Data Scientist
1 month ago
Job Opportunity :
We are seeking a highly skilled and motivated Data Scientist to join our rapidly growing team at Bijnis. In this role, you will work on key problems that leverage data-driven decision-making to enhance our B2B e-commerce platform. You will address complex challenges, including personalisation, inventory management, and search optimisation. If you possess a passion for tackling intricate business problems and have a keen desire to drive tangible impact, this is the opportunity for you.
Key Responsibilities :
- Utilise advanced data processing, analytical modelling, and visualisation techniques to derive deep insights from market-level supply and demand data, translating them into actionable strategies.
- Implement state-of-the-art personalisation algorithms that significantly enhance user experience and engagement across our platform.
- Analyse existing data to identify new growth opportunities, guiding strategic business decisions.
- Design, build, and deploy machine learning models to create highly personalised marketing campaigns that resonate with user behaviours and preferences.
- Develop and refine search algorithms to improve relevancy and ensure that users find what they need with minimal friction.
- Use predictive analytics and data-driven strategies to optimise demand forecasting and streamline inventory management processes.
- Design and implement personalised promotions, discounts, and coupons that drive user engagement and retention.
- Lead the charge in proposing and implementing innovative solutions.
- Take ownership of the entire model lifecycle, from development through deployment, ensuring continuous improvement and iteration based on rigorous testing and user feedback.
- Evaluate model performance using sophisticated metrics and effectively communicate findings through compelling visualisations.
- Maintain a cutting-edge understanding of advancements in natural language processing (NLP), deep learning (DL), and other relevant domains, applying these learnings to enhance our platform.
Required Skills and Qualifications :
- Bachelor's degree in Data Science, Computer Science, Statistics, Economics, or a closely related field.
- 2-3 years of robust experience in data science, with a preference for experience within the e-commerce domain.
- Advanced proficiency in programming languages such as Python or R, with a deep understanding of their application in data science.
- Extensive experience in SQL and MongoDB for efficient data extraction and manipulation.
- Strong familiarity with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn, with hands-on experience in model development and deployment.
- Expertise in natural language processing (NLP) and deep learning (DL), with a proven track record of applying these techniques to real-world problems.
- Working understanding of data-driven product personalisation and recommendation systems is preferred.
- Exceptional analytical abilities with a sharp problem-solving mindset, capable of tackling complex challenges with innovative solutions.
- Experience in deploying machine learning models on AWS, with a focus on scalability, security, and performance optimisation.
- Excellent communication skills, with the ability to convey complex ideas to both technical and non-technical stakeholders. A strong team-oriented approach with the ability to collaborate effectively across departments.
What We Offer :
- The opportunity to work on high-impact projects that directly shape the future of our business, allowing you to see the tangible results of your work.
- A collaborative, innovative, and supportive work environment that encourages creativity and the free exchange of ideas.
- Continuous professional development opportunities, including access to industry-leading training resources, conferences, and certifications.
- Regular recognition of outstanding performance, with opportunities for advancement and leadership roles.
If you are ready to take on challenging projects, lead innovative solutions, and make a significant impact, we invite you to join us at Bijnis and be part of our exciting journey.
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