Staff Data Scientist

Job not on LinkedIn

🔥 3 minutes ago

🇨🇦 Canada – Remote

💵 $185k - $200k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

👻 Ghost score 0%

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Mindbridge

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2004

🤝 B2B

💼 Consulting

🏢 Enterprise

B2B • Consulting • Enterprise

Mindbridge is one of the fastest-growing business process outsourcing (BPO) companies, providing end-to-end customer experience and back-office services that combine automation, analytics and human teams. They offer omnichannel CX management (chat, voice, email), 24/7 multilingual support, B2B sales, content moderation, creative design and animation, financial & accounting services including KYC and screening, document digitization, market surveys and analytics. Mindbridge serves tech and disruptive companies across fintech, telecom, ride-hailing, food delivery, social media and startups, operating in 25+ languages across EU, MENA, APAC and North America and handling large daily volumes (60k+ emails, 25k+ chats, 110k+ calls, 20k+ surveys).

📋 Description

• Lead the design, development and evaluation of advanced machine-learning models for large-scale structured and transactional data • Explore and apply transformers, sequence modelling, self-supervised learning and representation learning • Design experiments, benchmarks and evaluation frameworks to compare modelling approaches and measure generalization • Analyze complex datasets for data-quality issues, behavioural patterns, modelling opportunities and sources of bias or leakage • Develop reusable representations and modelling approaches for downstream use cases • Collaborate with engineering teams to train, deploy and operate models reliably at scale • Partner with Product and domain experts to identify applications and translate technical advances into customer-facing capabilities • Establish standards for modelling quality, reproducibility, documentation and experimentation • Mentor data scientists and machine-learning engineers • Communicate technical decisions, findings and trade-offs to technical and non-technical stakeholders • Contribute to machine-learning strategy and technical roadmap

🎯 Requirements

• Substantial experience building and deploying sophisticated machine-learning systems • Strong practical experience in several of: deep learning and modern neural-network architectures; transformer architectures, attention mechanisms or sequence models; representation learning, embeddings or self-supervised learning; structured, tabular, temporal, transactional or event-based data; predictive or generative machine-learning models; controlled experiments and rigorous model evaluation; large, noisy and heterogeneous datasets; Python and modern machine-learning frameworks such as PyTorch; CUDA and RAPIDS; production machine learning • Experience collaborating with ML or data engineering teams • Experience mentoring data scientists or providing technical leadership across complex projects • PhD in Computer Science, Data Science, Statistics, Mathematics, Engineering, Physics or another quantitative discipline, or equivalent practical experience • Typically 7+ years of relevant industry experience in Data Science, Machine Learning or Applied Research, with demonstrated impact at a senior or staff level • Strong understanding of machine-learning fundamentals, statistics and experimental design • Ability to independently lead technically complex projects from problem definition through experimentation and delivery • Strong programming and data-analysis skills • Ability to reason clearly about ambiguous problems and make pragmatic technical decisions • Strong written and verbal communication skills • Track record of collaborating across Data Science, Engineering, Product and business teams • Evidence of technical leadership through mentoring, setting standards, influencing architecture or defining modelling strategy • Fulfill requirements necessary to obtain full background check

🏖️ Benefits

• May be eligible for bonus awards