Senior data scientist jobs in Irvington, NJ - 1,154 jobs

AWS is seeking an exceptional Principal Data Scientist to join our Agentic AI ProServe Experience (APEX) team. This role calls for an individual ready to tackle large-scale agentic AI challenges and drive innovative ML/AI practices that transform professional services delivery and address real-world customer needs. Reporting directly to the leader of APEX, this position is essential for revolutionizing AWS Professional Services' delivery capabilities through advanced agent-based AI systems. In addition to building ProServe Agents, you will driving their adoption across the ProServe builder community, enabling transformative customer engagements and partner enablement through AWS tools and services such as Kiro, AWS Transform, Strands, Bedrock, and Agentcore. The ideal candidate will possess extensive experience in agentic AI systems, multi-agent architectures, and complex data science environments, developing solutions that advance the state-of-the-art in agent-based professional services delivery. Proficiency with Machine Learning, Large Language Models, reinforcement learning, and advanced analytics techniques is essential, along with the ability to convey these technical concepts in simple terms to diverse stakeholders. The role demands both deep technical expertise and exceptional communication skills to drive adoption across the ProServe organization and partner ecosystem. Key job responsibilities Scientific Leadership * Define and drive the scientific vision and roadmap for ProServe Agents and the agentic AI professional services portfolio * Lead research and development initiatives to advance the state-of-the-art in agent-based AI systems for professional services workflows * Collaborate with senior scientists across AWS to pioneer novel approaches to agent learning, reasoning, and interaction * Publish innovative research at top-tier conferences and influence the broader scientific community * Evaluate emerging research and identify opportunities to integrate techniques into ProServe Agent architecture Technical Excellence * Architect complex multi-agent systems that can effectively understand, reason about, and execute professional services workflows at enterprise scale * Lead the integration of Gen AI and ML-based methods across ProServe delivery practices, spearheading AI-driven agent development and adoption initiatives * Establish rigorous evaluation frameworks and metrics for measuring agent effectiveness, safety, and business impact * Develop production-ready agentic solutions leveraging AWS tools including Kiro, AWS Transform, Strands, Bedrock, and Bedrock AgentCore Customer & Business Impact * Translate complex technical concepts into clear business value propositions for ProServe builders, customers, and partners * Lead high-visibility technical delivery for strategic customers, demonstrating ProServe Agent capabilities * Drive adoption of ProServe Agents across the AWS Professional Services builder community, transforming delivery methodologies * Enable AWS partners on agentic delivery mechanisms and best practices * Analyze complex enterprise problems and design AI agent solutions that deliver measurable business outcomes * Collaborate effectively with ProServe delivery teams, product, engineering, and design teams to create and launch innovative agent-based solutions Communicate complex agentic AI concepts clearly to diverse audiences across ProServe, customers, and partners Leadership & Mentorship * Provide thought leadership and technical direction on agentic AI strategies and their applications in professional services * Drive innovation by sharing new technical solutions and product ideas across AWS teams * Mentor and guide the data science, ML engineering, and ProServe builder communities * Foster collaboration with key stakeholders to enhance the AWS ProServe experience Basic Qualifications - Master's degree in Math, Statistics, Computer Science, or related Science field, or experience in data science, machine learning or data mining - Experience building machine learning models or developing algorithms for business application Preferred Qualifications - 8+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience - 4+ years of practical machine learning experience - 2+ years of working with or evaluating AI systems experience - Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience debugging, profiling, and implementing best software engineering practices in large-scale systems - Experience with one of the following areas: machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP) or related applications - Have publications at top-tier peer-reviewed conferences or journals - Experience with AWS or cloud technologies - Experience in technical leadership of development, testing, and implementation of large-scale, complex technology projects - Experience driving collaborative projects from conception to delivery, or experience in development or technical support - Experience creating and delivering written and oral communications for technical and non-technical audiences Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at ******************************* . USA, CA, Mountain View - 217,800.00 - 294,700.00 USD annually USA, CA, San Diego - 189,400.00 - 256,200.00 USD annually USA, GA, Atlanta - 189,400.00 - 256,200.00 USD annually USA, MA, Boston - 189,400.00 - 256,200.00 USD annually USA, NY, New York - 208,300.00 - 281,800.00 USD annually USA, TX, Austin - 189,400.00 - 256,200.00 USD annually USA, TX, Dallas - 189,400.00 - 256,200.00 USD annually USA, VA, Arlington - 189,400.00 - 256,200.00 USD annually USA, WA, Seattle - 189,400.00 - 256,200.00 USD annually

Alloy is where you belong! Alloy helps solve the identity risk problem for companies that offer financial products by enabling them to outpace fraud and confidently serve more people around the world. Over 700 of the world's largest financial institutions and fintechs turn to Alloy to take control of fraud, credit, and compliance risk, and grow with the clearest picture of their customers. Through our values: Be Bold, Get Scrappy, Collaborate, and Celebrate Our Differences, we are creating a workplace where you can grow, thrive, and belong. See how we've been continuously recognized and named one of Inc. Magazine's Best Workplaces, Forbes America's Best Startup Employers, Best Fintech to Work for by American Banker, year after year. Check out our investors and read more about us here. About the team The Client Insights team focuses on helping clients get the most value out of their data. We rely on analytics and machine learning to help clients improve their policies, better detect fraud, and stay up to date with industry best practices. The Client Insights team is made up of data scientists and full stack engineers who are working to deliver customer-facing tools that leverage client data to enhance the agent experience and quicker detect fraud. Alloy operates in a hybrid-work environment. We look to foster collaboration and community by having our local employees onsite twice a week, and remote employees onsite once a quarter. What you'll be doing At Alloy, we aim to help our clients protect themselves from the rapidly increasing and ever-changing threat of fraud, and our Client Insights team is part of the core foundation supporting that effort. With thousands of attributes coming from our portfolio of data partners tied to hundreds of millions of entities across our customer base, we have a massive trove of data assets at our disposal that we've only just begun to take advantage of. As a Senior Data Scientist on the Client Insights team, you will be spearheading business-critical efforts. Your responsibilities will be to: Apply statistical and machine learning techniques to develop customer-facing models that directly influence fraud prevention outcomes. Work closely with application engineers to operationalize models you've built, ensuring they meet rigors for customer usage, including model performance tracking and observability, and have mechanisms for retraining. Take the initiative to innovate on our current models and apply new methodologies to new and existing problems and products. Write clear, thoughtful documentation that makes data pipelines, modeling decisions, and trade-offs easy to understand and maintain. Partner with engineering and product leads to provide guidance and leadership in roadmap planning. Anticipate future support and maintenance overhead for the data-driven features and models you've built. Leverage a deep, data-driven understanding of the key drivers and metrics underpinning Alloy's products and business lines to draw insights and make recommendations that will help the company grow and scale effectively. Conduct bespoke analyses and research for new customer use cases that support future development of data science products. Who we're looking for You are: Building with the end solution in mind. Able to communicate complicated concepts to a non-technical audience without diluting the complexity of the work. Able to build strong cross-functional relationships within Alloy. Naturally curious with a knack for asking tough questions. A team player. You believe that big things happen when the right people are working together. Humble. Mistakes happen and owning them helps us learn and move on quickly Product-oriented. You have a desire to understand Alloy's business, strategy and priorities to help guide future product development You have: 6+ years of relevant experience doing modeling and data science work, conducting advanced analytics and building/iterating on real-world, production models. 2+ years experience leading projects Advanced proficiency in scripting languages like Python and querying languages like SQL Experience with classification, clustering, regression, and time series models. Experience working with unbalanced data sets Experience building models from scratch, iterating, and owning projects end to end. Nice to Haves: Professional experience in fraud detection Experience with AWS SageMaker Experience using: Airflow, Spark, Dbt, Git, Hex, Looker Alloy is committed to fair and equitable compensation practices. Below is the anticipated starting base compensation range for this role; however, pay may vary depending on job-related knowledge, in-demand skills, relevant experience, and/or geography. In addition to a competitive base salary, this position is also eligible for equity awards in the form of stock options (ISOs) as well as a competitive total benefits package. Your recruiter will be happy to walk you through the details and what compensation could look like for you specifically! This position has a salary range of $165,000 to $200,000. Benefits and Perks Unlimited PTO and flexible work policy Employee stock options Medical, dental, vision plans with HSA (monthly employer contribution) and FSA options 401k with 100% match up to 4% of annual employee compensation Eligible new parents receive 16 weeks of paid parental leave Home office stipend for new employees Annual Learning & Development annual stipend Well-being benefits include access to ClassPass, OneMedical, and Spring Health Hybrid work environment: our employees local to NYC are expected to work Tuesdays and Thursdays from our HQ in Union Square, Manhattan. Tasty lunches catered from a variety of local restaurants and frequent employee-organized cultural events contribute to our positive office energy. On Monday/Wednesday/Friday most employees Zoom into work from home while some take advantage of the quieter office. We're a lean team, so your impact will be felt immediately. If this all sounds like a good fit for you, why not join us? How to Apply Apply right here. You've found the application! Alloy is proud to be an equal opportunity workplace and employer. We're committed to equal opportunity regardless of race, color, ancestry, religion, gender, gender identity, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status. We are committed to an inclusive interview experience and provide reasonable accommodations to applicants with visible and invisible disabilities. We encourage applicants to share needed accommodations with their recruiter. All Alloy jobs are listed on our careers page. Any communication during the recruitment process, including interview requests or job offers, will come directly from a recruiting team member with an alloy.com email address. We do not use outside applications or automated text messaging in our recruiting process. We will not ask for any sensitive financial or identification information during the recruiting process. If you're ever unsure, please contact us directly via our website before sharing personal information.

At Angi, we've had one simple mission for 30 years: get jobs done well. We make it happen by connecting homeowners with reliable pros who have the skills they need - and connecting pros with homeowners who have the jobs they want. Angi at a glance: A new homeowner turns to Angi every second Our network has 150,000+ skilled pros in 50+ service categories 150,000,000+ projects brought to Angi (and counting) Why join Angi: Angi is defining the future of the home services industry, creating an environment where homeowners, service professionals and employees benefit from more jobs done well. For homeowners, our platform makes it easier than ever to find a skilled pro for repairs, renovations, and everything in between. For pros, we're a business partner who helps them find the work they want and grow their business. We believe home is the most important place on earth, and so we work hard for our homeowners and our pros - making a real impact on families, communities, and livelihoods. Angi is an amazing place to call home. We can't wait to welcome you. About the role: Angi is seeking an exceptional Senior Data Scientist who can enable our transformation into a world-class online marketplace. The role is on our Data Science & Machine Learning team, tackling challenges such as search ranking, paid marketing optimization, and leveraging predictive models to enhance our product and consumer experience. What you'll do: Model Development & Data Strategy: Lead development of predictive models and algorithms to improve our Service Professional product and operations. Success in these areas will impact user experience & engagement, retention, and sales conversion rates - critical metrics for business success. Model Deployment: Implement robust MLOps practices to ensure the seamless deployment and scalability of predictive models. This includes automating model training, versioning, monitoring, and deployment processes to enable fast, reliable delivery of machine learning solutions into production environments. Model Evaluation: Develop robust design of experiment and statistical frameworks to evaluate and measure the impact of your data science solutions. Collaboration with Cross-Functional Teams: Work closely with a strong team of engineers, product managers, sales directors, and designers to build scalable and high-impact solutions. Collaborate on the end-to-end development process, from ideation to deployment, ensuring that data-driven solutions are seamlessly integrated into our products and services. Innovation: Foster innovation within the team, exploring new approaches and techniques to solve complex business problems. Mentorship: Guide junior team members and foster a culture of continuous learning and technical excellence. Lead and encourage innovation and knowledge sharing to enhance the team's capabilities in advanced data science techniques from both industry and academia. Who you are: You have a Master's or Ph.D. in a quantitative field (e.g., Computer Science, Statistics, Mathematics, or related fields). You have 5+ years of experience in data science & machine learning, ideally within the tech industry & marketplace environments. You are an expert in machine learning and statistical model development and have experience designing experiments to evaluate and measure the impact of your models. You have a proven track record of deploying highly impactful machine learning models into production environments. You are proficient in SQL and Python, and have experience with cloud ML solutions. You have excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders. We value diversity We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences. Compensation & Benefits: The salary band for this position ranges from $150,000 to $220,000, commensurate with experience and performance. Compensation may vary based on factors such as cost of living. This position will be eligible for a competitive year end performance bonus & equity package. Full medical, dental, vision package to fit your needs Flexible vacation policy; work hard and take time when you need it Retirement plan with company match (401K) and parental leave benefits The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world #LI-Remote #BI-Remote

Medidata follows a hybrid office policy in which employees who are hired for an in-person position are expected to work on site a certain number of days per week in accordance with Company policy. About our Company: Medidata is powering smarter treatments and healthier people through digital solutions to support clinical trials. Celebrating 25 years of ground-breaking technological innovation across more than 36,000 trials and 11 million patients, Medidata offers industry-leading expertise, analytics-powered insights, and one of the largest clinical trial data sets in the industry. More than 1 million users trust Medidata's seamless, end-to-end platform to improve patient experiences, accelerate clinical breakthroughs, and bring therapies to market faster. Discover more at ***************** About the Team: Platform AI organization is building pioneer innovative AI products based on the largest collection of clinical data in the world. Our AI teams are staffed with passionate technology and scientific experts looking to solve the most complex questions facing drug development through the use of machine learning and AI. We are looking for individuals who will solve the most complex questions facing the industry today innovative ML techniques based on both classical and GenAI approaches. The AI features developed will power modern clinical trial study design and study conduct with Rave and Patient Cloud products. You will report to Senior Manager of Data Science, and partner with all of the partner functions including Data Science, Product, and Engineering. Responsibilities: Your are an experienced Data Scientist who will design, implement, and productionize new AI driven features integrated with Medidata products Design, develop and validate machine learning models for novel clinical trial applications. Interact with product team to grasp product needs and provide AI solution (data, modeling strategies, and model serving). Develop prototypes that communicate how models can be used within customer facing products Evaluate and assess novel tools, algorithms, and technologies to be an AI community enabler. Build end-to-end machine learning pipelines from data curation, processing, model building, model evaluation, to model deployment for production. Lead junior developers in implementations of AI tasks and drive technical decisions across teams. Qualifications: Master's or PhD is required in a computational field such as Data Science, Computer Science, Mathematics, Statistics, or related field and a minimum of 5 years of experience Proficiency using Python, SQL, Linux shell scripting, AWS, Docker, and Git Experience with AI service development, familiar with different model serving strategies and service basics (performance, latency, scalability, etc) Technical leadership in both hard and soft skills, proactive, clear, and efficient in communication Experience with deep learning is preferred Previous experience with deploying GPU based models to AWS is a plus Nice to have(s) but not required... Experience with LLM or transformer based algorithms and methods Familiarity with NLP in healthcare data datasets in production Familiarity with machine learning infrastructure and frameworks, CI/CD, and MLOps The salary range posted below refers only to positions that will be physically based in New York City. As with all roles, Medidata sets ranges based on a number of factors including function, level, candidate expertise and experience, and geographic location. Pay ranges for candidates in locations other than New York City, may differ based on the local market data in that region. The base salary pay range for this position is $114,750-$153,000. Base pay is one part of the Total Rewards that Medidata provides to compensate and recognize employees for their work. Most sales positions are eligible for a commission on the terms of applicable plan documents, and many of Medidata's non-sales positions are eligible for annual bonuses. Medidata believes that benefits should connect you to the support you need when it matters most and provides best-in-class benefits, including medical, dental, life and disability insurance; 401(k) matching; flexible paid time off; and 10 paid holidays per year. Equal Employment Opportunity: In order to provide equal employment and advancement opportunities to all individuals, employment decisions at Medidata are based on merit, qualifications and abilities. Medidata is committed to a policy of non-discrimination and equal opportunity for all employees and qualified applicants without regard to race, color, religion, gender, sex (including pregnancy, childbirth or medical or common conditions related to pregnancy or childbirth), sexual orientation, gender identity, gender expression, marital status, familial status, national origin, ancestry, age, disability, veteran status, military service, application for military service, genetic information, receipt of free medical care, or any other characteristic protected under applicable law. Medidata will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Applications will be accepted on an ongoing basis until the position is filled. #LI-Hybrid #LI-MM1

Medidata follows a hybrid office policy in which employees who are hired for an in-person position are expected to work on site a certain number of days per week in accordance with Company policy. About our Company: Medidata is powering smarter treatments and healthier people through digital solutions to support clinical trials. Celebrating 25 years of ground-breaking technological innovation across more than 36,000 trials and 11 million patients, Medidata offers industry-leading expertise, analytics-powered insights, and one of the largest clinical trial data sets in the industry. More than 1 million users trust Medidata's seamless, end-to-end platform to improve patient experiences, accelerate clinical breakthroughs, and bring therapies to market faster. Discover more at **************** . About the Team: Platform AI organization is building pioneer innovative AI products based on the largest collection of clinical data in the world. Our AI teams are staffed with passionate technology and scientific experts looking to solve the most complex questions facing drug development through the use of machine learning and AI. We are looking for individuals who will solve the most complex questions facing the industry today innovative ML techniques based on both classical and GenAI approaches. The AI features developed will power modern clinical trial study design and study conduct with Rave and Patient Cloud products. You will report to Senior Manager of Data Science, and partner with all of the partner functions including Data Science, Product, and Engineering. Responsibilities: Your are an experienced Data Scientist who will design, implement, and productionize new AI driven features integrated with Medidata products Design, develop and validate machine learning models for novel clinical trial applications. Interact with product team to grasp product needs and provide AI solution (data, modeling strategies, and model serving). Develop prototypes that communicate how models can be used within customer facing products Evaluate and assess novel tools, algorithms, and technologies to be an AI community enabler. Build end-to-end machine learning pipelines from data curation, processing, model building, model evaluation, to model deployment for production. Lead junior developers in implementations of AI tasks and drive technical decisions across teams. Qualifications: Master's or PhD is required in a computational field such as Data Science, Computer Science, Mathematics, Statistics, or related field and a minimum of 5 years of experience Proficiency using Python, SQL, Linux shell scripting, AWS, Docker, and Git Experience with AI service development, familiar with different model serving strategies and service basics (performance, latency, scalability, etc) Technical leadership in both hard and soft skills, proactive, clear, and efficient in communication Experience with deep learning is preferred Previous experience with deploying GPU based models to AWS is a plus Nice to have(s) but not required... Experience with LLM or transformer based algorithms and methods Familiarity with NLP in healthcare data datasets in production Familiarity with machine learning infrastructure and frameworks, CI/CD, and MLOps The salary range posted below refers only to positions that will be physically based in New York City. As with all roles, Medidata sets ranges based on a number of factors including function, level, candidate expertise and experience, and geographic location. Pay ranges for candidates in locations other than New York City, may differ based on the local market data in that region. The base salary pay range for this position is $114,750-$153,000. Base pay is one part of the Total Rewards that Medidata provides to compensate and recognize employees for their work. Most sales positions are eligible for a commission on the terms of applicable plan documents, and many of Medidata's non-sales positions are eligible for annual bonuses. Medidata believes that benefits should connect you to the support you need when it matters most and provides best-in-class benefits, including medical, dental, life and disability insurance; 401(k) matching; flexible paid time off; and 10 paid holidays per year. Equal Employment Opportunity: In order to provide equal employment and advancement opportunities to all individuals, employment decisions at Medidata are based on merit, qualifications and abilities. Medidata is committed to a policy of non-discrimination and equal opportunity for all employees and qualified applicants without regard to race, color, religion, gender, sex (including pregnancy, childbirth or medical or common conditions related to pregnancy or childbirth), sexual orientation, gender identity, gender expression, marital status, familial status, national origin, ancestry, age, disability, veteran status, military service, application for military service, genetic information, receipt of free medical care, or any other characteristic protected under applicable law. Medidata will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Applications will be accepted on an ongoing basis until the position is filled. #LI-Hybrid #LI-MM1 Inclusion statement In order to provide equal employment and advancement opportunities to all individuals, employment decisions at 3DS are based on merit, qualifications and abilities. 3DS is committed to a policy of non-discrimination and equal opportunity for all employees and qualified applicants without regard to race, color, religion, gender, sex (including pregnancy, childbirth or medical or common conditions related to pregnancy or childbirth), sexual orientation, gender identity, gender expression, marital status, familial status, national origin, ancestry, age (40 and above), disability, veteran status, military service, application for military service, genetic information, receipt of free medical care, or any other characteristic protected under applicable law. 3DS will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state laws and local ordinances. We are committed to fair employment practices and will evaluate all candidates based on their qualifications, regardless of past arrest or conviction history. Salary Pay Transparency Compensation for the role will be commensurate with experience. The total expected compensation range will be between $114750 and $153000, representing the base salary (or annualized salary based on estimated hourly compensation) and target bonus.

About the job Lead Data Scientist (AI/ML/NLP) Our client is in search of a talented Lead Data Scientist to play a pivotal role in reshaping their approach to data-driven decision-making and innovation. In this role, you will collaborate with cross-functional teams to develop cutting-edge data science solutions using machine learning and artificial intelligence. Your contributions will drive enterprise-wide innovation, enhance risk management, and improve overall financial performance. Qualifications: Bachelor's degree with 10+ years of experience in Computer Science, Engineering, Applied mathematics, or related field. PhD with 6+ years of experience or Master's degree with 8+ years of experience, preferred. 7+ years of hands-on ML modeling/development experience. Extensive experience in deep learning models including Large Language Models (LLM) and Natural Language Processing (NLP). Hands-on experience with GPU, distributed computing, and applying parallelism to ML solutions. Strong programming skills in Python including PyTorch and/or Tensorflow. Solid background in algorithms and a range of ML models. Experience leading teams of four or more Data Scientists. Excellent communication skills and the ability to collaborate cross-functionally with Product, Engineering, and other disciplines at both leadership and hands-on levels. Excellent analytical and problem-solving abilities with superb attention to detail. Proven leadership in providing technical guidance and mentoring to data scientists, with strong management skills to ensure enterprise success. Locations: Northeastern USA - Hybrid/Remote (2-3 days per/week)

About Agentio Agentio enables marketers to buy creator led ads as easily and scalably as Meta or Google ads-automating sourcing, pricing, contracting, delivery, and measurement with AI-so work that took months now happens in minutes. We're on a mission to transform a $800B digital ad ecosystem by shifting digital ad spend into the hands of creators. That means better outcomes for marketers and enabling creators to live off their work-finally being paid in proportion to the value they create. That shift is accelerating: Unilever's CEO has said the company will move roughly half of its ad budget into social and creators-Unilever is among the world's largest advertisers, spending around $9-10B annually. As these dollars move, they need performance-grade pipes; Agentio is how those dollars flow to creators with the speed, control, and measurement marketers expect. We enable brands like Uber, DoorDash, and Bombas to run creator campaigns with the same rigor, control, and accountability as their core performance channels. Agentio has raised $56M to date at a $340M valuation, including a recent Series B led by Forerunner, which followed our Series A within a calendar year. Our investors also include Benchmark, Craft, and AlleyCorp. Agentio has been named to Forbes' Next Billion Dollar Startups, 2025, and our platform is already used and loved by the world's leading marketers and creators. We are just getting started! Data is Our Growth Engine Our platform routes budgets to the right creators, at the right price, with clear attribution. We ingest rich first-party signals across creative briefs, audiences, content, and outcomes; link them to conversions; and train LLM-driven ranking and pricing models that guide every step-from discovery and acceptance likelihood to pacing and scale. Each campaign feeds back new data, creating a compounding learning loop that makes matching, forecasting, and measurement more efficient with every use. We're expanding our data practice and hiring foundational teammates. Whether you analyze behavior, model outcomes, run experiments, or build robust data and ML tooling, you'll have an immediate impact-shaping product decisions, improving measurement, and delivering the pipelines and services that power the platform. At Agentio, data drives decisions-what we build, how we price, and where we scale-so creators and brands win together. If you're curious, collaborative, and excited to own outcomes in a fast-moving environment, let's talk. You Nimble, hungry, humble, and adaptive to change Excited to learn and grow in a fast-paced environment Proven track record of applying analytical/statistical methods to tackle real-world problems using big data. A true problem-solver and self-starter, with incredible ambition and drive Competitive and highly motivated to exceed expectations Ready to roll up your sleeves, get things done, and work harder than you've likely ever worked before - with far greater reward A positive, honest, empathetic, and curious teammate You understand that Agentio is building in-person, and is in-office 5 days/week What You'll Get The opportunity to build a first-of-its kind business as an early team-member and make a meaningful impact in the way brands share their stories and creators live off their work. Crash-course in what it takes to scale a start-up with first-hand exposure to the different foundational business drivers and needs. The chance to work with an exceptional team and help build our engineering culture A collaborative, transparent, and engaging work environment. Benefits & Perks Flexible PTO - Take the time you need to recharge Comprehensive Health Coverage - Top medical plan through Aetna Dental & Vision Plans - Protect your smile and your sight with coverage from Guardian 401(k) Retirement Plan - Invest in your future while you build your career $100 Monthly Lifestyle Credit - Use it to shop with our amazing Agentio Brand Partners Free Lunch 3x a week! - We order lunch as a team on Mondays, Wednesdays, and Fridays Gym in the building! - Your workout, right downstairs The estimated base compensation for this role is between $225,000 & $350,000. Individual compensation is determined by skills, qualifications, and experience. In addition, this role is eligible for equity and competitive benefits.

AirOps helps brands get found and stay found in the AI era. As the first end-to-end content engineering platform, we give marketing teams the systems to win visibility across traditional and AI search with one durable advantage: quality. Thousands of marketers use AirOps to see how their brand shows up across the new discovery landscape, prioritize the highest-impact opportunities, and create accurate, on-brand content that earns citations from AI platforms and trust from humans. We are building the platform and profession that will equip a million marketers to lead the next chapter of marketing, where creativity and intelligent systems work together and quality becomes the strategy that lasts. AirOps is backed by Greylock, Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, Alt Capital, and more than a dozen top marketing leaders, with hubs in San Francisco, New York, and Montevideo. About the Role As Lead Data Scientist at AirOps, you'll shape how brands win in AI-driven search environments through advanced machine learning and data science. This role combines technical depth with strategic thinking: you'll build production-grade ML systems that directly impact how companies create and optimize content for AI agents and improve their search visibility. You'll work at the intersection of NLP, search algorithms, and large language models to create solutions that help content teams drive measurable business results. This is a hands-on leadership position where you'll both architect systems and write code. You'll partner with product, engineering, and customer success teams to identify opportunities where ML can transform our platform's capabilities. Your work will directly influence how thousands of brands adapt to the rapidly changing search landscape where AI shapes discovery and engagement. Key Responsibilities Technical Leadership: Design and deploy end-to-end machine learning systems including NLP models, search and recommendation algorithms, and LLM-based applications. Search and Content Intelligence: Build ML systems that analyze AI search behavior, identify content opportunities, and predict performance across different AI-driven platforms. Create algorithms that help brands understand and optimize for how AI agents discover and rank content. Cross-functional Partnership: Collaborate with product managers to translate business requirements into technical solutions. Qualifications 5+ years building production machine learning systems with demonstrated business impact; strong background in NLP and search/recommendation systems required Deep expertise across ML approaches: classical models (XGBoost, random forests), modern deep learning architectures (transformers, graph neural networks), and reinforcement learning systems Proven ability to take models from research to production, including optimization for latency and cost at scale Experience with ML infrastructure and tooling: model serving frameworks, experiment tracking, feature stores, and monitoring systems Track record of technical leadership: influencing architecture decisions, improving team practices, and driving cross-functional projects without direct authority Excellent communication skills with ability to explain complex technical concepts to non-technical stakeholders and align ML initiatives with business outcomes Our Guiding Principles Extreme Ownership Quality Curiosity and Play Make Our Customers Heroes Respectful Candor Benefits Equity in a fast-growing startup Competitive benefits package tailored to your location Flexible time off policy Parental Leave A fun-loving and (just a bit) nerdy team that loves to move fast!

Applied Physics is seeking a Data Scientist experienced with a diverse array of data types to join our dynamic and multidisciplinary team of independent and entrepreneurial computer scientists and engineers. In this role, you will collaborate with scientists and researchers in various areas, including data analysis, compression, text processing, graph analysis, machine learning, information visualization, as well as others. Responsibilities: Collaborate with scientists and researchers in various areas to develop state-of-the-art algorithms, software, and computer systems solutions to challenging problems. Assess the requirements for data science research from Applied Physics and the Advanced Propulsion Laboratory. Engage with other developers frequently to share relevant knowledge, opinions, and recommendations, working to fulfill deliverables as a team. Design technical solutions independently, participating as a member of a multidisciplinary team to analyze client requirements and designs, and implementing software and performing analyses to address these needs. Develop and integrate components for creating an operational information and knowledge discovery system. Requirements Bachelor's degree in computer science, computer engineering, or related field, or the equivalent combination of education and related experience. Comprehensive knowledge of one or more of the following: high-performance computing, scientific data analysis, statistical analysis, computer security, systems programming, and/or large-scale data management. Skilled in all phases of software development, including but not limited to feasibility requirements, design, implementation, integration, testing, and deployment. Experience developing software with C++, C, Java, Python, R, or Matlab, software applications in Linux, UNIX, Windows environments, data analysis algorithms, data management approaches, relational databases, or machine learning algorithms. Ability to successfully handle multiple time-sensitive projects across several disciplines. Proficient verbal and written communication skills necessary to effectively collaborate in a team environment and present and explain technical information. Benefits We offer a competitive salary and benefits package, flexible work hours, and opportunities for growth and career development. Join our dynamic and passionate team and help us make a positive impact on the world. If you are a talented, motivated, and empathetic individual who shares our passion for making a difference, we encourage you to apply for this exciting opportunity to work with our team at Applied Physics. Applied Physics is an equal opportunity employer.

Job Title: Senior Analyst, Data Science & Analytics Salary: $90,000 - $118,000 Contact: ******************************** is not available for C2C or C2H and the client is unable to sponsor at this time. About Us We are collaborating with a respected organization in the textiles and apparel manufacturing and retail sectors. Renowned for its commitment to innovation and quality, this organization delivers exceptional products while fostering a collaborative workplace that supports professional development and teamwork. Job Description The Analyst, Data Analytics & Data Science position plays a key role in designing and implementing reporting tools such as metrics dashboards to support data-driven decision-making and strengthen operational controls across new and existing processes. This role also focuses on collecting and analyzing data to develop business cases and ROI assessments that identify and drive improvement opportunities throughout the organization. Key Responsibilities Manage operational requests by defining technical requirements and developing SQL queries to deliver reports, metrics, and dashboards using Power BI Design advanced Power BI reports and dashboards utilizing DAX and other advanced features Support data cleansing, analytics workflows, and presentation of multiple analytics initiatives Act as a liaison between business stakeholders and IT teams, as directed by management Ensure clear understanding of business objectives and deliverables Contribute to prioritization, estimation, and scoping of strategic initiatives Document and analyze business and technical requirements thoroughly Participate in collaborative problem-solving with business users and leadership Support change management efforts and lead end-user training sessions Partner with IT to resolve system issues and improve processes Provide regular updates on project progress and issue resolution Requirements Bachelor's degree in Engineering, Mathematics, Computer Science, or a related field 1-2 years of experience developing business or technology solutions Exposure to R and Python, with a foundational understanding of machine learning concepts Familiarity with data warehouse and business intelligence tools, particularly Power BI Proficiency in DAX, Power Query, and Power BI features Ability to read and write SQL queries proficiently Strong working knowledge of Microsoft Office tools (Excel, PowerPoint, Word, Visio, SharePoint) UI/UX Exposure Exposure to Databricks Experience in the corporate retail sector is a plus Desired Skills & Characteristics Strong analytical and modeling skills with the ability to visualize complex concepts Interest in analyzing complex business relationships Excellent critical thinking, project management, and communication skills Comfortable working across both detailed operational tasks and strategic initiatives High intellectual curiosity with a results-driven mindset Self-motivated and capable of managing multiple projects simultaneously Strong time management and organizational skills Exceptional verbal and written communication abilities Ability to combine quantitative expertise with strong interpersonal skills Thrives in a fast-paced, dynamic environment Other As the organization continues to evolve, data engineering and MLOps capabilities will become increasingly important. Experience with Databricks and Python-based tools is essential, along with the ability to adapt to the rapidly changing analytics landscape.

Arcesium seeks a highly motivated Data Strategy Lead to join our Product Team. This individual will be at the forefront of defining and executing the integration partner strategy for Arcesium's products and clients - growing our integration partner ecosystem and working closely with product managers, segment heads, and others senior stakeholders across the organization as we enter new market segments and build new capabilities. Responsibilities Explore, assess, establish framework for integration of new partners on behalf of clients or product leadership, based on product roadmap, segment and commercial priorities Originate and cultivate relationships, including alliances, partnerships, and distribution with third-party data and software providers on behalf of Arcesium and its clients Collaborate with Marketing to develop and author thought leadership content that furthers Arcesium's reputation as a forward-thinking and trusted source of information, in particular on topics of data and software Conduct comparative analysis and provide thought leadership on the overall direction of the data landscape, including data in the asset management industry, covering the established providers as well as emerging sources and uses of data and software Ensure continuity and consistency of the Arcesium integration partner story working in conjunction with segment heads, sales, marketing, and product Qualifications The ideal candidate will have at least 3-5 years of relevant experience navigating the financial services third party data, software, and counterparty landscape This individual must possess exceptional verbal and written communication skills, and be able to manage multiple concurrent initiatives This person must be proactive and self-motivated, with a passion about working in a collaborative, entrepreneurial environment The expected annual base salary for this position is $200,000 - $240,000. Our compensation package includes variable compensation in the form of a year-end bonus, guaranteed in the first year of hire, benefits including medical and prescription drug coverage, and 401k contribution matching. The applicable annual base salary paid to a successful applicant will be determined based on multiple factors including without limitation the nature and extent of prior experience and educational background. #LI-JS1 #LI-Hybrid Remote eligible states include: NY, NJ, MA, MN, IL, FL, TX, OH, PA, CT, NC, CA, GA Arcesium's Personal Data Privacy Notice for Candidates is linked here.

Discover What's Possible at BetMGM Ready to make your career legendary? Join us as we bring the magic of Vegas to our players. The BetMGM team has over 1,400 talented members, revolutionizing sports betting and online gaming in the United States and Canada. We're a brand with technology at our hearts and the most driven and focused talent in the business. As a valued team member, we're committed to giving you the resources and support you need to thrive. Our benefits and perks include: Medical, Dental, Vision, Life, and Disability Insurance 401(k) with company match Pre-tax spending accounts including health care FSA and commuter savings Flexible paid time off Professional development reimbursement and ongoing skills training opportunities Employee resource groups Swag, ticket giveaways, and more! At BetMGM, we recognize that every individual plays a meaningful role in our success. That's why we're committed to building a respectful, inclusive workplace. It's the strategy behind every win. By meeting people where they are, we create a culture of belonging where everyone can thrive and a workplace that reflects our values, our people, and our drive to win. About the Role We are seeking a Senior Data Scientist to take a leading role in building and deploying machine learning solutions that power personalization and create measurable business impact. This is a highly visible, cross-functional position where you will work closely with product managers, ML engineers, and commercial stakeholders to transform raw data into actionable insights and scalable models. You'll leverage cutting-edge tools and techniques to segment users, predict behaviors, and optimize experiences across the customer journey. As a Senior Data Scientist, you will design and deliver advanced analytics projects from exploration and modeling through deployment and measurement of impact. You'll make technical decisions, lead collaborative problem-solving sessions, and mentor other data scientists as you raise the overall level of technical rigor within the team. This role is perfect for someone who thrives in a fast-moving environment, enjoys turning complexity into clarity, and is motivated by seeing their models drive real-world outcomes. Develop and deploy machine learning models to drive personalized recommendations and user experiences across business units Perform analysis on large and complex data sets utilizing relevant tools (SQL, Python, Spark) and provide strategic contributions Use statistical and machine learning techniques to segment users and predict future behaviors, developing automated logic and decision algorithms to deliver a better experience to the customer Lead projects from start to finish, set proper expectations, and collaborate with other data scientists, ML engineers, and product managers to communicate technical findings and support data driven decision making Oversee the integration and deployment of cross-functional and cross-organizational projects, developing process improvements and technical leadership Stay up to date on the latest advancements in data science and leverage cutting edge technology Mentor, brainstorm with, and enable others within the DS team and broader Data organization Education and Experience: Bachelor's degree needed in a highly numerate major (Computer Science, Economics, Mathematics, etc.) or a related field 5+ years of experience in data science, creating and deploying models Strong expertise in ML modeling, predictive analytics, segmentation, and recommender systems. Hands on experience working in customer personalization and a strong understanding of the technical elements required in building and maintaining advanced models Experience in experimentation to validate models' impact and ability to quantify that impact Technical Expertise: Experience with Python, SQL, Spark, Snowflake, and ML infrastructure tools like MLflow and SageMaker. Experience with statistical modeling, A/B testing, and customer segmentation techniques. Experience implementing and overseeing ML platforms and building unified data products across multiple domains. Familiarity with online gaming platforms, trading systems, and marketing technologies. Can write production level code, understand principles of programming Leadership & Soft Skills: Strategic thinker with a proven ability to balance short-term results with long-term goals. Excellent communicator with the ability to translate complex technical concepts into clear, actionable strategies for stakeholders at all levels. Collaborative team player who excels in cross-functional environments. The annual salary range for this position is $118000 to $155000. Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate. This position is also eligible for participation in a performance-based bonus plan. Applicants must possess legal authorization to work for our company in the U.S. without the need for immigration sponsorship. At this time, this role is not eligible for immigration-related employment authorization sponsorship including H-1B, O-1, E-3, TN, OPT, etc. Gaming Compliance & Licensing Requirements As an online gaming company, BetMGM is required to comply with state gaming regulations which includes licensing obligations. Applicable employees must be licensed by at least one jurisdictional agency, although certain positions require licensing by multiple agencies. Failure to become licensed or maintain licensure with each agency as required for the role may result in termination of employment. Please note that the licensing process includes comprehensive background checks which may include a review of criminal records, financial history, and personal background verification. In addition, candidates must comply with and support BetMGM's responsible gambling policies, procedures, and initiatives. About BetMGM BetMGM is revolutionizing sports betting and online gaming in the United States and Canada. We are a partnership between two powerhouse organizations-MGM Resorts International and Entain Group. You know our name through our exciting portfolio of brands including BetMGM Casino, BetMGM Sportsbook, Borgata Online, Party Casino and Party Poker. We aim to bring our ideas into action and find ways to deliver the best quality in gaming platforms. BetMGM LLC is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified individuals, regardless of race, religion, gender, gender identity, age, marital status, national origin, sexual orientation, citizenship status, veteran status, disability, or any other legally protected status. As an organization, we are unwavering in our commitment to maintaining a discrimination-free work environment, and fostering a culture of inclusivity, belonging and equal opportunity for all employees and applicants. If you need assistance or accommodation with your application due to a disability, you may contact us at . This job description is not an exclusive or exhaustive list of duties a person in this position may be asked to perform from time to time. #LI-HYBRID #LI-JLEE

Principal Data Engineer - New York (Hybrid, 3 days on-site) Package: Competitive - Looking for experienced ICs, package will be based on interview performance. We are partnering with a fast-growing global Data and AI Consultancy to hire Principal Data Engineers. This is an exciting opportunity for someone who loves complex problem-solving, cutting-edge technology and working across multiple clients and industries (predominantly regulated spaces: finance, insurance and health care + more). The ideal candidate is passionate about data engineering and has a background in building robust pipelines, and helping businesses leverage their data for meaningful impact. Key Responsibilities Design, build, and maintain data pipelines to ingest, transform, and load data reliably. Implement and manage data lakes and warehouses for scalable and secure access. Ensure systems are reliable, secure, and cost-effective. Collaborate closely with analysts, ML engineers, and platform teams to deliver impactful solutions. Work with modern data tools and cloud platforms to optimise performance and scalability. Technical Skills & Experience Strong experience in Python, Spark, and Airflow. Hands-on knowledge of Snowflake, Databricks, BigQuery, or Neo4J. Familiarity with dbt, Fivetran, Terraform and other data engineering frameworks. Cloud experience with AWS, Azure, or GCP. Proven track record building scalable, reliable, and secure data solutions. Comfortable problem-solving across large, complex datasets and systems. STEM degree from a top university We're open to candidates with and without consulting backgrounds but you must be excited about working with leading global brands and directly with customers. If you're interested in hearing more about this opportunity, please include you most up to date CV.

Our client is a $28B NY based multi-strategy Hedge Fund currently seeking to add a talented Associate to their Data & Performance Analytics Team. This individual will be working closely with senior managers across finance, investment management, operations, technology, investor services, compliance/legal, and marketing. Responsibilities This role will be responsible for Compiling periodical fund performance analyses Review and analyze portfolio performance data, benchmark performance and risk statistics Review and make necessary adjustments to client quarterly reports to ensure reports are sent out in a timely manner Work with all levels of team members across the organization to help coordinate data feeds for various internal and external databases, in effort to ensure the integrity and consistency of portfolio data reported across client reporting systems Apply queries, pivot tables, filters and other tools to analyze data. Maintain client relationship management database and providing reports to Directors on a regular basis Coordinate submissions of RFPs by working with RFP/Marketing Team and other groups internally to gather information for accurate data and performance analysis Identifying opportunities to enhance the strategic reporting platform by gathering and analyzing field feedback and collaborating with partners across the organization Provide various ad hoc data research and analysis as needed. Desired Skills and Experience Bachelor's Degree with at least 2+ years of Financial Services/Private Equity data/client reporting experience Proficiency in Microsoft Office, particularly Excel Modeling Technical knowledge, data analytics using CRMs (Salesforce), Excel, PowerPoint Outstanding communication skills, proven ability to effectively work with all levels of Managment Comfortable working in a fast-paced, dead-line driven dynamic environment Innovative and creative thinker Must be detail oriented

City: NYC/ Santa Monica, CAOnsite/ Hybrid/ Remote: Hybrid, 4 days onsite Duration: 6 months with strong potential for extension/conversion (up to 24 months) Rate Range: Up to$67.75/hr on W2 depending on experience (no C2C or 1099 or sub-contract) Work Authorization: GC, USC, All valid EADs except OPT, CPT, H1B Must Have: Advanced SQL for analytical ETL/pipeline development (Snowflake or similar MPP). Scripting for automation (Python or JavaScript) including Google Apps Script. Experience automating recurring reporting (email sends, deck builds) end-to-end. Data quality engineering in pipelines (inline checks, alerting, exception handling). Dashboarding/BI (Looker and/or Tableau) with strong data modeling fundamentals. Version control and code review workflows (Git/GitHub). Excel workflow automation (macros, formula-driven processes refactored to code). Responsibilities: Build end-to-end reporting automation for business-critical initiatives (templated email sends, automated deck builds, scheduled jobs). Translate intake requests into clear data requirements and SLAs; design resilient pipelines that minimize manual touchpoints. Develop performant SQL and transformation logic against vetted analytical datasets; productionize jobs with parameterization and logging. Embed inline data-quality tests and safeguards (freshness, completeness, threshold checks) to ensure executive-grade accuracy. Create maintainable dashboards/visuals for operational through executive audiences; push beyond third-party tool limits when needed. Partner cross-functionally with upstream data/software engineering and domain analysts to align schemas, definitions, and cadence. Document solutions (runbooks, configs, data contracts) and contribute to reusable internal tooling/components for reporting enablement. Proactively identify opportunities to de-risk manual workflows and drive standardization across domains (e.g., Partnerships, Subscriber Planning). Qualifications: Bachelor's degree in a STEM/analytical field. 5+ years in analytics or data product/enablement roles with measurable automation impact. 3+ years hands-on SQL in an analytical ETL environment (Snowflake/BigQuery/Redshift). 3+ years scripting (Python or JavaScript); experience with Google Apps Script for workflow automation. Proven track record converting manual Excel processes into robust, scheduled pipelines. BI experience (Looker/Tableau); strong ability to convey technical/analytical concepts to diverse audiences. Familiarity with Git/GitHub and collaborative dev practices. Preferred: Advanced custom visualization frameworks (D3.js, Streamlit) to extend interactivity beyond standard BI tools. Experience prototyping "homegrown" reporting tools/products from scratch. Workflow orchestration familiarity (e.g., Airflow or equivalent). Applied statistics exposure (hypothesis testing, regressions) for KPI validation and QA.

About Beauty by Imagination: Beauty by Imagination is a global haircare company dedicated to boosting self-confidence with imaginative solutions for every hair moment. We are a platform company of diverse, market-leading brands, including Wet Brush, Goody, Bio Ionic, and Ouidad - all of which are driven to be the most trusted choice for happy, healthy hair. Our talented team is passionate about delivering high-performing products for consumers and salon professionals alike. Position Overview: We are looking for a skilled Data Engineer to design, build, and maintain our enterprise Data Warehouse (DWH) and analytics ecosystem - with a growing focus on enabling AI-driven insights, automation, and enterprise-grade AI usage. In this role, you will architect scalable pipelines, improve data quality and reliability, and help lay the foundational data structures that power tools like Microsoft Copilot, Copilot for Power BI, and AI-assisted analytics across the business. You'll collaborate with business stakeholders, analysts, and IT teams to modernize our data environment, integrate complex data sources, and support advanced analytics initiatives. Your work will directly influence decision-making, enterprise reporting, and next-generation AI capabilities built on top of our Data Warehouse. Key Responsibilities Design, develop, and maintain Data Warehouse architecture, including ETL/ELT pipelines, staging layers, and data marts. Build and manage ETL workflows using SQL Server Integration Services (SSIS) and other data integration tools. Integrate and transform data from multiple systems, including ERP platforms such as NetSuite. Develop and optimize SQL scripts, stored procedures, and data transformations for performance and scalability. Support and enhance Power BI dashboards and other BI/reporting systems. Implement data quality checks, automation, and process monitoring. Collaborate with business and analytics teams to translate requirements into scalable data solutions. Contribute to data governance, standardization, and documentation practices. Support emerging AI initiatives by ensuring model-ready data quality, accessibility, and semantic alignment with Copilot and other AI tools. Required Qualifications Proven experience with Data Warehouse design and development (ETL/ELT, star schema, SCD, staging, data marts). Hands-on experience with SSIS (SQL Server Integration Services) for building and managing ETL workflows. Strong SQL skills and experience with Microsoft SQL Server. Proficiency in Power BI or other BI tools (Tableau, Looker, Qlik). Understanding of data modeling, performance optimization, and relational database design. Familiarity with Python, Airflow, or Azure Data Factory for data orchestration and automation. Excellent analytical and communication skills. Preferred Qualifications Experience with cloud data platforms (Azure, AWS, or GCP). Understanding of data security, governance, and compliance (GDPR, SOC2). Experience with API integrations and real-time data ingestion. Background in finance, supply chain, or e-commerce analytics. Experience with NetSuite ERP or other ERP systems (SAP, Oracle, Dynamics, etc.). AI Focused Preferred Skills: Experience implementing AI-driven analytics or automation inside Data Warehouses. Hands-on experience using Microsoft Copilot, Copilot for Power BI, or Copilot Studio to accelerate SQL, DAX, data modeling, documentation, or insights. Familiarity with building RAG (Retrieval-Augmented Generation) or AI-assisted query patterns using SQL Server, Synapse, or Azure SQL. Understanding of how LLMs interact with enterprise data, including grounding, semantic models, and data security considerations (Purview, RBAC). Experience using AI tools to optimize ETL/ELT workflows, generate SQL scripts, or streamline data mapping/design. Exposure to AI-driven data quality monitoring, anomaly detection, or pipeline validation tools. Experience with Microsoft Fabric, semantic models, or ML-integrated analytics environments. Soft Skills Strong analytical and problem-solving mindset. Ability to communicate complex technical concepts to business stakeholders. Detail-oriented, organized, and self-motivated. Collaborative team player with a growth mindset. Impact You will play a key role in shaping the company's modern data infrastructure - building scalable pipelines, enabling advanced analytics, and empowering the organization to safely and effectively adopt AI-powered insights across all business functions. Our Tech Stack SQL Server, SSIS, Azure Synapse Python, Airflow, Azure Data Factory Power BI, NetSuite ERP, REST APIs CI/CD (Azure DevOps, GitHub) What We Offer Location: New York, NY (Hybrid work model) Employment Type: Full-time Compensation: Competitive salary based on experience Benefits: Health insurance, 401(k), paid time off Opportunities for professional growth and participation in enterprise AI modernization initiatives

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. **How will you make an impact in this role?** American Express Global Commercial Services (GCS) offers powerful backing and financial support to business clients of all sizes. The GCS Small Business Marketing team strives to provide our customers with the world's best customer experience every day to ensure that we are essential partners to our clients and win the full share of their business. The Strategic Growth & Insights team within the Small Business Customer Growth Marketing team develops integrated marketing strategies across channels delivering customer value through meaningful interactions at every touch point to drive deepened relationships and long-term engagement amongst our existing customers. We are a performance marketing team that uses data and insights to power our marketing as well as anchor to our investment optimization process to drive results and effectively optimize. The senior analyst will support the enablement of Customer Growth Marketing investment optimization routines and packages (monthly reporting, annual planning, etc.). They will bring together channel-level forecasts and results, partnering with channel marketers, analytics, finance, and investment optimization teams. **Responsibilities** + Develop and maintain reporting packages that clearly communicate the Customer Growth Marketing team's campaign performance, forecast accuracy, and key trends to partners and senior leadership + Collaborate cross functionally with teams across Investment Optimization, Finance, Analytics, and Marketing to ensure alignment, data consistency, and timely delivery of business-critical reporting. + Analyze performance drivers and enhance key metrics to improve understanding of campaign effectiveness, investment efficiency, and forecasting accuracy. + Transform complex data into actionable insights by identifying opportunities, uncovering performance risks, and developing recommendations that influence marketing strategy and decision-making. + Continuously improve reporting processes by standardizing methodologies, automating recurring analyses, and implementing best practices. **Minimum Qualifications** + Proven experience working with large and complex datasets and developing insights that inform business decisions. + Strong proficiency with analytics tools such as Excel and data query languages (BigQuery, Hadoop). + Demonstrated ability to ensure data quality, integrity, and governance across multiple systems and sources. + Strong understanding of business processes and the ability to translate analytical findings into meaningful recommendations. + Excellent collaboration and communication skills, with experience partnering across multiple teams. + Creative problem solver with the ability to work independently, manage competing priorities, and drive solutions forward. + Exceptional project management skills and attention to detail; able to juggle multiple priorities, meet tight deadlines, and operate effectively and compliantly. **Preferred Qualifications** + Proficiency with data visualization and BI tools (e.g., Tableau, Power BI) to translate data into actionable insights. + Experience working with internal programs such as Liberty/TM1, and Smartbuy. + Familiarity with marketing analytics, campaign performance measurement, and forecasting methodologies. + Positive vibes, enthusiasm, and a "can-do" attitude **Qualifications** Salary Range: $78,000.00 to $124,750.00 annually bonus benefits The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors. We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: + Competitive base salaries + Bonus incentives + 6% Company Match on retirement savings plan + Free financial coaching and financial well-being support + Comprehensive medical, dental, vision, life insurance, and disability benefits + Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need + 20 weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy + Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) + Free and confidential counseling support through our Healthy Minds program + Career development and training opportunities For a full list of Team Amex benefits, visit our Colleague Benefits Site . American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions. We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually. US Job Seekers - Click to view the " Know Your Rights " poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: *************************** Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions. **Job:** Data Mgmt and Analytics **Primary Location:** US-New York-New York **Schedule** Full-time **Req ID:** 26000419

Argo Group International Holdings, Inc.and American National, US based specialty P&C companies, (together known as BP&C, Inc.) are wholly owned subsidiaries of Brookfield Wealth Solutions, Ltd. ("BWS"), a New York and Toronto-listed public company. BWS is a leading wealth solutions provider, focused on securing the financial futures of individuals and institutions through a range of wealth protection and retirement services, and tailored capital solutions. Job Description We're seeking a highly analytical Senior Data Analyst with strong P&C insurance experience to elevate our compliance and data capabilities. You'll own the end-to-end process of transforming complex policy, claims and financial data into accurate, timely regulatory filings. This role blends Data Analysis, Data Engineering, and Actuarial insight, ideal for someone who thrives on solving data challenges with real business impact. What You'll Do Interpret regulatory requirements and break them into clear data needs Analyze underwriting, policy, claims, and financial data to ensure completeness, accuracy, and compliance Partner closely with Applications, MGA Operations, Data Analysis, Data Engineering, Compliance, and Underwriting teams to resolve data issues Learn the ins and outs of various data models by collaborating with application experts Design and implement data enrichment solutions Model reference data Build and optimize data pipelines Reconcile data extractions with Annual Statement Support data calls, tax reporting, audits and ad-hoc regulatory requests What We're Looking For Bachelor's degree in Data Science, Statistics, Business Analytics, Computer Science, Actuarial Science or a related field. Master's degree preferred. 5+ years in data analysis within Property & Casualty Insurance industry, with a focus on regulatory compliance reporting. Experience with Insurance Operations and Statutory Accounting, across policy, claims, underwriting, or financial domains. Strong skills in SQL, data engineering, and exploratory data analysis. Actuarial mindset or experience working with Actuarial teams Strong communication skills and the ability to work across technical and business teams Exposure to data calls and regulatory reports like NISS CLSP, NISS AQR, TX ISO CLSP, MCCA Annual Assessment, TRIA and SFAA You thrive in a fast-paced environment and handle shifting priorities like a pro. Nice to Have Experience with Snowflake and Python Associate in Regulation and Compliance Designation Why Join Us Your work will have a direct impact on ensuring we meet industry standards while staying efficient and innovative Opportunity to shape how we handle regulatory compliance reporting for the future Collaborative and supportive environment The base salary range provided below is for hires in those geographic areas only and will be commensurate with candidate experience. Pay ranges for candidates in other locations may differ based on the cost of labor in that location. In addition to base salary, all employees are eligible for an annual bonus based on company and individual performance as well as a generous benefits package. New York City - $136.9k - $163k Chicago - $125.5k - $149.2k Richmond, San Antonio and Omaha - $114.1k - $135.7k PLEASE NOTE: Applicants must be legally authorized to work in the United States. At this time, we are not able to sponsor or assume sponsorship of employment visas. If you have a disability under the Americans with Disabilities Act or similar state or local law and you wish to discuss potential reasonable accommodations related to applying for employment with us, please contact our Benefits Department at . Notice to Recruitment Agencies: Resumes submitted for this or any other position without prior authorization from Human Resources will be considered unsolicited. BWS and / or its affiliates will not be responsible for any fees associated with unsolicited submissions. We are an Equal Opportunity Employer. We do not discriminate on the basis of age, ancestry, color, gender, gender expression, gender identity, genetic information, marital status, national origin or citizenship (including language use restrictions), denial of family and medical care leave, disability (mental and physical) , including HIV and AIDS, medical condition (including cancer and genetic characteristics), race, religious creed (including religious dress and grooming practices), sex (including pregnancy, child birth, breastfeeding, and medical conditions related to pregnancy, child birth or breastfeeding), sexual orientation, military or veteran status, or other status protected by laws or regulations in the locations where we operate. We do not tolerate discrimination or harassment based on any of these characteristics. The collection of your personal information is subject to our HR Privacy Notice Benefits and Compensation We offer a competitive compensation package, performance-based incentives, and a comprehensive benefits program-including health, dental, vision, 401(k) with company match, paid time off, and professional development opportunities.

Career & Technical Education (CTE) teachers bring a passion for education and a wealth of professional experience to the classroom. Candidates with experience in high-demand fields, like information technology, are uniquely positioned to prepare high school students for successful future careers. NYC Public Schools (NYCPS) is actively recruiting career changers with a background in data analysis to teach data analytics in NYCPS CTE classrooms. For more information about teaching CTE in NYC, or to attend an upcoming information session, please visit our website.. To apply now, visit NYC Teacher Application. Compensation and Benefits NYC Public Schools offers competitive starting salaries based on education and years of teaching experience. The starting salary for a teacher with a master's degree and no prior teaching experience is currently $75,017, or $66,733 for a teacher with a bachelor's degree and no previous teaching experience. On September 14, 2025, these salaries will increase to $77,455 and $68,902, respectively. Comprehensive health insurance plan, including medical, dental, optical, and prescription drugs Enrollment in a pension plan Opportunities for additional income through a wide array of incentives and school positions that will inspire and challenge you as an educator AN EQUAL-OPPORTUNITY EMPLOYER It is the policy of the Department of Education of the City of New York to provide educational and employment opportunities without regard to race, color, religion, creed, ethnicity, national origin, alienage, citizenship status, age, marital status, partnership status, disability, sexual orientation, gender (sex), military status, prior record of arrest or conviction (except as permitted by law), predisposing genetic characteristics, or status as a victim of domestic violence, sexual offenses and stalking, and to maintain an environment free of harassment on any of the above-noted grounds, including sexual harassment or retaliation. Inquiries regarding compliance with this equal opportunity policy may be directed to the Office of Equal Opportunity, 65 Court Street, Room 1102, Brooklyn, New York 11201, or visit the OEO website at OEO