Senior Data Scientist - People Analytics Hybrid role: 4 days on-site from a Citizens corporate office, 1 day remote. Work Location Options: - RI-Johnston-One Citizens Bank Way - MA-Westwood-200 Station Drive - OH-Columbus-4249 Easton Way - CT-Stamford-600 Washington Blvd. 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 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 - 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 - 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.) - 5 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, OR Masters Degree + 2 years’ experience - Demonstrated experience leading large-scale HR or analytics projects 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 - Work Location Options: - RI-Johnston-One Citizens Bank Way - MA-Westwood-200 Station Drive - OH-Columbus-4249 Easton Way - CT-Stamford-600 Washington Blvd. Pay Transparency The base salary range for this position is $114,000 - $150,000 per year, plus an opportunity to earn an annual discretionary bonus. Actual pay is based on various factors including but not limited to the work location, and relevant skills and experience. We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. Note, Citizens’ paid time off policy exceeds the mandatory, paid sick or paid time-away policy of every local and state jurisdiction in the United States. For an overview of our benefits, visit https://jobs.citizensbank.com/benefits. #LinkedIn-Citizens1 About Us Equal Employment Opportunity Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague’s or a dependent’s reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability. Equal Employment and Opportunity Employer Job Applicant Data Privacy Policy Background Check Any offer of employment is conditioned upon the candidate successfully passing a background check, which may include initial credit, motor vehicle record, public record, prior employment verification, and criminal background checks. Results of the background check are individually reviewed based upon legal requirements imposed by our regulators and with consideration of the nature and gravity of the background history and the job offered. Any offer of employment will include further information.

• Definir e liderar a estratégia de medição digital (web e app). • Projetar, implementar e auditar soluções de analítica (GA4, GTM, Firebase). • Definir KPIs, funnels e modelos de medição orientados a negocio. • Integrar dados desde múltiplas fontes (APIs, BigQuery, CRM, etc.). • Criar dashboards e reporting em ferramentas como Looker Studio ou Power BI. • Colaborar com equipes técnicos e de negocio. • Identificar melhorias em processos, automatização e qualidade de dados. • Actuar como ponto de referência técnico frente a cliente.

Role Description This role offers a unique opportunity to work at the intersection of data science, software engineering, and public impact by building an innovative proof-of-concept solution aimed at improving critical intake processes. You will leverage advanced machine learning and natural language processing techniques to design and validate a system that enhances decision-making while optimizing resource allocation. Collaborating closely with stakeholders and cross-functional teams, you will help translate complex requirements into actionable solutions. The position involves hands-on development, experimentation, and demonstration of a prototype application in a highly collaborative, Agile environment. Your work will directly contribute to improving outcomes through data-driven insights and technology innovation. This is an ideal opportunity for someone who thrives on solving complex problems with measurable real-world impact. - Design, develop, and implement machine learning models and NLP-driven solutions to improve intake processes and outcomes - Collaborate with stakeholders and technical teams to gather requirements, ensure transparency, and validate statistical soundness - Analyze current workflows, identify inefficiencies, and propose data-driven improvements to optimize resource allocation - Identify, evaluate, and integrate internal and external data sources into the solution architecture - Build and refine a proof-of-concept prototype application using technologies such as Python, Java, C++, SQL, and modern frameworks - Conduct testing, validation, and performance measurement of models and applications in both pilot and simulated environments - Present findings, demonstrate the prototype, and gather feedback through stakeholder workshops and live demonstrations - Ensure data security and compliance, especially when leveraging LLMs or sensitive data sources - Participate actively in Agile development processes to ensure timely and high-quality delivery Qualifications - Bachelor’s or Master’s degree in Computer Science, Engineering, Physics, or a related field - 5+ years of experience in data science, software development, or related roles - Proven expertise in building AI/ML solutions from the ground up, including NLP and LLM integration - Strong foundation in mathematics, including calculus, linear algebra, and statistics; advanced topics are a plus - Experience designing custom machine learning models and statistical methods without heavy reliance on pre-built libraries - Proficiency in programming languages such as Python, C++, Java, and familiarity with frameworks like React, Node.js, and Next.js - Solid experience with databases such as PostgreSQL, MySQL, or SQL Server, and cloud platforms like AWS - Demonstrated experience deploying analytic models in pilot or production environments - Strong understanding of model validation, evaluation metrics, and performance optimization - Excellent communication skills with the ability to engage both technical and non-technical stakeholders - Experience working in public sector or regulated environments is highly preferred Benefits - Competitive compensation package - Paid sick leave - Comprehensive health coverage including medical, dental, vision, and life insurance - 401(k) plan with employer matching - Health Savings Account (HSA) options - Short-term and long-term disability coverage - Inclusive and equal opportunity workplace supporting diversity and accessibility

Role Description We are seeking a Freelance Data Scientist with availability to handle multiple projects, who can lead complex data initiatives, design robust models, and influence product and business decisions through data. This position starts as a part-time position and has the potential to become a full-time employee depending on performance. Hourly salary will be determined based on experience and skill level. This role requires deep expertise in statistics, machine learning, and data modeling, along with the ability to mentor others, define best practices, and work closely with engineering, product, and leadership teams. Exposure to modern AI and LLM-based systems is a strong plus. Qualifications - Expert-level proficiency in Python (Pandas, NumPy, Scikit-learn) - Strong foundation in statistics, probability, and linear algebra - Extensive experience with machine learning techniques (regression, classification, clustering, time-series, anomaly detection) - Strong hands-on experience with SQL and relational databases - Experience working with large datasets and complex data pipelines - Deep understanding of model evaluation, bias/variance trade-offs, and performance monitoring - Proven experience taking models from development to production Requirements - Lead end-to-end data science projects from problem definition to production deployment - Design, build, and optimize advanced statistical and machine learning models - Analyze large-scale, structured and unstructured datasets to generate actionable insights - Define data science best practices, modeling standards, and evaluation frameworks - Design and analyze experiments (A/B tests, causal analysis, hypothesis testing) - Partner with product, engineering, and business stakeholders to influence strategy and roadmap - Review and improve existing models for accuracy, scalability, and robustness - Mentor junior data scientists and review analytical work - Clearly communicate complex findings to senior stakeholders and leadership - Ensure data quality, reproducibility, and documentation across projects Benefits - Hands-on experience with Large Language Models (LLMs) such as GPT, Claude, LLaMA, or similar - Experience integrating LLM APIs into production systems - Strong understanding of prompt engineering and output evaluation - Experience with embeddings, semantic search, and vector similarity techniques - Knowledge of Retrieval-Augmented Generation (RAG) architectures - Experience working with vector databases (Pinecone, FAISS, Weaviate, Milvus, etc.) - Awareness of AI risks such as hallucinations, bias, security, privacy, and cost optimization Education - Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field - Equivalent real-world experience is highly valued