Data Scientist
Direct message the job poster from Saal.ai
Experience in Oil and Gas, Finance
Responsibilities
- Deliver high-quality AI models across a broad spectrum of numeric and text analytics.
- Understand the practical scope of the AI models within the products.
- Use modeling techniques including data acquisition from diverse sources, data exploration, feature engineering, evaluating algorithms/architectures, and deploying models iteratively to improve solutions.
- Identify valuable data sources and automate collection processes.
- Preprocess structured and unstructured data.
- Build and fine-tune models.
- Propose solutions and strategies to address business challenges.
- Collaborate with Engineering and DevOps teams for deployment.
- Contribute to the team’s research activities.
AI / ML
- Develop and integrate algorithms/packages into the platform.
- Add new ML models to the SAAL platform marketplace.
- Work closely with Product, Support, and Success teams to understand customer needs and contribute to the successful rollout of tools into trials and general availability.
Communication
- Utilize state-of-the-art tools, techniques, and methods to deliver technical presentations to peers, leadership, sales teams, clients, and prospects.
- Collaborate with internal stakeholders to enhance solution architecture, implementation plans, delivery models, and cost efficiency.
Related Assignments
- Perform other related duties or assignments as directed.
Minimum Qualifications
- Bachelor's Degree in Artificial Intelligence, Business Analytics, Data Science, Computer Science, Mathematics, Engineering, or related fields.
- Certifications in relevant technology streams are preferred.
- Minimum 4-6 years of experience in a similar role.
Job-Specific Skills
- Demonstrable experience in theory and applied areas of Machine Learning / Deep Learning.
- Experience developing pipelines for both structured and unstructured data.
- Working knowledge of applied NLP (offline LLM utilization is a plus).
- Practice with Deep Learning libraries such as TensorFlow and PyTorch.
- Proficiency in programming with Python, Java, R.
- Experience in REST API development and Dockerization.
- Strong coding skills with appropriate data structures.
- Excellent communication skills.
- Experience working with educational or finance datasets is encouraged.
- Self-motivated with a desire to build innovative solutions or algorithms.
Language: French is a plus.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Engineering and Information Technology
Industries: IT Services and IT Consulting