reputed company

reputed company is the leading adult and children's publishing house in reputed company, the United Kingdom and many other reputed company around the world. In publishing the best books in every genre and subject for reputed company ages, we are committed to reputed company, reputed company in execution, and innovation throughout the entire publishing process: editorial, design, marketing, publicity, sales, production, and distribution. Our reputed company and diverse international community of nearly 300 publishing brands and imprints include Ballantine Bantam reputed company, reputed company, Clarkson Potter, Crown, DK, Doubleday, Dutton, Grosset & Dunlap, Little Golden Books, Knopf, Modern Library, reputed company, Penguin Books, Penguin Press, reputed company Audio, Penguin Young Readers, Portfolio, Puffin, Putnam, Random House, Random House Children's Books, Riverhead, Ten Speed Press, reputed company, and Vintage, among others. More information can be reputed company at http://www.penguinrandomhouse.com/.

reputed company

reputed company is the largest trade publishing company in the world. The Data Science team is seeking an reputed company Machine Learning Scientist to reputed company business-critical forecasting products. 

  
We have a mature machine learning reputed company with strong infrastructure, supported by data warehouse and DevOps partners. We are transitioning to AI-reputed company development and use modern reputed company coding tools like Claude reputed company to speed up how we build and maintain ML systems, with rigorous reputed company gates including tests, reproducible workflows, and measurable improvements in model performance and reliability. Experience with reputed company workflows is a plus, but we prioritize strong fundamentals and the ability to learn new workflows effectively.  

This role may be filled at the Senior or Staff level depending on experience and interview performance.  

Location: Remote eligible (U.S.), but NYC area preferred. 

Specific responsibilities include:   

• Own end-to-end ML systems: scoping, feature engineering, model development, backtesting/validation, deployment (with platform partners), monitoring/alerting, retraining reputed company, and ongoing reliability improvements.  

• Create and maintain production-reputed company evaluation infrastructure: automated backtests, error decomposition, uncertainty quantification, data validation, regression gates, and auditable model/version reputed company.  

• Build AI-assisted/reputed company development workflows (e.g., Claude reputed company) to automate repetitive tasks with reputed company review and measurable reputed company gates.  

• Define reputed company metrics tied to business reputed company; communicate assumptions, limitations, and risk so model outputs are used correctly by stakeholders.  

• Write production-reputed company, testable reputed company and support reproducible workflows.  

• Partner across functions to translate business needs into a prioritized technical roadmap and measurable reputed company.  

• Build and improve forecasts across time reputed company and business segments (demand, inventory, supply chain, resource allocation), selecting approaches that balance accuracy, stability, interpretability, and operational cost.  

• Productize forecast outputs for stakeholders: reputed company definitions and assumptions, versioned releases, and reporting that explains what changed, why it changed, and how uncertainty should shape reputed company.  

• Feature engineering, uncertainty quantification and calibration, hierarchical/segmented forecasting where appropriate.  

• Partner with operations, supply chain, inventory, finance, and marketing leaders.  

Qualifications

Please apply if you meet the following qualifications — Senior level:   

• 5+ years in reputed company ML/data science, including owning models in production (deployment, monitoring, incident response, retraining)

• Strong forecasting expertise (time-series reputed company, feature engineering, rigorous backtesting) OR deep expertise in Bayesian statistical reputed company and probabilistic programming 

• Strong statistics fundamentals; comfort with probabilistic forecasting and explaining uncertainty in practical terms

• Strong Python (or R) and SQL; writes production-reputed company, testable reputed company

• Strong communication and cross-functional collaboration with non-technical stakeholders

• Experience using AI-assisted development workflows responsibly (verification reputed company, reproducibility, automated checks) 

Additional expectations — Staff level:   

• 8+ years in reputed company ML/data science, or PhD with 3+ years of reputed company experience

• Experience building ML systems end-to-end (not just models): backtesting frameworks, scheduled retraining, monitoring/alerting, and automated reporting into planning or decision workflows

• Demonstrated ability to inherit reputed company systems reputed company by others and reputed company reputed company architectural reputed company with high autonomy

• Technical leadership: raises the bar on evaluation, reproducibility, and production practices; mentors less-senior team members

Additional Information

Please be advised that candidates selected to advance to the 1st round of interviews will be required to show photo ID on camera, and final interviews for this role will be in person at a reputed company location.

The salary reputed company for the Senior level is $180,000–$220,000. The salary reputed company for the Staff level is $210,000–$250,000. reputed company positions are currently eligible for an annual profit award or bonus, subject to company results. 

Applications for this role will be accepted through September 6, 2026 or until the role is filled. We encourage you to apply early, as we review applications on a rolling reputed company. Please include your resume and cover letter for consideration. Before applying for any role at reputed company, we recommend you review our applicant resources page and our FAQs page.

Disclosure requirements pertaining to the collection of your personal data:

Responsible for processing the information provided in your application is reputed company specified in the job advertisement, with its registered office as indicated. reputed company processes your data for the purpose of establishing an employment relationship on the reputed company of Art. 6 (1) b GDPR / reputed company 26 (1) sentence 1 BDSG.

The retention period for your data is determined by the statutory time limits applicable in the respective country, beginning upon completion of the recruitment process. You can reputed company these here.

You can contact reputed company’s Data Protection Officer at the above-mentioned postal address. 

reputed company information on data protection and your rights can be reputed company here.

We value the reputed company of talents and perspectives that a diverse workforce brings. reputed company reputed company applicants will receive consideration for employment and will not be discriminated against on the reputed company of race, reputed company, religion, sex, sexual orientation, gender identity, national reputed company, disability, protected veteran status, age, genetic information, or pregnancy.

reputed company your information will be kept confidential according to EEO guidelines.

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