Senior Data Scientist

About Holistic

Holistic is a fast-growing, innovation-driven company dedicated to building and deploying cutting-edge AI solutions across diverse industries, including Space, Manufacturing, AdTech, and FinTech. We combine state-of-the-art research with robust engineering to solve real-world challenges. Our team is on a mission to pioneer transformative AI solutions that elevate businesses globally.

Role Overview

As a Senior Data Scientist at Holistic, you will take the lead in designing, building, and deploying advanced AI models and systems. You will collaborate with cross-functional teams of data scientists, ML engineers, and domain experts to drive innovation. The ideal candidate is hands-on, thrives in a fast-paced R&D environment, and possesses a passion for pushing the boundaries of AI.

Key Responsibilities

• Research & Development: Conceptualize, prototype, and refine machine learning models (including deep learning, reinforcement learning) with a focus on novel architectures (e.g., transformers) and advanced AI techniques.
• End-to-End Model Lifecycle: Lead the entire ML pipeline—from data collection, preprocessing, and feature engineering to model deployment and monitoring.
• MLOps & Deployment: Implement and optimize containerized/cloud-based AI solutions, leveraging platforms like Docker, Kubernetes, and AWS/GCP/Azure for scalable deployment and operational excellence.
• Large Language Models (LLMs): Fine-tune and adapt LLMs for custom tasks, integrating tool functions and agentic frameworks to enhance interactive AI capabilities.
• Computer Vision & Other Modalities: Develop and optimize computer vision solutions for real-time and high-accuracy inference, pushing the envelope on both training and inference performance.
• Performance Optimization: Continuously improve training times, inference speeds, and resource utilization through cutting-edge hardware acceleration techniques and distributed training strategies.
• Collaboration & Mentorship: Work closely with data engineers, software developers, and domain experts to ensure seamless integration of AI solutions. Mentor junior team members and foster a collaborative, innovative culture.
• Scaling & Customization: Design frameworks and best practices for scaling AI solutions and customizing them for various enterprise use cases across multiple industries.

Required Qualifications

• Education & Experience:
• Bachelor’s or Master’s degree (PhD preferred) in Computer Science, Electrical Engineering, Applied Mathematics, or related fields.
• 5+ years of hands-on experience in data science, machine learning, or a related domain, with at least 2 years in a senior or lead capacity.
• Must have a valid work permit in the EU (or ability to secure one independently).
• Technical Expertise:
• Proficiency in PyTorch (preferred) or TensorFlow for deep learning model development.
• Demonstrated experience with transformer architectures, reinforcement learning, and computer vision.
• Strong knowledge of MLOps principles, including CI/CD, model versioning, and container orchestration (Docker, Kubernetes).
• Experience deploying AI models on cloud platforms (AWS, GCP, or Azure) at scale.
• Hands-on knowledge of agentic frameworks and building AI systems that interact autonomously with various tools.
• Experience with LLM model fine-tuning, prompt engineering, and advanced NLP techniques.
• Familiarity with tool function calling to integrate real-time decision-making capabilities into AI pipelines.
• Experience with time series forecasting, CNN-LSTM architectures, and advanced time series algorithms (e.g., ARIMA, Prophet, TBATS, DeepAR).
• GANs, Diffusion models, CNNs, and GNNs (Graph Neural Networks).
• Familiarity with data structures, algorithms, and computational complexity to optimize model training and inference.
• Soft Skills:
• Excellent communication skills to articulate complex concepts to both technical and non-technical stakeholders.
• Strong leadership, problem-solving, and project management abilities.
• Ability to work in a fast-paced, agile development environment.

Preferred/Advantageous Skills

• In-depth experience with advanced reinforcement learning methods, multi-agent RL, or distributed RL approaches.
• Expertise in distributed computing frameworks (Spark, Ray) for large-scale data processing.
• Exposure to HPC (High-Performance Computing) environments for large-scale model training.
• Publications or contributions in top-tier AI/ML conferences or open-source communities.

What We Provide

• Cutting-Edge Tech Stack: Access to high-performance computing clusters, state-of-the-art ML frameworks, and best-in-class MLOps tools.
• Exciting R&D Projects: Work on groundbreaking solutions for multiple sectors—Space, Manufacturing, AdTech, FinTech—ensuring a dynamic, ever-evolving scope.
• Collaborative Environment: Join a team of experts who value knowledge-sharing, continuous learning, and mentorship.
• Growth & Impact: Opportunities to attend conferences, publish research, and make meaningful contributions to the AI community.
• Competitive Compensation & Benefits: Competitive salary, health benefits, flexible work arrangements, and more.