partners to deliver highly personalized customer experiences.
Serve as a technical mentor and advisor to senior and mid-level AI/ML engineers, sharing best practices for model optimization and data pipelines.
Present complex model insights, performance metrics, and strategic recommendations clearly to senior leadership and cross-functional partners.

Requirements

Bachelor’s degree or four or more years of work experience.
Six or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training.
Four or more years of experience independently developing, deploying, and optimizing complex machine learning or propensity models in a production environment.
Experience working on high-priority or high-visibility technical initiatives within a corporate setting.
Knowledge of LLM agent architecture: Google ADK, LangChain/LangGraph, multi-agent orchestration, retrieval-augmented generation (RAG), MCP, A2A protocols.
Experience with retrieval-augmented generation (RAG), ONNX-based embeddings, vector databases and semantic search.
Knowledge of cloud-scale data engineering: BigQuery pipelines, GCP (Cloud Run, Vertex AI).
Experience with Python, R, and SQL for advanced statistical modeling and large-scale data extraction.

Technologies

Google ADK
LangChain
LangGraph
Retrieval-augmented generation (RAG)
MCP
A2A protocols
ONNX-based embeddings
Vector databases
Semantic search
BigQuery pipelines
GCP
Cloud Run
Vertex AI
Python
R
SQL
OpenTelemetry
Arize Phoenix
Galileo

Benefits

Health and wellness coverage including medical, dental, and vision; short- and long-term disability; basic and supplemental life insurance; AD&D; identity theft protection; pet insurance; and group home and auto insurance
401(k) savings plan with company match
Up to 8 company-paid holidays per year
Up to 6 personal days per year
Paid parental leave
Adoption assistance
Tuition assistance
Premium pay options such as overtime, shift differential, holiday pay, and allowances
Newly hired employees accrue up to 15 vacation days per year, growing with service
Total rewards package

Where you’ll be working

This is a hybrid role with a defined work location that includes work from home and assigned office days as set by the manager. A minimum of three days per week in the office is expected, with adherence to hybrid work policies.

Schedule

40 hours per week

Equal Employment Opportunity

Verizon is an equal opportunity employer. Qualified applicants are evaluated without regard to veteran status, disability or other legally protected characteristics.

View full job page →

2mo ago

Senior AI Engineer

Verizon Basking Ridge, NJ

Basking Ridge, NJ

2mo ago Closed

$101k - $194k/yr Full time Manager Senior Agentic Ai

This position is no longer accepting applications (closed Sep 1, 2026).

Job Description

Verizon is seeking a Senior AI Engineer to design, implement, and scale agentic AI and ML models for the Verizon Consumer Group. The role emphasizes turning architectural concepts into production-grade code with a focus on reliability, performance, and scalable systems. This hybrid position is based in Basking Ridge, New Jersey, combining remote work with in-person office days as needed.

Compensation

Salary range: USD 101,000 to 194,000 per year.

Responsibilities

Design, test, and scale agentic AI/ML solutions, including specialized workflows and LLM-powered systems for VCG platforms.
Integrate AI agent frameworks with existing customer success, digital, and retail channel technologies.
Collaborate with product managers and GTS engineering teams to implement and refine production-grade technical roadmaps.
Participate in engineering code reviews, technical design sessions, and red-teaming exercises to ensure safe and reliable model behaviors.
Optimize model inference pipelines, API endpoints, and data integration layers to meet high-performance consumer demands.
Assist in technical research and rapid prototyping to quickly evaluate and adopt emerging open-source and proprietary AI frameworks.
Contribute to documentation of technical specifications and create materials to showcase pilot performance results.

Requirements

Bachelor's degree or four or more years of work experience.
Four or more years of relevant experience required, demonstrated through work experience and/or military experience.
One or more years of hands-on experience building and tuning AI/ML models or integrating LLM applications.
Experience with software development methodologies (e.g., Agile).
Willingness to travel up to approximately 25% of the time.

Technologies

LangChain
AutoGen
GCP
AWS
Azure
ACSS
Optix
POS
CTI
WorkHub
Performance management Tools
Verint

Benefits

Medical insurance
Dental insurance
Vision insurance
Short-term disability
Long-term disability
Basic life insurance
Supplemental life insurance
AD&D insurance
Identity theft protection
Pet insurance
Group home & auto insurance
401(k) matching plan
Company-paid holidays
Personal days
Paid parental leave
Adoption assistance
Tuition assistance
Premium pay options (e.g., overtime, shift differential, holiday pay, allowances)
Vacation days

Where you'll be working

This hybrid role has a defined work location that includes working from home and at least three days per week in the office, as set by the manager. Employees are responsible for maintaining compliance with hybrid work policies.

Scheduled weekly hours

40 hours per week

Equal Employment Opportunity

Verizon is an equal opportunity employer. Qualified applicants are evaluated without regard to veteran status, disability, or other legally protected characteristics.

View full job page →

3mo ago

AI Engineer - GenAI / Agentic Systems - Financial Services

Infosys Basking Ridge, NJ

Basking Ridge, NJ

3mo ago Closed

$117k - $148k/yr Full time Agentic Ai AI Artificial Intelligence

Data Jobs in Basking Ridge, NJ

Get Data Jobs in Basking Ridge, NJ alerts