6,501 AI jobs in the United States

Position- Data Science
Duration-Contract
Location- Cupertino, CA

JD

• Data Scientist with strong Statistical Fundamentals learning Python with Pandas and NumPy Experience Strong Visualization
• Experience Strong understanding of Data Science Cycle OOP
• Python with Scientific and mathematical Experience and state Experience Need
• Digital : Data Visualization, Python for Data Science, Object Oriented Programming, Statistics & Analytics

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Organization Overview
The newly-created Data Science Platform (DSP) supports and advances the research objectives of Rockefeller Universitys faculty and staff by providing training and consultative support in the field of data science especially in the areas of machine learning and artificial intelligence (ML/AI) and deep learning (DL).
Overview
Reporting to the Chief Information Officer, and working primarily with Faculty, Research Staff, Postdoctoral Fellows, and Graduate Students, the Director leads a team of seven (7) Machine Learning Engineers that identify and work closely with internal and external resources to determine how to most effectively support University researchers' needs for applying ML/AI and/or other quantitative approaches to new and existing data sets across a wide variety of disciplines, including structural biology, imaging, microscopy, "omics," neuroscience, immunology/virology, and the physical sciences. The position also includes leadership of the Fisher Center AI Platform, which seeks to apply AI/ML techniques to understand the causes of Alzheimer's disease, improve the care of people living with it, and find a cure.
Responsibilities
Responsibilities include, but are not limited to the following:
+ Consult on experimental design and best usage, with emphasis on best practices for proper analysis and reproducibility;
+ Recruit and manage Data Science Platform staff members;
+ Develop and lead training/classes in ML/AI fundamentals and techniques; adapt and evolve training to best serve the changing needs of the research community;
+ Identify, improve, and/or create appropriate training data sets for ML/AI projects;
+ Advise researchers and collaborators on method selection and implementation, as well as on how to direct research projects to ensure alignment with emerging advancements in deep learning;
+ Maintain awareness of advances in the field and their applicability to problems of interest to members of Rockefeller's research community;
+ Identify and apply for appropriate grant funding opportunities;
+ Additional duties and special projects as assigned.
Qualifications
**REQUIRED QUALIFICATIONS:**
+ Ph.D. or equivalent degree in data science, machine learning, artificial intelligence, computer science, electrical engineering, statistics or a related field.
+ A minimum of ten (10) years of research experience in identifying, formulating and solving biological problems through the application of advanced artificial intelligence technologies.
+ At least two (2) years of leadership experience.
+ A strong publication record in top-tier venues focused on machine learning, artificial intelligence or their domain-specific applications, such as AAAI, NeurIPS, ICML, ICLR, IJCAI, KDD, ICCV, ECCV, CVPR, EMNLP, ACL, MICCAI, IJCV, TPAMI, TIP, ACM-MM, Nature, Nature Methods, Science and equivalent conferences and journals.
+ Broad knowledge on recent advances in artificial intelligence, such as foundation models (including large-language models, vision-language models, genomic foundation models, etc.), generative models, self-supervised learning, large-scale distributed training, efficient deep learning, with research expertise in at least one relevant field.
+ Basic knowledge of the deep learning tool stack, such as PyTorch, Python, CUDA, Linux, and computing cluster management.
+ Must possess excellent communication and interpersonal skills.
**PREFERRED QUALIFICATIONS:**
+ Prior work experience in a research related, academic environment is a plus.
The Rockefeller University is an equal opportunity employer - veterans/individuals with disabilities. Qualified applicants will receive consideration for employment without regard to characteristics protected by applicable local, state or federal law, including but not limited to disability and protected veteran status.
The salary of the finalist selected for this role will be set based on various factors, including but not limited to organizational budgets, qualifications, experience, education, licenses, specialty, and training. The hiring range provided represents The Rockefeller University's good faith and reasonable estimate of the range of possible compensation at the time of posting.
Compensation Range: Min
USD $175,000.00/Yr.
Compensation Range: Max
USD $190,000.00/Yr.

Job Description:

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

Responsibilities:

• Set up R Studio Workbench, Connect, and Package Manager on a Linux server.

• Manage libraries and versions.

• Write required security plan.

• Work with security to connect the server to Snowflake and other data sources.

• Provision server access to data scientists, including R Studio Server, sftp, and command line.

• Provide training and support to data scientists, including training on visualization packages like ggplot2, Quatro, and Shiny.

• Guide data scientists on how to use version control with GIT/Azure Devops.

• Resource must have at least three (3) years of experience in providing services as listed

In support of the Joint Navigation Warfare Center (JNWC) contract, you will be part of our team’s efforts to empower the Department of Defense’s navigation warfare (NAVWAR) mission to ensure positioning, navigation, and navigation timing superiority. Our mission is to provide combatant commanders and joint force commanders with subject matter expertise on planning and conducting NAVWAR by providing knowledge of friendly and enemy NAVWAR Order of Battle and PNT-related successes and threats.

More about this specific role

As a Data Science Analyst in the Joint Navigation Warfare Center (JNWC) you will help empower the Department of Defense’s navigation warfare (NAVWAR) mission ensuring positioning, navigation and timing superiority. You will serve a s a member of a team providing combatant commanders and joint force commanders with subject matter expertise on planning and conducting NAVWAR by providing knowledge of friendly and enemy NAVWAR order of battle and PNT-related successes and threats.  You will support the Government with the integration, at the theater strategic level, of C4, cyber, and cyberspace operations into JNWC's strategic and operational objectives.  

Responsibilities

• You will utilize classified and unclassified analytical tools and expert analysis to support regional and global threat assessments to facilitate understanding of the threat picture.
• Oversee and support delivering multi‐layered, multi-intelligence research products focused on existing, evolving, and emerging improvised threats.
• Provide detailed threat analysis and assessments against various national and global threats to identify risks, gaps, and vulnerabilities and recommend countermeasures.
• Utilize tools and tradecraft to provide timely, relevant, and understandable analysis and intelligence material to inform decision‐makers and influence outcomes.
• Assist supported unit intelligence personnel in carrying out assigned tasks.
• Work closely with other Analysts, Planners, and Integrators in developing a range of operations and intelligence products and material and training solutions.
• Provide consistent real‐time updates of current analyses and assessments to existing Intel databases.
• Ensures coordination with higher headquarters, Intelligence Community, Allies, and Partner Nations.
• The position may require CONUS/OCONUS travel and shiftwork supporting operations, exercises, and conferences
• Due to the nature of the position, if selected, you will be subject to a government security investigation and must meet eligibility requirements for access to classified information

Qualifications

• You must be a US citizen
• You must be able to obtain an i nterim Secret clearance to start with a pathway to achieving TS+SCI.
• 5 Years of relevant experience
• Experience conducting multi‐discipline intelligence analysis
• Experience conducting Analysis in a deployed PNT environment
• Experience providing Analytical support to operations
• BA/BS in business, math, statistics, data science, computer science, engineering, or other related field

These Qualifications Would be Nice to Have

• MA/MS in a related field
• Graduate of a military Intermediate Level Education (ILE) course (e.g. Army Command and General Staff College or another service equivalent)
• Graduate of a Joint Professional Military Education (JPME) course (e.g. Naval Command and Staff or another service equivalent)
• Graduate of the School of Advanced Military Studies (SAMS) or a Joint War College

Salary Max : 103K 

BlueHalo, an AV company pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Determination of official compensation or salary relies on several factors including, but not limited to, level of position, job responsibilities, geographic location, scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements, alignment with local internal equity as well as alignment with market data. 

Our compensation package also includes components designed to support employees’ total well-being, which should be considered when evaluating our competitive benefits package. These benefits include health insurance, life insurance, disability, company holiday and paid time off, parental leave, 401(k) company match and contributions, professional development/training reimbursements, and other work/life programs.

Education Required

• Bachelors or better

Licenses & Certifications Required

• Top Secret SCI

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

Harness the power of data science to solve the world’s most challenging problems by developing your skills in predictive modeling, pattern recognition, data visualization, wrangling massive data sets, forecasting trends, and informing strategy across diverse industries like public policy, robotics, and FinTech.

Get the tech skills, career coaching and networking opportunities to become job ready for a career in Data Science, in as little as three months, with little or no previous experience.

Preferred candidates - Actuary, finance, consulting, research, teacher, statistics.

Harness the power of data science to solve the world’s most challenging problems by developing your skills in predictive modeling, pattern recognition, data visualization, wrangling massive data sets, forecasting trends, and informing strategy across diverse industries like public policy, robotics, and FinTech.

Get the tech skills, career coaching and networking opportunities to become job ready for a career in Data Science, in as little as three months, with little or no previous experience.

Preferred candidates - Actuary, finance, consulting, research, teacher, statistics.

Harness the power of data science to solve the world’s most challenging problems by developing your skills in predictive modeling, pattern recognition, data visualization, wrangling massive data sets, forecasting trends, and informing strategy across diverse industries like public policy, robotics, and FinTech.

Get the tech skills, career coaching and networking opportunities to become job ready for a career in Data Science, in as little as three months, with little or no previous experience.

Preferred candidates - Actuary, finance, consulting, research, teacher, statistics.

Harness the power of data science to solve the world’s most challenging problems by developing your skills in predictive modeling, pattern recognition, data visualization, wrangling massive data sets, forecasting trends, and informing strategy across diverse industries like public policy, robotics, and FinTech.

Get the tech skills, career coaching and networking opportunities to become job ready for a career in Data Science, in as little as three months, with little or no previous experience.

Preferred candidates - Actuary, finance, consulting, research, teacher, statistics.

Harness the power of data science to solve the world’s most challenging problems by developing your skills in predictive modeling, pattern recognition, data visualization, wrangling massive data sets, forecasting trends, and informing strategy across diverse industries like public policy, robotics, and FinTech.

Get the tech skills, career coaching and networking opportunities to become job ready for a career in Data Science, in as little as three months, with little or no previous experience.

Preferred candidates - Actuary, finance, consulting, research, teacher, statistics.