**Job Posting: Staff Data Scientist**

**Company Overview**
Curinos empowers financial institutions to make better, faster, and more profitable decisions through industry-leading proprietary data, technologies, and insights. Our technology and analytics ecosystem allows clients to anticipate customer needs and optimize their go-to-market decisions in an increasingly competitive market. Curinos operates under a hybrid modality, with opportunities to work from our Toronto office.

**Job Description**
Curinos is seeking an experienced Staff Data Scientist to join our Data Science & Machine Learning Team. In this role, you will focus on applying data science, machine learning, and AI approaches to understand banking customer behavior and optimize engagement marketing through our FinTech product platforms.

**Key Responsibilities**
- Combine data sources and apply multiple data and algorithmic approaches to create actionable insights about banking customers.
- Collaborate with business partners to develop segments for targeted consumer interactions based on shared preferences and behaviors.
- Partner with machine learning engineers to advance our Reinforcement Learning-based marketing optimization capabilities.
- Implement modern ML solutions for complex banking use cases and promote knowledge sharing across the team.
- Create organized datasets, data processing, algorithm implementations, and visualizations to support our platform software.
- Guide the team on appropriate algorithmic approaches and enforce best practices on model training, evaluation, and monitoring.

**Desired Skills & Expertise**
- 5+ years of experience in applied machine learning or data science for consumer-facing and/or enterprise applications.
- Experience in prototyping, managing, operating, and updating ML and statistical models.
- Strong knowledge in statistical inference, experiment design, regression, classification, clustering, data mining, neural networks, and deep learning techniques.
- Familiarity with GenAI concepts such as retrieval augmented generation or fine-tuning.
- Proficient in Python-based machine learning frameworks, ideally with experience in PySpark and Databricks in a cloud environment.
- Exceptional communication and interpersonal skills to effectively engage with stakeholders at all levels.
- Ability to pivot quickly in response to business needs.
- Advanced degree in Computer Science, Applied Mathematics, Statistics, or a related technical discipline is preferred.

**Why Work at Curinos?**
- Competitive benefits including financial, health, and lifestyle options.
- Flexible working arrangements including home working and flexible hours.
- Generous annual leave, floating holidays, volunteering days, and a day off for your birthday.
- Access to learning and development tools for career advancement.
- Collaborative culture with regular social events and networking opportunities.
- Commitment to diversity and inclusion with an active DE&I program.

**Applying:**
We welcome candidates who are excited about the opportunity to work at Curinos, even if they do not meet all the requirements. If you need any adjustments to support your application, please contact us at careers@curinos.com.

**Inclusivity at Curinos:**
Curinos is an Equal Opportunity Employer. We do not discriminate based on any protected characteristics and are committed to creating a supportive and inclusive environment for all employees.