Senior Data Scientist

Summary

Join Dataroid, an award-winning digital analytics and customer engagement platform, as a Senior Data Scientist. You will design and lead scalable data pipelines and AI products, collaborating with cross-functional teams to deliver impactful data-driven strategies. This role involves building and maintaining backend services and APIs, developing Spark jobs for data processing, designing LLM-powered systems, and leading machine learning projects. Dataroid empowers leading brands to enhance customer experiences using deep customer insight and omnichannel marketing. The company is Turkey's fastest-growing data analytics platform, impacting industries globally. Dataroid offers a competitive compensation and benefits package, including health insurance, pension plans, and remote work benefits.

Requirements

• 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

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

Benefits

• Attractive compensation package, including private health insurance
• Company-supported pension plans
• Meal vouchers
• Commute assistance
• Remote work benefits
• A paid day off for your birthday
• 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
• 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
• 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