Senior Data Scientist

Role Summary 
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.
 
 
Key Responsibilities 
•    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
 
Required Qualifications 
•    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 Natural Language Processing (NLP), 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.

(Note: Due to the high volume of applications we receive, we are unable to respond to every candidate individually. If you have not received a response from GFT regarding your application within 10 workdays, please consider that we have decided to proceed with other candidates. We truly appreciate your interest in GFT and thank you for your understanding)