Senior data scientist jobs in Franklin, NJ - 368 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: New Brunswick, New Jersey, United States of America Job Description: We are searching for the best talent for Senior Data Scientist, Generative AI to be in New Brunswick, NJ. About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at *******************/innovative-medicine Purpose: As a Data Scientist in Global Finance Data Science Team: You will be responsible for developing data science products, including the application of advanced Generative AI models, delivering practical, high-impact solutions within Global Finance. You will work alongside a global team of Data Scientists, Data Engineers, Finance Analysts and Machine Learning Engineers to advance data science and AI roadmap for J&J's Global Finance function. You will help deliver value-added insights and analytics to our finance and business leaders, reduce manual workload through automation, and enhance user-experience. You will help to execute the Data Science/ AI projects for Global Finance function. You will need to have a breadth of skills and knowledge to handle the challenges of translating key business needs into meaningful data science questions and investigating those questions using relevant data analytics and machine learning/ AI techniques. You will be responsible for data science projects across their lifecycle: Prioritization of use-cases, design/ proof-of-concept (PoC), development, deployment, and adoption by end-users. The capabilities developed will include predictive financial forecasting, descriptive analytics and data visualization, decision support, cognitive/ Gen AI technologies, and data science technology platform. You will need to connect with different stakeholders to ensure the solutions meet the business and end-user needs and are widely adopted. This includes partnering with Finance Directors, CFOs and Group Finance, Commercial leaders, Process Owners, Technology, Finance Systems & Data, Reporting and Compliance teams. You will need to ensure that PoC's are put into production with correct amount of automation and systems integration. This role will involve understanding the needs of business stakeholders and advocating the merits of Data Science/ Data-driven Analytics to provide viable solutions. You will be responsible for: Develop data science solutions: Business problem understanding, data processing, algorithms to discover trends & patterns, data visualization, generation of key insights and communication to senior stakeholders. Employ Generative AI techniques and approaches to upgrade Machine Learning models into hybrid models, taking advantage of LLM's capacity to summarize, whilst seeking to reduce their capacity to hallucinate. Ensure that all GEN AI output adheres to rules and guidelines defined by legal, Compliance and IT. Write production-level and scalable code in Python or R programming languages Implement machine learning and statistical models for Predictive, Time series forecasting, Decision Support, Gen AI, NLP etc. Execute Data Science projects from an end-to-end perspective: From data acquisition, data pre-processing, modelling, visualization and full integration with end-user systems and processes. Develop data processing and modelling pipelines for large datasets from finance and ERP systems such as SAP HANA. Present results, key insights and explain complex analysis in a simple manner to senior leaders across different functions to help drive data-driven decision making and adoption. Leverage data visualization/ dashboarding tools for interactive presentations. Deploy analytical models into production. Take accountability for requirements, procedures and standards such as version control and documentation. Automation of data pipelines and orchestration of workflows. Leverage and advance robust data architecture and cloud-based technology stack to support production-level work. Partner with cross-functional teams: Technology, Finance Systems and Data, Group Finance and CFOs, Compliance, Data Engineering, and other Data Scientists to ensure project success. Keep up to date to apply latest technology trends in the areas of data science and artificial intelligence, including Generative AI. Flexibility to work in a global team (spanning across multiple time zones), with a culture of continuous innovation, teamwork, collaboration, and inclusion among team members. Work on projects of varying length and complexity in an agile manner with work prioritization and deadlines. Advocate and facilitate the use of data-driven insights and data science methods across J&Js Global Finance organization. Understanding J&Js business as well as Global Finance function to better apply Data Science solutions. Qualifications / Requirements: Qualifications: Minimum of 5 years of relevant experience in an industry setting is required Minimum of a Bachelors degree is required, preferably in Computer Science, Engineering, Data Science, Business Analytics, Science, Finance or any quantitative or STEM discipline, Engineering or any other quantitative or STEM discipline. Master's degree in a relevant field is preferred Ability to work and collaborate with a global team, innovate, and drive for common goals and achievements. Experience of executing Data Science projects from initiation through PoC to Production Knowledge of Big Data, Data Pipelining, Machine Learning, intermediate level of Software Development and Automation skills. Must have a strong Commercial focus, a solid background in Data Science and experience with Machine Learning/ Statistics. Data science experience in a Finance or Commercial setting is strongly preferred. Ability to connect and partner with various stakeholders (cross-functional) including senior executives to identify their needs and drive adoption of the solutions. Experience in managing compliance adherence, risk management and stakeholder commitments in large organizations Other: The position will be located in New Brunswick, NJ and may require up to 10% travel 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 & 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, external applicants please contact us via *******************/contact-us/careers . Internal employees contact AskGS to be directed to your accommodation resource. #JNJDataScience Required Skills: Data Pipelines, Machine Learning Algorithms, Statistics Preferred Skills: Erp Software, Finance, Global Finance, SAP Accounting The anticipated base pay range for this position is : The anticipated base pay range for this position is $147,000 to $169,050 USD 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)). This position is eligible to participate in the Company's long-term incentive program. 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. *********************************************

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: New Brunswick, New Jersey, United States of America Job Description: We are searching for the best talent for Senior Data Scientist, Generative AI to be in New Brunswick, NJ. About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at *******************/innovative-medicine Purpose: As a Data Scientist in Global Finance Data Science Team: You will be responsible for developing data science products, including the application of advanced Generative AI models, delivering practical, high-impact solutions within Global Finance. You will work alongside a global team of Data Scientists, Data Engineers, Finance Analysts and Machine Learning Engineers to advance data science and AI roadmap for J&J's Global Finance function. You will help deliver value-added insights and analytics to our finance and business leaders, reduce manual workload through automation, and enhance user-experience. You will help to execute the Data Science/ AI projects for Global Finance function. You will need to have a breadth of skills and knowledge to handle the challenges of translating key business needs into meaningful data science questions and investigating those questions using relevant data analytics and machine learning/ AI techniques. You will be responsible for data science projects across their lifecycle: Prioritization of use-cases, design/ proof-of-concept (PoC), development, deployment, and adoption by end-users. The capabilities developed will include predictive financial forecasting, descriptive analytics and data visualization, decision support, cognitive/ Gen AI technologies, and data science technology platform. You will need to connect with different stakeholders to ensure the solutions meet the business and end-user needs and are widely adopted. This includes partnering with Finance Directors, CFOs and Group Finance, Commercial leaders, Process Owners, Technology, Finance Systems & Data, Reporting and Compliance teams. You will need to ensure that PoC's are put into production with correct amount of automation and systems integration. This role will involve understanding the needs of business stakeholders and advocating the merits of Data Science/ Data-driven Analytics to provide viable solutions. You will be responsible for: Develop data science solutions: Business problem understanding, data processing, algorithms to discover trends & patterns, data visualization, generation of key insights and communication to senior stakeholders. Employ Generative AI techniques and approaches to upgrade Machine Learning models into hybrid models, taking advantage of LLM's capacity to summarize, whilst seeking to reduce their capacity to hallucinate. Ensure that all GEN AI output adheres to rules and guidelines defined by legal, Compliance and IT. Write production-level and scalable code in Python or R programming languages Implement machine learning and statistical models for Predictive, Time series forecasting, Decision Support, Gen AI, NLP etc. Execute Data Science projects from an end-to-end perspective: From data acquisition, data pre-processing, modelling, visualization and full integration with end-user systems and processes. Develop data processing and modelling pipelines for large datasets from finance and ERP systems such as SAP HANA. Present results, key insights and explain complex analysis in a simple manner to senior leaders across different functions to help drive data-driven decision making and adoption. Leverage data visualization/ dashboarding tools for interactive presentations. Deploy analytical models into production. Take accountability for requirements, procedures and standards such as version control and documentation. Automation of data pipelines and orchestration of workflows. Leverage and advance robust data architecture and cloud-based technology stack to support production-level work. Partner with cross-functional teams: Technology, Finance Systems and Data, Group Finance and CFOs, Compliance, Data Engineering, and other Data Scientists to ensure project success. Keep up to date to apply latest technology trends in the areas of data science and artificial intelligence, including Generative AI. Flexibility to work in a global team (spanning across multiple time zones), with a culture of continuous innovation, teamwork, collaboration, and inclusion among team members. Work on projects of varying length and complexity in an agile manner with work prioritization and deadlines. Advocate and facilitate the use of data-driven insights and data science methods across J&Js Global Finance organization. Understanding J&Js business as well as Global Finance function to better apply Data Science solutions. Qualifications / Requirements: Qualifications: Minimum of 5 years of relevant experience in an industry setting is required Minimum of a Bachelors degree is required, preferably in Computer Science, Engineering, Data Science, Business Analytics, Science, Finance or any quantitative or STEM discipline, Engineering or any other quantitative or STEM discipline. Master's degree in a relevant field is preferred Ability to work and collaborate with a global team, innovate, and drive for common goals and achievements. Experience of executing Data Science projects from initiation through PoC to Production Knowledge of Big Data, Data Pipelining, Machine Learning, intermediate level of Software Development and Automation skills. Must have a strong Commercial focus, a solid background in Data Science and experience with Machine Learning/ Statistics. Data science experience in a Finance or Commercial setting is strongly preferred. Ability to connect and partner with various stakeholders (cross-functional) including senior executives to identify their needs and drive adoption of the solutions. Experience in managing compliance adherence, risk management and stakeholder commitments in large organizations Other: The position will be located in New Brunswick, NJ and may require up to 10% travel 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 & 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, external applicants please contact us via *******************/contact-us/careers . Internal employees contact AskGS to be directed to your accommodation resource. #JNJDataScience Required Skills: Data Pipelines, Machine Learning Algorithms, Statistics Preferred Skills: Erp Software, Finance, Global Finance, SAP Accounting The anticipated base pay range for this position is : The anticipated base pay range for this position is $147,000 to $169,050 USD 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)). This position is eligible to participate in the Company's long-term incentive program. 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. *********************************************

· Mine and translate data into meaningful insights and recommendations for the operational and strategic business units · Answer key business questions by using analytical & statistical techniques on data · Drive the collection of new data sources and the refinement of existing data sources · Analyze, interpret & communicate the results of experiments to the business units · Evaluate and modify statistical methodologies, techniques and processes · Work with cross-functional teams on the day-to-day execution of data & analytics projects and initiatives · Produce dynamic data driven analytic solutions to support the strategic goals of the company · Develop process improvements, analytical frameworks, share expertise with others, mentor and continually strive to improve overall contributions to the department Qualifications · A flexible analytic approach that allows for results at varying levels of precision · Strong background in statistical concepts including regression analysis, factoring, clustering, decision trees, A/B testing and experimental design · Experience with various data types (e.g. Relational, unstructured, Hierarchical, etc.) · The ability to communicate complex quantitative analysis in a clear, precise and actionable manner · Possess excellent verbal and written communication skills, attention to details, and the ability to multi-task · Work independently with minimal supervision · Be detail-oriented and comfortable with a fast-paced, structured, retail environment Additional Information Education/Certification: · A minimum Master's degree in Statistics, Applied Mathematics, Operations Research, Computer Science, Engineering, Economics or a related field Required Knowledge: · Expert knowledge of SAS and SQL · Expert knowledge of Advance Machine Learning (Deep learning) and Artificial Intelligence (AI) techniques and applications Experience Required: · 5 - 10 years professional experience in solving analytical problems using quantitative approaches All your information will be kept confidential according to EEO guidelines.

Title Senior Data Scientist - Insurance Analytics - NJ #2812 Company is seeking a Senior Data Scientist for Insurance Analytics. You will apply your highly developed analytical skills to work on all aspects of the insurance value chain, ranging from pricing models, fraud detection, process triaging, and financial risk models to a variety of other analytics solutions. You will also communicate with customers, external partners and internal departments, and hence will have the opportunity to get to know many carriers, vendors and data sources in the insurance industry. Independently executes data analysis and modeling projects from project/sample design, reception and processing of data, performing analyses and modeling to final reports/presentations, communication of results and sales support. Utilizes advanced statistical techniques to create high-performing predictive models and creative analyses to address business objectives and client needs. Provides technical sales support, which may include various analyses and the preparation and presentation of analytical results. Tests new statistical analysis methods, software and data sources for continual improvement of quantitative solutions. Creates clear and easy to understand reports and/or PowerPoint decks for client meetings or third party collaborations. Verbally presents analysis ideas, progress and results to internal managers, external partners and customers. Communicates with internal groups on data specifications and with IT engineers on model/algorithm implementation. Follows, and may create, detailed project plans to ensure projects are completed on time and within budget. Provides high quality ongoing customer/partner support; answering questions, resolving problems and building solutions. Assures compliance with regulatory and privacy requirements during design and implementation of modeling and analysis projects. Shares knowledge within the analytics group. Graduate-level degree with concentration in a quantitative discipline such as statistics computer science, mathematics, economics, or operations research. Strong verbal and written communications skills, listening and teamwork skills, and effective presentation skills. This is absolutely essential since you will have a lot of exposure to different internal groups (data, IT, product and sales) as well as third-party partners and customers (insurance companies). 3+ years of relevant work experience including 1 year of statistical modeling and data mining in a P&C insurance content (insurance company or insurance consulting firm) using large and complex datasets. Experience with personal lines rating plan modeling is a strong plus. Life or health insurance experience is a bonus. Expertise in statistical modeling techniques such as linear regression, logistic regression, GLM, tree models, cluster analysis, principal components, and feature creation, validation. Programming experience with SAS (STAT, macros, EM), R and other statistical software (CART, Emblem, SPSS, Matlab). Greenplum and UNIX experience is a plus. Detail-oriented technical aptitude with strong logical, problem solving, and decision-making skills. Excellent organization/planning skills and talent for managing many large and complex datasets. Aptitude in performing multiple tasks and dealing with changing deadline requirements. This includes knowing when to escalate issues. Maintains a focused, flexible, organized, and proactive manner. Proficiency in Microsoft Office (Excel, Word, PowerPoint). Bottom line requirements we need notes on with candidate submittal: 1. Graduate degree with concentration in a quantitative discipline. 2. 3+ years of relevant work experience including 1 year of statistical modeling and data mining in a Property and Casualty insurance context (insurance company or insurance consulting firm). 3. Expertise in statistical modeling techniques such as linear regression, logistic regression, GLM, tree models, cluster analysis, principal components, and feature creation, validation. 4. Programming experience with SAS (STAT, macros, EM), R and other statistical software (CART, Emblem, SPSS, Matlab). Greenplum and UNIX experience is a plus. Additional Information All your information will be kept confidential according to EEO guidelines.

Imperial Dade is the leading independently owned and operated distributor of foodservice packaging and janitorial supplies in North America. As a provider of customized supply chain solutions, we serve customers in many business-to-business market segments, including restaurants, grocery stores, healthcare, sports and entertainment, and cruise lines. Founded in 1935 and headquartered in New Jersey, Imperial Dade serves as a mission-critical partner to more than 120,000 customers through our footprint of 130+ branches. All correspondence will come directly from Imperial Dade and not a personal email address. Imperial Dade, a leading North American distributor, has a Senior Digital Data Scientist role available in Jersey City, NJ or Miami, FL, Texas or other Central or East Coast Time Zones! We are seeking an innovative and digitally focused Senior Data Scientist to accelerate our digital transformation journey in Jersey City, NJ. In this strategic role, you will be at the forefront of leveraging data science and advanced analytics to drive digital product innovation, optimize digital experiences, and inform digital strategy across the organization. You will collaborate closely with digital product, marketing, and technology teams to unlock the value of our data, enhance digital customer journeys, and fuel our growth as a digital-first organization. This is an exciting opportunity for a data science leader who is passionate about shaping the future of digital business through data-driven insights and solutions. This position is from Monday through Friday, from 8:00 am to 5:00 pm. Salary Range: 135,000 to 160,000 + bonus Location variable: The listed salary range is based on the Jersey City, NJ market. Compensation for candidates in other areas will be competitively adjusted to reflect the local market. You will: * Partner with digital product managers and UX teams to analyze user behavior, identify friction points, and recommend enhancements for web and mobile platforms based on transaction and behavioral data. * Build, deploy, and monitor machine learning models that personalize digital experiences, optimize recommendations, and improve digital engagement. * Analyze digital marketing campaigns, A/B test new features, and measure the effectiveness of digital initiatives to maximize ROI. * Develop and maintain dashboards and reporting frameworks that provide real-time insights into digital KPIs, customer journeys, and conversion funnels. * Synthesize data from multiple digital touchpoints (web, app, Sales Portal, CRM, social, e-commerce) to deliver holistic, actionable insights. * Collaborate with business leaders to define and track digital success metrics, supporting strategic decision-making and digital roadmaps. * Evaluate and implement new digital analytics tools and platforms to enhance our capabilities. You have: * 4+ years of experience in data science or advanced analytics, with a strong focus on digital products, digital marketing, or digital transformation. * Master's or PhD in Data Science, Computer Science, Statistics, or a related field preferred. * Proficiency in SQL, Python, & R, and experience with digital analytics tools (Google Analytics, Mixpanel, etc.). * Extensive hands-on experience with Google Tag Manager (GTM) * Deep understanding of digital customer journeys, UX analytics, visualization skills (Power BI, or similar), with the ability to communicate digital insights to diverse audiences. * Experience in machine learning for digital applications, e-commerce, SaaS, or digital product environments (AWS, Azure, GCP) and big data frameworks (Spark, Databricks). * Background in digital experimentation, CRO (conversion rate optimization) experience using Customer Lifetime Value models to identify growth drivers

Title: Senior Data Scientist for a Stanford Startup Full Time Job Requirements: A minimum of three years of experience working as a data scientist Experience in working with large data sets Strong experience in machine learning Highly conversant with Bayesian type algorithms, KNN, Neural Networks, SVM, etc Experienced in applying data science techniques on multiple industries and exposure to their sets is necessary Data cleanup, and data massaging experience Hands-on experience with R or Python type languages Any experience in doing well at Kaggle type competitions is a big plus Additional Information All your information will be kept confidential according to EEO guidelines.

About CooperSurgical CooperSurgical is a leading fertility and women's healthcare company dedicated to putting time on the side of women, babies, and families at the healthcare moments that matter most in life. As a division of CooperCompanies, we're driven by a unified purpose to enable patients to experience life's beautiful moments. Guided by our shared values - dedicated, innovative, friendly, partners, and do the right thing - our offerings support patients throughout their lifetimes, from contraception to fertility and birth solutions, to women's and family care, and beyond. We currently offer over 600 clinically relevant medical devices to healthcare providers, including testing and treatment options, as well as an innovative suite of assisted reproductive technology and genomic testing solutions. Learn more at ********************** . Work location: Trumbull, CT or Livingston, NJ (on-site) Scope: The Senior Data Scientist - Supply Chain is responsible for designing, operating, and continuously improving enterprise-scale demand forecasting models that directly support global supply chain planning, inventory optimization, and operational decision-making. The role impacts annual revenue planning and inventory investment decisions across multiple product lines and regions, influencing service levels, working capital, and operational efficiency. This position works cross-functionally with Supply Chain, Operations, Demand Planning, Finance, IT, and Analytics teams across regions and manufacturing or distribution sites. External interaction may include technology vendors, data platform providers, and consulting partners related to forecasting tools, cloud platforms, and ERP integrations. Job Summary: The Senior Data Scientist - Supply Chain exists to own, enhance, and scale advanced demand forecasting capabilities that support supply chain operations and strategic planning. This role is responsible for running a large, complex forecasting model, improving its accuracy and robustness, and leading the automation of the end-to-end forecasting pipeline within the Snowflake data platform. The position combines deep technical expertise in Python, machine learning, and data engineering with strong supply chain domain knowledge. The role requires the ability to work effectively with incomplete, messy, and evolving data while partnering closely with non-technical stakeholders to translate analytical insights into operational impact.

Role : Senior Data Scientist Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications. As we continue to grow, we're looking for a skilled to join our dynamic team and contribute to our mission of transforming business processes through technology. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title: Senior Data Scientist Job Location: Bridgewater, New Jersey - 08807 Onsite/Hybrid: Remote Job Description: We are seeking a highly experienced Senior Data Scientist to lead advanced analytics, machine learning, and AI initiatives across enterprise-scale projects. The ideal candidate will have deep expertise in statistical modeling, big data processing, and cloud-native ML platforms, with the ability to translate complex data into actionable business strategies. Key Responsibilities Data Strategy & Leadership Define and drive data science roadmaps aligned with business goals. Lead end-to-end ML/AI projects from data collection to deployment. Mentor junior data scientists and analysts, fostering a culture of innovation. Advanced Analytics & Modeling Develop predictive and prescriptive models using regression, classification, clustering, and deep learning. Apply NLP, computer vision, and recommendation systems to solve business problems. Conduct A/B testing, causal inference, and experiment design Big Data & Cloud Platforms Work with distributed data frameworks (Spark, Hadoop, Databricks). Build scalable ML pipelines on Azure ML, AWS SageMaker, or Google Vertex AI. Integrate models into production using MLOps practices. Programming & Tools Expert in Python, R, and SQL; familiarity with Scala or Julia. Proficiency in ML libraries (TensorFlow, PyTorch, Scikit-learn, XGBoost). Strong experience with data visualization tools (Power BI, Tableau, Matplotlib, Seaborn). Data Engineering Collaboration Partner with data engineers to design robust ETL pipelines. Ensure data quality, governance, and lineage across systems. Work with structured, semi-structured, and unstructured data sources. Business Impact Translate technical findings into clear business insights. Present results to executives and stakeholders using storytelling and visualization. Drive adoption of AI/ML solutions across departments. Required Skills & Qualifications Education: Master's/PhD in Computer Science, Statistics, Mathematics, Data Science, or related field. Experience: 7+ years in data science, machine learning, or AI roles. Technical Expertise: Advanced statistical modeling and machine learning. Strong coding skills in Python, R, SQL. Experience with big data tools (Spark, Hadoop, Databricks). Cloud ML platforms (Azure ML, AWS SageMaker, GCP Vertex AI). Data visualization and BI tools. Soft Skills: Strong analytical and problem-solving mindset. Excellent communication and stakeholder management. Ability to lead projects and mentor teams. Certifications Core / Must-Have Microsoft Certified: Azure Data Scientist Associate (DP-100) AWS Certified Machine Learning - Specialty Google Professional Machine Learning Engineer Preferred Advanced Certifications TensorFlow Developer Certificate Databricks Certified Machine Learning Professional SAS Certified AI & Machine Learning Professional Education Bachelor's or Master's degree in Computer Science, Engineering, or related field Visa & Compliance Candidates must be eligible for new H-1B filing OPT, STEM OPT, CPT (with required experience), H-1B transfer, All filings will be handled as per USCIS and DOL compliance guidelines Why Join Us Opportunity to work with leading enterprise clients Transparent H-1B process and long-term project visibility Strong recruiter and legal support Career growth across multiple technology domains we are committed to providing equal employment opportunities and fostering an inclusive work environment. We encourage applications from all qualified individuals regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or any other protected status. If you require accommodations during the recruitment process, please let us know. Position offered by “No Fee agency.” Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment. Powered by JazzHR yCVqlaYXDC

About US: We are a company that provides innovative, transformative IT services and solutions. We are passionate about helping our clients achieve their goals and exceed their expectations. We strive to provide the best possible experience for our clients and employees. We are committed to continuous improvement and innovation, and we are always looking for ways to improve our services and solutions. We believe in working collaboratively with our clients and employees to achieve success. DS Technologies Inc is looking for Senior AI Architect / Data Scientist role for one of our premier clients. Job Title: Senior AI Architect / Data ScientistLocation: Raritan / New Brunswick, NJ, USA (Onsite) Position Type: Contract Only W2 Overview: We are seeking an Onshore Senior AI Architect / Data Scientist to design and scale intelligent, multi-modal AI solutions on the Databricks platform, leveraging Generative AI (GenAI) and modern orchestration frameworks. The role requires strong hands-on Databricks expertise, GenAI integration skills, and architecture-level design thinking. The selected candidate will play a critical role in architecting and expanding next-generation intelligence solutions across multiple use cases under the Global Brand Protection program. Core Use Cases: Columbo: Natural Language to SQL search over Databricks data, including fuzzy matching and unstructured text handling Sales Anomaly Detection: Isolation Forest-based anomaly detection on sales data Counterfeit Image Detection: Vision Transformer (ViT)-based image authenticity classification Key Responsibilities: Provide technical leadership across AI architecture, model integration, and solution delivery Architect end-to-end AI pipelines using Databricks (Delta Lake, Unity Catalog, MLflow, Model Serving) Integrate GenAI platforms (Mosaic AI, Genie, Azure OpenAI) and orchestrate them via an MCP Server for NL-to-SQL and conversational intelligence Implement governed, cost-optimized MLOps pipelines with retraining, lineage, and observability Build multi-agent architectures combining text, tabular, and image models Enforce role-based security and governance using Unity Catalog Collaborate with UI (React) teams to integrate model outputs into Databricks web applications Lead feedback-driven model improvements and mentor cross-functional teams Core Skills: Databricks Platform: SQL Warehouse, Unity Catalog, MLflow, Model Serving, OCR GenAI Tools: Mosaic AI, Genie, Azure OpenAI, LangChain, Vector Search, MCP Server for tool orchestration and context management Machine Learning: Isolation Forest, PSI/KSI drift detection, model retraining Computer Vision: Vision Transformers (ViT), Grad-CAM, explainability techniques Data Engineering: Apache Spark, Python, Delta Lake, REST APIs Governance & Security: RBAC, data lineage, masking, compliance policies Soft Skills: Architecture design, stakeholder alignment, strong communication Preferred Profile: 8+ years of experience in AI/ML or Data Science 3+ years of hands-on experience with Databricks Proven experience with LLM-driven architectures (RAG, NL-to-SQL) Strong ability to design scalable, multi-modal, and cost-efficient AI systems Familiarity with A2A protocols and Databricks Mosaic AI / Genie Experience deploying MCP Server to orchestrate multi-agent GenAI tool access Compensation: $60.00 per hour We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Sonsoft , Inc. is a USA based corporation duly organized under the laws of the Commonwealth of Georgia. Sonsoft Inc. is growing at a steady pace specializing in the fields of Software Development, Software Consultancy and Information Technology Enabled Services. Job Description Required Skills: Overall Responsibilities: • 10 to 15 years of experience with PhD or MS. • Hands on experience on machine learning algorithms (Neural Networks, Support Vector Machines, Random Forest, logistic regression, clustering, classification, Naive Bayes, association rules, Collaborative Filtering, recommendation techniques, pattern recognition etc.) Qualifications • Strong experience in Text Mining, NLP - Natural Language Processing • Hands on experience on model development lifecycle • Strong hands on experience on R, Python, IBM SPSS • Excellent communication skills and ability to express the statistical model output properly to senior management • Logistics experience desired - shipment processing • Cognitive computing desirable Additional Information ** U.S. citizens and those who are authorized to work independently in the United States are encourage to apply. We are unable to sponsor at this time. Note:- This is a Contract job opportunity. Only US Citizen, Green Card Holder, GC-EAD, H4-EAD, L2-EAD, H1B and TN Visa can apply. No OPT-EAD candidates please. Please mention your Immigration Status while applying . All your information will be kept confidential according to EEO guidelines.

**_What Data Science contributes to Cardinal Health_** The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we are pushing the boundaries of healthcare with cutting-edge Data Science and Artificial Intelligence (AI). Our mission is to leverage the power of data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the overall healthcare experience. We are seeking a highly motivated and experienced Senior Data Scientist to join our team as a thought leader and architect of our AI strategy. You will play a critical role in fulfilling our vision through delivery of impactful solutions that drive real-world change. **_Responsibilities_** + Lead the Development of Innovative AI solutions: Be responsible for designing, implementing, and scaling sophisticated AI solutions that address key business challenges within the healthcare industry by leveraging your expertise in areas such as Machine Learning, Generative AI, and RAG Technologies. + Develop advanced ML models for forecasting, classification, risk prediction, and other critical applications. + Explore and leverage the latest Generative AI (GenAI) technologies, including Large Language Models (LLMs), for applications like summarization, generation, classification and extraction. + Build robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with vast repositories of healthcare and business data, ensuring accurate and relevant outputs. + Shape Our AI Strategy: Work closely with key stakeholders across the organization to understand their needs and translate them into actionable AI-driven or AI-powered solutions. + Act as a champion for AI within Cardinal Health, influencing the direction of our technology roadmap and ensuring alignment with our overall business objectives. + Guide and mentor a team of Data Scientists and ML Engineers by providing technical guidance, mentorship, and support to a team of skilled and geographically distributed data scientists, while fostering a collaborative and innovative environment that encourages continuous learning and growth. + Embrace a AI-Driven Culture: foster a culture of data-driven decision-making, promoting the use of AI insights to drive business outcomes and improve customer experience and patient care. **_Qualifications_** + 8-12 years of experience with a minimum of 4 years of experience in data science, with a strong track record of success in developing and deploying complex AI/ML solutions, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases, along with evaluating retrievals from RAGs and GenAI models without ground truth + Experience working with building production ready Generative AI Applications involving RAGs, LLM, vector databases and embeddings model. + Extensive knowledge of healthcare data, including clinical data, patient demographics, and claims data. Understanding of HIPAA and other relevant regulations, preferred. + Experience working with cloud platforms like Google Cloud Platform (GCP) for data processing, model training, evaluation, monitoring, deployment and support preferred. + Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences preferred. + Proficiency in Python, statistical programming languages, machine learning libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools preferred. + Experience in Cloud Functions, VertexAI, MLFlow, Storage Buckets, IAM Principles and Service Accounts preferred. + Experience in building end-to-end ML pipelines, from data ingestion and feature engineering to model training, deployment, and scaling preferred. + Experience in building and implementing CI/CD pipelines for ML models and other solutions, ensuring seamless integration and deployment in production environments preferred. + Familiarity with RESTful API design and implementation, including building robust APIs to integrate your ML models and GenAI solutions with existing systems preferred. + Working understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with an emphasis on ML/GenAI implementations preferred. + Experience working in Agile development environments, including Scrum or Kanban, and a strong understanding of Agile principles and practices preferred. + Familiarity with DevSecOps principles and practices, incorporating coding standards and security considerations into all stages of the development lifecycle preferred. **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $121,600 - $173,700 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 11/05/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

As a Data Science Lead in Digital & Platform Services (D&PS), you will lead the charge in developing innovative AI solutions that propel our business forward. Your work will directly impact our ability to provide exceptional service to clients by delivering cutting-edge technology solutions. You will work closely with software engineers, business stakeholders, and AI practitioners to deliver transformative solutions that enable our business to scale and thrive. We are seeking a technical leader who is passionate about leveraging data and artificial intelligence to drive meaningful, real-world change. You will be integral to the newly established Client Relationship Management (CRM) Transformation Program, known as Client360. Job Responsibilities:- Lead the formulation and development of AI solutions to tackle complex challenges in Client360, ensuring alignment with business objectives. Oversee the design, development, and deployment of robust, scalable, and reusable machine learning models and systems that deliver measurable business impact. Actively contribute to coding efforts, ensuring high technical standards and best practices are maintained across all projects. Collaborate with engineering and business teams to seamlessly integrate AI services into strategic systems and processes, enhancing operational efficiency. Work with business partners to redefine processes and controls for an AI-first business, driving innovation and efficiency. Establish comprehensive evaluation frameworks to assess model performance and drive continuous improvement in alignment with business goals. Deepen your understanding of the Client Relationship Management to identify opportunities for AI-driven innovation and deliver practical, impactful solutions. Inspire other AI practitioners, fostering a culture of excellence, innovation, and continuous learning. Required Qualifications, Experience, and Skills:- Advanced degree qualification in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related highly quantitative field. Extensive experience in high-performing AI or data science teams. Deep understanding of fundamental machine learning approaches and practical experience with statistical data analysis and experimental design. Proven track record of developing and deploying data science and ML capabilities in production at scale. Strong experience with Python programming and common ML frameworks (e.g., PyTorch, Pandas, NumPy). Exceptional verbal and written communication skills, with the ability to convey complex technical concepts to diverse audiences. Demonstrated ability to work effectively on multi-disciplinary teams with diverse backgrounds. Preferred qualifications, capabilities, and skills:- Demonstrated prior experience working in a highly matrixed, complex organization. Extensive experience in data platform management, CRM systems, or related fields within a financial institution. Master's or PhD qualification in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related highly quantitative field. Clear experience in working with technologists and product teams.

Job Title: Data Scientist Design, size, and analyze field experiments at scale. Apply econometric or statistical knowledge to improve data modeling and features extraction. Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance. Analyze historical data to identify trends and support decision making. Given anomalies, whether anecdotal or identified automatically, deep dive to explain why they happen, and identify fixes. Build decision-making models and propose solution for the business problem defined. Implement models based on findings in production back-end systems. Analyze A/B tests and recommend ways to making them faster and more robust. Conduct written and verbal presentation to share insights and recommendations to audiences of varying levels of technical sophistication. Utilize codes for data analyzing and modeling algorithm. Job Requirements: Require Master's Degree or Foreign Equivalent in Engineering (any), Information Technology, Computer Information Systems, Management Information systems or related field. Require two (2) years of experience as Technical Architect, Principal Architect, Director Technology, Software Consultant or related using Python, Kubernetes, Github. Require travel/relocation to various unanticipated locations throughout the United States. Salary: The base pay range for this role is between $141,170.00 and $145,000.00 annually, and your base pay will depend on your qualifications, experience and location. To apply, mail or email resumes to: Annmarie Hardie, Associate Director, Legal & Immigration Attn: Job ID: DS-072988 Xoriant Corporation 1248 Reamwood Avenue Sunnyvale, CA 94089 ******************* * Xoriant is an equal opportunity employer. No person shall be excluded from consideration for employment because of race, ethnicity, religion, caste, gender, gender identity, sexual orientation, marital status, national origin, age, disability or veteran status.

About Summit: Summit Therapeutics Inc. is a biopharmaceutical oncology company with a mission focused on improving quality of life, increasing potential duration of life, and resolving serious unmet medical needs. At Summit, we believe in building a team of world class professionals who are passionate about this mission, and it is our people who drive this mission to reality. Summit s core values include integrity, passion for excellence, purposeful urgency, collaboration, and our commitment to people. Our employees are truly the heart and soul of our culture, and they are invaluable in shaping our journey toward excellence. Summit s team is inspired to touch and help change lives through Summit s clinical studies in the field of oncology. Summit has multiple global Phase 3 clinical studies, including: Non-small Cell Lung Cancer (NSCLC) HARMONi: Phase 3 clinical study which was intended to evaluate ivonescimab combined with chemotherapy compared to placebo plus chemotherapy in patients with EGFR-mutated, locally advanced or metastatic non-squamous NSCLC who were previously treated with a 3rd generation EGFR TKI. HARMONi-3: Phase 3 clinical study which is intended to evaluate ivonescimab combined with chemotherapy compared to pembrolizumab combined with chemotherapy in patients with first-line metastatic NSCLC. HARMONi-7: Phase 3 clinical study which is intended to evaluate ivonescimab monotherapy compared to pembrolizumab monotherapy in patients with first-line metastatic NSCLC. Colorectal Cancer (CRC) HARMONi-GI3: Phase 3 clinical study intended to evaluate ivonescimab in combination with chemotherapy compared with bevacizumab plus chemotherapy. Ivonescimab is an investigational therapy not presently approved by any regulatory authority other than China s National Medical Products Administration (NMPA). Summit is headquartered in Miami, Florida, and has additional offices in California, New Jersey, the UK, and Ireland. Overview of Role: The Senior Manager, Data Scientist role is part of the Commercial Operations team supporting the U.S. Business Unit which includes, but is not limited to, Sales, Marketing, and Market Access. This team enables key business functions and strategic initiatives through data integration, reporting, and advanced analytics. This position provides a unique opportunity for broad exposure across the U.S. commercial organization by contributing to the development of advanced analytics solutions. A core focus of the role will involve executing analytics on a variety of data sources including patient claims, EDI shipment data, and unstructured datasets as well as supporting future machine learning initiatives. Role and Responsibilities: Design and implement advanced analytical models (e.g., predictive modeling, segmentation, optimization, machine learning) using diverse datasets such as claims, outlet-level sales data, EDI, hub data, real-world data (RWD), specialty pharmacy/distributor data, EMR, and internal commercial datasets. Develop and validate algorithms to identify patient journeys, adherence patterns, and treatment pathways. Contribute to an evolving data science practice, including problem framing, data exploration and preparation, data integration, machine learning model development, and production. Create scoring frameworks (e.g., HCP opportunity models, payer access risk scores, patient conversion likelihood). Build statistical and machine learning models for both proof-of-concept and production environments using Python, R, and SQL. Partner with stakeholders across the U.S. commercial teams to translate business needs into data-driven and machine learning solutions. Communicate advantages, limitations, and implications of analytical approaches to non-technical audiences. Share technical insights and solutions through design reviews, pair programming, code/model reviews, and team knowledge-sharing sessions. Conduct exploratory analysis of new datasets, generate descriptive statistics, identify trends and insights, and propose data engineering opportunities for integration. Utilize one or more commercial or open-source analysis platforms daily (e.g., Jupyter Notebook, RStudio, Posit, Microsoft Azure, Neo4j). All other duties as assigned. Experience, Education and Specialized Knowledge and Skills: Experience in biotech, pharmaceuticals, or life sciences required Bachelor s degree in Data Science, Computer Science, Mathematics, or a related field required; advanced degree preferred. Minimum 5+ years of relevant experience with a bachelor s degree, or 3+ years with a master s degree, contributing to or executing data science projects. Industry experience in customer behavior prediction, customer journey analytics, marketing analytics, or social network analysis is preferred. Demonstrated proficiency in Python and/or R. Strong SQL skills with hands-on experience working with relational databases; experience with graph databases and Cypher is a plus. Familiarity with machine learning and statistical modeling techniques Strong communication and cross-functional collaboration skills Experience developing solutions using text analytics, customer journey analytics, marketing analytics, or recommendation engines. Proven ability to explain statistical and machine learning concepts to business stakeholders in clear and meaningful terms. Knowledge of statistical and data mining techniques such as hierarchical clustering, network analysis, regression, random forests, text mining, NLP, and data visualization. The pay range for this role is $153,000-$180,000 annually. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include bonus, stock, benefits and/or other applicable variable compensation. Summit does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact Summit s Talent Acquisition team at ********************* to obtain prior written authorization before referring any candidates to Summit.

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: New Brunswick, New Jersey, United States of America Job Description: We are searching for the best talent for Senior Data Scientist: Forecasting, BI to be in New Brunswick, NJ. About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at *******************/innovative-medicine Purpose: As a Senior Data Scientist in Global Finance Data Science Team: You will be responsible for delivering data science production processes to a high standard, contributing to products that are consumed and scrutinized by senior leadership. You will work in a global team of Data Scientists, Data Engineers and Machine Learning Engineers to advance data science/AI roadmap for J&J's Global Finance function. You will help deliver value-added insights and analytics to our finance and business leaders, reduce manual workload through automation, and enhance user-experience. Project focus area will also include Predictive Sales Forecasting as part of SAP Analytics Cloud reporting capability, taking it from PoC to Production-grade standards. This includes aligning finance and business needs, input data validations from different source systems, data reconciliation/validations and work on other ongoing enhancements/ad-hoc requests from leadership etc. You will help in data science projects across their lifecycle: Design/ proof-of-concept (PoC), development, data pipelines and engineering, deployment, adoption by end-users and ongoing enhancements. The capabilities developed will include predictive financial forecasting, Gen AI, descriptive analytics, data visualization and decision support. You will need to ensure that PoC's are put into production-grade with correct amount of automation, data validations and systems/process integration. This role will involve understanding the needs of business stakeholders and advocating the merits of data-driven analytics to provide viable solutions. You will be responsible for: Adopting a highly successful forecasting process and technologies to deliver a monthly sales financial forecast for consumption by senior leaders Assessing BI sources to understand the impact of future events on forecast accuracy, developing judgement on how to adjust forecasts. Adjust data engineering pipelines for large datasets from finance/ERP systems and automate data science processes. Iteratively improve the process and models to solve problems, testing and documenting changes, aligning changes within the team. Develop and deploy data science and AI solutions, including data processing, algorithm development, data visualization, and communication of insights to stakeholders. Research and implement statistical and machine learning models, monitor model performance, and continuously improve existing models. Collaborate with finance, commercial leaders, technology teams, and external partners to deliver end-to-end solutions, ensuring compliance and risk management. Advocate for data-driven insights and data science methods across the organization and managing compliance adherence. Qualifications / Requirements: Qualifications: Minimum of 5 years of Data Science/ AI experience in an industry setting is required, preferably in a Finance or Healthcare setting. Minimum of a Bachelors degree is required, preferably in Science, Economics, Business Analytics, Data Science, Finance, Computer Science, Engineering or any other quantitative or STEM discipline. Master's degree in a relevant field is preferred. Technical Requirements Proficient in Python/R/Alteryx programming and experienced with Data Science Cloud platforms like AWS, Azure, and Domino. Experienced using finance data and SAP HANA data tables is an advantage. Proficient in interpreting BI sources and understanding the impact of these on finance metrics. Able to work independently and under time pressure to deliver a process, investigating and solving data issues in an explainable way. Skilled in data visualization and dashboarding using Tableau or PowerBI. Knowledgeable in advanced statistical techniques and concepts, such as regression, properties of distributions, and statistical tests. Proficient in end-to-end production deployment, from concept to production-grade models, and experienced with Gen AI technologies like AWS Bedrock, Azure OpenAI service, and Joule. Familiar with automated workflow tools like Alteryx and workflow orchestration tools like Airflow, as well as standards and best practices for technical documentation using tools like JIRA and Confluence. Strong data analytics skills, attention to detail with business/finance logics, and experience working across multiple levels of stakeholders to create context around key business drivers. Other: The position will be located in New Brunswick, NJ and may require up to 10% travel. 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 & 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, external applicants please contact us via *******************/contact-us/careers . Internal employees contact AskGS to be directed to your accommodation resource. #JNJDataScience Required Skills: Data Science Preferred Skills: Alteryx, Healthcare Industry, Microsoft Power Business Intelligence (BI) Data Visualization, Python (Programming Language), R Programming, SAP HANA, Tableau Dashboard Development The anticipated base pay range for this position is : The anticipated base pay range for this position is $147,000 to $169,050 USD 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)). This position is eligible to participate in the Company's long-term incentive program. 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. *********************************************

· Mine and translate data into meaningful insights and recommendations for the operational and strategic business units · Answer key business questions by using analytical & statistical techniques on data · Drive the collection of new data sources and the refinement of existing data sources · Analyze, interpret & communicate the results of experiments to the business units · Evaluate and modify statistical methodologies, techniques and processes · Work with cross-functional teams on the day-to-day execution of data & analytics projects and initiatives · Produce dynamic data driven analytic solutions to support the strategic goals of the company · Develop process improvements, analytical frameworks, share expertise with others, mentor and continually strive to improve overall contributions to the department Qualifications · A flexible analytic approach that allows for results at varying levels of precision · Strong background in statistical concepts including regression analysis, factoring, clustering, decision trees, A/B testing and experimental design · Experience with various data types (e.g. Relational, unstructured, Hierarchical, etc.) · The ability to communicate complex quantitative analysis in a clear, precise and actionable manner · Possess excellent verbal and written communication skills, attention to details, and the ability to multi-task · Work independently with minimal supervision · Be detail-oriented and comfortable with a fast-paced, structured, retail environment Additional Information Education/Certification: · A minimum Master's degree in Statistics, Applied Mathematics, Operations Research, Computer Science, Engineering, Economics or a related field Required Knowledge: · Expert knowledge of SAS and SQL · Expert knowledge of Advance Machine Learning (Deep learning) and Artificial Intelligence (AI) techniques and applications Experience Required: · 5 - 10 years professional experience in solving analytical problems using quantitative approaches All your information will be kept confidential according to EEO guidelines.

SRP is a big data startup company located in Princeton, NJ focused on Dynamic Pricing, run by seasoned alumni from Stanford University and Wharton (UPenn). Job Description Title: Senior Data Scientist for a Startup Location: Princeton, NJ Full Time Job Requirements: A minimum of three years of experience working as a data scientist Experience in working with large data sets Strong experience in machine learning Highly conversant with Bayesian type algorithms, KNN, Neural Networks, SVM, etc Experienced in applying data science techniques on multiple industries and exposure to their sets is necessary Data cleanup, and data massaging experience Hands-on experience with Python / R type languages Any experience in doing well at Kaggle type competitions is a big plus PhD is a big plus Additional Information This is a Full time project

At Navista, our mission is to empower community oncology practices to deliver patient-centered cancer care. Navista, a Cardinal Health company, is an oncology practice alliance co-created with oncologists and practice leaders that offers advanced support services and technology to help practices remain independent and thrive. True to our name, our experienced team is passionate about helping oncology practices navigate the future. We are seeking an innovative and highly skilled **Senior Data Scientist** with specialized expertise in Generative AI (GenAI), Large Language Models (LLMs), and Agentic Systems to join the Navista - Data & Advanced Analytics team supporting the growth of our Navista Application Suite and the Integrated Oncology Network (IoN). In this critical role, you will be at the forefront of designing, developing, and deploying advanced AI solutions that leverage the power of generative models and intelligent agents to transform our products and operations. You will be responsible for pushing the boundaries of what's possible, from foundational research to production-ready applications, working with diverse datasets and complex problem spaces, particularly within the oncology domain. The ideal candidate will possess a deep theoretical understanding and practical experience in building, fine-tuning, and deploying LLMs, as well as architecting and implementing agentic frameworks. You will play a key role in shaping our AI strategy, mentoring junior team members, and collaborating with cross-functional engineering and product teams to bring groundbreaking AI capabilities to life, including developing predictive models from complex, often unstructured, oncology data. **_Responsibilities_** + **Research & Development:** Lead the research, design, and development of novel Generative AI models and algorithms, including but not limited to LLMs, diffusion models, GANs, and VAEs, to address complex business challenges. + **LLM Expertise:** Architect, fine-tune, and deploy Large Language Models for various applications such as natural language understanding, generation, summarization, question-answering, and code generation, with a focus on extracting insights from unstructured clinical and research data. + **Agentic Systems Design:** Design and implement intelligent agentic systems capable of autonomous decision-making, planning, reasoning, and interaction within complex environments, leveraging LLMs as core components. + **Predictive Modeling:** Develop and deploy advanced predictive models and capabilities using both structured and unstructured data, particularly within the oncology space, to forecast outcomes, identify trends, and support clinical or commercial decision-making. + **Prompt Engineering & Optimization:** Develop advanced prompt engineering strategies and techniques to maximize the performance and reliability of LLM-based applications. + **Data Strategy for GenAI:** Work with data engineers to define and implement data collection, preprocessing, and augmentation strategies specifically tailored for training and fine-tuning generative models and LLMs, including techniques for handling and enriching unstructured oncology data (e.g., clinical notes, pathology reports). + **Model Evaluation & Deployment:** Develop robust evaluation metrics and methodologies for generative models, agentic systems, and predictive models. Oversee the deployment, monitoring, and continuous improvement of these models in production environments. + **Collaboration & Leadership:** Collaborate closely with machine learning engineers, software engineers, and product managers to integrate AI solutions into our products. Provide technical leadership and mentorship to junior data scientists. + **Innovation & Thought Leadership:** Stay abreast of the latest advancements in GenAI, LLMs, and agentic AI research. Proactively identify new opportunities and technologies that can enhance our capabilities and competitive advantage. + **Ethical AI:** Ensure the responsible and ethical development and deployment of AI systems, addressing potential biases, fairness, and transparency concerns. **_Qualifications_** + 8-12 years of experience as a Data Scientist or Machine Learning Engineer, with a significant focus on deep learning and natural language processing, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + Proven hands-on experience with Generative AI models (e.g., Transformers, GANs, VAEs, Diffusion Models) and their applications. + Extensive experience working with Large Language Models (LLMs), including fine-tuning, prompt engineering, RAG (Retrieval Augmented Generation), and understanding various architectures (e.g., GPT, Llama, BERT, T5). + Demonstrated experience in designing, building, and deploying agentic systems or multi-agent systems, including concepts like planning, reasoning, and tool use. + Strong experience working with unstructured data, particularly in the oncology domain (e.g., clinical notes, pathology reports, genomic data, imaging reports), and extracting meaningful features for analysis. + Demonstrated ability to create and deploy predictive capabilities and models from complex datasets, including those with unstructured components. + Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. + Experience with relevant libraries and tools (e.g., Hugging Face Transformers, LangChain, LlamaIndex). + Strong understanding of machine learning fundamentals, statistical modeling, and experimental design. + Experience with at least one cloud platforms ( GCP, Azure) for training and deploying large-scale AI models. + Excellent problem-solving skills, with the ability to tackle complex, ambiguous problems and drive solutions. + Strong communication and presentation skills, capable of explaining comp + Experience in the healthcare or life sciences industry, specifically with oncology data and research, highly preferred + Experience with MLOps practices for deploying and managing large-scale AI models, highly preferred + Familiarity with distributed computing frameworks (e.g., Spark, Dask), highly preferred + Experience contributing to open-source AI projects, highly preferred **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $123,400 - $176,300 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 02/15/2026 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

The Risk Management & Compliance Technology Machine Learning team at JPMorgan Chase focuses on solving challenging business problems such as Anti-Money Laundering and Surveillance through data science and machine learning techniques across Risk, Compliance, Conduct and Operational Risk. As an Applied AI ML Lead on the team, you will have the opportunity to study complex business problems, propose appropriate solutions, and apply your expertise in advanced AI/ML algorithms to develop, test, and evaluate solutions for those problems. You will work with the firm's rich data pool from both internal and external sources using Python/Spark via AWS and other systems. You are expected to own the lifecycle of a defined project and work with other team members to drive delivery of impactful results. You are also expected to derive business insights from technical results and significantly contribute to discussions with our business stakeholders and partners. As a senior member on the team, you will also serve as a mentor to junior data scientists to foster a collaborative working environment. Job responsibilities Actively develop thorough understanding of complex business problems and processes; discover opportunities for AI and ML solutions. Collaborate with business partners to drive data-led transformations of the businesses. Own machine learning development lifecycle activities and execute on crucial timelines and milestones. Lead tasks throughout a model development process including data wrangling/analysis, model training, testing, and selection. Generate structured and meaningful insights from data analysis and modelling exercise and present them in appropriate format according to the audience. Provide mentorship and oversight for junior data scientists to build a collaborative working culture. Partner with machine learning engineers to deploy machine learning solutions. Own key model maintenance tasks and lead remediation actions as needed. Stay informed about the latest trends in the AI/ML/LLM/GenAI research and operate with a continuous-improvement mindset. Required qualifications, capabilities, and skills Advanced degree (MS, PhD) in a quantitative field (e.g., Data Science, Computer Science, Applied Mathematics, Statistics, Econometrics). At least 5 years of relevant experience in applied AI/ML domain. In-depth expertise and extensive experience with ML projects, both supervised and unsupervised. Strong programming skills with Python, R, or other equivalent languages. Proficient in working with large datasets and handling complex data issues. Experience with broad range of analytical toolkits, such as SQL, Spark, Scikit-Learn, XGBoost, graph analytics, and neural nets. Excellent solution ideation, problem solving, communication (verbal and written), and teamwork skills. Preferred qualifications, capabilities, and skills Familiarity with machine learning engineering and developing/implementing machine learning models within AWS or other cloud platforms. Familiarity with the financial services industry.