Role Profile
We are seeking strong candidates with advanced analytics skills to start an exciting career at KoçDigital as part of our Data Science team. This role focuses on building models and conducting data analysis with advanced analytics techniques to provide actionable insights for critical business challenges. You will develop and deploy advanced time series and forecasting models to address key issues in manufacturing and energy, collaborating cross-functionally with domain experts to align solutions with real-world operational needs. As part of our team, you’ll be essential to enabling data-driven decision-making and driving operational improvements for our clients.
Key Responsibilities
• Time Series & Forecasting Model Development
• Design, build, and deploy advanced time series and forecasting models to tackle critical challenges in manufacturing and energy.
• Implement and optimize algorithms to forecast trends and anomalies in production data, ensuring scalability, accuracy, and reliability.
• Optimization & Predictive Analytics
• Design and implement optimization models using techniques such as linear programming, constraint programming, and evolutionary algorithms to enhance operational outcomes.
• Develop predictive quality models to assess product quality and reduce waste, with a focus on high-quality production standards.
• Apply knowledge of manufacturing and energy processes to effectively interpret data insights and drive impactful solutions.
• Machine Learning Engineering & Model Deployment
• Oversee the end-to-end lifecycle of machine learning models, from development through deployment, monitoring, and retraining.
• Utilize ML engineering practices to containerize and automate model deployment using tools like Docker, Kubernetes, or similar platforms.
• Implement robust data pipelines and ETL processes for streaming and batch data to ensure seamless data flow across systems.
• Cross-Functional Collaboration
• Collaborate closely with domain experts, data engineers, DevOps, and product managers to define project requirements and implement solutions.
• Communicate complex analytical insights effectively to both technical and non-technical stakeholders, ensuring alignment with business goals.
General Qualifications
• Educational Background
• Ph.D. or Master’s in Data Science, Statistics, Engineering, Computer Science, or a related field.
• Experience
• 5+ years of hands-on experience in data science, with demonstrated expertise in model building and data analysis.
• Technical Skills
• Proficiency in Python and SQL for data manipulation, analysis, and model development.
• Familiarity with database systems, data lakes, and warehousing solutions.
• Strong expertise in time series analysis and forecasting techniques (e.g., ARIMA, exponential smoothing, state space models, Prophet, LSTM, RNN-based models) and anomaly detection.
• Advanced understanding of optimization techniques (linear programming, constraint programming, stochastic optimization, and evolutionary algorithms) and their application in operational improvements.
• Proficiency in ML frameworks (TensorFlow, PyTorch, Scikit-Learn) and model deployment in production environments.
• Knowledge of cloud platforms (AWS, Azure, GCP), MLOps tools (MLflow, Kubeflow), and container orchestration (Docker, Kubernetes).
• Experience with data pipeline tools (Apache Airflow, Apache Kafka) and big data technologies (Spark, Hadoop) is a plus.
• Domain Knowledge
• Prior experience in manufacturing or energy is advantageous, with a strong understanding of processes and industry-specific challenges.
• Knowledge of edge computing and IoT integration for smart factories is a plus.
• Analytical & Business Acumen
• Strong understanding of business processes and the application of advanced analytics to solve industry-specific problems.
• Excellent verbal and written communication skills in English.
Why Join Us?
• Impactful Work: Contribute directly to optimizing production, reducing waste, and improving efficiency in large-scale manufacturing and energy operations.
• Innovative Environment: Be part of a team that values innovation and adopts the latest data science and machine learning technologies.
• Professional Growth: Access to continuous learning and development opportunities, including industry conferences and technical workshops.
What we offer:
Seda Güngördü Arslan - Yetenek Kazanımı ve Yönetimi Yöneticisi
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