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- Tasks: Join our team to develop advanced algorithms for life-saving medical product inventory management.
- Company: DFSAfrica, a leader in innovative data solutions for healthcare.
- Benefits: Full-time role with competitive salary and opportunities for professional growth.
- Why this job: Make a real-world impact by using data to save lives and improve healthcare.
- Qualifications: Master’s or PhD in relevant fields and 3+ years of analytical experience required.
- Other info: Dynamic work environment with a focus on collaboration and innovation.
The predicted salary is between 28800 - 48000 ÂŁ per year.
DFSAfrica is seeking a Data Scientist to join our Connective the Dots Initiative (CDI) and Africa to the World (A2W) teams, working on advanced algorithms that automate inventory management for life‑saving medical products.
Responsibilities:
- Work with the product and research teams, and academic partners, to implement sophisticated models on big data.
- Analyze large data sets from the product catalog, including prices, promotions, and inventory, and evaluate their impact on millions of dollars worth of inventory.
- Conduct all phases of research projects: define research questions, gather data, build and evaluate competing models, and communicate the results.
- Provide data‑driven, business‑relevant recommendations to stakeholders.
- Formalize model assumptions, detect and explain outliers, and propose fixes.
- Use Python, R, Scala, or similar languages to build statistical and machine‑learning models.
- Communicate findings verbally and in writing to audiences of varying technical levels.
Qualifications & Skills:
- Master’s or PhD in Machine Learning, Data Science, Statistics, Applied Mathematics, Physics, Computer Science, or Economics.
- 3+ years of experience in an analytical role involving data extraction, statistical modeling, and communication.
- 3+ years of experience with data querying languages (e.g., SQL, Hadoop/Hive).
- Experience with MongoDB, MySQL, or similar databases is preferred.
- Fluency in a scripting or computing language such as Python, Scala, C++, or Java.
- Experience processing, filtering, and presenting large datasets (millions to billions of rows) from product or business functions.
- Hands‑on experience with machine‑learning/deep‑learning techniques for real‑world problems.
- Natural curiosity, passion for solving real‑world problems, and ability to work in a dynamic environment.
Seniority Level: Mid‑Senior level.
Employment Type: Full‑time.
Job Function: Engineering and Information Technology.
Data Scientist employer: DFSAfrica
Contact Detail:
DFSAfrica Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, models, and analyses. This is your chance to demonstrate your expertise in Python, R, or any other tools you've mastered. Make it easy for potential employers to see what you can do!
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and practising common data science questions. Be ready to discuss your past projects and how you tackled challenges. Confidence is key, so practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you. Tailor your application to highlight your relevant experience and show us why you’re the perfect fit for the Data Scientist role.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with data extraction, statistical modelling, and any relevant projects that showcase your skills in Python or R. We want to see how your background aligns with our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to our Connective the Dots Initiative. Be sure to mention specific experiences that relate to the responsibilities listed in the job description.
Showcase Your Technical Skills: Don’t forget to highlight your technical skills! Mention your proficiency in SQL, MongoDB, or any other relevant databases. If you've worked with large datasets or machine learning techniques, make sure to include those details so we can see your expertise in action.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at DFSAfrica
✨Know Your Algorithms
Brush up on the advanced algorithms relevant to inventory management and machine learning. Be ready to discuss how you've implemented these in past projects, as well as their impact on data analysis and decision-making.
✨Showcase Your Data Skills
Prepare to demonstrate your proficiency with data querying languages like SQL and your experience with big data tools. Bring examples of how you've extracted and manipulated large datasets, and be ready to explain your thought process behind your analyses.
✨Communicate Clearly
Practice explaining complex data concepts in simple terms. Since you'll be communicating findings to stakeholders with varying technical backgrounds, being able to articulate your results clearly is crucial. Consider using visual aids or examples to illustrate your points.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data initiatives and how they align with your skills. This shows your genuine interest in the role and helps you understand how you can contribute to their goals effectively.
