Senior Data Scientist

Lean Technologies; Riyadh; On-site; SAR 200,000 - 300,000; Full time

Job summary

An innovative firm is seeking a skilled Data Scientist to design and implement cutting-edge ML/AI models that drive insights into transaction categorization. This role involves collaborating closely with clients and stakeholders to translate their needs into functional requirements, performing data analysis on open banking datasets, and advocating for improvements in data pipelines. The ideal candidate will have a strong background in machine learning, deep learning frameworks, and programming languages like Python or R. If you're passionate about data science and eager to contribute to impactful projects, this opportunity is perfect for you.

Qualifications

• 5+ years of experience in ML/data science roles with proven track record.
• Hands-on experience in deep learning frameworks like TensorFlow or PyTorch.

Responsibilities

• Design and implement ML/AI models for transaction categorisation.
• Collaborate with Data Engineering to ensure models perform robustly.

Skills

Machine Learning

Data Science

Deep Learning

Data Analysis

Python

R

Communication Skills

Education

Bachelor's or Master's degree in Computer Science

Degree in Data Science or Engineering

Tools

TensorFlow

PyTorch

GCP

AWS

Azure

CI/CD tools

Job description

Bachelors in Computer Application (Computers)

Nationality: Any Nationality

Vacancy: 1 Vacancy

Job Description

Responsibilities:

1. Design and implement ML/AI models to deliver insights such as transaction categorisation.
2. Work closely with clients and stakeholders to understand their needs and market context and map these into functional and non-functional requirements.
3. Perform data analysis and exploratory research for open banking data sets to uncover patterns and trends that inform improved or new models.
4. Design and implement approaches for feature extraction and labelling at scale, and for measuring model performance.
5. Collaborate with Data Engineering to ensure models are kept up-to-date and perform robustly at scale, with suitable automation and observability. Justify and advocate for improvements to data pipelines.
6. Stay up-to-date with the latest advancements in machine learning, NLP, Large Language Models (LLMs) and related fields, actively seeking opportunities to enhance knowledge and skills.
7. Enthuse and educate the wider team on the discipline of Data Science.

Minimum Qualifications:

1. Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
2. 5+ years of experience in ML/data science roles with a proven track record of building, delivering and operating ML-based insights in production.
3. Hands-on experience in deep learning frameworks such as TensorFlow or PyTorch.
4. Experienced and comfortable with collaborating closely with Data Engineering.
5. Knowledge of MLOps concepts, databases, data warehousing, data modeling techniques and data ETL pipelines.
6. Strong proficiency in relevant programming languages such as Python or R.
7. Strong written and verbal English and comfortable explaining data science concepts to non-technical audiences.

Desired Qualifications:

1. Payments / Open Banking experience.
2. A working knowledge of transformers.
3. Familiarity with CI/CD tools and cloud platforms like GCP, AWS or Azure.

NB: While we think the above experience could be important, we are keen to hear from people that believe they have valuable experience to bring to the role. If you identify with the team and mission, but not all of our requirements, then please still apply!