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Job Description About Carvana... At Carvana, we're changing the way people buy and sell cars. With an ambitious vision and a fundamentally different approach designed to be fun, fast, and fair, Carvana became the fastest-growing automotive retailer in history. We expanded nationally, went public on the New York Stock Exchange, sold our 1 millionth car, and reached the Fortune 500, all in just eight years. Today, with 4 million retail customers and counting, Carvana is both the fastest-growing and the most profitable public automotive retailer, and we're just getting started. We continue to raise the bar for our customers as we tackle the enormous opportunity still ahead in the largest consumer vertical. Working here means being part of a team that embraces change, celebrates creative problem solving, and always strives to be better. At Carvana, you'll have the opportunity to take on meaningful challenges, learn quickly, and help shape the future of automotive retail. If you're driven to grow and make an impact as part of a collaborative team, you'll fit right in. Learn more about what it's like to work here from the people that already do. Work Model: This is a 100% on-site role at our Tempe office, Monday through Friday. About the Role This role sits within Carvana's Credit & Risk modeling space, working on high-impact predictive models that inform risk assessment and decisioning across the business. We are looking for a senior individual contributor who will help advance the technical capabilities of our core credit and risk models by developing, validating, and productionizing new modeling techniques and data signals. Success in this role comes from steady, compounding improvement—introducing new ideas pragmatically, proving value early, and iterating toward more sophisticated approaches over time. While the work will focus on flagship credit and risk models, successful techniques and signals are expected to scale outward to other models and teams through shared workflows and modeling infrastructure. This role is well suited for someone who operates comfortably at the intersection of advanced modeling and real-world delivery to balance tradeoffs between complexity and business objectives. What You'll Be Doing • Improve core credit and risk models through a sequence of incremental advancements in accuracy, robustness, and coverage over time., • Leverage a wide range of structured and unstructured data sources across multiple modalities to drive sustained improvements in model accuracy and decision quality., • Design, train, and deploy advanced machine learning models, including (but not limited to) gradient boosting, representation learning, embeddings, and transformer-based approaches., • Use high-impact models as a testing ground for new techniques and data modalities, validating which ideas deliver measurable lift in production., • Build and apply rigorous evaluation frameworks (offline validation, backtests, simulations, online experiments) to guide iteration and decision-making., • Exercise strong judgment about model complexity and tradeoffs, balancing sophistication with reliability and maintainability., • Partner closely with data engineering and platform teams to ensure models are production-ready, scalable, monitorable, and maintainable., • Translate successful work into reusable patterns, abstractions, or signals that can be adopted across other modeling efforts., • 5-8+ years of experience building and deploying predictive models in production environments., • A demonstrated track record of delivering models and improving them iteratively over time, not just developing them offline., • Strong experience with modern machine learning techniques (e.g., LightGBM/XGBoost, neural networks, representation learning)., • Excellent statistical intuition, including comfort reasoning about bias/variance tradeoffs, generalization, and experimental validity., • Fluency in Python and SQL, with production-quality coding standards., • Hands-on experience with embeddings, transformers, or other deep representation models in real-world systems., • Experience integrating unstructured or semi-structured data (text, images, documents, device signals) into predictive models., • Familiarity with model monitoring, drift detection, and retraining strategies for high-impact decision systems., • An advanced degree in a quantitative field is welcome but not required if you have equivalent industry experience. Over time, success in this role is reflected by: • Measurable improvements in the accuracy, robustness, or coverage of core credit and risk models., • New modeling techniques or data signals that transition from experimentation into sustained production use., • Clear patterns or abstractions that enable other teams to adopt and build on this work., • Full-Time Salary Position with a competitive salary., • Medical, Dental, and Vision benefits., • 401K with company match., • A multitude of perks including student loan payments, discounts on vehicles, benefits for your pets, and much more., • A great wellness program to keep you healthy and happy both physically and mentally., • Access to opportunities to expand your skill set and share your knowledge with others across the organization., • A company culture of promotions from within, with a start-up atmosphere allowing for varied and rapid career development. Hiring is contingent on passing a complete background check. This role is eligible for visa sponsorship. Carvana is an equal employment opportunity employer. All applicants receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, marital status, national origin, age, mental or physical disability, protected veteran status, or genetic information, or any other basis protected by applicable law. Carvana also prohibits harassment of applicants or employees based on any of these protected categories. Please note this job description is not designed to contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

Job Description Job Title: Data Scientist (Healthcare AI, Mid-Level) Location: Scottsdale, AZ, $80K to $130K, must be authorized to work in USA, no visa sponsorship available Company Overview: Lifekind Health is a leading provider of transdisciplinary pain management patient care and is launching Savas Software AI-enabled next generation healthcare software. We combine clinical excellence with advanced machine learning, analytics engineering, LLM analysis, and intelligent automation to transform how care is delivered. We are committed to providing exceptional patient care and dedicated to improving healthcare delivery through innovative technology. We are building the data and ML foundation that will power the future of personalized, proactive, and value-based healthcare. Position Overview: We are seeking a technically strong, impact-driven Data Scientist with experience building ML-based predictive products and advanced analytics (including LLM based) in real-world environments. In this role, you will work with diverse and complex healthcare datasets—EHR, scheduling, billing, claims, structured & unstructured clinical data—to design, train, and deploy machine learning models that directly influence patient care, operational performance, and clinical efficiency. This is a high-ownership, hands-on role where you’ll help shape our intelligent data platform, build production-ready features, experiment with models, and collaborate with engineering teams to deploy AI products. If you enjoy solving messy, high-impact healthcare problems using AI, this role is for you. Key Responsibilities Machine Learning & Predictive Analytics • Develop and deploy AI/ML models that power key products such as:, • Procedure Appropriateness, • Patient no-show prediction, • Appointment optimization, • Clinical risk stratification, • Patient adherence forecasting, • Provider utilization and throughput prediction, • Perform feature engineering using clinical, operational, and financial data., • Experiment with algorithms (tree-based models, GLMs, ensemble methods, NLP, deep learning where appropriate)., • Evaluate models using rigorous statistical and ML performance metrics., • Collaborate with ML Engineering to productionize models on Azure Data Analysis & Insights • Conduct exploratory data analysis (EDA) on EHR, scheduling, billing, and procedural data to uncover trends, biases, and quality issues., • Translate clinical guidelines and workflows into computable, data-driven logic., • Generate actionable insights that drive clinical and operational decision-making. Data & Feature Pipelines • Transform raw healthcare data into modeling-ready datasets (structured + unstructured)., • Implement data validation, quality checks, and scalable transformation logic., • Collaborate with Data Engineering to ensure high-quality, well-governed data pipelines. LLMs, NLP & Unstructured Data (Nice-to-Have but Valuable) • Work with LLMs (Open AI, Anthropic Claude) to research and conceptualize recommendations, • Apply basic NLP techniques to extract signal from clinical notes and operational text., • Explore entity extraction, rule-based labeling, embedding-based features, etc. Visualizations & Storytelling • Create dashboards and data visualizations using Power BI or Python to communicate insights., • Present findings and recommendations to clinicians, operations leaders, and executives. Technical Environment (Azure AI/ML & Analytics) You’ll work within a modern AI/ML and analytics stack, including: • LLMs: Open AI, Anthropic Claude, • Core Languages: Python, SQL, • Libraries & Frameworks: Scikit-learn, XGBoost, LightGBM, Pandas, NumPy, NLP libraries, • Visualization: Power BI, Plotly, Matplotlib, Seaborn Qualifications • 2 or more years of experience in data science, machine learning, or applied analytics., • Strong Python + advanced SQL skills for data manipulation, modeling, and EDA., • Experience developing and evaluating ML models in real-world environments., • Experience with healthcare datasets (EHR, claims, clinical notes, billing, scheduling) is a strong advantage., • Strong understanding of feature engineering, statistical methods, and model validation., • Ability to clearly communicate technical concepts to non-technical stakeholders. Preferred Skills • Exposure to Prompt Engineering and working with LLMs (Open AI, Anthropic Claude), • Exposure to NLP for clinical text., • Experience with Azure Data Factory, Azure Functions, Azure Open AI, • Experience deploying or operationalizing ML models (Azure ML ideal)., • Master’s degree in Data Science, CS, Statistics, Biomedical Informatics, or related field., • Familiarity with HIPAA, PHI handling, and healthcare data governance. What Success Looks Like • Production-ready ML models that drive measurable improvements in clinical operations., • High-quality datasets, features, and reproducible pipelines powering our AI platform., • Actionable insights that influence patient outcomes and reduce operational friction., • Ability to independently drive complex data projects end-to-end with minimal supervision. What Sets Us Apart: Our team is mission-driven and united by a common purpose: healing humanity through a revolutionary transdisciplinary model. The model addresses the quadruple aim of healthcare: enhancing patient experience, improving patient health, reducing healthcare costs, and increasing employee satisfaction. We thrive on collaboration, and each member is a self-starter, empowered to unblock themselves and move forward with confidence. If you are passionate about impacting healthcare, enjoy taking initiative, and are comfortable with ambiguity, you’ll find a great fit with us.

Job Description Soaren provides customer-centric alternative lending solutions in consumer markets via proprietary underwriting and loan management systems. With multiple verticals in the financial services industry, Soaren excels in customized portfolio management, software development, customer service, telecommunications, automated application processing, and asset recovery. We have built top-of-the-line proprietary software platforms to underwrite and manage loans, which we strive to continually innovate upon. And that’s where you come in. Soaren is adding a Senior Data Scientist to our Fintech start-up, which is stable, profitable, and rapidly growing. We offer great compensation, benefits, environment, and performance-based rewards. We are currently looking for an experienced Senior Data Scientist with deep technical and statistical knowledge and a proven track record to drive business value using advanced data analysis and machine learning techniques. This position will collaborate with executives and other business departments to contribute to initiatives that assure portfolio growth and performance, adapt to changing market conditions, and identify fraudulent activity. The Senior Data Scientist reports directly to the Head of Data Science. Responsibilities • Analyze complex data sets to reduce costs and improve customer experience., • Create systems for gathering, extracting, preparing data from multiple sources., • Evaluate call center services and consumer experiences with measurable data points., • Develop, deploy, and maintain machine learning models for credit scoring and optimization of operations. Take ownership of the ML process from development through production., • Identify opportunities to leverage machine learning insights across the business., • Given a business problem, identify related data sources, construct a process and create a model that solves the problem., • Observe and maintain model governance and compliance standards across all production applications., • Understand operational key performance indicators, report trends and patterns., • Communicate machine learning insights to business stakeholders., • Collaborate across Operations, Compliance, IT, Finance, or other departments., • Develop relationships with external vendors and evaluate data studies of vendor products., • Mentor junior team members and share knowledge with others in the department., • Follow all company policy and procedures., • Display leadership through punctuality and professionalism while performing required duties., • Other related duties as assigned. Qualifications • Advanced degree in Statistics, Data Science, Mathematics, Computer Science, or another quantitative field., • 3+ years of proven experience building and deploying statistical and machine learning models., • 3+ years of experience using Python to manipulate data and draw insights from large data sets., • Deep experience and knowledge of tree-based and boosting algorithms (eg, XGBoost, LGBM) is required., • Demonstrated experience with cloud data platforms and contemporary model and data pipeline technology., • Strong SQL and data-wrangling skills – experience specifying and completing analyses from scratch., • Familiarity with MLOps technologies and the machine learning life cycle., • Experience with model deployment and API maintenance using Python and Flask., • Experience with version control software and methodologies., • Strong written and verbal communication skills., • Experience working in a startup environment and/or consumer lending a plus., • Must meet requirements of company background check policy requirements. Success Measures • Ability and willingness to self-start and self-manage in a high volume, data-driven environment., • Ability to enhance portfolio outcomes through analytics and operational acumen., • Ability to scope, lead, manage, and execute assigned projects with effective data visualization., • Achieve goals while promoting a positive attitude true to our mission and core values. Compensation and Benefits: • Highly competitive salary, • Remote-work capabilities, • Performance based rewards, • Unlimited vacation time, • Dog-friendly office, • Casual work environment, • A small executive team with promotion opportunities, • Company sponsored medical/dental/vision/life insurance/AD&D, • 401k with generous company matching, • Paid parental leave, • Excellent work-life balance, • Beautiful office with huge breakrooms, snacks, and activities Our Company Mission: Soaren merges time-tested business practices with bleeding-edge proprietary technologies to deliver reliable, efficient and secure financial products and services. Our greatest strengths, technology and customer care, flow from the ingenuity, curiosity and integrity of our partners and employees. Vision Statement: Soaren works toward a future where all consumers have broad and immediate access to a range of reliable, efficient, and secure financial products and services, expedited by constantly evolving technologies. Soaren’s Commitment to its Talent: Soaren believes our success flows directly from our employees. Our employees are at the heart of our success. As such, it's in our best interest to provide all the support they need to succeed and thrive. For that reason, Soaren is expanding its search for fresh talent and developing our current talent. Our commitment to our team ensures value and service to our ever-growing customer base through hiring and growing our people-centric, diverse, and forward-thinking talent. We live in our values of Innovation, Superior Customer Care, Compliance, Community, Balance, and working by the Golden Rule. EEO Policy: Soaren provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Job Description Hi, we're Oscar. We're hiring a Senior Data Scientist to join our Data Team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role: The Senior Data Scientist, Advanced Risk Modeling, is a senior individual contributor role focused on utilizing advanced machine learning (ML) and artificial intelligence (AI) methodologies on modern ML platforms. This role will build and deploy sophisticated models to help solve complex business problems specifically within Oscar's risk adjustment domain. You will report into the Director of Data Work Location: This position is a hybrid role based in our New York City office, Los Angeles Office, or Tempe Office requiring a hybrid work schedule with 3 days of in-office work per week Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $158,400- $207,900 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities: • Conduct in-depth data analysis and advanced feature engineering using large, complex healthcare datasets to create robust predictors., • Design, develop, and validate advanced ML/AI models (e.g., regression/classification, deep learning, NLP, gradient boosting, LLM experimentations) to solve complex clinical and business problems within the risk adjustment domain., • Leverage modern ML Ops platforms (e.g., Vertex AI) and data science best practices to efficiently train, test, deploy, and maintain production-level models., • Build and maintain the supporting data systems, analytics, and monitoring infrastructure required for complex, production-level AI/ML systems., • Research, develop, and evaluate new AI applications using cutting-edge techniques, including LLM models and agentic frameworks, to solve critical business challenges in risk adjustment., • Work closely with business stakeholders, engineering teams, and product managers to gain a deep understanding of business operations and technical systems., • Build strong partnerships to foster close, effective integrations between data science, engineering, product, and business units., • 4+ years of industry or other quantitative technical fields (which may include academia)., • 3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data, • Advanced degree in a quantitative or technical field At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team () to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Job Description Nammo Defense Systems, Inc., a defense contractor, is the primary USA operation of the Nammo Group (Nammo AS). Nammo Defense Systems Inc. (NDS) develops, manufactures, and supports Shoulder Launched Munitions (SLMs), energetic material solutions such as aircraft emergency escape systems, actuation devices, rocket motors, warheads, and composite solutions including carbon fiber tubes and composite aerospace structures. JOB OVERVIEW: The Scientist within the Research Department team will serve as a subject matter expert for various production composite propellants and liners. The individual will conduct and supervise projects involving formulating, raw ingredient testing, lab scale mixing, batch size scale up, propellant property testing, and data reduction/analysis. The position will report to and take direction from the Propellant, Explosives and Pyrotechnic Supervisor but will also work closely with the cross-functional program teams to support production programs. How you will be rewarded as our Scientist: • Competitive compensation, • Monday-Thursday work week working four 10-hour days (off on Fridays), • Generous paid time off and Holiday Pay, • Medical, Dental and Vision Insurance, • 401(K), employee assistance programs, health savings account KEY RESPONSIBILITIES: • Apply chemical principles to safely analyze and conduct experiments on propellants, pyrotechnics, and/or explosives to meet program requirements or to make production improvements., • Develop and/or modify formulas, processes, procedures, and techniques to manufacture propellant., • Develop methods and analyzes and to create tests compositions to understand and modify chemical, physical, mechanical, ballistic, and hazard properties., • Establish optimal trade-off of propellant properties by modifying composition to achieve objectives., • Serve as a principal investigator to resolve propellant production issues., • Follow standard laboratory practices and safety procedures., • Coordinate and schedule support work for other departments., • Make oral presentations outlining/summarizing progress on selected projects and programs to both internal and external customers., • Prepare technical reports detailing work progression and results., • Provide labor, equipment, and material estimates for laboratory work required to support production projects., • Assign/delegate work to technicians and junior chemists., • Provide training to technicians to perform chemical weigh out, small scale propellant mixing, laboratory testing, mechanical property testing, and burn rate testing., • Review results of experiments and analyses performed by other scientists or technicians., • Perform Statistical Process Control charting and predictive modelling to identify propellant performance and/or property trends., • Follow standard practices and safety procedures., • Strictly adhere to all safety policies and procedures to ensure a safe working environment. LEVEL OF DECISION MAKING This position requires daily autonomous decision-making capabilities when working with both internal and external customers. SKILLS & QUALIFICATIONS: Required: • Proficient with Microsoft Office, Word, Excel, and Power Point., • Experience with various lab instruments for analysis and testing of energetic materials., • Working knowledge of energetic material regulations and safe handling/measurement., • Ability to work effectively and communicate well with the cross-functional NDS Mesa Team., • Must have a strong work ethic and be well organized to manage multiple projects simultaneously., • Must be able to wear safety equipment such as respirators or self-contained breathing apparatus., • Must be able to exert up to 50 lbs. of force in the course of normal work., • Must have the ability to obtain and maintain ATF Processor license. COMPETENCIES: • Excellent communication and collaboration skills., • Strong attention to detail, • Strong problem-solving and critical-thinking abilities., • Ability to work in fast-paced environments., • Leadership or teamwork abilities. WORKING CONDITIONS: • Full-time on-site position., • This position may require travel on an as-needed basis, • This position may require working in diverse settings and conditions. Note: Due to US Export Control laws and regulations; applicants selected for employment must show proof of a U.S. Person status before employment may begin.

Job Description Hi, we're Oscar. We're hiring a Data Scientist I to join our Data team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves - one that behaves like a doctor in the family. About the role: Oscar's Data team is focused on pushing our understanding of this complex landscape of health care and insurance business. Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience in our product. We're hiring several Data Scientists to support data science initiatives across multiple teams. In this role, you'll contribute to the development and maintenance of data pipelines, analytical models, and validation processes that power business decision-making. This position is well-suited for early-career data scientists who have strong technical foundations and are excited to grow their skills while working on real-world data problems in a collaborative environment. You will report into a leader on the Data team (Senior Data Scientist and above). This posting is representative of multiple roles, and final team placement will be determined during the interview process. Work Location: This position is a hybrid role based in our New York City office, Los Angeles Office, or Tempe Office requiring a hybrid work schedule with 3 days of in-office work per week Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $119,200- $156,450 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities: • Build, maintain, and support data pipelines to ensure reliable, accurate, and timely data delivery., • Assist with the testing, validation, and refinement of statistical or analytical models., • Perform advanced analytical work and validation checks on datasets and model outputs., • Identify data quality issues, anomalies, or inconsistencies and help implement corrective solutions., • Collaborate with data leaders and cross-functional business partners to understand data needs and improve processes., • Partner closely with business, engineering, product and data stakeholders to deliver impactful solutions., • Write clear, maintainable analytical code and documentation., • Bachelor's degree in a technical or quantitative field or 1+ year of relevant professional experience, • 1+ years of experience working with SQL or intermediate Python (for example, working with multiple data sources), • Master's degree in a technical or quantitative field, • Experience in healthcare, health insurance, or other regulated industries At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team () to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Job Description Hi, we're Oscar. We're hiring a Data Scientist II to join our Data team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves - one that behaves like a doctor in the family. About the role: Oscar's data team is focused on pushing our understanding of this complex landscape of health care and insurance business. Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience in our product. As a Data Scientist II you will drive data science projects across multiple teams and domains. In this role, you'll take ownership of analytical and modeling work, contribute to technical direction, and partner closely with business, engineering, product and data stakeholders to deliver impactful solutions. This is a mid-level role for data scientists who can operate independently, manage ambiguity, and apply advanced analytics or modeling techniques with minimal oversight. You will report into a leader on the Data team (Senior Data Scientist and above). This posting is representative of multiple roles, and final team placement will be determined during the interview process. Work Location: This position is a hybrid role based in our New York City office, Los Angeles Office, or Tempe Office requiring a hybrid work schedule with 3 days of in-office work per week Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $131,200 - $172,200 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities: • Research, develop, and maintain data pipelines, statistical models, and advanced analytical solutions, • Own projects end-to-end, including problem definition, implementation, validation, and iteration, • Deliver high-quality analytical and modeling outputs with limited manager oversight, • Collaborate closely with data science peers and cross-functional partners across business units, • Help ensure data science processes and outputs align with broader team strategies and roadmaps, • Provide guidance or informal mentorship to junior data scientists or analysts when needed, • 3+ years of experience in data science, applied analytics, or a related quantitative field (industry, academia, or both), • 2+ years of experience using SQL and Python and/or R to query, analyze, and manipulate data, • Master's degree in a quantitative or technical field, • Knowledge of or previous work experience in health care or health insurance, • Experience mentoring or supporting junior team members At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team () to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Job Description Hi, we're Oscar. We're hiring a Senior Data Scientist to join our Engineering team. Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role Oscar is in a unique position to drive impact through high engagement with members and a variety of high-tech touchpoints (such as virtual care or superagent).The Senior Data Scientist develops personalized multi-channel marketing campaigns to influence behaviors that Oscar members take that are key to their health. You will ideate, scope business cases, design targeted pipelines by using predictive models, launch campaigns, monitor and optimize campaigns in real time to attribute best performing marketing variants, and measure campaigns. This will involve research, pipeline/ML model development, optimization techniques such (e.g. MAB), and measurement techniques (traditional statistical and casual machine learning). You work cross functionally with marketing and clinical teams, dedicated to a specific goal of lowering medical cost. You will have accountability for the success of each campaign. You will report to the Senior Director, Data Science. Work Location: This position is a hybrid role based in our New York City office, Los Angeles Office, or Tempe Office requiring a hybrid work schedule with 3 days of in-office work per week OR remote, if you're located in Boston or the San Francisco Bay Area. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $158.400 - $207,900 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities • Works with team and manager to impact longer term strategies and roadmap, • Sets shorter term roadmap for team, • Interacts and collaborates closely with data and business counterparts across functional areas, • Researches, develops, and maintains data pipelines, statistical/ML models, and/or advanced analyses, • Compliance with all applicable laws and regulations, • Other duties as assignedQualifications, • 4+ years of industry or other quantitative technical fields (which may include academia)., • 3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data, • 3+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processingBonus points, • Advanced degree in a quantitative or technical field This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team () to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

System design for ML pipelines (data ingestion ? feature engineering ? model ? scoring). Experience with large-scale data processing. Coding experience with Databricks, specifically building pipelines, querying and processing tables, distributed computing, etc.

A leading financial data services company seeks a Senior Data Scientist in Scottsdale, AZ, or other locations. The position requires substantial experience in data analytics, machine learning, and effective communication.

A leading financial technology firm in the United States seeks an experienced professional for a senior technical role in Data Sciences.

Advanced experience in data mining, data manipulation and data step programming required using PySpark, Scala and Hive. Manage a team of data scientists, if needed. Typically 12 years data analytics experience with a Masters degree in a data rich environment (or equivalent education and experience).