Senior Data Scientist

November 13

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Ciklum

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Artificial Intelligence • B2B • Enterprise

Ciklum is a global digital engineering and AI-enabled product and platform services company that helps enterprises design, build, and scale AI-infused software, cloud, data, and automation solutions. It combines UX and product design with engineering, DevOps, data engineering, responsible AI, and edge/IoT capabilities to move pilots into production and deliver enterprise-ready outcomes across industries such as banking, retail, healthcare, hi-tech, automotive, and travel. Ciklum emphasizes platform-agnostic, scalable solutions—covering AI incubators, conversational AI, agentic automation, cloud and edge services, XR/AR/VR, and digital assurance—focused on transforming workflows and customer experiences for B2B enterprise clients.

1001 - 5000 employees

Founded 2002

🤖 Artificial Intelligence

🤝 B2B

🏢 Enterprise

📋 Description

• Model Development & Deployment: Take charge of developing and implementing machine learning models for key logistics estimations, including travel time, routing data, and last-mile predictions. You will ensure these models are accurate, scalable, and reliable for high-throughput, real-time inference • Data Analysis & Insight Generation: Dive deep into large-scale geospatial and real-time data to unearth valuable insights related to routing efficiency, courier behavior, and delivery friction points. You will translate these complex findings into actionable recommendations • Prototyping & Validation: Rigorously test hypotheses and develop proofs-of-concept for new predictive features. You will work extensively with real-time data streams, seamlessly integrating them into our machine learning frameworks • Technical Integration & Collaboration: Collaborate closely with Machine Learning Engineers to deploy, maintain, and enhance models in our production environment. You will partner with Developers and Operations Research Scientists, empowering them to utilize your team's predictions effectively to drive maximum operational impact • Stakeholder Communication: Excel in communicating complex data insights and machine learning concepts to diverse audiences, from technical peers to non-technical business leaders

🎯 Requirements

• Advanced proficiency in data science and machine learning methodologies, with a strong preference for experience in logistics, geospatial analysis, ETA prediction, or routing problems • Proven, extensive experience in getting ML models into production, including scaling, monitoring, and maintaining them for long-term success • Required experience with real-time data integration , stream processing, and real-time inference frameworks • Expert-level Python (e.g., scikit-learn, pandas) in notebooks and in pure Python code for production • Strong proficiency in SQL • Strong understanding of software development best practices, including testing, git, code reviews, and model lifecycle management • Experience with Docker containers to support reproducible and scalable environments • A basic understanding of mathematical optimization • Proven leadership and mentorship skills, with the ability to guide and develop junior data scientists and foster team collaboration • A holistic project approach, from generating innovative ideas and business cases to managing the full lifecycle of your models • Excellent communication skills, with the ability to present complex data insights to a wide range of stakeholders • A Master's degree or PhD in Data Science, Computer Science, Statistics, or a related quantitative field • A preference for simple, scalable, and effective solutions and strong collaborative skills in agile, cross-functional teams

🏖️ Benefits

• Strong community: Work alongside top professionals in a friendly, open-door environment • Growth focus: Take on large-scale projects with a global impact and expand your expertise • Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications • Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies • Flexibility: Enjoy radical flexibility – work remotely or from an office, your choice • Care: We’ve got you covered with company-paid medical insurance, mental health support, and financial & legal consultations