Principal Applied Scientist - Remote USA (*eligible states) @ The RealReal | Jobright.ai
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Principal Applied Scientist - Remote USA (*eligible states) jobs in Bellflower, CA
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The RealReal · 7 hours ago

Principal Applied Scientist - Remote USA (*eligible states)

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E-CommerceFashion
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Responsibilities

Considered 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

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine LearningPythonDeep LearningData EngineeringCloud PlatformsSQLA/B TestingExperiment DesignFeature EngineeringGradient BoostingOptimizationRegularizationNumPyPandasScikit-LearnTensorFlowKerasApache BeamApache KafkaSparkMLOpsMentoring

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, 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

Company

The RealReal

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The RealReal is an online marketplace for authenticated and consigned luxury goods.

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
2023 (6)
2022 (12)
2021 (10)
2020 (13)

Funding

Current Stage
Public Company
Total Funding
$356.87M
Key Investors
GreyLion CapitalGreat Hill PartnersGreenspring Associates
2019-06-28IPO· undefined
2019-03-01Series H· $70M
2018-07-25Series G· $115M

Leadership Team

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Robert K. Julian
Chief Financial Officer
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Rati Sahi Levesque
President and Chief Operating Officer
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Company data provided by crunchbase
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