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Job DescriptionManager, Clinical Data Science & Data Products (Applied AI) Location: U.S. Remote (with optional hybrid in a major metro) Type: Full-time Level: Mid–Senior (people manager / player-coach) Beacon Talent is conducting a confidential search for a venture-backed company building an applied AI + data platform used in regulated healthcare environments. The company helps technical teams access, standardize, and validate complex clinical datasets so they can develop and evaluate AI responsibly. The Role You will lead a small team responsible for turning raw clinical data into analysis- and model-ready datasets that are reliable, well-documented, and usable by both internal teams and external partners. This role blends people leadership, hands-on technical work, and program ownership across multiple concurrent data initiatives. What You’ll Do Lead delivery of clinical data products * Own dataset buildouts end-to-end: intake → profiling → transformation → validation → packaging → release. * Translate ambiguous requests into clear scopes, success criteria, milestones, and delivery plans. Manage and grow a high-performing team * Coach, develop, and support a team of data scientists/analysts; set expectations and maintain quality bars. * Hire and onboard as the team scales; establish repeatable workflows (reviews, documentation standards, runbooks). Build scalable, harmonized data foundations * Design and maintain curated clinical data layers that support repeatable analytics and ML workflows (not one-off extracts). * Partner with Engineering to productionize pipelines and implement safeguards around quality, lineage, and access controls. Work across diverse healthcare sources * Investigate and operationalize new sources as they come online (e.g., EHR extracts, claims-like feeds, clinical text, imaging metadata, device/monitoring outputs). * Ensure data integrity through profiling, anomaly detection, reconciliation, and rigorous QA. Be a technical partner to customer-facing teams * Support stakeholder communication on delivery status, limitations, and data interpretation in a clear, accessible way. * Contribute to playbooks and reusable artifacts that make delivery faster over time. What Success Looks Like * Datasets ship on time with predictable quality, strong documentation, and minimal rework. * Your team runs a consistent process for intake, transformation, validation, and release. * Internal stakeholders trust the data layers as “source of truth” for downstream analysis and product development. Qualifications Required * Experience leading teams (formal or informal), with strong project management instincts in technical environments. * Deep hands-on experience with healthcare data (EHR, claims, registries, clinical research datasets, etc.). * Strong proficiency in SQL and at least one analytics language (typically Python). * Demonstrated ability to communicate both detailed technical tradeoffs and executive-level summaries. * Strong writing/documentation skills and a quality-first mindset in regulated data contexts. Nice to have * Familiarity with common health data standards/terminologies (e.g., FHIR/HL7 concepts, ICD/CPT/LOINC/SNOMED-style vocabularies). * Experience with modern transformation tooling (e.g., dbt-like workflows), version control, and cloud data stacks. * Exposure to clinical NLP, imaging (DICOM ecosystems), or common data models (e.g., OMOP-style structures). * Startup/early-stage experience where priorities shift and you build process as you go. Working Style & Logistics * Fast-paced, iterative environment; emphasis on learning, experimentation, and continuous improvement. * Occasional in-person team gatherings (typically quarterly). Compensation Competitive base + equity + benefits (details shared during the process).

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 DescriptionContractRemoteRole DescriptionAs a remote, hourly paid R Engineer, you will review AI-generated responses and generate high-quality R and data-analysis-focused content, evaluating the reasoning quality and step-by-step problem-solving behind each solution. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in statistical methodology or data-wrangling workflows; fact-check analytical results; write expert-level explanations and model solutions that demonstrate correct use of R; and rate and compare multiple AI responses based on correctness and reasoning quality. This contract role is with, a fast-growing AI Data Services company and subsidiary of that provides AI training data for many of the worlds largest AI companies and foundation model labs, directly helping to improve the worlds premier AI models.Your Profile • 2+ years of hands-on experience using R for data analysis, statistics, or data science work., • Strong proficiency in R programming, including data wrangling, functional programming patterns, and writing reusable functions or packages., • Solid grounding in applied statistics, including regression, inference, and model validation, with practical experience implementing these methods in R., • Experience building end-to-end analyses in R that include data cleaning, exploratory analysis, modeling, and visualization., • Familiarity with common R ecosystems such as tidyverse, data.table, and ggplot2, and the ability to choose appropriate tools for a given task., • Professional experience in a data-focused role such as data scientist, statistician, quantitative analyst, or similar., • Minimum Bachelors degree in Statistics, Mathematics, Computer Science, or a closely related quantitative field., • Significant experience using large language models (LLMs) to assist with coding, analysis design, and code review in R., • Excellent English writing skills with the ability to document analyses and explain complex statistical ideas clearly to non-experts., • Previous experience with AI data training or model evaluation is strongly preferred, and Minimum C1 English proficiency is required.Key Responsibilities, • Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects., • Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance., • Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.

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.

Primary City/State: Phoenix, Arizona Department Name: Commericial Admin-Ref Lab Work Shift: Day Job Category: Lab Join Sonora Quest Laboratories and play a critical part in shaping digital solutions that enhance laboratory operations, improve clinical workflows, and support high-quality patient care across the organization. The Director Operations Strategy partners closely with laboratory leadership, IT teams, and operational stakeholders to identify opportunities for innovation and translate them into scalable, high-impact product enhancements. This role requires a strong ability to balance strategic thinking with hands-on execution, ensuring that product decisions are grounded in data, user insights, and organizational priorities. The individual in this role will champion continuous improvement, foster alignment across diverse teams, and ensure that product initiatives are delivered with excellence and measurable value. By driving the evolution of key laboratory informatics products, this position directly contributes to Sonora Quest's mission of delivering reliable, efficient, and patient-centered diagnostic service! Your pay and benefits are important components of your journey at Sonora Quest Laboratories/Laboratory Sciences of Arizona. This opportunity includes the option to participate in a variety of health, financial, and security benefits. In addition, this position may be eligible for our Management or Sales Incentive Programs as part of your Total Rewards package. Leader with background in Process Engineering, Project Management, or Lean/Six Sigma, responsible for seeking out potential system improvements, determining and evaluating new processes, implementing new processes, and tracking and analyzing data to improve operational performance. Owns and leads major system-wide projects designed to improve standardization, create efficiencies, establish best practices, and support innovation. Reports to the COO of the respective area and must work collaboratively with others within LSA/SQL, Banner Health, and Quest Diagnostics, among others. Performs all functions according to established policies, procedures, regulatory and accreditation requirements, as well as applicable professional standards. KNOWLEDGE, SKILLS AND ABILITIES • Use of personal influence to garner support across all customers, • Understanding of organization and operational workflows, • Understanding of laboratory regulatory practices, • Bachelor's Degree in business, health care administration or related field., • Four (4) years' experience as a department supervisor or manager or the equivalent., • Demonstrated understanding and knowledge of commonly used concepts, practices, and procedures of different software programs., • Demonstrated advanced oral/written communication, analytical, and strategic skills., • Demonstrated ability to prioritize and perform multiple tasks simultaneously., • Master's Degree in Management Engineer, MBA, MPH or related field, • Degree in Engineering, Business or Healthcare related field, • Black Belt/Green Belt/LEAN Certification., • Certification as a Medical Laboratory Scientist under ASCP, NCA, or equivalent as defined under CLIA '88 regulations.

We are looking for a results-driven Senior Data Scientist with extensive experience leveraging large-scale data to solve complex business problems across multiple domains. Mentored and guided junior data scientists, promoting analytical best practices. Strong analytical background enables rigorous e

What roles can career switchers target? SynergisticIT typically supports candidates targeting roles like entry-level software programmer, Java full stack developer, Python/Java developer, DevOps engineer, data analyst, BI analyst, data engineer, data scientist, and machine learning/AI engineer—bas

We are seeking a Senior Applied Data Scientist – Applied Machine Learning to design, build, and deploy machine learning solutions that power data-driven products and decision-making. You will collaborate with engineering, product, and domain teams to identify opportunities for machine learning and

Job DescriptionBenefits: • 401(k), • Bonus based on performance, • Competitive salary, • Dental insurance, • Flexible schedule, • Health insurance, • Paid time off, • Parental leave, • Profit sharing This role will be responsible for providing technical and business skills and contribute to advanced solutions in the environmental, chemical, commercial, manufacturing, government, energy, financial, insurance, and/or legal sectors. This job is 100% remote. The candidate should have experience managing consulting assignments, must work effectively in multi-disciplinary teams, is expected to be proficient in the analysis and communication of information, and must be able to work cooperatively with agencies, organizations, and individuals to guide decision-making. The successful candidate is also expected to be proficient in all facets of project management. He/she must demonstrate collaboration with colleagues throughout the organization. Key Responsibilities include but are not limited to: Client Management & Communication: • Serve as the primary point of contact for clients and stakeholders, providing regular updates on project status and outcomes., • Collaborate with project teams, including environmental engineers, geologists, and technicians., • Communicate complex technical information to clients and stakeholders in a clear and concise manner.Regulatory Compliance & Reporting:, • Interact and coordinate with regulatory agencies to obtain necessary approvals, permits, and closure documentation., • Prepare and submit comprehensive reports, including site investigation reports, risk assessment reports, remedial action plans, progress reports, and closure reports., • Be current and continue to be current on environmental regulations and guidelines.Remediation Planning/Implementation:, • Develop and implement effective remediation plans based on the findings of site investigations and risk assessments., • Design and oversee the implementation of remediation strategies, which may include excavation, soil vapor extraction, groundwater treatment, in-situ bioremediation, or other appropriate methods., • Ensure compliance with all applicable regulations, guidelines, and permits during the remediation process.Site Assessments:, • Manage/conduct comprehensive site investigations to identify potential sources of contamination, evaluate risks, and develop appropriate remediation strategies., • Collect soil, groundwater, and other environmental samples and analyze them in accordance with standard protocols and regulations., • Perform data interpretation, risk assessment, andmodeling to determine the extent and nature of contamination and its potential impact on human health and the environment.Quality Control:, • Implement quality control and assurance measures to ensure accurate and reliable data collection, analysis, and reporting., • Conduct periodic audits and reviews of project activities to verify compliance with project plans and regulations., • Identify and address any deviations or discrepancies in project execution promptly.The Ideal Candidate should have:, • Current PE or PG license, • Bachelors Degree in environmental science, geology, engineering, or a related field., • 10+ years experience conducting site investigations remediation and third party evaluations, • Solid understanding of environmental regulations, guidelines, and best practices related to contaminated site cleanup., • Excellent project management skills, including the ability to prioritize tasks, meet deadlines, and manage multiple projects simultaneously., • Strong communication and interpersonal skills, with the ability to collaborate effectively with clients, regulatory agencies, and project teams., • Attention to detail, critical thinking, and problem-solving abilities., • Knowledge of environmental sampling techniques and laboratory analysis methods.Founded in 1986, HETI is a full-service, nationwide environmental services company specializing in environmental and indoor air quality site assessment, site remediation, risk characterization, occupational health and safety services, and litigation/expert witness support. Through our network of offices throughout the U.S., we serve a variety of large and small businesses. We are an Equal Opportunity Employer and offer a competitive benefit package including base salary plus bonus opportunities and a friendly, flexible work environment. Flexible work from home options available.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: The Behaviors team at Waabi develops cutting-edge simulation agents and scenario generation algorithms for Waabi World, our simulation platform. As a Research Scientist on the Behaviors team, you will work closely with our multidisciplinary team of research scientists and engineers to invent the next generation of models and algorithms that power Waabi World. Your work will define the scenarios that push our self-driving system to its limits, generate the training signal that makes them better, and form a core pillar of our scientific safety case to put them on the road. You will... * Own and pursue a research agenda to develop realistic and controllable simulation agents. * Advance the state-of-the-art in imitation learning, reinforcement learning, generative models, foundation models, planning and search, and other related areas for simulation agents. * Collaborate with our simulation, autonomy, and safety teams to define high-impact research problems, ship solutions into production, and drive progress towards Waabi’s milestones. * Mentor junior scientists and interns; foster a culture of scientific rigor and rapid experimentation. * Publish high-impact research at top-tier conferences in machine learning or robotics. Qualifications: * Masters/PhD in machine learning, computer science, engineering, or a related field. * Strong background in imitation learning and/or reinforcement learning. * Publications in top-tier conferences or journals related to machine learning or robotics. * Proficiency with modern ML frameworks such as PyTorch, TensorFlow, or Jax. Bonus: * Experience in self-driving, traffic simulation, or a related field. * Proven ability to take research from prototype to production systems. * Strong software engineering skills, including experience with large-scale training or simulation. The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: The Motion Planning team delivers the core module within the autonomy stack that makes decisions and generates trajectories for our self-driving trucks. As a research scientist working on Learnable Planner, you will invent new AI technologies that support scalable planning solutions enabling our launch of fully driverless autonomous trucks. You will contribute towards Waabi's vision of a single AI system that learns end-to-end and in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World. You will...- Design and execute on a research agenda for deep-learning based motion planning for self-driving.- Leverage and advance the state-of-the-art in robotics and machine learning to enable safe self-driving at scale, with advanced techniques in imitation and reinforcement learning, planning and search, perception and prediction, simulation, foundation models and more.- Support deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into production systems.- Stay up-to-date and advance beyond the state-of-the-art in artificial intelligence, machine learning, computer vision, and self-driving technologies.- Champion engineering excellence, ensuring high-quality, well structured and tested code.- Submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.) and post to our company blog. Qualifications:- MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor’s students will also be considered.- Experience in planning/decision making approaches (e.g., imitation learning, reinforcement learning, optimal control, optimization based approaches, search methods, probabilistic decision making).- Demonstrated research experience through previous internships, work experience, research projects, and papers at top conferences.- Strong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.- Proficient in reading and coding in Python.- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. Bonus/nice to have:- Previous experience in self-driving technology. - Experience deploying ML/DL models to a production motion planning or related robotics stack.- Proficiency in Pytorch, Rust, C++ and/or CUDA.The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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 Join UCT and be part of the fastest-growing sector in the world! We indirectly touch every semiconductor chip that goes into every smartphone, smart car and device that uses artificial intelligence. This is a critical time for the semiconductor industry and for UCT - as technology evolves, we evolve with it. UCT is a diverse workplace where every talented employee is committed to continuous innovation, challenging the status quo and exceeding customer expectations. If you are a person with a relentless drive to succeed, a strong focus on quality with a passion for success – join us today! UCT is looking for a talented Analyst IV, IT D&A to join us! Job Summary: • The Data Scientist will serve as a key contributor to the company’s data and analytics strategy, partnering with manufacturing, supply chain, quality, and IT stakeholders to deliver advanced analytics, generative AI, and machine learning solutions. This role focuses on applying statistical modeling, classifier models, and predictive analytics to improve supply chain efficiency, back office, and operational performance., • Develop, validate, and deploy machine learning and statistical models to support manufacturing and supply chain use cases such as supplier lead time prediction, inventory segmentation and safety stock optimization, demand forecasting, and predictive cash flow modeling., • Design and implement classifier models to identify & predict patterns in product, customer, and supplier taxonomies., • ML/Ops: support the full lifecycle of AI Model development & support. Evaluate and monitor model performance, accuracy, and scalability in production environments., • Utilize AI to augment IT operations; advocate for augmentation of IT processes using AI including Generative AI for software development (Github Copilot or similar), as well as Agent development in Copilot studio for knowledge management and automation of IT operational workflows. Qualifications • Education –, • Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field. Master’s degree is a plus., • Experience, • Strong proficiency in Python, Scikit-Learn, Optuna, • Hands-on experience with Databricks, ML/OPS in Databricks, Unity Catalog, • Experience developing classifier models (Random Forest, KNN, Decision Trees), • Strong SQL skills., • Experience with Microsoft Copilot Studio development & agent governance, • Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders., • Strong problem-solving abilities, with a focus on delivering practical, scalable solutions., • Competitive salary and performance-based bonuses. Criteria: Work Environment: • Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions, • Ability to kneel, reach, walk, push, pull and grasp., • Ability to lift up to 50 lbs., • Ability to move arms, hands, and fingers, • Ability to sit for sustained periods., • Required to wear personal protective equipment., • Prolonged sitting with some standing and bending intermittently during work hours., • Required to wear personal protective equipment where applicable., • Subject to frequent interruptions., • The ability to talk on the phone and use a computer for extended periods may be required. UCT offers an excellent benefits package to all full-time employees, which includes medical, dental, vision, 401(k), and paid time off.

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.

Job Description Infomatics is partnered with a large retailer that is hiring a Principal AI Data Scientist on a direct hire/FTE basis near Phoenix, AZ. Can work remote. All applicants must be eligible & willing to be hired on W2. You will lead various AI efforts involving computer vision, deep learning, and nlp in addition to other machine learning model builds. You will not only work on large scale projects to provide value to the customers but are also routinely involved in building our internal R&D capability to have an edge in the analytics industry. You will lead some of the most strategic and very complex problems. Duties/Responsibilities: • Builds and validates machine learning models of high risk/reward problems utilizing large scale data from multiple data sources and methodologies., • Uses machine learning techniques to create data-driven solutions for various business use-cases., • Writes programs utilizing existing libraries and methodologies., • Interprets, communicates, and presents analytic results to C-Level executives and below., • Consistently collaborates with fellow data scientists, data engineers, business partners, project managers, cross-functional teams, key stakeholders, and other domains to drive business value., • Leads AI best practice sharing opportunities and knowledge of industry trends and innovations in data science., • Leads projects with external partners and vendors to develop solutions to meet business needs while resolving any issues that may arise., • Contributes to the organization's data strategy and roadmap., • Embeds and drives the organization with the most up-to-date AI methodology. Qualifications:, • Master's or PhD degree in a quantitative field with 5+ years of data science experience., • Applied expertise in artificial intelligence with experience applying natural language processing, computer vision (image processing), and deep leaning. Need to have the capability to leverage current mature mainstream AI application tools and methodology, • Proficiency in machine learning with familiarity and actual applications of scikit-learn library machine learning techniques such as decision tree, gradient boosting, XGBoost, etc. for regression, classification, or segmentation problems., • Programming expertise in Python with familiarity with cloud environments (AWS, Databricks, etc.), • Ability to work with large data sets from multiple data sources, • Ability to communicate complex analytics concepts and techniques to C-Level executives and below, • Ability to work collaboratively with other data scientists, data engineers, multiple stakeholders across the business, and with external partners, • Intellectual curiosity, a passion for data, and a results orientation.

Job Description Role Overview Leading AI lab to engage independentData Science Expertsfor diverse research and development initiatives. These contractors will support data‑driven model improvement, performance evaluation, and applied experimentation. Key Responsibilities * Analyze large datasets to extract insights that inform model design and refinement. * Develop and apply statistical models, machine learning techniques, and evaluation frameworks. * Conduct performance assessments and data quality reviews on AI model outputs. * Build reusable tools for data processing, visualization, and reporting. * Partner with research teams to test hypotheses and scale experimental workflows. Ideal Qualifications * 3+ years of experience in data science, machine learning, or a related analytical field. * Proficiency in Python and key data science libraries (e.g., pandas, NumPy, scikit-learn). * Familiarity with large-scale data environments and version-controlled workflows. * Strong command of statistical analysis, experimental design, and model validation. * Clear written communication and comfort collaborating across technical teams. More About the Opportunity * Expected commitment: 10+ hours/week. * Exposure to high-impact AI research and applied experimentation. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request. Contract and Payment Terms • You will be engaged as an independent contractor., • This is a fully remote role that can be completed on your own schedule., • Projects can be extended, shortened, or concluded early depending on needs and performance.

Job Description Engagement Type: Independent Contractor Work Mode: Fully Remote Hours: 3040 hours/week or Full-Time (Flexible) About the Role We are partnering with a leading AI research lab to hire a highly skilled Data Scientist with a Kaggle Grandmaster profile. In this role, you will transform complex datasets into actionable insights, high-performing models, and scalable analytical workflows. You will collaborate closely with researchers and engineers to design rigorous experiments, build advanced statistical and machine learning models, and develop data-driven frameworks that support product and research decisions. Key Responsibilities * Analyze large, complex datasets to uncover patterns and generate actionable insights * Build predictive models and ML pipelines across: * Tabular data * Time-series data * NLP * Multimodal datasets * Design and implement validation strategies, experimental frameworks, and analytical methodologies * Develop automated data workflows, feature pipelines, and reproducible research environments * Conduct exploratory data analysis (EDA), hypothesis testing, and model-driven investigations * Translate analytical results into clear recommendations for engineering, product, and leadership teams * Collaborate with ML engineers to productionize models and ensure reliable data workflows at scale * Present findings via dashboards, structured reports, and documentation Required Qualifications * Kaggle Competitions Grandmaster or comparable achievement (top-tier rankings, multiple medals, or exceptional competition performance) * 35+ years of experience in data science or applied analytics * Strong proficiency in Python and data tools (Pandas, NumPy, Polars, scikit-learn, etc.) * Experience building ML models end-to-end (feature engineering, training, evaluation, deployment) * Strong understanding of statistical methods, experiment design, and causal/quasi-experimental analysis * Familiarity with modern data stacks (SQL, distributed datasets, dashboards, experiment tracking tools) * Excellent communication skills and ability to present analytical insights clearly Nice to Have * Contributions across multiple Kaggle tracks (Notebooks, Datasets, Discussions, Code) * Experience in AI labs, fintech, product analytics, or ML-driven organizations * Knowledge of LLMs, embeddings, and modern ML techniques for text, image, and multimodal data * Experience with big data ecosystems (Spark, Ray, Snowflake, BigQuery, etc.) * Familiarity with Bayesian methods or probabilistic programming frameworks Why Join * Work on cutting-edge AI research workflows * Collaborate with world-class data scientists and ML engineers * Solve high-impact, real-world data science challenges * Experiment with advanced modeling strategies and competition-grade validation techniques * Flexible engagement options ideal for Kaggle-level problem solvers

Join our dynamic Patient Safety team as a Senior Physician where you'll leverage your medical expertise to ensure the safety of patients in clinical trials and post-marketing settings. In this pivotal role, you'll perform comprehensive medical reviews, provide expert safety monitoring, and deliver pharmacovigilance guidance across assigned projects. You'll also mentor junior team members while tackling complex safety evaluations that directly impact patient wellbeing and regulatory compliance. About the Role As a Senior Physician in Patient Safety , you'll serve as the medical authority on safety profiles for assigned products, ensuring compliance with global regulations while providing critical medical insights. You'll collaborate with cross-functional teams, interact with clients, and contribute to the continuous improvement of our pharmacovigilance processes. Key Accountabilities: General * Maintaining a good working knowledge of the Adverse event/Safety profile of assigned products, labeling documents, data handling conventions, client's guidelines and procedures, and global drug safety regulations and guidelines * Maintaining an awareness of global regulatory requirements, reporting obligations and organizing workload to ensure compliance with internal and regulatory timelines for adverse event reporting * Communicating and discussing issues related to review process with Line Manager/ Project Leader/Designee * Interacting with internal and external stakeholders for resolving issues * Attending and/ or presenting at client/cross functional meetings along with other stakeholders. Working as Subject Matter Experts (SMEs) * Assisting the Project Lead/Functional Lead for audits and inspections * Provides inputs for process improvements * Works closely with Project Lead/Functional Lead for process co-ordination and to ensure meeting all Key Performance Indicators (KPIs) for the process * Function as pharmacovigilance representative/safety scientist * Attend/support Bid defense meetings * Actively mentoring Patient Safety Physicians to develop their skills and expertise Case report medical review (as applicable) * Performing medical review of cases not limited to (including complex and challenging cases requiring expert judgement)), clinical trial, and literature cases including combination products {drug-device}) according to client/Parexel Standard Operating Procedures (SOPs; as applicable) and liaising with the client, as require * Writing Pharmacovigilance/Marketing Authorization Holder (MAH) comment and assessing company causality * Review appropriateness of medical content in narrative for medical coherence * Assessing seriousness, listedness / expectedness of reported events. * Providing medical inputs to case processing team * Raising appropriate follow-up queries for relevant information from the reporter/HCP (Health Care Professional) * Review and verify appropriate selection of adverse events from source documents, assign appropriate Medical Dictionary for Regulatory Activities (MedDRA) code, review narrative * Identify and resolve case issues, coordinate with client therapeutic/legal team * Provide guidance to junior physicians on case assessment methodologies Periodic reports (as applicable) * Reviewing and/ or authoring of aggregate reports for medical content and consistency in accordance with client requirements and SOPs * Providing medical inputs into, and supporting the preparation of key regulatory documents including but not limited to, Periodic Benefit-Risk Evaluation Reports (PBRERs)/ Periodic Safety Update Reports (PSURs), Signal Evaluation Reports (SERs), Health Authority (HA) response documents, Development Safety Update Reports (DSURs), Clinical Overviews (COs), Addendum to Clinical Overview (ACOs), Health Hazard Evaluation reports (HHEs), etc. * Clinical Expert Statements and other documents as required * Review reports assessed by junior team members for accuracy and completeness Medical monitoring (as applicable) * Answering day to day medical and scientific questions, provide daily medical support to Parexel staff or site (investigator/study coordinator), as needed * Review and sign off adverse events report for accuracy and clinical importance, relationship to the study drug as well as for severity and seriousness; provide sponsors with periodic experience reports summarizing adverse events as required by the sponsor or authorities * Attend and present material (such as therapeutic area training), as requested, at internal and external meetings (such as investigator meetings) * Provide medical safety expertise to client per request * Review and sign off Data Management line listings (including adverse events, laboratory data, vital signs data, medical history, physical examination, concomitant medication, efficacy end points), establish the presence or absence of clinically meaningful trends and, if noted, follow up as appropriate with the project team, sponsor, investigator, and Regulatory Authorities * Review and sign off technical documents written by Parexel with respect to medically relevant matters with particular attention to those relating to patient safety * Review coding of adverse events, medical history and concomitant medications for accuracy and consistency * Review of patient profile report as needed * Provide support for the preparation of clinical protocols, integrated clinical and statistical summary reports, journal articles, and other documents for clients/sponsors in conjunction with clients/sponsors or in conjunction with other Parexel departments * Attend and present material as requested, at internal and external meetings (e.g., investigator meetings, therapeutic area training, Regulatory Authority meetings) Literature review (as applicable) * Review of literature for product safety assessment and potential safety issues * Expert in reviewing literature references including triaging, summarizing and providing MAH comments for aggregate reports and for various signal management activities CSR Narratives (as applicable) Provide medical guidance to safety staff during the case processing cycle * Provide input as necessary to Feasibility Studies, Data Monitoring Committees (DMCs), Clinical Endpoint Committees (CECs) * Provide medical input into Pharmacovigilance workflows and projects as required * On an as-needed basis, provide support in mentoring or training of new hired physicians Signal Detection and Management (as applicable) * Perform signal detection activities in accordance with client conventions/SOPs and within pre-decided timeframes. Perform medical assessment of safety alerts obtained from data mining activities * Perform signal validation activities * Author/review SERs. Perform case analysis, review literature summaries, check draft for medical and scientific accuracy and cohesiveness * Author/review responses to HA requests and other safety documents * Providing oversight and relevant inputs to Medical Writers (MWs) authoring SERs, Signal validations etc. * Managing safety signals on project specific tools (e.g., Signal Tracking System, Signal management tools, etc.) * Contribution to Safety Management Team (SMT) meetings: Data analysis/ review, content creation, presentation/ facilitation, drafting of meeting minutes * Training and mentoring junior team members on signal detection methodologies Brand safety Physicians (as applicable) * Contribute to Pharmacovigilance and Risk Management planning for designated products by preparation of safety surveillance strategy, and highlighting and tracking potential issues * Support the preparation and maintenance of Risk Management Plans * Prepare and review periodic safety reports (PBRER/PSUR, DSUR, European union renewal, HHE and other Annual Safety/addendum reports) in accordance with regulatory requirements and SOPs * Support the preparation and maintenance of safety sections of the Company Core Data Sheet, local labels and Development Core Safety Information (DSCI) * Coordinate safety activities between Drug Safety Unit/team and internal and external partners * Conduct/support signal detection and evaluation according to SOPs and guidelines * Prepare safety assessments, SERs, as necessary, for potential signals or issues (product quality) * Perform review and summarization of literature citations including epidemiology background research * Provide safety content review of clinical protocols, study reports, Investigators Brochures, and other related documents * Contribute to regulatory agency submissions (Investigational new drug applications, new drug applications, Marketing authorization applications, Variations and Renewals) by reviewing safety data and preparing relevant sections of the filing documents and submission packages * Participate in or provide input for Drug Safety Monitoring Boards or independent monitoring committee meetings, as applicable Therapeutic Area Expert (as applicable) * Serve as a subject matter expert within the designated Therapeutic Area, providing specialized knowledge to support drug safety initiatives and decision-making processes * Collaborate with the TA Lead to implement strategic plans and enhance the overall expertise within the Therapeutic Area * Contribute to the development and delivery of targeted training programs, elevating the knowledge base of fellow physicians and cross-functional teams * Actively participate in internal and external scientific forums, representing Parexel's medical expertise through presentations, publications, and thought leadership activities * Apply deep therapeutic knowledge to optimize pharmacovigilance processes, ensuring best practices are followed and continuously improved * Mentor junior physicians within the TA, fostering their professional growth and encouraging their contributions to the field * Support the TA Lead in identifying emerging trends and potential opportunities for innovation within the Therapeutic Area * Engage in cross-functional projects, offering expert guidance to enhance the quality and efficiency of drug safety assessments Skills: * Experience in clinical medicine (general or specialist qualifications) which is expected to be kept up to date * Demonstrated success in technical proficiency and scientific creativity * Ability to work on complex tasks requiring in-depth evaluation * Good knowledge of drug safety and the drug development process * Ability to exercise judgment within broadly defined practices and policies * Good presentation and verbal/written communication skills * Good interpersonal skills * Client focused approach to work * Computer proficiency, an ability to work with web-based applications and familiarity with the Windows operating system and Microsoft Office apps * An ability to comprehend various regulatory or client requests and be able to strategize a handling approach * Experience mentoring junior team members * A flexible attitude with respect to work assignments and new learnings * An ability to manage multiple and varied tasks with enthusiasm and prioritize workload with attention to detail * An ability to assess the clinical relevance of medical data and to interpret its clinical meaning is essential * A willingness to work in a matrix environment and to value the importance of teamwork * Strong knowledge of international drug regulation including ICH GCP, GVP, and all other applicable regulations and guidelines Knowledge and Experience : * US Board Certification/board eligibility or regional equivalent for Canada * 3 - 5 years previous experience in pharmacovigilance and/or medical monitoring is required. * Previous CRO experience is highly desirable, but individuals with relevant experience as a Patient Safety/Drug Safety Physician within Industry will also be considered. * Good knowledge/understanding of medical terminology * Relevant experience in pharmacovigilance/ Drug Safety/ Clinical Practice Education: * Bachelor of Medicine, Bachelor of Surgery (MBBS) / Doctor of Medicine (MD)/ Medically qualified from an acknowledged Medical School * Completion of at least basic training in clinical medicine (residency, internship etc.) This role offers the flexibility to work from home in either the US or Canada. #LI-KS1 #LI-REMOTE EEO Disclaimer Parexel is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to legally protected status, which in the US includes race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

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