Senior Data Scientist at Finaira

New Cairo City, Cairo, Egypt -

Full Time

Start Date

Immediate

Expiry Date

30 Aug, 26

Salary

0.0

Posted On

01 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Java, Scala, R, TensorFlow, PyTorch, Scikit-learn, SQL, Tableau, Power BI, AWS, Azure, GCP, Hadoop, Spark, Generative AI

Industry

technology;Information and Internet

Description

The Senior Data Scientist will lead the design, development, and deployment of complex AI and machine learning models to solve strategic business problems within the financial sector. This role requires deep expertise in data science methodologies, advanced proficiency in relevant tools and technologies, and the ability to independently translate complex business needs into scalable and impactful analytical solutions. The Senior Data Scientist will mentor junior team members, contribute to technical strategy, and communicate findings to executive stakeholders. Focus: Project leadership, strategic analysis, and advanced model development. The difference you will make: Lead end-to-end data science projects from conception to deployment. Develop and implement advanced machine learning models and algorithms in banking applications. Conduct strategic data analysis to inform business decisions and identify new opportunities. Communicate complex technical findings to senior management and stakeholders. Drive innovation in data science methodologies and tools. Education: Bachelor’s degree in data science, Economics, Computer Science, Engineering, Statistics, Mathematics, Physics, Operations Research, or a related discipline with an outstanding academic record; Master’s or Ph.D. preferred. Experience: 5+ years of progressive experience as a Data Scientist, with a strong and demonstrable track record of independently leading and delivering successful, complex data-driven solutions with significant business impact. Extensive experience in the financial services industry, with a deep understanding of financial data and business processes. Significant experience with specific AI applications in finance (e.g., fraud detection, risk management, algorithmic trading, customer analytics) and a proven ability to drive tangible results. Technical skills: Mastery in at least two of the following languages: Python, Java, Scala, and/or R, with expertise in relevant libraries and frameworks. Deep expertise in a wide range of machine learning frameworks (TensorFlow, PyTorch, scikit-learn, and potentially more specialized libraries). Comprehensive and in-depth understanding of foundational and advanced statistics concepts and ML algorithms, including deep learning architectures and specialized techniques. Familiarity with generative AI tools (e.g., Hugging Face, LangChain) Advanced mathematical skills, including a strong theoretical understanding and practical application of relevant mathematical concepts. Expert-level proficiency in SQL and various database management systems (e.g., SQL Server, PostgreSQL, NoSQL databases). Extensive experience with advanced data visualization tools (e.g., Tableau, Power BI) and the ability to create impactful and insightful dashboards. Significant experience with cloud computing platforms (AWS, Azure, GCP) and their AI/ML services. Proven experience in architecting and working on large, complex data sets, with deep expertise in Hadoop, Spark, and related big data technologies. Expertise with various distributed databases such as Hive, Impala, Redis, etc., and the ability to design and optimize data storage solutions. Soft Skills: Exceptional problem-solving and analytical skills with a proven ability to lead complex investigations independently. Excellent communication and presentation skills, with the ability to effectively communicate complex technical concepts to executive-level technical and non-technical audiences. Strong strategic thinking and a disruptive mindset to develop innovative data solutions. Deep business acumen and a proven ability to understand and translate strategic business needs into impactful analytical initiatives. Strong customer-centric approach with a focus on delivering tangible business value. Demonstrated leadership qualities and the ability to mentor junior team members effectively. Highly disciplined and reliable, with a strong professional track record developed through experience in structured, multinational work environments. Exceptional ability to interact effectively with and influence people from diverse nationalities and cultural backgrounds. Excellent command of English language, both verbal and written, with the ability to articulate complex ideas clearly and persuasively. Proactive self-learner with a strong positive attitude, a deep passion for continuous improvement, and the ability to independently research and adopt new technologies. Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.

Responsibilities

Lead the design and deployment of complex AI and machine learning models to solve strategic business problems in the financial sector. Mentor junior team members and communicate technical findings to executive stakeholders to drive business innovation.