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Sr. Data Scientist

Posted about 21 hours agoViewed

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💎 Seniority level: Senior, 3+ years

📍 Location: United States of America

💸 Salary: 135886.0 - 189000.0 USD per year

🏢 Company: external

⏳ Experience: 3+ years

🪄 Skills: AWSDockerPythonSQLData AnalysisGCPMachine LearningSnowflakeAirflowAlgorithmsData scienceData visualization

Requirements:
  • 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.
Responsibilities:
  • 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.
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