Operations Research Analyst remote jobs - 975 jobs

A healthcare services provider is seeking an Actuary for Analytics/Forecasting to join their Financial Planning team. This role involves analyzing financial data, collaborating with stakeholders, and providing strategic insights to support business decisions. Candidates should possess a Bachelor's degree, FSA or ASA certification, and strong communication skills. The position offers remote work flexibility with occasional office travel required. A competitive compensation package and benefits are provided. #J-18808-Ljbffr

Select how often (in days) to receive an alert: Lead Cyber Watch Ops Analyst - 90402954 - null Your success is a train ride away! As we move America's workforce toward the future, Amtrak connects businesses and communities across the country. We employ more than 20,000 diverse, energetic professionals in a variety of career fields throughout the United States. The safety of our passengers, our employees, the public and our operating environment is our priority, and the success of our railroad is due to our employees. Are you ready to join our team? Our values of ‘Do the Right Thing, Excel Together and Put Customers First' are at the heart of what matters most to us, and our Core Capabilities, ‘Building Trust, Accountability, Effective Communication, Customer Focus, and Proactive Safety & Security' are what every employee needs to know and do to be most impactful at Amtrak. By living the Amtrak values, focusing on our capabilities, and actively embracing and fostering diverse ideas, backgrounds, and perspectives, together we will honor our past and make Amtrak a company of the future. SUMMARY The Cyber Watch Operations Analyst is a key position responsible for supporting the day-to-day operations of our Cyber Threat Command Center. In this role, you will have a critical impact with key stakeholder engagement, cybersecurity incident management, incident response, and coordination. Your expertise in cyber incident response, cybersecurity incident handling, and cyber threat analysis will be instrumental in protecting our organization's systems, data, and reputation. ESSENTIAL FUNCTIONS Ability to work under pressure, prioritize tasks, and meet deadlines in a fast-paced environment. Ability to think critically and like threat actors. Strong analytical and problem-solving skills, with the ability to assess complex situations and make informed decisions. Ability to communicate complex information, concepts, or ideas in a confident and well-organized manner through verbal, written, and/or visual means. Ability to apply techniques for detecting host and network-based intrusions using intrusion detection technologies. Ability to interpret the information collected by security tools. Knowledge of attack vectors, threat tactics, and attacker techniques. Preferred ability for effective communication and interpersonal skills, work well with others in an integrated team environment, and must be self‑motivated. Preferred knowledge and familiarity with Operational Technology (OT), Industrial Controls Systems (ICS) or Supervisory Control and Data Acquisition (SCADA) systems but not required. Responsible for delivery of security solutions for activity‑based assignments, executing and resolving problems within specified area. Monitor Cyber security anomalies, investigate, resolve and escalating Cyber Security events, incidents and problems. Search for potential vulnerability, exploit, or “0” day based on user behavior, endpoint threat detection, network behavior analytics, artificial engine alarms and managed security reports. Review Firewall, IDS/IPS logs, web content filtering logs, NetFlow device logs, antivirus logs. Lead Cyber Security tools (SIEM, EDR, CASB etc.) administration. Lead periodical checks for company policy violation / Support the investigation on policy violation. Lead Cyber security audits and inspecting security logs to uncover possible security violations. Generating, gathering, and tracking security metrics, developing scorecards for the metrics, and communicating the results. Supports and participates in formal reporting related to Cyber Security Operations. Monitor security events and develop Cyber security controls across the enterprise. Lead Security support efforts for application and infrastructure related projects. Lead application security risk assessments for new or updated internal or third‑party applications. Conduct quality test activities and validate test completeness in preparation for go‑live. Responding and resolving problems, security incidents and forensic investigations. Investigates, resolves and escalates problems. Monitors and analyzes metrics to ensure customer satisfaction and vendor performance. Lead vulnerability and risk analysis using commercial tools or custom scripts and documenting found gaps. MINIMUM QUALIFICATIONS Bachelor's degree in computer science, Information Systems, or related field plus 6+ years relevant experience required or 9+ years of relevant work experience required to satisfy education and experience requirements. Professional security‑related certifications (e.g., Security+, Certified Ethical Hacker (CEH), Certified Information Systems Security Professional (CISSP), etc.). Must possess excellent customer service, strong communication and interpersonal skills, work well with others in an integrated team environment, and must be self‑motivated. Strong analytical skills. Experience with SIEM, EDR, CASB, IDS/IPS, AV, DLP UEBA, FW, etc. technologies. Experience performing vulnerability management assessments. Experience working in a Cyber Security Operations (or SOC) as an analyst. PREFERRED QUALIFICATIONS Master's degree in information technology, Cyber Security, or equivalent. Experience with scripting languages. 8+ years' experience in cyber security specialization (compliance, information security program management, continuous monitoring, vulnerability assessment). WORK ENVIRONMENT Work is performed in a Remote Work Environment. May require travel up to 10% of the time. Requires on‑call status. After hours, weekend and periodic shift work may be required. COMMUNICATIONS AND INTERPERSONAL SKILLS Must have excellent oral and written communication skills. The salary/hourly range is $103,700-$134,460. Pay is based on several factors including but not limited to education, work experience, certifications, internal equity, etc. Depending on an employee's assigned worksite or location, Amtrak may consider a geo‑pay differential to be applied to the employee's base salary. Amtrak may offer additional incentive and pay programs to recognize and reward our employees, including a short‑term incentive bonus based on factors such as individual and company performance that is commensurate with the level of the position and/or long‑term incentive plan compensation. In addition to your salary, Amtrak offers a comprehensive benefit package that includes health, dental, and vision plans; health savings accounts; wellness programs; flexible spending accounts; 401(k) retirement plan with employer match; life insurance; short and long‑term disability insurance; paid time off; backup care; adoption assistance; surrogacy assistance; reimbursement of education expenses; Public Service Loan Forgiveness eligibility; Railroad Retirement sickness and retirement benefits; and rail pass privileges. Learn more about our benefits offerings here. Requisition ID: 165673 Work Arrangement: 02-Remote Optional Click here for more information about work arrangements at Amtrak. Relocation Offered: No Travel Requirements: Up to 25% You power our progress through your performance. We want your work at Amtrak to be more than a job. We want your career at Amtrak to be a fulfilling experience where you find challenging work, rewarding opportunities, respect among colleagues, and attractive compensation. Amtrak maintains a culture that values high performance and recognizes individual employee contributions. Amtrak is committed to a safe workplace free of drugs and alcohol. All Amtrak positions require a pre‑employment background check that includes prior employment verification, a criminal history check and a pre‑employment drug screen. Candidates who test positive for marijuana will be disqualified, regardless of any state or local statute, ordinance, regulation, or other law that legalizes or decriminalizes the use or possession of marijuana, whether for medical, recreational, or other use. Amtrak's pre‑employment drug testing program is administered in accordance with DOT regulations and applicable law. In accordance with DOT regulations (49 CFR § 40.25), Amtrak is required to obtain prior drug and alcohol testing records for applicants/employees intending to perform safety‑sensitive duties for covered Department of Transportation positions. If an applicant/employee refuses to provide written consent for Amtrak to obtain these records, the individual will not be permitted to perform safety‑sensitive functions. In accordance with federal law governing security checks of covered individuals for providers of public transportation (Title 6 U.S.C. §1143), Amtrak is required to screen applicants for any permanent or interim disqualifying criminal offenses. Note that any education requirement listed above may be deemed satisfied if you have an equivalent combination of education, training and experience. Amtrak is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race/color, to include traits historically associated with race, including but not limited to, hair texture and hairstyles such as braids, locks and twists, religion, sex (including pregnancy, childbirth and related conditions, such as lactation), national origin/ethnicity, disability (intellectual, mental and physical), veteran status, marital status, ancestry, sexual orientation, gender identity and gender expression, genetic information, citizenship or any other personal characteristics protected by law. #J-18808-Ljbffr

A global hospitality company is seeking a Senior Data Scientist to enhance experiences for users worldwide. You will collaborate with cross-functional teams, conduct in-depth research, and apply your expertise in causal inference. Ideal candidates have over 5 years of relevant experience or a PhD in a related field. This position allows for remote work with occasional office attendance, promoting an inclusive environment for diverse talents. #J-18808-Ljbffr

As a Managed Services Analyst you will serve as a key connector between technical and business teams to ensure our cloud and managed services offerings are clearly defined, well-documented, and positioned for business success. By transforming complex technical input from engineering and operations into actionable documentation, you will ensure our internal teams have the resources they need to promote and deliver DataBank's solutions confidently and efficiently. You will maintain the accuracy of our product catalog, support pricing initiatives, and identify opportunities to optimize business processes that drive profitable growth. You will serve as a key connector between technical and business teams to ensure our cloud and managed services offerings are clearly defined, well-documented, and positioned for business success. By transforming complex technical input from engineering and operations into actionable documentation, you will ensure our internal teams have the resources they need to promote and deliver DataBank's solutions confidently and efficiently. You will maintain the accuracy of our product catalog, support pricing initiatives, and identify opportunities to optimize business processes that drive profitable growth. Responsibilities Product Documentation: Gather and synthesize detailed technical information from Engineering, Cloud, and Network Operations to write and maintain comprehensive documentation, including product datasheets, solution guides, FAQs, process guides, and internal knowledge bases. Sales Enablement Materials: Develop and refresh content to train and enable the sales team, partnering with relevant stakeholders for presentations, collateral, and internal product education. Product Catalog Management: Maintain the cloud and managed services product catalog with up-to-date features, specifications, and positioning to support sales and business initiatives. Pricing Support: Collaborate with Finance and Product Management to develop, review, and update product pricing, ensuring competitive, transparent, and accurate offerings. Process Improvement: Assess and refine documentation, operational, and go-to-market processes for efficiency and consistency across the organization. Competitive Intelligence: Monitor and analyze competitive products and pricing, providing actionable insights for product positioning and strategy. Cross-functional Collaboration: Serve as a connector between technical, product, finance, and sales teams to ensure knowledge sharing and coordinated execution. Support Strategic Initiatives: Contribute to new product launches and key projects through strong documentation and operational support. Qualifications Bachelor's degree in Business, Information Technology, Computer Science, or related field, or equivalent experience working with cloud/managed IT services. 3-5 years in a business operations, product management, technical marketing, or related function within cloud, IaaS, or data center environments. Deep understanding of cloud computing (IaaS, virtualization, storage, networking, managed services). Proven expertise in authoring technical documentation for audiences at all levels. Experience developing training content and sales enablement materials. Comfortable working with Finance and Product to support pricing activities. Strong analytical and critical thinking skills with attention to detail and accuracy in data analysis and financial modeling. Experience with CRM systems (Salesforce preferred), ERP systems, CPQ (Configure, Price, Quote) platforms, and deal desk operations including quote review and approval processes. Skilled at process improvement and operational best practices. Excellent collaboration and project management skills; experience working cross-functionally with technical and business stakeholders. Strong written and verbal communication abilities. Advanced proficiency with Microsoft Office Suite, Google Workspace, and documentation/collaboration tools (e.g., Confluence, SharePoint). Customer-oriented mindset and high attention to detail. Legal authorization to work in the U.S. is required. Benefits · Health, Vision, and Dental Insurance Packages · Short-Term and Long-Term Disability Insurance · Life Insurance · 401k with company match · 3 weeks' Paid Time Off and Paid Holiday

Analytica is seeking a Data Scientist to support long‑term federal client engagements projects in the DC Metro area. The role will apply statistical programming, modeling, visualization techniques, data mining, and forecasting skills to analyze challenging public sector problems. This position is fully remote. Analytica has been recognized by Inc. for 3 consecutive years as one of the 250 fastest‑growing businesses. We offer competitive compensation with opportunities for bonuses, employer‑paid health care, training and development funds, and 401(k) match. Responsibilities Pre‑processing - Demonstrate the skills and experience to collect, clean, and prepare data sets for input into a computational model using Python. Strong candidates will explain various methods you have applied using common pre‑processing functions such as stop word removal, stemming, lemmatization, and tokenization. Feature Engineering and Attribute Evaluation - Candidate must demonstrate experience with NLP feature engineering methods such as TF‑IDF, word2vec, GloVe, and FastText identifying the key determinants for modeling that exist in the business process and within existing data sets as well as selecting evaluation protocols (model techniques). Modeling - Candidates will have practiced skills and experience selecting classification modeling techniques to fit the business problem. Examples will include techniques such as machine learning supervised and unsupervised learning, regression, neural networks and deep learning, natural language processing, etc. Validation - Strong candidates will describe their experience with investigating, reporting, and justifying model results. Visualization - Experience in presenting the results of their modeling activities, depicting the insights realized, and explaining the relevance of their results to the organization's business challenges. Qualifications Master's degree required, and PhD preferred in Statistics, Mathematics, Computer Science, or similar. High degree of experience utilizing SAS, R, or Python to support NLP use cases such as Document Summarization, Named Entity Recognition, Sentiment Analysis, and/or Topic Modeling. At least four years of experience developing scalable, production‑ready NLP solutions using scikit‑learn, Keras, TensorFlow, PyTorch, Spark NLP. Experience using git/github to version control source code. Experience leveraging transformer architecture to develop NLP models. Experience with open source NLP packages such as Gensim, SpaCy, or NLTK. Experience with BERT, GPT-J, RoBERTa, T5 or other transformers. Experience with GenAI and Prompt Engineering is a plus. Experience in Databricks and MLFlow is a plus. Experience with machine translation and transcription of foreign language documents using Microsoft Azure translation services is a plus. Experience working in an AWS cloud environment and with related AWS services such as Bedrock and Textract. Experience coordinating and maintaining user stories. Must be a US citizen. Must be able to obtain and maintain a Public trust security clearance. About Analytica Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. The company is an award‑winning SBA certified 8(a) small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest‑growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI Maturity Level 3 and is an ISO 9001:2008 certified provider. Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable laws. When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity. #J-18808-Ljbffr

A leading healthcare technology company is seeking a Data Scientist in San Francisco to optimize AI products and create analytics for medical professionals. Candidates should have over 5 years of experience and advanced knowledge in statistical concepts and machine learning. This role offers a competitive salary between $170,000 and $248,000, plus comprehensive benefits including health offerings and wellness programs. Join us to make an impact in the healthcare industry. #J-18808-Ljbffr

A leading data science firm is seeking a Data Scientist to enable deep media insights through advanced analytics. This remote position focuses on Market Mix Modeling, requiring a Ph.D. and 3+ years in data science. Responsibilities include performing hands-on coding, integrating data sources, and managing the data extraction process. The ideal candidate will have strong coding skills in Python, SQL, and BI tools like Tableau, plus experience with advertising analytics and machine learning. #J-18808-Ljbffr

Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart‑sensor systems to high‑performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control code. What We Value: Integrity, Humility, Happiness What We Expect: Initiative, Collaboration, Completion Role: You will be joining the data science team that is focused on model optimization, will research, prototype, and validate low‑precision techniques that make neural networks leaner and faster on the ChimeraGPNPU. Your analyses will set the quantization recipes that ship in the ChimeraSDK and influence future hardware features. Responsibilities: Design statistically rigorous experiments to compare PTQ, QAT, pruning, and mixed‑precision schemes on vision, language, and multimodal models. Build calibration datasets; develop Python notebooks/dashboards to track accuracy, latency, power, and memory trade‑offs. Perform layer‑ and token‑level error analysis to guide numerical‑format choices. Partner with compiler team to convert your findings into turnkey SDK flows and reference configs. Publish internal whitepapers, external benchmarks, and present results to customers and at industry events. Monitor academic literature in compression and efficient inference; translate promising ideas into reproducible prototypes. Qualifications: M.S./Ph.D. in CS, EE, Applied Math, or similar, with5+years in ML model optimization or data‑science‑driven research. Deep grasp of fixed‑point arithmetic, quantization theory, and statistical calibration. Fluent in Python, PyTorch or TensorFlow, NumPy/Pandas/SciPy, and data‑viz tools (Matplotlib/Plotly). Hands‑on with at least one quantization toolkit (PyTorchFX/PTQ/QAT, TF‑Lite, ONNX‑Runtime, TVM, MLIRQuant). Working knowledge of CNNs, Transformers and DNN architectures. Benefits: Provide competitive salaries and meaningful equity. Health Care Plan (Medical, Dental & Vision). Retirement Plan (401k, IRA). Life Insurance (Basic, Voluntary & AD&D). Paid Time Off (Vacation, Sick & Public Holidays). Family Leave (Maternity, Paternity). Work From Home. Free Food & Snacks. Founded in 2016 and based in downtown Burlingame, California, Quadric is building the world's first supercomputer designed for the real‑time needs of edge devices. Quadric aims to empower developers in every industry with superpowers to create tomorrow's technology, today. The company was co‑founded by technologists from MIT and Carnegie Mellon, who were previously the technical co‑founders of the Bitcoin computing company 21. Quadric is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, religion, sex, national origin, sexual orientation, age, citizenship, marital status, or disability. #J-18808-Ljbffr

Azumo is currently looking for a highly motivated Data Scientist / Machine Learning Engineer to develop and enhance our data and analytics infrastructure. The position is FULLY REMOTE, based in Latin America. This position will provide you with the opportunity to collaborate with a dynamic team and talented data scientists in the field of big data analytics and applied AI. If you have a passion for designing and implementing advanced machine learning and deep learning models, particularly in the Generative AI space, this role is perfect for you. We are seeking a skilled professional with expertise in Python for production-level projects, proficiency in machine learning and deep learning techniques such as CNNs and Transformers, and hands‑on experience working with PyTorch. We're looking for a versatile Machine Learning Engineer / Data Scientist to join our big‑data analytics team. In this hybrid role you'll not only design and prototype novel ML/DL models, but also productionize them end‑to‑end, integrating your solutions into our data pipelines and services. You'll work closely with data engineers, software developers and product owners to ensure high‑quality, scalable, maintainable systems. Key Responsibilities Model Development & Productionization Design, train, and validate supervised and unsupervised models (e.g., anomaly detection, classification, forecasting). Architect and implement deep learning solutions (CNNs, Transformers) with PyTorch. Develop and fine‑tune Large Language Models (LLMs) and build LLM‑driven applications. Implement Retrieval‑Augmented Generation (RAG) pipelines and integrate with vector databases. Build robust pipelines to deploy models at scale (Docker, Kubernetes, CI/CD). Data Engineering & MLOps Ingest, clean and transform large datasets using libraries like pandas, NumPy, and Spark. Automate training and serving workflows with Airflow or similar orchestration tools. Monitor model performance in production; iterate on drift detection and retraining strategies. Implement LLMOps practices for automated testing, evaluation, and monitoring of LLMs. Software Development Best Practices Write production‑grade Python code following SOLID principles, unit tests and code reviews. Collaborate in Agile (Scrum) ceremonies; track work in JIRA. Document architecture and workflows using PlantUML or comparable tools. Cross‑Functional Collaboration Communicate analysis, design and results clearly in English. Partner with DevOps, data engineering and product teams to align on requirements and SLAs. At Azumo we strive for excellence and strongly believe in professional and personal growth. We want each individual to be successful and pledge to help each achieve their goals while at Azumo and beyond. Challenging ourselves and learning new technologies is at the core of what we do. We believe in giving back to our community and will volunteer our time to philanthropy, open source initiatives and sharing our knowledge. Based in San Francisco, California, Azumo is an innovative software development firm helping organizations make insightful decisions using the latest technologies in data, cloud and mobility. We combine expertise in strategy, data science, application development and design to drive digital transformation initiatives for companies of all sizes. If you are qualified for the opportunity and looking for a challenge please apply online at Azumo/join-our-team or connect with us at *************** Minimum Qualifications Bachelor's or Master's in Computer Science, Data Science or related field. 5+ years of professional experience with Python in production environments. Solid background in machine learning & deep learning (CNNs, Transformers, LLMs). Hands‑on experience with PyTorch or similar frameworks (training, custom modules, optimization). Proven track record deploying ML solutions. Expert in pandas, NumPy and scikit‑learn. Familiarity with Agile/Scrum practices and tooling (JIRA, Confluence). Strong foundation in statistics and experimental design. Excellent written and spoken English. Preferred Qualifications Experience with cloud platforms (AWS, GCP, or Azure) and their AI‑specific services like Amazon SageMaker, Google Vertex AI, or Azure Machine Learning. Familiarity with big‑data ecosystems (Spark, Hadoop). Practice in CI/CD & container orchestration (Jenkins/GitLab CI, Docker, Kubernetes). Exposure to MLOps/LLMOps tools (MLflow, Kubeflow, TFX). Experience with Large Language Models, Generative AI, prompt engineering, and RAG pipelines. Hands‑on experience with vector databases (e.g., Pinecone, FAISS). Experience building AI Agents and using frameworks like Hugging Face Transformers, LangChain or LangGraph. Documentation skills using PlantUML or similar. Benefits Paid time off (PTO) U.S. Holidays Training Udemy free Premium access Mentored career development Profit Sharing $US Remuneration #J-18808-Ljbffr

Company Credit Genie is a mobile-first financial wellness platform designed to help individuals take control of their financial future. We leverage artificial intelligence to provide personalized insights and are building a financial ecosystem by offering tools and services that provide instant access to cash, and building credit. Our goal is to empower every customer to achieve long-term financial stability. Founded in 2019 by Ed Harycki, former Swift Capital Founder (acquired by PayPal in 2017). Backed by Khosla Ventures and led by industry pioneers from companies such as PayPal, Square, and Cash App, we are well positioned to build the future of inclusive finance through cutting-edge technology and customer‑centric solutions. Overview Come join our AI/ML and Data Science community at Credit Genie! We are seeking a technical Data Science leader with a solid background in analytics and the consumer risk domain who is excited about solving hard Data Science and analytics problems and driving results while maintaining the highest bar for methodological rigor. In this role, you will have an opportunity to design and implement our company's next generation of risk optimization strategies that will have a vast impact across underwriting, fraud prevention, and collections. These risk optimization strategies are central to our business and have a direct impact on our customers every day. You will design, execute, and evaluate experiments to drive continuous learning and improvement in our risk optimization processes. What You'll Do Leverage advanced analytics and machine learning models to optimize Credit Genie's risk strategies across credit, fraud, and collections Own the development and delivery of risk insights, driving data‑informed decisions that minimize losses while enabling sustainable business growth Monitor and analyze key risk KPIs, identify emerging loss trends, and propose strategy enhancements to continuously improve approval and portfolio performance Collaborate cross‑functionally with Product, Engineering, Data, and Machine Learning teams to align on shared objectives, provide strategic insights, and deliver actionable solutions Act as a strategic risk advisor to business stakeholders, translating complex analyses into clear, high‑impact recommendations Tackle ambiguous, high‑impact problems with creativity and analytical rigor, developing novel solutions that directly improve customer experience and portfolio outcomes Requirements A Bachelor's degree in Statistics, Mathematics, Business, Economics, or related fields; an advanced degree is preferred 8+ years of experience analyzing data using SQL or Python. Proficiency in Python for data processing and modeling is preferred Hands‑on experience in risk strategy within payments, lending, banking, or financial institutions is a plus Proven ability to design, execute, and interpret experiments (e.g. A/B testing or causal analysis) to measure impact and inform risk strategy Exceptional problem‑solving abilities, analytical rigor, and the ability to translate complex findings into actionable insights for non‑technical audiences Strong organizational skills with the ability to manage multiple projects in a fast‑paced environment and meet tight deadlines Experience with SQL and data platforms such as Snowflake, Databricks, and Tableau Benefits and Perks Our goal is to provide a comprehensive offering of benefits and perks that promote better financial, mental, and physical wellness. We believe working alongside each other in person is the best way to build a great product and foster a strong company culture. Our expectation is that employees are in the office five days a week, allowing for optimal collaboration, inclusivity, and productivity. At the same time, we understand that life happens and recognize the importance of flexibility. We are committed to supporting our employees when circumstances arise that require remote work or adjusted schedules. Our goal is to ensure everyone can effectively balance personal and professional responsibilities while maintaining our collaborative and productive environment. Here are some highlights of our benefits and perks offerings, feel free to ask your recruiting partner for more details on our comprehensive offering for employees. 100% company‑paid medical, dental, and vision coverage for you and your dependents on your first day of employment. Monthly fitness reimbursement up to $100 or a full membership to LifeTime Fitness 401(k) with a 2.5% match and immediate vesting Meal program for breakfast, lunch, and dinner Life and accidental insurance Flexible PTO Your actual level and base salary will be determined on a case‑by‑case basis and may vary based on the following considerations: job‑related knowledge and skills, education, and experience. Base salary is just one part of your total compensation and rewards package at Credit Genie. You may also be eligible to participate in the bonus and equity programs. You will also have access to comprehensive medical, vision, and dental coverage, a 401(k) retirement plan with company match, short & long term disability insurance, life insurance, and flexible PTO along with many other benefits and perks. Credit Genie is a proud Equal Opportunity Employer where we welcome and celebrate differences. We are committed to providing a workspace that is safe and inclusive, where everyone feels supported, connected, and inspired to do their best work. If you require any accommodations to participate in our recruitment process, please inform us of your needs when we contact you to schedule an interview. #J-18808-Ljbffr

A fast-growing tech company in San Francisco is seeking a Staff Data Scientist to drive the development of AI solutions optimizing procurement for enterprise clients. Responsibilities include leading data science initiatives, designing ML models, and collaborating with cross-functional teams. Candidates should have over 6 years of experience, strong technical skills in Python and SQL, and a relevant degree. This role offers a competitive salary and remote-first culture. #J-18808-Ljbffr

A pioneering AI supplier intelligence firm based in San Francisco is hiring a Data Scientist to engage and drive activity in a buyer-supplier marketplace. The ideal candidate will have 4-7 years of data science experience, strong skills in Python and SQL, and a passion for AI. This role involves developing AI features, analyzing supplier data, and shaping strategies across teams. The company offers competitive compensation, a remote-flexible culture, and a commitment to innovation. #J-18808-Ljbffr

An innovative biotech company is seeking a Global Head of Data Science to lead biostatistics and data management for their clinical trials. This strategic leadership role involves developing data strategies to accelerate drug discovery and ensuring compliance with global regulatory standards. The ideal candidate holds a PhD and has over 10 years of experience in biostatistics and oncology trials, with a strong focus on leading high-performance teams. Join us in transforming cancer treatment with groundbreaking therapies. #J-18808-Ljbffr

A leading healthcare AI company based in Chicago is seeking a Machine Learning Engineer/Data Scientist to develop AI solutions that improve patient care. You will design and optimize machine learning models, collaborate with diverse teams, and stay updated on industry innovations. Ideal candidates possess a strong background in machine learning, proficiency in programming languages like Python, and experience with cloud platforms. Join us for a competitive salary and opportunities for personal development and equity participation. #J-18808-Ljbffr

Join the Tilt team At Tilt (formerly Empower), we see a side of people that traditional lenders miss. Our mobile-first products and machine learning-powered credit models look beyond outdated credit scores, using over 250 real-time financial signals to recognize real potential. Named among the next billion-dollar startups, we're not just changing how people access financial products - we're creating a new credit system that backs the working, whatever they're working toward. The Opportunity: Staff Data Scientist Our data scientists are responsible for the entire machine learning model development process from conception with stakeholders, creation of model pipelines, technical development, deployment, and partnership with the credit, product, and finance teams to make business decisions. The ideal candidate is passionate about using data and models to drive business growth and help customers improve their financial situations. For this role, we're looking for a seasoned data scientist to work within our talented DS team for Tilt Cash Advance and Thrive Line of Credit products. This individual will own creating and improving credit risk models, building ML based paycheck detection algorithms to help the business decrease loss rates and increase approval rates. The right person for this role is someone who shines while solving complex problems and is comfortable with a wide variety of technical tools. Tilt is a remote-first company. We drive connectivity through regular company offsites. Travel for company offsites is expected at a minimum 2 times a year. How You'll Make an Impact Grow user base and increase retention through machine learning and analytics Build machine learning models with large scale data sets to address business priorities Design and influence strategies on underwriting, marketing, fraud and customer experience Work closely with our engineering team as you implement models in production Collaborate effectively with operations and product to ensure the work fits into the broader strategy and business context Develop data standards and analytics pipelines to facilitate current and future analysis Why You're a Great Fit BS degree in engineering, computer science, finance or mathematics 6+ years industry experience in data mining, machine learning, statistical analysis, and/or predictive modeling Deep understanding of statistics and machine learning techniques, including regression, classification, clustering and optimization Experience building predictive models from scratch Strong programming skills in Python with intermediate to advanced knowledge of SQL Demonstrable experience with ML packages: scikit-learn, LightGBM, XGBoost, SparkML, etc. Knowledge in deep learning and experience with DL toolkits (Tensorflow, Keras, PyTorch) is preferred though not required Comfort working with a variety of cross functional partners in tech, product, credit, and business Exceptionally strong problem solving and communication with the ability to both get in the weeds and communicate to an executive audience Don't meet every qualification? We care about potential over your past. If you're bringing ambition and drive to what we're building, we want to hear from you. What you'll get at Tilt Virtual-first teamwork: The Tilt team is collaborating across 14 countries, 12 time zones, and counting. You'll get started with a WFH office reimbursement. Competitive pay: We're big on potential, and it's reflected in our competitive compensation packages and generous equity. Complete support: Find flexible health plans at every premium level, and substantial subsidies that stand up to global standards. Visibility is yours: You can count on direct exposure to our leadership team - we're a team where good ideas travel quickly. Paid global onsites: Magic happens IRL: we gather twice yearly to reconnect over shared meals or kayaking adventures. (We've visited Vail, San Diego, and Mexico City, to name a few.) Impact is recognized: Growth opportunities follow your contributions, not rigid promotion timelines. The Tilt Way We're looking for people who chase excellence and impact. Those who stand behind their work, celebrating the wins and learning from the missteps equally. We foster an environment where every voice is valued and mutual respect is non-negotiable - brilliant jerks need not apply. We're in this together, working to expand access to fair credit and prove that people are incredible. When you join us, it's not just another day at the [virtual] office, you're helping millions of hardworking people reach better financial futures. You're pushing ahead in your career? We can get behind that. Join us in building the credit system that people deserve. #J-18808-Ljbffr

M3 USA is at the forefront of healthcare innovation, offering digital solutions across healthcare, life sciences, pharmaceuticals, and more. Since our inception in 2000, we've seen remarkable growth, fueled by our mission to utilize the internet for a healthier world and more efficient healthcare systems. Our success is anchored in our trusted digital platforms that engage physician communities globally, facilitating impactful medical education, precise job placement, and insightful market research. M3 USA prides itself on a dynamic and innovative work environment where every team member contributes to global health advancements. Joining M3 USA means being part of a dedicated team striving to make a significant difference in healthcare. We provide a unique opportunity for you to be at the cutting edge of healthcare innovation, shaping the future in a meaningful career. Embrace the chance to drive change with M3 USA. Due to our continued growth, we are hiring for a Research Analyst at M3 MI , an M3 company. About the Business Unit: M3 MI serves the consumer and professional health market with industry-leading syndicated survey data and insights covering patient and HCP attitudes, behaviors and media consumption, and HCP advertising intelligence, to help clients better understand their customers and make informed marketing decisions. M3 MI's clients include pharma, medical device and hospital advertisers, their ad agencies and the digital and traditional media channels they work with. We support clients in marketing, advertising creative, strategy and media planning, media research and sales, and many other roles that rely on M3 MI data to succeed in their jobs. We are seeking a Research Analyst with pharma or other healthcare marketing/advertising/media experience who is fascinated by how healthcare professionals (HCPs) and patients consume information, and how pharma and other healthcare marketers connect with these customers. Our work focuses on the "where", "how" and “why” of health communications, utilizing our deep syndicated datasets to analyze overall media consumption, channel preferences (digital, print, social, peer-to-peer), and the underlying attitudes that drive these behaviors. Your job will be to take this data and help pharma clients and their advertising agencies and media partners understand the most effective ways to reach their audience. You will work under the guidance of a senior lead to transform survey findings into strategic recommendations that inform omnichannel media plans and communication strategies. Key Responsibilities Media & Channel Analysis : Extract and interpret insights from large-scale syndicated studies regarding how HCPs and patients interact with various media platforms. Competitive advertising analysis : Mine M3 MI ad intelligence data to understand advertising investment, audience targeting and messaging strategies of customers and their competitors Strategic Utility : Focus on the actionability of the data. You will help answer the client's core questions such as: "Which channels should we prioritize to reach this specialty, and why?" Agency-Style Deliverables : Design and build high-quality PowerPoint presentations that move beyond simple charts to provide a "strategic POV" on media consumption and advertising trends. Synthesis of Attitudes & Behaviors : Connect qualitative attitudes (e.g., trust in specific information sources) with quantitative behavior (e.g., frequency of use) to build a complete audience profile. Stakeholder Support : Partner with our Sales and Service teams to ensure our insights align with the client's broader media planning and marketing objectives. Qualifications Experience: 3+ years at a media planning agency, communications consultancy, or healthcare research firm. You should be familiar with how agencies and consultants use data to justify media spend and strategy and have hands-on experience with industry-standard media planning and competitive intelligence tools such as Nielsen, MRI Simmons, Comscore, or MediaRadar . Industry Knowledge: Understanding of the healthcare/pharma media landscape-for example, knowing the difference between point-of-care networks, professional journals, and digital peer-to-peer platforms. Data Interpretation & Communication: Proven ability to look at audience consumption data and translate it into a "So What?" for a media buyer or brand strategist. Technical Skills: High proficiency in Excel, Cross-tabulation platforms such as Nielsen Clear Decisions or Telmar (analysis of large datasets), and PowerPoint (visualizing strategic takeaways). Remote Pro: Strong communication skills and the ability to work independently and proactively within a collaborative, remote team. Preferred Skills Direct experience with M3 MI platforms and data is a significant advantage. Experience with data visualization/dashboard tools like Power BI, Dapresy, or Tableau. Education in Advertising, Communications, Marketing, or a related field. Additional Information Benefits: A career opportunity with M3 USA offers competitive wages, and benefits such as: Health and Dental Life, Accident and Disability Insurance Prescription Plan Flexible Spending Account 401k Plan and Match Paid Holidays and Vacation Sick Days and Personal Day *M3 reserves the right to change this job description to meet the business needs of the organization M3 USA is an equal opportunity employer, committed to the principles of inclusion and diversity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at M3 USA are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical or mental disability, medical history or genetic information, sexual orientation, gender identity and/or expression, marital status, past or present military service, family or parental status, or any other status protected by the federal, state or local laws or regulations in the locations where we operate. #LI-JM1 #LI-Remote

ABI Research is looking for a Research Analyst who will be responsible for researching and tracking multiple innovative and cutting-edge technologies that fall under the term of Industry 4.0. These technologies include those that enable manufacturing firms to improve their designs (such as generative design software), automate their production processes, and improve quality levels by utilizing AI, all the while improving the sustainability of their products and environmental footprint. Specific responsibilities include: Author syndicated research reports, market forecasts, and articles covering technologies that enable design, manufacturing, and production engineers to work more productively. Work on custom research and consulting projects supporting technology vendors by providing leadership on approach and methodology. Represent ABI Research as a key expert in our manufacturing technologies coverage areas. Interview key stakeholders across the entire ecosystem and understand how new technologies and innovations will make their way into the marketplace. Prepare presentations and participate in conferences, webinars, and online events that pertain to manufacturing technologies. Be an active team member and own a significant part of the overall manufacturing technology research agenda, including commercial activities. Support and share expertise with other ABI Research analysts. Support sales and business development activities by preparing customer-specific analysis, and by participating in key meetings with clients, prospects, and partners. Requirements: This is a full-time position and candidates must be eligible to work in the United States. Candidates will need to have a bachelor's degree as a minimum. Curiosity, passion and enthusiasm for technology innovation are musts for this role. Eloquent and outstanding written and verbal communication skills. Experience in both quantitative and qualitative analysis would be beneficial. On-the-job training provided; the Research Analyst will work on live projects immediately, alongside senior team members. The role requires a “self-starter” as the position is offered on a remote-only basis and so the successful candidate will need to self-disciplined and happy working individually but also in small, usually multi-disciplined/multinational groups. Location: ABI Research is fully remote in the U.S., with physical offices in the U.K. and Singapore. Company Description ABI Research is a forward-thinking, fast-paced company specializing in the technologies of tomorrow. ABI Research is family-friendly, with locations throughout the United States, the United Kingdom, and Singapore. Additionally, we have many employees who work remotely from home, either full-time or part of the time. ABI offers competitive compensation along with an extremely generous benefit and vacation package in addition to rewarding achievement by promoting within. Be part of a global team of thought leaders and influencers and apply today!

AUDITOR GENERAL The Arizona Auditor General serves as an independent source of impartial information concerning State and local governmental entities and provides specific recommendations to improve the operations of those entities. We achieve our mission through the thoroughly specific research, audits, and investigations of our professional team members who educate stakeholders through our reports, alerts, and reviews. Since 1969, our office has continued to innovate, grow, and become one of the most highly regarded leaders in our field. Join our team and make a positive difference in your community by promoting better government for all Arizona's citizens. We look forward to working with you! Experienced Program Analyst-Performance Auditor (Auditor II) Job Location: Address: 2910 N. 44th St. Phoenix, AZ 85018 Posting Details: Salary Depending on Experience: With Bachelor's degree $68,000-$71,000 With Master's degree $71,000-$74,000 YOU MUST APPLY ON OUR WEBSITE. Key Responsibilities: TO BE CONSIDERED, YOU MUST APPLY ON OUR WEBSITE. Conduct performance audits and follow up on previously issued performance audit reports of State agencies and programs. Independently gather information and help identify areas of inquiry, perform audit procedures to obtain evidence, and prepare well-documented work papers to support audit findings and recommendations. Draft audit findings and appropriate recommendations for improvement that meet Auditor General standard for clarity and completeness. Verbally communicate the results of your work with Auditor General and State agency management. Occasionally travel out of town to conduct audits. Qualifications: Specialized education/experience: Bachelor's degree in the social sciences or humanities AND at least 2 years' experience in performance auditing, financial or internal auditing, program evaluation, management or policy analysis, or related experience, OR Master's degree in the social sciences or humanities and at least 1 year of experience in the above fields. No accounting degree or accounting experience needed. Knowledge and understanding of the Governmental Accounting Standards Board's accounting and reporting standards at an intermediate level. Strong interest in public service and improving State government. Ability to synthesize audit evidence to reach conclusions. Excellent analytical, research, critical thinking, time management, and verbal and written communication skills. Ability to work both independently and collaboratively and prioritize under tight deadlines. Must have valid Arizona driver's license and reliable transportation. Pre-Employment Requirements: If this position requires driving or the use of a vehicle as an essential function of the job to conduct State business, then the following requirements apply: Driver's License Requirements. All newly hired State employees are subject to and must successfully complete the Electronic Employment Eligibility Verification Program (E-Verify). Benefits: The Arizona Auditor General offers a comprehensive benefits package to include: • Generous vacation with 10 paid holidays per year and paid sick leave • Health, dental, and vision insurance• Retirement plan with 100% employer match • Life insurance and long-term disability insurance • Optional short-term disability insurance, deferred compensation plans, and supplemental life insurance • Flexible work schedules, including telecommuting options • Business casual dress code • Continuing education and path to advancement A hybrid remote work schedule is a management option and not an employee entitlement or right. An agency may terminate a remote work agreement at its discretion. Retirement: Arizona State Retirement System Contact Us: If you have any questions, please contact *********************** for assistance. AN EQUAL EMPLOYMENT OPPORTUNITY AGENCY

As a Decision Science Analyst III, you will play a key role in driving data-driven decision-making within our organization. Decision Science Analysts blend proficiency in data, analytical methods, and business context to drive insights and identify solutions. You will accomplish these objectives by collaborating with business stakeholders, data engineers, data scientists, and other analysts. We are looking for candidates who are energized about exploring data in search of meaning and have a high technical aptitude for quantitative methods, data visualization, and code-based data querying and analysis tools. Ready to get in the driver's seat? Join us! What you'll do You apply appropriate scientific and quantitative methods to data to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change. You communicate findings effectively to less technical audiences incorporating visualization techniques. You identify, gather, and enrich data to design and develop measures, metrics, features, and complex data sets for AI/ML, business intelligence, and other analytic projects. You actively contribute to the planning and execution of the enterprise data roadmap by identifying data gaps and defining the sources, transformations, business rules, and other requirements in collaboration with engineering, analytics, and business teams. You plan, design, develop, and deploy self-service business intelligence solutions that provide transparency and increased decision-making capacity to the business. You write code of high quality in multiple languages to query, transform, combine, analyze, and visualize data following best practices including debugging, versioning, documentation, and peer review. You design data and analytic solutions to solve ambiguous and hypothetical business problems. You take reasonable measures to ensure accuracy, appropriateness, and completeness of data and method of analysis for the task, pursue problem identification and recommend solutions. In your role as an established individual contributor, you work to achieve day-to-day objectives that contribute to specific operational targets. You are the owner of the items on your to-do list. You communicate with colleagues typically within your own job area and may communicate externally as necessary. You may work to gain cooperation by sharing information about policies and procedures to other teams. The problems or issues that you face in your job are identifiable and typically solved using precedent or conducting analyses and using your discretion. You may help your team improve work practices by recommending adjustments to existing systems and processes. You work independently with general supervision on larger, moderately complex projects/assignments. You may take the lead on defined components of projects or processes within area of responsibility, as well as provide guidance to more junior team members. This might describe you Bachelor's or higher degree in a technical or quantitative discipline. Equivalent relevant experience may be considered in lieu of a degree. You have practical industry experience using statistical methods to derive insights from data and preparing model-ready data sets for use in AI/ML models. You have practical industry experience with deploying a broad range of self-service BI solutions for business users using modern BI tools such as Tableau, Power BI, etc. You have practical industry experience using SQL, and R or Python to query, combine, transform, visualize, and analyze data. You possess strong decision-making and critical-thinking skills. You effectively present analyses and recommendations to non-technical and technical audiences. Other things to note This role can be worked from any U.S. remote location. Familiarity with public company requirements, including Sarbanes Oxley and key regulations, if applicable. For SOX compliant roles, responsible for designing, executing, and documenting internal controls where they have been identified as owners to prevent errors in financial reporting, processes, and business operations. Including attestation to the completeness, accuracy, and compliance of all financial reporting data, where applicable. Say hello to Hagerty Hagerty is an automotive enthusiast brand and the world's largest membership organization. Along with being a best-in-class provider of specialty insurance for enthusiasts, Hagerty is also home to the Hagerty Drivers Foundation, Garage + Social, Hagerty Drivers Club, Marketplace and so much more. Committed to saving driving for future generations, each and every thing Hagerty does is dedicated to the love of the automobile. Hagerty is a rapidly growing company that values a winning culture. We provide meaningful work for and invest in every single team member. At Hagerty, we share the road. We are an inclusive automotive community where all are welcomed, valued and belong regardless of race, gender, age, or car preference. We are united by our shared passion for driving, our commitment to preserve car culture for future generations and our desire to make a positive impact in the world. If you reside in the following jurisdictions: California, Colorado, District of Columbia, Hawaii, Illinois, Maryland, Minnesota, Nevada, New York, New Jersey, Ohio, Rhode Island, Vermont, Washington, or Canada please email ********************** for compensation, comprehensive benefits and the perks that set us apart. #LI-remote EEO/AA US Benefits Overview Canada Benefits Overview UK Benefits Overview If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!