Black Pearl Group – Wellington Central, North IslandBlackpearl Group (NZX:BPG) is a market-leading data technology company pioneering AI-driven sales and marketing solutions for the US market. All our services are designed to power revenue growth for small-to-medium sized businesses. BPG consistently delivers exceptional value to its customers. Our mantra is simple: 'Better Growth Together'. When our customers win, we win.Innovation drives everything we do - our focus is on building SaaS that empowers small to medium-sized businesses, driving growth through our customer acquisition and data integration platforms. Our primary product, Pearl Diver, is built to empower businesses through data insights.With the Head Office in Wellington and team members in Auckland, other regions of NZ and five other countries across the globe, the Blackpearl team is expert, agile and focused on supporting rapid company growth that is occurring right now.About the Role:We are looking for a talented Data Scientist to help create our next wave of features and products and be a key player in the Technology team. A few of the initiatives you will work on are:Working with large scale web analytical data (billions of signals per day) to create models to support customer acquisition in B2C and B2B.Investigate, develop and deploy derived features from existing data.From time to time, you will also work on internal projects such as lead scoring, retention and automation.We are a technology team that is focused on building and integrating solutions that are deeply useful for our customers. This requires us to be curious and work in collaboration with cross-functional teams to understand where and how value can be created.This is a unique opportunity to make your mark in Technology where innovation is applauded, and hard work is rewarded!About You:We are seeking a Data Scientist who thrives on building software that is going to be used across the globe by hundreds of thousands of users to grow their businesses.As part of a close-knit, fun team, you will thrive in a collaborative environment while also being capable of working independently and with remote colleagues. You'll be driven to deliver exceptional team results and dedicated to continually developing your skills.The ideal candidate is enthusiastic about learning from their peers and enhancing the data and engineering craft within the team. Flexibility and adaptability to shifting priorities are key to success in this role.What You'll Do:Build Data Products: Design and develop scalable data products that help SMB's grow.Data Pipeline Development: Collaborate with the data engineering team to create, optimize, and maintain robust data pipelines that can handle billions of rows of data, ensuring data integrity and performance.Machine Learning Models: Use machine learning techniques and tools to create models, recommendation systems, and predictive analytics that power our product features.Feature Engineering: Translate business needs into actionable data features that can be deployed into our product offerings, improving user engagement and business impact.API Integration: Work with engineering teams to build and integrate APIs, ensuring smooth data flow and accessibility across services.Prototyping & Experimentation: Lead efforts to rapidly prototype and experiment with data products, iterating based on feedback to deliver the best solutions.Collaborate Across Teams: Partner with product managers, data engineers, and other stakeholders to ensure data products align with the business strategy.Skills & Experience You'll Bring:Programming Skills: Proficient in Python and SQL with a working knowledge of C# being a plus.Data Engineering: Strong experience or knowledge in building data pipelines and handling large datasets (with billions of rows).Machine Learning & AI: Expertise in machine learning concepts and tools, including building models and recommendation systems.Cloud Services: Experience with Azure (preferred), AWS, or GCP for deploying and managing data products.Data Warehousing: Proven experience working with Snowflake or similar data warehousing technologies.APIs & Integrations: Experience in building and integrating APIs to expose data features and serve data products.A Product Mindset:You understand the product development lifecycle and know how to take data products from concept to deployment. The job is only done when our customers are using it to grow their business.You are comfortable with feature engineering, turning raw data into actionable insights that add real value to products.You have experience with prototyping and running experiments, iterating quickly based on data and feedback to enhance product features.Strong knowledge in data modeling, optimizing data storage and retrieval for product needs.Experience working with ETL processes to ensure efficient data transformation and loading.Nice to Have:Exposure to web analytics and advertising platforms (e.g., Adobe audience manager, Google Analytics).Knowledge of graph databases or network graph structures.Strong understanding of web and email technology to align with data product initiatives.If you thrive in a fast-paced environment and are excited about making a tangible impact on innovative products, this role is for you!Apply now and contribute to delivering value to our customers as 'when our customers win, we win!'
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