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In this role you will report to GFGO Data office – Head of Data & Analytics – Strategy & Engineering and will be contributing to our efforts in both artificial intelligence (AI) and automation technologies, aligning with overall data strategy and business objectives. You will play a key leadership role in transforming raw data into actionable insights that drive business value. You will collaborate closely with cross-functional teams across the organization to identify key business challenges, design and implement innovative data-driven solutions, and effectively communicate your findings to both technical and non-technical audiences.
Job Responsibility:
Partner with business stakeholders to understand their needs, translate them into technical requirements, and develop data-driven solutions
Communicate complex AI concepts to non-AI stakeholders (Data Domains, Enablers, etc.) and facilitate multi-functional collaboration
Establish and enforce data governance policies and procedures to ensure the ethical and responsible use of data in AI applications
Implement Objective Key Results to measure the performance and impact of AI and automation solutions & regularly report on the progress and success of AI initiatives to the Head of Data &AI
Lead and manage complex data science projects from inception to deployment, ensuring successful delivery and impact on business objectives
Develop, implement, and optimize machine learning models and algorithms to solve real-world business problems
Perform data cleaning, wrangling, and transformation to ensure data quality and prepare it for analysis
Conduct exploratory data analysis (EDA) to uncover hidden patterns, trends, and insights within data sets
Develop clear and concise data visualizations to effectively communicate complex findings to both technical and non-technical audiences
Stay up to date on the latest advancements in data science methodologies and tools, and actively seek opportunities to incorporate them into our practices
Mentor and guide junior data scientists within the team, fostering a collaborative and learning environment
Requirements:
PhD in Statistics, Computer Science, Mathematics, or a related field (or) master’s / bachelor’s degree with significant work experience
Minimum 5 to 12+ years of experience as a Data Scientist or similar role
Proven track record of successfully leading and delivering data science projects with tangible business impact
Strong expertise in LLM, deep learning, machine learning algorithms (e.g., supervised learning, unsupervised learning, reinforcement learning) and statistical modelling
Proficiency in programming languages such as Python, R, and familiarity with big data processing tools (e.g., Spark, Hadoop) is a plus
Familiarity in developing and deploying E2E AI solutions in cloud platforms (Azure, AWS, GCP)
Excellent communication and collaboration skills, with the ability to effectively translate complex technical concepts to a non-technical audience
Strong problem-solving skills and a passion for applying data science techniques to solve real-world problems
Ability to work independently and manage multiple projects simultaneously while meeting deadlines