Harnham is partnering with an innovative consumer technology company that leverages machine learning and advanced analytics to power intelligent digital experiences at scale. Operating across millions of daily user interactions, the business is investing heavily in AI and data science to optimize personalization, decision-making, and customer engagement.
They are seeking a Staff Data Scientist to join a highly technical team responsible for building production machine learning systems that have direct commercial impact.
THE COMPANY
Our client is a well-established technology organization with a large global customer footprint and a strong engineering culture. Data is central to every product decision, with teams focused on developing intelligent systems that improve customer outcomes through experimentation, predictive modeling, and real-time optimization.
You’ll join a collaborative environment where Data Science, Product, and Engineering work closely together to solve complex business challenges using modern machine learning techniques.
THE ROLE
As a Staff Data Scientist, you’ll lead the development of production machine learning solutions from data preparation through deployment and ongoing optimization.
Working across recommendation systems, predictive modeling, experimentation, and optimization, you’ll build models that directly influence customer experiences while helping establish technical direction across the wider Data Science organization.
RESPONSIBILITIES
- Develop and deploy production machine learning models for personalization, prediction, and optimization
- Build scalable feature engineering pipelines using modern cloud data platforms
- Design and analyze large-scale experiments to measure product performance and business impact.
- Partner with Product, Engineering, and business leaders to solve complex analytical problems.
- Deploy, monitor, and continuously improve machine learning models in production.
- Champion best practices across model development, experimentation, and code quality.
- Contribute to the evolution of machine learning infrastructure and deployment processes
- Communicate technical findings and strategic recommendations to senior stakeholders.
REQUIRED EXPERIENCE
- Prior experience in Data Science or Machine Learning
- Strong experience building and deploying production machine learning models using Python & SQL
- Experience working with cloud data warehouses such as Snowflake, BigQuery, or Redshift
- Familiarity with data orchestration and transformation tools including dbt, Airflow, Spark, or similar technologies.
- Strong statistical knowledge including experimentation and hypothesis testing
- Experience working with modern ML tooling such as MLflow, SageMaker, Ray, Spark, or equivalent
- Comfortable writing production-quality software and collaborating closely with engineering teams
- Excellent communication skills with both technical and non-technical stakeholders preferred
- Experience within consumer technology, digital platforms, online marketplaces, financial services, e-commerce, advertising technology, or other large-scale digital businesses
BENEFITS
- Competitive compensation package
- Annual performance bonus
- Retirement savings plan
- Generous PTO
- Career progression within a high-impact Data Science organization