Senior Data Scientist

About the job

Our client is actively seeking a highly skilled Senior Data Scientist with a strong specialization in Artificial Intelligence and Machine Learning to join their innovative product development team. This is a fully remote position, offering the flexibility to work from anywhere while contributing to cutting-edge projects. You will be at the forefront of developing and deploying advanced ML models to solve complex business problems, enhance product features, and drive data-driven decision-making. Responsibilities include designing, building, and optimizing ML algorithms, conducting exploratory data analysis, feature engineering, and model evaluation. You will work with large, diverse datasets, utilizing a range of statistical techniques and machine learning frameworks. Collaboration with engineering, product management, and other data science teams will be key to ensure the successful integration and deployment of models into production environments. The ideal candidate will have a deep understanding of various ML algorithms (supervised, unsupervised, deep learning), experience with big data technologies, and proficiency in programming languages such as Python or R. A strong foundation in statistical modeling, experimental design, and data visualization is also essential. You will be expected to contribute to the team's technical strategy, mentor junior scientists, and stay abreast of the latest advancements in AI and ML research. This role offers a challenging and rewarding opportunity to shape the future of our client's data-driven initiatives and contribute to impactful technological advancements. The remote nature of this role allows for broad collaboration and access to a diverse talent pool, fostering an inclusive and dynamic work environment. You will be part of a forward-thinking organization that values innovation and continuous learning. The opportunity to work on complex, real-world problems with significant business impact is unparalleled. Key Responsibilities: Design, develop, and deploy sophisticated AI/ML models. Conduct in-depth data analysis and feature engineering. Collaborate with cross-functional teams to define project requirements and integrate models. Perform model validation, tuning, and optimization for production environments. Stay current with state-of-the-art AI/ML research and techniques. Mentor junior data scientists and contribute to team best practices. Communicate complex findings and technical concepts to both technical and non-technical stakeholders. Contribute to the overall data science strategy and roadmap.

Requirements

• Python
• R
• Machine Learning
• Statistical Modeling
• Data Visualization

Qualifications

• Master's or Ph.D. in Computer Science
• Statistics
• Mathematics

Preferred Technologies

• Python
• R
• Machine Learning
• Statistical Modeling
• Data Visualization