Data Scientist

About Groov:

At Groov, we're on a mission to help millions of people feel and perform better at work. We leverage the latest in workplace science, neuroscience,and psychology to create a platform that optimizes performance, reduces stress, and enhances well-being for both individuals and organizations. With a science team that boasts over 200 years of combined experience and credentials from the world's leading universities, we're pioneering a new era of Performance Care through our comprehensive offerings, including Groov Together, Groov Anywhere, Groov Insights, Groov Index and the Groov Companion App.

Role Overview:

We are looking for an experienced Data Scientist to be part of our Data Science team and play a pivotal role in the creation and development of our product. This would start with helping to execute our 2024 data science roadmap. This role involves significant contributions to our ML- and AI-driven product features, including the development of the Groov Index, modelling Patterns of Work, optimizing prompts, and using AI techniques, such as RAGs and LLMs, to deliver content to users and drive internal efficiency.  The position requires a strong foundation in both data science and data engineering. The Data Scientist will be expected to help build and maintain data pipelines in AWS, develop machine learning models, incorporate Generative AI into our processes and products, and support business analysis with data wrangling, modelling, and reporting. 

Key Responsibilities:

• Develop, train, and deploy machine learning and AI models to enhance the personalization and effectiveness of Groov's products such as personalized prompts and intelligent Q&A systems.
• Perform extensive data wrangling and analysis to clean, preprocess, and interpret large datasets, ensuring data quality and accessibility for modelling.
• Design and implement ETL pipelines using tools like Pyspark, Python, AWS Glue, and Airtable, to efficiently manage data workflows.
• Collaborate with product and business teams to translate business needs into technical specifications and data-driven solutions that drive product innovation.
• Utilize R and Python for statistical analysis, hypothesis testing, and building predictive models that inform product development and business strategies.
• Engage in business analysis to quantify the impact of product features on user engagement and organizational outcomes, contributing to strategic decision-making.
• Ensure the scalability, reliability, and performance of data models and pipelines, supporting their deployment in a production environment.
• Contribute to the creation of dynamic reports and dashboards using Power BI and R Shiny, facilitating data-driven insights for internal and external stakeholders.

Requirements:

• 3+ years of experience in Data Science, with a proven track record in machine learning, data analysis, and delivering data-driven insights.
• Proficiency in SQL, Python and R, with strong skills in data wrangling, analysis, and machine learning model development.
• Experience with AWS cloud services and managing data pipelines and ETL processes.
• Familiarity with Big Data technologies, such as Pyspark, and managing large datasets.
• Ability to develop insightful reports and dashboards using Power BI and R Shiny.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field or equivalent experience.
• Excellent communication skills, with the ability to convey complex data insights to non-technical stakeholders.
• Knowledge of .Net for backend development is a plus.
• Experience with generative AI models, particularly with self-hosted, open-source models is also a plus

Why Join Groov?

Join a team transforming the workplace into a space of health, creativity, and peak performance. At Groov, you'll be part of a small, dynamic team that uses cutting-edge technologies and innovation to solve real-world problems. We value innovation, collaboration, and well-being, offering competitive salaries, comprehensive benefits, and a dynamic work environment. Our work culture is supportive, entrepreneurial, and pragmatic, fostering a space where you can grow, innovate, and make a significant impact

You must be eligible to work in New Zealand (with a valid working Visa, Residency or Citizenship) to be successful in this application.