Compunnel, Inc.
Join Client and be part of transforming the energy landscape with smarter, cleaner, and more connected solutions. Our Data Scientists at Client Consumer combine business acumen with technical expertise to power informed decisions and enhance customer experience. In this role, you'll apply hands-on data science techniques while learning and contributing to the company’s strategic and financial goals.
Key Responsibilities:
Embrace and contribute to a culture grounded in humility, curiosity, and impact
Clean, process, and analyze data using tools such as Python, PySpark, and Databricks
Build and maintain predictive models and business intelligence dashboards
Collaborate cross-functionally to deliver insights that support profitable, customer-centric decisions
Work with large datasets to uncover actionable business and customer insights
Communicate findings clearly to stakeholders in both technical and non-technical
terms Qualifications:
0–3 years of relevant experience in data analysis or related field Master’s degree in a quantitative discipline (e.g., Statistics, Math, Computer Science, Engineering), or equivalent practical experience Familiarity with statistical software and database querying languages Preferred Qualifications:
Hands-on experience using data science to drive customer or business outcomes Strong programming proficiency in Python and libraries such as: pandas, NumPy, scikit-learn, PySpark, XGBoost, lifelines, Matplotlib Knowledge of core techniques:
Frequentist and Bayesian statistics Forecasting, machine learning, NLP, causal inference, and optimization Familiarity with cloud-based data platforms and data storage best practices Effective collaborator and communicator across both technical and business teams Email ID * This field is required Please enter valid emailId. Cell phone * This field is required Please enter valid cell phone. First Name * This field is required Please enter valid first name. Last Name * This field is required Please enter valid last name.
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terms Qualifications:
0–3 years of relevant experience in data analysis or related field Master’s degree in a quantitative discipline (e.g., Statistics, Math, Computer Science, Engineering), or equivalent practical experience Familiarity with statistical software and database querying languages Preferred Qualifications:
Hands-on experience using data science to drive customer or business outcomes Strong programming proficiency in Python and libraries such as: pandas, NumPy, scikit-learn, PySpark, XGBoost, lifelines, Matplotlib Knowledge of core techniques:
Frequentist and Bayesian statistics Forecasting, machine learning, NLP, causal inference, and optimization Familiarity with cloud-based data platforms and data storage best practices Effective collaborator and communicator across both technical and business teams Email ID * This field is required Please enter valid emailId. Cell phone * This field is required Please enter valid cell phone. First Name * This field is required Please enter valid first name. Last Name * This field is required Please enter valid last name.
#J-18808-Ljbffr