Purpose of the Job:
The Vice President - Data Engineering is a strategic leadership role responsible for driving the integration of data science and engineering to deliver innovative solutions and insights. Reporting directly to the CEO, will oversees a team of data scientists, engineers, analysts, and data architects to create a seamless ecosystem for data-driven decision-making. This role requires a strong blend of technical expertise, leadership skills, and business acumen.
Key Responsibilities:
- Act as a technical thought leader in collaboration with the analytics leadership team, helping to set the strategy and standards for Machine Learning and advanced analytics.
- Work with senior leaders from all functions to explore opportunities for using advance analytics.
- Provide technical leadership, coaching, and mentoring to talented data scientists and analytics professionals.
- Guide data scientists in the use of advanced statistical, machine learning, and artificial intelligence methodologies.
- Guide the work of other Machine learning team members to provide support and assistance, while also ensuring quality.
- Identify new areas of organizational growth with ML & applied sciences.
Qualifications Requirement:
Experience, Skills & Education:
- 15+ years of relevant experience in Data Engineering.
- Product development experience in Data Science
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Proficiency in programming languages like Python, Java, or Scala.
- Experience in big data technologies (e.g., Hadoop, Spark) and cloud-based data platforms (e.g., AWS, Azure, GCP).
- Experience with data modelling, ETL processes, and data integration techniques.
- Strong understanding of database systems (e.g., SQL, NoSQL) and data warehousing developments.
- Problem-solving skills and the ability to optimize data processes for performance and efficiency.
- Excellent communication and teamwork abilities to collaborate effectively with cross-functional teams.
- Hands-on experience with SQL and any BI platform (Tableau, PowerBI, Qlikview, Looker, Quicksight, etc).
- Conceptual understanding of basic statistical concepts (Sampling, Distributions, Central tendency, Hypothesis testing, etc).
- Ability to identify relevant data to solve business problems and (in)validate hypotheses.
- Prior data modelling experience in R/Python and some classification and/or regression techniques.
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Job Code
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378
JOB VIEWS
121
APPLICATIONS
80
RECRUITER ACTIONS
See how you stand against competition
Pro
View Insights
Posted in
IT & Systems
Job Code
1475131
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