The RealReal · 2 weeks ago
Principal Applied Scientist - Remote USA (*eligible states)
United States
Full-time
Remote
Lead/Staff
$250K/yr - $277K/yr
10+ years expThe RealReal is the world’s largest online marketplace for authenticated resale luxury goods, committed to sustainability and innovation. They are seeking a Principal Applied Scientist to lead key applied science projects, focusing on machine learning solutions that enhance pricing strategies and optimize model deployment pipelines.
E-CommerceFashionLifestyleMarketplace
Responsibilities
Serves 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. Ensure code is well-documented and easily accessible for future iterations and optimizations, fostering best practices in coding and model deployment
Conduct deep analyses on complex datasets to derive actionable insights, employing state-of-the-art methodologies such as deep learning frameworks (e.g., TensorFlow, PyTorch), 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, enhancing our ability to predict and optimize product pricing with a high degree of accuracy
Influence technical direction and take ownership of key components within the pricing and discounting ecosystems, ensuring solutions are built to support current and future business needs
Collaborate with key stakeholders in the development of data-driven solutions and deployable products. Contribute to the development of 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
Qualification
Required
10+ years of industry experience in applied Machine Learning, including 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 experience in building, deploying, and managing machine learning models in production environments at scale, with a focus 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 in 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, including data preprocessing, feature extraction, and efficient data handling
Hands-on experience with big data tools (Apache Beam, Apache Kafka, Spark) for distributed processing of large datasets
Proficiency with cloud platforms (AWS, GCP, or Azure) for scalable model deployment and data storage solutions
Fluency in Python and SQL for data manipulation, querying, and analysis
Preferred
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 the retail or e-commerce sector
Hands-on experience with MLOps tools and pipelines, enabling smooth model lifecycle management
Impact-focused mindset, with a commitment to delivering high-quality, business-oriented ML solutions
Demonstrated leadership and mentoring skills, with experience leading and inspiring technical teams
Benefits
Employee Stock Purchase Plan
401K with Company Match
Medical, Dental & Vision Insurance
Paid Parental Leave
9 Paid Company Holidays
Flexible Time Off (With Manager Approval)
Company
The RealReal
The RealReal is an online marketplace for authenticated and consigned luxury goods.
1001-5000 employees
H1B Sponsorship
The RealReal has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (5)
2024 (10)
2023 (10)
2022 (14)
2021 (8)
2020 (6)
Funding
Current Stage
Public CompanyTotal Funding
$356.87MKey Investors
GreyLion CapitalGreat Hill PartnersGreenspring Associates
2019-06-28IPO
2019-03-01Series H· $70M
2018-07-25Series G· $115M
Leadership Team
Rati Levesque
President & CEO
Frank Zhu
Chief Analytics Officer
Recent News
2026-01-08
2026-01-03
Company data provided by crunchbase