Senior Data Analyst

Job Description

We are looking for a Senior Data Scientist who will also serve as a subject matter expert in the AI and ML domain, and build analytical and statistical machine learning models that will drive business decisions. In this role You will understand user requirements and translate them into AI solutions that turbocharge internal and external user experiences. Many of these AI solutions will be enabled within the core technologies used within CMSO, including Salesforce and ServiceNow. In other instances, you will also be responsible for building custom predictive and prescriptive ML models for preventative system health checks, system log analytics, automated root cause analysis etc.

Responsibilities include:

• Drive requirements for AI related projects, work with internal customers and with ServiceNow and Salesforce Product Managers for features planning, prioritization and implementation
• Understand and apply various statistical methods for data analysis, EDA, hypothesis testing, and drawing meaningful conclusions.
• Apply GenAI, ML and DL concepts, NLP, computer vision, sentiment analysis, topic modeling and graph theory in real world applications to solve business problems
• Develop application-specific interfaces that leverage GenAI capabilities and LLMs to enhance the associate and customer experience.
• Design APIs for performance, real-time applications, scale, ease of use and governance automation.
• Leverage Python, PyTorch, NLTK etc. libraries and frameworks such as Langchain to build AI solutions.
• Training ML models to effectively communicate complex data insights through clear and informative visualizations
• Serves as thought leader in data science and applies deep expertise to drive novel customer experiences
• Adaptive and the desire to learn new technologies.

Technical Experience

• Extensive knowledge of AI supervised, unsupervised and reinforcement methods, GenAI LLM and Python libraries to perform data analysis, building advanced machine learning models and data integrations with source systems and systems of record
• Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, or spaCy
• Very good knowledge and experience with Databases like Postgres, Redshift, MSSQL
• Knowledge and experience in Cloud Environments (Azure, AWS, GCP)
• Experience to read data from multiple sources and cleanse, enhance and analyze the data.
• Ability to integrate data, sourcing data from several Sources including databases, files, API and Server logs.

Preferred Qualifications

• Minimum of 4+ years experience in data analytics, data mining, machine learning, and has employed predictive, prescriptive, conversational or generative AI to solve business problems
• Minimum of 4+ years experience in hands-on design, coding, development and deployment using data science tools such as Python, Tensorflow etc. to build AI solutions
• Minimum 2+ years experience leading teams to deliver solutions and results
• Deep knowledge of ML streams, e.g., natural language processing, computer vision, statistical learning theory and their application in real world situations
• Knowledge of ServiceNow and Salesforce products and features
• Experience working with one of the leading public clouds (AWS, Google, Azure)
• Excellent written and oral communication skills. Be able to work under pressure
• Ability to Multitask, Prioritize and Manage time effectively.
• Strong interpersonal skills and ability to work effectively across teams, functional groups

Basic Requirements

• Bachelor's degree in Data Science, Computer Science, or an IT related field
• Minimum of 4+ years experience in a Data Science related role