Sr Data Scientist- Analytics

Description

The Human Resource Analytics team at Citizens Bank leads the organization’s understanding of workforce insights and organizational health. Our team uncovers holistic data-driven business opportunities across the talent lifecycle to enable transformational change and operational efficiency. We analyze internal and external data to understand diverse employee voices, and experiment to scale solutions that make the work experience better.

The ideal candidate sees beyond the numbers to find opportunities to strengthen the employee experience and organizational performance. The candidate is a change agent with a demonstrated track record of marrying complex sets of people data with business imperatives to create actionable insights on performance, retention, and organizational agility. The candidate possesses strong quantitative skills, is capable of managing multiple projects simultaneously, and can communicate effectively with executive and technical audiences.

An “outside in” perspective, data science skills, high intellectual curiosity, and a consultative posture are essential skills to possess in this role.

The HR Data Science Consultant at Citizens Bank will:

• Synthesize business goals and strategy with HR, productivity, and market data to build integrated, tangible recommendations on talent and culture topics to drive individual and organizational outcomes; employ consultative and analytical techniques to make recommendations, moving from the “so what” and “now what,” to drive impact across Citizens’.
• Consult with business clients on workplace insights including diagnoses, research design, hypothesis testing, advances analyses, visualization, and presentation.
• Translate complex analyses for executive audiences and develop visualizations to help people understand findings and insights.
• Design and consult on talent assessment methodologies, both internal and third party.
• Apply best practices for artificial intelligence and machine learning.
• Project manage key initiatives that drive efficiency and value; assist with change management efforts to scale HR analytics solutions across the enterprise.
• Assist in development, execution, and evaluation of client OKRs, human capital KPIs and other measurement strategies to enable business results.
• Partner and train clients and HR stakeholders on impactful use of data, data literacy techniques, and use of self-service to drive business outcomes.
• Advise on enterprise-level and business unit level analytics work with partners through the organization; contribute to enterprise data governance methods and priorities.

• Expertise in qualitative and quantitative research methodology, data management, data visualization and storytelling.
• Creative and strategic thinker - ability to assess needs, collaborate, and deliver data-driven, practical solutions that drive results.
• Strong decision-making skills; stellar interpersonal, influencing, relationship building, and collaboration skills.
• Proficiency in change management approaches (e.g., PROSCI, etc.).
• Advanced analytical and problem-solving skills - approaches problems with rigorous logic and a curious mind – looks beyond the obvious and searches for deeper answers.
• Proficiency in building talent assessment methodologies.
• Deep knowledge of pre-employment assessment methodologies and practices.
• Ability to communicate effectively with technical and non-technical audiences – tells stories with data that resonate with stakeholders and maximize impact; excellent written and verbal communication skills.
• Ability to manage multiple client groups simultaneously; strong project management background.
• Proficient in data querying languages (e.g., SQL), database management systems, and employee listening platforms (e.g., Perceptyx, Glint).
• Applied statistics or experimentation (A/B testing) and psychometric principles (e.g., regression analysis, factor analysis), as well as research design.
• Proficient in scripting languages (e.g., R or Python), and other advanced analytical tools (e.g., Sagemaker, Tableau, Power
  
  BI, Quicksight, Visier, Alteryx).
• Hands on experience with machine learning techniques and…