Passionate Data Scientist - Enterprise Intelligence & Leadership Reporting

We are seeking a passionate and data-driven problem solver who thrives on using data science to drive enterprise intelligence and executive decision-making. This role provides an opportunity to work closely with leadership teams, delivering insightful analytics, predictive modeling, and strategic reporting to support high-impact business decisions.

As a Passionate Data Scientist - Enterprise Intelligence & Leadership Reporting, you will leverage AI, machine learning, and advanced analytics to provide actionable insights for executives, cross-functional teams, and enterprise-wide initiatives.

Key Responsibilities{{:}

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• Analyze large datasets to generate insights for C-level executives and leadership team
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• Develop and maintain predictive models to support business strategy and operational decision
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• Create automated dashboards and reports using Power BI, Tableau, or Looker to visualize complex dat
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• Work with SQL, Python, and R to extract, clean, and analyze structured/unstructured dat
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• Collaborate with cross-functional teams in finance, marketing, operations, and technology to align data-driven strategie
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• Provide forecasting models, trend analysis, and scenario simulations for business impact assessmen
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• Communicate complex data findings in a clear, concise, and actionable manner for non-technical stakeholder
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• Identify key KPIs and business metrics to enhance enterprise-wide decision-makin
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• Support leadership with ad hoc analytics and strategic data-driven recommendation
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• 2+ years of experience in data science, business intelligence, or enterprise analytic
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• Proficiency in Python, R, SQL, and statistical modeling technique
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• Hands-on experience with data visualization tools (Power BI, Tableau, or Looker
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• Strong understanding of machine learning techniques, forecasting, and predictive analytic
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• Ability to work with structured and unstructured data to derive business insight
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• Experience working with executives or leadership teams to deliver data-driven insight
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• Strong communication skills with the ability to translate technical findings into business valu
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• Experience with cloud platforms (AWS, GCP, or Azure) for data processin
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• Familiarity with big data technologies (Spark, Hadoop) is a plu
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• Knowledge of natural language processing (NLP) and AI-driven analytic
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• Exposure to enterprise reporting tools and financial modelin
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? Direct exposure to executives and leadership teams for strategic decision-making
. Work on high-impact projects that shape the company's growth and direction
. Opportunity to apply data science in business strategy & enterprise intelligence
. Collaborative and innovative work environment with cutting-edge technology