Job description

Our client, a cutting-edge technology firm specializing in advanced analytics and AI solutions, is seeking a highly skilled Senior Data Scientist for a fully remote position. This role is crucial for developing and implementing sophisticated machine learning models and data-driven strategies that unlock significant business value. The ideal candidate will possess a strong background in statistical modeling, machine learning algorithms, programming, and data visualization, with a passion for solving complex problems. Key responsibilities include designing and executing data mining projects, building predictive models, and developing algorithms to extract actionable insights from large, complex datasets. You will collaborate closely with product managers, engineers, and business stakeholders to define problem statements, translate business needs into analytical approaches, and communicate findings effectively. The Senior Data Scientist will be responsible for the entire data science lifecycle, from data collection and cleaning to model deployment and monitoring. This includes performing exploratory data analysis, feature engineering, model selection, training, validation, and fine-tuning. Contributions to research and development, staying current with the latest advancements in AI and machine learning, and potentially publishing findings or presenting at conferences will also be part of this role. This is a remote-first position, offering maximum flexibility. Qualifications include a Master's degree or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field. A minimum of 5 years of professional experience in data science, machine learning, or advanced analytics is required. Proficiency in programming languages such as Python or R, along with experience in data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn), is essential. Strong understanding of SQL, NoSQL databases, and data warehousing concepts is necessary. Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP) is highly desirable. Excellent analytical, problem-solving, and communication skills are critical for success in this remote role. You will be instrumental in driving data-informed decision-making across the organization. Key responsibilities include: Developing and deploying advanced machine learning models. Conducting in-depth data analysis and statistical modeling. Extracting actionable insights from large datasets. Collaborating with cross-functional teams on data-driven projects. Designing and implementing experiments for model validation. Performing feature engineering and data preprocessing. Communicating complex findings to technical and non-technical audiences. Staying current with AI and machine learning research. Optimizing model performance and ensuring scalability. Contributing to the development of data science best practices.

Requirements