5,991 AI jobs in the United States

Responsibilities

• Conduct advanced analytics leveraging predictive modeling, machine learning, data mining, data visualizations, simulation, and optimization; interprets disparate data/complex data sets/structured and unstructured data and other techniques to deliver insights or develop analytical solutions to achieve business objectives
• Act as a technical thought leader in collaboration with the analytics leadership team, helping to set the strategy and standards for data science and advanced analytics
• Work with senior leaders from all functions to explore opportunities for using advance analytics
• Provide technical leadership, coaching, and mentoring to talented data scientists and analytics professionals
• Guide data scientists in the use of advanced statistical, machine learning, and artificial intelligence methodologies
• Guide the work of other data scientists to provide support and assistance, while also ensuring quality
• Define data science methodology for more complex business problems
• Partner with the team's Technology Manager and data engineers to enable appropriate data flow/data model, development tools/technology, rapid prototyping and inform the design of analytics products
• Partner with domain experts to verify model capabilities and translate modeling outputs from statistical inferences into business language
• Coach and Develop employees on all levels about data science tools and methodologies

QUANTUM TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. QUANTUM TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will QUANTUM TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract

Overview

Data Science role at Peraton. Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. The GCC provides CSSP responsibilities and conducts DODIN Operations and DCO - Internal Defensive Measures (IDM) to protect the DODIN IAW the DoDM and the DoD Cybersecurity Services Evaluator Scoring Metrics (ESM). These responsibilities are broken into five CSSP functions; Identify, Protect, Detect, Respond, and Recover. The division provides support services for the protection, monitoring, analysis, detection, and response to unauthorized activity within the DoD Information Systems and Networks. DCO-IDM services defend against unauthorized activity on Army assets residing on the NIPRNet and SIPRNet. The division provides defensive measures to protect and defend information, computers, and networks from disruption, denial, degradation, or destruction. The division provides sensor management and event analysis and response for network and host-based events. Event analysis and response includes reducing multiple cyber incidents to actual malicious threat determinations and mitigating those threats IAW guidance from GCC Government leadership.

• Develop reports and products, both current and long-term, in support of CSSP and course of action development.
• Prepare Tactics, Techniques, and Procedures (TTP), SOPs, Executive Summary (EXSUMS), trip reports, and information/point papers.
• Contribute to the preparation of agreements, policy, and guidance documentation such as Memorandums of Understanding / Agreement (MOU/A), Service Level Agreements (SLA).
• Defensive Cyber Infrastructure (DCI) Support. Develop and distribute content provided by security platform vendors at least weekly and as needed.
• Develop and distribute in-house content based on tips from higher organizations and the Threat Hunt team.
• Provide content development and distribution to tactical edge customers and develop TTPs for doing so.
• Consolidate different data sources into a single view used to assess the status of a specific threat on the network.
• Develop and/or maintain dashboards displaying CSSP items of interest and all active cyber incidents in near real time within each respective Area of Responsibility (AOR).
• Maintain, update, test, and implement signatures and policies for each sensor managed by GCC.
• Coordinate changes through the ITIL process and develop signatures and policies for both network- and host-based sensors.
• Update as necessary to minimize false positives and validate syntax.
• Conduct development and testing on isolated networks and document testing activity with plans, results, and procedures as signatures are updated.
• Update and validate the plan at least annually with a signature test plan.

Basic Qualifications:

• 8 years with BS/BA; 6 years with MS/MA; 3 years with PhD
• Certifications: DCWF Code 521 Advanced or CISSP or GIAC certifications such as GCIA, GCLD, GDSA, GICSP, GSEC, ISSAP, ISSEP, etc.
• Active TS/SCI Clearance
• Ability to conduct vulnerability assessments and monitor networks to support test and operational environment requirements.
• Solid understanding of data transport, encryption, networking, IT systems, and cybersecurity fundamentals.

Target Salary Range: $66,000 - $106,000. Salary is determined by the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and contract considerations. Depending on the position, overtime, shift differential, and a discretionary bonus may be available in addition to base pay.

EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

• Full-time

Our data scientists are the link between our business, customers, and technology solutions. By modeling and transforming datasets, our data scientists provide valuable insights that help us to make decisions and build customer solutions.

As a data scientist, you’ll work on challenging projects at a large scale with real-life data. You define new metrics, build new tools, and work on machine learning solutions. You’ll help us deep dive into the needs of our customers so we can keep adapting to their demands and improving their experience.

Come join other talented minds who create a positive impact on the lives of millions of people. You’ll get the chance to apply and improve your knowledge with the latest tech. You’ll build an exciting career in an inclusive space, where you turn ideas into big achievements.

Srujana

Principal Applied Scientist

Patrick

Data Scientist

Our data scientists are the link between our business, customers, and technology solutions. By modeling and transforming datasets, our data scientists provide valuable insights that help us to make decisions and build customer solutions.

As a data scientist, you’ll work on challenging projects at a large scale with real-life data. You define new metrics, build new tools, and work on machine learning solutions. You’ll help us deep dive into the needs of our customers so we can keep adapting to their demands and improving their experience.

Come join other talented minds who create a positive impact on the lives of millions of people. You’ll get the chance to apply and improve your knowledge with the latest tech. You’ll build an exciting career in an inclusive space, where you turn ideas into big achievements.

Srujana

Principal Applied Scientist

Patrick

Data Scientist

This is a remote position.

Position Purpose

The Data Science Manager is responsible for leading a team of data scientists (individual contributors), ensuring that their efforts drive business profitability, increased efficiencies and improved customer experience. This role leads overall programs, maximizing resources, partnering with project teams and business partners, and supports problem solving efforts. Data Science Managers provide leadership, mentoring, and coaching to team members, along with supporting their development of business and technical skills.

This team works with forecasting possible outcomes of price and promotion actions at different levels, including AI solutions, and would need to be Proficient in deep learning and forecasting techniques.

As a Data Science Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions. This role is expected to collaborate with other Data Science Managers across the organization for aligning strategies and effectively managing talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations.

• 40% People Management & Team Leadership - Provide leadership, mentorship and coaching to Data Scientists (individual contributors) and evaluate performance, execution, and contribution; Attract, retain and develop top talent to build an effective and high performing team; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Ensure appropriate processes and job-specific requirements are properly documented; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Manage resources effectively to align with strategic initiatives and business needs; Foster collaboration with team members to develop a supportive and engaged team; Support team in the design and development of algorithms and models to use against large datasets to create business insights; Drive team's results and celebrate accomplishments

• 25% Project Management - Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others; Manage programs for the team to ensure consistency of execution, balance of resources and quality solutions; Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them; Serve as escalation point for any issues or difficulties with specific projects; Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts

• 20% Technical Exploration & Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Ensure best practices and vision for data analysis and model productionization are leveraged

• 15% Strategy & Business Development - Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team's skills; Effectively develop trust and collaboration with internal customers and cross-functional teams; Ensure alignment with IT support model, collaboration, tools and governance to enable data scientists to be most effective in executing their roles; Collaborate with other data science managers across the organization to establish high level strategy and optimize talent management

• This position typically reports to Senior Manager or above
• This position has Direct Reports & manages programs

• Typically requires overnight travel 5% to 20% of the time.

• Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.

• Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

• Must be eighteen years of age or older.
• Must be legally permitted to work in the United States.

• Experience taking a deep learning solution from end to end
• Previous people or project team management experience
• 9+ years of experience in business intelligence and analytics
• Expertise in predictive modeling, data mining and data analysis
• Mastery running queries against data (preferably with Google BigQuery or SQL)
• Proficient with data visualization software (preferably Tableau)
• Mastery utilizing statistical techniques to identify key insights that help solve business problems
• Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
• Demonstrated proficiency in predictive modeling, data mining and data analysis
• Experience managing and growing team members in a professional setting

• The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.

• No additional education

• 8

• Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs
• Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals
• Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization
• Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals
• Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
• Develops Talent: Developing people to meet both their career goals and the organization's goals
• Directs Work: Provides direction, delegating and removing obstacles to get work done
• Drives Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives
• Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action
• Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity
• Interpersonal Savvy: Relating openly and comfortably with diverse groups of people
• Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics
• Persuades: Using compelling arguments to gain the support and commitment of others
• Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies

Benefits offered include health care benefits, 401K, ESPP, paid time off, and success sharing bonus. For a full list of the various benefits The Home Depot offers, visit

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

Salary: $130,000.00 - $225,000.00

Denver Headquarters, Greenwood Village, Colorado, United States of America

Posted Monday, July 21, 2025 at 6:00 AM | Expired Thursday, July 24, 2025 at 5:59 AM

Purpose:

As a Data Scientist I, you will join a dynamic team leveraging data to drive business decisions. Your responsibilities will include understanding business projects, querying and analyzing data, executing and evaluating A/B tests, and communicating insights. You will also support machine learning and automated intelligence initiatives. We’re looking for someone with academic training and hands-on experience in prompt engineering and a strong understanding of the latest large language model (LLM) advancements. This role will help us integrate LLM-powered tools to enhance productivity, automate workflows, and improve data-driven recommendations.

Reports To: Director, Data Science

Duties and Responsibilities:

Learn and Apply Best Practices: Acquire knowledge in data science and business best practices. · Data Exploration and Analysis: Extract data from our data warehouse, conduct exploratory data analyses, work with the reporting team to create automated dashboards, and communicate insights effectively.

A/B Testing: Set up, execute, and analyze A/B tests, and interpret results based on guidance from Data Science leadership.

Pipeline Ownership: Manage data processing, analytic, and ML pipelines, ensuring data quality and reliable execution.

LLM Integration & Prompt Engineering: Identify and implement ways to leverage large language models (LLMs) to enhance data science workflows, including automated data retrieval, text summarization, code generation, ETL optimization, and decision-support systems for pricing and paid advertising. Design, test, and refine prompts to improve the accuracy and relevance of LLM-driven insights and automation.

Collaboration and Communication: Contribute to a positive work environment with a constructive attitude and effective communication with data colleagues and other departments.

Qualifications:

Must Have Qualifications

Technical Skills: Fluent in SQL and Python (or R with a willingness to learn Python).

Data Handling: Comfortable with pandas (or equivalent in R) and sklearn .

Visualization Tools: Familiarity with PowerBI or Tableau.

Statistical Analysis: Understanding of A/B testing and statistical methods.

LLM & Prompt Engineering Expertise: Hands-on experience working with large language models (e.g., OpenAI GPT, Claude, Llama, Gemini) to improve business and data science workflows. Ability to design and optimize prompts for tasks such as data retrieval, report generation, decision automation, and code enhancement. Strong understanding of LLM limitations, biases, and tuning techniques for improving model outputs.

Personal Attributes: Positive attitude, hard-working , receptive to feedback, and a willingness to learn from mistakes.

Nice to Have Qualifications

Version Control: Experience with GIT.

Code Quality: Experience writing modular, production-ready code.

Big Data Tools: Familiarity with Databricks and PySpark .

GIS Experience: Knowledge of GIS, especially the ArcGIS Python API.

Education and Experience

Degree: Bachelor’s degree in a STEM discipline required, Master’s degree preferred.

Experience: 1+ years experience in a data science role preferred.

Compensation Range: $60 ,000 - $0 ,000 Base + Bonus

Location: The successful candidate must live in one of the listed States: Alabama, Arizona, Colorado, Florida, Georgia, Illinois, Indiana, Kansas, Louisiana, New Mexico, Nevada, N.Carolina , Oklahoma, Oregon, S.Carolina , Tennessee, Texas, Washington.

Due to Payroll compliance, we will be unable to hire anyone in a State not listed.

Visa sponsorship is not currently available. Only permanent residents and US citizens will be considered.

About NSA

Denver based National Storage Affiliates (NYSE: NSA) is a leading self-storage REIT with over 1,000 properties spread across 42 states including Puerto Rico as of March 31 , 2024. NSA is one of the largest owners and operators of self-storage properties in the U.S.

NSA OP, LP is an equal opportunity employer. Employment and promotional decisions are made without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, genetic information or status as a covered veteran or any other basis of discrimination prohibited by applicable local, state, or federal law. No question in our application process is used for the process of limiting or excluding any applicant's consideration for employment on such grounds.

100% paid medical/vision/dental for employee only plans with up to 2,400 funding towards HSA.

401(K) with employer match.

Employee Assistance Program.

A positive work culture of high integrity team members.

Opportunities for career development and training .

A healthy work life balance including quarterly wellness days.

The above statements are intended to describe the general nature and level of work for the position. They are not to be construed as an exhaustive list of all the responsibilities, duties, and skills required . All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed. All job descriptions are subject to change. Job functions and/or responsibilities can be amended at any time at management’s discretion.

Denver Headquarters, Greenwood Village, Colorado, United States of America

Job Description:

The Los Angeles Unified School District seeks qualified proposers to provide Data Science Services on behalf of the Information Technology Services.

Responsibilities:

1. Set up R Studio Workbench, Connect, and Package Manager on a Linux server.
2. Manage libraries and versions.
3. Write required security plan.
4. Work with security to connect the server to Snowflake and other data sources.
5. Provision server access to data scientists, including R Studio Server, sftp, and command line.
6. Provide training and support to data scientists, including training on visualization packages like ggplot2, Quatro, and Shiny.
7. Guide data scientists on how to use version control with GIT/Azure Devops.
8. Resource must have at least three (3) years of experience in providing services as listed.

Job Description:

The Los Angeles Unified School District seeks qualified proposers to provide Data Science Services on behalf of the Information Technology Services.

Responsibilities:

1. Set up R Studio Workbench, Connect, and Package Manager on a Linux server.
2. Manage libraries and versions.
3. Write required security plan.
4. Work with security to connect the server to Snowflake and other data sources.
5. Provision server access to data scientists, including R Studio Server, sftp, and command line.
6. Provide training and support to data scientists, including training on visualization packages like ggplot2, Quatro, and Shiny.
7. Guide data scientists on how to use version control with GIT/Azure Devops.
8. Resource must have at least three (3) years of experience in providing services as listed.