Senior Data Scientist

GFT Technologies
Québec, United States
about 2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
4 years minimum
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Artificial Intelligence Amazon Web Services Big Data C++ (Programming Language) Cloud Database Information Engineering Data Mining DevOps R (Programming Language) Python (Programming Language) Machine Learning
+4 more
Software Engineering Large Language Models Machine Learning Operations Data Pipelines

Job description

  • Human-Centered Analysis: Manipulate human behavior, sentiment, and language data to uncover hidden patterns and support data-driven decision-making.

  • AI/ML Model Development: Craft effective prompts to interact with AI models, optimizing output quality and relevance, performing fine-tuning, data feeding, validation, and engineering for continuous improvement.

  • Deliver Pragmatic Solutions: Consistently make pragmatic technical decisions that prioritize business value and speed of delivery, aligning with our early-stage startup environment.

  • Cross-functional Collaboration: Work with other product and engineering teams to understand data needs and ensure smooth data solution delivery

Requirements

  • Bachelor’s in Software Engineering or related fields.

  • Strong in one or more programming languages (Python, R, C++, Java), with prior experience in data engineering, cloud data architecture, or large-scale data pipeline development.

  • 6+ years of relevant data science experience, with a strong emphasis on consumer-facing platforms, human-generated data, or equivalent data science domains.

  • 4+ years of experience applying advanced statistical methods and data mining techniques to identify new business opportunities and address existing challenges, including experience building data products from concept to production.

  • Experience with AI/Machine Learning (ML), including LLMs and trendy ML models, encompassing prompt engineering, fine-tuning, pipeline setup, validation, and Quality Assurance (QA) for targeted applications.

  • Experience translating complex technical concepts to non-technical partners.

Preferred Qualifications

  • Knowledge of Data Engineering, DevOps practices for AI model deployment, and MLOps principles.

  • AWS Experience: Familiarity with core AWS services used in a data context.

  • Experience in a Startup Environment: Comfortable with ambiguity and a fast-paced setting.

About the company

GFT Technologies is an AI-centric global digital transformation company. We design advanced data and AI transformation solutions, modernize technology architectures and develop next-generation core systems for industry leaders in Banking, Insurance, Manufacturing and Robotics. Partnering closely with our clients, we push boundaries to unlock their full potential. With deep industry expertise, cutting-edge technology, and a strong partner ecosystem, GFT delivers responsible AI-centric solutions that combine engineering excellence, high-performance delivery and cost efficiency. Our team of 12,000+ technology experts operate in 20+ countries worldwide offering career opportunities at the forefront of software innovation., We’re seeking a seasoned Senior Data Scientist who can tackle complex business challenges and transform them into innovative technical solutions. In this role, you’ll dive deep into statistical analysis, data mining, and cutting-edge Large Language Model (LLM) technologies to shape the future of AI-driven products. You’ll engage hands-on with emerging technologies, pushing the boundaries of what’s possible in AI from early ideation and research through to final delivery. Join us to take the helm in developing data-driven product features, mentor up-and-coming talent, and help define the next frontier of AI-powered innovation! You will closely collaborate with not only the data team but also product managers and engineers to ensure successful analytics or AI feature execution.

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