Senior Data Scientist

We’re on the lookout for passionate data scientists to join our founding team. If you thrive on tackling ambiguous technical challenges and want to apply cutting-edge research to real-world problems, this is your chance to make a significant impact. Be part of a dynamic startup where your contributions will directly shape the future of hiring!

Key Responsibilities

Algorithm Development: Design and implement advanced algorithms for natural language processing, machine learning, and data analysis to enhance our automated interviewing system.

Data Analysis: Analyze large datasets to extract meaningful insights, identify patterns, and improve the performance of our AI models.

Model Evaluation and Optimization: Conduct rigorous testing and validation of models, iterating on designs to optimize accuracy and efficiency.

Research and Innovation: Stay updated on the latest advancements in AI and machine learning, integrating cutting-edge techniques into our product offerings.

Deployment and Monitoring: Oversee the deployment of models into production, ensuring robust performance monitoring and maintenance.

Ethical AI Practices: Advocate for and implement best practices in ethical AI, ensuring fairness, transparency, and accountability in our systems.

Continuous Improvement: Identify opportunities for process improvements in data collection, model training, and overall workflow efficiency.

Qualifications

Education: Bachelor or Master’s in Computer Science, Statistics, Mathematics, or a related field.

Experience: Exptensive knowlege or experience in data science, machine learning, or AI, with a strong portfolio of projects demonstrating relevant skills.

Technical Proficiency:
Proficient in programming languages such as Python, R, or Java.

Strong experience with machine learning frameworks (e.g., GPT, MinstralAI, Vertex, Tensorflow)

Statistical Analysis: Deep understanding of statistical methods and data analysis techniques, with the ability to apply them in practical scenarios.

Natural Language Processing: Experience in NLP techniques and frameworks, including text classification, sentiment analysis, and language modeling.

Experience with Multimodal Generative AI.

Problem-Solving Skills: Strong analytical and critical thinking skills, with a proven ability to solve complex, ambiguous problems.

Continuous Learning: A passion for staying updated with the latest trends and advancements in AI and data science.