Product Data Scientist

PI.EXCHANGE is a deep-tech scale-up focused on the mission of democratizing data science and providing AI & predictive analytics services. Our business is centered around our three products: Demand Forecasting Studio, Customer Insights Studio and FlexiBuild Studio.

Our vision is to create a platform where people, even without formal training in data science like commercial managers, software engineers or business analysts can easily build, deploy and use machine learning predictions to solve real business problems, in minutes. We aim to bring to our customers a simple and cost-efficient way to build smart applications and to supercharge their businesses with the power of Data Science and Machine Learning.

At PI.EXCHANGE, we are building world-first technologies. We are constantly pushing boundaries and challenging the status quo, on a daily basis. As we are scaling up, we are looking for awesome teammates, from data scientists and software engineers to product designers and sales experts to join our team. If you are keen, we love to talk to you!

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THE ROLE

As a Product Data Scientist, you will help us take our products (with a heavy focus on our Demand Forecasting Studio) to the next level through your data science and programming expertise, and apply them to real-world business problems while building solutions for our enterprise clients using our suite of products. The role is a mix of development work focused on building algorithms and core data science modules of our products, plus client facing as and when the need arises. You will be working collaboratively within the Data Science team and across different teams in the company. Key responsibilities are:

• Developing new data-science / ML functions across products;
• Taking charge of existing code base for continuous maintenance, bug fixing, and improvement;
• Working with the Software/DevOps Engineering team to brainstorm ideas, develop new features and improve the product, delivering them as per the roadmap and release schedule;
• Participate the design process for new features as a representative from the Data Science team, collaborating and sharing knowledge with product managers/analysts, software/DevOps engineers and UI/UX designers;
• Supporting our Sales/BD, Marketing, and Community Development teams with:
• Client facing: Developing and demonstrating use cases on the Engine to sales leads, as well as supporting existing and incoming clients with on-boarding and troubleshooting their data science / ML projects;
• Knowledge: Articulating and explaining new capabilities and their applicability to various business use cases and their limitations.
• Contribute to the evangelization of our product and culture internally and externally.

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ABOUT YOU

• Real-world experience in working with customers to develop and deploy Data Science and ML solutions for one or more of the following use cases: demand forecasting & planning, inventory planning, revenue optimization, price optimization, churn prediction & prevention in manufucturing, wholesale distribution, retail and/or logistics/supply chain;
• Solid analytical thinking and problem-solving skills and can break a complex problem into smaller and solvable pieces;
• Hands-on experience and demonstrable ability to code fluently in Python, complemented with the ability to quickly learn and code in other languages (such as Scala) on a smaller scale;
• Strong working knowledge of efficient data structures, computational complexity and algorithms and the ability to apply them in practical situations;
• Solid theoretical understanding in probability, statistics, supervised and unsupervised learning, time series and the ability to apply them to projects when needed;
• Strong experience and demonstrable skills in Data Science stack covering scikit-learn, pandas, numpy, scipy. Desirable: Numba, dask, RAPIDS cuML and Apache Spark;
• Working knowledge of deep learning, NLP, Generative AI, LLMs and prompt engineering;
• Experience in / be familiar with good software-engineering standards; and
• 4+ years as a Data Scientist or ML Engineer in a strong data-driven SaaS environment/product;

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WHAT WE OFFER

• A competitive compensation package including opportunities for employee options awards (conditions applied);
• Opportunities to enjoy meaningful and disruptive works on game-changing products;
• A flexible, supportive and productive working environment;
• Passionate colleagues and friends. You can find some interesting and like-minded folks here; and
• A strong commitment to your personal and professional growth. You will be a better guru than you are today. And that is a promise!

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If you like what you read, please reach out to us at talents@pi.exchange with your CV and 2-5 sentences about why you are the best person for this role!