About the Team: LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (www.relx.com), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today’s top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (https://stories.relx.com/responsible-ai-principles/index.html). About the Role: Are you looking to develop your Data Scientist career? Would you enjoy training more junior team members? We are seeking a Senior Data Scientist II to help lead the design and validation of Agentic AI-driven product capabilities within the legal domain. This role focuses on defining what to build and why—leveraging machine learning, NLP, and large language models (LLMs) to solve complex legal workflows. You will help drive experimentation, modeling, and evaluation, partnering closely with engineers to translate validated approaches into scalable, customer-facing solutions. Responsibilities: - Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies). - Define agentic workflows and reasoning strategies for multi-step legal tasks. - Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality). - Analyze large-scale legal datasets to extract insights and improve model performance. - Establish best practices for model evaluation, validation, and benchmarking. - Translate experimental results into clear product recommendations and business impact. - Collaborate with product, legal experts, and engineers to align solutions with user needs. - Mentor team members and provide technical leadership in data science and AI. Requirements: - Education: Master’s degree or above in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). - Strong experience in machine learning, NLP, and LLM-based modeling. - Strong experience designing and running experiments, including model evaluation and iteration. - Experience with generative AI techniques (e.g., prompt engineering, RAG). - Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases. - Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases. - Proficiency in Python and data analysis tools. - Strong foundation in statistics, modeling, and large-scale text processing. #AIFluent U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.

About Spotfire Spotfire is a business unit of Cloud Software Group, one of the largest enterprise software companies in the world. Spotfire combines visualizations and advanced analytics to allow experts in their field to find industry-specific solutions the human mind or computers can’t solve alone. Our more than 10,000 customers include: - Majority of the top 10 Energy companies in the world - Majority of the top 10 Life Sciences companies in the world - 7 of the world’s top 10 Manufacturing companies - Several other major companies in banking, retail, and airlines We are looking for people with a passion to make a big difference by doing the job they love – dynamic individuals willing to take the risks necessary to make big ideas come to life and who are comfortable collaborating in our creative, innovation-driven environment. Overview Our global Customer Success team is a central part of the company strategy. The team focuses on customers, innovation, and the community of scientists, engineers, and data scientists. The team is responsible for guiding customers to successfully adopt and maximize value from their investment in Spotfire. Operating across several sectors, our Customer Success Data Scientists have helped improve the drilling operations of several energy companies, increase yield at some of the biggest semiconductor companies and ensured on-time deliveries of well known global logistics companies. We are seeking a Principal Customer Success Data Scientist to join our team in the North America region. Texas in the United States is preferred, and we will consider other areas in the United States except New York and California. This role is ideal for a candidate with proven expertise in Manufacturing, Energy, or Life Sciences industry and a strong passion for Visual Data Science. In this role, you will be the driving force behind long-term customer success for a portfolio of clients, responsible for achieving high adoption, retention, and satisfaction. You will serve as a trusted advisor to all customer stakeholders and act as the key liaison between the customer and internal Spotfire teams. The successful candidate will leverage their hands-on prowess and thought leadership to significantly grow our customers' analytical capabilities using Spotfire. A key part of the role involves developing analytical deliverables, employing methods from exploratory analytics to machine learning, statistical modeling, and AI. Joining a highly collaborative team, you will deliver outcomes that enhance both product and account health. Furthermore, you will have exciting opportunities to represent Spotfire at industry events and contribute to our active customer and partner community. Responsibilities - Technical Strategy - Use Spotfire and data science skills to collaborate with customers, translating their business objectives into actionable success plans. Develop a deep understanding of industry analytics use cases. Customer Success plans include onboarding, adoption, monitoring support, managing upgrades, enabling new features, and establishing a center of excellence. - Trusted Advisor - Aware of industry context and understanding customer needs through regular customer health assessments you can build consultative relationships and act as trusted advisor helping navigate challenges and building long-term customer advocacy. - Innovation - Perform and guide R&D topics in the field of applied machine learning and AI. Translate customer business goals into technical objectives and help create custom solutions for industry use cases, providing guidance, and building prototypes. Projects include Large Language Models, digital twin, anomaly detection in time series, or mathematical modeling of manufacturing processes. - Cross-functional Collaboration - Collaborate with sales, support, product management, and engineering to align strategy, improve customer outcomes, resolve escalations, find sales opportunities, and provide product roadmap input. This involves gathering detailed information, analysis, and investigation to address numerous, often undefined, problems and requests. - Education and Community - Actively engage with your customers in the Spotfire community to drive adoption and enablement. Contribute relevant industry and data science content. Represent the team as a speaker or instructor in industry events and external conferences. - Personal Development - Continue to develop expertise and monitor trends in industry analytics and visual data science tools and techniques. - Organizational Impact - works to achieve operational targets with major impact on the departmental results and work is performed with limited oversight. - Leadership and Talent Management - Some level of coaching and training of other employees within the job area will be involved. Qualifications - 10+ years of data science experience using software environments and programming languages e.g. Spotfire, Tableau, Qlikview, SPSS, KNIME, Dataiku, Azure, AWS, Databricks, Snowflake, and for program languages Python, R. Experience with other software components for data preparation and integration e.g. Data Virtualization is a plus. Knowledge of SQL, .Net, Java, IronPython, Javascript, C++ and knowledge of Generative AI is a plus. - 10+ years of experience in advanced data analytics and delivery of demonstrations, projects, engagements or deployed software applications. Problem-solver with experience applying advanced analytics such as machine learning and optimization techniques to large, complex and disparate data sources. - 10+ years of Industry experience in applying analytics to the sector specific data problems in key Industry such as Manufacturing, Energy, Transportation & Logistics, Financial Services, Telecommunications and Life Sciences. Able to formulate a real-world problem into a mathematical equivalent, propose various solutions, compare and contrast them, deploy the solutions, validate the results and present the results to stakeholders. - Excellent communication and relationship-building skills are essential, including the ability to influence and cultivate long-term relationships with internal and external stakeholders, such as customers' senior technical personnel. Must provide compelling software demonstrations and apply domain knowledge to analytical applications, communicating complex technical concepts to non-technical audiences using storytelling. - Collaboration skills - strong ability to work effectively in an internal and customer team environment and to manage multiple projects to a good final outcome. - Master’s or higher degree in STEM (Computer Science, Statistics, Data Science, Engineering, Science, or related analytical field of study) with graduate classes in statistics and data mining. - Language Skills: Proficiency in English is required. As this role involves interaction with customers and partners in Latin America as well, fluency in either Spanish or Portuguese is a plus. Please note you must have full working rights for the United States. If on a work permit or visa, please make sure the details along with expiry date are included on your application. About Us: Cloud Software Group is one of the world’s largest cloud solution providers, serving more than 100 million users around the globe. When you join Cloud Software Group, you are making a difference for real people, each of whom count on our suite of cloud-based products to get work done — from anywhere. Members of our team will tell you that we value passion for technology and the courage to take risks. Everyone is empowered to learn, dream, and build the future of work. We are on the brink of another Cambrian leap -- a moment of immense evolution and growth. And we need your expertise and experience to do it. Now is the perfect time to move your skills to the cloud. Cloud Software Group is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination. All qualified applicants will receive consideration for employment without regard to age, race, color, creed, sex or gender, sexual orientation, gender identity, gender expression, ethnicity, national origin, ancestry, citizenship, religion, genetic carrier status, disability, pregnancy, childbirth or related medical conditions (including lactation status), marital status, military service, protected veteran status, political activity or affiliation, taking or requesting statutorily protected leave and other protected classifications. If you need a reasonable accommodation due to a disability during any part of the application process, please contact us via the Bridge portal for assistance.

About BlueLabs BlueLabs is a leading provider of analytics services and technology dedicated to helping our partners do the most good with their data. Our team of analysts, scientists, engineers, and strategists hail from diverse backgrounds yet share a passion for using data to solve the world’s greatest social and analytical challenges. Since our inception we’ve worked with more than 400 organizations ranging from advocacy groups, unions, political campaigns, and international groups. In addition, we service an ever-expanding portfolio of commercial clients in the automotive, travel, CPG, entertainment, healthcare, media, and telecom industries. Along the way, we’ve developed some of the most innovative tools available in analytics, media optimization, reporting, and influencer outreach. About the Team: The BlueLabs Data Science Team develops deep expertise and uses data to inform strategic advice to our clients. Our polling work designs, implements, and fields tools that power our analysis and messaging. We take a deep dive into research that looks at what motivates people to vote, buy a product, hold an opinion, and whether campaigns are successful. Our statistical research identifies areas where we can better assess the impact of various factors in the campaign and polling areas. Our fast-paced, impact-driven team conducts innovative analysis to support our clients’ work. We bring definition to challenging problems, creatively identify data sources, then design analytics that accurately measure impact and move the needle every day. We work in changing, ambiguous environments, so we embrace nuance, inclusivity, and complexity to deliver programs that work for the diverse groups of individuals who rely on us. About the Role: Data Scientists use a combination of statistics, programming, and domain knowledge to solve problems, ranging from customized solutions for specific clients to creating the methodological backbone for our general purpose products. They have strong technical skills and are also creative thinkers who are always looking to innovate and deliver value to our clients. They aren’t afraid of messy data, and are comfortable working in a fast paced, production-oriented environment. Our team members receive strong mentorship and are given a chance to complete projects independently. What You’ll Do: - Execute on the design, implementation, and delivery of analytics products and services - Build predictive models, tools, and data visualizations - Ensure the data and modeling results meet requirements for quality and work with the team to clean, transform, aggregate, and report on data as needed - Collaborate with engineers, data scientists, program managers and external stakeholders to troubleshoot problems and proactively create solutions - Assist on research development projects and data science project plans for clients and internal initiatives - Strive to support team excellence by documenting processes and evangelizing new approaches - Work as part of a team to deliver accurate products on short deadlines Who You Are: - You have a proven track record using data-driven solutions to improve social outcomes - and bring a multidisciplinary approach to doing so. - You have experience that developed a variety of skills: whether thinking strategically about how to develop an enduring process, digging deep into a complex data analysis, or putting yourself in the shoes of an end-user to answer a question they didn’t know they had - you’re comfortable thinking from a number of different perspectives - You are able to anticipate questions from your stakeholders while remaining objective in how you approach their unique challenges. You are experienced deriving value from imperfect data, but also know when to push the emergency stop button. What We Are Seeking: - 2+ years working in a quantitative production environment or a postgraduate degree in a quantitative field - Experience in and ability to apply your knowledge of foundations of statistics and modeling (distributions, parameter estimation, confidence intervals and tests, etc.) both in your own work, and in the ability to guide others - A strong understanding of a statistical programming language such as R or Python - Expertise building predictive models using regression and machine learning techniques - Ability to manipulate data with SQL - Proven experience creating analytics output within a production-oriented team - Ability to effectively communicate and present technical concepts to a non-technical audience, both in writing and verbally - Knowledge of experimental design and causal inference - Experience creating and delivering informative and engaging data visualizations using industry leading tools What We Offer: BlueLabs offers a friendly work environment and competitive benefits package including: - Premier health insurance plan - 401K matching - Unlimited vacation - Paid sick, personal, and volunteer leave - 15 weeks paid parental leave - Professional development & learning stipend - Bring Your Own Device (BYOD) stipend - Employee Assistance Program (EAP) - Flexible working hours - Telecommuting options - Pre-tax transportation options - And more! The salary for this position is $85,000 annually. While we prefer this position to be in the Washington, DC area, we are open to considering candidates from within the U.S. The salary range for candidates who meet the minimum posted qualifications reflects the Company’s good faith understanding and belief as to the wage range, and is accurate as of the date of this job posting. At BlueLabs, we celebrate, support and thrive on differences. Not only do they benefit our services, products, and community, but most importantly, they are to the benefit of our team. Qualified people of all races, ethnicities, ages, sex, genders, sexual orientations, national origins, gender identities, marital status, religions, veterans statuses, disabilities and any other protected classes are strongly encouraged to apply. BlueLabs endeavors to make reasonable accommodations for qualified applicants with a disability unless the accommodation would impose an undue hardship on the operation of our business. If an applicant believes they require such assistance to complete the application or to participate in an interview, or has any questions or concerns, they should contact the Director, People Operations. BlueLabs participates in E-verify. EEO is the Law. Collection of Personal Information Notice: As you are likely aware, by submitting your job application, you are submitting personal information to our company. We collect various categories of personal information, including identifiers, protected classifications, professional or employment related information and sensitive personal information. We may retain and use this information for up to three years, in order to come to a decision on whether or not you are a good fit for our company. We may also retain or use some of this information to comply with any requirements under law, or for purposes of defending ourselves in any litigation. We do not use this information for any other purpose, or share it with third parties, unless you become an employee. To learn more, or to see our full Notice to Job Applicants, please click here.

SUMMARY: Under limited supervision, the Data Scientist works closely with business stakeholders to understand how data can be used to achieve their goals. Designs data modeling processes, creates algorithms and predictive models and helps analyze the data and shares insights. Critical thinking and problem-solving skills are essential for interpreting data. Must have a passion for machine-learning and research. This position will be tasked with helping the company analyze trends to make better data-based decisions. JOB DUTIES: • Analyzes large amounts of information to discover trends and patterns. • Designs machine learning models for predictive analytics. • Presents information using data visualization techniques. • Undertakes preprocessing of structured and unstructured data. • Identifies valuable data sources and automates collection processes. • Performs other duties as assigned. EDUCATION & EXPERIENCE: Typically requires a bachelor's degree in Mathematics, Computer Science, Physics, Economics, Engineering, Statistics, Opersations Research, Quantitative Social Science or a related area and at least seven (7) years of related experience or equivalent combination. KNOWLEDGE, SKILLS, ABILITIES: • Basic knowledge of software development principles and architecture. • Excellent verbal and written communication skills. • Ability to break down and understand complex business problems, define a solution and implement it using advanced quantitative methods. • Must be a team player with excellent analytical and problem solving skills. COMPANY INFORMATION: Motion offers an excellent benefits package which includes options for healthcare coverage, 401(k), tuition reimbursement, vacation, sick, and holiday pay. Not the right fit? Let us know you're interested in a future opportunity by joining our Talent Community on jobs.genpt.com or create an account to set up email alerts as new job postings become available that meet your interest! GPC conducts its business without regard to sex, race, creed, color, religion, marital status, national origin, citizenship status, age, pregnancy, sexual orientation, gender identity or expression, genetic information, disability, military status, status as a veteran, or any other protected characteristic. GPC's policy is to recruit, hire, train, promote, assign, transfer and terminate employees based on their own ability, achievement, experience and conduct and other legitimate business reasons.