Data Scientist – AI, LLMs & Data Pipelines

Job Overview

This role is for our US-based Media Analytics client account, a distributed SaaS company using AI to power media monitoring and analysis. Their platform enables clients to understand what’s being said in the world and why it matters—using LLMs, data pipelines, and custom metrics to turn raw data into actionable insights. We are looking for a high impact Data Scientist to help reimagine and transform the way the organization operates and deliver products to its clients. This is a strategic role that blends advanced data science, large language models (LLMs), and product thinking to drive simplicity, usability, quality, and operational efficiency across the company. This role is intended for someone with 5+ years of experience, a deep understanding of LLMs (especially OpenAI’s ecosystem), and the skills to hit the ground running alongside our existing AI/ML team. You will work at the intersection of AI innovation, operational design, and client experience—bringing technical rigor, business intuition, and creative energy to solve complex challenges.

Key Responsibilities

• LLM-led Innovation: Build and deploy LLM-powered tools and workflows that simplify analyst work, reduce errors, and accelerate delivery.
• Operational Transformation: Understand operational processes and create intelligent, scalable solutions that eliminate complexity and manual effort.
• Product Evolution: Partner with product and operations teams to infuse intelligence and automation into client-facing platforms.
• Client-Centric Design: Translate client pain points and product gaps into practical, data-driven AI solutions that enhance experience and outcomes.
• Rapid Experimentation: Prototype fast, test early, iterate often. Maintain speed without sacrificing accuracy or quality.
• Cross-Functional Collaboration: Work closely with engineering, product, client success, and operations teams to bring ideas to life.
• The candidate’s day-to-day job will include the following tasks:
• Own and operate data pipelines: Run, troubleshoot, and improve the scripts and workflows that move and transform our data—upgrading these to use workflow orchestration tools for robustness and automation.
• Work with LLMs: Fine-tune models, conduct reinforcement learning with human feedback (RLHF), and support preference-review workflows.
• Model evaluation & monitoring: Analyze results and report on the effectiveness of AI models and data labeling efforts using both established and novel benchmarks.
• Thematic extraction at scale: Help identify and surface underlying themes, narratives, and sentiment across vast media datasets.
• Metric innovation: Derive new ways to quantify media content and influence using observed patterns and domain insight.
• Collaborate & iterate: Partner closely with the key stakeholders (such as Lead Data Scientist, members of Engineering, Products & Operations team) to evolve our AIand ML-powered systems.
• Secure, scalable coding: Contribute high-quality, secure code in a cloud-based environment.

Requirements & Skills

• 5+ years of hands-on experience as a data scientist or ML engineer, with demonstrated ownership of projects in production, and a minimum of 2 years’ experience with LLM’s.
• Proven experience applying LLMs and generative AI to real-world business problems.
• Strong Linux skills – comfortable navigating and scripting in a CLI-first environment
• Expert Python skills – you write clean, maintainable, tested, and efficient code
• Deep experience working with OpenAI models and APIs, including prompt engineering, finetuning and evaluation
• Fluent in SQL with ability to work efficiently with PostgreSQL datasets
• Experience using Docker for local and production development
• Proficiency with LangChain for building multi-step LLM workflows
• Effective remote communication and collaboration, especially in a distributed team with meetings on US Eastern Time
• Strong business acumen—able to connect technical solutions to operational and client
• value.
• Startup-style drive, agility, and hands-on mindset—you ship, not just ideate.
• Creativity and experimentation—willing to try, fail, and improve.
• Exceptional communication skills—can explain com plex ideas simply and
• persuasively.
• Proven experience applying LLMs and generative AI to real-world business problems.
• Deep proficiency in Python, NLP, and AI frameworks (e.g., Hugging Face,
• LangChain), vector databases, and prompt engineering.
• Strong business acumen—able to connect technical solutions to operational and client
• value.
• Startup-style drive, agility, and hands-on mindset—you ship, not just ideate.
• Creativity and experimentation—willing to try, fail, and improve.
• Exceptional communication skills—can explain complex ideas simply and
• persuasively.
• Minimum 3–5 years of experience in AI/ML roles, preferably in B2B or SaaS
• environments.
• Bachelor's or Master's in Computer Science, Data Science, AI, or related field.
• Experience with AWS cloud services (EC2, S3, etc.)
• Familiarity with workflow orchestration tools
• Knowledge of media analytics, journalism, or influence measurement
• Prior work with data labeling, theme detection, or benchmarking model output