Remoote.app

Work from anywhere. Start here.

JobsFree resume builderCompaniesLog in
Apply

Senior Data Scientist, Business Sales

Posted 2024-11-07

View full description

💎 Seniority level: Senior

📍 Location: United States

🔍 Industry: Advertising technology

🪄 Skills: PythonSQLData AnalysisData MiningMachine LearningNumpyData analysisData miningData sciencePostgresPandasCommunication SkillsAnalytical SkillsCollaborationMicrosoft Excel

Requirements:
  • Technically strong individual with a robust programming background.
  • Strong Data Science background.
  • Willingness to work with internal company teams to address business problems.
Responsibilities:
  • Focus on building predictive models to optimize internal business operations.
  • Identify customers likely to contribute significantly to company revenue.
  • Predict customer churn and develop strategies to mitigate it.
Apply

Related Jobs

Apply
🔥 Senior Data Scientist, Business Sales
Posted 2024-11-07

📍 US

🔍 Advertising technology

  • Strong programming skills in data science.
  • Ability to work with internal teams to understand business challenges.
  • Technically strong individual with a background in data science.

  • Focus on building predictive models for internal business operations.
  • Identify customers likely to contribute significantly to revenue.
  • Predict customer churn to inform company strategies.

PythonData AnalysisData MiningJavaJavascriptMachine LearningNumpyJavaScriptAlgorithmsData analysisData miningData scienceGoPandasAnalytical SkillsCollaboration

Posted 2024-11-07
Apply
Apply
🔥 Senior Data Scientist, Business Sales
Posted 2024-08-30

📍 United States

🧭 Full-Time

🔍 Advertising technology

🏢 Company: StackAdapt👥 1001-5000💰 $711.6k Series A on 2016-01-28Digital MarketingAdvertisingVideo AdvertisingAdvertising PlatformsAd TargetingMobile AdvertisingMachine LearningMarketingAd Retargeting

  • Have a Masters degree or PhD in Computer Science, Statistics, Operations Research, or a related field, with dual degrees a plus.
  • Have the ability to take an ambiguously defined task, and break it down into actionable steps.
  • At least 4 years experience in Sales Optimization Data Science.
  • Have a comprehensive understanding of statistics, optimization and machine learning.
  • Bring an analytical mind to the work blending data science and internal business operations and analytics.
  • Are proficient in coding, data structures, and algorithms.
  • Enjoy working in a friendly, collaborative environment with others.

  • Build predictive and optimization models to guide company resourcing decisions.
  • Build customer acquisition models, that identify high potential customers and their associated values.
  • Make Data Science modeling accessible to non-experts through usage of the right tools for typical prediction tasks.
  • Implement time series forecasting to predict revenue from clients, especially when it is likely to grow or decrease.
  • Write production code, sometimes collaborating with Data Engineers, to implement the novel ML algorithms.
  • Prototype potential algorithms and pipelines, test them using historical data, and iterate to modify based on insights.

PythonData AnalysisData MiningMachine LearningNLTKNumpyC (Programming language)AlgorithmsData analysisData miningData scienceData StructuresGoPandasCommunication SkillsAnalytical SkillsCollaboration

Posted 2024-08-30
Apply
Apply
🔥 Senior Data Scientist, Business Sales
Posted 2024-08-30

📍 United States

🧭 Full-Time

🔍 Advertising

🏢 Company: StackAdapt👥 1001-5000💰 $711.6k Series A on 2016-01-28Digital MarketingAdvertisingVideo AdvertisingAdvertising PlatformsAd TargetingMobile AdvertisingMachine LearningMarketingAd Retargeting

  • Have a Masters degree or PhD in Computer Science, Statistics, Operations Research, or a related field, with dual degrees a plus.
  • Have the ability to take an ambiguously defined task, and break it down into actionable steps.
  • At least 4 years experience in Sales Optimization Data Science.
  • Have a comprehensive understanding of statistics, optimization and machine learning.
  • Bring an analytical mind to the work blending data science and internal business operations and analytics.
  • Are proficient in coding, data structures, and algorithms.
  • Enjoy working in a friendly, collaborative environment with others.

  • Build predictive and optimization models to guide company resourcing decisions.
  • Build customer acquisition models, that identify high potential customers and their associated values.
  • Make Data Science modeling accessible to non-experts through usage of the right tools for typical prediction tasks.
  • Implement time series forecasting to predict revenue from clients, especially when it is likely to grow or decrease.
  • Write production code, sometimes collaborating with Data Engineers, to implement the novel ML algorithms.
  • Prototype potential algorithms and pipelines, test them using historical data, and iterate to modify based on insights.

PythonSQLData AnalysisMachine LearningNumpyC (Programming language)AlgorithmsData analysisData scienceData StructuresGoPandasCommunication SkillsAnalytical SkillsCollaboration

Posted 2024-08-30
Apply