Title: Senior Data Scientist, Responsible AI Location: Remote United States Type: Regular Job Description: Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them. Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself. ***Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time, including CPT/OPT.*** The Senior Data Scientist of Responsible AI serves as a senior individual contributor within Empower’s Responsible AI (RAI) team. This role embeds directly with multiple AI delivery teams as a matrixed partner, ensuring AI and GenAI systems are measurable, transparent, safe, and aligned with Responsible AI principles. The position focuses on evaluation methodology, model behavior analysis, and operationalizing Responsible AI practices in collaboration with engineering, QA, security, and governance partners. What you will do: - Lead evaluation and validation of AI and GenAI systems, including assessment of hallucination, fairness, robustness, explainability, and other model behavior risks. - Design and implement repeatable evaluation workflows, benchmark datasets, and structured model behavior tests. - Serve as the Responsible AI data science partner for assigned AI delivery teams, guiding the integration of RAI metrics, guardrails, and evaluation practices. - Translate research findings and experimental methods into scalable, platform-ready evaluation capabilities. - Collaborate with AI/ML engineers and QA analysts to align evaluation logic with testing pipelines and deployment workflows. - Support the creation of model cards, evaluation documentation, and transparency artifacts required for governance and review. - Provide Responsible AI consultation to product, engineering, risk, legal, and governance stakeholders. - Mentor junior and mid-level data scientists on evaluation design, experimental rigor, and Responsible AI practices. What you will bring: - Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field, or equivalent experience. - 6+ years of professional data science experience. - Demonstrated experience developing or evaluating AI/ML systems in production or pre-production environments. - Strong grounding in experimental design, statistical analysis, and model evaluation methodology. - Experience collaborating with engineering and product teams in an agile, iterative delivery environment. - Proficiency in Python and SQL for data analysis and evaluation workflows. Experience working with modern cloud platforms such as AWS. - Strong communication skills and ability to operate effectively in a matrixed team model. Technology Environment - Cloud platforms such as AWS, including managed data and ML services. - Data storage and retrieval technologies such as relational and NoSQL databases. - Data analysis and visualization tools such as Python libraries, QuickSight, Tableau, or Power BI. - Collaboration and delivery tools supporting agile development and cross-functional workflows. Security and Risk Awareness - Contribute to Responsible AI and security-by-design practices by ensuring evaluation methods consider safety, misuse, and model risk. - Partner with engineering, security, and governance teams to identify, document, and mitigate AI-related risks surfaced through evaluation activities. - Support evolving security and risk requirements as they relate to AI system behavior, testing, and governance reviews. What Will Set You Apart - Experience evaluating Generative AI or LLM-based systems. - Hands-on work with explainability, fairness analysis, hallucination detection, or robustness testing techniques. - Familiarity with Responsible AI principles, governance frameworks, or model documentation practices. - Experience translating research or experimental methods into repeatable, production-aligned workflows. This job description is not intended to be an exhaustive list of all duties, responsibilities and qualifications of the job. The employer has the right to revise this job description at any time. You will be evaluated in part based on your performance of the responsibilities and/or tasks listed in this job description. You may be required perform other duties that are not included on this job description. The job description is not a contract for employment, and either you or the employer may terminate employment at any time, for any reason. #PJT What we offer you We offer an array of diverse and inclusive benefits regardless of where you are in your career. We believe that providing our employees with the means to lead healthy balanced lives results in the best possible work performance. - Medical, dental, vision and life insurance - Retirement savings – 401(k) plan with generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contribution, and a broad investment lineup - Tuition reimbursement up to $5,250/year - Business-casual environment that includes the option to wear jeans - Generous paid time off upon hire – including a paid time off program plus ten paid company holidays and three floating holidays each calendar year - Paid volunteer time — 16 hours per calendar year - Leave of absence programs – including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA) - Business Resource Groups (BRGs) – BRGs facilitate inclusion and collaboration across our business internally and throughout the communities where we live, work and play. BRGs are open to all. Base Salary Range $105,700.00 - $149,275.00 The salary range above shows the typical minimum to maximum base salary range for this position in the location listed. Non-sales positions have the opportunity to participate in a bonus program. Sales positions are eligible for sales incentives, and in some instances a bonus plan, whereby total compensation may far exceed base salary depending on individual performance. Actual compensation offered may vary from posted hiring range based upon geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer. Equal opportunity employer • Drug-free workplace We are an equal opportunity employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to age (40 and over), race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law. ***For remote and hybrid positions you will be required to provide reliable high-speed internet with a wired connection as well as a place in your home to work with limited disruption. You must have reliable connectivity from an internet service provider that is fiber, cable or DSL internet. Other necessary computer equipment, will be provided. You may be required to work in the office if you do not have an adequate home work environment and the required internet connection.***

• Establish and lead the company's first centralized analytics function. • Define the long-term analytics vision, roadmap, and operating model. • Establish data governance standards, metric definitions, and reporting frameworks. • Partner with executive leadership to enable data-driven strategic decisions. • Direct and mentor embedded analysts across multiple business functions. • Design and implement the end-to-end analytics technology stack. • Select and deploy data warehousing, transformation, visualization, and reporting solutions. • Build scalable analytics infrastructure to support multiple financial products. • Develop a canonical data model across the organization. • Ensure data quality, consistency, accessibility, and governance. • Design and implement multi-touch attribution across various marketing channels. • Build unified customer journey tracking. • Create real-time executive dashboards and KPI reporting. • Establish a company-wide hypothesis testing and experimentation framework. • Collaborate closely with Marketing, Product, Technology, Operations, and Commercial teams. • Lead, coach, and develop embedded analysts.

Role Description We’re seeking a Data Scientist to design and deliver backend services that bring Generative AI, RAG, and intelligent agents into real-world products. You’ll build scalable systems that turn data into insights and power automation—driving smarter decisions and better experiences for our customers. - Design and scale backend services that integrate Generative AI and Retrieval-Augmented Generation (RAG) for production use. - Develop AI agents to automate workflows and improve product intelligence. - Build pipelines that transform structured and unstructured data into actionable insights. - Optimize retrieval systems for speed, scalability, and user relevance. - Collaborate with product and engineering teams to deliver AI features that directly improve customer experience. Qualifications - 4+ years of hands-on experience building and deploying AI/ML solutions. - Proficiency in Python and modern ML frameworks (e.g., TensorFlow, PyTorch). - Experience with Generative AI, RAG, and orchestration frameworks (e.g., LangChain). - Familiarity with graph databases, NLP pipelines, and vector search. - Proven ability to design scalable systems and optimize for performance. - Master’s degree in Computer Science, AI, or related field (or equivalent practical experience). Requirements - Open-source contributions, published research, or advanced AI applications. - Knowledge of ethical and responsible AI development practices. - Experience scaling AI systems in production environments. - Mandarin speaking a plus. Company Description Beyondsoft is a leading mid-sized business IT and consulting company that combines modern technologies and proven methodologies to tailor solutions that move your business forward. Our global head office is based in Singapore, and our team is made up of a diversely talented team of experts who thrive on innovation and pushing the bounds of technology to solve our customers’ most pressing challenges. - Global presence spanning four continents (North America, South America, Europe, and Asia). - Global network of talent and customer-centric engagement model enables us to provide top-quality services on an unprecedented scale. - We believe that collaboration, transparency, and accountability are the values that guide our business, our delivery, and our brand. - Strive to foster a workplace where people have the respect, support, and voice they deserve.

Title: Principal / Senior Principal Scientist - Spectroscopy Location: Piscataway, NJ, US Department: Research & Development Job Description: Travel Required?: Travel - up to 10% of time Hybrid No Relocation Assistance Offered Job Number #173393 - Piscataway, New Jersey, United States Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. As a Principal Scientist you will serve as a central technical resource supporting the entire global Colgate-Palmolive portfolio by developing and validating state-of-the-art analytical platforms to characterize complex product matrices. Operating within the global R&D organization, you will act as the technical arbiter of "Truth," ensuring that every chemical claim made by Marketing is backed by statistically rigorous, peer-reviewed-quality data. This role offers an exciting opportunity to spearhead Lab 4.0 digital transformations, run advanced competitive teardowns, and defend the company's intellectual property. Your primary objective will be to provide flawless analytical characterization that guarantees formulation parity, regulatory compliance, and consumer safety across all product categories. Responsibilities - Advanced Method Development: Designs and validates novel analytical protocols for active and critical inactive ingredients, stabilizers, and sensory molecules using high-resolution LC/GC MS and NMR technologies. - Crisis Chemistry & Forensic Analysis: Leads proactive monitoring and "Rapid Response" forensics for trace contaminants, conducting root-cause analysis on stability failures or manufacturing deviations to ensure safety amid supply chain shifts. - Deformulation & Competitive Intelligence: Conducts competitive product teardowns to break down rival formulations to their base molecules, utilizing non-targeted analysis (NTA) workflows to structurally identify unknown components, and evaluates optimized ingredients from new suppliers to ensure absolute formulation parity. - Claim Substantiation & Legal Defense: Partners with Marketing and Legal teams to transform analytical results into "Visual Science" for claim validation, ensuring all methods meet AOAC, USP, or ISO standards to remain legally unassailable. - Lab 4.0 & Digital Transformation: Evaluates high-throughput tools, oversees the implementation of MS Imaging platforms, and collaborates with Digital R&D to build automated data processing pipelines, feeding mass spec chemometric and big data into predictive Machine Learning models. - Sustainable Packaging Interface: Develops standardized methodologies including ultra-trace extractables and leachables (E&L) screening to investigate chemical interactions between formulas and new sustainable or recycled packaging materials to ensure zero migration of impurities. Required Qualifications - PhD in Analytical, Organic, or Medicinal Chemistry - 10 years of advanced laboratory experience. - Expert-level knowledge of High-Resolution LC-MS and GC-MS for content quantification and structure elucidation. - Technical proficiency in spectroscopic techniques including FTIR, Raman, and NMR as supporting tools for understanding molecular interactions within a formula. - Proven experience working within a GxP (GLP/GMP) regulated environment with a strong understanding of data "Chain of Custody" protocols. Preferred Qualifications - Specialized experience in Microbiome Analytics, including metabolomics or analyzing bacterial metabolites in complex biological samples. - Demonstrated background in "Green Chemistry" analytics, such as assessing the biodegradability of surfactants or the purity of post-consumer recycled packaging. - Strong collaborative capacity to translate complex analytical big data into actionable business strategies for cross-functional stakeholders. - Proven ability to support IP activities and patent filings by providing detailed molecular characterization data for new entities. Compensation and Benefits Salary Range $124,000.00 - $180,000.00 USD Pay is determined based on experience, qualifications, and location. Salaried employees may also be eligible for discretionary bonuses, profit-sharing, and long-term incentives for Executive-level roles. Benefits: Salaried employees enjoy a comprehensive benefits package, including medical, dental, vision, basic life insurance, paid parental leave, disability coverage, and participation in the 401(k) retirement plan with company matching contributions subject to eligibility requirements. Additional benefits include a minimum of 15 vacation/PTO days (hourly employees receive a minimum of 120 hours) and 13 paid holidays (vacation days are prorated based on the employee's hire date within the calendar year). Paid sick leave is adjusted based on role and location in accordance with local laws. Detailed information regarding paid sick leave entitlements will be provided to employees upon hiring and may be subject to adjustments based on changes in legislation or company policies. Our Commitment to Inclusion Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation. For additional Colgate terms and conditions, please click here. #LI-Hybrid