
Website Compunnel Inc.
Are you passionate about using data to drive meaningful business impact?
Do you thrive in a culture of humility, curiosity, and results?
If so, Compunnel Inc. wants you on our team!
πΌ Position: Data Scientist
π Location: Fully Remote
π Job Type: Full-Time
π’ Company: Compunnel Inc.
π Role Overview
As a Data Scientist at Compunnel Inc., youβll play a key role in turning complex data into actionable insights that influence strategic decisions. You’ll collaborate cross-functionally, develop models and dashboards, and explore customer behaviours to enhance business profitability.
β Key Responsibilities
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Embrace and promote our culture of humility, curiosity, and impact
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Process and analyse large datasets using Python, PySpark, and Databricks
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Build predictive models, dashboards, and data pipelines
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Gain hands-on experience while learning and applying advanced analytical methods
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Provide data-driven insights to help business partners make smarter, more profitable decisions
π Minimum Requirements
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5+ years of experience in data analysis or a related field
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Masterβs degree in a quantitative field (or equivalent experience)
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Experience with statistical tools and database languages
β Preferred Qualifications
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PhD in a quantitative discipline
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Strong background in:
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Python packages: PySpark, NumPy, pandas, scikit-learn, XGBoost, Matplotlib, lifelines
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Statistical & ML techniques: frequentist/Bayesian methods, forecasting, NLP, causal inference, optimisation
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Experience improving customer experience and profitability via data science
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Proficiency in version control systems
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Skilled in cloud-based data access and collaboration
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Excellent communicator with the ability to present insights to both technical and non-technical teams
π‘ Why Join Compunnel Inc.?
At Compunnel, we donβt just analyse data β we use it to drive real-world business transformation. Join a team where your insights matter, your growth is supported, and your work is impactful.
To apply for this job email your details to dheerajkumarverma123@gmail.com