Data Scientist

Full time

Employment Information

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.

Key Responsibilities:

  • 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.

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