As the Lead Data Insights & Analytics, you will be responsible for driving data-driven decision-making processes within the organization. Your role encompasses leading a team of data scientists, developing, and implementing machine learning models, and effectively communicating insights to stakeholders. You will play a crucial part in leveraging data to drive business strategy and improve operational efficiency.

KEY TASKS AND RESPONSIBILITIES

• Lead and manage a team of data scientists to deliver actionable insights and analytics solutions.
• Develop, implement, and maintain machine learning models to extract valuable insights from large datasets.
• Collaborate with cross-functional teams to identify business opportunities and address challenges through data analysis.
• Utilize advanced analytics techniques to forecast trends, identify patterns, and optimize business processes.
• Design and execute experiments to test hypotheses and measure the impact of data-driven initiatives.
• Translate complex data findings into understandable and actionable insights for stakeholders at all levels.
• Establish data governance processes and ensure data quality and integrity across all systems.
• Stay updated on industry trends and emerging technologies in data science and analytics.

REQUIREMENTS

SKILLS AND COMPETENCIES

• Proficiency in programming languages such as Python, R, or SQL.
• Strong analytical and problem-solving skills with a keen attention to detail.
• Experience in developing and deploying machine learning models in production environments.
• Excellent communication and presentation skills, with the ability to convey technical concepts to non-technical stakeholders.
• Leadership abilities with a track record of effectively managing and mentoring a team of data scientists.
• Solid understanding of data visualization techniques and tools (e.g., Tableau, Power BI).
• Ability to prioritize and manage multiple projects simultaneously in a fast-paced environment.
• Strong stakeholder management skills, with the ability to build and maintain relationships across departments.

KNOWLEDGE & EXPERIENCE

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Over 5 years of experience in data science, analytics, or a related field, with a proven track record of delivering impactful insights.
• Hands-on experience in building and deploying machine learning models using frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP) is preferred.
• Familiarity with agile methodologies and project management practices.
• Experience working in industries such as finance, healthcare, e-commerce, or technology is advantageous.

QUALIFICATIONS

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.