Senior Data Scientist
Summary
We are seeking a highly motivated and experienced Senior Data Scientist
to join our team. The ideal candidate will have a strong understanding
of data science principles, a proven track record of deploying robust
machine learning solutions, and a passion for leveraging data to drive
decision-making. This role offers the opportunity to drive technical
direction in an innovative and collaborative team environment working on
a high-impact data product.
Key Responsibilities
- Design and train predictive models, including deep learning models,
to optimize key business outcomes and address complex challenges.
- Engineer impactful features and build robust, automated data
pipelines to support model training and inference.
- Rigorously analyze model performance and systematically fine-tune
models to maximize business metrics.
- Build and deploy scalable, low-latency, production-grade
applications to serve models in a production cloud environment.
- Use a production-first mindset to consult on project feasibility and
help shape technical strategy, balancing performance, time, and
cost.
- Design and validate new processes, products, and advanced ML
techniques through experimentation and testing.
- Analyze large structured and unstructured datasets to identify
insights and propose strategies to address complex technical
challenges.
- Communicate complex findings and strategic recommendations to
technical and non-technical audiences concisely and effectively.
- Proactively engage with team members to accomplish individual and
groups goals, providing technical mentorship to other data
scientists.
- Continuously seek new opportunities to develop and apply new skills
towards the improvement of data science processes and technical
methodologies.
- Establish comprehensive monitoring for model performance and data
drift, using insights to drive continuous improvement.
- Document complex model architectures, deployment processes, and data
pipelines to ensure maintainability.
Critical Qualifications
- Bachelor’s degree in a discipline such as Computer Science, Data
Science, Engineering, Applied Math, or a related field.
- 5+ years of relevant work experience in a data science or machine
learning role with demonstrated history of project ownership and
delivery.
- Proven experience in designing, training, and deploying machine
learning models into production environments with measurable impact.
- Extensive experience working in a cloud environment (GCP is
preferred, but cloud skills are transferable).
- Expert proficiency in SQL and Python, with strong ability to write
clean, efficient, and reusable code for both model training and
application development.
- Expertise in a wide range of machine learning algorithms,
statistical methods, and deep learning frameworks (e.g.
scikit-learn, Keras, TensorFlow, PyTorch).
- Experience building Python-based applications to serve model
predictions for online inference.
- Experience applying Natural Language Processing techniques to build
solutions using unstructured data.
- Expertise with using Git in a collaborative team environment.
- Proven ability to perform statistical analysis to validate model
performance and business impact.
- Strong communication and presentation skills, with the ability to
convey complex technical concepts to both technical and
non-technical audiences.
- Demonstrated experience in providing technical mentorship to other
data scientists.
Preferred Qualifications
- Master’s or Ph.D. in a discipline such as Computer Science, Data
Science, Engineering, Applied Math, or a related field.
- Professional certification in cloud-based data platforms and
services (e.g. GCP Professional Machine Learning Engineer).
- In-depth knowledge of ML Ops principles and familiarity with
associated methods/tools.
- Demonstrated experience building ML models for matching, ranking, or
recommendation systems.
