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Snowflake Data Scientist for Customer Success

Snowflake Data Scientist for Customer Success

Siemens

4 - 8 years

0 Lacs

pune all india

Posted:5 days ago| Platform: Shine logo

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Skills Required

data science statistics computer science applied mathematics machine learning data visualization snowflake dbt salesforce crm python programming saas business metrics customer lifecycle dynamics tableau cloud

Work Mode

On-site

Job Type

Full Time

Job Description

As a Customer Health Data Scientist in the Software business of our innovative data-driven customer success team, you will play a key role in creating a sophisticated customer health scoring system. Your primary responsibility will involve designing and implementing core algorithms and calculations that power our customer health scoring system. Working alongside a Data Architect and BI Analysts, you will develop a robust methodology for measuring customer health, establishing warning thresholds, and creating insightful reports. Your focus will be on building predictive models that accurately identify at-risk customers and enable proactive intervention to prevent churn. Key Responsibilities: - Design and develop core algorithms and methodology for the customer health scoring system - Establish warning thresholds based on statistical analysis of historical customer behavior - Create predictive models to identify at-risk customers before traditional metrics indicate trouble - Develop reporting systems to effectively communicate customer health insights - Build a semantic layer for key data sets to enable AI applications - Collaborate with the Data Architect to ensure data structure supports analytical models - Work with BI Analysts to implement and operationalize models and calculations - Perform exploratory data analysis to uncover patterns and insights in customer behavior - Develop segmentation approaches to customize health metrics for different customer types - Continuously refine scoring methodologies based on observed outcomes - Translate complex statistical findings into actionable recommendations for stakeholders - Document all models, algorithms, and methodologies for sustainability and knowledge transfer Qualifications Required: - Bachelor's degree in Data Science, Statistics, Computer Science, Applied Mathematics, or related field - 4+ years of experience in data science or advanced analytics roles, preferably in a SaaS environment - Strong background in statistical modeling and machine learning algorithm development - Proficiency in Python programming and data science libraries (e.g., pandas, scikit-learn) - Experience with Snowflake or similar cloud data platforms, as well as dbt - Ability to design and implement scoring models based on multiple data sources - Knowledge of data visualization and reporting methodologies - Understanding of SaaS business metrics and customer lifecycle dynamics - Excellent communication skills and problem-solving capabilities - Self-motivated with the ability to work independently in a dynamic environment Additional Company Details: This job is a hybrid role requiring you to be in the Siemens Pune office for at least three days each week and work according to US time zones for at least three days per week. We offer a collaborative and innovative work environment where you can apply advanced data science techniques to solve real business challenges. Join our dynamic team of data and SaaS experts and contribute proactively to shaping the future of industrial software. Enjoy the flexibility of choosing between working from home and the office, along with great benefits and rewards that come with being part of a global leader like Siemens Software. As a Customer Health Data Scientist in the Software business of our innovative data-driven customer success team, you will play a key role in creating a sophisticated customer health scoring system. Your primary responsibility will involve designing and implementing core algorithms and calculations that power our customer health scoring system. Working alongside a Data Architect and BI Analysts, you will develop a robust methodology for measuring customer health, establishing warning thresholds, and creating insightful reports. Your focus will be on building predictive models that accurately identify at-risk customers and enable proactive intervention to prevent churn. Key Responsibilities: - Design and develop core algorithms and methodology for the customer health scoring system - Establish warning thresholds based on statistical analysis of historical customer behavior - Create predictive models to identify at-risk customers before traditional metrics indicate trouble - Develop reporting systems to effectively communicate customer health insights - Build a semantic layer for key data sets to enable AI applications - Collaborate with the Data Architect to ensure data structure supports analytical models - Work with BI Analysts to implement and operationalize models and calculations - Perform exploratory data analysis to uncover patterns and insights in customer behavior - Develop segmentation approaches to customize health metrics for different customer types - Continuously refine scoring methodologies based on observed outcomes - Translate complex statistical findings into actionable recommendations for stakeholders - Document all models, algorithms, and methodologies for sustainability and knowledge transfer Qualific

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Snowflake Data Scientist for Customer Success