Back Role Overview:
As the Lead Data Scientist, you will be responsible for enhancing our recommendation systems and leading the data science team. You will work closely with cross-functional teams to develop, implement, and optimize machine learning models that drive our core product offerings. Your role will also involve building and managing a team of data scientists and researchers, ensuring that our projects are executed efficiently and effectively.
Key Responsibilities:
1. Model Development and Optimization:
- Design, develop, and implement state-of-the-art recommendation algorithms;
- Optimize existing models to improve accuracy, scalability, and performance;
- Collaborate with engineering teams to integrate models into production systems.
2. Team Leadership and Management:
- Recruit, train, and mentor a team of data scientists and researchers;
- Provide technical guidance and oversight to ensure high-quality deliverables;
- Foster a collaborative and innovative team culture.
3. Data Analysis and Insights:
- Conduct deep-dive analyses to understand user behaviour and improve recommendation accuracy;
- Develop and maintain data pipelines and ETL processes;
- Create dashboards and reports to communicate findings and recommendations to stakeholders.
4. Research and Innovation:
- Stay abreast of the latest developments in AI/ML and recommendation systems;
- Drive innovation by exploring new techniques and technologies;
- Publish and present research findings at industry conferences and workshops.
5. Stakeholder Collaboration:
- Work closely with product managers, engineers, and other stakeholders to align data science initiatives with business goals;
- Translate complex technical concepts into clear, actionable insights for non-technical audiences.
Qualifications and Skills:
1. Education:
- Master’s or Ph.D. in Computer Science, Data Science, Statistics, or a related field.
2. Experience:
- 5+ years of experience in data science, with a focus on machine learning and recommendation systems;
- Proven track record of developing and deploying large-scale recommendation models;
- 2+ years of experience in a leadership or managerial role, with a history of building and managing high-performing teams.
3. Technical Skills:
- Proficiency in programming languages such as Python or Scala;
- Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn);
- Strong understanding of data processing tools and platforms (e.g., Hadoop, Spark, SQL);
- Must have experience with AWS cloud services (e.g., S3, EC2, SageMaker, Redshift);
- Familiarity with other cloud computing platforms (e.g., GCP, Azure) is a plus.
4. Soft Skills:
- Excellent problem-solving and analytical skills;
- Strong communication and presentation abilities;
- Ability to work effectively in a fast-paced, startup environment.
The company guarantees you the following benefits:
- Competitive salary and equity package;
- Flexible working hours and remote work options;
- Opportunity to work on cutting-edge technologies and shape the future of AI/ML recommendations;
- A collaborative and inclusive company culture;
- Professional development opportunities and support for continuous learning.
Interview process:
- A 1-hour interview with the Co-Founder to get to know you and your experience;
- A 1-hour technical interview to check your hard skills;
- A test task;
- A final 30-minute-long interview to talk about your implementation of the test task.
