Lead Data Science and Analytics Engineer

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.

Other details

• Job Family Digital
• Job Function Digital
• Pay Type Salary
• Employment Indicator NexTier

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