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DigitalTurbine Sr Engineering Manager Data Science Israel, Center District, Petah Tikva 253138898
Yesterday
Key Responsibilities
- Lead, mentor, and develop a high-performing team of data scientists, building ML models serving a production operation of a gargantuan 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 and lead key opportunities where data science can add significant value.
- Oversee the design and implementation of complex analytical models and algorithms. Utilize statistical analysis, machine learning, and other advanced techniques to address business challenges.
- Work closely with product managers, engineers, and business stakeholders to understand requirements and deliver data-driven insights to 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.
Qualifications:
- Minimum of 8 years of experience in data science, with at least 3 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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