Data Scientist, Customer-focused at SupportLogic

At SupportLogic, we are transforming the customer service landscape with our SupportLogic SX platform. By utilizing advanced machine learning and natural language processing, our technology integrates directly with ticketing systems like Zendesk and Salesforce to analyze customer sentiment and predict churn. We are a well-funded startup backed by top-tier Silicon Valley investors, and we take pride in serving a prestigious list of enterprise IT companies that rely on our insights to improve their products and operations.

The role

We are looking for a mid-level Data Scientist to join our team in a full-time, remote capacity. This position is central to our mission of building cutting-edge models that extract meaningful signals from unstructured data. You will play a vital role in advancing our machine learning capabilities and ensuring our predictive insights provide genuine value to our customers.

Core responsibilities

• Maximize the impact of our platform by advancing our machine learning models and intellectual property to better serve our customers.
• Collaborate with backend engineers to ensure our models perform reliably and efficiently within production environments.
• Partner with product design and customer-facing teams to translate complex data predictions into actionable, user-friendly features.

Skills and experience

To be successful in this role, you should possess a strong foundation in data science and a passion for customer-focused innovation. We require the following qualifications:

• A degree in Computer Science, Mathematics, or a related field.
• At least 2 years of experience in data science or machine learning engineering, including a minimum of 1 year working with NLP models in production.
• Expertise in Python and essential data science libraries such as PyTorch, HuggingFace, Pandas, NumPy, and scikit-learn.
• Proficiency in SQL and experience working with modern data warehouses.
• Strong communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders.
• A self-starting mindset, comfortable navigating the fast-paced environment of a growing startup.

Compensation and benefits

We are committed to supporting your professional journey and well-being. Our benefits package includes:

• The flexibility of remote work.
• A dedicated learning budget to help you stay at the forefront of the industry.
• Ongoing opportunities for professional development.

How to apply

If you are passionate about applying machine learning to solve real-world customer challenges and want to contribute to a high-growth startup, we would love to hear from you. Please submit your application to be considered for this role.