Senior Data Scientist

Job not on LinkedIn

🔥 9 hours ago

🇷🇸 Serbia – Remote

⏳ Contract/Temporary

🟠 Senior

📊 Data Scientist

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Parser

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2018

💼 Consulting

📣 Marketing

🤖 Artificial Intelligence

Consulting • Marketing • Artificial Intelligence

Parser is a technology solutions company that elevates organizations through innovative AI-driven strategies and expert engineering services. The company partners with technology leaders to achieve key business goals, focusing on adaptability, customization, and collaboration. With a commitment to fostering innovation and long-term partnerships, Parser delivers comprehensive solutions in software engineering, AI and data utilization, product design, and digital transformation consulting.

📋 Description

• Design, train, and validate predictive and optimization models using classical ML, statistical modeling, and deep learning architectures • Own the end-to-end ML lifecycle on AWS using SageMaker, Lambda, and ECS • Implement robust MLOps practices, CI/CD pipelines, and automated retraining workflows • Design and execute evaluation pipelines, A/B testing frameworks, and hypothesis testing • Establish model monitoring protocols to track data drift, concept drift, and system health after deployment • Collaborate with software and platform engineering teams to optimize inference latency, throughput, and system scalability • Partner with Product, Commercial, and Strategy stakeholders to translate commercial problems into actionable data initiatives • Communicate quantitative findings and strategic trade-offs to technical peers and executive non-technical leaders • Influence marketplace metrics, conversion rates, and revenue generation through predictive and optimization models

🎯 Requirements

• 4+ years of hands-on experience in Data Science or Advanced Analytics delivering measurable, production-grade business impact • Advanced proficiency in Python (Pandas, NumPy, Scikit-learn) and complex SQL querying • Practical experience using deep learning frameworks (PyTorch or TensorFlow) • Experience deploying, scaling, and maintaining machine learning workloads on AWS cloud infrastructure (SageMaker, ECS, Lambda) • Solid theoretical and applied foundation in statistical inference, experimental design, and supervised/unsupervised machine learning methodologies • Exposure to Generative AI workflows, LLM orchestration, and advanced prompt engineering • Degree (Bachelor’s or higher) in Data Science, Computer Science, Mathematics, Statistics, or an equivalent quantitative discipline • Hands-on experience with model interpretability and explainability frameworks (e.g., SHAP, LIME) within regulated or customer-facing environments • Prior working background in Computer Vision (CV) or Natural Language Processing (NLP) • Ability to accommodate UAE working hours

🏖️ Benefits

• A highly competitive compensation package • Continuous learning and development support with access to cutting-edge AI/ML tools and platforms • Opportunity to join an organization with triple-digit growth • Opportunity to be part of an amazing, multicultural community of tech experts • Inclusive workplace and equal employment opportunities • Reasonable accommodations during the recruitment process