Job Description

About the Company:
Our client is a globally recognized professional services firm with a rich history of delivering innovative solutions to their clients. They are dedicated to helping organizations thrive and achieve their business objectives through advanced data-driven strategies. As a Data Science Manager, you will have the opportunity to lead groundbreaking projects and contribute to the growth and success of their clients.

Key Responsibilities:

• Lead the full project cycle, from solution conceptualization to implementation and testing.
• Develop and implement data architecture strategies.
• Utilize data modeling and visualization techniques to provide valuable insights.
• Collaborate with clients and internal teams to identify opportunities for data-driven solutions.
• Leverage expertise in Python, SAS, R, SQL, Azure, Dashboard development, Power BI, Tableau, and Synapse for data analysis and visualization.
• Develop and maintain data pipelines using Synapse.
• Explore and manipulate data to uncover insights and develop programming-based solutions.
• Implement and showcase successful data science applications.

Additional Functions:

• Drive process automation and Robotics Process Automation (RPA) initiatives.
• Collaborate on Enterprise Data and Software Development projects.
• Contribute to interface development to enhance user experience.
• Work closely with clients, providing solutions to divisions including credit.

Qualifications:

• Relevant Bachelor's degree (i.e. Computer Science, Information Technology, Mathematics and Statistics).

Job Experience & Skills Required:

• Proven experience in data science and analytics.
• Strong background in data science and its applications.
• 5-8 years' experience.
• Proficiency in Python, SAS, R, SQL, Azure, Dashboard development, Power BI, Tableau, and Synapse.
• A track record of implementing innovative data solutions in various industries.
• Experience in process automation, RPA, software development, and interface development.
• Client interaction and relationship-building skills.
• Innovative mindset, willing to explore new technologies and methodologies.

Apply now!
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