Job/Soft skill training

Health insurance

Professional degree assistance

Office cab/shuttle

Cafeteria

International/On-site exposure

Child care facility

Free meal

Office gym

Course reimbursements

Annual leaves

Rewards & recognition

Paternity leaves

Joining bonus

Recreational activities

Relocation bonus

Mental health wellbeing

Joining goodies

Maternity leaves

Performance bonus

FedEx Express Reviews by Employees

Operations Executive

Team Lead Operations

Operation Support Agent

Customer Service Executive

Customer Care Executive

Territory Sales Manager

Operations Manager

Operation Support Executive

Territory Manager

Supervisor

Team Lead

Customer Service Representative

Data Analyst

Inside Sales Representative

Full Stack Developer

Senior Executive Operations

Courier Boy

Station Service Agent

Market Analyst

Customer Service Associate

Operation Supervisor

Executive Accountant

HUB Service Agent

Warehouse Executive

Operations Associate

Operation Assistant

Clearance Administrator

Operations Support Agent

Clearance Broker

Senior Executive

Delivery Boy

Executive

Customer Relation Representative

Customer Support Executive

Manager OPS

Senior Territory Manager

Field Executive

Customer Care Representative

Back Office Executive

Executive Assistant

Senior Sales Coordinator

Account Assistant

Financial Accountant

Pricing Analyst

Senior Marketing Analyst

Clearance Support Admin

Senior Operations Support Agent

Data Entry Operator

Logistics Executive

Operations Specialist

Credit/Control Executive

Security Agent

Dispatcher

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!

FedEx - Data Scientist - Customer Analytics  | iimjobs.com