Sr. Data Scientist

Job Summary

Develop and implement analytics techniques to transform data into meaningful information to support business goals. Spearhead Next-Gen analytics projects in support of a strategic transformation to an intelligent, AI/ML-driven framework designed to reduce manual intervention, optimize resource allocation, and deliver substantial operational cost savings. Lead modernization initiatives in collaboration with Product Management, Operations, and Executive Leadership.

Responsibilities

• Synthesize technical ML requirements with high-level business goals and apply data modeling, machine learning, and natural language processing to extract and analyze information from large structured and unstructured datasets to develop technically sound intelligence frameworks aligned with operational cost-saving targets and product roadmaps.
• Design and implement an end-to-end real-time streaming data pipeline architecture to integrate Federos with ServiceNow leveraging Debezium for real-time event Change Data Capture (CDC), streaming data changes via AWS Kinesis for high-throughput low-latency data processing, and utilizing DB-SCAN algorithm for AI/ML based multi-dimensional event correlation.
• Ensure that the ML output is persistent in AWS S3, which acts as the trigger for a serverless AWS Lambda function responsible for updating ServiceNow via REST APIs with refined clustering and correlation insights.
• Act as a technical consultant for all Customer Experience (CX) matters when interacting with the internal MSI team as well as Qualtrics and recommend data-driven solutions to key stakeholders.
• Perform Root Cause Analysis (RCA) using LLMs to identify primary failure points within clustered events, and provide Operations Engineers with actionable insights for accelerated debugging and resolution.

Requirements

• Masters degree + 1 years experience.

Qualifications

• Experience with data modeling, machine learning, and natural language processing.
• Knowledge of AWS services such as S3, Kinesis, and Lambda.
• Experience with real-time streaming data pipelines and CDC.
• Strong problem-solving and analytical skills.
• Ability to work independently and collaborate with cross-functional teams.

Skills

• Data modeling
• Machine learning
• Natural language processing
• AWS services
• Real-time streaming data pipelines
• DB-SCAN algorithm
• Root Cause Analysis (RCA)

Benefits

• Incentive Bonus Plans
• Medical, Dental, Vision benefits
• 401K with Company Match
• 10 Paid Holidays
• Generous Paid Time Off Packages
• Employee Stock Purchase Plan
• Paid Parental & Family Leave

Pay

Target Base Salary Range: $96,928 to $150,000 USD

Schedule

Telecommuting permitted up to 3 days per week.