Director of Data Science & Analytics

Director of Data Science and Analytics

Hybrid Model - 3 Days

The Company:My client, a growing telecommunications company recently acquired by a dynamic private equity firm, is entering an exhilarating phase of expansion and innovation. This is your chance to join a company that's poised to revolutionize the industry!

Key Responsibilities:

• Develop and implement a generative AI strategyto leverage the latest advancements in AI for innovative solutions.
• Lead and mentor project teams in creating comprehensive data and analytics solutions, including defining data sources, building ETL routines, developing algorithms, testing and training models, and documenting models.
• Oversee customer analytics projects, including segmentation and churn analysis, to drive strategic business insights.
• Optimize propositions for services such as network plans and customer support, ensuring alignment with business goals.
• Enhance product and service analytics efforts, including network optimization, to maximize business performance.
• Collaborate with senior leadership to develop and execute detailed plans for solution delivery, ensuring alignment with organizational objectives.
• Build and maintain strong relationships with business stakeholders, fostering a collaborative environment within the data science and analytics community.

About the Team:The data science and analytics teams at my client's company provide critical analysis for various departments, including Commercial, Marketing, Operations, and Product teams. They are committed to continuous learning and staying up-to-date with the latest developments in data analytics.

What You'll Need:

• Extensive expertise in advanced analytics, including AI, machine learning, optimization, simulation, predictive analytics, and advanced statistical techniques.
• Proven experience in developing and implementing generative AI solutions and strategies.
• Exceptional problem-solving skills with the ability to break down complex problems and identify key performance drivers.
• Outstanding communication skills to effectively convey data insights to various functions at all levels of the business.
• Deep proficiency in core analytical techniques and a proven track record in delivering data science and analytics projects.
• A PhD in decision science, engineering, mathematics, physics, operational research, econometrics, statistics, or another quantitative field.
• Extensive experience in a data science and analytics role using tools such as SQL, Python, R, Power BI, and Azure.
• Experience with Databricks and working with large amounts of data.

Ready to lead and innovate in the field of data science and analytics? Apply now and join a team that's shaping the future of telecommunications!🌟