Data scientist jobs in Phillipsburg, NJ

This is a direct hire full-time position, with a hybrid on-site 2 days a week format. YOU MUST BE A US CITIZEN OR GREEN CARD, NO OTHER STATUS TO WORK IN THE US WILL BE PERMITTED YOU MUST LIVE LOCAL TO THE AREA AND BE ABLE TO DRIVE ONSITE A MIN TWO DAYS A WEEK THE TECH STACK WILL BE: 7 years demonstrated server-side development proficiency 5 years demonstrated server-side development proficiency Programming Languages: Python (NumPy, Pandas, Oracle PL/SQL). Other non-interpreted languages like Java, C++, Rust, etc. are a plus. Must be proficient in the intermediate-advanced level of the language (concurrency, memory management, etc.) Design patterns: typical GOF patterns (Factory, Facade, Singleton, etc.) Data structures: maps, lists, arrays, etc SCM: solid Git proficiency, MS Azure DevOps (CI/CD)

Hybrid (Bethlehem, PA) Contract Applicants must be authorized to work in the U.S. without sponsorship We're looking for a Senior Data Engineer to join our growing technology team and help shape the future of our enterprise data landscape. This is a hands-on, high-impact opportunity to make recommendations, build and evolve a modern data platform using Snowflake and cloud-based EDW Solutions. How You'll Impact Results: Drive the evolution and architecture of scalable, secure, cloud-native data platforms Design, build, and maintain data models, pipelines, and integration patterns across the data lake, data warehouse, and consumption layers Lead deployment of long-term data products and infuse data and analytics capabilities across business and IT Optimize data pipelines and warehouse performance for accuracy, accessibility, and speed Collaborate cross-functionally to deliver data, experimentation, and analytics solutions Implement systems to monitor data quality and ensure reliability and availability of Production data for downstream users, leadership teams, and business processes Recommend and implement best practices for query performance, storage, and resource efficiency Test and clearly document data assets, pipelines, and architecture to support usability and scale Engage across project phases and serve as a key contributor in strategic data architecture initiatives Your Qualifications That Will Ensure Success: Required: 10+ years of experience in Information Technology Data Engineering: professional database and data warehouse development Advanced proficiency in SQL, data modeling, and performance tuning Experience in system configuration, security administration, and performance optimization Deep experience required with Snowflake and modern cloud data platforms (AWS, Azure, or GCP) Familiarity with developing cloud data applications (AWS, Azure, Google Cloud) and/or standard CI/CD tools like Azure DevOps or GitHub Strong analytical, problem-solving, and documentation skills Experience in system configuration, security administration, and performance optimization Proficiency with Microsoft Excel and common data analysis tools Ability to troubleshoot technical issues and provide system support to non-technical users. Preferred: Experience integrating SAP ECC data into cloud-native platforms Exposure to AI/ML, API development, or Boomi Atmosphere Prior experience in consumer packaged goods (CPG), Food / Beverage industry, or manufacturing

Distinguished Data Engineers are individual contributors who strive to be diverse in thought so we visualize the problem space. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. Distinguished Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next generation technology solutions. Horzianal, Bank data organization to accelerate data modernization across the bank by defining, building, and operating on a unified, resilient, and compliant Enterprise Data Platforms. Enable bank domains to produce and leverage modern data for a modern bank. The position focused on setting the technical vision, prototyping and driving the most complex data domain data architecture for the banking domains. In addition, partner closely with enterprise teams to develop highly resilient data platforms. Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices Visionaries, collaborating on Capital One's toughest issues, to deliver on business needs that directly impact the lives of our customers and associates Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities Responsibilities: Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in Strike the right balance between lending expertise and providing an inclusive environment where others' ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One's Tech talent Basic Qualifications: Bachelor's Degree At least 7 years of experience in data engineering At least 3 years of experience in data architecture At least 2 years of experience building applications in AWS Preferred Qualifications: Masters' Degree 9+ years of experience in data engineering 3+ years of data modeling experience 2+ years of experience with ontology standards for defining a domain 2+ years of experience using Python, SQL or Scala 1+ year of experience deploying machine learning models 3+ years of experience implementing big data processing solutions on AWS Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $263,900 - $301,200 for Distinguished Data Engineer Philadelphia, PA: $239,900 - $273,800 for Distinguished Data Engineer Richmond, VA: $239,900 - $273,800 for Distinguished Data Engineer Wilmington, DE: $239,900 - $273,800 for Distinguished Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Adelphi Research | Advanced Market Research Group (AMG) About the Role Adelphi Research is seeking a Research Scientist/Data Scientist to join our Advanced Market Research Group. You'll work directly with the Senior Statistician to execute pharmaceutical market research analytics while also contributing to our growing portfolio of AI-powered research tools. You'll spend significant time doing traditional statistical analysis for client projects (segmentation, conjoint analysis, message testing), but you'll also be a key contributor to building and testing new AI-enhanced methodologies and applications. If you're a strong quantitative researcher who's genuinely curious about AI's potential in market research-and has done some hands-on experimentation-this role offers a unique opportunity to shape the future of pharmaceutical insights. What You'll Do Client Analytics & Research Execution Execute advanced statistical analyses for pharmaceutical market research studies: Segmentation analysis (cluster analysis, latent class) Conjoint analysis (discrete choice, MaxDiff) Message testing and positioning research Key driver analysis and predictive modeling Perform data cleaning, weighting, and quality control for survey data Create professional client deliverables: Simulators in excel and R shiny, PowerPoint, Excel outputs, crosstabs, etc. Support project teams with statistical methodology recommendations Collaborate on study design, questionnaire development, and analytical plans AI Tool Development & Innovation Contribute to building and testing R Shiny applications that enhance our research capabilities Help develop AI-powered qualitative coding tools for open-ended survey responses Test and refine chatbot interfaces that help clients interact with their data Support validation studies for synthetic respondent methodologies (comparing AI-generated data to real respondent data) Integrate LLM APIs into existing workflows where appropriate Experiment with AI applications for research acceleration and automation Document findings, create user guides, and support internal adoption Required Qualifications Core Technical Skills Strong proficiency in R programming, including tidyverse ecosystem (dplyr, ggplot2, tidyr, purr, ellmer, vitals, ragnar) OR strong Python skills (pandas, scikit-learn) with willingness to become proficient in R R Shiny development experience Statistical methods: Applied experience with regression, clustering, factor analysis, conjoint/MaxDiff, or similar techniques Data manipulation: Comfortable working with complex survey data, messy datasets, weighting schemes Some programming experience beyond scripting: You've built something-a dashboard, an analysis pipeline, a tool-not just run one-off analyses AI Experience Evidence of hands-on experimentation with AI tools beyond consumer use. Built a small project using an LLM API (even if just a personal experiment) Created a prototype chatbot or AI-enhanced tool Worked through tutorials and actually implemented something with OpenAI/Anthropic/Google APIs Experimented with prompt engineering in a programmatic way Contributed to an AI-related project at work or school Foundation & Experience Master's degree in Statistics, Data Science, Biostatistics, Economics, or related quantitative field (PhD welcomed but not required) 2-4 years of experience in applied statistics, data science, or market research analytics Experience with survey research methodologies preferred Strong problem-solving skills and attention to detail Excellent communication skills-ability to explain technical concepts to non-technical audiences Comfort juggling multiple projects and shifting priorities Nice-to-Haves (Valued but Not Required) Domain & Methodology Experience in pharmaceutical or healthcare market research Understanding of survey design, sampling, and weighting approaches Familiarity with FDA regulations or pharmaceutical compliance considerations Background in segmentation, conjoint analysis, or MaxDiff studies Technical & Tools R package development or contribution to open-source projects Familiarity with Azure, Google Cloud, or AWS Python + R bilingual coding Exposure to Bayesian methods or probabilistic models Any experience with vector databases, RAG systems, or advanced AI architectures (rare but great if you have it) Experience translating SPSS workflows to R Learning & Development Work directly with Senior Statisticians leading our AI initiatives Exposure to diverse therapeutic areas across major pharmaceutical clients Hands-on experience building production AI tools in a regulated industry Professional development in both traditional research methods and emerging AI capabilities Our Working Environment You'll work directly with the Senior Statisticians and collaborate with: Project teams serving major pharmaceutical clients Data science colleagues across AMG Qualitative researchers and strategic consultants We value intellectual curiosity, pragmatic problem-solving, and a bias toward action. This is a role for someone who's equally comfortable running a factor analysis and experimenting with an LLM API-who sees the value in both rigorous statistical methods and emerging AI capabilities. Tech Stack: R (tidyverse, Shiny, tidymodels), Azure OpenAI APIs, Google Gemini APIs, Posit Connect. Open to strong Python developers willing to become R-proficient. To Apply: Please include any code samples, GitHub links, or portfolio pieces that demonstrate your analytical work. If you've built anything with AI/LLMs (even personal projects or experiments), we'd love to see it. The range below represents the low and high end of the base salary someone in this role may earn as an employee of an Omnicom Health Group company in the United States. Salaries will vary based on various factors including but not limited to professional and academic experience, training, associated responsibilities, and other business and organizational needs. The range listed is just one component of our total compensation package for employees. Salary decisions are dependent on the circumstances of each hire. $90,000 - $110,000 Omnicom Health is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we're focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us-we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice .

Adelphi Research | Advanced Market Research Group (AMG) About the Role Adelphi Research is seeking a Research Scientist/Data Scientist to join our Advanced Market Research Group. You'll work directly with the Senior Statistician to execute pharmaceutical market research analytics while also contributing to our growing portfolio of AI-powered research tools. You'll spend significant time doing traditional statistical analysis for client projects (segmentation, conjoint analysis, message testing), but you'll also be a key contributor to building and testing new AI-enhanced methodologies and applications. If you're a strong quantitative researcher who's genuinely curious about AI's potential in market research-and has done some hands-on experimentation-this role offers a unique opportunity to shape the future of pharmaceutical insights. What You'll Do Client Analytics & Research Execution Execute advanced statistical analyses for pharmaceutical market research studies: Segmentation analysis (cluster analysis, latent class) Conjoint analysis (discrete choice, MaxDiff) Message testing and positioning research Key driver analysis and predictive modeling Perform data cleaning, weighting, and quality control for survey data Create professional client deliverables: Simulators in excel and R shiny, PowerPoint, Excel outputs, crosstabs, etc. Support project teams with statistical methodology recommendations Collaborate on study design, questionnaire development, and analytical plans AI Tool Development & Innovation Contribute to building and testing R Shiny applications that enhance our research capabilities Help develop AI-powered qualitative coding tools for open-ended survey responses Test and refine chatbot interfaces that help clients interact with their data Support validation studies for synthetic respondent methodologies (comparing AI-generated data to real respondent data) Integrate LLM APIs into existing workflows where appropriate Experiment with AI applications for research acceleration and automation Document findings, create user guides, and support internal adoption Required Qualifications Core Technical Skills Strong proficiency in R programming, including tidyverse ecosystem (dplyr, ggplot2, tidyr, purr, ellmer, vitals, ragnar) OR strong Python skills (pandas, scikit-learn) with willingness to become proficient in R R Shiny development experience Statistical methods: Applied experience with regression, clustering, factor analysis, conjoint/MaxDiff, or similar techniques Data manipulation: Comfortable working with complex survey data, messy datasets, weighting schemes Some programming experience beyond scripting: You've built something-a dashboard, an analysis pipeline, a tool-not just run one-off analyses AI Experience Evidence of hands-on experimentation with AI tools beyond consumer use. Built a small project using an LLM API (even if just a personal experiment) Created a prototype chatbot or AI-enhanced tool Worked through tutorials and actually implemented something with OpenAI/Anthropic/Google APIs Experimented with prompt engineering in a programmatic way Contributed to an AI-related project at work or school Foundation & Experience Master's degree in Statistics, Data Science, Biostatistics, Economics, or related quantitative field (PhD welcomed but not required) 2-4 years of experience in applied statistics, data science, or market research analytics Experience with survey research methodologies preferred Strong problem-solving skills and attention to detail Excellent communication skills-ability to explain technical concepts to non-technical audiences Comfort juggling multiple projects and shifting priorities Nice-to-Haves (Valued but Not Required) Domain & Methodology Experience in pharmaceutical or healthcare market research Understanding of survey design, sampling, and weighting approaches Familiarity with FDA regulations or pharmaceutical compliance considerations Background in segmentation, conjoint analysis, or MaxDiff studies Technical & Tools R package development or contribution to open-source projects Familiarity with Azure, Google Cloud, or AWS Python + R bilingual coding Exposure to Bayesian methods or probabilistic models Any experience with vector databases, RAG systems, or advanced AI architectures (rare but great if you have it) Experience translating SPSS workflows to R Learning & Development Work directly with Senior Statisticians leading our AI initiatives Exposure to diverse therapeutic areas across major pharmaceutical clients Hands-on experience building production AI tools in a regulated industry Professional development in both traditional research methods and emerging AI capabilities Our Working Environment You'll work directly with the Senior Statisticians and collaborate with: Project teams serving major pharmaceutical clients Data science colleagues across AMG Qualitative researchers and strategic consultants We value intellectual curiosity, pragmatic problem-solving, and a bias toward action. This is a role for someone who's equally comfortable running a factor analysis and experimenting with an LLM API-who sees the value in both rigorous statistical methods and emerging AI capabilities. Tech Stack: R (tidyverse, Shiny, tidymodels), Azure OpenAI APIs, Google Gemini APIs, Posit Connect. Open to strong Python developers willing to become R-proficient. To Apply: Please include any code samples, GitHub links, or portfolio pieces that demonstrate your analytical work. If you've built anything with AI/LLMs (even personal projects or experiments), we'd love to see it. The range below represents the low and high end of the base salary someone in this role may earn as an employee of an Omnicom Health Group company in the United States. Salaries will vary based on various factors including but not limited to professional and academic experience, training, associated responsibilities, and other business and organizational needs. The range listed is just one component of our total compensation package for employees. Salary decisions are dependent on the circumstances of each hire. $90,000 - $110,000 Omnicom Health is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we're focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us-we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice .

Guardian is on a transformation journey to evolve into a modern, forward-thinking insurance company committed to enhancing the wellbeing of its customers and their families. This role presents a distinctive opportunity to drive real-world impact by applying cutting-edge AI to transform how Guardian does business. Guardian's Data & AI team spearheads a culture of intelligence and automation across the enterprise, creating business value from advanced data and AI solutions. Our team includes data scientists, engineers, analysts, and product leaders working together to deliver AI-driven products that power growth, improve risk management, and elevate customer experience. Guardian created the Data Science Lab (DSL) to reimagine insurance in light of emerging technology, evolving consumer needs, and rapid advances in AI. The DSL expedites Guardian's transition to data-driven decision making and fosters innovation by rapidly testing, scaling, and operationalizing state-of-the-art AI. We are seeking a Data Scientist, Agentic AI-an experienced individual contributor with strong experience in Agentic AI, large language models (LLMs), and natural language processing (NLP) and a track record of turning advanced research into practical, impactful enterprise solutions. This role focuses on building, deploying, and scaling agentic AI systems, large language models, and intelligent automation solutions that reshape how Guardian operates, serves customers, and drives growth. You'll collaborate directly with senior executives on high-visibility projects to bring next-generation AI to life across Guardian's products and services. **You Will:** Key Responsibilities + Design and implement Agentic AI solutions that automate business workflows, improve decision-making, and enhance customer and employee experiences. + Apply LLMs and generative AI to process and interpret unstructured data such as contracts, underwriting notes, claims, medical records, and customer interactions. + Develop autonomous agents and reasoning systems that integrate with Guardian's platforms to deliver measurable business outcomes. + Collaborate with data engineers and AIOps teams to ensure models are scalable, robust, and production-ready. + Translate research in agentic AI and reinforcement learning into practical applications for underwriting, claims automation, customer servicing, and risk assessment. + Work closely with product owners, engineers, and business stakeholders to define use cases, design solutions, and measure impact. + Contribute to the Data Science Lab by building reusable components and frameworks for developing and deploying agentic AI solutions. + Adhere to AI and LLM governance, documentation, testing, and other best practices in partnership with key stakeholders. **You are:** + Passionate about applying advanced AI techniques to solve real-world business challenges. + Curious about agentic AI, autonomous systems, and LLM-based solutions that transform industries. + A hands-on builder who enjoys moving solutions from prototype to deployment. + Comfortable collaborating in cross-functional teams and aligning technical solutions with business goals. **You have:** + PhD with 0-1 years of experience, Master's degree with 2+ years, or Bachelor's degree with 4+ years in Statistics, Computer Science, Engineering, Applied Mathematics, or related field. + Experience in insurance industry (Underwriting Experience is Preferred) + 2+ years of hands-on experience in AI/ML modeling and development. + Solid understanding of probability, statistics, and machine learning fundamentals. + Strong programming skills in Python and familiarity with frameworks like PyTorch, TensorFlow, and LangGraph. + Experience with LLMs, generative AI, and multi-step reasoning systems. + Excellent problem-solving and analytical skills with attention to detail. + Strong communication skills and ability to collaborate effectively with product and engineering teams. + Working knowledge of core software engineering concepts (version control with Git/GitHub, testing, logging, ...). + Working knowledge of a variety of machine learning techniques (clustering, decision tree, bagging/boosting artificial neural networks, etc.) and their real-world advantages/drawbacks. **Location:** + Three days a week at a Guardian office in New York, NY, Holmdel, NJ, Bethlehem, PA, or Boston, MA **Work Authorization** + Guardian Life is not currently or in the foreseeable future sponsoring employment visas. In order to be a successful applicant, you must be legally authorized to work in the United States, without the need for employer sponsorship now or in the future. **Salary Range:** $95,170.00 - $156,355.00 The salary range reflected above is a good faith estimate of base pay for the primary location of the position. The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate. In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation. **Our Promise** At Guardian, you'll have the support and flexibility to achieve your professional and personal goals. Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards. **Inspire Well-Being** As part of Guardian's Purpose - to inspire well-being - we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues. Explore our company benefits at *********************************************** . _Benefits apply to full-time eligible employees. Interns are not eligible for most Company benefits._ **Equal Employment Opportunity** Guardian is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law. **Accommodations** Guardian is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Guardian also provides reasonable accommodations to qualified job applicants (and employees) to accommodate the individual's known limitations related to pregnancy, childbirth, or related medical conditions, unless doing so would create an undue hardship. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact *************. Please note: this resource is for accommodation requests only. For all other inquires related to your application and careers at Guardian, refer to the Guardian Careers site. **Visa Sponsorship** Guardian is not currently or in the foreseeable future sponsoring employment visas. In order to be a successful applicant. you must be legally authorized to work in the United States, without the need for employer sponsorship. **Current Guardian Colleagues: Please apply through the internal Jobs Hub in Workday.** Every day, Guardian helps our 29 million customers realize their dreams through a range of insurance and financial products and services. Our Purpose, to inspire well-being, guides our dedication to the colleagues, consumers, and communities we serve. We know that people count, and we go above and beyond to prepare them for the life they want to live, focusing on their overall well-being - mind, body, and wallet. As one of the largest mutual insurance companies, we put our customers first. Behind every bright future is a GuardianTM. Learn more about Guardian at guardianlife.com . Visa Sponsorship: Guardian Life is not currently or in the foreseeable future sponsoring employment visas. In order to be a successful applicant, you must be legally authorized to work in the United States, without the need for employer sponsorship.

Work Arrangement: Hybrid (3 days onsite, 2 days remote) Employment Type: Full-time (W2 only - No C2C or 1099) Experience Required: 7+ years We are seeking a highly skilled Data Scientist with a strong background in machine learning, data modeling, and statistical analysis. The ideal candidate will have at least 7 years of hands-on experience in designing, developing, and deploying ML models, preferably in a risk-related or financial services environment. This role will support data-driven decision-making processes and help deliver innovative AI/ML solutions in a collaborative and high-performance team setting. Develop, validate, and implement machine learning and statistical models. Work with large-scale datasets to extract actionable insights. Collaborate with cross-functional teams including data engineering, product, and risk teams. Analyze and interpret the results of model performance and deliver recommendations. Stay current with emerging trends and tools in AI/ML and model risk management. Job requirements Must-Have Skills: 7+ years of experience in Data Science or a related field. Proficiency in Python for data analysis, modeling, and ML development. Strong understanding of machine learning algorithms and statistical modeling. Hands-on experience with data visualization and analytical tools. Excellent problem-solving and communication skills. Good to Have: Experience in Model Risk Development related to ML or LLMs (Large Language Models). Financial services or risk modeling background.Candidate Requirements: Local to or willing to commute to Pennington, NJ. W2 candidates only - no third-party or C2C engagements. Authorized to work in the United States without sponsorship. TopTech Talent is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. 🚫 Third-party recruiters, please do not reach out for this role. All done! Your application has been successfully submitted! Other jobs

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at ******************* Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: Scientific/Technology All Job Posting Locations: Cambridge, Massachusetts, United States of America, La Jolla, California, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Johnson & Johnson Innovative Medicine R&D Data Science and Digital Health is recruiting for a Principal Data Scientist, Real World Evidence (RWE). The primary location for this position is flexible - Titusville, NJ; Raritan, NJ; Spring House, PA; Cambridge, MA; or San Diego, CA J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market - from patients to practitioners and from clinics to hospitals. To learn more about Johnson & Johnson Innovative Medicine visit *********************************** The R&D Data Science & Digital Health, Real-World Evidence (RWE) team at J&J Innovative Medicine is dedicated to developing innovative evidence solutions and critical insights through diverse data sources including RWD, trial data and emerging innovative data sources, to support our clinical programs and regulatory submissions. The Principal Data Scientist will collaborate closely with strategic partners in R&D Data Science and Digital Health, as well as multidisciplinary teams within J&J Innovative Medicine, to develop and implement evidence and insights to improve patient outcomes and enhance clinical development in Oncology, Immunology, or Neuroscience. Key Responsibilities: * Contribute to the development of a portfolio of RWE projects based on RWD that will provide key insights to our pipeline assets * Leverage emerging scientific and technological developments to generate new research ideas, solutions and initiatives using real-world data * End-to-end experience in RWE studies including conceptualizing the research questions, data feasibility, study design, analysis, programming, and interpretation * Analyze and interpret data to support urgent requests from internal and external stakeholders * Ensure quality of design, execution, and publication of real-world evidence studies, and quality of models & tools * Create study protocols, statistical analysis plans, and statistical programming deliverables * Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making * Ensure RWE generation aligned with regulatory requirements and scientific standards Required Qualifications: * A Ph.D. degree, or master's degree in a quantitative field (e.g., epidemiology, biostatistics, statistics, Bioinformatics, or similar) * Relevant experience (2+ years for Ph.D., 4+ years for a master's) within biopharma companies, RWE consulting firms, or other relevant healthcare industries * Extensive hands-on experience with data engineering and data analysis * Proven track record of consistently delivering on high impact data science projects * Expert proficiency in R and SQL * Excellent interpersonal, communication, and presentation skills Preferred Qualifications: * Experience delivering on Data Science projects using predictive technologies as machine learning/deep learning, or forecasting * Familiarity with and exposure to drug discovery and clinical development processes with one or more of the following therapeutic areas: oncology, immunology, neuroscience, or specialty ophthalmology Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (********************************) or contact AskGS to be directed to your accommodation resource. #LI-GR #LI-Hybrid #JRDDS #JNJDataScience #JRD Required Skills: Preferred Skills: The anticipated base pay range for this position is : $115,000 - $197,800 Additional Description for Pay Transparency: Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits: Vacation -120 hours per calendar year Sick time - 40 hours per calendar year; for employees who reside in the State of Washington -56 hours per calendar year Holiday pay, including Floating Holidays -13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave - 480 hours within one year of the birth/adoption/foster care of a child Condolence Leave - 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave - 10 days Volunteer Leave - 4 days Military Spouse Time-Off - 80 hours Additional information can be found through the link below. *********************************************

Title: Reserving Actuary Reporting to: VP, Reserving About Hippo: Hippo exists to protect the joy of homeownership. We believe that insurance should protect the things you treasure through an intuitive, modern experience. We provide tailored insurance coverage and preventative maintenance plans that keep you protected throughout your homeowner journey. We'll also help you find coverage for everything life brings-from auto to flood-reimagining how you care for your home. About The Role: We are seeking a detail-oriented and analytical actuary to join our reserving team for program business. In this role, you will support the development and maintenance of loss reserve models, ensuring the company's financial stability and compliance with regulatory standards. You will work closely with senior actuaries, finance, and claims teams to analyze trends, evaluate reserve adequacy, and improve actuarial methodologies. What You'll Do: * Collaborate to drive forward the analysis of ultimate losses and loss adjustment expenses across program partners * Coordinate, maintain, and communicate metrics from the loss reserving process to support related disciplines such as Pricing, Underwriting, Reinsurance, and Finance * Support the annual, quarterly, and monthly financial reporting processes across GAAP and STAT entities * Collaborate proactively and independently across functions to drive communication and education around loss ratio performance, emerging issues, and industry results * Perform forensic data analysis to identify any issues with claims data quality * Ownership of reconciling data, setting up data routines, structuring custom reserve reviews, and ensuring the organization has effective tools to evaluate reserves. Drive clear documentation and maintain strong controls for all related processes * Proactively identify opportunities for process and efficiency improvement in department functions with follow-through to implement data driven and automated solutions * Opportunity to innovate reserving models: model building, refitting, or calibration * Support the review of new and existing insurance programs Must Haves: * Bachelor's degree in Actuarial Science, Mathematics, Statistics, Economics, or a related field * 5+ years in actuarial role including time in property casualty loss reserving * Solid foundation in basic reserving methodologies * Actuarial credentials: ACAS required * Strong research, statistical, analytical, and mathematical skills with the ability to conduct analysis on limited and/or unstructured data * Demonstrated experience presenting to senior leadership and communicating with a large audience across different disciplines * Professional proficiency in SQL, Excel, and Python is required * Demonstrated project management and ability to deliver under tight timelines * A good understanding of different accounting standards (e.g., US GAAP, US STAT) Nice to Have: * Prior program experience * Experience across many lines of business including Casualty Benefits and Perks Hippo treats its team members with the same level of dedication and care as we do our customers, which is why we're fortunate to provide all of our Hippos with: * Healthy Hippos Benefits - Multiple medical plan options, 100% covered dental and vision for you and your family, and a wellness program that rewards healthy habits. We also offer a 401(k)-retirement plan, short & long-term disability, employer-paid life insurance, Flexible Spending Accounts (FSA) for health and dependent care, and an Employee Assistance Program (EAP) * Equity - This position is eligible for equity compensation * Training and Career Growth - Training and internal career growth opportunities * Flexible Time Off - You know when and how you should recharge * Little Hippos Program - We offer 12 weeks of parental leave for primary and secondary caregivers * Hippo Habitat - Snacks and drinks available for onsite employees The Bedminster, NJ and San Francisco Bay Area base pay range for this role is $125,000 - $175,000. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, location, business needs and market demands. Hippo is an equal opportunity employer, and we are committed to building a team culture that celebrates diversity and inclusion. Hippo's applicants are considered solely based on their qualifications, without regard to an applicant's disability or need for accommodation. Any Hippo applicant who requires reasonable accommodations during the application process should contact the Hippo's People Team to make the need for an accommodation known.

Job Description Be Part of a Dynamic Team This organization is advancing enterprise-wide data practices to support a highly regulated, innovation-driven environment. The data governance function is in a growth phase, focused on establishing consistent standards, accountability, and stewardship across business domains. The team partners closely with Legal, Compliance, Security, and business leaders to ensure data is managed responsibly, securely, and in alignment with organizational priorities. What's In Store For You This role offers the opportunity to play a highly visible part in shaping and executing an enterprise data governance program. The consultant will work closely with senior leadership while gaining hands-on experience across multiple governance use cases. The position supports onsite collaboration and provides exposure to a wide range of stakeholders and governance challenges within a growing organization. How You Will Make an Impact Execute enterprise data governance initiatives in partnership with business and technical teams Identify and onboard data owners and stewards across functional areas Support early governance use cases such as data retention and data classification Draft, update, and maintain governance policies, procedures, and standards Facilitate workshops and enablement sessions to drive adoption and awareness Partner with Legal, Compliance, and Security to align governance practices Capture risks, gaps, and opportunities to mature governance capabilities Act as a visible representative of governance initiatives across the enterprise Are You an Experienced Data Governance Professional Ready to Make an Impact? 3-7 years of experience in data governance or related consulting roles Strong understanding of data governance operating models and execution Experience authoring and maintaining governance policies Knowledge of data privacy, classification, and handling requirements Ability to lead discussions and workshops with senior stakeholders Consultant mindset with comfort operating in evolving environments Strong communication, facilitation, and organizational skills Technical degree or equivalent professional experience

This position is for an Assistant Actuary. The role is based in our Whitehouse Station, NJ office, however there is flexibility to fill this position in either our Philadelphia, PA or Jersey City, NJ locations for exceptional candidates. This Assistant Actuary position will play a key role in supporting the Property pricing unit of Commercial Insurance (CI) Actuarial, focusing on Package Property and Monoline Property lines of business with additional opportunity to support Marine lines. This position offers broad exposure to various functions across the organization including underwriting, product development, analytics/data science, and rating implementation. The role will also involve collaboration with cross-functional teams and participation in strategic initiatives to enhance pricing capabilities and portfolio performance. Responsibilities: Conduct annual trend analyses and profitability studies and ad-hoc deep dives across granular dimensions to inform pricing strategies. Participate in rating implementation and governance process of externalized rating platforms and provide actuarial production support for existing rating implementations Develop portfolio management capabilities to monitor pricing model performance, achieved rate changes, new business adequacy, business mix, and other metrics in real time. Support actuarial state filings, review competitor filings, and ensure compliance with regulatory requirements. Work with analytics, data science, and other actuarial teams to develop predictive modeling capabilities and establish a rigorous model refresh process. Collaborate with reinsurance pricing teams to support treaty renewals. Provide monthly, quarterly, and annual reporting for price monitoring and actual vs. expected analyses. Qualifications: BS/BA Degree or higher in Mathematics, Actuarial Science, Statistics, Finance, or a related field 4+ years of actuarial experience ACAS or FCAS designation Proficiency in a programming language such as Python or R Experience with relational databases, and strong ability to write complex queries in SQL Familiarity with concepts in statistics and data science Ability to work independently and communicate ideas effectively Well organized and able to maintain good documentation and record keeping Desire to work in a fast-paced, fluid environment with a focus on innovation and continuous improvement. The pay range for the role is $117,000 to $170,000. The specific offer will depend on an applicant's skills and other factors. This role may also be eligible to participate in a discretionary annual incentive program. Chubb offers a comprehensive benefits package, more details on which can be found on our careers website. The disclosed pay range estimate may be adjusted for the applicable geographic differential for the location in which the position is filled.

America Networks is a leading sensor and networking solutions partner for companies in any Industrial, Manufacturing, and Waste management space. We design and manufacture sensors for storage tanks, water metering, energy metering, gas monitoring, and asset management. Our founders are hardcore telecommunications engineers with combined 200 + years of experience in designing, optimizing and performance engineering; for several mid - large wireless carriers internationally - that saw a need to provide low power, cost efficient sensors to collect data, create alerts, and predict needed actions. We have combined these sensors with low power, wide area (LPWA) networking technologies to provide clients various options to decrease re-occurring costs associated with operating an IoT network of sensors and connected devices. We specialize in design, deployment, optimization, and support of these Networks. Whether an off-the-shelf or custom solution is needed, we'll create a solution and push the data on the best cloud platform to fit your needs, including your own. Job Description Basking Ridge-NJ-USA Analytics - Data scientist - As a Data Scientist, you will be working with a team of highly motivated individuals that are setting their goals to create the next big digital experience for Client. If you are passionate about asking questions, and find answers in the data that we have, you will be a good fit for this team. You will play the unique role of driving insights, that will help us build the digital platform for Client's Business Markets. Responsibilities Conduct advanced statistical analysis to provide actionable insights, identify trends, and measure performance Collaborate with the team to improve the effectiveness of business decisions through the use of data. Build learning systems that monitor data flows and react to changes in customer preferences, network constraints, and business objectives Collaborate with engineers to implement and deploy scalable solutions Provide thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders Use data mining and analytical expertise to explore and examine data from multiple disparate sources with the goal of discovering patterns and previously hidden insights, which in turn can provide a competitive advantage or address a pressing business problem. Qualifications Minimum BA/BS degree in Statistics, Math, Physics, Computer Science or related quantitative degree. 5+ years of relevant experience. MS/PhD preferred Ability to mine large data sets and looks for valuable insights that drive business outcomes Extensive experience with analytical and quantitative problem solving. Experience with analysis tool(s) such as pandas or R. Fluency with at least one scripting language such as Python. Familiarity with relational databases and SQL. Comfortability working in a Unix environment . Pluses Experience with MapReduce, Hadoop, Hive or similar systems. Specific interest in search engines, recommendation systems, or social networks. Active contributor to open source software. Additional Information Vivek Salvatore vivek.salvatore(@)americanetworks.com **************

Responsibilities: ∙Build high performance data systems including databases, APIs, and data integration pipelines. ∙Implement a metadata\-driven architecture and infrastructure as code approach to automate and simplify the design, deployment, and management of data systems. ∙Facilitate the adoption of data and software engineering best practices, including code review, testing, and continuous integration and delivery (CI\/CD). ∙Develop and establish a data governance framework. ∙Continuous monitoring of process performance and implement improvements for efficiency including fine\-tuning existing ETL processes, optimizing queries, or refactoring code. ∙Assess and make optimal use of cloud platforms and technologies, especially Azure and Databricks to enhance system architecture. ∙Implement data quality checks and build processes to identify and resolve data issues. ∙Create and maintain documentation for data architecture, standards, and best practices. ∙Contribute designs, code, tooling, testing, and operational support. ∙Identify opportunities for process optimization and automation to enhance data operations efficiency. Requirements Requirements: ∙7 plus years of experience working as a Data Engineer, Data Architect, Database Developer or similar roles. ∙Bachelor's Degree in Computer Science, Data Science, Engineering or related field. ∙7+ years of experience in programming languages such as Python, Scala, Java, Rust or similar. ∙7+ years of experience in Oracle OLTP database design and development. ∙7+ years of experience in building ETL \/ ELT data pipelines using Apache Spark, Airflow, dbt or similar. ∙7 years of experience in developing APIs that include REST, SOAP, RPC, GraphQL or similar. ∙7 years of experience in OLAP \/ data warehouse design and development using dimensional (Kimball star\-schema), data vault or Inmon methodologies. ∙5 years of experience in NoSQL database design and development preferably on MongoDB or similar. ∙5 years of experience working with message broker platforms like RabbitMQ, Apache Kafka, Red Hat AMQ or similar. ∙5 years of experience working with Azure or AWS cloud\-native technologies \/ services. ∙Working knowledge of CI\/CD automation tools or services like Jenkins, Ansible, Chef, Puppet or similar. ∙Working knowledge of containerized platform or services like Docker, Kubernetes or similar. "}}],"is Mobile":false,"iframe":"true","job Type":"Full time","apply Name":"Apply Now","zsoid":"695381556","FontFamily":"Verdana, Geneva, sans\-serif","job OtherDetails":[{"field Label":"Employment Type","uitype":100,"value":"W2"},{"field Label":"Industry","uitype":2,"value":"Insurance"},{"field Label":"Work Authorization","uitype":100,"value":"US Citizen;GC"},{"field Label":"Salary","uitype":1,"value":"140\-150k"},{"field Label":"City","uitype":1,"value":"Lebanon"},{"field Label":"State\/Province","uitype":1,"value":"New Jersey"},{"field Label":"Zip\/Postal Code","uitype":1,"value":"08833"}],"header Name":"Senior Data Engineer","widget Id":"**********00072311","is JobBoard":"false","user Id":"**********00268007","attach Arr":[],"custom Template":"3","is CandidateLoginEnabled":false,"job Id":"**********06069005","FontSize":"12","location":"Lebanon","embedsource":"CareerSite","indeed CallBackUrl":"https:\/\/recruit.zoho.com\/recruit\/JBApplyAuth.do","logo Id":"vgtkw21b67ab9913e491893119e6f375ff5ba"}

Global Channel Management is a technology company that specializes in various types of recruiting and staff augmentation. Our account managers and recruiters have over a decade of experience in various verticals. GCM understands the challenges companies face when it comes to the skills and experience needed to fill the void of the day to day function. Organizations need to reduce training and labor costs but at same requiring the best "talent " for the job. Additional Information $40/hr 6 months

TCG offers consultant staffing, employee recruiting, and executive search solutions backed by years of experience developing custom hiring strategies for a variety of technical skills. Our clients range from startups to Fortune 500 companies across North America in the financial services, investment banking, and fintech industries. Job Description A Top Firm focusing on Market Access & Pricing Research in life sciences industry is looking for a Strong Data Engineer / SAS Progammer with Strong SAS, Python, R and SQL. Responsibilities: Designs, develops, automates, and programs methods, processes, and systems to consolidate and analyze unstructured, diverse "big data" sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources Interprets and communicates insights and findings from analysis and experiments to product, service and business managers. As a seasoned, experienced professional with a full understanding of area of specialization, he/she resolves a wide range of issues in creative ways. Ability to draw on past experience and current data to influence business partners and provide insightful analytics. Works on problems of diverse scope where analysis of data requires evaluation of identifiable factors. Demonstrates good judgment in selecting methods and techniques for obtaining solutions. Working in a team environment, interact with multiple groups on a daily basis (very strong communication skills). Ability to build tests to identify errors while developing software. Ability to leverage R, Python, SQL and other systems to perform complex analysis Ability to work in cross-functional teams and work more independently. Qualifications BS in Computer Science or related degree 3-5 years of relevant work experience Experience with SAS and SQL a must Experience with R, Python, and Shell a plus Ability to write, analyze, and debug SQL queries Experience with Data Warehouse design, ETL (Extraction, Transformation & Load), Architecting efficient software designs for DW platform. Additional Information All your information will be kept confidential according to EEO guidelines.

A healthcare payor is actively hiring for Data Engineers with strong Databricks expertise to help drive their data ingestion projects. This role will play a critical part in growing their Enterprise Data Office so the enterprise can leverage data to directly impact patient outcomes, operational efficiency, and data-driven decision-making. Key Responsibilities include: - Design, develop and implement end-to-end data solutions using Azure Databricks. - Convert legacy SQL workflows into modern Python-based pipelines. - Maintain and optimize high-volume data pipelines in production. - Write, test, and tune PySpark and SQL scripts for performance and scalability. PLEASE NOTE: We are looking for someone who values in person collaboration and is willing to come onsite weekly in Newtown Square, PA 19073. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: **************************************************** Skills and Requirements 4+ years of experience as a Data Engineer working on data ingestion/integration related projects 2+ years of experience building pipelines with Databricks 3+ years of experience with Python for scripting, automation, data cleaning and transformation Understanding of PySpark to implement ETL pipelines 3+ years of experience working with different data types (JSON, HL7, XML, CSV, etc.) - Azure Cloud environment - Experience working with HL7, FHIR and/or USCDI healthcare data standards

Business Area Data Ref # 10047919 **Description & Requirements** Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint a complete picture for our clients-around the clock and around the world. In Data, we are responsible for delivering this data, news, and analytics through innovative technology-quickly and accurately. We apply product thinking, domain expertise, and technical insight to continuously improve our data offerings, ensuring they remain reliable, scalable, and fit-for-purpose in a fast-changing landscape. **Our Team:** The Private Deals Data team is responsible for Bloomberg's private transactions data model-an essential foundation for understanding global private markets. This data defines and enriches private companies, linking them to. Private company data plays a critical role in research, investment analysis, compliance, and due diligence. Integrating diverse datasets with our core private company data helps clients uncover insights, validate exposures, monitor evolving risks, and identify new opportunities in opaque and fast-growing markets. **The Role:** We are seeking a Data Engineer to design, build, and maintain the data pipelines, models, and integrations that power Bloomberg's private company data ecosystem. This role focuses on embedding M&A and Private Market data into Bloomberg's semantic model and analytical frameworks such as BQL-enabling richer discoverability and seamless integration across client workflows. You will develop robust ETL processes, manage schema mappings, and implement scalable data transformations to ensure consistency and reliability. You'll also contribute to enhancing Bloomberg's private company valuation product by extending the data model, implementing versioning, and ensuring data provenance is fully traceable. Working closely with Product, Engineering, and Data teams, you'll play a central role in shaping the technical foundation that underpins Bloomberg's evolving private market offerings. **You Will:** + Design, build, and maintain data pipelines and models to integrate M&A and Private data into Bloomberg's semantic model and BQL. + Perform schema mapping, normalization, and transformation to align diverse datasets with internal standards. + Implement scalable ETL processes ensuring completeness, accuracy, and transparency of data. + Extend the valuation data model to support company-level valuations, versioning, and auditability. + Partner with Product and Data teams to define and implement data quality and consistency checks. + Develop documentation and reusable frameworks for data ingestion and integration. + Support discoverability and search capabilities by ensuring data is optimized for BQL and function-layer exposure. + Contribute to continuous improvement of data engineering practices and tools. **You'll Need to Have:** _*We use years of experience as a guide but will consider all candidates who can demonstrate the_ _required skills._ + 3+ years of experience in data engineering, software engineering, or related fields. + Strong programming skills in Python, Java, or Scala, with proficiency in data processing frameworks (e.g., Spark, Flink, or Beam). + Solid understanding of data modeling, schema design, and ETL architecture. + Experience working with relational and columnar data stores (e.g., SQL, Postgres,BigQuery). + Familiarity with semantic data models or knowledge graphs. + Understanding of data versioning, provenance tracking, and metadata management. + Strong problem-solving and debugging skills with attention to scalability and performance. + Comfort working in collaborative, cross-functional environments. **We'd Love to See:** + Experience integrating financial or private market data. + Familiarity with Bloomberg Query Language (BQL) or similar query interfaces. + Understanding of valuation data, company financials, or transaction modeling. + Experience working in Agile teams. + Passion for building high-quality, transparent, and auditable data systems. **Does this sound like you?** Apply if you think we're a good match. We'll get in touch to let you know what the next steps are! Salary Range = 110000 - 190000 USD Annually + Benefits + Bonus The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level. We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns. Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email amer_*********************

Work Arrangement: Hybrid (3 days onsite, 2 days remote) Employment Type: Full-time (W2 only - No C2C or 1099) Experience Required: 7+ years We are seeking a highly skilled Data Scientist with a strong background in machine learning, data modeling, and statistical analysis. The ideal candidate will have at least 7 years of hands-on experience in designing, developing, and deploying ML models, preferably in a risk-related or financial services environment. This role will support data-driven decision-making processes and help deliver innovative AI/ML solutions in a collaborative and high-performance team setting. Develop, validate, and implement machine learning and statistical models. Work with large-scale datasets to extract actionable insights. Collaborate with cross-functional teams including data engineering, product, and risk teams. Analyze and interpret the results of model performance and deliver recommendations. Stay current with emerging trends and tools in AI/ML and model risk management. Must-Have Skills: 7+ years of experience in Data Science or a related field. Proficiency in Python for data analysis, modeling, and ML development. Strong understanding of machine learning algorithms and statistical modeling. Hands-on experience with data visualization and analytical tools. Excellent problem-solving and communication skills. Good to Have: Experience in Model Risk Development related to ML or LLMs (Large Language Models). Financial services or risk modeling background.Candidate Requirements: Local to or willing to commute to Pennington, NJ. W2 candidates only - no third-party or C2C engagements. Authorized to work in the United States without sponsorship. TopTech Talent is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. 🚫 Third-party recruiters, please do not reach out for this role.

Is the opportunity to join a culture where "We Do the Right Thing," and "We Courageously Shape Our Future Together" important to you? If so, Guardian is seeking a resolute motivated individual to join our team as a Data Scientist/Senior Data Engineer - Finance Transformation. Guardian is seeking a technically skilled and business-savvy Technical Analyst / Data Engineer to design, develop, and support advanced actuarial and financial applications. This role will play a critical part in transforming our actuarial and finance functions by building scalable data pipelines, dashboards, and machine learning models that enhance decision-making and operational efficiency. You will work closely with Actuarial, Finance, Data Science, and Technology teams to deliver solutions used in reserving, pricing, predictive analytics, and financial reporting. **You will:** + Machine Learning, Engineering & Analytics Development + Build and optimize large-scale data pipelines using PySpark, SQL, and Python on cloud platforms such as Databricks and AWS + Utilizing advanced statistical and AI/ML techniques to develop, deploy, and support predictive models and actuarial tools used for reserving, pricing, and FP&A (e.g., claims projection model, LTD Reserving model) + Automate manual actuarial/finance processes by integrating coding workflows with structured datasets and business logic + Support use case development that includes initial data exploration, project/sample design, reception, and processing of data, performing analysis and modeling to creation of final report/presentation + Data wrangling/data matching/ETL to explore a variety of data sources, gain data expertise, perform summary analyses, and prepare modeling datasets + Identification of source data and data quality checks both in model/solution development and in production + Packaging of model/solution and deployment in cooperation with Data Engineers and MLOps + Implement new statistical or other mathematical methodologies as needed for specific models or analysis. + Data Integration & Validation + Work across data domains to ingest, cleanse, and structure financial and actuarial datasets from multiple sources (e.g., Claims systems, Billing and Commissions system) + Implement robust data quality checks and reconciliation controls to ensure accuracy and completeness of critical reporting and modeling datasets + Collaboration & Documentation + Collaborate with actuaries, finance SMEs, and business analysts to translate complex requirements into efficient technical designs. + Maintain clear documentation for code, data flows, model logic, and user instructions. **You have** + **Technical Expertise & Domain Knowledge** + 6-8 years in a data engineering, actuarial modeling, or analytics-focused technical role, ideally in Group insurance or Financial services + 2+ years of hands-on ML modeling/development experience + Solid understanding of data analysis and statistical modeling. + Knowledge of a variety of machine learning techniques (clustering, decision tree, bagging/boosting artificial neural networks, etc.) and their real-world advantages/drawbacks. + Demonstrated track records in experimental design and executions + Hands-on experience with data wrangling including fuzzy matching and regular expression, distributed computing and applying parallelism to ML solutions + Strong programming skills in Python + Solid background in algorithms and a range of ML models + Working knowledge of Pricing and actuarial processes, or Group insurance product structures + Proficiency in Python, PySpark, and SQL is essential + Experience working with Databricks, Tableau, Power BI, or similar visualization and cloud platform + Exposure to ML/AI libraries and framework to develop or enhance models + **Soft Skills** + Analytical mindset with strong attention to detail + Self-starter who thrives in fast-paced, cross-functional teams + **Education** + Bachelor's or Master's degree in Computer Science, Actuarial Science, Mathematics, Engineering, Finance, or a related discipline or equivalent experience. + **Preferred Qualifications** + Hands-on experience building valuation, reserving, or pricing models for group insurance products + Experience in agile or SAFe environments with sprint planning, Jira, or Confluence + Strategic and creative thinker with ability to think outside the box and translate strategies into actions + Excellent problem-solving skills + Team player with proven ability to foster and manage working relationships within a matrix environment + Candidate must be comfortable with ambiguity in strategic direction. Priorities will change as current uncertainties become new standards and shape the market. There must be constant balance between proactive and reactive strategy and execution. + Candidate must work well in a collaborative and diverse team environment, understanding and employing the approach and standard operating procedures of all functional areas across Guardian + Excellent oral and written communication skills **Location:** Hybrid role - 3 days in a Guardian office located in Holmdel, NJ; Bethlehem PA; or Hudson Yards, NYC. 2 days WFH. 10% Travel to other offices as determined by the People Leader **Salary Range:** $99,150.00 - $162,885.00 The salary range reflected above is a good faith estimate of base pay for the primary location of the position. The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate. In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation. **Our Promise** At Guardian, you'll have the support and flexibility to achieve your professional and personal goals. Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards. **Inspire Well-Being** As part of Guardian's Purpose - to inspire well-being - we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues. Explore our company benefits at *********************************************** . _Benefits apply to full-time eligible employees. Interns are not eligible for most Company benefits._ **Equal Employment Opportunity** Guardian is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law. **Accommodations** Guardian is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Guardian also provides reasonable accommodations to qualified job applicants (and employees) to accommodate the individual's known limitations related to pregnancy, childbirth, or related medical conditions, unless doing so would create an undue hardship. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact *************. Please note: this resource is for accommodation requests only. For all other inquires related to your application and careers at Guardian, refer to the Guardian Careers site. **Visa Sponsorship** Guardian is not currently or in the foreseeable future sponsoring employment visas. In order to be a successful applicant. you must be legally authorized to work in the United States, without the need for employer sponsorship. **Current Guardian Colleagues: Please apply through the internal Jobs Hub in Workday.** Every day, Guardian helps our 29 million customers realize their dreams through a range of insurance and financial products and services. Our Purpose, to inspire well-being, guides our dedication to the colleagues, consumers, and communities we serve. We know that people count, and we go above and beyond to prepare them for the life they want to live, focusing on their overall well-being - mind, body, and wallet. As one of the largest mutual insurance companies, we put our customers first. Behind every bright future is a GuardianTM. Learn more about Guardian at guardianlife.com . Visa Sponsorship: Guardian Life is not currently or in the foreseeable future sponsoring employment visas. In order to be a successful applicant, you must be legally authorized to work in the United States, without the need for employer sponsorship.