Digital Product Analytics Owner analyzing digital user behavior to optimize experiences and provide insights. Collaborating cross - functionally to enhance product strategies and drive decision - making.
About the role
- Principal Data Scientist at Aera Technology leading the design and deployment of machine learning models. Collaborating within cross-functional teams to drive data-driven solutions and improve business outcomes.
Responsibilities
- Lead the end-to-end design, development, and deployment of advanced machine learning and statistical models that deliver measurable business outcomes.
- Collaborate with cross-functional teams — including Product, Engineering, and Client Success — to define data-driven solutions, influence product strategy, and ensure seamless model integration within the Aera platform.
- Drive experimentation and innovation by exploring new algorithms, techniques, and technologies that enhance model performance, scalability, and interpretability.
- Translate complex analytical results into clear, actionable insights for technical and non-technical stakeholders, shaping business and product decisions.
- Define best practices for model governance, versioning, and monitoring to ensure reliability and compliance in production environments.
- Act as a subject matter expert and thought leader within Data Science, mentoring senior team members and fostering a culture of rigor, innovation, and continuous learning.
- Partner with leadership to define and refine Aera’s long-term data science roadmap, ensuring alignment with overall organizational and product strategy.
- Contribute to the evolution of Aera’s Data Science platform through experimentation, evaluation of new tools, and collaboration with Engineering teams.
Requirements
- Master’s or Ph.D. in Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline.
- 10+ years of experience in applied machine learning, statistical modeling, or AI solution development, with proven success deploying models in production.
- Strong expertise in Python, R, or similar languages, and experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Deep understanding of statistical methods, optimization, and data-driven experimentation.
- Experience leading large-scale projects and influencing product or platform-level decisions.
- Excellent communication skills with the ability to translate complex technical concepts into business value.
- Demonstrated leadership in mentoring, peer development, and cross-functional collaboration.
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