Are you ready to bring your Data Science experience to the next level?
As a Data Scientist specializing in Machine Learning, you'll play a crucial role in developing and implementing cutting-edge recommendation algorithms. Your expertise will help drive user engagement, enhance customer experiences, and contribute to the growth of the company. You'll work closely with a talented cross-functional team to turn data into actionable insights that drive our recommendation platforms forward.
Collaborate with the product team to understand user needs, business objectives, and industry trends;
Develop and implement state-of-the-art machine learning algorithms for recommendation systems;
Collect, preprocess, and analyze diverse datasets to extract meaningful insights and patterns;
Build and optimize recommendation models, leveraging techniques such as collaborative filtering, content-based filtering, and deep learning;
Implement experiments and A/B tests to evaluate and enhance the performance of recommendation algorithms;
Work closely with engineers to deploy and maintain recommendation models in production environments;
Create intuitive data visualizations and reports to effectively communicate insights to team members and stakeholders;
Stay informed about the latest advancements in recommendation systems, machine learning, and related technologies;
Contribute to a collaborative startup culture by sharing knowledge and insights with fellow team members;
Adapt and thrive in a fast-paced, evolving environment typical of startup companies;
Qualifications and Skills:
Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related quantitative field;
Demonstrated experience in designing and implementing recommendation algorithms in real-world applications;
Proficiency in programming languages such as Python or R for data manipulation and machine learning;
Familiarity with machine learning frameworks and libraries, such as TensorFlow, PyTorch, scikit-learn, etc.;
Knowledge of deep learning techniques and frameworks for building recommendation models is a plus;
Strong understanding of data preprocessing, feature engineering, and model evaluation;
Experience with A/B testing methodologies and experimental design;
Excellent problem-solving skills and ability to thrive in a dynamic startup environment;
Effective communication skills to convey complex technical concepts to both technical and non-technical stakeholders;
Collaborative mindset and willingness to work closely with cross-functional teams;
Previous experience in startups or entrepreneurial environments is advantageous.
Competitive compensation package with equity options;
Flexible work environment that values work-life balance;
Opportunity to work on cutting-edge technologies and shape the future of recommendation systems;
Collaborative and inclusive startup culture that encourages innovation and creative problem-solving;
Growth opportunities and the chance to take on additional responsibilities as the company expands.
Sounds interesting? Do not hesitate to apply or contact us if you have any questions!
Advantages of Our Company
Only top talent and top salaries
Challenging projects and tasks
Smartest colleagues in the industry
We are always on the lookout for passionate clients and new talents to join us.
The services and products described on this website are offered under the Gamingtec umbrella brand name by multiple entities depending on the specific product or service. Gamingtec is not a legal entity but a trading name used by various legal entities. Project Management and Consultancy Services are provided by EG Interactive LTD, a brand registered in England – 175 Long Lane, London, England, SE1 4GT. All content on this website is protected by international trademark laws, and we reserve all rights contained therein.
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