Senior Data Scientist, Pricing Job at Airbnb

Senior Data Scientist

Sitting at the intersection of business and engineering, Data Scientists work in...

Location

Spain

Salary:

Not provided

Fever

Expiration Date

Until further notice

Requirements

solid math, statistics and Machine Learning fundamentals (typically MSc or PhD level)
strong understanding of statistical analysis and modeling including regression, econometric models, time series analysis and forecasting
mastery of common data and ML tools (e.g. SQL, Pandas, Numpy, …)
experience developing and deploying models for business applications
scientific mindset, problem-first attitude and highly self-critical
entrepreneurial spirit, ownership of work, communicate early and often, take controlled risks
comfortable with software engineering best practices
excellent communication skills and proficient in business English

Job Responsibility

work closely with stakeholders in business, product, and engineering to devise data-driven solutions
develop and maintain models to accurately estimate demand and price elasticity
analyse and exploit cross effects across products and contexts
design, execute, and analyze experiments leveraging statistics, econometric models, causal inference techniques
collaborate with partners to devise solutions across domains

What we offer

attractive compensation package consisting of base salary and potential to earn significant bonus
stock options
40% discount on all Fever events and experiences
flexible hybrid model
responsibility from day one and professional and personal growth
great work environment with a young, international team
health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee
English Lessons
Gympass Membership
possibility to receive in advance part of your salary by Payflow

Fulltime

Senior Data Scientist

Due to rapid growth, at the core of our company’s strategy, we are seeking a Sen...

Location

France , Paris

Salary:

Not provided

Descartes Underwriting

Expiration Date

Until further notice

Requirements

Graduated from a leading academic institution with a degree in mathematics, statistics, data science, physics or related
4 years of significant experience minimum (post graduation) in data science or related
Proven track record in leading cross-organisational projects involving a variety of stakeholders
Proficiency in Python (e.g. pandas, scikit-learn)
Strong background in statistics and mathematics, showing clear understanding of probabilities
Eye for quality, autonomous and attention to detail
Communication of complex technical topics to a business-oriented audience
Fluency in English (written and verbal communication) is required
Interested in insurance industry and climate risks modeling
Strong team spirit

Job Responsibility

Collaborate with the business team and brokers to understand client needs and risk transfer challenges to successfully underwrite new business and renew accounts
Conduct thorough analyses for product design and coverage structuring in order to meet the needs and expectations of the clients
Improve and develop pricing models in order to model the risk, underwrite policies for corporates and public entities, and monitor the portfolio performance and accumulation
Contribute to insurance proposal and underwriting documentation in order to finalise policies for corporate clients and public entities worldwide
Contribute to & lead cross-organisational initiatives with various divisions of Descartes in order to support the growth and scalability efforts of the company (e.g. Software & Data Engineers, R&D teams, Strategy, Legal, Operations & Risk Management)
Technical & Business Leadership: help both the underwriting strategy and the review of the work conducted by Underwriting Data Scientists, providing guidance on technical modeling matters & business requirements

What we offer

Opportunity to work and learn with teams from the most prestigious schools and research labs in the world, allowing you to progress towards technical excellence
Commitment from Descartes to its staff of continued learning and development (think annual seminars, training etc.)
Work in a collaborative & professional environment
Be part of an international team, passionate about diversity
Join a company with a true purpose – help us help our clients be more resilient towards climate risks
A competitive salary, bonus and benefits
You can benefit from punctual home office days

Lead Scientist, Pricing

We are seeking a Lead Data Scientist with deep expertise in pricing science, inc...

Location

United States

Salary:

Not provided

Duetto

Expiration Date

Until further notice

Requirements

MS or PhD in Statistics, Econometrics, Computer Science, Operations Research, or a related quantitative field
7+ years of hands-on experience building data science solutions for pricing, decision-making, or control systems
Demonstrated success applying reinforcement learning in production settings, ideally in pricing or dynamic decision environments
Proficiency with ML/DL frameworks (e.g., PyTorch, TensorFlow, scikit-learn, DARTS) and programming languages (Python, R, SQL)
Experience with Python-based libraries for mathematical optimization and reinforcement learning, and familiarity with simulation environments for offline policy evaluation
Familiarity with cloud platforms and MLOps tools (e.g., AWS SageMaker, MLflow) for scalable model development and deployment
Strong communication and presentation skills, capable of conveying complex analytical concepts to non-technical stakeholders
Experience designing model evaluation and impact measurement frameworks, including causal inference

Job Responsibility

Lead the development of intelligent pricing systems using reinforcement learning, constrained optimization, and simulation-based approaches
Apply a combination of mathematical optimization, dynamic programming, and advanced reinforcement learning algorithms (e.g., model-free, policy gradients, model-based RL) to develop adaptive pricing strategies at scale
Incorporate price elasticity modeling, demand forecasts, and business constraints into the optimization framework
Build and validate simulation environments to evaluate policies offline and ensure robustness before production deployment
Collaborate with engineering to productionize and monitor models in cloud environments such as AWS SageMaker
Collaborate with engineering to productionize optimization models via batch or real-time pricing APIs (e.g., using AWS SageMaker)
Partner with product, pricing, and revenue strategy teams to define objectives and translate pricing insights into business outcomes
Define and execute model performance measurement strategies, including causal inference and uplift modeling and A/B testing
Present findings, experimental results, and strategic recommendations to senior leadership

Senior Data Engineer

We are looking for a Senior Data Engineer (SDE 3) to build scalable, high-perfor...

Location

India , Mumbai

Salary:

Not provided

Cogoport

Expiration Date

Until further notice

Requirements

6+ years of experience in data engineering, working with large-scale distributed systems
Strong proficiency in Python, Java, or Scala for data processing
Expertise in SQL and NoSQL databases (PostgreSQL, Cassandra, Snowflake, Apache Hive, Redshift)
Experience with big data processing frameworks (Apache Spark, Flink, Hadoop)
Hands-on experience with real-time data streaming (Kafka, Kinesis, Pulsar) for logistics use cases
Deep knowledge of AWS/GCP/Azure cloud data services like S3, Glue, EMR, Databricks, or equivalent
Familiarity with Airflow, Prefect, or Dagster for workflow orchestration
Strong understanding of logistics and supply chain data structures, including freight pricing models, carrier APIs, and shipment tracking systems

Job Responsibility

Design and develop real-time and batch ETL/ELT pipelines for structured and unstructured logistics data (freight rates, shipping schedules, tracking events, etc.)
Optimize data ingestion, transformation, and storage for high availability and cost efficiency
Ensure seamless integration of data from global trade platforms, carrier APIs, and operational databases
Architect scalable, cloud-native data platforms using AWS (S3, Glue, EMR, Redshift), GCP (BigQuery, Dataflow), or Azure
Build and manage data lakes, warehouses, and real-time processing frameworks to support analytics, machine learning, and reporting needs
Optimize distributed databases (Snowflake, Redshift, BigQuery, Apache Hive) for logistics analytics
Develop streaming data solutions using Apache Kafka, Pulsar, or Kinesis to power real-time shipment tracking, anomaly detection, and dynamic pricing
Enable AI-driven freight rate predictions, demand forecasting, and shipment delay analytics
Improve customer experience by providing real-time visibility into supply chain disruptions and delivery timeline
Ensure high availability, fault tolerance, and data security compliance (GDPR, CCPA) across the platform

What we offer

Work with some of the brightest minds in the industry
Entrepreneurial culture fostering innovation, impact, and career growth
Opportunity to work on real-world logistics challenges
Collaborate with cross-functional teams across data science, engineering, and product
Be part of a fast-growing company scaling next-gen logistics platforms using advanced data engineering and AI

Fulltime

Principal Data Scientist

We are seeking a Principal Data Scientist with deep expertise in forecasting and...

Location

United States

Salary:

Not provided

Duetto

Expiration Date

Until further notice

Requirements

MS or PhD in Statistics, Econometrics, Computer Science, Operations Research, or a related quantitative field
10+ years of experience delivering impactful data science solutions in production environments
Expertise in time series forecasting, including classical methods (e.g., ARIMA, Exponential Smoothing, State Space Models) and deep learning (e.g., RNNs, Temporal Fusion Transformers)
Practical experience with Bayesian modeling, including hierarchical models and probabilistic programming (e.g., PyMC3, Stan)
Proficiency with ML/DL frameworks (e.g., PyTorch, TensorFlow, scikit-learn, DARTS) and programming languages (Python, R, SQL)
Familiarity with cloud platforms and MLOps tools (e.g., AWS SageMaker, MLflow) for scalable model development and deployment
Strong communication and presentation skills, capable of conveying complex analytical concepts to non-technical stakeholders
Experience designing model evaluation and impact measurement frameworks, including causal inference

Job Responsibility

Lead the design, development, and deployment of forecasting and pricing models using a blend of classical time series, deep learning and Bayesian statistical techniques
Develop hierarchical forecasting frameworks, including multi-level Bayesian models, that scale across thousands of hotel properties
Build uncertainty quantification frameworks to increase trust and robustness in forecasts
Guide model architecture choices—balancing complexity, interpretability, and operational feasibility
Collaborate closely with engineering to deploy and monitor models in production (e.g., using AWS SageMaker)
Translate model outputs into actionable insights in partnership with product and business stakeholders
Define and execute model performance measurement strategies, including causal inference and uplift modeling
Present findings, experimental results, and strategic recommendations to senior leadership

Senior Manager Data Science, Finance

Seasoned and strategic leader to build and guide Finance Data Science team, resp...

Location

United States , San Francisco

Salary:

254000.00 - 299000.00 USD / Year

Checkr

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in a quantitative field like Statistics, Computer Science, Economics, or equivalent experience
10+ years of experience in data science or quantitative roles with progression of impact and seniority
3+ years of direct people management experience
Deep expertise in SQL, Python, modern ELT and data transformation frameworks (e.g. dbt), key ML and forecasting techniques
Demonstrated ability to develop and execute strategic vision and multi-quarter roadmap for data science function
Exceptional stakeholder management and communication skills with ability to influence executive leaders
Strong business acumen with experience applying data science to solve complex financial problems in B2B or SaaS environment

Job Responsibility

Team Leadership & Development: Hire, mentor, and grow high-performing team of data scientists and analysts
Strategic Planning & Vision: Define and own roadmap for Finance Data Science team
Executive Stakeholder Management: Serve as primary data science partner to Finance leadership team
Oversee Financial Modeling & Forecasting: Guide team in developing models to forecast revenue, costs, and key business metrics
Drive Business Performance & Insights: Lead deep-dive analyses into business trends, unit economics, pricing, and new ventures
Technical Excellence: Set bar for technical rigor ensuring modeling, analysis, and data pipelines are robust and production-ready

What we offer

Learning and development allowance
Competitive cash and equity compensation
100% medical, dental, and vision coverage
Up to $25K reimbursement for fertility, adoption, and parental planning services
Flexible PTO policy
Monthly wellness stipend
Home office stipend
Lunch four times a week
Commuter stipend
Snacks and beverages

Fulltime

International Pricing Manager

Future Leaders Programme – International Pricing Manager (SPARK) | Admiral Group...

Location

United Kingdom , Cardiff

Salary:

Not provided

Admiral Group Plc

Expiration Date

Until further notice

Requirements

MBA from a top business school
Strong numerical skills supported by academic or professional experience
A strategic mindset, demonstrated through past experience (e.g., consulting, project management, or data-focused roles)
Fluency in French, Spanish, or Italian (required for Local Operations route, and highly desired for the International Pricing Team route)

Job Responsibility

Coordinate impactful pricing and data projects from concept to delivery
Contribute to future strategy across pricing, data, and risk
Share insights and recommendations with senior stakeholders
Collaborate with analysts and data scientists
Review pricing structures and past performance to support risk management

What we offer

Up to £3,600 of free shares each year after one year of service
33 days holiday (including bank holidays) when they join us, increasing the longer you stay with us, up to a maximum of 38 days (including bank holidays)
Option to buy or sell up to an additional five days of annual leave
Financial & Mortgage Advice
24-Hour Ecare
Cycle to Work Scheme
Annual Holiday Allowance
Flexible Working
Simply Health
Private Health Cover

Fulltime

Senior Data Scientist, Pricing

You will contribute to the development of a pricing guidance system for hosts, a...

Location

United States

Salary:

177000.00 - 208000.00 USD / Year

Airbnb

Expiration Date

Until further notice

Requirements

5+ years of experience with BS/masters degree, 2+ years of experience with PhD
Experience with experimentation and causal observational analysis
Strong coding skills in SQL and either Python or R
Ability to autonomously set a roadmap for business impact
Strong oral and written communication skills - an ability to communicate complex technical concepts to a non-technical audience
Work authorization (if applicable)
Travel requirements (if applicable)

Job Responsibility

Developing a strong relationship with cross-functional partners in Product, Engineering and Analytics
Writing software (Python, SQL, R) to model, simulate and measure the impact of new pricing features
Creatively diving into data to understand the differential effects of pricing feature launches and turning that understanding into clear insights
Communicating learnings and insights to leaders and partners in a simple and lucid way

What we offer

bonus
equity
benefits
Employee Travel Credits

Fulltime

Senior Data Scientist, Pricing

Airbnb

Location:
United States

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 04, 2026

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Job Posted:March 04, 2026

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Job Posted:
March 04, 2026