Principal Data Science Engineer - București

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Principal Data Science Engineer
Bucureşti
București, Municipiul București, Romania

Job Description

Looking for a Data Science Architect having 10+ years of experience in Data Science & AI projects.

Key Responsibilities:

Delivering Data Science & AI projects, setting client expectations, designing solutions, reviewing implementations, and guiding team members.

Identifying opportunities to develop new capabilities in the area of optimization, leading the development of POCs and accelerators.

Presenting capabilities to clients and driving pitches to project conversions.

Translating business requirements into analytics problem statements and defining KPIs for improving business metrics.

Leveraging strong business and technical knowledge in optimization.

Leading the design and development of advanced AI and machine learning models, utilizing Gen AI techniques, predictive modeling algorithms, and optimization methods to solve complex business problems.

Developing and deploying predictive models for applications such as customer segmentation, churn prediction, demand forecasting, and anomaly detection.

Establishing best practices and frameworks for MLOps, including model deployment, monitoring, and lifecycle management, to ensure scalability, reliability, and performance of ML systems in production.

Applying mathematical optimization techniques (. , linear programming, nonlinear optimization, stochastic optimization) to optimize business processes, resource allocation, and
- making frameworks.

Qualifications

Expert-level knowledge in modern Data Science & AI topics such as Customer Churn, Predictive Maintenance, Sentiment Analysis, Object Detection, Object Tracking, LLMs, Forecasting, Reinforcement Learning, MLOps, Neural Nets, etc.

Proficient in building and deploying AI-ML solutions on cloud platforms like AWS, Azure, and GCP.

Strong
- on knowledge of Python, APIs, SQL, and integrating solutions.

Proficiency in data engineering concepts and tools, including SQL, ETL pipelines, distributed computing frameworks (. , Spark), and cloud platforms (. , AWS, Azure, GCP).

Experience with MLOps tools and platforms like Kubeflow, MLflow, Tensor
Flow Extended (TFX), Docker, and Kubernetes for automating model deployment, monitoring, and management.

Ability to apply statistical techniques, visualization, and data analytics to derive insights from data and enable
- making.

Excellent
- solving and debugging skills.

Ability to deeply dive into requirements, create solutions, review code, and estimate effort.

Excellent communication skills in English.

Detalii privind locul de muncă:

Firma:	Nagarro
Localiția:	Bucureşti București, Municipiul București, Romania
Adăugat:	8. 8. 2024 Postul de muncă activ

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