Citizens Logo

Citizens

Sr Data Scientist- People Analytics

Reposted 2 Hours Ago
In-Office or Remote
2 Locations
Senior level
In-Office or Remote
2 Locations
Senior level
The Sr Data Scientist will analyze workforce insights, apply data-driven methodologies, communicate findings with stakeholders, and lead HR analytics projects to enhance employee experience and organizational performance.
The summary above was generated by AI

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:

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, 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.

Critical Skills

  • 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, PowerBI, Quicksight, 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


Additional Knowledge & Skills

  • 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

Education and Experience

  • 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 environment
  • Experience with Bayesian estimation, machine learning, natural language processing, cloud-based computing, and/or Artificial Intelligence strongly preferred.

Hours & Work Schedule

  • Hours per Week: 40
  • Work Schedule: 8:30-5
  • Hybrid, 4 days on site from a Citizens corporate office, 1 day remote

    #LI-Citizens1

Top Skills

Alteryx
Aws Cloud
Oracle Hcm
Power BI
Python
Quicksight
R
Sagemaker
Service Now
Snowflake
SQL
Tableau
Visier

Similar Jobs at Citizens

An Hour Ago
In-Office or Remote
2 Locations
140K-180K Annually
Senior level
140K-180K Annually
Senior level
Digital Media • Fintech • Information Technology • Machine Learning • Financial Services • Cybersecurity • Automation
The Principal Data Analytics & Intelligence Specialist leads data management projects, develops strategies, ensures data quality, and collaborates with teams to derive insights for Private Banking.
Top Skills: Power BIPythonRSQLTableau
An Hour Ago
In-Office or Remote
2 Locations
Senior level
Senior level
Digital Media • Fintech • Information Technology • Machine Learning • Financial Services • Cybersecurity • Automation
Underwrite private and education refinance loans, ensuring accurate documentation and quality assurance while meeting productivity and credit standards.
Top Skills: Automated Underwriting SystemExcelMicrosoft Word
An Hour Ago
In-Office or Remote
2 Locations
123K-145K Annually
Senior level
123K-145K Annually
Senior level
Digital Media • Fintech • Information Technology • Machine Learning • Financial Services • Cybersecurity • Automation
This role drives strategic vision in product development, facilitates Agile teams, and ensures a customer-centric design for services through collaboration and automation.
Top Skills: Agile MethodologiesAIAutomationDesign ThinkingUser Interface Design

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account