Principal Data Scientist Insights & Intelligence

Accountabilities:

• Partner with stakeholders to define business problems, translate them into analytical questions, and design rigorous data science solutions

• Develop statistical models, machine learning systems, and analytical frameworks to generate actionable insights for decision-making

• Build and deploy production-grade data science applications and tools (e.g., dashboards, ML apps, decision-support systems)

• Write scalable, high-quality Python code and develop data pipelines using cloud platforms such as AWS and Databricks

• Conduct deep exploratory and diagnostic analysis, ensuring data quality, validating assumptions, and refining methodologies

• Deliver insights through dashboards, reports, presentations, and direct engagement with business and executive stakeholders

• Own the technical rigor and business impact of analytical outputs, ensuring defensible and reliable recommendations

• Continuously evaluate and adopt advanced analytical techniques to improve solution quality and impact

Requirements:

• 5+ years of hands-on experience in data science, analytics, or a closely related technical field

• Strong proficiency in Python, SQL, and Git for production-level development

• Deep understanding of statistical modeling, machine learning algorithms, and applied analytics techniques

• Proven experience deploying machine learning models into production environments

• Strong ability to translate ambiguous business problems into structured analytical frameworks

• Experience with cloud-based data platforms such as AWS and Databricks is highly preferred

• Familiarity with tools such as PySpark, Streamlit, or Dash for building scalable analytics applications

• Excellent communication skills with the ability to influence and advise both technical and executive stakeholders

• Strong problem-solving mindset, intellectual curiosity, and ability to operate in ambiguous environments

• Demonstrated ownership of end-to-end analytical projects with measurable business impact

• Knowledge of advanced techniques such as causal inference, forecasting, optimization, or Bayesian methods is a plus

Benefits:

• Competitive base salary ranging from USD 113,900 to USD 170,900 depending on experience and location

• Eligibility for performance-based bonuses and potential overtime or shift differentials

• Comprehensive health, dental, vision, life, and disability insurance coverage

• Paid time off, including vacation, personal days, and company holidays

• Retirement and savings plans with employer support

• Eligibility for long-term incentive programs for senior-level roles

• Flexible hybrid/remote work arrangement with a 9/80 schedule option (every other Friday off)

• Career development opportunities in advanced analytics, AI, and enterprise-scale data science

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
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