About Intermedia

Are you looking for a company where YOUR VOICE is heard? Where you can MAKE A DIFFERENCE? Do you THRIVE in a FAST-PACED work environment? Do you wake every morning EXCITED to work with GREAT PEOPLE and create SUCCESS TOGETHER? Then Intermedia is the place for you.

Intermedia has established itself as a leading provider of cloud communications and collaboration tech that allows companies to connect better. We have a strong track record of growth, profitability, and creating an environment where everyone matters. Everyone. While we are fast-paced and admittedly a bit intense, we promise that you won’t be bored. You will find Intermedia is a place where you can indulge your passion for creating and supporting great cloud technology. What’s more, we always look to promote from within and have many employees who have been with us 10, 15, and 20+ years!

Culture at Intermedia is built on teamwork and transparency. We hold each other accountable and always have each other’s back!

Are you ready to make your mark?

About The Role:

We are seeking a Data Scientist to develop and implement data-driven, AI-powered solutions across the organization. In this role, you will apply analytical, statistical, and programming expertise to clean, aggregate, and interpret large datasets—translating complex information into actionable insights. You will leverage machine learning algorithms, generative AI (Gen AI), and Retrieval Augmented Generation (RAG) methodologies to drive innovation, inform strategic decisions, and effectively communicate findings to both technical and non-technical stakeholders. If you have a passion for turning data into insights using cutting-edge technologies like Gen AI and RAG, thrive in a collaborative environment, and are eager to grow your analytical and machine learning skills, we encourage you to apply. This role offers the opportunity to directly impact our organization’s strategic decisions and innovation.

What you will be doing:

Data Handling & Preprocessing Gather, preprocess, and analyze large volumes of structured and unstructured data (up to terabytes/petabytes) from multiple sources. Use SQL, Python, R, Spark, and other relevant tools in a cloud-native AWS environment. Machine Learning & Modeling Develop and deploy unsupervised and supervised machine learning models, including deep learning solutions. Apply advanced methods in NLP, optimization, and neural networks to solve complex business problems. Integrate Gen AI solutions and RAG approaches to enhance data-driven insights and improve model performance. Generative AI & RAG Experiment with and implement generative AI techniques for tasks such as text generation, content summarization, and data augmentation. Use Retrieval Augmented Generation to enhance model outputs by incorporating external knowledge sources and providing contextually relevant information. Contribute to designing and developing end-to-end pipelines that combine LLMs (Large Language Models) with retrieval systems. Statistical Analysis Utilize sampling, descriptive statistics, hypothesis testing, attribution analysis, multivariate segmentation, and recommender systems. Ensure data quality through comprehensive testing, validation, and performance evaluation of algorithms. Solution Delivery & Scalability Build scalable, custom, and commercial solutions for internal and external customers. Combine business requirements, existing processes, and data knowledge to create effective analytical outcomes. Maintain and optimize ML/AI pipelines to handle large-scale data in an Agile environment. Collaboration & Communication Work alongside fellow data scientists, analysts, and data engineers to solve complex business problems at scale. Contribute to data pipelines, model training, testing, and deployment frameworks. Present insights and recommendations to diverse audiences, ensuring clarity and alignment with strategic goals.

What you will bring to the role:

Basic Qualifications: Bachelor’s degree in computer science, Mathematics, Statistics, Machine Learning, Analytics, Data Science, or a related field. Minimum of 2 years of experience in a data science or analytical role, including relevant coursework or practical projects. Preferred Qualifications Master’s degree in computer science, Statistics, or a related field. 3+ years of experience in a data science or analytical role, including relevant coursework or practical projects. 2 year of hands-on experience in data science, applying machine learning techniques to real-world problems. Exposure to generative AI frameworks, NLP libraries, or retrieval-based solutions (e.g., LLMs, RAG workflows).

Diversity, Inclusion, and Equal Opportunity

We hire, promote, and compensate employees based on their ability to perform their job responsibilities, without regard to race, color, creed, religion, sex, gender, marital status, national origin, ancestry, age, citizenship, physical or mental disability, sexual orientation, or any other basis protected by applicable law (collectively referred to in our Code of Conduct as “Protected Classes”). We do not tolerate employment discrimination in the workplace, and we are committed to making reasonable accommodations for identified disabilities or other limitations as required by all applicable laws. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.