Job Description
Job Title: Applied Data Scientist
Application Deadline: Jan 15, 2025
Job Location: Yemen Kuwait Bank, Sana’a, Yemen
Type: Full-time
About Us
Yemen Kuwait Bank (YKB), established in 1977, stands as one of Yemen’s premier financial institutions, catering to Retail, MSMEs, and Corporate customers with a diverse range of products and services. YKB is dedicated to innovation, offering advanced digital services such as digital account opening, e-wallets, virtual card app, banking chatbot, mobile banking, and SuperApp. Through seamless, convenient, and secure banking experiences, we are setting new standards of excellence in the national financial services industry.
Driven by our unwavering commitment to innovation, we are building a top-tier Data and AI team. This team is at the forefront of disruption, providing specialized analytics capabilities to the bank.
Your Career, Our Commitment: At Yemen Kuwait Bank, we believe that a fulfilling career is more than just a job—it's a journey towards personal and professional growth. Our mission is to make this journey as smooth and rewarding as possible, providing a supportive and dynamic work environment where you can thrive.
Job Description
We are seeking a highly customer-focused individual with a blend of curiosity, technical aptitude, and communication skills to join the YKB Data AI as a Data Scientist within data science group.
In this role, you will leverage your understanding of data science and business to develop and train machine learning models tailored to specific business needs. Agility, proficiency, and discipline are essential. Ideal candidates will have deep expertise in experimentation, analytics, and advanced modeling, along with excellent analytical, organizational, and communication skills. A passion for operational excellence and continuous learning is crucial.
Responsibilities
Business Understanding/Opportunity Identification
- Learn the best practices in identifying growth opportunities, understanding strategy goals, division-product-strategy goals, and exploring opportunities for machine learning applications.
- Mentor and teach data science and machine learning to business stakeholders, focusing on identifying use cases and opportunities that create value.
Data Preparation and Understanding
- Understands where to acquire data necessary for successful completion of the project plan.
- Utilizes querying, visualization, and reporting techniques to describe acquired data, including format, quantity, identities, and other surface properties.
- Collaborates with others to perform data-science experiments using established methodologies, statistics, optimization, and probability theory for general purpose software and statistical packages.
Modeling and Statistical Analysis
- Leverage knowledge of machine learning solutions to identify the best approach to complete objectives.
- Understand modeling techniques and select the correct approach to prepare data, train and optimize the model, and evaluate the output for statistical and business significance.
- Construct hypotheses, design-controlled experiments, analyze results using statistical tests, and communicate findings to business stakeholders
- Develop operational models that run at scale through partnership with data and AI engineering teams.
- Evaluation
- Understands the linkage between the achieved model and business objectives, assists with testing models on test applications and real or production data, and analyzes model performance.
- Incorporates customer feedback into model evaluation, conducts reviews of data analysis and modeling techniques to identify overlooked factors, and contributes to summarizing the review process.
Qualifications
Who we're searching for
- Education: Bachelor's Degree in Statistics, Econometrics, Computer Science, Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Machine Learning, Data Science, or related field.
- Experience: 1-3+ years of experience in developing and implementing machine learning models, statistical models, and conducting experimental designs. Experience in Financial Services, Consulting, or working with strategy teams is a plus.
- Skills: Strong understanding of machine learning algorithms and frameworks. Proficiency in programming languages such as Python, R, and experience with data visualization tools (e.g., Power BI, D3.js). Strong storytelling capabilities, including communicating complex concepts to various audiences.
- Technical Proficiency: Advanced knowledge and applied experience in statistical methods and concepts, including forecasting, classification, logistic regression, linear regression, survival analysis, and other predictive modeling approaches.
- Language: Advanced proficiency in English.
- Attributes: Attention to detail with a proven ability to learn new concepts and skills quickly.
Why Explore a Career at YKB Data AI
This section should have been entitled - Why Explore a Challenge at YKB Data AI. What?
YKB Data & AI is not for everyone. This is the strongest differentiator. How?
Skills are secondary for us. We believe in intentions, not capabilities. Why?
If you don’t understand or resonate with the above three points, we encourage you not to apply. You won’t thrive here.
Most candidates look for a job or a career, but only a rare 2% see it as a challenge that fulfills their soul. We look for these 2%. Period.
If you happen to be fortunately falling in this group then world is too small for you. Reason being there are very few organizations which can really meet your expectations. We can!
Experience the Real Work with Real People for a Real Purpose.
1- Leading Platforms: Work with cutting-edge data and AI platforms on groundbreaking projects.
2- True Startup Culture: It’s not about bean bags or flexible hours; it’s about the spirit of innovation and creation.
3- Top Talent: Work with brilliant, like-minded individuals.
4- Empowerment: You’ll feel empowered every day, fostering your entrepreneurial spirit.
5- Greatest Work of Your Life: We promise this will be the most fulfilling work you’ll ever do.
Join us if you’re ready to push boundaries and make a real impact. The world is small for those who dare to dream big.
How to Apply
To apply for the Applied Data Scientist position, please follow these steps:
1. Prepare Your Application:
- Resume: Ensure your resume is up-to-date and tailored to highlight your relevant experience and skills.
- Cover Letter (Optional): Write a cover letter that explains why you are interested in this role and how your background makes you a great fit.
2. Visit Our Career Site:
- Click on the following link to access our career site: https://yk-bank.zohorecruit.com/careers?source=YemenHR
- Alternatively, you can use this direct link to the job opening: https://zurl.to/eXEl?source=YemenHR
3. Submit Your Application:
- If you click the career site link, you will be redirected to the job listing page. Click on "Applied Data Scientist" to view the job details page.
- Once on the job details page, click the "I'm Interested" button to start your application.
- Complete the job application form with your personal details, educational background, work experience, and any other required information. You can upload your resume and cover letter (optional) during this step.
- After submitting the application form, you will be prompted to complete a short pre-screening questionnaire. This helps us understand your qualifications and fit for the role.
We look forward to receiving your application and wish you the best of luck in the hiring process!
Important Notes / مقترحات هامة
إتباع تعليمات التقديم المذكورة في كل إعلان ستزيد من فرصة النظر لسيرتك الذاتية من قبل الجهة المعلنة
تذكر أن تكتب إسم الوظيفة و موقعها في عنوان البريد عندما يكون التقديم عبر الإيميل
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