203 Principal Data Scientist Jobs in New York, NY
NBCUniversal is Hiring a Principal Data Scientist Near New York, NY
Here you can be your authentic self. As a company uniquely positioned to educate, entertain and empower through our platforms, Comcast NBCUniversal stands for including everyone. Our Diversity, Equity and Inclusion initiatives, coupled with our Corporate Social Responsibility work, is informed by our employees, audiences, park guests and the communities in which we live. We strive to foster a diverse, equitable and inclusive culture where our employees feel supported, embraced and heard. Together, we’ll continue to create and deliver content that reflects the current and ever-changing face of the world.
Job DescriptionOur Direct-to-Consumer (DTC) portfolio is a powerhouse collection of consumer-first brands, supported by media industry leaders, Comcast, NBCUniversal and Sky. When you join our team, you’ll work across our dynamic portfolio including Peacock, NOW, Fandango, SkyShowtime, Showmax, and TV Everywhere, powering streaming across more than 70 countries globally. And the evolution doesn’t stop there. With unequalled scale, our teams make the most out of every opportunity to collaborate and learn from one another. We’re always looking for ways to innovate faster, accelerate our growth and consistently offer the very best in consumer experience. But most of all, we’re backed by a culture of respect. We embrace authenticity and inspire people to thrive.
As part of the Decision Sciences team, the Principal Data Scientist will be responsible for creating analytical solutions for one or more verticals of NBCU’s video streaming service including, but not limited to, dynamic pricing, messaging optimization, CRM solutions, and customer value assessment.
In this role, the Principal Data Scientist will use advanced data science methodologies including causal uplift modeling, contextual and non-contextual bandits, experimentation, and Gen AI (LLMs). They will work closely with business owners, teammates and engineers to build state-of-the-art algorithmic targeting solutions for a dynamic media platform. They will be responsible for building, maintaining, and testing robust production ready systems that may need to serve low latency predictions.
Responsibilities Include, But Are Not Limited To
- Own and deliver results on existing and new complex projects related to the development of analytical models using machine learning, causal uplift modeling, and Gen AI techniques.
- Provide mentorship to teammates via pairing and code reviews
- Be a technical lead for the team; keep up to date on state of the art methods and help apply them where needed.
- Expertly communicates work and project implications to stakeholders of varying technical expertise.
- Build out templates and examples for the team on coding, readmes, and presentation materials.
- Conduct rigorous cross-validation and backtesting of model performance.
- Expertise with CI/CD processes and contributes to a sustainable and robust codebase
- Experience with batch jobs/data pipelines and is comfortable deploying through these systems (i.e. Airflow, Luigi, Composer)
- Build and interact with production systems for serving machine learning predictions.
- Work cross-functionally across data, engineering, and product to launch and maintain machine leaning driven projects.
- Advanced (Master or PhD) degree with specialization in Statistics, Computer Science, Data Science, Economics, Mathematics, Operations Research or another quantitative field or equivalent.
- 5-8 years of combined experience in data science in industry or research.
- Has expert knowledge of standard data science and statistical techniques
- Has expert knowledge of two of causal inference techniques, Gen AI (LLM) implementation, or contextual bandits
- Experience implementing scalable systems (Google Cloud preferred).
- Experience with data visualization tools and techniques.
- Ability work with stakeholders to drive project ideas and turn them into rigorous solutions
- Expert knowledge of Python and SQL
- Working experience with product teams to deploy prescriptive machine learning models to drive one or more KPIs.
- Knowledge of enterprise-level digital analytics platforms (e.g. Adobe Analytics, Google Analytics, etc.)
- Implementing and owning end-to-end data projects with a diverse group of stakeholders
- Experience with building/working with low response time Machine Learning apis with use cases such as search, recommendations, or prediction
- Experience being the “tech lead” for a stakeholder facing data science team
- Experience contributing to unit, integration, and data integrity tests for a Machine Learning codebase
This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. Salary range: $185,000-$220,000, bonus and LTI eligibleAdditional InformationNBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. NBCUniversal will consider for employment qualified applicants with criminal histories in a manner consistent with relevant legal requirements, including the City of Los Angeles Fair Chance Initiative For Hiring Ordinance, where applicable.
If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access nbcunicareers.com as a result of your disability. You can request reasonable accommodations by emailing AccessibilitySupport@nbcuni.com.
Job Summary
Full Time
Television & Broadcasting
$183k-224k (estimate)
05/22/2024
07/19/2024
nbcuniversal.com
UNIVERSAL CITY, CA
>50,000
1987
STEPHEN B BURKE
$10B - $50B
Television & Broadcasting
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The job skills required for Principal Data Scientist include Data Science, Machine Learning, Python, SQL, Computer Science, Programming, etc. Having related job skills and expertise will give you an advantage when applying to be a Principal Data Scientist. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Principal Data Scientist. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Principal Data Scientist positions, which can be used as a reference in future career path planning. As a Principal Data Scientist, it can be promoted into senior positions as a Data Science Manager that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Principal Data Scientist. You can explore the career advancement for a Principal Data Scientist below and select your interested title to get hiring information.
If you are interested in becoming a Principal Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Principal Data Scientist for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Principal Data Scientist job description and responsibilities
The Principal Data Scientist acts as a technical consultant to Product Managers from different departments.
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Identifies business trends and problems through complex big data analysis.
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Data scientists clearly understand how to extract, understand, and analyze data.
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A data scientist uses data to understand and explain the phenomena around them, and help organizations make better decisions.
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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Principal Data Scientist jobs
Experience manipulating large data sets through statistical software.
03/04/2022: Medford, OR
Data scientists need to be critical thinkers, to be able to apply objective analysis of facts on a given topic or problem before formulating opinions or rendering judgments.
02/17/2022: Santa Barbara, CA
Maintain clear and coherent communication, both verbal and written, to understand data needs and report results.
04/04/2022: Davenport, IA
Collaborate with partners and stakeholders to understand people-related business problems, and gathering relevant people data to analyze.
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Understand the business question and clarify related data aspects, such as types of data to collect and time frame.
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Step 3: View the best colleges and universities for Principal Data Scientist.
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