Job summary We are seeking a highly skilled and experienced Senior Data Scientist to our dynamic team. This role is pivotal in driving the company's data-driven initiatives by developing and deploying advanced machine learning models and leveraging AI technologies to extract actionable insights from complex datasets. Responsibilities - Design, develop, and implement robust machine learning models tailored to solve complex business problems and improve product offerings - Utilize AI technologies to analyze large and diverse datasets, uncovering trends, patterns, and insights that inform strategic decision-making - Collaborate with cross-functional teams including product managers, engineers, and analysts to translate business requirements into scalable data science solutions - Lead the end-to-end lifecycle of AI model deployment, ensuring models are production-ready, maintainable, and performant within cloud environments Qualifications - Proven expertise in designing, building, and deploying machine learning models using supervised, unsupervised, and reinforcement learning techniques. Experience with model selection, feature engineering, hyperparameter tuning, and performance evaluation is essential - Advanced proficiency in Python programming, including libraries such as scikit-learn, TensorFlow, PyTorch, and pandas for data manipulation, model development, and experimentation. Ability to write clean, efficient, and well-documented code - Strong analytical skills to interpret complex datasets, perform exploratory data analysis, and derive meaningful insights that drive business value. Experience with statistical testing and hypothesis validation is critical - Deep understanding of statistical concepts and methods, including regression, classification, time series analysis, and probabilistic modeling to support robust data-driven conclusions Skills - Expertise in creating compelling visualizations using tools like Matplotlib, Seaborn, or equivalent to effectively communicate data insights and model results to diverse audiences - Experience deploying AI and machine learning models into production environments, ensuring scalability, reliability, and integration with existing systems. Familiarity with containerization and orchestration technologies is a plus - Proficient in SQL for querying and managing relational databases, optimizing queries, and working with large datasets stored in systems such as MySQL, PostgreSQL, or Microsoft SQL Server Desired requirements - Cloud Computing: Experience working with cloud platforms such as AWS, Google Cloud Platform, or Azure to build, deploy, and manage machine learning models and data pipelines. Knowledge of cloud-native services for AI/ML is advantageous - Big Data Technologies: Familiarity with big data ecosystems including Hadoop, Spark, or similar frameworks to process and analyze large-scale datasets efficiently - Data Engineering: Understanding of data engineering principles and tools to collaborate effectively with engineering teams on data ingestion, transformation, and pipeline automation. Experience with ETL processes and workflow orchestration tools is beneficial Benefits - Stay current with the latest advancements in machine learning, AI, and data science methodologies to continuously enhance LTK's data capabilities - Collaborate with data engineering teams to ensure data quality, availability, and efficient data pipelines that support machine learning workflows - Participate in defining best practices for data science processes, including model governance, reproducibility, and ethical AI considerations Location Remote Country CO Descripción del trabajo Lorem ipsum dolor sit amet , consectetur adipiscing elit. Nullam tempor vestibulum ex, eget consequat quam pellentesque vel. Etiam congue sed elit nec elementum. Morbi diam metus, rutrum id eleifend ac, porta in lectus. Sed scelerisque a augue et ornare. Donec lacinia nisi nec odio ultricies imperdiet. Morbi a dolor dignissim, tristique enim et, semper lacus. Morbi laoreet sollicitudin justo eget eleifend. Donec felis augue, accumsan in dapibus a, mattis sed ligula. Vestibulum at aliquet erat. Curabitur rhoncus urna vitae quam suscipit , at pulvinar turpis lacinia. Mauris magna sem, dignissim finibus fermentum ac, placerat at ex. Pellentesque aliquet, lorem pulvinar mollis ornare, orci turpis fermentum urna, non ullamcorper ligula enim a ante. Duis dolor est, consectetur ut sapien lacinia, tempor condimentum purus. Obtén acceso completo Accede a todos los puestos de alto nivel y consigue el trabajo de tus sueños. Inscríbete ahora