Director, Engineering - Data & Insights

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About the role

As Director, Engineering - Data & Insights, you will lead a team of engineers focused on leveraging advanced analytics and machine learning techniques to drive business insights and innovation. You will be responsible for designing and implementing data-driven solutions that enhance product performance and user experience. This role requires a deep understanding of data science principles and the ability to translate complex technical concepts into actionable strategies.

Responsibilities

• Lead a team of data scientists and engineers to develop and implement cutting-edge data analysis and machine learning models.
• Collaborate with cross-functional teams to define and execute data-driven initiatives that improve product performance and user engagement.
• Develop and maintain robust data pipelines and infrastructure to support scalable and efficient data processing and storage.
• Conduct regular data reviews and provide actionable insights to inform business strategy and decision-making.
• Stay current with emerging technologies and methodologies in data science and machine learning.

Requirements

• A minimum of 10 years of experience in software engineering or related fields, with at least 5 years leading a team of data scientists and engineers.
• A strong background in data science, machine learning, and statistical modeling.
• Experience with data warehousing, data mining, and data visualization tools.
• Proven track record of delivering high-quality, innovative solutions that have positively impacted business outcomes.
• Excellent communication and collaboration skills, with the ability to articulate technical concepts to non-technical stakeholders.
• Ability to work effectively in a fast-paced, dynamic environment and manage multiple projects simultaneously.

Qualifications

• PhD or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
• Experience with big data technologies such as Hadoop, Spark, and NoSQL databases.
• Knowledge of cloud platforms like AWS, Google Cloud, or Azure.
• Experience with Python, R, or other programming languages commonly used in data science.

Skills

• Strong analytical and problem-solving skills.
• Experience with data storytelling and presenting complex data insights to executive leadership.
• Ability to mentor and develop a team of data scientists and engineers.
• Passion for using data to drive business growth and innovation.

Benefits

• Competitive salary commensurate with experience.
• Flexible remote work options.
• Health insurance coverage.
• Retirement savings plan.
• Professional development opportunities.

Pay

Salary range: $150,000 - $200,000 per year, depending on experience and qualifications.

Schedule

Full-time position, with flexible working hours to accommodate remote work.