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DigitalTurbine Sr Engineering Manager Data Science Israel, Center District, Petah Tikva 160147954
20.11.2024
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As a Senior Data Science Manager at Digital Turbine, you will lead a team of data scientists to leverage data to drive strategic decisions, optimize performance, and uncover actionable insights. A core objective of your role is to improve revenue, performance, and cost efficiency by creating cutting-edge, decision-making models that enhance our product offerings and improve user experiences.
Responsibilities of the Sr. Engineering Manager, Data Science:
- Lead, mentor, and develop a high performing team of data scientists, building ML models serving a production operation on a massive scale.
- Foster a culture of innovation, collaboration, and continuous learning
- Drive the development and execution of data science strategies aligned with business objectives.
- Proactively identify key opportunities where data science can add significant value to business offerings
- Oversee the design and implementation of complex analytical models and algorithms
- Utilize statistical analysis, machine learning, and other advanced techniques to address business challenges
- Partner with product managers, engineers, and key business stakeholders to understand requirements and deliver data-driven insights that support product development and business strategies
- Collaborate with engineering teams to ensure the development and maintenance of robust data infrastructure and tools.
- Optimize data pipelines and workflows to ensure data quality, accessibility, and cost efficiency
- Develop and track KPIs to measure the impact of data science initiatives. Provide actionable insights and recommendations based on data analysis
- Stay abreast of industry trends, emerging technologies, and best practices in data science
- Apply innovative approaches and techniques to solve complex problems
Qualification of the Sr. Engineering Manager, Data Science:
- Minimum of 8 years of experience in data science, with at least 2 years in a managerial or leadership role
- Proven track record of leading projects, managing teams, and driving business performance improvements using data science tools and techniques
- Domain expertise and hands-on experience working at mobile advertising, app discovery, or gaming companies - a must.
- Proficiency in programming languages such as Python or R, as well as industry standard ML libraries
- Strong experience with data manipulation and analysis technologies, such as SQL, GBQ, Spark, and Databricks.
- Knowledge of machine learning frameworks, libraries, and tools, such as PyTorch, PyTorch Lightning, MLFLOW, and TensorFlow
- Demonstrated expertise in statistical analysis, predictive modeling, and data visualization. Strong problem-solving skills with the ability to translate complex data into actionable insights
- Excellent communication and interpersonal skills, with the ability to convey complex technical concepts to non-technical stakeholders. Experience in presenting findings and recommendations to senior leadership
- A bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
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