Sr Data Scientist- Analytics

The HR Data Science Consultant at Citizens Bank will Key Responsibilities

• 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, advanced analytics, 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., Sage Maker, Tableau, Power
  
  BI, Quick Sight, Visier, Alteryx).
• Hands‑on experience with machine learning techniques and exposure to LLM for text analysis and natural language processing applications.
• Highly proficient in Excel and PowerPoint.
• Highly–organized with strong attention to detail and documentation; results orientation.

• Ability to handle multiple projects while meeting deadlines and documenting progress towards those deadlines.
• Proficiency in agile and design‑thinking methods.
• Possesses a learning orientation, active exploratory mind, and interest to learn from others.
• Experience with AWS Cloud suite, Snowflake, Oracle HCM, Service Now.

• Deep expertise (PhD, Masters, or equivalent expertise) in a field that uses research to understand and influence human behavior (e.g., Industrial/Organizational Psychology, Organizational Behavior, Behavioral Economics, Social/Personality Psychology, etc.).
• 8+ years of client‑facing People Analytics, Workforce Strategy, Business Intelligence, or Human Capital Consulting experience, working in/with complex organizations, or combination of education and experience.
• Demonstrated experience leading large‑scale HR or analytics programs in a matrixed…