Senior Data Scientist
About The Position
CooperVision Inc. seeks a Senior Data Scientist in San Ramon, CA to develop a deep understanding of CooperVision's structured and unstructured data to derive actionable insights that drive strategic business decisions. Effectively communicate insights and data-driven recommendations to business/functional leads, influencing decision-making at the strategic level. Analyze market, sales source, product, modality, design, channel, and geographic trends to uncover opportunities, making data-based recommendations to sales, marketing, and product leadership teams. Collaborate globally and regionally with cross-functional teams, leveraging data insights to build strategic partnerships and drive results. Provide expertise in advanced data science techniques, including machine learning, optimization, simulation, regression, decision trees, neural networks, and clustering for commercial use cases. Own end-to-end project outcomes, from defining business problems, extracting, and analyzing data, developing metrics, building analytical models, and presenting insights to stakeholders. Utilize predictive and prescriptive analytics to enable proactive decision-making and optimization across the organization. Foster innovation and continuous improvement by integrating new data sources and advanced analytics to enhance business processes and decision-making frameworks.
Requirements
- Master’s degree in business analytics, data engineering, or a related field
- Two years of experience with Python
- Two years of experience with SQL
- Two years of experience with Tableau
- Two years of experience with business analytics
- Two years of experience with requirement gathering
- Two years of experience with machine learning
- Two years of experience with regression
- Two years of experience with clustering
- Two years of experience with feature engineering
Responsibilities
- Develop a deep understanding of CooperVision's structured and unstructured data to derive actionable insights that drive strategic business decisions.
- Effectively communicate insights and data-driven recommendations to business/functional leads, influencing decision-making at the strategic level.
- Analyze market, sales source, product, modality, design, channel, and geographic trends to uncover opportunities, making data-based recommendations to sales, marketing, and product leadership teams.
- Collaborate globally and regionally with cross-functional teams, leveraging data insights to build strategic partnerships and drive results.
- Provide expertise in advanced data science techniques, including machine learning, optimization, simulation, regression, decision trees, neural networks, and clustering for commercial use cases.
- Own end-to-end project outcomes, from defining business problems, extracting, and analyzing data, developing metrics, building analytical models, and presenting insights to stakeholders.
- Utilize predictive and prescriptive analytics to enable proactive decision-making and optimization across the organization.
- Foster innovation and continuous improvement by integrating new data sources and advanced analytics to enhance business processes and decision-making frameworks.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Number of Employees
5,001-10,000 employees
