Lead Data Scientist

ADP is hiring a Lead Data Scientist 

                                                                      

Position Summary:

Are you a seasoned data scientist with deep curiosity, passion for analysis and desire to work collaboratively with business stakeholders to solve some of our most challenging problems?

ADP Global Shared Services is looking for a “data lover” with a passion to constantly think “out of the box” to solve / improve data problems and leverage critical thinking to innovate & implement new “actionable” ideas. 

 

The Data Scientist will be responsible for:

• Process, filter, and automate large amount text data pipelines to uncover actionable business insights.
• Help create the vision for future analytical studies that uses advanced analytics technologies. Identifies opportunities where analytics can be used to identify and measure business results.
• Use innovative technologies such as GenAI, machine learning, predictive analytics, and textual analysis to build models. 
• Leverage Deep learning / AI / NLP and develop text analytics solution to extract information.
• Build deep partnership with business and technology stakeholders from across the enterprise to understand and existing available data sources.
• Understand and contribute to data science best practices at ADP.

 

This individual will be a member of the COO Strategics Analytics Team, a highly collaborative team, which provides deep analytics support to solve the most challenging business problems here at ADP, including client experience, call reduction, retention, pricing, contact center optimization and digital channel optimization.

 

Requirements:

• A degree in Computer Science, Physics, Statistics or related STEM discipline or equivalent demonstrated experience. Advanced degree preferred but not required. 
• 3-5 years of post-graduate experience (excluding internships/co-op) building statistical models and Data Science / Machine Learning work experience (required), experience in B2B, SaaS a plus.
• Exceptional analytical and problem-solving skills; ability to structure and conduct appropriate analyses. Prior experience in analytics, consulting, client experience, continuous-improvement or related fields a plus. 
• Strong technical skills in SQL, Python, R, Hadoop. Experience in Tableau or other visualization software, including ability to translate findings to executive audience through use of slides, charts, tables, etc.
• Machine learning skills e.g., Regression, Classification, Clustering. Experience in NLP and Language model is preferred. 
• Ability to employ ingenuity and creative data analysis within a robust statistical framework.
• The ability to successfully navigate complexity, ambiguity, and pressure to get things done in a fast-paced environment that requires balancing competing priorities.
• Ability to work in a highly collaborative manner with a reasonable degree of independence.
• Ability to create compelling presentations (including charts, tables, graphs) to translate analytic findings to an executive audience.
• Exceptional communication, partnership, and collaboration skills.
• Results-oriented, self-starter – quick learner and able to adapt to changing business priorities.

Key Responsibilities:

• Provide key support on strategic initiatives and ad-hoc analyses by leveraging analytical and problem-solving skills; conduct in-depth analyses to support initiatives to identify opportunities and risks, recommendations, etc.

Support includes:

• Process, filter / automate large amount text data pipelines to uncover actionable business insights.
• Use innovative technologies such as machine learning, predictive analytics, and textual analysis to build models. 
• Leverage Deep learning / AI / NLP / GenAI and develop text analytics solution to extract information for Strategic Initiatives
• Uncover opportunities where analytics can be used to identify and measure business results. This can be accomplished by using multiple analytic methods to identify key drivers of client experience related metrics and provide insightful, innovative, and actionable