10,365 Principal Data Scientist jobs in the United States

About Zscaler

Serving thousands of enterprise customers around the world including 45% of Fortune 500 companies, Zscaler (NASDAQ: ZS) was founded in 2007 with a mission to make the cloud a safe place to do business and a more enjoyable experience for enterprise users. As the operator of the world’s largest security cloud, Zscaler accelerates digital transformation so enterprises can be more agile, efficient, resilient, and secure. The pioneering, AI-powered Zscaler Zero Trust Exchange™ platform, which is found in our SASE and SSE offerings, protects thousands of enterprise customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.

Named a Best Workplace in Technology by Fortune and others, Zscaler fosters an inclusive and supportive culture that is home to some of the brightest minds in the industry. If you thrive in an environment that is fast-paced and collaborative, and you are passionate about building and innovating for the greater good, come make your next move with Zscaler.

Responsibilities:

As organizations increasingly embrace AI, our new product is designed to help them do so safely, securely, and responsibly. It provides a trusted platform that supports both user-driven and agentic AI—empowering individuals to harness AI for insights and productivity, while enabling autonomous agents to act within clearly defined ethical and operational boundaries. Built with enterprise-grade security, compliance, and transparency at its core, the product ensures that data privacy and governance are never compromised.

We’re looking for a Principal Data Scientist reporting into our Senior Director, Software Engineering. This is a green field opportunity to define and build a new class of market defining products. This is a remote position within the United States. In this role, you will:

• Design, build, and implement machine learning models, including SLMs/LLMs, to enhance the intelligence and functionality of Zscaler’s internal and external platforms.

• Conduct research and development in sophisticated AI/ML areas such as generative AI, predictive analytics, and anomaly detection.

• Analyze complex datasets to extract key insights, continuously refining model accuracy and performance.

• Collaborate with engineering and product teams to effectively integrate AI/ML technologies into Zscaler’s core solutions.

• Stay current with advancements in ML, AI, and cybersecurity, applying specific knowledge of underlying frameworks and methodologies to ensure technical excellence.

What We're Looking for (Minimum Qualifications):

• Possess an advanced degree (PhD preferred) in Computer Science, Machine Learning, Statistics, or a related field, combined with a strong understanding of ML algorithms, deep learning, neural networks, and their applications.

• Demonstrated experience (3-5+ years) in applying diverse data science models and advanced Natural Language Processing (NLP) techniques for large-scale data analysis.

• Proficiency in Python and SQL, with hands-on experience using key ML frameworks (e.g., TensorFlow, PyTorch).

• Skilled in data manipulation, visualization, and analysis techniques and tools.

• Proven ability to independently solve complex problems and collaborate effectively within a team environment.

What Will Make You Stand Out (Preferred Qualifications):

• Possess a strong foundation in mathematics and statistics, applying these to ML and AI, with hands-on experience in large generative models for text and image.

• Proficient in cloud computing platforms (AWS, Azure, GCP), big data technologies (Hadoop, Spark), and data engineering principles, including SQL and NoSQL databases.

• Expertise in deploying scalable machine learning models to production environments, complemented by knowledge of advanced AI protocols such as A2A, Agentic AI, and MCP.

#LI-BH1

#LI-Remote

Zscaler’s salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training.

The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits.

Base Pay Range

$182,000—$260,000 USD

At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.

Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:

• Various health plans

• Time off plans for vacation and sick time

• Parental leave options

• Retirement options

• Education reimbursement

• In-office perks, and more!

Learn more about Zscaler’s Future of Work strategy, hybrid working model, and benefits here ( .

By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.

Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal ( link.

Pay Transparency

Zscaler complies with all applicable federal, state, and local pay transparency rules.

Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

About Zscaler

Serving thousands of enterprise customers around the world including 45% of Fortune 500 companies, Zscaler (NASDAQ: ZS) was founded in 2007 with a mission to make the cloud a safe place to do business and a more enjoyable experience for enterprise users. As the operator of the world’s largest security cloud, Zscaler accelerates digital transformation so enterprises can be more agile, efficient, resilient, and secure. The pioneering, AI-powered Zscaler Zero Trust Exchange™ platform, which is found in our SASE and SSE offerings, protects thousands of enterprise customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.

Named a Best Workplace in Technology by Fortune and others, Zscaler fosters an inclusive and supportive culture that is home to some of the brightest minds in the industry. If you thrive in an environment that is fast-paced and collaborative, and you are passionate about building and innovating for the greater good, come make your next move with Zscaler.

Responsibilities:

As organizations increasingly embrace AI, our new product is designed to help them do so safely, securely, and responsibly. It provides a trusted platform that supports both user-driven and agentic AI—empowering individuals to harness AI for insights and productivity, while enabling autonomous agents to act within clearly defined ethical and operational boundaries. Built with enterprise-grade security, compliance, and transparency at its core, the product ensures that data privacy and governance are never compromised.

We’re looking for a Principal Data Scientist reporting into our Senior Director, Software Engineering. This is a green field opportunity to define and build a new class of market defining products. This is a remote position within the United States. In this role, you will:

• Design, build, and implement machine learning models, including SLMs/LLMs, to enhance the intelligence and functionality of Zscaler’s internal and external platforms.

• Conduct research and development in sophisticated AI/ML areas such as generative AI, predictive analytics, and anomaly detection.

• Analyze complex datasets to extract key insights, continuously refining model accuracy and performance.

• Collaborate with engineering and product teams to effectively integrate AI/ML technologies into Zscaler’s core solutions.

• Stay current with advancements in ML, AI, and cybersecurity, applying specific knowledge of underlying frameworks and methodologies to ensure technical excellence.

What We're Looking for (Minimum Qualifications):

• Possess an advanced degree (PhD preferred) in Computer Science, Machine Learning, Statistics, or a related field, combined with a strong understanding of ML algorithms, deep learning, neural networks, and their applications.

• Demonstrated experience (3-5+ years) in applying diverse data science models and advanced Natural Language Processing (NLP) techniques for large-scale data analysis.

• Proficiency in Python and SQL, with hands-on experience using key ML frameworks (e.g., TensorFlow, PyTorch).

• Skilled in data manipulation, visualization, and analysis techniques and tools.

• Proven ability to independently solve complex problems and collaborate effectively within a team environment.

What Will Make You Stand Out (Preferred Qualifications):

• Possess a strong foundation in mathematics and statistics, applying these to ML and AI, with hands-on experience in large generative models for text and image.

• Proficient in cloud computing platforms (AWS, Azure, GCP), big data technologies (Hadoop, Spark), and data engineering principles, including SQL and NoSQL databases.

• Expertise in deploying scalable machine learning models to production environments, complemented by knowledge of advanced AI protocols such as A2A, Agentic AI, and MCP.

#LI-BH1

#LI-Remote

Zscaler’s salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training.

The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits.

Base Pay Range

$182,000—$260,000 USD

At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.

Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:

• Various health plans

• Time off plans for vacation and sick time

• Parental leave options

• Retirement options

• Education reimbursement

• In-office perks, and more!

Learn more about Zscaler’s Future of Work strategy, hybrid working model, and benefits here ( .

By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.

Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal ( link.

Pay Transparency

Zscaler complies with all applicable federal, state, and local pay transparency rules.

Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

Build the Future
At McGraw Hill we create best-in-class, next-generation learning experiences that are used by millions of students and educators worldwide every day. We design intuitive and effective tools that maximize teachers' time and students' learning. And we do all of this in a supportive and collaborative environment where we work alongside brilliant colleagues, touch lives around the world, see the difference our hard work makes, and continue on our own paths of lifelong learning.

How can you make an impact?

As a Principal Data Scientist on the Enterprise AI team, you will be a senior member of a team of data scientists, AI researchers, software developers, and psychometricians who provide technical and scientific leadership for some of our most important strategic efforts companywide. You will help this team deliver cutting-edge data science and/or Artificial Intelligence (DS/AI) solutions, and you will collaborate closely with colleagues across functions like Product, Engineering, Learning Design, and User Experience to help McGraw Hill create and deliver world-class educational experiences. This role requires a deep understanding of large language model (LLM) principles and hands-on experience with generative AI frameworks, such as Lang Chain and Llama Index. A passion for education and staying current on advancements in generative AI is essential.

This is a remote position open to applicants authorized to work for any employer within the United States.

What You'll Do:

• Lead the design and implementation of technical solutions in alignment with organizational goals.
• Define projects for the team, and maintain an overview of different projects and timelines.
• Collaborate with other departments and stakeholders to identify data science needs, define project requirements, and ensure data science and psychometric initiatives are aligned with business objectives.
• Present findings and recommendations to key stakeholders.
• Apply DS/AI knowledge to independently define and resolve complex problems, including when there is limited information or precedent.
• Develop scalable and efficient production-level code using tools such as Python.

What You Bring:

• Ph.D. or equivalent in Data Science, Applied Mathematics, Statistics, or a related field
• 2-5 years of experience as Principal Data Scientist or 6-10 years as Sr. Data Scientist
• Recognized expertise in at least one area of DS/AI through academic and industry work
• Demonstrated technical leadership, including the ability to independently define, lead, and successfully complete projects
• Clear communication and effective collaboration that drives business results
• Deep knowledge and practical experience with production-scale DS/AI systems
• Recent focus on generative AI, including hands-on experience with applying LLM orchestration frameworks (e.g., LangChain, LlamaIndex)
• Understanding of complex GenAI architectures and experience with guarding, scaling, monitoring, and maintaining these systems
• Experience supporting DS/AI systems across stages of the Machine Learning Operations/LLM Operations lifecycle at enterprise scale
• Passion for technology and commitment to staying current on generative AI advancements
• Affinity for education and delivering business value through AI solutions
• Proficiency in Python (10+ years), with the ability to write scalable, production-level code

Preferred Experience & Skills:

• Experience with LangChain/Lang Smith
• Affinity for education
• Experience with educational data

Why work for us?

The work you do at McGraw Hill will be work that matters. We are collectively building experiences that will help shape the future of education. Play your part and experience a sense of fulfilment that will inspire you to even greater heights.

The pay range for this position is between $162,250 - $190,000 annually, however, base pay offered may vary depending on job-related knowledge, skills, experience, and location. An annual bonus plan may be provided as part of the compensation package, in addition to a full range of medical and/or other benefits, depending on the position offered. Click here to learn more about our benefit offerings.

McGraw Hill recruiters always use a "@mheducation.com" email address and/or from our Applicant Tracking System, iCIMS. Any variation of this email domain should be considered suspicious. Additionally, McGraw Hill recruiters and authorized representatives will never request sensitive information in email.

McGraw Hill uses an automated employment decision tool (AEDT) to assist in the screening process by recommending candidates with "like skills" based on resume and job data. To request an alternative screening process, please select "Opt-Out" when asked to "Consent to use of Automated Employment Decision Tools" during the application.

Our Company

Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

The Opportunity

Join a high-impact team driving product growth and innovation at scale! The Express Data Science team is looking for a Principal Data Scientist, who thrives at the intersection of data, product, and strategy to help us unlock growth opportunities for Adobe Express.

For the next phase of Express Growth, we need a Data Science Leader that will lead Strategic Growth Levers, innovate and drive experimentation at scale, set the standard for Technical leadership and rigor within growth, and influence the broader org in the process. We need a leader for ambiguous, high-impact growth bets-connecting user behavior to business outcomes, while managing multiple workstreams together.

What You'll Do

• Identifying Growth Levers using Data - Lead growth opportunity identification across user lifecycle driving product engagement, improving retention and premium enablement.
• Build the next generation of experimentation beyond A/B tests to a fast, scalable and rigorous system - and synthesize takeaways across tests into durable product direction within the growth and data science. Partner with other data teams to innovate.
• Introduce new technologies and techniques within experimentation for the product, enhance experimentation strategy for Express, and drive efficiency and measurement at scale.
• Sets the bar for measurement quality, signal detection, and interpretability of results.
• Work with cross functional teams within express to bring consistency to experimentation architecture, success metric definitions, and analytic tooling.
• Ensures the team scales not just in size, but also in maturity and decision making
• Lead high-priority analytics projects that influence product direction and business strategy.
• Analyze user engagement, retention, and conversion data to surface actionable insights.
• Design and analyze tests to guide product development and optimize user experiences.
• Mentor junior team members and elevate data culture across the org.

What You'll Bring

• 10+ years of experience in product data science.
• Proven experience in experimentation
• Deep fluency in SQL and proficiency in Python or R.
• Demonstrates deep understanding of industry standards - Experience building causal and predictive models and working with large-scale behavioral datasets.
• Experience leading technical teams and driving data rigor
• Experience with Adobe Analytics, Amplitude, Tableau / Power BI
• A strategic approach with a bias for action and measurable outcomes.
• Strong communication skills-you simplify complexity and drive clarity.

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

State-Specific Notices:

California:

Fair Chance Ordinances

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.

Colorado:

Application Window Notice

If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

Massachusetts:

Massachusetts Legal Notice

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Adobe is proud to be anEqual Employment Opportunityemployer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law.Learn more.

Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, call ( .

Job DescriptionJob Description

MediaAlpha is a customer acquisition solutions provider powered by technology and data science. The company provides industry-leading solutions designed to reach consumers shopping within high-consideration categories such as property and casualty insurance, health insurance, life insurance, and more.

Hybrid: In-office Tuesday/ Wednesday

Our Principal Data Scientist will own the highest-stakes problems across our marketplace while partnering directly with product, engineering, and executive leadership.

This is a pure IC role (no direct reports), but this role will set technical direction, establish best practices, and mentor a team of senior data scientists . Success is measured by dollar impact, model reliability at scale, and the impact you deliver across multiple business units.

Responsibilities

• Architect and productionize advanced ML/AI solutions across our marketplace.
• Improve how we approach real-time auction pricing and LTV-driven bid optimization
• Master the MediaAlpha platform and collaborate with engineering to enhance our platform's analytical capabilities and build new data products.
• Act as "player-coach" for a team of Data Scientists

Requirements

• 10+ years of work experience in a Data Scientist or related role
• Bachelor's degree required, preferably in a quantitative discipline (e.g., economics, business, finance, math, engineering, statistics) or equivalent experience
• Proven experience leading cross-functional projects and working cross collaboratively with tech/engineering teams
• Demonstrated success deploying impactful code (e.g., predictive models, date pipelines, algorithms) to production environments with quantifiable business impact
• Expertise in applying statistical techniques to real-world business problems (e.g. designing tests/experiments and evaluating results)
• Proven track record of training and mentoring data scientists
• Advanced in Python and SQL
• Exceptional analytical skills and ability to synthesize large and disparate data sets
• Capacity to think critically and creatively, uncover problems, and propose solutions
• Excellent written and verbal communication skills
• Self-starter who takes initiative on all projects and strives to build and improve upon existing processes

Qualifications

• Experience with search, display, performance, and/or digital marketing
• Experience with real-time bidding
• Experience with R Shiny and Shiny Server
• Experience with Airflow

Compensation & Benefits

We are excited to offer a competitive base pay range of $133,000 to $47,000 per year for this position, based on experience and qualifications. But that's not all - as a valued member of our team, you will also have access to an array of top-notch benefits, including:

• Annual bonus program and participation in our Restricted Stock Unit program
• 100% Employer-paid health, dental, and vision insurance for you, your dependents, and spouse or registered domestic partner
• 100% Employer paid long term , and life insurance
• 401(k) retirement plan with matching contributions to help you plan for your future
• Open Paid Time Off policy with a birthday day off and 11 holidays
• Professional development reimbursement
• Cell Phone, Wellness, and Internet expense reimbursement, along with a subscription to the Calm App
• 100% fully paid parental leave for team members up to 22 weeks for the primary caregiver and 12 weeks for the secondary caregiver
• Dog-friendly offices (LA and AZ) along with a 300 pet adoption reimbursement

, Equity, and Inclusion

MediaAlpha is committed to fostering, cultivating, and maintaining a culture of , equity, and inclusion. Our philosophy and actions are built on the premise that as an employer and of our communities, we can create opportunities for lasting change.

Fair Chance

MediaAlpha will consider qualified applicants, including those with criminal histories, in a manner consistent with state and local "Fair Chance" laws. We are also committed to providing reasonable accommodations for qualified applicants with disabilities and disabled veterans in our application process. If you need assistance or an accommodation due to a , please contact us at or ( .

Job Description

Disney Studios is seeking a highly skilled and innovative full-Stack Principal Data Scientist to lead our data science initiatives and drive impactful insights across our studio operations.

As a Principal Data Scientist, you will play a crucial role in leveraging data to enhance decision making, optimize processes, and uncover opportunities for growth. You will collaborate with cross-functional teams to develop and implement data-driven strategies that align with our mission to create world-class content and entertainment experiences.

To be successful in this role, you should have a strong background in Machine Learning and experience with AI technologies. Our ideal candidate will have a passion for developing cutting-edge technology and the ability to think creatively to solve complex problems

Develop novel AI/ML solutions to further the companys mission of creating innovative and engaging content

Architect efficient data models and high-quality production pipelines and partner with Engineering for all necessary telemetry

Design, build, and deploy predictive models, machine learning algorithms, and statistical analyses to address complex business challenges.

Identify trends, patterns, and insights from large datasets to inform decision-making.

Work end to end from data collection, feature generation and selection, algorithm development, forecasting, visualization and communicating of model results

Think creatively to solve complex problems

Monitor and maintain the performance of ML models

Research and stay up-to-date on the latest AI/ML trends and technologies

Provide technical guidance and mentorship to other engineers

Collaborate with data engineering teams to ensure the quality and accessibility of data

Communicate insights and best practices in leadership

We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form ( . The EEOC "Know Your Rights" Poster is available here ( .

To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: .

Skills and Requirements

• MS/Ph.D. in quantitative discipline

• 10 plus years of experience in data science, with a proven track record of leading and delivering successful projects

• Proficiency in programming languages such as Python, R, or Scala

• Expert-level experience working with scikit-learn, NumPy, and pandas and other ML libraries.

• Solid understanding of ML technologies, models, mathematics and statistical methods

Work Location: Onsite Glendale Monday-Thursday Experience with cloud databases, such as Snowflake, databricks, and BigQuery is a plus null

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to

Principal Data Scientist

McGraw Hill

1 Positions

ID: 5916

Posted On 08/18/2025

Job Overview

Overview

Build the Future

At McGraw Hill we create best-in-class, next-generation learning experiences that are used by millions of students and educators worldwide every day. We design intuitive and effective tools that maximize teachers’ time and students’ learning. And we do all of this in a supportive and collaborative environment where we work alongside brilliant colleagues, touch lives around the world, see the difference our hard work makes, and continue on our own paths of lifelong learning.

How can you make an impact?

As a Principal Data Scientist on the Enterprise AI team, you will be a senior member of a team of data scientists, AI researchers, software developers, and psychometricians who provide technical and scientific leadership for some of our most important strategic efforts companywide. You will help this team deliver cutting-edge data science and/or Artificial Intelligence (DS/AI) solutions, and you will collaborate closely with colleagues across functions like Product, Engineering, Learning Design, and User Experience to help McGraw Hill create and deliver world-class educational experiences. This role requires a deep understanding of large language model (LLM) principles and hands-on experience with generative AI frameworks, such as Lang Chain and Llama Index. A passion for education and staying current on advancements in generative AI is essential.

This is a remote position open to applicants authorized to work for any employer within the United States.

What You'll Do:

• Lead the design and implementation of technical solutions in alignment with organizational goals.

• Define projects for the team, and maintain an overview of different projects and timelines.

• Collaborate with other departments and stakeholders to identify data science needs, define project requirements, and ensure data science and psychometric initiatives are aligned with business objectives.

• Present findings and recommendations to key stakeholders.

• Apply DS/AI knowledge to independently define and resolve complex problems, including when there is limited information or precedent.

• Develop scalable and efficient production-level code using tools such as Python.

What You Bring:

• Ph.D. or equivalent in Data Science, Applied Mathematics, Statistics, or a related field

• 2–5 years of experience as Principal Data Scientist or 6–10 years as Sr. Data Scientist

• Recognized expertise in at least one area of DS/AI through academic and industry work

• Demonstrated technical leadership, including the ability to independently define, lead, and successfully complete projects

• Clear communication and effective collaboration that drives business results

• Deep knowledge and practical experience with production-scale DS/AI systems

• Recent focus on generative AI, including hands-on experience with applying LLM orchestration frameworks (e.g., LangChain, LlamaIndex)

• Understanding of complex GenAI architectures and experience with guarding, scaling, monitoring, and maintaining these systems

• Experience supporting DS/AI systems across stages of the Machine Learning Operations/LLM Operations lifecycle at enterprise scale

• Passion for technology and commitment to staying current on generative AI advancements

• Affinity for education and delivering business value through AI solutions

• Proficiency in Python (10+ years), with the ability to write scalable, production-level code

Preferred Experience & Skills:

• Experience with LangChain/Lang Smith

• Affinity for education

• Experience with educational data

Why work for us?

The work you do at McGraw Hill will be work that matters. We are collectively building experiences that will help shape the future of education. Play your part and experience a sense of fulfilment that will inspire you to even greater heights.

The pay range for this position is between $162,250 - $190,000 annually, however, base pay offered may vary depending on job-related knowledge, skills, experience, and location. An annual bonus plan may be provided as part of the compensation package, in addition to a full range of medical and/or other benefits, depending on the position offered. Click here to learn more about our benefit offerings.

McGraw Hill recruiters always use a “@mheducation.com” email address and/or from our Applicant Tracking System, iCIMS. Any variation of this email domain should be considered suspicious. Additionally, McGraw Hill recruiters and authorized representatives will never request sensitive information in email.

49550

Primary Contact

1702837431829

Jacqui Edwards

,

Phone

Phone

Phone

Fax

Email

True

False

True

Job Details

Categories

Publishing/Printing

Location

Remote, Remote

Job Type

Employee

Full/Part

Full Time

Company ID

695

Job REQ #

5916

# Positions

1

Start Date

20250818

End Date

20250918

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McGraw Hill

About the Company

At McGraw Hill, we believe that our contribution to unlocking a brighter future lies within the application of our deep understanding of how learning happens and how the mind develops. It exists where the science of learning meets the art of teaching.

Educators have been and always will be at the core of the learning experience. The solutions we develop help educators impart their knowledge to students more efficiently. We believe that harnessing technology can enhance learning inside and outside of the classroom and deepen the connections between students and teachers to empower greater success.

By partnering with educators around the globe, our learning engineers, content developers and pedagogical experts are developing increasingly open learning ecosystems that are proven to improve pass rates, elevate grades and increase engagement for each individual learner while improving outcomes for all.

Why? Because learning changes everything.

(

Job Description

The Oracle Cloud Infrastructure Compute team is seeking a passionate, experienced Principal Data Scientist to tackle complex technical challenges of the Compute and AI Infrastructure, building sophisticated analytical and optimization system to drive infrastructure optimization and efficiency improvements through data analysis, AI/ML/DL modeling and data visualization. As OCI continues to scale to the demand of an ever-growing customer base and regions, we need hands-on scientists who can lead data-driven initiatives to ensure OCI continues to provide an outstanding customer experience while continuously improving the efficiency of OCI Compute and AI Infrastructure. The ideal candidate is someone who thrives in the face of ambiguity and can quickly distill abstract ideas into concrete solutions and has a proven track record of delivering business intelligence and reporting solutions across a highly complex environment involving multiple organizations, departments and teams.

Location: Seattle, WA - hybrid role 3 days in office

Responsibilities

Responsibilities:

The Principal Data Scientist will be responsible for designing, building and maintaining large-scale data pipelines that support statistical analyses and machine learning model testing, and deployment, forecasting model for infrastructure maintenance and lead business intelligence initiatives that impact both product and business for OCI. In addition, this specific role requires a passion for solving high-impact problems and the ability to jump into any in-flight project and get it on the rails.

Specific responsibilities for this role include:

• Design, build, and maintain large-scale data pipelines for statistical analysis and ML modeling

• Collaborate with data scientists and other stakeholders to understand data needs and develop solutions that meet those needs

• Create comprehensive data strategy to enable reporting and business analytics

• Conduct research to evaluate data and answer strategic business questions

• Generate actionable insights and enable reporting through data transformation, statistical analyses, or machine learning methods

• Fine-tune and optimize algorithms and models to ensure scalability, reliability, and performance at a high level

• Develop and maintain data architectures that support data warehousing, data lakes, and data governance

• Work with cross-functional teams to integrate data pipelines

• Ensure data quality, integrity, and security across all data pipelines and systems

• Develop and maintain metrics and monitoring to ensure data pipeline performance and reliability

• Champion data engineering and data science principles

• Provide guidance and mentorship to junior data scientists, contributing to team knowledge and best practices

• Stay up-to-date with the latest developments in machine learning, statistics, and data science, applying new techniques to improve processes and products

Basic Qualifications

• BS (or equivalent experience) in Data Science, Computer Science, Applied Mathematics, Engineering, or related quantitative or technical field

• 8+ years of data science or software engineering experience

• Experience with data warehousing and data lake technologies such as Oracle Object Storage, Apache Hadoop, Apache Hive, or Amazon Redshift.

• Experience analyzing data, generating insights, and telling stories with data

• Strong understanding of data governance, data quality, and data security principles

• Excellent communication and collaboration skills

Preferred Qualifications

• Data visualization and polished communication skills.

• Maturity, judgment, negotiation/influence skills, analytical skills, and leadership skills

• Self-driven problem solver; able to adapt and thrive in a dynamic, ambiguous, and customer-focused environment

• Highly analytical, technically proficient, and able to learn new tools and ML models quickly

• Experience with GenAI LLM models

• Experience with MLOps, building workflows for model retraining, monitoring and deploying

• Experience with ML frameworks such as TensorFlow, PyTorch

• Experience with cloud-based data platforms such as OCI, AWS, GCP, or Azure

• Experience with data visualization tools such as Oracle Analytics Cloud, Tableau, Power BI

Disclaimer:

Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.

Range and benefit information provided in this posting are specific to the stated locations only

US: Hiring Range in USD from: $96,800 to $223,400 per annum. May be eligible for bonus and equity.

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.

Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:

1. Medical, dental, and vision insurance, including expert medical opinion

2. Short term disability and long term disability

3. Life insurance and AD&D

4. Supplemental life insurance (Employee/Spouse/Child)

5. Health care and dependent care Flexible Spending Accounts

6. Pre-tax commuter and parking benefits

7. 401(k) Savings and Investment Plan with company match

8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.

9. 11 paid holidays

10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.

11. Paid parental leave

12. Adoption assistance

13. Employee Stock Purchase Plan

14. Financial planning and group legal

15. Voluntary benefits including auto, homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.

Career Level - IC4

About Us

As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.

We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.

Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling +1 in the United States.

Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Fidelity Workplace Investing is seeking a Principal Data Scientist to support initiatives around personalization and customization. This position will work with technical professionals in engineering and with managers of market research and product development teams. The assignments may include exploratory analysis, feature engineering, experimentation, forecasting, numerical optimization, real time model and LLM.

As Data Scientists, we support projects across many areas and ensure the highest degree of quality. You must be a great teammate who thrives in a small, highly effective work environment and communicates with confidence to all levels of Workplace Investing. The ideal Data Scientist handles projects from start to finish. i.e., they can work with website professionals on experimental design, gather required data in any shape and size, process it into useful features, train machine learning models, and assist technical teams to move models into production and measure business results.

The Skills You Bring

• Statistical and data science programming with proficiency in Python and SQL. Experience writing testable, modular code.

• Expert in training regression and classification models using typical ML algorithms, data extraction and feature engineering, creating model documentation, and explaining model output (such as features and performance) to non-technical audiences.

• Extensive experience in developing and/or deploying scalable AI solutions using LLM, knowledge graph, reinforcement learning, optimization, and/or real-time models to solve business problems.

• Independently lead data science projects from end to end. Conduct technical reviews and mentor junior data scientists.

• Experiences in financial services and marketing a plus.

• Committed to continuous learning and able to pick up new knowledge quickly.

Education

• PhD with 2+ years of working experiences or Masters Degree with 5+ years working experiences in a quantitative field (e.g. Statistics, Computer Sciences, Operational Research, Data Science or Applied Mathematics), with applied research experience.

How Your Work Impacts the Organization

Data Scientists in Fidelity Workplace Investments use sophisticated machine learning and optimization to deliver personalized experiences to our customers. Your work will help participants learn how to plan for their financial future and prepare for impending life changes.

Fidelitys hybrid working model blends the best of both onsite and offsite work experiences. Working onsite is important for our business strategy and our culture. We also value the benefits that working offsite offers associates. Most hybrid roles require associates to work onsite every other week (all business days, M-F) in a Fidelity office.

Please be advised that Fidelitys business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.