The RealReal
Principal Applied Scientist - Remote USA (*eligible states)
The RealReal, Bellflower, California, us, 90707
Principal Applied Scientist - Remote USA (*eligible states)
Join to apply for the
Principal Applied Scientist - Remote USA (*eligible states)
role at
The RealReal .
About The Role : The Principal Applied Scientist will be pivotal in advancing the Pricing team’s objectives by leading key applied science projects that address complex business challenges from initial list price, discounting, and promotions. This role involves close collaboration with Product and Engineering partners to develop technical roadmaps and deliver Machine Learning solutions that drive impactful OKRs, such as improving model performance, enhancing pricing‑related revenue generation, and optimizing the efficiency of model deployment pipelines.
States Not Eligible: AK, AR, DE, KS, MS, ND, SD, WY
What You Get To Do Every Day
Serve as a subject‑matter expert (SME) in one or two domains such as econometrics, algorithmic pricing and bidding, marketing science, and causal inference models.
Partner closely with cross‑functional teams to ensure alignment of ML solutions with broader business goals.
Lead the design, development and deployment of Machine Learning models that solve key/strategic business problems, focusing on scalability, reliability, and performance.
Develop and maintain clean, efficient, and scalable code that meets industry standards and is well documented.
Conduct deep analyses on complex datasets to derive actionable insights, employing state‑of‑the‑art methodologies such as deep learning frameworks, counterfactual reasoning, and causal inference.
Utilize cutting‑edge ML methodologies and frameworks to develop robust, scalable models that solve high‑impact pricing and discounting problems.
Influence technical direction and take ownership of key components within the pricing and discounting ecosystems.
Collaborate with key stakeholders to develop data‑driven solutions and deployable products and contribute to technical roadmaps and product initiatives.
Provide mentorship to junior and mid‑level ML engineers, fostering team expertise in pricing‑related ML domains.
Contribute to the company’s intellectual property and technical leadership through patents and publications at top‑tier conferences and journals.
What You Bring To The Role – Minimum Requirements
10+ years of industry experience in applied Machine Learning, with a proven track record in designing, deploying, and scaling production‑level ML models.
Master’s or PhD in AI, Computer Science, Econometrics, Mathematics, Statistics, Electrical Engineering or related field.
8+ years of experience building, deploying, and managing machine learning models in production environments at scale, focusing on pricing, discounting, algorithmic bidding, or similar complex domains.
Extensive knowledge of ML best practices (A/B testing, experiment design, training/serving pipelines, feature engineering) and advanced ML algorithms/techniques (gradient boosting, deep neural networks, optimization, regularization).
Experience in at least one of these domains: price optimization, discounting/promotions, algorithmic bidding.
Extensive experience with scientific and ML libraries in Python (NumPy, Pandas, Scikit‑Learn) and deep learning frameworks (TensorFlow, Keras, PyTorch).
Strong data engineering skills and experience working with large scale datasets.
Hands‑on experience with big data tools (Apache Beam, Apache Kafka, Spark) for distributed processing.
Proficiency with cloud platforms (AWS, GCP, or Azure) for scalable model deployment and data storage.
Fluency in Python and SQL for data manipulation, querying, and analysis.
Preferred Requirements
PhD in Computer Science, Machine Learning, Econometrics, AI or related field.
Strong background in applying Machine Learning techniques to solve real‑world business problems in retail or e‑commerce.
Hands‑on experience with MLOps tools and pipelines.
Impact‑focused mindset with commitment to delivering high‑quality, business‑oriented ML solutions.
Demonstrated leadership and mentoring skills, experience leading and inspiring technical teams.
Compensation, Benefits, and Perks
Employee Stock Purchase Plan
401(k) with Company Match
Medical, Dental & Vision Insurance
Paid Parental Leave
9 Paid Company Holidays
Flexible Time Off (With Manager Approval)
Find out more about our Benefits here.
The expected salary range for this role is $249,734.00 – $277,482.00. Additional compensation may include a bonus program and other benefits.
The RealReal is the world’s largest online marketplace for authenticated, resale luxury goods. We provide a safe and reliable platform for consumers to buy and sell luxury items, using AI and machine learning for optimal pricing and customer experience.
Equal Employment Opportunity Statement
The RealReal is committed to providing equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status or disability status. We consider qualified applicants for any position regardless of arrest or conviction records. At The RealReal, people come first. For more about our Diversity, Equity & Inclusion program, please visit our dedicated page.
Reasonable Accommodations
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this job. Specific physical demands include standing, walking, reaching, lifting up to 10 pounds and other tasks as described.
#J-18808-Ljbffr
Principal Applied Scientist - Remote USA (*eligible states)
role at
The RealReal .
About The Role : The Principal Applied Scientist will be pivotal in advancing the Pricing team’s objectives by leading key applied science projects that address complex business challenges from initial list price, discounting, and promotions. This role involves close collaboration with Product and Engineering partners to develop technical roadmaps and deliver Machine Learning solutions that drive impactful OKRs, such as improving model performance, enhancing pricing‑related revenue generation, and optimizing the efficiency of model deployment pipelines.
States Not Eligible: AK, AR, DE, KS, MS, ND, SD, WY
What You Get To Do Every Day
Serve as a subject‑matter expert (SME) in one or two domains such as econometrics, algorithmic pricing and bidding, marketing science, and causal inference models.
Partner closely with cross‑functional teams to ensure alignment of ML solutions with broader business goals.
Lead the design, development and deployment of Machine Learning models that solve key/strategic business problems, focusing on scalability, reliability, and performance.
Develop and maintain clean, efficient, and scalable code that meets industry standards and is well documented.
Conduct deep analyses on complex datasets to derive actionable insights, employing state‑of‑the‑art methodologies such as deep learning frameworks, counterfactual reasoning, and causal inference.
Utilize cutting‑edge ML methodologies and frameworks to develop robust, scalable models that solve high‑impact pricing and discounting problems.
Influence technical direction and take ownership of key components within the pricing and discounting ecosystems.
Collaborate with key stakeholders to develop data‑driven solutions and deployable products and contribute to technical roadmaps and product initiatives.
Provide mentorship to junior and mid‑level ML engineers, fostering team expertise in pricing‑related ML domains.
Contribute to the company’s intellectual property and technical leadership through patents and publications at top‑tier conferences and journals.
What You Bring To The Role – Minimum Requirements
10+ years of industry experience in applied Machine Learning, with a proven track record in designing, deploying, and scaling production‑level ML models.
Master’s or PhD in AI, Computer Science, Econometrics, Mathematics, Statistics, Electrical Engineering or related field.
8+ years of experience building, deploying, and managing machine learning models in production environments at scale, focusing on pricing, discounting, algorithmic bidding, or similar complex domains.
Extensive knowledge of ML best practices (A/B testing, experiment design, training/serving pipelines, feature engineering) and advanced ML algorithms/techniques (gradient boosting, deep neural networks, optimization, regularization).
Experience in at least one of these domains: price optimization, discounting/promotions, algorithmic bidding.
Extensive experience with scientific and ML libraries in Python (NumPy, Pandas, Scikit‑Learn) and deep learning frameworks (TensorFlow, Keras, PyTorch).
Strong data engineering skills and experience working with large scale datasets.
Hands‑on experience with big data tools (Apache Beam, Apache Kafka, Spark) for distributed processing.
Proficiency with cloud platforms (AWS, GCP, or Azure) for scalable model deployment and data storage.
Fluency in Python and SQL for data manipulation, querying, and analysis.
Preferred Requirements
PhD in Computer Science, Machine Learning, Econometrics, AI or related field.
Strong background in applying Machine Learning techniques to solve real‑world business problems in retail or e‑commerce.
Hands‑on experience with MLOps tools and pipelines.
Impact‑focused mindset with commitment to delivering high‑quality, business‑oriented ML solutions.
Demonstrated leadership and mentoring skills, experience leading and inspiring technical teams.
Compensation, Benefits, and Perks
Employee Stock Purchase Plan
401(k) with Company Match
Medical, Dental & Vision Insurance
Paid Parental Leave
9 Paid Company Holidays
Flexible Time Off (With Manager Approval)
Find out more about our Benefits here.
The expected salary range for this role is $249,734.00 – $277,482.00. Additional compensation may include a bonus program and other benefits.
The RealReal is the world’s largest online marketplace for authenticated, resale luxury goods. We provide a safe and reliable platform for consumers to buy and sell luxury items, using AI and machine learning for optimal pricing and customer experience.
Equal Employment Opportunity Statement
The RealReal is committed to providing equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status or disability status. We consider qualified applicants for any position regardless of arrest or conviction records. At The RealReal, people come first. For more about our Diversity, Equity & Inclusion program, please visit our dedicated page.
Reasonable Accommodations
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this job. Specific physical demands include standing, walking, reaching, lifting up to 10 pounds and other tasks as described.
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