Data Scientist

Armut / Homerun is a leading local services marketplace with over 2 million professionals across over 26,000 services. We aim to make finding good quality, trusted providers easy by using the latest technologies and machine learning algorithms. We serve over 18 million customers with 99% customer satisfaction in 14 different countries with 3 different brands. We’re accelerating our sustainable growth and increasing the number of operating countries in the EMEA region.

Our strength is rooted in our core values: customer-first thinking, data-driven problem-solving, and continuous learning. These values enabled us to change the local services industry and we’ll continue to do this on a global scale. We offer a world-class working environment where entrepreneurial spirits speed up their careers.

Want to dive deeper into how we build things and collaborate? We encourage you to check out our public Engineering Handbook for a transparent look at our culture, processes, and values: Engineering Handbook

Join us on our journey to be the EMEA leader in the local services marketplace!

You will:

• Conduct exploratory data analysis to identify trends and patterns within large datasets.
• Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.
• Collaborate with engineers and product managers to integrate machine learning solutions into the platform evaluating weigh cost and value.
• Communicate findings and insights to stakeholders through visualizations, reports, and presentations.
• Utilize data visualization techniques to communicate insights and findings to stakeholders.
• Own end-to-end machine learning models development from ideation to production deployment and monitor to improve our recommendation, matching, pricing and security related algorithms.
• Explore new ML technologies and business solutions.
• Design and implement data pipelines for data collection, preprocessing, and feature engineering.
• Evaluate model performance and make recommendations for model improvements.
• Design experiments and A/B tests to evaluate the effectiveness of algorithmic changes.

You have:

• Bachelor or Master degree in Computer Science, Statistics, Mathematics, or a related field.
• 4-7 years of experience in data analysis, machine learning, or a similar role.
• Proficiency in programming languages in Python, SQL.
• Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, Matplotlib).
• Solid understanding of statistical concepts, machine learning algorithms and deep neural networks.
• Proven experience in building from development to production advanced predictive models and working with large datasets in real- world business scenarios
• Proven experience with cloud computing platforms, particularly AWS (Amazon Web Services)
• Experience with MLOps processes: Model versioning, Git version control, Docker.
• Hands on experience in Generative AI, prompt engineering, RAG, and fine-tuning is a plus
• Previous experience with recommendation, matching or pricing systems is a plus.
• Excellent problem-solving skills and attention to detail.
• Ability to work collaboratively in a fast-paced environment.
• Ability to effectively communicate complex technical concepts to non-technical stakeholders through compelling storytelling and presentations.
• Enthusiasm and curiosity for exploring and implementing newly emerged AI technologies, frameworks, and methodologies.

Why Join Us

• Competitive salary,
• An opportunity to bring impact and change the service market dynamics, in a stimulating and international environment,
• Freedom to test, fail and test again in a fast-paced environment,
• Never-ending growth opportunities supported by learning & development fund,
• Working environment where your success is not judged by a dress code or working hours,
• Extra vacation time, flexible working hours and the possibility to work from home,
• Beach days, theme nights, sports & game events and any other social activity ideas you come up with!

Our Hiring Process

• Application: Send us your CV.
• Interview: Discuss your experience & expectations.
• Case Study: Showcase your skills.
• Final Interview: Align on mutual goals and values.
• Welcome Aboard: Join the Homerun team!

Diversity and Inclusion at Homerun

We believe in a workplace where everyone feels valued and empowered. Our diverse team, hailing from various backgrounds, is the cornerstone of our success. We're committed to creating an inclusive environment for all employees, celebrating different perspectives and fostering a culture of respect.