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Our vision at Petco is Healthier Pets. Happier People. Better World. We’re making things better for pets, people and the planet through our Think Adoption First philosophy, the Petco Foundation and other important initiatives that focus on putting animals first, educating pet parents and reducing our carbon footprint. The journey starts with knowledgeable, passionately engaged associates who are proud to recommend Petco as a place to work, who believe in our Vision and who are committed to delivering a superior customer experience. From our retail stores and our network of Distribution Centers to our Corporate offices, you'll work with others who share your values and commitment. We seek individuals who are passionate about animal welfare, have great people skills and are driven to grow and advance in their careers with us. Our ongoing growth is creating exceptional opportunities for professional development and personal enrichment throughout our organization.

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👥 1001-5000💰 $250,000,000 Post-IPO Equity over 1 year ago🫂 Last layoff about 2 years agoWomen'sBiotechnologyMedicalGeneticsHealth Diagnostics
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🔥 Sr. Data Scientist
Posted 1 day ago

📍 United States of America

💸 135886.0 - 189000.0 USD per year

  • 3 years of experience with consumer pricing concepts such as price elasticity, price optimization, demand forecasting, or consumer segmentation
  • building models in Python using causal inference, predictive modeling, time series forecasting, optimization, econometrics or statistics to optimize decision-making
  • analyzing enterprise-level multi-dimensional data sets stored in Google Big Query, Snowflake, Amazon Redshift, or similar enterprise database with tools including Python and SQL
  • deploying machine learning algorithms using AWS, GCP, Airflow, Terraform, or Docker
  • presenting analytical methodology and results to non-technical audiences.
  • Create algorithms that drive company pricing and promotion strategies and engines.
  • Build and iterate algorithms and platforms for pricing and promotions strategies.
  • Prototype, test, deploy, and measure new pricing and promotions models and partner with data engineering teams to automate and productionize systems.
  • Apply econometric, statistical models and machine learning to explain and predict business impacts of pricing and promotions decisions.
  • Design, execute, and assess pricing and promotion experiments to drive both top and bottom line returns.
  • Utilize and continually learn latest modeling techniques to identify optimal price and promotions, including Bayesian optimization, surrogate modeling, causal inference, and others.

AWSDockerPythonSQLData AnalysisGCPMachine LearningSnowflakeAirflowAlgorithmsData scienceData visualization

Posted 1 day ago
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