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Amperon

Amperon is a company specializing in data science, currently seeking to expand its team with a Senior Data Scientist to enhance its technological capabilities.

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Jobs at this company:

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🔥 Growth Marketing Manager
Posted 2024-11-21

📍 Texas

🔍 Energy analytics and forecasting

  • 5-7 years’ experience in growth marketing or demand generation marketing for B2B SaaS companies.
  • Proven experience measuring, analyzing, and reporting on campaign success.
  • Proficiency in HubSpot or other CRM tools, WebFlow, 6Sense, and other marketing tools.
  • Analytically focused with a creative mindset for ROI-driven campaigns.

  • Create top-of-funnel leads for the sales team.
  • Own the growth marketing and demand generation program focusing on B2B sales.
  • Develop and execute marketing campaigns across various channels including website, email, webinars, and paid advertising.
  • Build a clear customer journey map and partner with experts to design engaging content.

Data AnalysisGoogle AnalyticsStrategyData analysisGoCommunication SkillsAnalytical SkillsCollaborationProblem SolvingAttention to detailOrganizational skillsPresentation skillsTime ManagementWritten communicationMultitasking

Posted 2024-11-21
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🔥 Senior Data Scientist
Posted 2024-10-17

📍 United States

🧭 Full-Time

💸 100000 - 120000 USD per year

🔍 Energy analytics and forecasting

  • Senior expertise with building machine learning algorithms.
  • Extensive experience with data collection and data processing.
  • Experience with techniques like data cleaning, normalization, and feature engineering.
  • Experience with time series analysis and predictive modeling.
  • Experience with Python and other modeling tools.

  • Implement data validation and cleaning processes to identify and rectify errors or inconsistencies in the incoming data.
  • Build advanced time series forecasting models at scale.
  • Create relevant features that can improve forecasting accuracy, such as lag features, rolling statistics, and domain-specific variables.
  • Continuously monitor the training process and evaluate model performance on the validation set.
  • Deploy well-performing models into a production environment.
  • Analyze historical data and real-time information to determine changes in energy consumption.

PythonMachine LearningAlgorithmsData science

Posted 2024-10-17
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