🕒 2 days ago
Design, deploy, and maintain data science systems that turn complex research questions and unstructured data into strategic insights, while advancing generative AI, analytics, and computational workflows.
Data Scientist - R01570348
📅 Sep 7
PythonStatistical ModelingMachine LearningData Visualization
📜 Description
- Translate business challenges into structured data science problems aligned with measurable outcomes.
- Develop, monitor, and validate OKRs using advanced statistical techniques.
- Wrangle, cleanse, and transform large datasets for modeling and analysis.
- Communicate data-driven insights through storytelling and visualization.
- Guide modeling decisions, improve model performance, and balance efficiency with business needs.
- Partner with engineering and product teams to implement scalable solutions and promote data literacy.
🛠️ Requirements
- Translate complex business challenges into structured data science problems, ensuring alignment with organizational objectives and measurable outcomes
- Develop, monitor, and validate OKRs using advanced statistical techniques to deliver actionable insights and track progress
- Execute advanced data wrangling, cleansing, and transformation on large, complex datasets to enable robust modeling and analysis
- Deliver impactful data-driven insights through clear data storytelling, utilizing visualization tools to communicate findings effectively to stakeholders
- Apply design thinking methodologies to create innovative analytical solutions and continuously optimize data science workflows and processes
- Lead technical decision-making for modeling iterations, optimizing model performance, and balancing computational efficiency with business requirements
- Collaborate with cross-functional teams, including engineering and product, to implement scalable data science solutions that drive business value
- Promote data literacy and foster a culture of data-driven decision-making by sharing best practices and industry trends across the organization
- Advanced proficiency in Python or R for data wrangling, preprocessing, and statistical analysis
- Expertise in statistical modeling and validation of performance metrics
Full job description
Senior Data Scientist
Job requirements
Experience Range: 5 - 8 years of experience, including at least 5 years of hands-on work in data science, analytics, or related fields, with recent exposure to agentic AI solutions Key Responsibilities:
Required Skills:
Preferred Skills:
Desired Qualifications:
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