About Business Automation
At Business Automation, we believe that meaningful progress begins when people are empowered to do their best work. Our purpose is to transform complex, time-consuming processes into seamless, intelligent systems that enable teams to operate with greater clarity, speed, and confidence. By reducing manual effort, we create room for ideas to grow, innovation to thrive, and people to truly excel in what they do best.
We don't aim for simple process improvement—we strive to reshape the way the organization works. Through smart automation, data-driven insights, and thoughtful design, we unlock new levels of efficiency and capability. Whether it's accelerating decision-making, simplifying workflows, or enabling smarter business operations, our focus is on delivering solutions that create real, measurable impact.
To us, automation is more than just technology—it is about collaboration, curiosity, and continuous growth. We are driven by the joy of solving real problems, exploring new possibilities, and creating solutions that truly make a difference. Ultimately, we take pride in empowering teams across the organization to work smarter, achieve more with less friction, and experience greater satisfaction in what they do every day.
About the role
What We're Looking For: Automation Data Scientist
We require a Data Scientist to help us automate the process discovery cycle, to empower us to make data driven prioritization decisions in regards to the automation projects and build a process performance monitoring system once the automation has been delivered to production.
You'll be working on:
- Designing, selecting, and engineering features, and building, evaluating, and optimizing predictive and generative models using state‑of‑the‑art machine‑learning techniques.
- Developing, deploying, and maintaining machine‑learning models and pipelines in production environments, ensuring scalability, reliability, and low latency.
- Monitoring model performance, detecting drift, and implementing automated retraining and governance strategies.
- Researching and prototyping advanced statistical and machine‑learning methods to generate actionable insights and drive product innovation.
- Collaborating with cross‑functional teams (product, engineering, design, business) to translate business problems into data‑science solutions with measurable impact.
- Communicating complex technical results and insights to technical and non‑technical stakeholders.
- Keeping up to date with the latest technology trends in data science, machine learning, and large language models, and actively pursuing continuous learning opportunities.
Qualifications:
- 2+ years of practical experience as a Data Scientist.
- Strong problem‑solving skills with an emphasis on product development and delivery.
- Practical experience with NLP, large language models (LLMs), computer vision, multimodal modeling, clustering, and decision‑tree algorithms.
- Hands‑on experience with data‑science and machine‑learning libraries and frameworks such as Python (pandas, NumPy, scikit‑learn, TensorFlow, PyTorch) and related tooling (MLflow, Airflow, Spark) for experimentation and productionization.
- Excellent programming skills in Python, including writing clean, modular, well‑documented code, adhering to software‑engineering best practices (Git version control, unit testing, code reviews, and CI/CD pipelines).
- Ability to understand various data structures and common methods in data transformation and analysis.
- Data‑oriented personality with a passion for empirical, evidence‑based decision‑making.
- Great written and verbal communication skills, capable of translating complex analyses into clear business recommendations.
- A self‑starter mindset, able to work independently while proactively collaborating with cross‑functional teams.
