Data Scientist jobs in Piscataway, NJ

🚀 MLOps & Cloud Ops Engineer - AI & Data Team | NYC | Hybrid | High Impact Work We're working with a mission-driven investment firm at the forefront of healthcare innovation. Their AI & Data Team is seeking a MLOps & Cloud Ops Engineer to help scale impactful machine learning systems and infrastructure that accelerate life sciences and healthcare breakthroughs. 📍 Location: New York, NY (Hybrid) 💼 Type: Full-time 💡 Industry: Investment / Healthcare Innovation / AI & Data $200-250k salary + competitive performance bonus + benefits 🌟 About the Team This cutting-edge AI & Data team operates at the crossroads of strategy, data, and technology. They design and deploy machine learning solutions, build proprietary tools to support smarter investment decisions, and partner with startups, academics, and innovators across the healthcare space. You'll be part of a small, high-impact group shaping the next generation of AI-powered insights and operational excellence. 🔧 What You'll Do Architect and maintain cloud infrastructure across AWS, Azure, and Databricks Build secure, scalable systems for AI/ML workloads Design and manage CI/CD pipelines for ML workflows Implement model tracking, versioning, and reproducibility standards Containerize ML models using Docker and Kubernetes Monitor production systems for drift, anomalies, and performance Enforce Infrastructure-as-Code and DevSecOps best practices Partner closely with data scientists, engineers, and dev teams Assist with compliance and data governance for AI systems ✅ What You Bring 5+ years in cloud infrastructure or MLOps roles Experience in Financial Services or Healthcare industries Strong hands-on experience with AWS and/or Azure Production experience with Databricks Proficiency in Terraform, Pulumi, or AWS CDK Strong knowledge of Docker, Kubernetes, and ML observability tools Skilled in Python, Bash, and automation scripting Experience building CI/CD pipelines (GitHub Actions, Jenkins, Argo Workflows) Familiarity with MLflow, DVC, Prometheus, Grafana, or Datadog 🔗 Ready to Drive Real-World Impact with AI? This is your opportunity to help shape the future of healthcare innovation with state-of-the-art cloud infrastructure and machine learning systems.

Data Engineer - Special Skillset * Prepares data for analytical or operational uses * Builds data pipelines to pull information from different source systems; integrating, consolidating and cleansing data; and structuring it for use in applications * Creates interfaces and mechanisms for the flow and access of information. *********************************************************************** Data Analyst - Special Skillset * Provides expertise to acquire, manage, manipulate, and analyze data and report results * Analyzes and solves issues with current and planned systems as they relate to the integration and management of data * Analyzes, and interprets trends or patterns in complex data sets and implements data collection strategies

Job Classification: Technology - Data Analytics & Management As the Global Asset Management business of Prudential, we're always looking for ways to improve financial services. We're passionate about making a meaningful impact - touching the lives of millions and solving financial challenges in an ever-changing world. We also believe talent is key to achieving our vision and are intentional about building a culture on respect and collaboration. When you join PGIM, you'll unlock a motivating and impactful career - all while growing your skills and advancing your profession at one of the world's leading global asset managers! If you're not afraid to think differently and challenge the status quo, come and be a part of a dedicated team that's investing in your future by shaping tomorrow today. At PGIM, You Can! PGIM Data Science is a newly established team and you will join it as key founding member. As the Data Scientist for PGIM, you play a leading role in shaping and executing PGIM's data-driven strategy, specifically in asset management area. You will partner with other cross-functional teams, data engineers, financial analysts and business leaders to shape the future of PGIM's data landscape. This role leads the development of advanced data science projects and data driven insights to significantly elevate business outcomes. You will solve meaningful business problems using generative AI, and advanced machine learning models. This role is based in our office in Newark, NJ. Our organization follows a hybrid work structure where employees can work remotely and/ from the office, as needed, based on demands of specific tasks or personal work preferences. This position is hybrid and requires your on-site presence on a reoccurring weekly basis 3 days per week and can change based on future updates to the company's in-office presence policy. Responsibilities Lead the development and optimization of Generative AI (Gen AI) models, including LLM fine-tuning, Retrieval-Augmented Generation (RAG), and AI-driven quantitative research. Research and implement AI-related strategies, leveraging LLMs, NLP, and alternative data sources to drive investment decisions. Develop and integrate machine learning-based market models, optimizing business growth and profitability. Collaborate with engineering, and investment teams to deploy production-ready AI solutions for financial applications. Optimize AI models for efficiency, leveraging advanced techniques such as quantization, low-rank adaptation (LoRA), and knowledge distillation. Stay at the forefront of Gen AI innovations to enhance financial insights and drive automation in portfolio management. Qualifications PhD or Master's degree in Computer Science, Machine Learning, Engineering, Applied Mathematics, or comparable quantitative disciplines. 3+ years of experience in developing LLM, NLP, NLU, NLG, deep learning models, and transformer models, with a focus on developing conversational AI solutions. 3+ years of experience in retrieval-augmented generation (RAG), vector embeddings, and knowledge graphs. Hands-on experience with machine learning development and AI explainability methods, i.e. reinforcement learning, transfer learning, counterfactual analysis, model drift detection, adversarial testing, etc., Preferably 3+ years of experience with model optimization techniques (e.g., distillation, quantization, model pruning). Preferably strong knowledge of Gen AI application in financial industry, but not required. Proficiency in Python, PyTorch, TensorFlow, Hugging Face Transformers, and distributed computing frameworks. Hands-on experience integrating alternative data sources, including news analytics, satellite data, and financial reports, into AI-driven trading models. Excellent documentation, communication and presentation skills, can influence without authority Team-orient mindset and can-do attitude *PGIM welcomes all applicants, even if you don't meet every requirement. If your skills align with the role, we encourage you to apply. Note: Prudential is required by state specific laws to include the salary range for this role when hiring a resident in applicable locations. The salary range for this role is from $160,000 - $190,000. Specific pricing for the role may vary within the above range based on many factors including geographic location, candidate experience, and skills. What we offer you: Market competitive base salaries, with a yearly bonus potential at every level. Medical, dental, vision, life insurance, disability insurance, Paid Time Off (PTO), and leave of absences, such as parental and military leave. 401(k) plan with company match (up to 4%). Company-funded pension plan. Wellness Programs including up to $1,600 a year for reimbursement of items purchased to support personal wellbeing needs. Work/Life Resources to help support topics such as parenting, housing, senior care, finances, pets, legal matters, education, emotional and mental health, and career development. Education Benefit to help finance traditional college enrollment toward obtaining an approved degree and many accredited certificate programs. Employee Stock Purchase Plan: Shares can be purchased at 85% of the lower of two prices (Beginning or End of the purchase period), after one year of service. Eligibility to participate in a discretionary annual incentive program is subject to the rules governing the program, whereby an award, if any, depends on various factors including, without limitation, individual and organizational performance. To find out more about our Total Rewards package, visit Work Life Balance | Prudential Careers. Some of the above benefits may not apply to part-time employees scheduled to work less than 20 hours per week. Prudential Financial, Inc. of the United States is not affiliated with Prudential plc. which is headquartered in the United Kingdom. Prudential is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender identity, national origin, genetics, disability, marital status, age, veteran status, domestic partner status, medical condition or any other characteristic protected by law. If you need an accommodation to complete the application process, please email accommodations.hw@prudential.com. If you are experiencing a technical issue with your application or an assessment, please email *************************************** to request assistance.

Our healthcare system is the leading cause of personal bankruptcy in the U.S. Every year, over 50 million Americans suffer adverse financial consequences as a result of seeking care, from lower credit scores to garnished wages. The challenge is only getting worse, as high deductible health plans are the fastest growing plan design in the U.S. Cedar's mission is to leverage data science, smart product design and personalization to make healthcare more affordable and accessible. Today, healthcare providers still engage with its consumers in a “one-size-fits-all” approach; and Cedar is excited to leverage consumer best practices to deliver a superior experience. Background: Cedar is a patient payment and engagement platform that leverages data science, consumer-centric design and technology to improve the healthcare experience for patients. The Data Science team plays a critical role in achieving Cedar's vision. We ensure data and insights are accessible and trusted by all internal and external stakeholders to enable data-driven decision-making. Through analytics, descriptive analyses, and statistical models, we consistently aim to better understand the needs of patients, find improvement opportunities, and impact the product development process. We run experiments to test our various hypotheses and measure our progress. We build ML models and embed them into our web app to deliver a personalized experience to patients. We help differentiate Cedar's product offerings with hard-to-copy competitive advantages. To do this, we have built an open, supportive, and collaborative team culture. “Love thy teammate” is one of our Data Science values, and we live into this value by operating from a mindset of curiosity, possibility, and the best intentions of each of our team members. As a team, we are dedicated to continually growing our technical excellence and collaborative excellence, equally. We are also not doing this alone; we partner with the other Makers teams (Product, Engineering, Design, and User Research) to grow our impact. We also work with Commercial teams to evangelize our vision to clients and get market feedback on which pain points are the most urgent to solve. You can read about some of our work on the Patient Experience Studio, a blog we share with the Design team. The Role: Cedar is growing rapidly and the demand for data expertise is increasing exponentially along with our growth. We're seeking a Data Scientist III (Product Analytics) on our Data Science team to work with our product development teams to enable robust data-driven decisions and understand user behavior through in-depth data analysis. As a Data Scientist III (Product Analytics), you will be responsible for ensuring that we are building world-class products that truly address the needs of our users and customers through data insights. You will identify clear and strategic product opportunities, measure the success of our products, understand product strengths and areas for improvement - by immersing yourself in Cedar data and the stories that it tells. You will continuously apply a growth mindset in your approach to problems. Responsibilities: Partner with the Product, Design, and Engineering teams to develop an understanding of user behavior and opportunities for product improvement using data Influence data focused decision making on product teams to move metrics and improve the patient experience Perform exploratory research to provide product teams with new strategic ideas and levers to improve impactful metrics Analyze, measure, and track the performance and success of product features Identify data insights and recommendations for product teams to act and iterate on Ideate, design, and evaluate product experiments Build dashboards and visualizations to democratize data insights Present and clearly communicate data findings and underlying methodology to partners across all levels of the organization Think from the perspective of a user and develop expert intuition of Cedar's data models and product Skills and Experience: 5+ years of experience in an analytical role A go-getter attitude, passion for delivering a world-class product experience, and a mindset focused on growth and learning An analytical attitude and passion for finding opportunities and insights within data Understanding of statistical methods for research and experimentation purposes Experience collaborating with product, design, and engineering teams SQL and Python expertise is a must-have Applicants must be currently authorized to work in the United States on a full-time basis. Compensation Range and Benefits Salary/Hourly Rate Range*: $148,750 - $175,000 This role is equity eligible This role offers a competitive benefits and wellness package *Subject to location, experience, and education What do we offer to the ideal candidate? A chance to improve the U.S. healthcare system at a high-growth company! Our leading healthcare financial platform is scaling rapidly, helping millions of patients per year Unless stated otherwise, most roles have flexibility to work from home or in the office, depending on what works best for you For exempt employees: Unlimited PTO for vacation, sick and mental health days-we encourage everyone to take at least 20 days of vacation per year to ensure dedicated time to spend with loved ones, explore, rest and recharge 16 weeks paid parental leave with health benefits for all parents, plus flexible re-entry schedules for returning to work Diversity initiatives that encourage Cedarians to bring their whole selves to work, including three employee resource groups: be@cedar (for BIPOC-identifying Cedarians and their allies), Pridecones (for LGBTQIA+ Cedarians and their allies) and Cedar Women+ (for female-identifying Cedarians) Competitive pay, equity (for qualifying roles), and health benefits, including fertility & adoption assistance, that start on the first of the month following your start date (or on your start date if your start date coincides with the first of the month) Cedar matches 100% of your 401(k) contributions, up to 3% of your annual compensation Access to hands-on mentorship, employee and management coaching, and a team discretionary budget for learning and development resources to help you grow both professionally and personally About us Cedar was co-founded by Florian Otto and Arel Lidow in 2016 after a negative medical billing experience inspired them to help improve our healthcare system. With a commitment to solving billing and patient experience issues, Cedar has become a leading healthcare technology company fueled by remarkable growth. "Over the past several years, we've raised more than $350 million in funding & have the active support of Thrive and Andreessen Horowitz (a16z). As of November 2024, Cedar is engaging with 26 million patients annually and is on target to process $3.5 billion in patient payments annually. Cedar partners with more than 55 leading healthcare providers and payers including Highmark Inc., Allegheny Health Network, Novant Health, Allina Health and Providence.

Job Description 🚗 Why us? Innovation: Jerry is disrupting the car industry. With our super app, we are ushering in a new era for 300M drivers in the US and radically improving the consumer automotive experience. Impactful Projects: Architect complex deep learning models with massive real-world applications. Startup Energy: Move quickly, test, iterate and own projects end-to-end in an environment where your ideas matter and your impact is felt from day one. Brilliant Teammates: Work with extremely talented and passionate engineers, data scientists, and analysts from companies like NVIDIA, Tencent, Alibaba, ByteDance, etc. 💻 About the opportunity We are looking for a Staff Applied Data Scientist (PhD) who is energized by working with a high caliber team and making a material difference in the lives of millions to join us! Reporting directly to our cofounder/CTO, you will architect and deploy advanced ML models with massive real-world applications (e.g. model & predict user behavior, leverage LLMs and custom-built components to optimize our chatbot & voicebot, etc). Come play a key role in helping us grow from 5M to 50M customers and become a $10B company in the next 4 years! 🫵 How you will make an impact Develop and architect advanced machine learning models to address critical business challenges and drive company-wide strategic initiatives Take ownership of the end-to-end modeling process, from initial ideation to model deployment and maintenance Conduct thorough data preparation and analysis to ensure the quality and relevance of input data for modeling tasks Collaborate closely with cross-functional teams, including Product and Data Engineering to productize and deploy models into production systems Contribute to large-scale company initiatives aimed at solving problems that haven’t yet been touched by anyone at Jerry 🚀 Requirements PhD in Physics or related field 5+ years of experience building and deploying models from scratch. Deep understanding of machine learning algorithms and techniques, with experience in building and deploying models from scratch. Strong analytical and problem-solving skills, with the ability to translate complex business requirements into practical modeling solutions. Passion for real-world application of machine learning, with a desire to make a significant impact on large-scale business initiatives. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at ******************* About Jerry.ai: Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.

Job Description: The Lead Data Scientist at Northwestern Mutual Life Insurance Company in New York, New York will apply and integrate advanced statistical, mathematical, data mining, predictive modeling, and business analysis to discover and identify new insights, predict and prescribe outcomes, advise on turning new insights into actionable opportunities and outcomes, and provide tracking and measurement of results. Independently develop solutions, mathematical models, algorithms, machine learning techniques, and analytics to support business insights and data visualization for productization and monetization. Apply creative problem solving and inter-departmental networking to address data and information needs across the enterprise. Share best practices with peers through coaching and mentoring around core methodologies, patterns, standards and processes. Drive innovation by exploring new experimentation methods and statistical techniques to sharpen or speed up product decision-making processes. Discover technology improvement opportunities through extensive analysis and work with other teams to address opportunities. Utilize Python, R, and SAS and create SQL queries. Refit models constantly as data changes over time. Identify available internal and external data resources to develop and deliver information solutions, including analytical information. Utilize distributed, relational, and cloud-based databases and query languages. Local telecommuting permitted. Salary $142,030- $252,200 per year. Minimum Requirements: Master's degree in Statistics, Data Science, Mathematics, Computer Science, or related field, plus 1 year of experience as a data scientist or related occupation. Experience must include 1 year of experience with each of the following: (1) programming with Python, Java, or Ruby; (2) statistical analysis using R or SAS; (3) SQL queries; (4) probability theory and statistical analysis; (5) distributed, relational, and cloud-based databases and query languages including Hive and Spark; (6) data analysis and analytics; and (7) modeling datasets using machine learning techniques. Interested candidates send resume to ****************************. Reference code 199 in the subject line. We believe in fairness and transparency. It's why we share the salary range for most of our roles. However, final salaries are based on a number of factors, including the skills and experience of the candidate; the current market; location of the candidate; and other factors uncovered in the hiring process. If noted, this is standard pay structure for this position. Grow your career with a best-in-class company that puts our clients' interests at the center of all we do. Get started now! Northwestern Mutual is an equal opportunity employer who welcomes and encourages diversity in the workforce. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives. If you work or would be working in California, Colorado, New York City, Washington or outside of a Corporate location, please click here for additional information pertaining to compensation and benefits.

JobID: 210637253 JobSchedule: Full time JobShift: Base Pay/Salary: Jersey City,NJ $180,100.00-$210,000.00 DESCRIPTION: Duties: Research and develop cutting edge natural language (NLP) processing personalization models to enhance the firm's business application capabilities. Develop robust software solutions in Go and Python, including comprehensive unit test cases and seamless end-to-end API integration. Use CICD deployment tooling such as Kubernetes, Docker, Jenkins to customize, configure and deploy full-stack machine learning (ML) applications into production. Proficiently work in cloud environments (namely AWS and Azure) to deploy various components of the application into the cloud stack, more specifically, S3 and RDS for cloud storage, OpenSearch for embeddings and text search, AWS EKS, ECS and Lambda for compute. Evaluate and recommend third-party AI/ML vendors that may benefit the firm. Stay at the forefront of the modern Machine Learning landscape by attending conferences, reading leading publications, and presenting insights internally. Document and reproduce third party research and investigate feasibility of adoption into the firm. Closely collaborate with business and product management teams to gather requirements, produce strategic roadmaps, implement projects within timelines and organize effective product demos to highlight team's progress and new capabilities. Collaborate with internal AI research and Center of Excellence ML team in joint ventures. Independently direct large-scale machine learning projects, ensuring high-quality outcomes and alignment with business goals. QUALIFICATIONS: Minimum education and experience required: Master's degree in Data Science, Computer Science, or related field of study plus 5 years of experience in the job offered or as a Data Scientist, Machine Learning Engineering, Software Engineer, BI Developer, or related occupation. The employer will alternatively accept a PhD in Data Science, Computer Science, or related field of study plus 3 years of experience in the job offered or as a Data Scientist, Machine Learning Engineering, Software Engineer, BI Developer, or related occupation. Skills Required: This position requires experience with the following: AI and ML competencies including Natural Language Processing; end-to-end lifecycle development of ML models using MLOps and LLMOps framework; working with language models prompting and parameter-efficient fine tuning; working in domain- optimized ranking models; working with machine learning model performance analysis using metrics including ROUGE and BERTscore; prompting and parameter-efficient fine tuning of Language Models; Programming Languages including Go and Python; Working in modern Python libraries including Polars, PyTorch, and Asyncio; Production experience with Cloud and Infrastructure deployment using AWS Cloud Services including EKS, ECS, SNS, SQS, S3, Terraform, Docker, and Kubernetes; Machine Learning model delivery using multithreading techniques and automating runtime using Airflow; Working with multi-modal LLMs that includes text and image processing; Developing AI models tailored to solving business-specific problems in the wealth management domain. Job Location: 575 Washington Blvd., Jersey City, NJ 07310. Full-Time. Salary: $180,100 - $210,000 per year. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. For those in eligible roles, discretionary incentive compensation which may be awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. In addition, please visit: ********************************************

Amalgamated Bank is seeking a Data Governance/Scientist to join the Information Technology Team that will play a crucial supporting role to the Data Governance team. This position will report to our Head of Governance and is expected to report in-office 3 days per week. By joining our team, you'll be joining a Bank that believes that maintaining a diverse and inclusive workplace where everyone feels valued and respected is essential for us to grow as a company. We are dedicated to building a more equitable world in our everyday practices by embracing the values of our employees and customers. Essential Job Functions: Data Governance & Quality: Develop and implement data governance frameworks, ensuring compliance with banking regulations. Establish data quality metrics, validation rules, and anomaly detection to maintain data integrity. Monitor data lineage, metadata management, and access controls. Regulatory Compliance & Security: Ensure adherence to GDPR, CCPA, GLBA, and other financial data regulations. Partner with risk and compliance teams to mitigate data risks and maintain secure data environments. Data Science & Analytics: Utilize machine learning models and AI techniques to enhance data validation, detect fraud, and automate governance processes. Perform advanced statistical analyses to optimize data management strategies. Collaborate with business units to improve decision-making through data-driven insights. Collaboration & Communication: Work closely with data engineers, IT, compliance officers, and executives to align data governance strategies with business goals. Advocate for a data-driven culture, promoting best practices in data stewardship across the organization. Knowledge, Skills and Experience Requirements: Master's degree in Data Science, Computer Science, Statistics, Finance, or a related field. 3+ years of experience in data governance, data science, or analytics within financial services or banking. Technical Skills: Proficiency in SQL, Python, or R for data analysis and governance automation. Experience with data governance tools (Unity Catalog, Purview, or others). Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and database management. Knowledge of machine learning techniques for anomaly detection and data quality improvement. Soft Skills: Strong problem-solving skills with the ability to interpret complex data governance requirements. Excellent communication skills to collaborate across departments and explain data policies to stakeholders. Preferred Qualifications: Experience in banking or financial services data governance. Understanding of risk management and compliance frameworks in finance. Certifications such as CDMP (Certified Data Management Professional) or DAMA are a plus. Our job titles may span more than one career level. The starting base salary for this role is between $155,000.00 - $170,000.00. The actual base pay is dependent upon many factors, such as: training, transferrable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future.

About the Team OpenAI's User Operations team is building world-class automation and knowledge systems that will reduce friction for users, provide industry-leading support, and serve as a proving ground for OpenAI's next-generation technology. About the Role As an early member of our User Operations Data Science team, you will help build a data-driven culture around hypothesis testing, insight generation, and strategy. You should expect to work on a wide range of projects like defining north-star metrics, designing experiments, estimating incrementality, and creating predictive models. You will partner with our automation engineering team and our data engineering team to develop the data infrastructure for these knowledge systems. Most importantly, you should expect to be a core member of the Business data science team, helping to bring our technology to a wide range of customers and supporting our self-serve and sales-led motions. This role is based in San Francisco, CA or New York, NY. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: * Design and deploy predictive models to forecast support demand, proactively identify user friction, and drive data-informed decision-making. * Collaborate with engineering to refine autonomous agents, providing insights on training data, agent performance, and rapid iteration loops. * Provide key product insights for PMs and engineering teams, shaping priorities and guiding enterprise-grade user support strategies. * Mentor other data scientists, establishing standards for data quality, experimentation, and ethical AI use. * Manage cross-functional data science projects about revenue, marketing, pricing, usage, and other topics core to the business. * Establish a data-driven culture by driving the definition, tracking, and operationalizing of metrics * Become an expert in OpenAI's data and systems with ability to self-serve all the underlying data for our business and derive insights from them by partnering with data engineering, finance and other business teams. * Develop and socialize dashboards, reports, and other ways of enabling the team and company to answer product data questions in a self-serve way * Partner with other data scientists across the company to share knowledge and continually synthesize learnings across the organization You might thrive in this role if you have: * At least 10+ years of experience in Data Science roles within dynamic, outcome-driven organizations. * Expertise in statistics and causal inference, applied in both experimentation and observational causal inference studies. * Expertise in quantitative programming languages, such as Python and R. * Expertise in SQL, with extensive experience extracting large datasets and designing ETL workflows. * Experience developing and extracting insights from business intelligence tools, such as Mode, Tableau, and Looker. * Strategic and impact-driven mindset, capable of translating complex business problems into actionable frameworks. * Strong communication skills, including the ability to bridge technical and non-technical stakeholders and collaborate across various functions to ensure business impact. * Ability to craft clear data stories using decks, memos, and dashboards to drive decision-making at every level. * Best-in-class attention to detail and unwavering commitment to accuracy. . About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

**_What Data Science contributes to Cardinal Health_** The Data and 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. **_Department/Team Overview_** We are looking for a Data Scientist, Operations Research Analyst to join our Decision Science Solutions (DS2) team. Our mission is to improve our pharmaceutical supply chain's performance to better service our pharmacy customers, so that they can focus on their patients. The DS2 team consists of Supply Chain Data Scientists, Operations Research Analysts, Data Analysts, and Data Engineers. We work cross-functionally to solve problems leveraging a variety of skillsets and perspectives to achieve the best outcomes. We perform analyses, recommend solutions, and build products to enable better decision making in the following areas: + Distribution center network design and capacity planning + Facility layout and design; warehouse capacity and utilization + Warehouse process improvement + Labor management and automation + Inventory management: stocking strategies and replenishment policies + Transportation planning: first mile, middle mile, and final mile + Sales and operations planning (resource management in response to demand changes) **_Responsibilities_** As a Data Scientist in Supply Chain Operations, you will apply your knowledge of business processes, systems, data, and analytical tools to explore and identify root causes of problems. You will forecast future demand, build optimization and simulation models, and communicate actionable insights. You will work with cross-functional project teams to ideate, develop, and recommend solutions. Specific responsibilities are to: + Listen to clients and ask questions to clearly define business problems. + Perform exploratory analysis to determine root causes of problems and confirm/disprove hypotheses. + Develop predictive models to forecast future volumes that will drive capacity/resource needs. + Develop customer and product segmentation models and design our supply chain to support differentiated services. + Build optimization and simulation models to recommend capacity investments, resource plans, policy changes, and process changes to improve supply chain performance. + Develop prescriptive models using 3rd party optimization/simulation software and custom-build models. + Recommend solutions. Summarize the financial and operational impact of the recommendation and pros/cons of alternatives considered. + Work with Data Engineers to create data models for analyses. **_Qualifications_** + 2-4 years of experience, preferred + Bachelor's degree in a quantitative field, or equivalent work experience, preferred + MS/MBA with focus in Data Science, Operations Research, Industrial Engineering, or Statistics preferred + Demonstrated ability to apply Data Science and Operations Research techniques to logistics and supply chain management problems preferred + Experience with Structured Query Language (SQL) and working with databases preferred + Experience with data analysis tools such as R, Python, SQL, Alteryx, Tableau, and SAS preferred + Experience with Strategic Network Design, Simulation (e.g., AnyLogic), or Mathematical Programming (e.g., CPLEX) software preferred + Proven ability to work as part of a team as the key analytical resource + Excellent communication skills with an ability to explain quantitative analysis in simple business terms + Intellectual curiosity, humility, genuine respect and desire to help others + Bias for action and passion for driving change + Ability to travel up to 5% **_What is expected of you and others at this level_** + Applies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects + May contribute to the development of policies and procedures + Works on complex projects of large scope + Develops technical solutions to a wide range of difficult problems + Solutions are innovative and consistent with organization objectives + Completes work; independently receives general guidance on new projects + Work reviewed for purpose of meeting objectives + May act as a mentor to less experienced colleagues **Anticipated salary range:** $93,500 - $133,600 **Bonus eligible:** No **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:** 7/1/2025 *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 (***************************************************************************************************************************

The insurance Actuarial Group of Everest Insurance, a member of the Everest Re Group, Ltd. is currently recruiting for a Lead Senior Pricing Actuary role to provide support to Everest's Casualty Insurance business. This a hybrid position based out of our Warren or New York City offices. The ideal candidate will be high-energy, with a strong desire to learn and develop, and be attracted to the opportunity to develop new tools & capabilities within a rapidly expanding business. Responsibilities include but not limited to: * Large account pricing referrals * Continuous communication with Underwriting and support to develop strategic initiatives * Development and enhancement of rating models * Planning and portfolio strategy * Portfolio price and risk monitoring * New product development Qualifications, Education & Experience: * 7-10 years of experience in the property-casualty insurance industry with significant commercial line pricing experience * FCAS * Excel expertise a must. * Proficiency in at least one of the following is a plus: SQL, Excel VBA, Power BI, R, SAS, Python Knowledge, Skills & Competencies: * Enjoys fostering collaborative relationships * Flexible and responsive to dynamic business needs including tight turnaround times * Comfortable with autonomy, responsibility and visibility * Detail-oriented with strong problem solving skills and ability to learn concepts and software tools quickly. * Very strong written and communication skills that cover experience communicating with analytical stakeholders as well as business-oriented stakeholders. What if I don't meet every requirement? At Everest we are dedicated to building an inclusive and authentic workplace. So, if you are excited about this role but your past experience doesn't align perfectly with every element in the , we still encourage you to apply. You may be just the right candidate for this or other roles. Please let us know if you need any accommodations throughout the application or interview process. Our Culture At Everest, our purpose is to provide the world with protection. We help clients and businesses thrive, fuel global economies, and create sustainable value for our colleagues, shareholders and the communities that we serve. We also pride ourselves on having a unique and inclusive culture which is driven by a unified set of values and behaviors. Click here to learn more about our culture. * Our Values are the guiding principles that inform our decisions, actions and behaviors. They are an expression of our culture and an integral part of how we work: Talent. Thoughtful assumption of risk. Execution. Efficiency. Humility. Leadership. Collaboration. Inclusion and Belonging. * Our Colleague Behaviors define how we operate and interact with each other no matter our location, level or function: Respect everyone. Pursue better. Lead by example. Own our outcomes. Win together. All colleagues are held accountable to upholding and supporting our values and behaviors across the company. This includes day to day interactions with fellow colleagues, and the global communities we serve. For NY Only: The base salary range for this position is $150,000 - $210,000 annually. The offered rate of compensation will be based on individual education, experience, qualifications and work location. What if I don't meet every requirement? At Everest we are dedicated to building an inclusive and authentic workplace. So, if you are excited about this role but your past experience doesn't align perfectly with every element in the job description, we still encourage you to apply. You may be just the right candidate for this or other roles. Please let us know if you need any accommodations throughout the application or interview process. Our Culture At Everest, our purpose is to provide the world with protection. We help clients and businesses thrive, fuel global economies, and create sustainable value for our colleagues, shareholders and the communities that we serve. We also pride ourselves on having a unique and inclusive culture which is driven by a unified set of values and behaviors. Click here to learn more about our culture. * Our Values are the guiding principles that inform our decisions, actions and behaviors. They are an expression of our culture and an integral part of how we work: Talent. Thoughtful assumption of risk. Execution. Efficiency. Humility. Leadership. Collaboration. Inclusion and Belonging. * Our Colleague Behaviors define how we operate and interact with each other no matter our location, level or function: Respect everyone. Pursue better. Lead by example. Own our outcomes. Win together. All colleagues are held accountable to upholding and supporting our values and behaviors across the company. This includes day to day interactions with fellow colleagues, and the global communities we serve. Type: Regular Time Type: Full time Primary Location: Warren, NJ Additional Locations: New York, NY Everest is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or creed, sex (including pregnancy), sexual orientation, gender identity or expression, national origin or ancestry, citizenship, genetics, physical or mental disability, age, marital status, civil union status, family or parental status, veteran status, or any other characteristic protected by law. As part of this commitment, Everest will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Everest Benefits at *********************************. Everest U.S. Privacy Notice | Everest (everestglobal.com)

Hours: 40 Pay Details: $95,264 - $155,376 USD TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs. As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role. Line of Business: Analytics, Insights, & Artificial Intelligence : Department Overview: The US Financial Crime Risk Modeling & Advanced Analytics team within US Financial Crime department is responsible for developing, maintaining, and enhancing the Enterprise Anti-Money Laundering / Counter-Terrorism Financing (AML/CTF) models/AI solutions to comply with regulatory requirements/changes and internal policies, support TD's global AML/CTF strategies, address emerging risks, and be in accordance with best industry practice. We are seeking a Data Science specialist to join us to innovate, drive, and support initiatives and business as usual operations in multiple functional areas including, but not limited to, customer rating, sanctions screening, transaction monitoring, emerging risk, model performance monitoring, analytics and reporting. Job Description: The Data Scientist III provides technical leadership across the overall Analytics function which may have an enterprise mandate. This role generally provides deep technical knowledge and expertise in client interactions to explain complex data analysis related material. Depth & Scope: * Generally accountable for a significant business management area that typically has enterprise-wide impact or accountability * Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels * Undertakes and completes a variety of complex initiatives requiring seasoned specialist knowledge and/or the integration of cross functional processes * Position typically deals with senior/executive management * Works independently on activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size * Focuses on longer-range planning for functional area (e.g. 12 months or greater) * May manage and prioritize multiple projects at a given time Education & Experience: * Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate's degree preferred with either progressive project work experience or * 5+ year of relevant experience; higher degree education and research tenure can be counted Preferred Skills: * In lieu of 5+ years of relevant experience, we will consider 3+ years of relevant experience * Proficient with Python or equivalent programming language and SQL * Experience in Financial Crimes / Compliance Risk Analytics * Experience in optimization / testing / tuning of AML/CTF solutions * Experience with NetReveal, Quantifind, or similar analytics tools Customer Accountabilities: * Works closely with business owners to identify opportunities and serves as an ambassador for data science * Is familiar with the business context and data infrastructure and can translate business problems to viable data science solutions * Uses a wide range of programing languages (e.g. Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract insights from the big data * Visualizes insights from the data to tell and illustrate stories that clearly convey the meaning of results to decision-makers and stakeholders at every level of technical understanding * Collaborates with other partners, such as data and business analysts, software engineers, data engineers, and application developers to develop scalable and sustainable data science solutions that retains long term benefit to the business Shareholder Accountabilities: * Analytical thought leadership and stays current on developments in data mining and the application of data science * Solicits and offers ideas for improving business processes through insights with the objective of improving effectiveness and efficiency * Educates the organization on approaches, such as testing hypotheses and statistical validation of result * Helps the organization understand the principles and the math behind the scientist process to drive organizational alignment * Translates up to date information into continuous improvement activities that enhances performance * Adheres to enterprise frameworks or methodologies that relate to activities for business area * Ensures respective programs/policies/practices are well managed, meet business needs, comply with internal and external requirements, and align with business priorities * Participates in cross-functional/enterprise initiatives as a subject matter expert helping to identify risk/provide guidance for complex situations * Monitors service, productivity and assesses efficiency levels within own function and implements continuous process/performance improvements where opportunities exist * Leads/facilitates and/or implements action/remediation plans to address performance/risk/governance issues * Actively manages relationships within and across various business lines, corporate and/or control functions and ensures alignment with enterprise and/or regulatory requirements * Keeps abreast of emerging issues, trends, and evolving regulatory requirements and assesses potential impacts * Maintains a culture of risk management and control, supported by effective processes in alignment with risk appetite Employee/Team Accountabilities: * Participates fully as a member of the team, supports a positive work environment that promotes service to the business, quality, innovation and teamwork and ensures timely communication of issues/points of interest * Provides thought leadership and/or industry knowledge for own area of expertise in own area and participates in knowledge transfer within the team and business unit * Keeps current on emerging trends/developments and grows knowledge of the business, related tools and techniques * Participates in personal performance management and development activities, including cross training within own team * Keeps others informed and up to date about the status/progress of projects and/or all relevant or useful information related to day-to-day activities * Contributes to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices * Leads, motivates and develops relationships with internal and external business partners/stakeholders to develop productive working relationships * Contributes to a fair, positive and equitable environment that supports a diverse workforce * Acts as a brand ambassador for your business area/function and the bank, both internally and/or externally Who We Are: TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues. TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you've got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we're here to support you towards your goals. As an organization, we keep growing - and so will you. Our Total Rewards Package Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical and mental well-being goals. Total Rewards at TD includes base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan) and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off (including Vacation PTO, Flex PTO, and Holiday PTO), banking benefits and discounts, career development, and reward and recognition. Learn more Additional Information: We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home. Colleague Development If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD - and we're committed to helping you identify opportunities that support your goals. Training & Onboarding We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role. Interview Process We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call. Accommodation TD Bank is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or any other characteristic protected under applicable federal, state, or local law. If you are an applicant with a disability and need accommodations to complete the application process, please email TD Bank US Workplace Accommodations Program at ***************. Include your full name, best way to reach you and the accommodation needed to assist you with the applicant process.

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

This role has been created to directly support the US Sales Operations team and US Business Units. This role interfaces across the organization to answer challenging analytical questions and highlight insights to customers such as revenue generation ideas, opportunities and observations that focus on behaviors that reflect potential loss in advance. This position will provide creative solutions to help solve complex business problems using advanced analytical techniques while leveraging both internal and external data sources; along with frequent interaction with other cross-functional business units. The role will provide the candidate with an exceptionally broad view of every aspect of Zoetis business and serve as critical support for our US Petcare. This position involves working with structured and unstructured, real-world data and requires a candidate who is comfortable thinking independently about solving business problems. To be successful the ideal candidate will demonstrate a thirst for knowledge and natural curiosity that facilitates rapid learning of Zoetis business model and our data infrastructure at a scale that supports a growing $2b region. Analysts will produce insightful analytic data models and visualizations depicting Zoetis Sales Force performance, Optimization opportunities and proactive direction for our Sales Organization). Candidates must be self-motivated, detail-oriented, have the ability to work with limited supervision and must be comfortable in an environment of changing priorities POSITION RESPONSIBILITIES * Understand and use statistical predictive models such as regression and time series models to identify trends, make forecasts and provide projected figures * Perform machine learning, natural language, such as classification, collaborative filtering, association rules, sentiment analysis and topic modeling * Develop new Dashboards and Self-Serve capabilities that proactively enable the Field Force, positioning data to leaders for Sales optimization and Performance Management * Drive initiatives focused on Big Data and Advanced Business Analytics, in diverse domains such as product sales, marketing research, pricing; communicate results and educate others through reports and presentations ORGANIZATIONAL RELATIONSHIPS Internal: * CoE BA/SP/MR team * Commercial Leadership (US) * Species peers (US) EDUCATION AND EXPERIENCE * Masters from an accredited college/university in Computer Science, Statistics, Mathematics, with a minimum of two years of relevant experience 2 years of professional experience working as a Data Scientist * Microsoft Azure - Machine Learning Studio, HD Insight, * Proficiency in analysis - "R" packages, programming languages (Python) * Tableau Certification - Developer / Administrator * Strong knowledge in the following fields: machine learning, data visualization, statistical modeling, data mining and information retrieval * Strong analytical mind and in-depth understanding of key business drivers * Strong interpersonal skills and excellent written and verbal communication skills * Fluency in English required * Experience with command-line scripting, data structures and algorithms and ability to work with SQL Server, processing large amounts of data in a cloud environment * All Candidates should be prepared to discuss experiences and competency with SQL, Tableau, "R" / Python, Microsoft Azure TECHNICAL SKILLS REQUIRMENT * Statistics / Quantitative Analytics * Experience working with structured & unstructured data * Visualization * Business Acumen * SQL Server Physical Position Requirements Travel requirement: less than 20% Full time Regular Colleague Any unsolicited resumes sent to Zoetis from a third party, such as an Agency recruiter, including unsolicited resumes sent to a Zoetis mailing address, fax machine or email address, directly to Zoetis employees, or to Zoetis resume database will be considered Zoetis property. Zoetis will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. Zoetis will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees. This includes any Agency that is an approved/engaged vendor but does not have the appropriate approvals to be engaged on a search. Zoetis is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status or any other protected classification. Disabled individuals are given an equal opportunity to use our online application system. We offer reasonable accommodations as an alternative if requested by an individual with a disability. Please contact Zoetis Colleague Services at ********************************** to request an accommodation. Zoetis also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as employment eligibility verification requirements of the Immigration and Nationality Act. All applicants must possess or obtain authorization to work in the US for Zoetis. Zoetis retains sole and exclusive discretion to pursue sponsorship for the acquisition or maintenance of nonimmigrant status and employment eligibility, considering factors such as availability of qualified US workers. Individuals requiring sponsorship must disclose this fact. Please note that Zoetis seeks information related to job applications from candidates for jobs in the U.S. solely via the following: (1) our company website at ********************** site, or (2) via email to/from addresses using only the Zoetis domain of "@zoetis.com". In addition, Zoetis does not use Google Hangout for any recruitment related activities. Any solicitation or request for information related to job applications with Zoetis via any other means and/or utilizing email addresses with any other domain should be disregarded. In addition, Zoetis will never ask candidates to make any type of personal financial investment related to gaining employment with Zoetis.

The Senior Data Scientist independently develops statistical models that will enable future growth and profitability for our book of business through appropriate pricing and underwriting of risk. He/she is responsible for the formulation of statistical models and direct application of models to address insurance business issues. RESPONSIBILITIES Produces complex predictive models which enable the creation of rating plans and evaluation of risk and profitability. Develops studies that evaluate new business models for customer retention and growth initiatives as well as estimate the lifetime value of customer segments. Identifies drivers of insurance costs, understanding the economics of customers' behavior and estimating the expected losses for segments of risks using advanced statistical and analytical techniques on large data sets. Develop or participate in the development of the overall analytical framework to support the company's strategy for growth Communicates analysis, strategy and recommendations to diverse audiences, including technical and non-technical. Collaborates with upper management to assess the potential effects of proposed solutions and incorporates these considerations into recommendations. Manages projects of high complexity. Perform other job-related duties as assigned. QUALIFICATIONS 3 or more years of experience developing and implementing multivariate predictive models using GLM and other statistical methods. PhD in economics, statistics, or related field required. Or in the alternative, a Master's degree in Statistics, Engineering, Mathematics, Economics, or a related field (foreign educational equivalent accepted) and five (5) years of experience as indicated above. High level of organizational and project management experience handling multiple projects simultaneously. Advanced skills and training in predictive modeling, data mining and other quantitative and research analytics (Non-Linear Regression Analysis, Multivariate Analysis, Bayesian Methods, Generalized Linear Models, Decision Trees, Non Parametric estimations, etc.). Ability to apply various predictive modeling techniques to develop solutions to various real-world problems. Hands-on experience developing and delivering structured, methodology projects. Exceptional programming ability in SAS, SQL, R or other programming languages. Excellent written and oral communication and presentation skills. In-depth understanding of database principles and experience working with large databases. Ability to influence and guide across departmental boundaries. SALARY RANGE The pay range for this position is $134,500 to $165,000 annually. Actual compensation will vary based on multiple factors, including employee knowledge and experience, role scope, business needs, geographical location, and internal equity. Candidates with more experience may be considered for an elevated salary range, depending on qualifications and fit. PERKS & BENEFITS 4 weeks accrued paid time off + 9 paid national holidays per year Low cost and excellent coverage health insurance options that start on Day 1 (medical, dental, vision) Annual 401(k) Employer Contribution Free onsite gym at our Woodbridge Location Resources to promote Professional Development (LinkedIn Learning and licensure assistance) Robust health and wellness program and fitness reimbursements Various Paid Family leave options including Paid Parental Leave Tuition Reimbursement ABOUT THE COMPANY The Plymouth Rock Company and its affiliated group of companies write and manage over $2 billion in personal and commercial auto and homeowner's insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 1,900 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of “A-/Excellent”.

Job Description You could work anywhere. Why us? Innovation: Jerry is disrupting the car industry. With our super app, we are ushering in a new era for 300M drivers in the US and radically improving the consumer automotive experience. Impactful Projects: Architect complex deep learning models with massive real-world applications. Startup Energy: Move quickly, test, iterate and own projects end-to-end in an environment where your ideas matter and your impact is felt from day one. Brilliant Teammates: Work with extremely talented and passionate engineers, data scientists, and analysts from companies like NVIDIA, Tencent, Alibaba, ByteDance, etc. About the opportunity: We are looking for a Staff Data Scientist who is energized by working with a high caliber team and making a material difference in the lives of millions to join us! Reporting directly to our cofounder/CTO, you will architect and deploy advanced ML models with massive real-world applications (e.g. model & predict user behavior, leverage LLMs and custom-built components to optimize our chatbot & voicebot, etc). Come play a key role in helping us grow from 5M to 50M customers and become a $10B company in the next 4 years! How you will make an impact: Develop and architect advanced machine learning models to address critical business challenges and drive company-wide strategic initiatives Take ownership of the end-to-end modeling process, from initial ideation to model deployment and maintenance Conduct thorough data preparation and analysis to ensure the quality and relevance of input data for modeling tasks Collaborate closely with cross-functional teams, including Product and Data Engineering to productize and deploy models into production systems Contribute to large-scale company initiatives aimed at solving problems that haven’t yet been touched by anyone at Jerry Ideal profile: PhD in Physics or related field Deep understanding of machine learning algorithms and techniques, with experience in building and deploying models from scratch. Strong analytical and problem-solving skills, with the ability to translate complex business requirements into practical modeling solutions. Passion for real-world application of machine learning, with a desire to make a significant impact on large-scale business initiatives. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at ******************* About Jerry.ai: Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.

About the Team OpenAI's User Operations team is building world-class automation and knowledge systems that will reduce friction for users, provide industry-leading support, and serve as a proving ground for OpenAI's next-generation technology. About the Role As an early member of our User Operations Data Science team, you will help build a data-driven culture around hypothesis testing, insight generation, and strategy. You should expect to work on a wide range of projects like defining north-star metrics, designing experiments, estimating incrementality, and creating predictive models. You will partner with our automation engineering team and our data engineering team to develop the data infrastructure for these knowledge systems. Most importantly, you should expect to be a core member of the Business data science team, helping to bring our technology to a wide range of customers and supporting our self-serve and sales-led motions. This role is based in San Francisco, CA or New York, NY. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design and deploy predictive models to forecast support demand, proactively identify user friction, and drive data-informed decision-making. Collaborate with engineering to refine autonomous agents, providing insights on training data, agent performance, and rapid iteration loops. Provide key product insights for PMs and engineering teams, shaping priorities and guiding enterprise-grade user support strategies. Mentor other data scientists, establishing standards for data quality, experimentation, and ethical AI use. Manage cross-functional data science projects about revenue, marketing, pricing, usage, and other topics core to the business. Establish a data-driven culture by driving the definition, tracking, and operationalizing of metrics Become an expert in OpenAI's data and systems with ability to self-serve all the underlying data for our business and derive insights from them by partnering with data engineering, finance and other business teams. Develop and socialize dashboards, reports, and other ways of enabling the team and company to answer product data questions in a self-serve way Partner with other data scientists across the company to share knowledge and continually synthesize learnings across the organization You might thrive in this role if you have: At least 10+ years of experience in Data Science roles within dynamic, outcome-driven organizations. Expertise in statistics and causal inference, applied in both experimentation and observational causal inference studies. Expertise in quantitative programming languages, such as Python and R. Expertise in SQL, with extensive experience extracting large datasets and designing ETL workflows. Experience developing and extracting insights from business intelligence tools, such as Mode, Tableau, and Looker. Strategic and impact-driven mindset, capable of translating complex business problems into actionable frameworks. Strong communication skills, including the ability to bridge technical and non-technical stakeholders and collaborate across various functions to ensure business impact. Ability to craft clear data stories using decks, memos, and dashboards to drive decision-making at every level. Best-in-class attention to detail and unwavering commitment to accuracy. . About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

New York, New York, United States of America **Hours:** 40 **Pay Details:** $95,264 - $155,376 USD TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs. As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role. **Line of Business:** Analytics, Insights, & Artificial Intelligence **:** **Department Overview:** The US Financial Crime Risk Modeling & Advanced Analytics team within US Financial Crime department is responsible for developing, maintaining, and enhancing the Enterprise Anti-Money Laundering / Counter-Terrorism Financing (AML/CTF) models/AI solutions to comply with regulatory requirements/changes and internal policies, support TD's global AML/CTF strategies, address emerging risks, and be in accordance with best industry practice. We are seeking a Data Science specialist to join us to innovate, drive, and support initiatives and business as usual operations in multiple functional areas including, but not limited to, customer rating, sanctions screening, transaction monitoring, emerging risk, model performance monitoring, analytics and reporting. **Job Description:** The Data Scientist III provides technical leadership across the overall Analytics function which may have an enterprise mandate. This role generally provides deep technical knowledge and expertise in client interactions to explain complex data analysis related material. **Depth & Scope:** + Generally accountable for a significant business management area that typically has enterprise-wide impact or accountability + Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels + Undertakes and completes a variety of complex initiatives requiring seasoned specialist knowledge and/or the integration of cross functional processes + Position typically deals with senior/executive management + Works independently on activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size + Focuses on longer-range planning for functional area (e.g. 12 months or greater) + May manage and prioritize multiple projects at a given time **Education & Experience:** + Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate's degree preferred with either progressive project work experience or + 5+ year of relevantexperience; higher degree education and research tenure can be counted **Preferred Skills:** + In lieu of 5+ years of relevant experience, we will consider 3+ years of relevant experience + Proficient with Python or equivalent programming language and SQL + Experience in Financial Crimes / Compliance Risk Analytics + Experience in optimization / testing / tuning of AML/CTF solutions + Experience with NetReveal, Quantifind, or similar analytics tools **Customer Accountabilities:** + Works closely with business owners to identify opportunities and serves as an ambassador for data science + Is familiar with the business context and data infrastructure and can translate business problems to viable data science solutions + Uses a wide range of programing languages (e.g. Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract insights from the big data + Visualizes insights from the data to tell and illustrate stories that clearly convey the meaning of results to decision-makers and stakeholders at every level of technical understanding + Collaborates with other partners, such as data and business analysts, software engineers, data engineers, and application developers to develop scalable and sustainable data science solutions that retains long term benefit to the business **Shareholder Accountabilities:** + Analytical thought leadership and stays current on developments in data mining and the application of data science + Solicits and offers ideas for improving business processes through insights with the objective of improving effectiveness and efficiency + Educates the organization on approaches, such as testing hypotheses and statistical validation of result + Helps the organization understand the principles and the math behind the scientist process to drive organizational alignment + Translates up to date information into continuous improvement activities that enhances performance + Adheres to enterprise frameworks or methodologies that relate to activities for business area + Ensures respective programs/policies/practices are well managed, meet business needs, comply with internal and external requirements, and align with business priorities + Participates in cross-functional/enterprise initiatives as a subject matter expert helping to identify risk/provide guidance for complex situations + Monitors service, productivity and assesses efficiency levels within own function and implements continuous process/performance improvements where opportunities exist + Leads/facilitates and/or implements action/remediation plans to address performance/risk/governance issues + Actively manages relationships within and across various business lines, corporate and/or control functions and ensures alignment with enterprise and/or regulatory requirements + Keeps abreast of emerging issues, trends, and evolving regulatory requirements and assesses potential impacts + Maintains a culture of risk management and control, supported by effective processes in alignment with risk appetite **Employee/Team Accountabilities:** + Participates fully as a member of the team, supports a positive work environment that promotes service to the business, quality, innovation and teamwork and ensures timely communication of issues/points of interest + Provides thought leadership and/or industry knowledge for own area of expertise in own area and participates in knowledge transfer within the team and business unit + Keeps current on emerging trends/developments and grows knowledge of the business, related tools and techniques + Participates in personal performance management and development activities, including cross training within own team + Keeps others informed and up to date about the status/progress of projects and/or all relevant or useful information related to day-to-day activities + Contributes to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices + Leads, motivates and develops relationships with internal and external business partners/stakeholders to develop productive working relationships + Contributes to a fair, positive and equitable environment that supports a diverse workforce + Acts as a brand ambassador for your business area/function and the bank, both internally and/or externally **Who We Are:** TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues. TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you've got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we're here to support you towards your goals. As an organization, we keep growing - and so will you. **Our Total Rewards Package** Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical and mental well-being goals. Total Rewards at TD includes base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan) and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off (including Vacation PTO, Flex PTO, and Holiday PTO), banking benefits and discounts, career development, and reward and recognition. Learn more (*************************************** **Additional Information:** We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home. **Colleague Development** If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD - and we're committed to helping you identify opportunities that support your goals. **Training & Onboarding** We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role. **Interview Process** We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call. **Accommodation** TD Bank is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or any other characteristic protected under applicable federal, state, or local law. If you are an applicant with a disability and need accommodations to complete the application process, please email TD Bank US Workplace Accommodations Program at *************** . Include your full name, best way to reach you and the accommodation needed to assist you with the applicant process. Federal law prohibits job discrimination based on race, color, sex, sexual orientation, gender identity, national origin, religion, age, equal pay, disability and genetic information.

Everest Group, Ltd. (Everest), is a leading global reinsurance and insurance provider, operating for nearly 50 years through subsidiaries in North America, Latin America, the UK & Ireland, Continental Europe and Asia Pacific regions. Throughout our history, Everest has maintained its discipline and focuses on creating long-term value through underwriting excellence and strong risk and capital management. Our strengths include extensive product and distribution capabilities, a strong balance sheet, and an innovative culture. Our most critical asset is our people. We offer dynamic training & professional development to our employees. We also offer generous tuition/continuing education reimbursement programs, mentoring opportunities, flexible work arrangements, and Colleague Resource Groups. The insurance Actuarial Group of Everest Insurance, a member of the Everest Re Group, Ltd. is currently recruiting for a Lead Senior Pricing Actuary role to provide support to Everest's Casualty Insurance business. This a hybrid position based out of our Warren or New York City offices. The ideal candidate will be high-energy, with a strong desire to learn and develop, and be attracted to the opportunity to develop new tools & capabilities within a rapidly expanding business. Responsibilities include but not limited to: * Development and enhancement of portfolio management tools and rating models * Portfolio price and risk monitoring * Planning and portfolio strategy * Large account pricing referrals * Continuous communication with Underwriting and support to develop strategic initiatives. * New product development Qualifications, Education & Experience: * 7-10 years of experience in the property-casualty insurance industry with significant commercial line pricing experience * FCAS * Excel expertise a must. * Proficiency in SQL and Excel VBA * Strong aptitude for programming languages Knowledge, Skills & Competencies: * Enjoys fostering collaborative relationships. * Flexible and responsive to dynamic business needs including tight turnaround times. * Comfortable with autonomy, responsibility, and visibility * Detail-oriented with strong problem-solving skills and ability to learn concepts and software tools quickly. * Very strong written and communication skills that cover experience communicating with analytical stakeholders as well as business-oriented stakeholders. What if I don't meet every requirement? At Everest we are dedicated to building an inclusive and authentic workplace. So, if you are excited about this role but your past experience doesn't align perfectly with every element in the , we still encourage you to apply. You may be just the right candidate for this or other roles. Please let us know if you need any accommodations throughout the application or interview process. For NJ and NY Only: The base salary range for this position is $152,000 - $205,000 annually. The offered rate of compensation will be based on individual education, experience, qualifications and work location. What if I don't meet every requirement? At Everest we are dedicated to building an inclusive and authentic workplace. So, if you are excited about this role but your past experience doesn't align perfectly with every element in the job description, we still encourage you to apply. You may be just the right candidate for this or other roles. Please let us know if you need any accommodations throughout the application or interview process. Our Culture At Everest, our purpose is to provide the world with protection. We help clients and businesses thrive, fuel global economies, and create sustainable value for our colleagues, shareholders and the communities that we serve. We also pride ourselves on having a unique and inclusive culture which is driven by a unified set of values and behaviors. Click here to learn more about our culture. * Our Values are the guiding principles that inform our decisions, actions and behaviors. They are an expression of our culture and an integral part of how we work: Talent. Thoughtful assumption of risk. Execution. Efficiency. Humility. Leadership. Collaboration. Inclusion and Belonging. * Our Colleague Behaviors define how we operate and interact with each other no matter our location, level or function: Respect everyone. Pursue better. Lead by example. Own our outcomes. Win together. All colleagues are held accountable to upholding and supporting our values and behaviors across the company. This includes day to day interactions with fellow colleagues, and the global communities we serve. Type: Regular Time Type: Full time Primary Location: Warren, NJ Additional Locations: New York, NY Everest is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or creed, sex (including pregnancy), sexual orientation, gender identity or expression, national origin or ancestry, citizenship, genetics, physical or mental disability, age, marital status, civil union status, family or parental status, veteran status, or any other characteristic protected by law. As part of this commitment, Everest will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Everest Benefits at *********************************. Everest U.S. Privacy Notice | Everest (everestglobal.com)