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Fedex Trade Networks Transport & Brokerage Reviews by Employees

Responsibilities- - Deep-dive into Customer Behavior: Analyze customer interactions across various touchpoints to identify patterns and trends. - Segmentation: Create customer segments based on behavioral, demographic, and other relevant factors to tailor marketing strategies. - Predictive Modelling: Develop predictive models to preempt customer churn, identify high-value customers, develop growth & loyalty models. - Maximize Customer Lifetime Value (CLTV): Develop CLTV to assess long-term customer worth and prioritize retention efforts. - Data-Driven Decision Making: Provide actionable insights and recommendations to improve customer acquisition, retention, upselling, and cross-selling. - Cross-Functional Collaboration: Work closely with various cross functional teams (internal analytics team, marketing, sales, and other commercial teams) to build consensus and align data-driven insights with business goals. - Strong domain knowledge/ Business acumen: Previous experience in marketing/Customer analytics roles aligns well with the requirements of the position. Proven track record of leveraging data to drive customer acquisition, growth and retention efforts. - Develop and deploy Data science/machine learning models on Azure cloud platform - Implement data pipelines using Azure Data Factory to automate data ingestion and transformation. - Collaborate with other data scientists & MLOps engineers to operationalize advanced models on Azure. Qualifications & Specifications- - Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Marketing, or Management. Advanced degree preferred. - Proven Data Science Expertise: Minimum of 5 years of experience in data science, with a strong focus on marketing and customer analytics. - Cloud Proficiency: Demonstrated experience building and deploying models on cloud platforms, preferably Azure. - Cloud Technologies: Strong familiarity with Microsoft Azure tools and services, including Azure Data Factory and Databricks. - Advanced Modeling and Optimization: Proven ability to apply advanced statistical and machine learning techniques to solve complex customer lifecycle problems. - Data Visualization and Storytelling: Exceptional skills in data visualization to effectively communicate insights to both technical and non-technical audiences. - Effective Communication: Strong written and verbal communication skills, including the ability to present complex technical concepts to senior leadership and executive teams. - Insight Generation: A keen eye for identifying trends, patterns, and opportunities within data. - Problem-Solving: A strong problem-solving mindset and the ability to think critically to address challenges.

Bangalore

FedEx - Data Scientist - Customer Analytics 

Job Description for FedEx - Data Scientist - Customer Analytics  in FEDEX EXPRESS TRANSPORTATION AND SUPPLY CHAIN SERV in  Bangalore for (5-8) years of experience. Apply Now!