Job description
Join us on our exciting journey at Dataroid, the award-winning digital analytics and customer engagement platform!
Dataroid empowers leading brands to enhance every individual customer experience through deep customer insight, data science modelling, and omnichannel marketing.
As Turkey’s fastest-growing data analytics platform, we embrace challenges, explore new technologies, and aim to impact industries globally by helping businesses harness data to create seamless customer experiences.
At Dataroid, our developers drive innovation, staying ahead of technology trends to deliver simple and seamless solutions. Already used by leading enterprises in finance, airlines, and retail, Dataroid reshapes the experience of over 120 million users.
Dataroid is in search of a Senior Data Scientist who will be responsible designing and leading scalable data pipelines and AI products, while collaborating with cross-functional teams to deliver impactful data-driven strategies.
Key Responsibilities
- Working closely with product, engineering, and customer teams to deliver real, business-impacting solutions
- Building and maintaining robust backend services and APIs (using frameworks like FastAPI, Flask, etc.) to serve machine learning and generative AI capabilities at scale
- Developing and maintaining batch and streaming Spark jobs for large-scale behavioral data processing
- Designing and building LLM-powered systems (e.g. RAG, agents, MCP) that align quickly with emerging trends and deliver real product value
- Leading or contributing to end-to-end machine learning projects, including problem definition, model development, deployment, and post-production monitoring
Qualifications & Experience
- Bachelor’s, Master’s, or Ph.D. degree in Computer Science, Engineering, or a related technical discipline
- 4+ years of professional experience in developing and operationalizing data science and machine learning solutions
- Expert-level Python skills with a strong track record in building and scaling production-grade APIs and backend systems using FastAPI, Flask, or similar frameworks
- Strong background in big data processing with Apache Spark and Kafka, combined with hands-on experience in relational and non-relational databases such as Elasticsearch, PostgreSQL, Clickhouse
- Familiarity with LLM-based architectures (e.g., RAG, LangChain agents, MCP-style pipelines) and integrating them into end-user solutions
- Hands-on experience with ML Pipeline, model lifecycle management, CI/CD for ML, and production monitoring
- Hands-on experience with containerization (Docker) and orchestration (Kubernetes) for scalable ML/AI workloads
- Comfortable using AI-assisted development tools like Cursor to streamline and accelerate engineering workflows
- Business-minded and analytical, with strong collaboration skills and a high-ownership, fast-adapting startup mindset
Why Dataroid?
🌟Great Compensation & Benefits: We provide an attractive compensation package, including private health insurance, company-supported pension plans, meal vouchers, commute assistance, remote work benefits, and a paid day off for your birthday.
💻Enhanced Workdays: Enjoy the flexibility of adaptable working hours. We offer online events, inspiring guest speakers, office snacks, a culture that limits unnecessary meetings, and many other perks designed to make your weekdays more enjoyable.
📚Growth & Learning: Your development is our priority, with access to premier online learning platforms like Udemy, digital libraries, and tailored training programs to support your career journey.
🚀Thriving Community: Be part of a vibrant and close-knit team that values connection. Enjoy happy hours, workshops, seasonal celebrations, and other events that bring us together.
🎯Open Dialogue: Our flat organizational structure fosters direct and transparent communication. Your ideas and feedback are always welcome, ensuring your voice is heard and valued.
FIND MORE ABOUT US 🔎
Our career page: https://www.dataroid.com/careers/
Our company page: https://www.dataroid.com/
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