Salesforce AI Specialist

Job Description

Watch our video to discover how we create meaningful interactions to drive human progress.About Customer ExperienceThe Customer Experience (CX) organization will provide a common interface to customers including account and relationship management, acting as the voice of the customer internally and creating demand across our business groups. The CX organization structure ensures that our customers benefit from dedicated management attention and from our teams deep understanding of local markets. CX is also responsible for ensuring strong alignment between our customer-facing sales and delivery teams in each account.Job DescriptionData Science & Analytics (DAS) consists of the interpretation and analysis of data using statistical techniques, visualisation, and predictive analytics. Covers the development and implementation of databases, data collection systems, data analysis, and other strategies that optimise statistical efficiency and quality. Comprises the identification, analysis, and interpretation of trends or patterns. Works closely with business analyst and product manager to advise and jointly brainstorm on how analytics can assist in larger problem solving. Covers the blending of historical data from available customer network data sources, public information, field reports, or purchased sources and the performing of analysis to support business and product decisions. The Data Scientist handles crude data using the latest technologies and techniques which also comprises deep insight and knowledge in predictive analytics. Performs necessary analyses and presents acquired knowledge to his associates in an informative way. Integrates, centralises, protects, and maintains data sources. Ensures database accessibility to relevant stakeholders within the organisation and takes care for safety measures to keep stored data safe. Supports software engineering with specialised knowledge on big data processing.Job Responsibilities & CompetenciesUse strong business acumen, as well as an ability to communicate findings, and mine vast amounts of data for useful insights. Use these insights to influence how an organisation approaches business challenges. Use a combined knowledge of computer science and applications, modelling, statistics, analytics, and maths to solve problems Extract data from multiple sources. Analyze data from multiple angles, looking for trends that highlight problems or opportunities Communicate important information and insights to business leaders Make recommendations to adapt existing business strategiesOverall responsibility of specified technical area. Leads and executes technical activities and projects within own responsibility area. Plans, designs, executes, analyses, reports and documents items in own area. Writes requirements, specifications and other guiding documentation for R&D from technical area point of view. Works mainly inside own process area in technical issues. Develops tools, methods and processes linked to the job. Estimates work amounts in own process area. Supports resource planning and organising. Consults, supports and guides own technical areas external interfaces. Is responsible for sharing knowledge and training in his / her expertise area. Seeks and communicates cost efficient solutions. Participates in problem isolation and resolution solving for serious problems. Gives technical support for Product Management, Customer Interface and other business lines. Promotes change in his / her environment. Has deep insight and knowledge in predictive analysis.Key Competencies

• Data analytics
• Machine learning
• Cloud Computing/Edge Clouds
• Cognitive Networks
• Customer Requirement Management
• Feasibility Studies and requirement analysis
• Software Programming
• Software Testing
• Software Architecture and Design
• Agile and continuous Delivery and methodologies
• Solution Architecture
• Directs Work
• Cultivates Innovation
• Drives Vision and Purpose

QualificationsManagement experience / Achieved advanced skills and knowledge within a specific professional discipline involving the integration of theory and principles with organisational practices and precedents. Typically requires 4-6 years relevant experience and/or a graduate equivalent (or higher) degree.Hands on experience in leading AI / Machine Learning projects independently.

• Strong problem-solving skills with an emphasis on product development.
• Experience using statistical computer languages (R, Python, SAS, SPSS, Minitab, Salesforce Discovery etc.) to manipulate data and draw insights from large data sets.
• Experience working with and creating data architectures.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Excellent written and verbal communication skills for coordinating across teams.
• A drive to learn and master new technologies and techniques.
• We re looking for someone with experience manipulating data sets and building statistical models.

,

Keyskills :
voice of the customerstrong business acumenartificial neural networksbig datamusic makingdata analysisdata collectionproblem solvingneural networks