Data Scientist
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Job Summary: Our client is looking for a Data Scientist to develop and apply models and statistical analysis within our enterprise data science group. This individual will work within a functionally organized Enterprise Data & Analytics group with support from IT, Data Engineering and Governance, Business Intelligence, and Product Management. Its scope encompasses electricity and gas contracts, smart home products, plant operations, trading, and energy services. The role will report to data science lead and will work on cross-functional project teams to deliver repeatable and scalable data solutions to drive value for the organization. This will require both an understanding of the intersection between business economics and the use of algorithms to make or aid business decisions.
Essential Duties/Responsibilities:Understanding of machine learning and deep learning models to select and implement for prediction, classification, and clustering projectsApply machine learning or reinforcement learning to optimize marketing efforts with respect to customer acquisition, retention, pricing, cross-selling, operations and tradingPassion to learn latest AI techniques and explore applications for large language modelsUnderstanding of the business context of projects and able to identify areas where models will be less predictive or have caveats to their predictive powersAbility to translate complex business issues into achievable analytical learning objectives and actionable analytic projectsAbility to communicate and establish good relations with multi-disciplinary teamsProficiency with Python, including pandas, scikit-learnExperience in Spark or PySpark
Minimum Requirements:Bachelors degree in a quantitative field, such as Statistics, Mathematics, Computer Science, Economics, Engineering, or Operations Research required.6+ years of experience in statistical modeling and quantitative analysis in industry or full-time academic research
Preferred Qualifications:Advanced Degree (MS or PhD) in Statistics, Mathematics or Quantitative Marketing with a focus on machine learning is strongly preferred.
Additional Knowledge, Skills and Abilities: Experience with DatabricksExperience with AWS SageMakerExperience with Azure AI StudioRetail electricity or gas experienceComfortable working in Linux Experience with GitExperience with Docker containersAbility to learn and apply new quantitative techniques quickly and appropriatelyAbility to interpret and communicate complex analytics resultsAbility to identify practical business implicationsGood communication skillsKeen attention to detailThink critically about analyses to ensure the conclusions make sense before sharing
Need a minimum of 5-6 years hands-on experience as a Data Scientist to be shortlisted. Hands-on experience in Logistic Regression, Hypothesis testing, Random Forest, XG Boost, Numpy, Pandas , Scikit-Learn is MUST HAVE.
Essential Duties/Responsibilities:Understanding of machine learning and deep learning models to select and implement for prediction, classification, and clustering projectsApply machine learning or reinforcement learning to optimize marketing efforts with respect to customer acquisition, retention, pricing, cross-selling, operations and tradingPassion to learn latest AI techniques and explore applications for large language modelsUnderstanding of the business context of projects and able to identify areas where models will be less predictive or have caveats to their predictive powersAbility to translate complex business issues into achievable analytical learning objectives and actionable analytic projectsAbility to communicate and establish good relations with multi-disciplinary teamsProficiency with Python, including pandas, scikit-learnExperience in Spark or PySpark
Minimum Requirements:Bachelors degree in a quantitative field, such as Statistics, Mathematics, Computer Science, Economics, Engineering, or Operations Research required.6+ years of experience in statistical modeling and quantitative analysis in industry or full-time academic research
Preferred Qualifications:Advanced Degree (MS or PhD) in Statistics, Mathematics or Quantitative Marketing with a focus on machine learning is strongly preferred.
Additional Knowledge, Skills and Abilities: Experience with DatabricksExperience with AWS SageMakerExperience with Azure AI StudioRetail electricity or gas experienceComfortable working in Linux Experience with GitExperience with Docker containersAbility to learn and apply new quantitative techniques quickly and appropriatelyAbility to interpret and communicate complex analytics resultsAbility to identify practical business implicationsGood communication skillsKeen attention to detailThink critically about analyses to ensure the conclusions make sense before sharing
Need a minimum of 5-6 years hands-on experience as a Data Scientist to be shortlisted. Hands-on experience in Logistic Regression, Hypothesis testing, Random Forest, XG Boost, Numpy, Pandas , Scikit-Learn is MUST HAVE.
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