POSITION SUMMARY

The Lead Data Science and Analytics Engineer is responsible for leading our team in delivering actionable insights and innovative data science and analytics solutions. Must be a strategic thinker with a robust background in data science, analytics, and team management. They will be responsible for overseeing data science projects, guiding data-driven decision making, and contributing to our company's growth and success.

Key Accountabilities

Essential Functions

• Lead, mentor, and develop a team of data scientists, analysts, and data engineers.
• Foster a culture of continuous learning and professional development.
• Drive the team to achieve high levels of performance and productivity.
• Collaborate with stakeholders to identify data needs and develop data strategies aligned with business goals.
• Transform data into actionable insights through advanced analytical techniques.
• Communicate findings and recommendations to senior management and other stakeholders.
• Oversee the planning, execution, and delivery of data science projects.
• Ensure projects are completed on time, within scope, and with high quality.
• Manage project resources, budgets, and timelines effectively.
• Develop and implement data science and analytics strategies to support business objectives.
• Stay updated on emerging trends and technologies in data science and analytics.
• Identify opportunities for innovation and improvement in data practices.
• Ensure data integrity, accuracy, and consistency across all data sources and projects.
• Implement and enforce data governance policies and best practices.
• Promote the use of reliable data for decision-making.
• Work closely with other departments to support their data needs and objectives.
• Build strong relationships with internal and external stakeholders.
• Promote a collaborative approach to data initiatives across the organization.
• All other duties and initiatives as assigned.

Required Knowledge, Skills, and Abilities

Knowledge/Skill/Ability

• Strong background in system, data, and cloud data management
• Knowledge of data science and analytics techniques

• Accomplishes human resource objectives by motivating, recruiting, selecting, orienting, training, assigning, scheduling, coaching, counseling, and disciplining employees; communicating job expectations; planning, monitoring, appraising, and reviewing job contributions; planning and reviewing compensation actions; enforcing policies and procedures.
• Proficiency in data analysis tools and programming languages (e.g., Python, R, SQL).
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Knowledge of data warehousing, ETL, and MLOps processes.
• Familiarity with cloud platforms (e.g., GCP, AWS, Azure) and big data technologies (e.g., Hadoop, Spark).
• Excellent communication and presentation skills.
• Strong problem-solving and critical-thinking abilities.
• Ability to manage multiple projects and prioritize tasks effectively.
• Strong leadership and team-building skills.

Minimum Required Education

Education Level

• Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field Required  (Master’s or PhD preferred.)
• Certification in data science or related fields. required

Minimum Required Work Experience

Experience

• More than 5 years is required.
• Strong background in data analysis, statistical modeling, and machine learning is required.
• Proven experience in managing and leading data teams is preferred.
• Experience with agile project management methodologies is required.