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Lead Data Analyst
3 weeks ago
About Us:
Our team thrives at the intersection of curiosity, rigor, and business impact. We are passionate about transforming data into actionable insights, driving strategic decisions and innovation.
Position Overview:
The Data Scientist will play a pivotal role in building, refining, and deploying advanced models that empower the business with predictive and prescriptive insights. You will collaborate with data engineers, business stakeholders, and fellow data scientists to deliver projects from ideation through to production deployment.
Key Responsibilities:
- Model Building: Design and develop robust machine learning and statistical models tailored to solving complex business problems.
- Model Refinement: Continuously monitor, test, and improve models based on feedback, new data, or changing business requirements.
- Model Deployment: Deploy models to production environments, ensuring scalability, stability, and maintainability.
- Data Analysis & Exploration: Analyze large and complex datasets to uncover trends, patterns, and opportunities.
- Collaboration & Communication: Work cross-functionally with business leaders, product managers, analysts, and engineers to understand requirements, translate business needs into analytical solutions, and clearly communicate findings and recommendations.
Required Qualifications:
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, or a related field.
- Proven experience (3+ years) in building, refining, and deploying machine learning/statistical models in a professional setting.
- Strong programming skills in Python, R, or similar languages, with proficiency in machine learning libraries.
Core Competencies:
- Technical Excellence: Demonstrates expertise in applying data science techniques to solve real-world problems.
- Business Acumen: Understands business drivers and challenges, aligning analytical approaches with organizational goals.
