Salesforce Senior Data Scientist 

India, Telangana 

665957059

Job Category

Job Details

Responsibilities

* As part of the Customer Targeting Algorithms team within the Marketing AI/ML Algorithms & Applications organization, develop machine learning algorithms and statistical models to drive effective marketing and personalized customer experience - e.g., propensity models, uplift models, next-best recommender systems, customer lifetime value, etc.
* Own the full lifecycle of model development from ideation and data exploration, algorithm design, validation, and testing. Work closely with data engineers to develop modeling data sets and pipelines; deploy models in production, setup model monitoring and in-production tuning processes.* Collaborate with stakeholders to translate business requirements into technical specifications, and present data science solutions to technical and non-technical audiences technical and non-technical across the organization.
* Constantly learn, have a clear pulse on innovation across the enterprise SaaS, AdTech, paid media, data science, customer data, and analytics communities.

Required Skills
* 5+ years of experience using advanced statistical and machine learning techniques such as clustering, linear and logistic regressions, PCA, gradient boosting machines (GBM), support vector machines (SVM), neural networks (e.g., ANN, RNN, CNN), and other deep learning algorithms (e.g., Wide & Deep). Must have multiple robust examples of using these techniques to support marketing efforts and to solve business problems on large-scale data sets.
* 5+ years of proficiency with one or more programming languages such as Python, R, PySpark, Java.
* Expert-level knowledge of SQL with strong data exploration and manipulation skills.
* Experience using cloud platforms such as GCP and AWS for model development and operationalization is preferred.
* Experience developing production-ready feature engineering scripts for model scoring deployment.
* Experience transforming semi-structured and unstructured data into features for model development.
* Experience creating model monitoring and model re-training frameworks to validate and optimize in-production performance.
* Must have superb quantitative reasoning and interpretation skills with strong ability to provide analysis-driven business insight and recommendations.
* Excellent written and verbal communication skills; ability to work well with peers and leaders across data science, marketing, and engineering organizations.
* Creative problem-solver who simplifies problems to their core elements.
* Experience with setting up endpoints, lambda functions, and API gateways is a plus.
* B2B customer data experience a big plus. Advanced Salesforce product knowledge is also a plus.

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