Principal Applied Scientist - Remote (*eligible states

Principal Applied Scientist - Remote USA (
* eligible states)

Join to apply for the Principal Applied Scientist - Remote USA (
* eligible states) role at The Real Real
.

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 (Num Py, Pandas, Scikit‑Learn) and deep learning frameworks (Tensor Flow, 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…