Innovate on a suite of predictive models to help inform our content strategy. * Be a thought partner with our content strategy teams as we continue to evolve our approach to content valuation ...
Innovate on a suite of predictive models to help inform our content strategy. * Be a thought partner with our content strategy teams as we continue to evolve our approach to content valuation ...
Innovate on a suite of predictive models to help inform our content strategy. * Be a thought partner with our content strategy teams as we continue to evolve our approach to content valuation ...
Innovate on a suite of predictive models to help inform our content strategy. * Be a thought partner with our content strategy teams as we continue to evolve our approach to content valuation ...
Innovate on a suite of predictive models to help inform our content strategy. * Be a thought partner with our content strategy teams as we continue to evolve our approach to content valuation ...
Innovate on a suite of predictive models to help inform our content strategy. * Be a thought partner with our content strategy teams as we continue to evolve our approach to content valuation ...
Innovate on a suite of predictive models to help inform our content strategy. Be a thought partner with our content strategy teams as we continue to evolve our approach to content valuation ...
Innovate on a suite of predictive models to help inform our content strategy. Be a thought partner with our content strategy teams as we continue to evolve our approach to content valuation ...
2026 Fall Applied Science Internship - Reinforcement Learning & Optimization (Machine Learning) - Un
Seattle, WA · On-site
... Predictive Modeling In this role, you will work alongside global experts to develop and implement novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the ...
2026 Fall Applied Science Internship - Reinforcement Learning & Optimization (Machine Learning) - Un
Seattle, WA · On-site
... Predictive Modeling In this role, you will work alongside global experts to develop and implement novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the ...
Identify features and relationships useful for the predictive modeling of market dynamics DESIRABLE CANDIDATES * MS, or PhD candidates in finance, computer science, mathematics, physics, or other ...
Identify features and relationships useful for the predictive modeling of market dynamics DESIRABLE CANDIDATES * MS, or PhD candidates in finance, computer science, mathematics, physics, or other ...
... and predictive modeling to support client needs - Collaborating with client leadership to identify opportunities for data-driven improvements - Encouraging innovation and embracing technology to ...
... and predictive modeling to support client needs - Collaborating with client leadership to identify opportunities for data-driven improvements - Encouraging innovation and embracing technology to ...
... and predictive modeling to support client needs - Collaborating with client leadership to identify opportunities for data-driven improvements - Encouraging innovation and embracing technology to ...
... and predictive modeling to support client needs - Collaborating with client leadership to identify opportunities for data-driven improvements - Encouraging innovation and embracing technology to ...
Principal Data Scientist
Redmond, WA · On-site
Understanding of machine learning techniques including predictive modeling, text and image mining, clustering, deep learning, anomaly detection, forecasting methods and other advanced statistical ...
Principal Data Scientist
Redmond, WA · On-site
Understanding of machine learning techniques including predictive modeling, text and image mining, clustering, deep learning, anomaly detection, forecasting methods and other advanced statistical ...
The role combines advanced analytics, cloud data engineering, predictive modeling, and enterprise-scale data integration to help drive business intelligence and strategic decision-making across ...
The role combines advanced analytics, cloud data engineering, predictive modeling, and enterprise-scale data integration to help drive business intelligence and strategic decision-making across ...
The role combines advanced analytics, cloud data engineering, predictive modeling, and enterprise-scale data integration to help drive business intelligence and strategic decision-making across ...
The role combines advanced analytics, cloud data engineering, predictive modeling, and enterprise-scale data integration to help drive business intelligence and strategic decision-making across ...
The role combines advanced analytics, cloud data engineering, predictive modeling, and enterprise-scale data integration to help drive business intelligence and strategic decision-making across ...
Quick apply
The role combines advanced analytics, cloud data engineering, predictive modeling, and enterprise-scale data integration to help drive business intelligence and strategic decision-making across ...
... predictive modeling to inform insights and recommendations - Integrating data from various sources to enhance data quality and integrity - Validating data security and compliance within analytics ...
... predictive modeling to inform insights and recommendations - Integrating data from various sources to enhance data quality and integrity - Validating data security and compliance within analytics ...
... predictive modeling to inform insights and recommendations - Integrating data from various sources to enhance data quality and integrity - Validating data security and compliance within analytics ...
... predictive modeling to inform insights and recommendations - Integrating data from various sources to enhance data quality and integrity - Validating data security and compliance within analytics ...
Director, Marketing Analytics
Bellevue, WA · On-site
$240K - $330K/yr
Implement AI/ML capabilities for predictive modeling and automated insights * Support marketing experiments with rigorous testing and statistical validation * Create forecasts and scenario models to ...
Director, Marketing Analytics
Bellevue, WA · On-site
$240K - $330K/yr
Implement AI/ML capabilities for predictive modeling and automated insights * Support marketing experiments with rigorous testing and statistical validation * Create forecasts and scenario models to ...
BASIC QUALIFICATIONS - 5+ years of hands-on work in predictive modeling and analysis experience - PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field ...
BASIC QUALIFICATIONS - 5+ years of hands-on work in predictive modeling and analysis experience - PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field ...
Sr. Manager, Applied Science, Marketing Measurement and Performance Science (MAPS)
Seattle, WA · On-site
... predictive modeling experience - 5+ years of people management experience - PhD in Computer Science (Machine Learning, AI, Statistics, or equivalent) - Experience in practical work applying ML to ...
Sr. Manager, Applied Science, Marketing Measurement and Performance Science (MAPS)
Seattle, WA · On-site
... predictive modeling experience - 5+ years of people management experience - PhD in Computer Science (Machine Learning, AI, Statistics, or equivalent) - Experience in practical work applying ML to ...
Machine learning and predictive modeling experience building and validating supervised and unsupervised models and translating model outputs into business decisions * Data wrangling and engineering ...
Machine learning and predictive modeling experience building and validating supervised and unsupervised models and translating model outputs into business decisions * Data wrangling and engineering ...
Actuary
Seattle, WA · On-site
$132K - $155K/yr
Innovate indication methodologies and streamline process automation. * Assist in the development of sophisticated actuarial models, using predictive modeling techniques and statistical analysis to ...
New
Actuary
Seattle, WA · On-site
$132K - $155K/yr
Innovate indication methodologies and streamline process automation. * Assist in the development of sophisticated actuarial models, using predictive modeling techniques and statistical analysis to ...
New
Actuary
Seattle, WA · On-site +1
$132K - $155K/yr
Innovate indication methodologies and streamline process automation. * Assist in the development of sophisticated actuarial models, using predictive modeling techniques and statistical analysis to ...
New
Actuary
Seattle, WA · On-site +1
$132K - $155K/yr
Innovate indication methodologies and streamline process automation. * Assist in the development of sophisticated actuarial models, using predictive modeling techniques and statistical analysis to ...
New
Predictive Modeling information
See Seattle, WA salary details
$11.76 - $19.30
4% of jobs
$19.30 - $26.83
1% of jobs
$26.83 - $34.37
2% of jobs
$34.37 - $41.90
0% of jobs
$41.90 - $49.44
3% of jobs
$49.44 - $56.97
8% of jobs
$59.68 is the 25th percentile. Wages below this are outliers.
$56.97 - $64.51
17% of jobs
The median wage is $68.93 / hr.
$64.51 - $72.05
24% of jobs
$76.93 is the 75th percentile. Wages above this are outliers.
$72.05 - $79.58
23% of jobs
$79.58 - $87.12
12% of jobs
$87.12 - $94.65
5% of jobs
$11
$66
$94
How much do predictive modeling jobs pay per hour?
As of Aug 14, 2026, the average hourly pay for predictive modeling in Seattle, WA is $66.82, according to ZipRecruiter salary data. Most workers in this role earn between $59.90 and $77.69 per hour, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive in predictive modeling, and why are they important?
To thrive in Predictive Modeling, you need strong statistical analysis, data mining, and machine learning skills, often supported by a degree in statistics, computer science, mathematics, or a related field. Expertise with tools such as Python, R, SAS, or SQL, as well as knowledge of data visualization software, is commonly required, and certifications in data science or analytics are a plus. Strong problem-solving abilities, attention to detail, and effective communication are key soft skills for this role. Mastering these skills enables professionals to build accurate models, interpret data-driven results, and clearly communicate insights to stakeholders, which are critical for informed business decision-making.
What is predictive modeling?
A Predictive Modeling job involves using statistical techniques, machine learning algorithms, and data analysis to forecast future outcomes based on historical data. Professionals in this role build and test models to identify patterns, trends, and relationships in complex datasets. They commonly work in industries like finance, healthcare, and marketing to improve decision-making and optimize business processes. Strong skills in programming, data manipulation, and statistical analysis are essential for success in this role.
What does a typical workday look like for someone working in predictive modeling?
A typical day in predictive modeling involves gathering and cleaning data, selecting relevant features, and building statistical or machine learning models to forecast trends or behaviors. You’ll regularly use programming languages and analytics tools to test model performance and iterate on results, while documenting findings and preparing reports for internal teams or clients. Collaboration is often required with data engineers, subject matter experts, and business leaders to ensure that models align with organizational goals. Additionally, you may be tasked with presenting your insights to both technical and non-technical audiences, making strong communication skills essential for success in this role.
What are popular job titles related to Predictive Modeling jobs in Seattle, WA?
For Predictive Modeling jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Predictive Modeling jobs in Seattle, WA look for?
The top searched job categories for Predictive Modeling jobs in Seattle, WA are:
Full-time
Medical, Life, Retirement, PTO
Re-posted 10 hours ago
Netflix rating
5.8
Based on 15 frontline employees who took The Breakroom Quiz
70th of 76 rated media
Job description
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next.
The Content & Conversation Modeling team delivers high-leverage ML solutions using Netflix's unique media data, driving decisions across content strategy, acquisition, scheduling, and advertising. Our models are used to predict engagement, forecast title performance, assess catalog strength, and so much more. We are looking for a machine learning scientist to develop, optimize, and deploy scalable ML solutions that power content decisions at Netflix.
In this role, you will:
To be successful in this role, you have:
Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $300,000.00 - $537,000.00.
Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.
Netflix is a unique culture and environment. Learn more here.
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
The Content & Conversation Modeling team delivers high-leverage ML solutions using Netflix's unique media data, driving decisions across content strategy, acquisition, scheduling, and advertising. Our models are used to predict engagement, forecast title performance, assess catalog strength, and so much more. We are looking for a machine learning scientist to develop, optimize, and deploy scalable ML solutions that power content decisions at Netflix.
In this role, you will:
- Innovate on a suite of predictive models to help inform our content strategy.
- Be a thought partner with our content strategy teams as we continue to evolve our approach to content valuation, scheduling, and performance.
- Partner closely with our analytics teams as they leverage our models on the ground both in the US and globally.
- Own the end-to-end ML model development lifecycle, from ideation and feature engineering, to model training, evaluation, deployment, monitoring, and continuous improvement.
- Inform and influence data and ML infrastructure development through partnership with data engineer, ML Ops, and ML Platform teams.
- Live Netflix values while bringing a new perspective to continue improving our culture.
To be successful in this role, you have:
- An ability to navigate ambiguous problem spaces with a passion for translating them into practical technical solutions, including a track-record of delivering business solutions leveraging Machine Learning.
- Exceptional communication skills. Able to explain complex technical concepts clearly to cross-functional partners with differing technical backgrounds.
- Deep familiarity with the ML lifecycle and strong technical judgment when assessing different solutions for deploying models in production.
- A passion for scaling your ML solutions in collaboration with your team. You seek to build modularly, for resilience, and in ways where others can take on your code when you're away.
- Strong experience in Python and a ML/DL framework (e.g., scikit-learn, Keras, PyTorch, TensorFlow, MetaFlow, JAX)
- An advanced degree (MS or PhD) in Computer Science, Economics, Physics, Statistics, Mathematics, or a related technical field with a focus on machine learning and predictive modeling.
- Relevant experience in one or more machine learning roles.
- An appreciation of the creative and entertainment industry is definitely a plus.
Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $300,000.00 - $537,000.00.
Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.
Netflix is a unique culture and environment. Learn more here.
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
About Netflix
Sourced by ZipRecruiter
Netflix is the world's leading streaming entertainment service with 222 million paid memberships in over 190 countries enjoying TV series, documentaries, feature films and mobile games across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any Internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.
Industry
Arts, entertainment, and recreation
Company size
5,001 - 10,000 Employees
Headquarters location
Los Gatos, CA, US
Year founded
1997