United States

Data Jobs in United States

3,276 jobs found

Include remote jobs

1mo ago

Senior Data Scientist

Nestlé Health Science Bridgewater, NJ

Bridgewater, NJ

1mo ago Closed

$130k - $160k/yr Full time Senior Analytics Artificial Intelligence

This position is no longer accepting applications (closed Sep 13, 2026).

Job Description

Join Nestlé Health Science’s Consumer Insights and Analytics team to build and deploy advanced analytics and AI solutions that support business outcomes across Marketing and Sales.

Responsibilities

Develop and implement data science solutions that enable data-driven decision-making and support Consumer Insights & Analytics priorities
Work with large, complex datasets to uncover patterns, build statistical and machine learning models, and address business problems using big data tools such as Databricks, Azure ML, and Apache Spark
Deliver structured data storytelling through strong data visualization to drive impactful decisions
Design deep learning and natural language processing (NLP) models to analyze complex information across business processes
Continuously monitor deployed models, evaluate performance, and refine models to maintain accuracy and relevance over time
Research, test, and evaluate AI technologies to identify the best tools and platforms for business objectives
Incorporate data science innovations into product solutions to improve data, analytical, and automation capabilities
Partner with cross-functional teams and stakeholders to provide expertise across omnichannel analytical projects and keep work aligned to business goals
Build, maintain, and enhance analytics tools to increase capability and speed to value

Requirements

Bachelor’s, Master’s, or Ph.D. in Computer Science, Data Science, Mathematics, Physics, Operations Research, Statistics, or a related field
5+ years experience as a Data Scientist, Machine Learning Engineer, or Applied Scientist, focused on computer vision, natural language processing, or data synthesis
Experience developing and deploying advanced analytical models and algorithms
Practical machine learning experience, including Regression, Clustering, Probability Networks, AI, and Deep Learning
Hands-on programming experience in Python and R, using advanced cognitive and machine learning methods to solve business challenges
Experience with relational databases and cloud technologies including Databricks, Snowflake, AWS, Azure ML, AMC, and BigQuery
Experience transforming raw data into meaningful features for machine learning models
Expertise working with missing data, scaling, encoding categorical variables, and dimensionality reduction techniques
Hands-on experience designing and analyzing A/B tests and other experimental methodologies
Hands-on experience with causal inference to measure impact of business decisions
Experience visualizing and presenting data-driven insights using Power BI and Tableau
Experience building recommendation engines for sales, customer targeting, or supply chain optimization use cases
Experience building and implementing optimization models to improve decision-making
Familiarity with agile methodologies and rapid prototyping in data science projects
Strong knowledge of industry-standard tools and methodologies for model training, statistical analysis, and machine learning deployment
Experience with CPG and ecommerce datasets, including retail analytics and advertising data, is a plus
Experience with AMC (Amazon Marketing Cloud) and Amazon advertising and sales data will receive priority consideration

Technologies

Python, R
Databricks, Azure ML, Apache Spark
Snowflake, AWS, AMC, Big Query
Power BI, Tableau

Location

Bridgewater, NJ (hybrid)

Compensation

USD 130,000 - 160,000 per year
Final compensation may vary based on knowledge, skills and abilities, as well as geographic location

Benefits

Performance-based incentives
401k with company match
Healthcare coverage
Broad range of other benefits
Competitive total rewards package

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1mo ago

Senior AI Engineer

David Joseph & Company New York, NY

New York, NY

1mo ago Closed

$170k - $220k/yr Full time Backend Developer Senior Agentic Ai

This position is no longer accepting applications (closed Sep 13, 2026).

Job Description

The Senior AI Engineer will take end-to-end ownership of a finance domain, delivering production-grade AI agent systems for CFO office workflows. The work is backend-heavy in practice, with full-stack execution across context engineering, prompt and tool design, evaluation, guardrails, and user experience in partnership with finance stakeholders.

Role Overview

You will own the finance domain end to end, covering the complete lifecycle from context engineering and prompt design through tool use, evaluations, and guardrails, along with the UX layer around these systems. You will also collaborate with controllers, accountants, and CFOs to replace manual workflows with reliable production agent systems.

Key Responsibilities

Own a finance domain end to end, including context engineering, prompt design, tool use, evaluations, guardrails, and the UX around these components
Partner directly with controllers, accountants, and CFOs to transition manual processes to production-grade agent systems

Required Qualifications

2+ years building and shipping production AI agents
4+ years of backend or infrastructure engineering
Research background in ML, NLP, or AI agents
Early-stage startup experience (pre-seed to Series B)
On-site role in NYC, six days per week on startup hours

Technologies

Python

Preferred Qualifications

Strong track record in agentic-systems
Additional research background in ML, NLP, or agents
Graduated post-2021 with direct agentic-era experience
Background in fintech, ERP, or accounting software

Compensation and Work Details

Location: New York, NY (on-site)
Schedule: On-site, 6 days/week (startup hours)
Salary: USD 170,000 to 220,000 per year
Equity: 0.1%–0.35%
Employment type: Full-time
Visa sponsorship: Not available

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1mo ago

Data Analyst

QTS Data Centers Irving, TX

Irving, TX

1mo ago Closed

Full time Analytical Skills Analytics Business Analytics

This position is no longer accepting applications (closed Sep 13, 2026).

Job Description

QTS Data Centers is seeking a Data Analyst to support execution-focused analytics across the development lifecycle. Based in Irving, TX (onsite), this role focuses on tracking equipment and OFCI status, construction progress, commissioning, and operational readiness using structured data from multiple systems to power reporting and actionable insights.

What you will do

Develop and manage dashboards and analytics that track engineering progress, equipment/OFCI status, construction, commissioning, and turnover readiness
Work with engineering, procurement, and construction teams to keep equipment demand data accurate and aligned with delivery
Use data from Oracle, Autodesk Forma, Palantir, Smartsheet, CxAlloy, and/or ServiceNow to deliver consistent development execution insights
Identify lifecycle risks and cost drivers to inform TCO planning and investment decisions
Provide structured insights that support scenario planning, procurement timing, and operational risk mitigation
Lead and develop a team of analysts supporting execution data, reporting tools, and system workflows
Partner with Capital Planning, Cost Controls, and Operations teams so lifecycle data supports cross-functional decision-making

Requirements

Bachelor’s degree in Computer Science, Data Science, Statistics, Business Analytics, or a related field (or equivalent professional experience)
3+ years of experience as a Data Analyst, Business Analyst, or similar role, with an emphasis on data analysis and visualization
Proficiency with Snowflake, Tableau, Excel, Smartsheet, or similar tools for data analysis and reporting

Tools & technologies

Oracle, Autodesk Forma, Palantir, Smartsheet, CxAlloy, ServiceNow, Snowflake, Tableau, Excel

Benefits

Medical, dental, vision, life, and disability insurance
401(k) retirement plan
Flexible spending and HSA accounts
Paid holidays and paid time off
Paid volunteer days
Employee assistance program
Tuition assistance
Parental leave and military leave assistance
QTS scholarship for dependents
Wellness program and other company benefits
This position is bonus eligible

Preferred qualifications

Relevant experience in project analytics, reporting, construction management, or development operations
Relevant certifications in data analysis or business intelligence

Knowledge, skills, and abilities

Integrity to maintain honest and open relationships with end users
Execution to complete tasks effectively and efficiently, aligning with user needs
Agility to problem-solve and address end user challenges and project requirements
Development as a self-learner who explores new application features and functionality
Strong analytical and problem-solving skills to interpret complex data sets
Communication skills to convey technical information effectively to non-technical stakeholders

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1mo ago

Data Analyst / Engineer

McAfee Frisco, TX

Frisco, TX

1mo ago Closed

$93k - $153k/yr Full time Analytics APIs Artificial Intelligence

This position is no longer accepting applications (closed Sep 13, 2026).

Job Description

McAfee is hiring a Hybrid Data Analyst / Engineer for the Consumer Protection Team in Frisco, TX, focused on turning operational data into scalable insights and real-time monitoring.

Responsibilities

Design comprehensive data metrics from telemetry and user data for threat analysis and UX optimization.
Build and optimize data insights and solutions using AI/ML.
Create solutions that combine external and internal data sources to improve consumer experience.
Develop scalable ETL pipelines to process large-volume telemetry across heterogeneous systems.
Build real-time dashboards to monitor product health and operational issues, ensuring data quality and integrity.
Support seamless AI integration across a polyglot codebase including Android, iOS, macOS, and Windows.

Requirements

5+ years of data engineering experience.
1+ year of hands-on AI/ML experience.
Experience with Spark, Kafka, ETL pipelines, and a data warehouse such as Databricks.
Experience with databases including SQL and NoSQL ( PostgreSQL, MongoDB, Redis ).
Knowledge of cloud platforms: AWS, Azure, or GCP, with a focus on AI/ML services.
Experience with API development ( REST, GraphQL ) and real-time systems.
Cybersecurity platform knowledge and MCP implementation experience.
Strong critical thinking to evaluate trade-offs and solve complex data problems.

Tech Stack

Spark, Kafka, Databricks
SQL, PostgreSQL, MongoDB, Redis
AWS, Azure, GCP
AI/ML, REST, GraphQL
Android, iOS, macOS, Windows

Location & Work Model

Frisco, TX (hybrid)
On-site requirement: 2 to 3 days per week
Work from a home office when not on-site
Candidates must be within a commutable distance to the Frisco office
Relocation assistance is not provided

Compensation

USD 93,370 - 153,400 per year

Benefits

Bonus Program
401k Retirement
Medical, Dental, Vision, Basic Life, Short Term Disability, Long-Term Disability Coverage
Paid Parental Leave
Support and Community Involvement
14 Paid Company Holidays
Unlimited Paid Time Off for Exempt Employees
96 Hours of Sick Time and 120 Hours of Vacation for Non-Exempt Employees, accrued each year

Company Culture & Perks

Emphasis on diversity and inclusion, encouraging employees to bring their authentic selves to work
Social programs, flexible work hours, and family-friendly benefits

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1mo ago

Technical Scrum/Data Analyst

Y&L Consulting San Antonio, TX

San Antonio, TX

1mo ago Closed

$70 - $75/hr Contract Agile Methodologies Agile Scrum Business Analytics

This position is no longer accepting applications (closed Sep 13, 2026).

Job Description

Y&L Consulting is hiring a Technical Scrum/Data Analyst for an onsite contract role in San Antonio, TX.

Responsibilities

Support large-scale data transformation programs and enterprise delivery efforts
Lead cross-functional work with business stakeholders, architects, engineers, and vendors
Provide project updates to PMO leadership, steering committees, and executive stakeholders
Manage Agile backlogs and delivery roadmaps for enterprise initiatives
Use Agile management tools such as Azure DevOps, Jira, or similar systems to track delivery

Requirements

5+ years of experience in Business Analysis, Data Analysis, Project Delivery, or related disciplines
5+ years serving as a Scrum Master or Agile Delivery Lead on enterprise technology initiatives
3+ years working with enterprise data platforms, data warehousing, or analytics solutions
Certified Scrum Master (CSM), SAFe Scrum Master, SAFe Agilist, or equivalent (preferred)
Strong understanding of Agile, Scrum, Kanban, and hybrid project methodologies
Strong understanding of Enterprise Data Hubs (EDH) and Master Data Management (MDM)
Demonstrated knowledge across enterprise data governance topics:
- Data Quality Management
- Data Lineage
- Metadata Management
- Data & Metric Catalog
Experience with data integration concepts including ETL and ELT
Knowledge of data warehousing methodologies
Hands-on familiarity with at least one cloud data platform/tooling set:
- Snowflake, Databricks, Google BigQuery
- Azure Data Platform, AWS Data Services, Google Data Platform
SQL and data analysis tools

Technology Focus

Enterprise Data Hubs (EDH) and Master Data Management (MDM)
Data Quality Management, Data Lineage, Metadata Management
Data & Metric Catalog
Data Integration, ETL/ELT, Data Warehousing methodologies
Snowflake, Databricks, Google BigQuery
Azure Data Platform, AWS Data Services, Google Data Platform
SQL
Azure DevOps, Jira
Informatica MDM
Cloud-based data lakehouse architectures

Preferred Qualifications

Experience implementing or supporting Master Data Management using Informatica MDM
Experience in enterprise data modernization initiatives
Knowledge of cloud-based data lakehouse architectures
Experience supporting data governance councils and data stewardship programs
Familiarity with data catalog and metadata management tools

Job Details

Location: San Antonio, TX (onsite)
Contract role
Pay: USD 70 - 75 per hour
Minimum experience: 3 years

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1mo ago

Senior Data Analyst - Risk Product

Northwestern Mutual Milwaukee, WI

Milwaukee, WI

1mo ago Closed

$89k - $154k/yr Full time Senior Analytics Business Analytics

This position is no longer accepting applications (closed Sep 13, 2026).

Job Description

Northwestern Mutual is hiring a Senior Data Analyst to support its Risk Product team within a hybrid work environment in Milwaukee, WI. In this role, you will help Sales Enablement teams move from complex information to clear insights, practical reporting, and data-driven recommendations that improve performance and strengthen processes.

What you’ll do

Perform quantitative and qualitative analysis to surface patterns, trends, insights, and opportunities that inform business decisions.
Create and maintain reports, dashboards, and forecasts so leaders can understand performance and take action.
Apply analytics and metrics to evaluate business processes, identify risks or opportunities, and recommend next steps.
Convert complex findings into clear written, verbal, and presentation-based insights for department leaders and business clients.
Produce actionable reporting focused on key performance indicators (KPIs), improvement areas, and root-cause analysis.
Partner with stakeholders to define business questions, user needs, current processes, and the decisions analysis must support.
Build and maintain KPI frameworks that connect data, performance measures, and business outcomes.
Gather, analyze, and interpret data from multiple internal and external sources to support decision-making.
Use data visualization best practices to ensure dashboards and reports are clear, useful, and easy to understand.
Initiate the design and development of analytical deliverables based on business needs, findings, and stakeholder priorities.
Provide consultation to business clients and participate in cross-functional efforts to address business issues.
Develop deep expertise in at least one business domain while maintaining broad understanding of related functions.
Support continuous improvement by sharing insights, best practices, methodologies, and standards across teams.
Bring creative problem-solving, curiosity, and new perspectives to improve analytical capabilities and business impact.
Work through ambiguity and changing priorities while delivering high-quality, value-driven results.

What you’ll need

Bachelor’s degree in Computer Science, Management Information Systems, Mathematics, Statistics, Business, or a related field.
4–5+ years of professional experience in analytics, reporting, data analysis, or a related field, including at least 4 years in an analytics-related role.
At least 3 years of hands-on analytics experience.
Experience conducting research, applying statistical techniques, developing reports, or building analytical solutions to support business decisions and outcomes.
Proficiency with analytical tools such as SQL, SAS, Microsoft Excel, SPSS, R, or similar platforms.
Experience using data visualization tools such as Power BI, Tableau, or similar reporting platforms.
Ability to access, gather, analyze, and interpret data from multiple internal and external sources.
Ability to identify business trends, performance drivers, root causes, and improvement opportunities.
Strong communication skills to explain insights clearly to business stakeholders, including adaptive communication for decision support.
Storytelling through data by connecting insights, trends, and recommendations into a clear business narrative.
Strong foundation in data analytics, data literacy, analytical thinking, and root-cause analysis.
Hands-on ability with SQL to pull, organize, join, and model data for reporting and dashboards.
Ability to develop dashboards and visualizations using Tableau or Power BI so stakeholders can interpret and act on results.
Strong attention to detail, business curiosity, and capability to produce high-quality work that supports meaningful business outcomes.

Technology stack

SQL, SAS, Microsoft Excel, SPSS, R, Power BI, Tableau, Python

Compensation and location

Location: Milwaukee, WI (hybrid)
Salary range: USD 89,360 - 154,200 per year
Pay range start: $89,360.00
Pay range end: $134,040.00
Geographic specific pay structure:
- Structure 110: $98,320.00 - $147,480.00
- Structure 115: $102,800.00 - $154,200.00

Benefits

Flexible work schedules
Concierge service
Comprehensive benefits
Employee resource groups

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1mo ago

Network and Cyber Test Data Analyst

CACI Alexandria, VA

Alexandria, VA

1mo ago Closed

$87k - $182k/yr Full time Artificial Intelligence Command And Control Cyber Threat Analysis

This position is no longer accepting applications (closed Sep 13, 2026).

Job Description

CACI is seeking a JIATF 401 Network and Cyber Test Data Analyst in Alexandria, VA to collect, correlate, analyze, and visualize network, cyber, and operational test data supporting Counter-Unmanned Aircraft Systems (C-UAS) technology evaluations. The role supports performance, interoperability, resiliency, and cybersecurity assessments through analytical products such as dashboards, reports, and executive briefings.

Responsibilities

Collect, aggregate, correlate, and analyze network, cyber, RF, and operational test data from C-UAS technologies, sensors, command and control systems, and supporting enterprise networks.
Use Maven Smart System (MSS), Palantir, Power BI, Python, and AI-enabled analytical tools to support network analysis, cybersecurity assessments, and operational test evaluations.
Analyze network traffic, packet captures, system logs, cybersecurity events, telemetry, and performance metrics to identify trends, vulnerabilities, anomalies, and operational impacts.
Support developmental testing, operational testing, technology demonstrations, and capability evaluations by producing analytical products measuring system performance, resiliency, and cybersecurity effectiveness.
Evaluate network architectures, system interoperability, communications performance, latency, bandwidth utilization, and cybersecurity controls supporting C-UAS operations.
Create dashboards, data visualizations, technical reports, and executive-level briefings that communicate network performance, cyber readiness, operational effectiveness, and mission impacts.
Apply artificial intelligence, machine learning, and automated analytics to accelerate log analysis, anomaly detection, threat identification, and operational decision support.
Analyze cybersecurity events, defensive cyber operations data, vulnerability assessment results, penetration testing outcomes, and system audit logs to identify risks and recommend mitigation strategies.
Develop performance metrics and analytical frameworks to evaluate network reliability, cyber resiliency, system availability, interoperability, and mission effectiveness.
Coordinate with Test Engineers, Network Engineers, Cybersecurity Engineers, Software Engineers, operators, acquisition personnel, and mission stakeholders to develop test assessments and technical recommendations.
Assist with test planning by identifying data collection requirements, instrumentation needs, success criteria, and analytical methodologies for network and cyber evaluations.
Produce technical documentation, analytical reports, after-action reviews, operational assessments, and executive briefings supporting acquisition decisions and capability development.
Maintain data integrity, security, and compliance with applicable cybersecurity policies, information assurance standards, and data governance requirements.
Stay current on emerging cybersecurity threats, network technologies, AI-enabled analytical capabilities, and evolving C-UAS architectures to strengthen organizational capabilities.

Requirements

Active Top Secret/SCI Clearance.
BA/BS with 4+ years; AA/AS with 8+ years; or HS/GED with 10+ years.
Demonstrated experience analyzing network performance, cybersecurity events, system logs, operational test data, or enterprise network environments.
Experience using Maven Smart System (MSS), Palantir, or similar enterprise data integration and analytics platforms.
Experience developing dashboards, reports, and interactive visualizations using Power BI or similar business intelligence platforms.
Working knowledge of Python for data analysis, automation, scripting, and analytical workflows.
Experience leveraging AI-enabled tools, machine learning applications, or advanced analytics platforms for network or cyber analysis.
Knowledge of TCP/IP networking, network protocols, cybersecurity principles, system logging, packet analysis, and network performance monitoring.
Experience analyzing packet captures, firewall logs, endpoint telemetry, SIEM data, or operational test instrumentation.
Experience collecting, organizing, validating, cleansing, and exploiting structured and unstructured technical datasets from multiple operational and enterprise sources.
Strong proficiency with Microsoft Office Suite, including technical documentation, analytical reports, executive briefings, and presentation materials.
Ability to translate complex network and cybersecurity findings into concise, actionable recommendations for senior military and civilian leadership.
Proven ability to collaborate with multidisciplinary engineering, cyber, operational, and acquisition teams in dynamic mission environments.

Technologies

Maven Smart System (MSS)
Palantir
Power BI
Python
Artificial intelligence
Machine learning
Wireshark
Splunk
Microsoft Sentinel
Elastic Stack
Security Information and Event Management (SIEM)
NIST RMF
Zero Trust Architecture
CJADC2

Desired

Experience supporting Department of Defense, Intelligence Community, Homeland Security, or Counter-Unmanned Aircraft Systems (C-UAS) organizations.
Familiarity with C-UAS command and control networks, tactical communications, mission command systems, and network-enabled sensor architectures.
Experience supporting developmental test and evaluation (DT&E), operational test and evaluation (OT&E), cybersecurity test events, or technology demonstrations.
Knowledge of cybersecurity frameworks including NIST RMF, Zero Trust Architecture, DoD cybersecurity policies, and defensive cyber operations.
Experience utilizing Wireshark, Splunk, Microsoft Sentinel, Elastic Stack, SIEM platforms, or comparable network and cyber analysis tools.
Experience supporting CJADC2, data fusion, common operating picture development, cloud-based network architectures, or operational decision-support systems.