Senior Data Scientist

As a Data Scientist at unifyCX, you will be responsible for leveraging your technical expertise to develop data-driven solutions that drive tangible business outcomes. With a strong background in advanced machine learning, database management, and cloud platforms, you will play a crucial role in generating valuable business insights and creating impactful machine learning models that are closely aligned with the overall business strategy. With over 5 years of experience in data science, you will bring a proven track record of creating business-use cases and delivering successful machine learning models. Your responsibilities will include collaborating with business stakeholders to understand their challenges, translating business objectives into clear data science problems, and developing actionable use cases that articulate expected business outcomes and performance metrics. In the realm of machine learning and predictive modeling, you will design and implement algorithms using frameworks like scikit-learn, TensorFlow, Keras, and PyTorch to solve complex business problems. You will also be tasked with developing and maintaining scalable machine learning pipelines, conducting model evaluation and optimization, and ensuring the highest level of performance through hyperparameter tuning. Data management and integration will be a core aspect of your role, involving the management and manipulation of large datasets to ensure quality and consistency. You will work with various database technologies such as MySQL, PostgreSQL, and MongoDB to extract, clean, and preprocess data for analysis. Collaborating with data engineering teams, you will integrate machine learning models with database systems and backend services to streamline operations. Your expertise in cloud platforms such as AWS, Google Cloud, or Azure will be essential for building and deploying data science models at scale. Leveraging cloud-based tools and services, you will automate workflows, ensure scalability, and optimize performance to drive efficiency and effectiveness in your projects. In terms of project methodology and collaboration, you will apply best practices from Agile, ITIL, Prince2, or Waterfall methodologies to ensure efficient project execution and timely delivery of data science solutions. Working closely with cross-functional teams, including business analysts, engineers, and product managers, you will ensure that data science projects are aligned with broader business goals, fostering a collaborative and goal-oriented work environment.,