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Phd Causal Inference Jobs in Nebraska (NOW HIRING)

Warnerbros

Principal Data Scientist

Bellevue, NE · On-site

... PhD preferred) * 8 + years of work experience in Machine Learning, AI and Data Science with a ... causal inference modeling, ensembles, neural networks, NLP, reinforcement learning and bandits

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... causal reasoning, agentic systems, and product intelligence. The goal is not simply to build ... Preference and goal inference * Learning when intervention creates value versus friction Agentic ...

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... causal reasoning, agentic systems, and product intelligence. The goal is not simply to build ... Preference and goal inference * Learning when intervention creates value versus friction Agentic ...

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... causal reasoning, agentic systems, and product intelligence. The goal is not simply to build ... Preference and goal inference * Learning when intervention creates value versus friction Agentic ...

Block

... causal reasoning, agentic systems, and product intelligence. The goal is not simply to build ... Preference and goal inference * Learning when intervention creates value versus friction Agentic ...

Block

... causal reasoning, agentic systems, and product intelligence. The goal is not simply to build ... Preference and goal inference * Learning when intervention creates value versus friction Agentic ...

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Phd Causal Inference information

See Nebraska salary details

$38.1K

$117.2K

$170.2K

How much do phd causal inference jobs pay per year?

As of Sep 11, 2026, the average yearly pay for phd causal inference in Nebraska is $117,206.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,100.00 and $131,600.00 per year, depending on experience, location, and employer.

What is a PhD in causal inference?

A PhD in Causal Inference is an advanced research degree focused on understanding and identifying cause-and-effect relationships using statistical and computational methods. Students in this field learn to design studies, analyze data, and develop new methodologies to answer complex causal questions in areas such as social sciences, medicine, economics, and artificial intelligence. Graduates often work in academia, research institutions, or industries where evidence-based decision-making is essential.

What are the key skills and qualifications needed to thrive as a PhD causal inference researcher?

To thrive as a PhD Causal Inference researcher, you need advanced knowledge of statistics, econometrics, and causal modeling, typically supported by a doctoral degree in a quantitative field. Familiarity with statistical programming languages (such as R or Python), specialized software (like STATA or SAS), and experience with experimental or quasi-experimental methods are essential. Strong analytical thinking, attention to detail, and the ability to communicate complex findings clearly make a candidate stand out. These skills ensure rigorous, credible research that can inform policy, product development, or scientific understanding by accurately identifying causal relationships.

What collaborative opportunities can a PhD specializing in causal inference expect within a multidisciplinary research team?

PhD professionals in Causal Inference frequently collaborate with experts from fields such as epidemiology, economics, computer science, and public health. They often work closely with data scientists, subject matter experts, and statisticians to design studies, interpret complex datasets, and develop robust analytical models. This multidisciplinary environment fosters continuous learning and often leads to co-authorship on research publications, participation in grant writing, and involvement in high-impact policy or product decisions. Effective communication and teamwork skills are essential to translate technical findings for diverse audiences and drive actionable insights.

What are popular job titles related to Phd Causal Inference jobs in Nebraska?

For Phd Causal Inference jobs in Nebraska, the most frequently searched job titles are:

What job categories do people searching Phd Causal Inference jobs in Nebraska look for?

The top searched job categories for Phd Causal Inference jobs in Nebraska are:

Phd Causal Inference jobs near you

Principal Data Scientist

Bellevue, NE • On-site

Warnerbros
See more jobs at Warnerbrosexternal

Full-time

Medical, Life, Retirement, PTO

Posted 24 days ago

Key responsibilities

  • Lead large and complex technical projects by developing innovative machine learning algorithms for recommender systems and search.

  • Mentor team members in machine learning approaches and introduce new technologies and processes.

  • Partner with stakeholders to identify ML opportunities, design scalable ML systems, and deliver impactful solutions.

Job description

Welcome to Warner Bros. Discovery... the stuff dreams are made of.

Who We Are...

When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what's next...

From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.

Every great story has a new beginning, and yours starts here.

Welcome to Warner Bros. Discovery... the stuff dreams are made of.

Who We Are...

When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what's next...

From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.

Principal Research Scientist (Recommender Systems)

The Job

The Principal Research Scientist (Recommender systems) will lead large and complex technical projects by developing innovative machine learning algorithms and directing the work of talented Machine Learning (ML) and Artificial Intelligence (AI) researchers and engineers towards building scalable ML solutions for HBO Max. This role will be focused on advancing personalization and recommender systems and search to drive user experience and growth.

The person in the role will partner closely with product, engineering, content, marketing, and research stakeholders across WBD to identify ML opportunities, accelerate AI innovation, and to ensure delivery of impactful solutions for the business.

The Daily

  • Develop innovative data science solutions that utilize machine learning and deep learning algorithms, statistical and quantitative modeling approaches to support product, engineering and marketing initiatives.
  • Be a hands-on leader to mentor the team in the latest machine learning approaches, and to introduce new technologies and processes.
  • Partner with ML engineering leadership to design and develop scalable machine learning systems to accelerate the learning cycle.
  • Identify data science opportunities that deliver business value.
  • Formulate key areas of the ML/AI roadmap, and educate both internal and external stakeholders at all levels to drive implementation and measurement.
  • Provide thought leadership to enable ML/AI applications.
  • Develop and evangelize best practices for scoping, building, validating, deploying, and monitoring ML/AI products.
  • Prepare and present ML modeling results and analytical insights that help drive the business to senior leadership.

The Essentials

  • Masters in Computer Science, Mathematics, Physics, Engineering, Statistics, Operations Research, or other equivalent quantitative fields (PhD preferred)
  • 8 + years of work experience in Machine Learning, AI and Data Science with a proven track record to drive innovation and business impacts
  • Strong experience in Recommender systems, personalization systems, collaborative filtering and information retrieval systems.
  • Strong machine learning, deep learning, and statistical modeling expertise, such as causal inference modeling, ensembles, neural networks, NLP, reinforcement learning and bandits
  • Familiarity and experience with modern large language model based techniques for recommender systems and personalization.
  • Advanced knowledge of SQL and experience with big data platform (AWS, Snowflake, Spark, Google Cloud etc.)
  • Proficiency in machine learning and deep learning languages and platforms (Python, TensorFlow, Keras, PyTorch etc.)
  • Experience in deploying machine learning algorithms and advanced modeling solutions
  • Proven ability to deliver results in a fast-paced, high-energy environment
  • Strong communication skills and the ability to explain complex analysis and algorithms to non-technical audience
  • Works effectively cross functional teams to build trusted partnership
  • Working experience in digital media and entertainment industry preferred

How We Get Things Done...

This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.

Championing Inclusion at WBD

Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.

If you're a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.

In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery's total compensation package for employees. Pay Range: $227,850.00 - $423,150.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation.If you're a qualified candidate with an arrest or conviction record, please know that your application will be considered in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

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