11,480 Artificial Intelligence And Automation jobs in the United States

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.

**Summary:**
We're looking for a seasoned analytics leader to drive data-informed decisions for Meta. You will play a critical role in helping Meta build the platforms of the future. You will partner with the product and business teams that build and grow our infrastructure for the future of Meta. You will be focused on results, be proactive, deliver rigorous analyses, and use data to drive change in products, strategies, and organizations.About the role:People leadership: You will inspire, lead and grow a world-class team.Product leadership: You will use data to shape development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a broad toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
**Required Skills:**
Data Science Director Responsibilities:
1. Inspire, lead and grow a distributed team of data scientists and data science leaders across North America
2. Apply your expertise in quantitative analysis, data mining, and the presentation of data in developing data-informed strategies for growing and improving our product offerings.
3. Contribute to long-term technical vision and strategy methods and metrics that will improve the quality and efficiency of our products at scale.
4. Lead development and communication of product area insights and recommended action items with Meta Analytics leadership.
**Minimum Qualifications:**
Minimum Qualifications:
5. 10+ years of work experience managing analytics teams, working collaboratively with Product and Infrastructure teams, and guiding data-influenced product and business planning, prioritization and strategy development.
6. Demonstrated experience in hiring, retaining and scaling geographically dispersed, high-performing teams with a broad range of experiences, perspectives, approaches, and backgrounds
7. Proven experience influencing strategy and driving change across org boundaries through clear and compelling communication of data-driven insights and analyses.
8. Intellectual curiosity, drive, and decisiveness with ambiguous and complex enviornments.
9. Experience working effectively with multiple stakeholders and cross-functionally.
10. Effective communication skills.
**Preferred Qualifications:**
Preferred Qualifications:
11. Experience with both product and business analytics work and demonstrated to deliver an integrated approach.
**Public Compensation:**
$253,000/year to $314,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

Many structural heart patients suffer from heart failure with limited options. Our Implantable Heart Failure Management (IHFM) team is at the forefront of addressing these unmet patient needs through pioneering technology that enables early, targeted therapeutic intervention. Our innovative solutions are not just transforming patient care but also creating a unique and exciting environment for our team members. It's our driving force to help patients live longer and healthier lives. Join us and be part of our inspiring journey.
**How you will make an impact:**
Looking for an enthusiastic and motivated manager for our growing Data Science Team. We have a constantly growing, unique and rich healthcare dataset and have big plans to leverage this for the betterment of our patients. Adopting a largely greenfield infrastructure & barebones group; build, mold & grow them into your ideal team. This is a very novel opportunity to lead the development of innovative solutions with massive impact on patients' daily lives.
This is a people management role with the Data Science Manager tasked with building, leading and daily management of the Data Science team. This will encompass all aspects to ensure the success of the team in building new algorithms and models for internal use or deployed as product features for clinicians or patients. The manager will give direction, guidance and structure to the team while being at the center of hypothesis testing and experimentation. You will be empowered to deliver innovative, insightful & impactful features and projects. Additional Roles/Responsibilities:
+ Hire, build and grow the data science team. Multiple expansion requisitions approved for FY'25
+ Manage, mentor and guide team members to excel at their roles. Build upon your own deep technical strengths to impart insight and guidance to the team. Contribute and constructively challenge technical proposals & requests.
+ Handle team career development and annual reviews.
+ Own the Data Science roadmap & project backlog. Use your project management skills to steer, manage and prioritize the Data Science Teams workload & projects.
+ Aid distillation of complex technical approaches and progress into digestible presentations and updates to management & senior leadership.
+ Liaise with immediate teams (Data Engineering, Data Analytics) and external groups to understand needs and requests while progressing your team's needs.
+ Demonstrate good data governance practices and approaches equivalent to the risks and needs of the team.
+ Ensure the highest levels of confidentiality and sensitivity for dealing with Patient Health Information (PHI)
**What you'll need (Required):**
+ Bachelor's Degree in Computer Science, Engineering, Biostatistics or Scientific field including either industry or industry/education **-OR-** Master's Degree or equivalent in Computer Science, Engineering, Biostatistics or Scientific field including either industry or industry/education **-OR-** Ph.D. or equivalent in Computer Science, Engineering, Biostatistics or Scientific field including either industry or industry/education
+ Experience in technical leadership or management role
+ Previous hands-on knowledge of mathematical principals, Statistics, Data Analytics and Data Science principles and their use with building models and insights
**What else we look for (Preferred):**
+ Experience as a Data Scientist, Statistician or other technical data related role strongly preferred
+ Expert understanding of related aspects of machine learning, data science and artificial intelligence processes and/or systems
+ Hands-on experience with working and analyzing clinical or patient data (an advantage)
+ Demonstrated ability to manage one or more teams and provide coaching and feedback, including responsibility for all employee actions including hire/fire authority and partnering with HR on all aspects of employee relations (Experience leading Data Science, Data Analytics or Software Management teams is strongly preferred).
+ Ability to develop and integrate metrics into the projects and operations that clearly demonstrate the value of machine learning, data science and artificial intelligence to the business
+ Strict attention to detail
+ Ability to interact professionally with all organizational levels
+ Ability to work and excel within a fast paced, dynamic, and constantly changing work environment
+ Ability to frequently interacts with internal and external management and senior-level stakeholders concerning projects, operational decisions, scheduling requirements, and/or contractual clarifications
+ Ability to provide leadership and direction to cross-functional teams to successfully implement global enterprise systems and related solutions
+ Adhere to all company rules and requirements (e.g., pandemic protocols, Environmental Health & Safety rules) and take adequate control measures in preventing injuries to themselves and others as well as to the protection of environment and prevention of pollution under their span of influence/control
Aligning our overall business objectives with performance, we offer competitive salaries, performance-based incentives, and a wide variety of benefits programs to address the diverse individual needs of our employees and their families.
For Illinois (IL), the base pay range for this position is $118,000 to $167,000 (highly experienced). The pay for the successful candidate will depend on various factors (e.g., qualifications, education, prior experience). Applications will be accepted while this position is posted on our Careers website.
Edwards is an Equal Opportunity/Affirmative Action employer including protected Veterans and individuals with disabilities.
**COVID Vaccination Requirement**
Edwards is committed to protecting our vulnerable patients and the healthcare providers who are treating them. As such, all patient-facing and in-hospital positions require COVID-19 vaccination. If hired into a covered role, as a condition of employment, you will be required to submit proof that you have been vaccinated for COVID-19, unless you request and are granted a medical or religious accommodation for exemption from the vaccination requirement. This vaccination requirement does not apply in locations where it is prohibited by law to impose vaccination.

Many structural heart patients suffer from heart failure with limited options. Our Implantable Heart Failure Management (IHFM) team is at the forefront of addressing these unmet patient needs through pioneering technology that enables early, targeted therapeutic intervention. Our innovative solutions are not just transforming patient care but also creating a unique and exciting environment for our team members. It's our driving force to help patients live longer and healthier lives. Join us and be part of our inspiring journey.
**How you will make an impact:**
Looking for an enthusiastic and motivated manager for our growing Data Science Team. We have a constantly growing, unique and rich healthcare dataset and have big plans to leverage this for the betterment of our patients. Adopting a largely greenfield infrastructure & barebones group; build, mold & grow them into your ideal team. This is a very novel opportunity to lead the development of innovative solutions with massive impact on patients' daily lives.
This is a people management role with the Data Science Manager tasked with building, leading and daily management of the Data Science team. This will encompass all aspects to ensure the success of the team in building new algorithms and models for internal use or deployed as product features for clinicians or patients. The manager will give direction, guidance and structure to the team while being at the center of hypothesis testing and experimentation. You will be empowered to deliver innovative, insightful & impactful features and projects. Additional Roles/Responsibilities:
+ Hire, build and grow the data science team. Multiple expansion requisitions approved for FY'25
+ Manage, mentor and guide team members to excel at their roles. Build upon your own deep technical strengths to impart insight and guidance to the team. Contribute and constructively challenge technical proposals & requests.
+ Handle team career development and annual reviews.
+ Own the Data Science roadmap & project backlog. Use your project management skills to steer, manage and prioritize the Data Science Teams workload & projects.
+ Aid distillation of complex technical approaches and progress into digestible presentations and updates to management & senior leadership.
+ Liaise with immediate teams (Data Engineering, Data Analytics) and external groups to understand needs and requests while progressing your team's needs.
+ Demonstrate good data governance practices and approaches equivalent to the risks and needs of the team.
+ Ensure the highest levels of confidentiality and sensitivity for dealing with Patient Health Information (PHI)
**What you'll need (Required):**
+ Bachelor's Degree in Computer Science, Engineering, Biostatistics or Scientific field including either industry or industry/education **-OR-** Master's Degree or equivalent in Computer Science, Engineering, Biostatistics or Scientific field including either industry or industry/education **-OR-** Ph.D. or equivalent in Computer Science, Engineering, Biostatistics or Scientific field including either industry or industry/education
+ Experience in technical leadership or management role
+ Previous hands-on knowledge of mathematical principals, Statistics, Data Analytics and Data Science principles and their use with building models and insights
**What else we look for (Preferred):**
+ Experience as a Data Scientist, Statistician or other technical data related role strongly preferred
+ Expert understanding of related aspects of machine learning, data science and artificial intelligence processes and/or systems
+ Hands-on experience with working and analyzing clinical or patient data (an advantage)
+ Demonstrated ability to manage one or more teams and provide coaching and feedback, including responsibility for all employee actions including hire/fire authority and partnering with HR on all aspects of employee relations (Experience leading Data Science, Data Analytics or Software Management teams is strongly preferred).
+ Ability to develop and integrate metrics into the projects and operations that clearly demonstrate the value of machine learning, data science and artificial intelligence to the business
+ Strict attention to detail
+ Ability to interact professionally with all organizational levels
+ Ability to work and excel within a fast paced, dynamic, and constantly changing work environment
+ Ability to frequently interacts with internal and external management and senior-level stakeholders concerning projects, operational decisions, scheduling requirements, and/or contractual clarifications
+ Ability to provide leadership and direction to cross-functional teams to successfully implement global enterprise systems and related solutions
+ Adhere to all company rules and requirements (e.g., pandemic protocols, Environmental Health & Safety rules) and take adequate control measures in preventing injuries to themselves and others as well as to the protection of environment and prevention of pollution under their span of influence/control
Aligning our overall business objectives with performance, we offer competitive salaries, performance-based incentives, and a wide variety of benefits programs to address the diverse individual needs of our employees and their families.
For Illinois (IL), the base pay range for this position is $118,000 to $167,000 (highly experienced). The pay for the successful candidate will depend on various factors (e.g., qualifications, education, prior experience). Applications will be accepted while this position is posted on our Careers website.
Edwards is an Equal Opportunity/Affirmative Action employer including protected Veterans and individuals with disabilities.
**COVID Vaccination Requirement**
Edwards is committed to protecting our vulnerable patients and the healthcare providers who are treating them. As such, all patient-facing and in-hospital positions require COVID-19 vaccination. If hired into a covered role, as a condition of employment, you will be required to submit proof that you have been vaccinated for COVID-19, unless you request and are granted a medical or religious accommodation for exemption from the vaccination requirement. This vaccination requirement does not apply in locations where it is prohibited by law to impose vaccination.

Description We are looking for a skilled Data Science Manager to lead data-driven initiatives and oversee the transformation of raw data into actionable insights for operational and strategic decision-making. Based in Highlands Ranch, Colorado, this role combines leadership responsibilities with hands-on expertise in data warehousing, analytics, and business intelligence. The ideal candidate will have a strong technical background and the ability to manage a small team while driving innovation in data solutions.
Responsibilities:
- Oversee the management and optimization of data warehouses, ensuring streamlined storage and accessibility for analytics and reporting.
- Develop and apply business logic to raw data fields to generate meaningful insights for field operations and decision-making.
- Lead the creation and implementation of advanced reporting solutions using tools such as Power BI, Tableau, and Sigma.
- Collaborate with stakeholders to understand data requirements and provide customized analytics to support revenue reporting.
- Utilize Snowflake and Python scripting to enhance data lake functionalities and support scalable data solutions.
- Supervise and mentor a direct report, fostering growth and ensuring alignment with organizational goals.
- Design and implement ETL processes to transform and load data efficiently across multiple platforms.
- Apply expertise in BI engineering to develop and maintain robust business intelligence frameworks.
- Integrate tools like Apache Spark, Hadoop, and Kafka to optimize data processing and analytics workflows.
- Partner with leadership teams to align data strategies with organizational growth objectives. Requirements - Proven experience with data warehousing and business intelligence tools such as Power BI, Tableau, and Sigma.
- Strong knowledge of Snowflake and Python scripting for data lake and analytics applications.
- Familiarity with ETL processes and expertise in tools like Apache Spark, Hadoop, and Kafka.
- Hands-on experience in revenue reporting environments and advanced analytics.
- Solid understanding of SQL and Six Sigma methodologies for process improvement.
- Demonstrated ability to manage and mentor team members effectively.
- Background in BI engineering and designing scalable data solutions.
- Excellent communication skills to collaborate with cross-functional teams and leadership. Technology Doesn't Change the World, People Do.®
Robert Half is the world's first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.
Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app ( and get 1-tap apply, notifications of AI-matched jobs, and much more.
All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.
© 2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking "Apply Now," you're agreeing to Robert Half's Terms of Use ( .

**Summary:**
We're looking for a seasoned analytics leader to drive data-informed decisions for Meta. You will play a critical role in helping Meta build the platforms of the future. You will partner with the product and business teams that build and grow our infrastructure for the future of Meta. You will be focused on results, be proactive, deliver rigorous analyses, and use data to drive change in products, strategies, and organizations.About the role:People leadership: You will inspire, lead and grow a world-class team.Product leadership: You will use data to shape development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a broad toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
**Required Skills:**
Data Science Director Responsibilities:
1. Inspire, lead and grow a distributed team of data scientists and data science leaders across North America
2. Apply your expertise in quantitative analysis, data mining, and the presentation of data in developing data-informed strategies for growing and improving our product offerings.
3. Contribute to long-term technical vision and strategy methods and metrics that will improve the quality and efficiency of our products at scale.
4. Lead development and communication of product area insights and recommended action items with Meta Analytics leadership.
**Minimum Qualifications:**
Minimum Qualifications:
5. 10+ years of work experience managing analytics teams, working collaboratively with Product and Infrastructure teams, and guiding data-influenced product and business planning, prioritization and strategy development.
6. Demonstrated experience in hiring, retaining and scaling geographically dispersed, high-performing teams with a broad range of experiences, perspectives, approaches, and backgrounds
7. Proven experience influencing strategy and driving change across org boundaries through clear and compelling communication of data-driven insights and analyses.
8. Intellectual curiosity, drive, and decisiveness with ambiguous and complex enviornments.
9. Experience working effectively with multiple stakeholders and cross-functionally.
10. Effective communication skills.
**Preferred Qualifications:**
Preferred Qualifications:
11. Experience with both product and business analytics work and demonstrated to deliver an integrated approach.
**Public Compensation:**
$253,000/year to $314,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at