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Data Scientist - Job Opportunity at Intermedia.net, Inc.

Remote, US
Full-time
Mid-level
Posted: April 27, 2025
Remote
USD 120,000 - 170,000 per year based on remote US location and mid-level requirements with specialized Gen AI expertise

Benefits

Career advancement opportunities with proven internal promotion track record
Collaborative and transparent work culture
Fast-paced, innovative environment focused on cloud technology
Stable company with long-term employee retention

Key Responsibilities

Lead development of AI-powered solutions using cutting-edge Gen AI and RAG methodologies
Design and implement scalable ML/AI pipelines for large-scale data processing
Drive statistical analysis and hypothesis testing for business insights
Architect end-to-end solutions combining LLMs with retrieval systems
Collaborate cross-functionally to translate complex data insights into actionable strategies

Requirements

Education

Bachelor's degree in Computer Science, Mathematics, Statistics, Machine Learning, Analytics, Data Science, or related field

Experience

Minimum 2 years in data science or analytical role

Required Skills

SQL Python R Spark AWS Machine Learning Deep Learning NLP Neural Networks Generative AI RAG Statistical Analysis Data Pipeline Development Communication Skills
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Sauge AI Market Intelligence

Industry Trends

The emphasis on Generative AI and RAG indicates Intermedia is positioning itself at the forefront of AI innovation in cloud communications The focus on large-scale data processing (terabytes/petabytes) suggests a significant investment in data infrastructure and analytics capabilities The combination of cloud-native AWS environment and ML/AI requirements reflects the industry's shift toward integrated cloud-AI solutions

Role Significance

Likely part of a specialized data science team of 5-8 members within a larger technical organization
Mid-level individual contributor with significant technical autonomy and strategic input capabilities

Key Projects

Implementation of RAG systems for enhancing cloud communication services Development of custom ML solutions for business process optimization Creation of scalable data processing pipelines Integration of generative AI capabilities into existing products

Success Factors

Strong foundation in both traditional ML/AI and emerging Gen AI technologies Ability to balance technical excellence with business value delivery Experience with large-scale data processing and cloud environments Excellence in cross-functional communication and stakeholder management

Market Demand

Very high demand position due to the rare combination of traditional data science skills with cutting-edge Gen AI and RAG expertise. Market currently shows significant shortage of professionals with this specific skill set.

Important Skills

Critical Skills

Gen AI and RAG expertise - crucial for company's innovative direction Cloud-native development skills - essential for AWS-based infrastructure Statistical analysis capabilities - fundamental for data-driven decision making Large-scale data processing experience - critical for handling enterprise-level datasets

Beneficial Skills

Knowledge of cloud communications industry Experience with specific LLM frameworks Familiarity with MLOps practices Business analysis skills

Unique Aspects

Rare combination of traditional data science with cutting-edge Gen AI focus
Emphasis on RAG methodology indicates advanced approach to AI implementation
Strong internal promotion track record suggesting excellent career growth potential
Balance of startup-like innovation with established company stability

Career Growth

2-3 years in role before advancement, accelerated by successful Gen AI implementations

Potential Next Roles

Lead Data Scientist ML/AI Architect Technical Product Manager - AI/ML Data Science Manager

Company Overview

Intermedia.net, Inc.

Established cloud communications and collaboration technology provider with strong market presence and focus on innovation

Leading provider in cloud communications sector with emphasis on technical excellence and employee retention
US-based operation with remote-first approach indicating modern workplace practices
Fast-paced, collaborative environment with strong emphasis on employee voice and impact
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  • Salary estimates and market demand analysis
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  • Critical success factors and key skills
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