About QNetwork:
QNetwork is at the forefront of technology consulting, specializing in AI, cloud services, and digital transformation. We leverage our expertise to empower businesses with innovative and efficient technological solutions.
Job Overview:
As a Senior Data Scientist at QNetwork, you will play a pivotal role in mining insights from vast amounts of data and driving business strategy. You will be responsible for developing advanced analytics models, implementing machine learning algorithms, and providing data-driven recommendations to solve complex business challenges.
Key Responsibilities:
- Lead data mining and collection procedures to prepare large structured and unstructured datasets.
- Develop and implement advanced analytics models and machine learning algorithms.
- Analyze large amounts of information to discover trends and patterns.
- Present information using data visualization techniques.
- Propose solutions and strategies to tackle business challenges.
- Collaborate with engineering and product development teams.
- Guide decision-making based on quantitative and qualitative data.
- Stay up-to-date with the latest technology trends and advancements in data science.
Qualifications:
- Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
- Minimum of 10 years’ experience as a data scientist, preferably in a senior role.
- Proficiency with data mining, analysis, and modeling techniques.
- Strong experience with machine learning algorithms and statistical methods.
- Expertise in using data science tools and programming languages (e.g., Python, R, SQL).
- Experience with big data platforms and tools (e.g., Hadoop, Spark).
- Excellent analytical and problem-solving abilities.
- Strong communication and presentation skills.
Preferred Skills:
- Experience in AI and cloud computing environments.
- Familiarity with deep learning frameworks.
- Publications or presentations in relevant data science communities.
Why Join QNetwork:
- Opportunity to work on challenging projects with a cutting-edge technology company.
- Collaborative environment that fosters innovation and professional growth.
- Competitive salary and benefits package, including opportunities for advancement.
How to Apply:
Interested candidates are encouraged to submit their resume along with a cover letter detailing their data science experience and achievements.