Job Description
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.

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.