We are looking for a seasoned Senior Data Science Consultant to join our team.In this role, you will leverage your expertise in data science to develop impactful solutions that solve complex business challenges. You will collaborate with clients and internal teams to craft strategies that maximize the value of data insights. This position requires strong leadership skills, a creative approach to problem-solving, and the ability to translate business needs into actionable data solutions. Additionally, you will guide teams and drive the adoption of cutting-edge technologies to deliver excellence.ResponsibilitiesLead the development and implementation of data science solutions tailored to business needsWork collaboratively with stakeholders to identify opportunities for data-driven strategiesBuild and refine machine learning models to improve workflows and business outcomesDesign and maintain analytics frameworks that support informed decision-makingEnsure data science systems are scalable, reliable, and adaptable to various environmentsProvide mentorship and technical guidance to data science teams to foster growth and expertiseAnalyze data to uncover trends, patterns, and critical insights for actionable recommendationsPresent results and solutions effectively to both technical and non-technical audiencesStay current with advancements in artificial intelligence, machine learning, and data science technologiesDrive innovation by introducing new techniques and tools to enhance workflows and solutionsRequirementsAt least 10 years of experience in IT, with a focus on data science and analyticsMinimum of 5 years in senior leadership roles, such as Manager, Architect, or Lead, within Agile or hybrid environmentsProven experience managing teams of 40 or more, ensuring productivity and alignment with project objectivesParticipated in at least 8 full project lifecycles or successfully launched 2 or more products or significant features to marketExpertise in data engineering, including data preparation, modeling, and visualization for business applicationsStrong understanding of machine learning methodologies, including supervised and unsupervised approaches, and their implementationDemonstrated ability to create AI and ML strategies to address complex business problemsAdvanced knowledge of Python for data analysis, manipulation, and machine learning workflowsPractical experience with PyTorch for building and deploying deep learning modelsFamiliarity with TensorFlow for scalable machine learning development and deploymentSolid experience with cloud platforms such as AWS, Azure, or GCP for managing and deploying data science solutionsExceptional English communication skills, with the ability to articulate technical concepts clearly and effectivelyNice to haveCertifications in data science, machine learning, or cloud technologies to showcase expertiseExperience integrating data science solutions with enterprise systems to enhance operational efficiencyKnowledge of advanced visualization techniques or tools to effectively communicate insights to stakeholders
