Job Opportunities in Israel

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 Py Torch, Py Torch Lightning, MLFLOW, and Tensor Flow
• 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