Senior data scientist jobs in Hamilton, NJ - 315 jobs

🚀 Junior Data Engineer 📝 E-Verified | Visa Sponsorship Available 🔍 About Us: BeaconFire, based in Central NJ, is a fast-growing company specializing in Software Development, Web Development, and Business Intelligence. We're looking for self-motivated and strong communicators to join our team as a Junior Data Engineer! If you're passionate about data and eager to learn, this is your opportunity to grow in a collaborative and innovative environment. 🌟 🎓 Qualifications We're Looking For: Passion for data and a strong desire to learn and grow. Master's Degree in Computer Science, Information Technology, Data Analytics, Data Science, or a related field. Intermediate Python skills (Experience with NumPy, Pandas, etc. is a plus!) Experience with relational databases like SQL Server, Oracle, or MySQL. Strong written and verbal communication skills. Ability to work independently and collaboratively within a team. 🛠️ Your Responsibilities: Collaborate with analytics teams to deliver reliable, scalable data solutions. Design and implement ETL/ELT processes to meet business data demands. Perform data extraction, manipulation, and production from database tables. Build utilities, user-defined functions, and frameworks to optimize data flows. Create automated unit tests and participate in integration testing. Troubleshoot and resolve operational and performance-related issues. Work with architecture and engineering teams to implement high-quality solutions and follow best practices. 🌟 Why Join BeaconFire? ✅ E-Verified employer 🌍 Work Visa Sponsorship Available 📈 Career growth in data engineering and BI 🤝 Supportive and collaborative work culture 💻 Exposure to real-world, enterprise-level projects 📩 Ready to launch your career in Data Engineering? Apply now and let's build something amazing together! 🚀

About This Role: At hMetrix, we are transforming healthcare through data-driven solutions. We're looking for a Senior Healthcare Data Analyst to collaborate with and mentor talented hybrid teams of up to five healthcare policy experts, analysts, software developers, and data architects. In this role, you will be the crucial bridge between business needs and technical solutions. You will leverage cutting-edge technologies to design and implement innovative systems that support an efficient, secure, and stable healthcare data ecosystem for our clients. Your success will be measured by the value we deliver to providers, payers, HIEs, state governments and their communities. What You'll Do: Strategy & Collaboration Collaborate with and mentor your team of analysts, developers, and data architects. Develop and maintain a roadmap for our project data infrastructure, ensuring it aligns with business goals and industry best practices. Collaborate with business stakeholders to gather requirements and translate them into technical specifications. Technical Execution & Data Pipelines Review proposed data processing pipelines (including data warehouses and ETL processes) to ensure performance, scalability, and reliability. Maintain and optimize robust data pipelines using modern ETL tools for efficient data ingestion and processing. Prioritize and manage project data flows to ensure timely delivery and effective resource allocation. System Performance & Governance Oversee monitoring and alerting systems to proactively identify and resolve potential issues. Proactively monitor system performance, identifying and resolving bottlenecks in our analytic applications. Contribute to enforcing data governance policies to ensure data quality, consistency, and compliance. What You'll Bring: Required: Education: Bachelor's degree or higher in Computer Science, Biostatistics, Engineering, or a related technical field. Core Experience: A minimum of four years of relevant experience working directly within the healthcare domain (e.g., payer, provider, healthcare technology). Technical Mastery: At least four years of hands-on experience with SQL, Python, and PySpark applied to data management and analysis. Data Expertise: Strong, practical knowledge of data management and warehousing concepts and best practices. Nice-to-Haves: Proficiency with modern web and cloud (AWS or GCP) technologies. Strong understanding of U.S. healthcare policy and value-based reimbursement models. Familiarity with administrative healthcare claims data (e.g., structure, content, and usage) and HL7 or FHIR healthcare data interoperability standards. Why You'll Love Working at hMetrix: We invest in our team's success and well-being. Here's what we offer: Financial Wellness: A competitive base salary, annual bonus opportunities, and a fully vested 401(k) with a generous employer match. Comprehensive Health: 100% employer-paid medical, dental, and vision premiums for you and your dependents. Work-Life & Flexibility: A hybrid (in-office/remote) schedule with the flexibility of intra-day breaks of up to two hours. Professional Growth: Real opportunities for advancement, supported by continuous mentorship and a strong peer-support network. About hMetrix: For over two decades, hMetrix has been at the forefront of healthcare analytics. We partner with providers, payers, HIEs, and state entities to solve real-world healthcare problems. Our work spans robust data collection, scalable integration, healthcare policy support, reimbursement, data science, and intuitive visualization. We define problems collaboratively with our clients, tailoring our technology and data resources to meet their specific needs. We are a diverse, family-friendly team focused on inclusion, growth, and making a tangible impact. Our Recent Impact: Identified over $100 million in actionable annual savings through advanced algorithms. Serve as a key technology partner to state governments, managing large, complex B2B healthcare portals and specialized HIE solutions. Reduced data processing time by over 90% through advanced technology and automation. Supported policy initiatives to improve care for over 2 million beneficiaries. Join us at hMetrix and contribute to fascinating and rewarding projects that make a tangible impact in the healthcare industry. We value diversity and strive to create a family-friendly culture that fosters inclusion and growth for better business performance. Location 150 Monument Road, Suite 203 Bala Cynwyd, PA 19004 Tel: ************** | Fax: **************

Job Description The Philadelphia 76ers are seeking a Senior Data Scientist to join the Basketball Research and Development team. This role supports decision-making across all departments in Basketball Operations. The ideal candidate combines a strong foundation in machine learning, predictive modeling, and data engineering. RESPONSIBILITIES INCLUDE, BUT ARE NOT LIMITED, TO THE BELOW: Lead the development, validation, and deployment of models that evaluate and forecast player and team performance Work with large, complex, and often noisy datasets (including player-tracking and biomechanical data) to generate actionable insights on the court Collaborate with front office and coaching staff to translate analytical findings into decision support tools Continuously iterate on existing models and infrastructure to improve performance and usability Stay up to date with emerging techniques in data science, sports analytics, and related academic research QUALIFICATIONS: 3+ years of professional experience in a data science, research, or quantitative modeling role Expertise with modern machine learning techniques Proficiency in at least one programming language, Python and SQL experience preferred Familiarity with data engineering or cloud platforms (AWS, GCP, or Azure) is a plus Self-motivated, proactive, and comfortable working on open-ended or ambiguous problems Passion for basketball and for leveraging data to improve decision-making WORKING CONDITIONS: Travel Requirements: May be required to travel occasionally, including between HBSE's various offices; trips may require air travel and/or overnight stay. Work Environment: This position generally requires that work primarily be performed from the Penn Medicine/Philadelphia 76ers' office in Camden, NJ, and may require attendance at events taking place at the Xfinity Mobile Arena in Philadelphia, PA. COMPENSATION AND BENEFITS: The pay range for this position at commencement of employment is expected to be between $130,000 and $200,000/year. Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements, including eligibility for bonus. This position may be governed by an employment agreement, on a form to be provided by the Company, with an expected initial term of two years, although all terms and conditions of any such employment agreement are subject to negotiation between the selected candidate and the Company. If, instead, this position is determined to be an “at will position”, the Company reserves the right to modify base pay (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. The benefits package for the position may include the following, subject to the terms of the then-in-effect Company policies, plan documents and other eligibility criteria: Medical/Dental/Vision/Flexible Spending Accounts Pretax Transportation Benefit Generous Parental Leave policies 401K (with a company match after 1 year of service) Generous Paid Time Off policies 13 Paid Holidays ½ Day Summer Fridays Complimentary or Discounted Sports & Concert Tickets On Site Fitness Rooms Other League & Partner Discounts Details of participation in these benefit plans will be provided if a candidate receives an offer of employment. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.

Job Description 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.

Company description Publicis Re:Sources is the backbone of Publicis Groupe, the world's most valuable agency group. We are the only full-service, end-to-end shared service organization in the industry, enabling Groupe agencies to do what they do best: innovate and transform for their clients. Formed in 1998 as a small team to service a few Publicis Groupe firms, Publicis Re:Sources has grown to 6,200+ employees globally. We provide technology solutions and business services including finance, accounting, legal, benefits, procurement, tax, real estate, treasury and risk management. We continually transform to keep pace with our ever-changing communications industry and thrive on a spirit of innovation felt around the globe. Learn more about Publicis Re:Sources and the Publicis Groupe agencies we support at ********************************* The Publicis Re:Sources Guiding Principles define who we are and what we stand for. They reflect the mindset and behaviors that shape how we work, how we support one another, and how we drive progress together. * People First, Driving Success Together * Problem Solving Mindset * Respect Each Other * Partner and Collaborate as One Team * Commit to Quality and Standards * Innovate and Embrace the Future Overview We are looking for a Senior Data Scientist with deep expertise in Generative AI and advanced machine learning techniques to join our AI innovation team. This role will focus on designing, developing, and deploying generative models that power next-generation AI solutions for our organization. * Visa sponsorship is not available for this role including H1B, OPT EAD etc.* Responsibilities * Lead the development and optimization of Generative AI models (LLMs, diffusion models, transformers) for text, image, and multimodal applications. * Design and implement end-to-end ML pipelines, including data preprocessing, model training, evaluation, and deployment. * Collaborate with product and engineering teams to integrate generative models into scalable applications. * Conduct research on emerging Gen AI techniques and apply them to business use cases. * Fine-tune pre-trained models and develop custom architectures for domain-specific tasks. * Ensure compliance with AI ethics, bias mitigation, and data privacy standards. * Mentor junior data scientists and contribute to best practices in model development and MLOps. Qualifications * Bachelor's. in Computer Science, Data Science, AI/ML, or related field. * 7+ years of experience in Data Science, with at least 2+ years in Generative AI. * Strong proficiency in Python, TensorFlow, PyTorch, and ML frameworks. * Hands-on experience with LLMs (GPT, BERT, etc.), diffusion models, and transformer architectures. * Expertise in NLP, computer vision, and multimodal AI. * Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps tools. * Strong understanding of data ethics, bias detection, and responsible AI principles. Preferred * Experience with prompt engineering, fine-tuning large models, and vector databases. * Knowledge of retrieval-augmented generation (RAG) and agentic AI frameworks such as Langchain, Langgraph, Langfuse. * Publications or contributions in AI research communities. Additional information All your information will be kept confidential according to EEO guidelines. This job description in no way states or implies that these are the only duties to be performed by the employee(s) currently in this position. Employee(s) will be required to follow any other job related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. A review of this position has excluded the marginal functions of the position that are incidental to the performance of fundamental job duties. All duties and responsibilities are essential job functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the incumbent(s) will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. Salary Range - $125-145K/yr (Depends on location, qualifications and experience) This document does not create an employment contract, implied or otherwise, other than an ""at-will"" relations. #LI-DS1

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.

Job Description About Us: Perpay is a certified B Corp and Philadelphia's most impactful growth-stage startup. We are driven by a mission to significantly improve the financial stability of everyday Americans. For the past decade, we have established strong product-market fit and a profitable, efficient operating model across a suite of products, positioning Perpay as the premier financial partner for consumers with subprime credit. With over 500,000 customers who have utilized more than $1 billion in spending power, we are at a pivotal moment. We are scaling our operations, building new offerings, and deepening our impact. We are looking for teammates eager to join us on this journey. Our venture partners include First Round Capital and L Catterton. Products we've built to make an impact: Perpay Marketplace: Combines interest-free payments and modern e-commerce to reduce cost of ownership and promote healthy repayment behavior. Perpay+: Leverages Marketplace repayment history to help members monitor and build credit with all 3 credit bureaus. Perpay Credit Card: Expands access to the flexibility and benefits of a World Mastercard by removing common barriers like high security deposits and low approval odds. Our team thrives on in-person collaboration, operating from our unique center-city Philadelphia office. This comfortable "home away from home" space offers river views and fosters rapid product development, strong relationships, and career growth. The energy from achieving big wins is palpable here. While we primarily work in the office, we offer sensible flexibility for personal needs, such as sick children or urgent errands, and coordinate official remote weeks around major holidays. If you are passionate about a meaningful mission, collaboration, equity, and generous perks, Perpay is the best place to be in Philadelphia right now. About the Role: As a Senior Data Scientist at Perpay, you will be a critical player in the day-to-day success of the business, supporting new and existing product initiatives through strong analytical skills and machine learning expertise. In addition, you will be responsible for helping shape the future of the data science team by developing processes and systems that scale with our rapidly growing business. This is an exciting opportunity to make a positive impact on the execution of Perpay's mission and the lives of our customers. We are looking for someone who is passionate about all aspects of data science: from machine learning and exploratory data analysis to communication of results and real-time deployments. This crucial role will sit on our data science team and report to the Data Science Manager. If you're looking for a collaborative team that you can bounce ideas off of and learn from, this is where you belong. We are about being curious, setting the standard and building good habits at Perpay. Our greatest strength is our people and we'd love for you to be one of them! Responsibilities: Drive the end-to-end completion of data science initiatives, collaborating with stakeholders from ideation through execution, ensuring projects deliver strong impact to our customer's financial lives and the health of the business Proactively identify opportunities for the data science team to improve and expand Perpay's business model using techniques from exploratory data analysis to machine learning models, leveraging subject matter expertise of Perpay's business model Support the growth of the business by delivering scalable models and algorithms while maintaining and troubleshooting existing resources Deploy and maintain real-time model inference resources and infrastructure Deploy and maintain machine learning pipelines including batch processing and continuous training architecture Contribute to the cross-discipline adoption and responsible use of AI/LLM models and services at Perpay Present results and analyses to the a wide range of audiences: from Perpay's leadership team to non-technical peers Contribute to defining standards and best practices concerning workflow and adoption of new technologies within the Data Science team Act as an informal mentor peers What You'll Bring: 5+ years of experience* and expertise applying machine learning techniques in industry 5+ years of experience* and expertise in producing data analysis, exploratory data analysis and data visualization in industry 5+ years of experience* and expertise in developing, deploying, maintaining real-time software (e.g. models exposed as APIs) 5+ years of experience* and expertise in Cloud compute infrastructure and best practices, including familiarity with tools such as terraform and Cloud Formation Bachelor's degree or higher in a quantitative/technical field (Mathematics, Statistics, Engineering, Chemistry, Physics) Excellent communication skills, across a range of audiences from technical to non-technical Strong business acumen, demonstrated through subject matter expertise in at least one industry Capable of managing projects "end to end" including managing project scope, timelines and workloads Advanced proficiency in Python and standard data science stack (e.g. scikit-learn, pandas, numpy, matplotlib, etc.) Team player: willingness and ability to establish strong working relationships not just within the data science team itself, but across the organization *Internships not included Nice to have: Expertise in multiple advanced machine learning methodologies: e.g. deep learning, probabilistic programming, mathematical optimization, etc. Deep familiarity in multiple advanced machine learning frameworks: e.g. tensorflow, pytorch, pymc, etc. Experience with scalable compute frameworks such as Spark or Polars Experience with deployment frameworks such as Kubernetes What We'll Bring to Full-time Team Members: Meaningful compensation and equity Premium medical benefits (fully paid base plan, and very reasonable premium for the buy-up option) 4% employer 401k match Unlimited PTO policy Remote weeks around major holidays + extra holiday on weekends like MDW and LDW High quality catered lunch by local chefs, 3 days / week Gym subsidy Paid cell phone + plan Student loan repayment program Relocation assistance Generous team member discounts This is not a remote opportunity; it is 100% onsite (#LI-Onsite) (#LI-TH1) (#LI-AK1) Perpay is proud to be an equal opportunity employer. We value diversity in all its forms and are committed to creating an inclusive environment. We do not discriminate on the basis of race, religion, color, national origin, gender identity, sexual orientation, sex (including pregnancy), marital status, political affiliation, age, veteran status, disability status or other non-merit factor. Please contact us at careers@perpay.com to request accommodation.

About Us: We believe everyone deserves a chance to improve their financial future. We're dedicated to building simple and inclusive financial products that help our members create healthy habits and achieve economic stability. The Perpay team is a motivated group of creative problem solvers who love getting things done and making an impact. Located in Center City, Philadelphia, our one-of-a-kind space promotes a collaborative work environment, unites our team, and feels like a home away from home. As a certified B Corp, Perpay is committed to building a mission-driven culture that balances purpose and performance - Learn more. Some things we're excited about: $500 million in spending power used by our members Increasing members' credit by 32 points (on average) within the first 3 months Backed by First Round Capital and JP Morgan Products we've built to make an impact: Perpay Marketplace: Combines interest-free payments and modern e-commerce to reduce cost of ownership and promote healthy repayment behavior. Perpay+: Leverages Marketplace repayment history to help members monitor and build credit with all 3 credit bureaus. Perpay Credit Card: Expands access to the flexibility and benefits of a World Mastercard by removing common barriers like high security deposits and low approval odds. About the Role: As a Senior Data Scientist at Perpay, you will be a critical player in the day-to-day success of the business, supporting new and existing product initiatives through strong analytical skills and machine learning expertise. In addition, you will be responsible for helping shape the future of the data science team by developing processes and systems that scale with our rapidly growing business. This is an exciting opportunity to make a positive impact on the execution of Perpay's mission and the lives of our customers. We are looking for someone who is passionate about all aspects of data science: from machine learning and exploratory data analysis to communication of results and real-time deployments. This crucial role will sit on our data science team and report to the Data Science Manager. If you're looking for a collaborative team that you can bounce ideas off of and learn from, this is where you belong. We are about being curious, setting the standard and building good habits at Perpay. Our greatest strength is our people and we'd love for you to be one of them! Responsibilities: Drive the end-to-end completion of data science initiatives, collaborating with stakeholders from ideation through execution, ensuring projects deliver strong impact to our customer's financial lives and the health of the business Proactively identify opportunities for the data science team to improve and expand Perpay's business model using techniques from exploratory data analysis to machine learning models, leveraging subject matter expertise of Perpay's business model Support the growth of the business by delivering scalable models and algorithms while maintaining and troubleshooting existing resources Deploy and maintain real-time model inference resources and infrastructure Deploy and maintain machine learning pipelines including batch processing and continuous training architecture Contribute to the cross-discipline adoption and responsible use of AI/LLM models and services at Perpay Present results and analyses to the a wide range of audiences: from Perpay's leadership team to non-technical peers Contribute to defining standards and best practices concerning workflow and adoption of new technologies within the Data Science team Act as an informal mentor peers What You'll Bring: 5+ years of experience* and expertise applying machine learning techniques in industry 5+ years of experience* and expertise in producing data analysis, exploratory data analysis and data visualization in industry 5+ years of experience* and expertise in developing, deploying, maintaining real-time software (e.g. models exposed as APIs) 5+ years of experience* and expertise in Cloud compute infrastructure and best practices, including familiarity with tools such as terraform and Cloud Formation Bachelor's degree or higher in a quantitative/technical field (Mathematics, Statistics, Engineering, Chemistry, Physics) Excellent communication skills, across a range of audiences from technical to non-technical Strong business acumen, demonstrated through subject matter expertise in at least one industry Capable of managing projects “end to end” including managing project scope, timelines and workloads Advanced proficiency in Python and standard data science stack (e.g. scikit-learn, pandas, numpy, matplotlib, etc.) Team player: willingness and ability to establish strong working relationships not just within the data science team itself, but across the organization *Internships not included Nice to have: Expertise in multiple advanced machine learning methodologies: e.g. deep learning, probabilistic programming, mathematical optimization, etc. Deep familiarity in multiple advanced machine learning frameworks: e.g. tensorflow, pytorch, pymc, etc. Experience with scalable compute frameworks such as Spark or Polars Experience with deployment frameworks such as Kubernetes What We'll Bring: Competitive salary + company equity 401k with company match Medical / Dental / Vision insurance Flexible Spending Account (FSA) Team member discounts Relocation assistance Pre-tax commuter benefit Student loan repayment match Gym subsidy with City Fitness Cell phone plan Paid parental leave Unlimited PTO Additional Perks: Opportunity to gain experience at one of the fastest-growing financial startups in the country Work on both e-commerce & fintech customer-facing products Collaborate cross-functionally with product, design, marketing, operations, data teams, and more This is not a remote opportunity; it is 100% onsite (#LI-Onsite) (#LI-TH1) (#LI-AK1) Perpay is proud to be an equal opportunity employer. We value diversity in all its forms and are committed to creating an inclusive environment. We do not discriminate on the basis of race, religion, color, national origin, gender identity, sexual orientation, sex (including pregnancy), marital status, political affiliation, age, veteran status, disability status or other non-merit factor. Please contact us at ****************** to request accommodation.

At Trella Health, we are passionate and committed to our mission: empowering meaningful change in healthcare. Since our founding in 2015, we continue to grow our team, enhance our solution and services offerings, accelerate into new markets, and expand our customer base. We are rapidly growing and are looking for new Trellavators to join our team! “What is a Trellavator?” you ask. Innovate and elevate is the name of our game! We go above and beyond to collaborate with and support each other. We believe that when a colleague or customers succeeds, we succeed. By learning from others, building on our successes, and taking risks, we constantly raise the bar. After all, continuous improvement is in our DNA. Our word is paramount, we keep our commitments, and we always follow through. We have a strong, reliable support system that fuels growth, collaboration, and passion-and together, we create a positive environment where everyone at Trella Health, including the customers we support, can thrive. Are you ready to learn more about the opportunities with our team? Trell-yeah you are! Position Overview: We are looking for a Senior Data Scientist to join our Data Science & Engineering team. In this role, you will be responsible for turning medical and pharmacy claims data into measures and actionable insights within our software as a Service (SaaS) solution. You will utilize your strong quantitative analysis, SQL, and Python skills to create and analyze scripts to compute metrics and impact downstream data sets. You will work cross-functionally with the data engineering, product, and data quality teams to ensure our data pipelines are accurate, efficient, and high quality. We're looking for someone who is intellectually curious and passionate about continuous learning, especially when solving problems within healthcare data. Location: This role is remote with a strong preference for candidates within commuting distance of Atlanta, GA; Philadelphia, PA; or Nashville, TN. We will also consider applicants based in other U.S. locations. Reports to: Data Science Manager As a Senior Data Scientist at Trella, you will: Work with vast national datasets of medical and pharmacy claims data to interpret, analyze, and build datasets that deliver actionable insights to Trella's proprietary solutions. Design, build, and maintain scalable Databricks workflows and jobs for processing healthcare claims data. Develop and optimize PySpark and SQL pipelines for performance, reliability, and efficiency. Implement data quality monitoring and validation frameworks to ensure completeness, accuracy, and consistency of claims data. Support modernization by refactoring legacy SAS scripts into Databricks. Act as a subject matter expert on healthcare data sources, calculations, and methodologies. Collaborate with the product team to size and scope new analytic projects, defining specifications and requirements. Continuously enhance your knowledge of the healthcare industry through independent research and professional development. This job might be a fit for you if you have: 5+ years of experience in data science, preferably within healthcare space. Advanced SQL and Python skills (e.g. writing complex data processing scripts and automating workflows). Experience working with Databricks, including Spark SQL and PySpark for analytics, data modeling, and machine learning workflows. A deep understanding of data lineage to track and visualize data dependencies, identifying upstream/downstream impacts. Experience with statistical modeling including regression, imputation techniques, and risk scoring. Strong knowledge of medical claims data (e.g., Medicare, Medicaid, Commercial) as well as medical coding systems (ICD10, CPT, HCPCS, MS DRG, NPPES NPI). Excellent problem-solving, time management, and communication skills. Familiarity with software development tools like Jira, Confluence, and Bitbucket. A passion for using data to improve healthcare and a love for solving complex problems. Bachelor's or Master's degree in a technical field or equivalent experience. About Trella Health: Trella Health provides unmatched, actionable market intelligence to post-acute care and value-based care providers of all sizes. Our industry leading analytics paired with CRM and EHR integration workflows positions us as the most advanced sales enablement platform for the post-acute care market. One of only a few companies to be deemed both a Qualified Entity by CMS and an Innovator under its Virtual Research Data Center Program, Trella has elite access to billions of performance metrics and referral data to enable competitive positioning across the market. Its standardized insights, representing 90% of all lives 65+ U.S. population, help customers identify, engage, and manage critical relationships and advance their organizations with certainty. Since launching our first product in 2016, we have experienced tremendous growth and have highlighted a few key data points to get an at-a-glance view of Trella: Over 1,000 customers including 10 of the top 10 post-acute providers and 4 of the top 10 health systems Over 150 team members and growing Recognized as one of Modern Healthcare's “Best Places to Work” in consecutive years and were ranked in the Top 50 startups in the US by LinkedIn Headquartered in Atlanta, GA with remote hubs in Nashville, Philadelphia, the Philippines, and Latin America. The Trellavator Experience: At Trella Health, you can expect to join a welcoming team that truly embodies our core values. Our collaborative culture is anchored by trust, transparency, and inclusion-and we also have a lot of fun. No matter where you work, at Trella Health you can expect an awesome team, frequent virtual gatherings, engaging events, casual attire, and more. We offer competitive salaries with a comprehensive benefits package to all employees and provide an environment that fosters work-life harmonization with Flexible Paid Time Off, along with remote-first work arrangements. As we continue to see exponential growth, our goal is to continue to put team members first and strive to offer our team members the best culture and benefits possible. Some of the benefits we provide are: Health, Dental, Vision & Voluntary Benefits Competitive Salary & Bonus Plans 401k Retirement Savings Flexible PTO & 10 Paid Holidays Flexible Work Hours Equity Shares Paid Leave Programs Marketplace for discounted retail and entertainment Equal Opportunity Employer Trella Health is an equal opportunity employer. All persons will receive consideration for employment without regard to race, color, gender, sexual orientation, gender identity or expression, religion, national origin, marital status, age, disability, handicap, veteran status, genetic information, or any other protected status as recognized by federal, state, or local laws.

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.

Senior Data Scientist, Data Management - Office Based in Blue Bell, PA or Raleigh, NC ICON plc is a world-leading healthcare intelligence and clinical research organization. We're proud to foster an inclusive environment driving innovation and excellence, and we welcome you to join us on our mission to shape the future of clinical development. Symphony Health, part of the ICON plc family, is a team of curious thinkers and intellectual problem solvers driving the healthcare data industry forward. We leverage our large, integrated healthcare data repository and our analytic expertise to build customized, agile data solutions which answer the questions our clients -- life science manufacturers, payers, and providers -- have today, as well as those they'll have tomorrow. Together, we can help patients get the right drugs at the right times. We are currently seeking a Senior Data Scientist, Data Management to join our diverse and dynamic team. As a Senior Data Scientist at ICON Plc, you will play a crucial role in leveraging advanced analytical techniques and machine learning models to derive actionable insights from complex data sets. You will contribute to the success of our data-driven initiatives by developing sophisticated models, performing in-depth analyses, and guiding strategic decision-making across the organization. **What You Will Be Doing:** + Designing and implementing advanced data models and algorithms to solve complex business problems and drive strategic insights. + Conducting in-depth analyses of large and diverse data sets to uncover patterns, trends, and correlations that inform decision-making. + Collaborating with cross-functional teams to understand business needs, translate them into analytical solutions, and communicate findings effectively. + Developing and deploying machine learning models and statistical techniques to enhance predictive capabilities and optimize business processes. + Providing thought leadership on data science best practices and emerging technologies to drive innovation and continuous improvement. **Your Profile:** + Domain expertise in one or more targeted areas of the Revenue Cycle Management processes + Proficient in deterministic and probabilistic linkage concepts/methodologies to support patient journeys derived from anonymized RCM data + Advanced degree in a relevant field such as data science, statistics, computer science, or mathematics. + Extensive experience in data science, with a strong track record of developing and implementing complex models and analyses. + Proficiency in statistical analysis, machine learning techniques, and data visualization tools, with expertise in programming languages such as Python or R. + Excellent problem-solving skills and the ability to manage multiple projects and priorities effectively. + Outstanding communication and interpersonal skills, with the ability to present complex data insights clearly and collaborate with stakeholders across the organization. + Located in or around Blue Bell, PA or Raleigh, NC \#LI-MH1 \#LI-HYBRID **What ICON can offer you:** Our success depends on the quality of our people. That's why we've made it a priority to build a diverse culture that rewards high performance and nurtures talent. In addition to your competitive salary, ICON offers a range of additional benefits. Our benefits are designed to be competitive within each country and are focused on well-being and work life balance opportunities for you and your family. Our benefits examples include: + Various annual leave entitlements + A range of health insurance offerings to suit you and your family's needs. + Competitive retirement planning offerings to maximize savings and plan with confidence for the years ahead. + Global Employee Assistance Programme, LifeWorks, offering 24-hour access to a global network of over 80,000 independent specialized professionals who are there to support you and your family's well-being. + Life assurance + Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidized travel passes, health assessments, among others. Visit our careers site (************************************* to read more about the benefits ICON offers. At ICON, inclusion & belonging are fundamental to our culture and values. We're dedicated to providing an inclusive and accessible environment for all candidates. ICON is committed to providing a workplace free of discrimination and harassment. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please let us know or submit a request here (****************************************************** Interested in the role, but unsure if you meet all of the requirements? We would encourage you to apply regardless - there's every chance you're exactly what we're looking for here at ICON whether it is for this or other roles. Are you a current ICON Employee? Please click here (****************************************************** to apply

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 (***************************************************************************************************************************

Senior Data Scientist, Data Management - Office Based in Blue Bell, PA or Raleigh, NC ICON plc is a world-leading healthcare intelligence and clinical research organization. We're proud to foster an inclusive environment driving innovation and excellence, and we welcome you to join us on our mission to shape the future of clinical development. Symphony Health, part of the ICON plc family, is a team of curious thinkers and intellectual problem solvers driving the healthcare data industry forward. We leverage our large, integrated healthcare data repository and our analytic expertise to build customized, agile data solutions which answer the questions our clients -- life science manufacturers, payers, and providers -- have today, as well as those they'll have tomorrow. Together, we can help patients get the right drugs at the right times. We are currently seeking a Senior Data Scientist, Data Management to join our diverse and dynamic team. As a Senior Data Scientist at ICON Plc, you will play a crucial role in leveraging advanced analytical techniques and machine learning models to derive actionable insights from complex data sets. You will contribute to the success of our data-driven initiatives by developing sophisticated models, performing in-depth analyses, and guiding strategic decision-making across the organization. What You Will Be Doing: * Designing and implementing advanced data models and algorithms to solve complex business problems and drive strategic insights. * Conducting in-depth analyses of large and diverse data sets to uncover patterns, trends, and correlations that inform decision-making. * Collaborating with cross-functional teams to understand business needs, translate them into analytical solutions, and communicate findings effectively. * Developing and deploying machine learning models and statistical techniques to enhance predictive capabilities and optimize business processes. * Providing thought leadership on data science best practices and emerging technologies to drive innovation and continuous improvement. Your Profile: * Domain expertise in one or more targeted areas of the Revenue Cycle Management processes * Proficient in deterministic and probabilistic linkage concepts/methodologies to support patient journeys derived from anonymized RCM data * Advanced degree in a relevant field such as data science, statistics, computer science, or mathematics. * Extensive experience in data science, with a strong track record of developing and implementing complex models and analyses. * Proficiency in statistical analysis, machine learning techniques, and data visualization tools, with expertise in programming languages such as Python or R. * Excellent problem-solving skills and the ability to manage multiple projects and priorities effectively. * Outstanding communication and interpersonal skills, with the ability to present complex data insights clearly and collaborate with stakeholders across the organization. * Located in or around Blue Bell, PA or Raleigh, NC #LI-MH1 #LI-HYBRID What ICON can offer you: Our success depends on the quality of our people. That's why we've made it a priority to build a diverse culture that rewards high performance and nurtures talent. In addition to your competitive salary, ICON offers a range of additional benefits. Our benefits are designed to be competitive within each country and are focused on well-being and work life balance opportunities for you and your family. Our benefits examples include: * Various annual leave entitlements * A range of health insurance offerings to suit you and your family's needs. * Competitive retirement planning offerings to maximize savings and plan with confidence for the years ahead. * Global Employee Assistance Programme, LifeWorks, offering 24-hour access to a global network of over 80,000 independent specialized professionals who are there to support you and your family's well-being. * Life assurance * Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidized travel passes, health assessments, among others. Visit our careers site to read more about the benefits ICON offers. At ICON, inclusion & belonging are fundamental to our culture and values. We're dedicated to providing an inclusive and accessible environment for all candidates. ICON is committed to providing a workplace free of discrimination and harassment. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please let us know or submit a request here Interested in the role, but unsure if you meet all of the requirements? We would encourage you to apply regardless - there's every chance you're exactly what we're looking for here at ICON whether it is for this or other roles. Are you a current ICON Employee? Please click here to apply

Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction. Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work certification year after year. Senior Data ScientistPrimary Skills Problem Formulation (Business problem to Data Science Problem), OKR Validation against statistical measures, Data Wrangling, Data Storytelling & Insight Generation, Problem Solving, Excel VBA, Data Curiosity, Technical Decision Making (How many iterations to go for vs when to stop iterating), Communication & Articulation: Vocal & Written, Business Acumen (Consume new domains quickly to learn through data), Design Thinking, Data Literacy Specialization Data Science Foundation: Data Scientist Job requirements Senior Data ScientistKey Skills Strong proficiency in Python and SQL, ML, and GenAI pipelines Hands-on experience with GenAI / LLM-based systems (RAG, Fine Tuning, agents) Solid understanding of retrieval-augmented generation (RAG) architectures and vector databases Experience applying ML algorithms (classification, regression, ensembles) on structured BFSI data BFSI domain knowledge (banking, risk, fraud, compliance etc) Experience with LLM platforms and APIs (OpenAI, Azure OpenAI, AWS Bedrock, etc.) Ability to design prompt strategies, guardrails, and evaluation metrics for GenAI systems Understanding of data lineage, metadata, and traceability concepts in enterprise systems Experience working on cloud-based data and AI platforms (AWS/Azure) Strong problem-solving, communication, and stakeholder-facing skills in client environments Scope of Work / Responsibilities Design and build end-to-end GenAI solutions for BFSI use cases (RAG, agents) Develop and optimize data ingestion, chunking, embedding, and retrieval pipelines Integrate domain and regulatory requirements into AI/ML solution design Contribute to or implement data lineage-aware pipelines for traceability and audit readiness Develop production-quality Python code and reusable AI/ML components Perform model, prompt, and retrieval evaluation, monitoring, and performance tuning Support client interactions, solution walkthroughs, and technical documentation Mentor junior data scientists and act as a technical owner for assigned AI/GenAI modules $120,000 - $130,000 a year Know what it's like to work and grow at Brillio: Click here We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

WHO WE ARE Founded by Josh Harris and David Blitzer, Harris Blitzer Sports & Entertainment (HBSE) includes in its portfolio the Philadelphia 76ers, the New Jersey Devils, leading venue Prudential Center in Newark, N.J., the Delaware Blue Coats, and the Utica Comets. Led by some of the best and brightest minds across a diverse spectrum of industries, HBSE positions itself as one of the most pioneering, innovative global sports and entertainment businesses to date. HBSE also strives to positively impact the local communities in which it operates through the powerful platform of sports. HBSE offers an energetic work environment built on collaboration, growth, and a quest to excel in everything we do. Prudential Center in downtown Newark, N.J. hosts more than 175 concerts, family shows and special events annually and is the fourth-ranked sports and entertainment venue in the U.S. by Pollstar and Billboard. It is home to the New Jersey Devils, a renowned NHL franchise with three Stanley Cup championships and a proud, passionate fan base. Prudential Center is also home to the brand-new GRAMMY Museum Experience, the first and only of its kind on the east coast. The Philadelphia 76ers organization is one of the most storied franchises in American sports, led by some of the best and brightest minds across a diverse spectrum of industries, HBSE positions itself as one of the most pioneering, innovative global sports and entertainment businesses to date. The 76ers have attracted the industry's top leadership talent from the NBA, NFL, NHL, MLB, MLS, UFC and NCAA, resulting in one of the most exciting, rewarding, and dynamic work environments within the sports industry. The 76ers offer a best-in-class workplace culture built on collaboration, growth, and a quest to excel in everything we do. OUR COMMITMENT TO DIVERSITY At HBSE, we engage, represent and reflect diverse voices of employees, players fans and communities. We are dedicated to hiring the best talent that is reflective of where we live, work and play - across all groups and levels; supporting and developing every employee to reach their potential; and creating an inclusive environment that allows team members to bring their true authentic selves to work. Job Description POSITION OVERVIEW: The Philadelphia 76ers are seeking a Senior Data Scientist to join the Basketball Research and Development team. This role supports decision-making across all departments in Basketball Operations. The ideal candidate combines a strong foundation in machine learning, predictive modeling, and data engineering. RESPONSIBILITIES INCLUDE, BUT ARE NOT LIMITED, TO THE BELOW: * Lead the development, validation, and deployment of models that evaluate and forecast player and team performance * Work with large, complex, and often noisy datasets (including player-tracking and biomechanical data) to generate actionable insights on the court * Collaborate with front office and coaching staff to translate analytical findings into decision support tools * Continuously iterate on existing models and infrastructure to improve performance and usability * Stay up to date with emerging techniques in data science, sports analytics, and related academic research QUALIFICATIONS: * 3+ years of professional experience in a data science, research, or quantitative modeling role * Expertise with modern machine learning techniques * Proficiency in at least one programming language, Python and SQL experience preferred * Familiarity with data engineering or cloud platforms (AWS, GCP, or Azure) is a plus * Self-motivated, proactive, and comfortable working on open-ended or ambiguous problems * Passion for basketball and for leveraging data to improve decision-making WORKING CONDITIONS: * Travel Requirements: May be required to travel occasionally, including between HBSE's various offices; trips may require air travel and/or overnight stay. * Work Environment: This position generally requires that work primarily be performed from the Penn Medicine/Philadelphia 76ers' office in Camden, NJ, and may require attendance at events taking place at the Xfinity Mobile Arena in Philadelphia, PA. COMPENSATION AND BENEFITS: The pay range for this position at commencement of employment is expected to be between $130,000 and $200,000/year. Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements, including eligibility for bonus. This position may be governed by an employment agreement, on a form to be provided by the Company, with an expected initial term of two years, although all terms and conditions of any such employment agreement are subject to negotiation between the selected candidate and the Company. If, instead, this position is determined to be an "at will position", the Company reserves the right to modify base pay (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. The benefits package for the position may include the following, subject to the terms of the then-in-effect Company policies, plan documents and other eligibility criteria: * Medical/Dental/Vision/Flexible Spending Accounts * Pretax Transportation Benefit * Generous Parental Leave policies * 401K (with a company match after 1 year of service) * Generous Paid Time Off policies * 13 Paid Holidays * ½ Day Summer Fridays * Complimentary or Discounted Sports & Concert Tickets * On Site Fitness Rooms * Other League & Partner Discounts Details of participation in these benefit plans will be provided if a candidate receives an offer of employment. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class. Skills & Requirements Qualifications OUR BENEFITS: * Medical/Dental/Vision/Flexible Spending Accounts * Pretax Transportation Benefit * Generous Parental Leave policies * 401K (with match after 1 year of service) * Generous Paid Time Off policies * 13 Paid Holidays * ½ Day Summer Fridays * Complimentary or Discounted Sports & Concert Tickets * On Site Fitness Rooms * Other League & Partner Discounts Details of participation in these benefit plans will be provided if a candidate receives an offer of employment. View Us On LinkedIn | Sign up for Job Alerts

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.

SRP is a big data company located in Princeton, NJ focused on Dynamic Pricing, run by seasoned alumni from Stanford University and Wharton. Job Description Title: Senior Data Scientist for a Stanford 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 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.

This role supports the enhancement of an internal pricing and inventory decision-support tool used by venue operators and site managers. The tool enables users to configure future periods, run pricing scenarios, and apply model-driven recommendations that forecast demand, inventory needs, and financial impact (revenue, gross profit, margin). Day to day, the Data Scientist will: - Build and deploy predictive models that power product-level pricing and scenario outputs in the tool. - Analyze POS sales, back-of-house and warehouse inventory, IoT/telemetry signals, and vendor data. - Support scenario analysis and "what‑if" comparisons (e.g., price changes, end-of-event markdowns). - Translate complex model outputs into clear, business-facing recommendations for non-technical users. - Partner closely with Data Engineers to ensure models are production-ready, scalable, and reliable. - Produce clean, documented code and lead knowledge transfer for long-term maintainability. 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 - 5+ years of experience developing and deploying predictive models in production environments. - Strong proficiency in Python or R, and SQL. - Proven experience in: - Time-series forecasting - Recommendation systems (pricing, demand, or inventory) - Anomaly detection - Modeling with IoT or telemetry data - Hands-on experience with cloud data warehouses (Snowflake OR Databricks) - Experience working with retail, inventory, supply chain, or vendor-based datasets. - Experience building models across different venue or event types (sports, concerts, parks). - Familiarity with model performance metrics, monitoring, and lifecycle management. - Experience working directly with operations or business stakeholders. - Background supporting decision tools rather than purely analytical dashboards.

**_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 (***************************************************************************************************************************