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Director, Data Platform & Products. Country: United States of America Your Journey Starts Here: Santander is a global leader and innovator in the financial services industry. We believe that our employees are our greatest asset. Our focus is on fostering an enriching journey that empowers you to explore diverse career opportunities while nurturing your personal growth. We are committed to creating an environment where continuous learning and development are prioritized, enabling you to thrive both professionally and personally. Here, you will find ample opportunities to connect and collaborate with talented colleagues from around the world, sharing insights and driving innovation together. Join us at Santander, where you are supported by a culture of engagement and a commitment to your success. An exciting journey awaits, if you are interested in exploring the possibilities We Want to Talk to You! The Difference You Make: The Director, Data Platform & Products, will lead the development of a unified, cloud-native analytics environment that enables high-quality data ingestion, modeling, governance collaboration, and scalable data products serving both Santander Bank and Openbank US. This leader will build the data foundation that powers product performance reporting, CX and journey analytics, personalization, and AI-driven decisioning. The role blends deep data engineering experience with product leadership to deliver a modern platform that accelerates analytics and unlocks self-serve insight generation through agentic AI frameworks. • Lead the design and delivery of a unified enterprise data platform with standardized ingestion, modeling, and semantic layers that support analytics, reporting, personalization, and AI use cases., • Oversee the end-to-end data lifecycle, ensuring timely, reliable, and well-structured data to support product performance dashboards, CX and journey measurement, and customer insights., • Collaborate with CDO and governance teams to embed lineage, data quality, metadata, and semantic standards into platform architecture and operations., • Define and execute the platform roadmap, translating business and product needs into scalable data products and reusable analytical assets., • Ensure new Openbank product launches are enabled with robust data pipelines and analytic foundations., • Build and expand self-serve analytics capabilities, including agentic AI–powered tools that automate insight generation and accelerate decision-making., • Lead and mentor teams across data engineering, platform operations, and data product management; partner closely with cross-functional executives to drive adoption and business impact., • Develops and maintains relationships with senior executives in the business lines., • Builds in-depth knowledge of the business success drivers, industry trends, regulatory issues and competitive marketplace to develop value added business solutions., • Advises on implementation of advanced data analytics models with effective and practical short- and long-term actionable solutions within the businesses., • Grows the data and technical environment by bringing new technologies and techniques to create efficient process around data extraction, aggregation and analytics., • Initiates and manages strategic external partnerships to supplement internal advanced data analytics capabilities, as desired., • Drives pragmatic approaches to solving key complex business problems through data analysis, predictive modeling and machine learning techniques., • Leads verbal and written communications with colleagues and business partners at all levels to clearly articulate the findings of analytical models and assist in driving solutions. What You Bring: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • Bachelor's Degree or equivalent work experience: Statistics, Computer Science, Physical Sciences, Economics, or a equivalent technical field. - Required., • Master's Degree: Statistics, Computer Science, Physical Sciences, Economics, or a equivalent quantitative field. - Required., • Ph.D.: Statistics, Computer Science, Physical Sciences, Economics, or a equivalent quantitative field. - Preferred., • 10+ years of experience in data engineering, ETL/ELT, data warehousing, and cloud-native data architectures. - Required., • Deep expertise with modern cloud data platforms and warehouses (e.g., Snowflake, AWS) and associated ecosystem tools., • Financial services industry experience a plus. - Preferred., • 9+ Years Experience leading and managing a team of data scientists, product or business analysts - Required., • 9+ Years Experience working across functions to communicate the value of the data and analytic team's work - Required., • Strong stakeholder engagement, communication, and influence across technical and executive audiences., • Proven success building enterprise-scale data platforms and leading platform product roadmaps., • Demonstrated experience with building custom statistical models, analyzing unstructured data, and/or machine learning is highly desirable., • Ability to bring the right data technique to solve the problem in an explainable manner to the business., • Consultative nature, with a proven track record of using data to provide actionable business results., • Superior communication and persuasion skills; talent for storytelling, visualization and creating insights from data to deliver practical recommendations for business action., • Experience managing teams of data scientist and analytical professionals., • Experience managing projects, budgets and schedules to successful completion., • Entrepreneurial spirit, persistence, and resilience; comfort with and ability to thrive on and drive change while navigating ambiguity., • Proven relationship building and collaboration skills; ability to influence and drive outcomes in large, matrixed and complex organizations. Certifications: • No Certifications listed for this job. It Would Be Nice For You To Have: • Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education., • Experience in Microsoft Office products. What Else You Need To Know: The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Base Pay Range Minimum: $135,000.00 USD Maximum: $235,000.00 USD Link to Santander Benefits: Santander Benefits - 2025 Santander OnGoing/NH eGuide (foleon.com) Risk Culture: We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management. EEO Statement: At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law. Working Conditions: Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required. Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason. What To Do Next: If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at to discuss your needs. Primary Location: New York, NY, New York Other Locations: New York-New York,Massachusetts-Boston Organization: Santander Bank N.A.

Job DescriptionOXMAN OXMAN is a hybrid Design and R&D company that fuses design, technology, and biology to invent multi-scale products and environments. The fusion of disciplines within our work opens previously impossible opportunities within each domain—allowing design to inspire science and science to inspire design. At OXMAN, we question dominant modes of design that have divorced us from Nature by prioritizing humanity above all else (human-centric design). Although it is design that has caused this rift, we believe that design also offers the greatest opportunity to heal it. We propose a Nature-centric approach that delivers design solutions by, for, and with the natural world, while advancing humanity. In this pursuit, we reject all forms of segregation and instead call for a radical synergy between human-made and Nature-grown environments. This approach demands that we design across scales for systems-level impact. We consider every designed construct a whole system of heterogeneous and complex interrelations—not isolated objects—that are intrinsically connected to their environments. In doing so, we open ourselves up to moving beyond mere maintenance toward the advancement of Nature. Summary OXMAN is seeking a Plant Systems & Field Scientist to join our interdisciplinary team exploring the boundaries of design, ecology, and technology. This role is central to developing ecological intelligence for high-performance environments—natural, built, or hybrid. You will lead scientific research and field data acquisition that feed into the simulation, design, and prototyping of ecologically embedded systems and interventions. This position requires expertise in plant ecology, fieldwork methodologies, and environmental sensing technologies. It will serve as a critical bridge between OXMAN’s ecosystem modeling efforts and real-world ecological conditions.Purpose of the Engagement • Monitor and maintain plants and research forests in the OXMAN laboratory and in the field., • Lead field campaigns collecting high-resolution ecological data using advanced tools including hyperspectral imagery, thermal imaging, and LIDAR., • Design, deploy, and manage distributed sensor networks—both in-ground and aerial—to capture real-time environmental and physiological data, while prototyping novel sensing modalities (e.g., micro-electromechanical sensors, spectral fluorometers, Wi-Fi–based moisture sensors)., • Identify physiological and ecological indicators of plant health and stress to inform ecosystem design and evaluation., • Curate species-level datasets that include plant needs (sunlight, water), growth characteristics, companion dynamics, and other functional traits., • Collaborate across disciplines to translate ecological findings into spatial strategies, simulations, and design solutions.Responsibilities, • Plan and execute fieldwork to acquire spectral, thermal, structural, and soil data from project sites., • Design, deploy, operate and maintain sensor platforms (e.g., UAVs, terrestrial sensors, field spectrometers) for reliable and repeatable data collection., • Work with internal teams to align field data with modeling assumptions and simulation inputs., • Conduct research into plant stress responses, phenological patterns, and biophysical indicators of vitality., • Analyze remote sensing data (e.g., NDVI, thermal indices, point clouds) to characterize vegetation structure and function., • Compile and manage plant trait databases that integrate native species profiles, habitat requirements, and performance data., • Support ecosystem modelers by contributing field-derived metrics for calibration and validation of digital twins or simulation environments., • Participate in case study development by synthesizing field insights into design briefs and ecological strategies., • Work alongside designers, architects, and technologists to translate biological systems into engineered interventions.Qualifications, • MS or PhD in Plant Science, Ecology, Environmental Science, Forestry, or related field., • 3–5+ years of field-based ecological research experience, with a strong foundation in plant systems., • Demonstrated experience collecting and analyzing data from hyperspectral imagery, thermal imaging, LIDAR, or satellite sources., • Proficiency in tools such as QGIS, ENVI, R, Python, or Google Earth Engine., • Strong communication and documentation skills for interdisciplinary collaboration., • Experience developing or managing native plant lists for restoration, conservation, or design projects., • Familiarity with trait-based ecological modeling or agent-based simulations., • Knowledge of ecosystem services indicators (e.g., carbon sequestration, albedo, transpiration, resilience)., • Experience working with soil health data, weather station data, or phenocams.What We’re Looking For, • Deep curiosity for how plant systems shape and respond to environmental design., • Comfort navigating the interface between fieldwork, lab-based research, and computational environments., • Initiative to design and execute research agendas that bridge science and application., • A collaborative mindset, eager to co-create with disciplines ranging from architecture and robotics to materials science.Additional Information, • This is a full-time, permanent position based at OXMAN’s headquarters, with travel required to project field sites., • All deliverables and intellectual property developed remain the property of OXMAN.

Job Description About Cleerly We're Cleerly – a healthcare company that's revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world's leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission. In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location. Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly's solutions are supported by more than a decade of performing some of the world's largest clinical trials to identify important findings beyond symptoms that increase a person's risk of heart attacks. At Cleerly, we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description. While we are mostly a remote company, travel is required for some team meetings and cross function projects typically once per month or once per quarter, for some roles like sales or external facing roles travel could be up to 90% of the time. About the Opportunity We are seeking a highly skilled Machine Learning Scientist to drive the development and translation of cutting-edge ML models that have a direct impact on the care pathway for heart disease diagnosis and prognosis. In this role, you will collaborate with ML scientists, data engineers, biostatisticians, regulatory experts, and senior leadership to understand clinical requirements, develop innovative solutions, and support product development and regulatory approvals. You will also engage in high-impact research collaborations with world-renowned academic and medical institutions. Responsibilities • Research and develop state-of-the-art machine learning models for coronary CT angiography imaging applications., • Conduct rigorous analysis and validation of machine learning algorithms and prototypes., • Explore novel methods for processing and analyzing large, complex medical imaging datasets., • Collaborate with engineering teams to deploy ML algorithms in clinical practice., • Present research findings, insights, and recommendations to internal stakeholders and external collaborators., • Author scientific publications and contribute to patent development., • Ph.D. in Computer Science, Data Science, Biomedical Engineering, Biomedical Imaging, or a related technical field; OR an M.S. with 5+ years of relevant experience., • Strong theoretical and practical expertise in image science, applied mathematics, machine learning, and deep learning., • Research experience in applying ML and deep learning techniques to medical image processing, including segmentation, registration, classification, reconstruction, and detection., • Proven track record of publications in top-tier medical imaging or computer vision conferences and journals (e.g., MICCAI, IEEE TMI, CVPR, Medical Image Analysis)., • Proficiency in Python, with experience handling large datasets, implementing ML pipelines, and visualizing analysis results., • Ability to translate complex clinical requirements into machine learning solutions., • Strong critical thinking, problem-solving, and project management skills., • 2+ years of postdoctoral research or industry experience., • Hands-on experience in developing and applying advanced deep learning models, including vision transformers, semi-supervised/self-supervised/unsupervised learning, incremental learning, and continuous learning techniques. *Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.). Each role at Cleerly has a defined salary range based on market data and company stage. We typically hire at the lower to mid-point of the range, with the top end reserved for internal growth and exceptional performance. Actual pay depends on factors like experience, technical depth, geographic location, and alignment with internal peers. Working at Cleerly takes HEART. Discover our Core Values: • H: Humility- be a servant leader, • E: Excellence- deliver world-changing results, • A: Accountability- do what you say; expect the same from others, • R: Remarkable- inspire & innovate with impact OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. By submitting your application, you agree to receive SMS messages from Cleerly recruiters throughout the interview process. Message frequency may vary. Message and data rates may apply. You can STOP messaging by sending STOP and get more help by sending HELP. For more information see our Privacy Policy (). All official emails will come from @cleerlyhealth.com email accounts. #Cleerly

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 based in our New York 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 Notice to Job Applicants.

Job Description Maven is the world's largest virtual clinic for women and families on a mission to make healthcare work for all of us. Maven's award-winning digital programs provide clinical, emotional, and financial support all in one platform, spanning fertility & family building, maternity & newborn care, parenting & pediatrics, and menopause & midlife. More than 2,000 employers and health plans trust Maven's end-to-end platform to improve clinical outcomes, reduce healthcare costs, and provide equity in benefits programs. Recognized for innovation and industry leadership, Maven has been named to the Time 100 Most Influential Companies, CNBC Disruptor 50, Fast Company Most Innovative Companies, and FORTUNE Best Places to Work. Founded in 2014 by CEO Kate Ryder, Maven has raised more than $425 million in funding from top healthcare and technology investors including General Catalyst, Sequoia, Dragoneer Investment Group, Oak HC/FT, StepStone Group, Icon Ventures, and Lux Capital. To learn more about Maven, visit us at mavenclinic.com. An award-winning culture working towards an important mission – Maven Clinic is a recipient of over 30 workplace and innovation awards, including: • Fortune Change the World (2024), • CNBC Disruptor 50 List (2022, 2023, 2024), • Fortune Best Workplaces for Millennials (2024), • Fortune Best Workplaces in Health Care (2024), • TIME 100 Most Influential Companies (2023), • Fast Company Most Innovative Companies (2020, 2023), • Built In Best Places to Work (2023), • Fortune Best Workplaces NY (2020, 2021, 2022, 2023, 2024), • Great Place to Work certified (2020, 2021, 2022, 2023, 2024), • Fast Company Best Workplaces for Innovators (2022), • Design, build, and deploy end-to-end AI-powered solutions using AI models (e.g., OpenAI, Gemini) and modern orchestration techniques such as RAG, multi-call prompting, and agent frameworks to power intelligent product experiences., • Work with product, data, and engineering teams to turn rich healthcare data into actionable insights and intelligent workflows that improve the care journey for both members and providers., • Develop robust ML pipelines and platform components that enable model experimentation, fine-tuning, training from scratch when needed, and deployment in production environments — with a strong focus on scalability, safety, and performance., • Collaborate cross-functionally to prototype and productionize AI-driven features such as personalization, care routing, decision support, and summarization., • Drive architecture discussions and technical decision-making across AI/ML systems, promoting best practices in coding, design, and evaluation of AI models., • Mentor engineers and data scientists across the organization, fostering a strong culture of curiosity, experimentation, and AI fluency., • A strong track record in either:, • Building AI-powered applications using foundation models and orchestration techniques (e.g., RAG, agents, LangChain, vector search), or, • Deep experience as a data scientist working across the data science lifecycle — from understanding messy, complex datasets to training or fine-tuning models that deliver measurable business impact., • Experience integrating and deploying foundation models via platforms like OpenAI, Google Vertex AI, or similar., • A clear understanding of how to work with health-related datasets, including user behavior, care journeys, health profiles, and provider interactions., • Fluency in Python and experience with backend or platform engineering in one or more additional languages (Go, Java, etc.)., • Familiarity with cloud-native systems (e.g., containerization, orchestration, distributed systems) and how to operationalize AI solutions within them., • Experience with data preprocessing, feature engineering, model evaluation, and end-to-end ML deployment workflows., • A collaborative mindset, strong communication skills, and a passion for using AI to improve healthcare outcomes., • Bachelor's or Master's degree in Computer Science or related field, or equivalent experience. Maven embraces a flexible hybrid work model. Our teams primarily operate from the New York Metropolitan area, NY, San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C. For those in our New York City office, we encourage in-person collaboration by requiring team members to work onsite three days a week (Tuesday, Wednesday, Thursday). For those based in San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C., we encourage in-person collaboration by requiring team members to attend quarterly Work Together Days within these cities. This policy aims to balance remote work flexibility with the benefits of face-to-face interaction. At Maven we believe that a diverse set of backgrounds and experiences enrich our teams and allow us to achieve above and beyond our goals. If you do not have experience in all of the areas detailed above, we hope that you will share your unique background with us in your application and how it can be additive to our teams. At Maven we believe that a diverse set of backgrounds and experiences enrich our teams and allow us to achieve above and beyond our goals. If you do not have experience in all of the areas detailed above, we hope that you will share your unique background with us in your application and how it can be additive to our teams. Benefits That Work For You Our benefits are designed to support your health, well-being and career development, helping you thrive both personally and professionally. We remain focused on providing a competitive benefits package for our employees. On top of standards such as employer-covered health, dental, and insurance plan options, we offer an inclusive approach to benefits: • Maven for Mavens: access to the full platform and specialists, including care for mental health, reproductive health, family planning and pediatrics., • Whole-self care through wellness partnerships, • Hybrid work, in office meals, and work together days, • 16 weeks 100% paid parental leave and new parent stipend (for Mavens who've been with us for 1 year+), • Annual professional development stipend and access to a personal career coach through Maven for Mavens Maven is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Maven is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Maven Clinic interview requests and job offers only originate from an @mavenclinic.com email address (e.g ). Maven Clinic will never ask for sensitive information to be delivered over email or phone. If you receive a scam issue or a security issue involving Maven Clinic please notify us at: . For general and additional inquiries, please contact us at .

Job DescriptionSalary: Competitive salary range: Based on experience and market value Role: Mid - Senior Machine Learning Engineer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,() is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence:Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. Requirements: Degree in Computer Science, Engineering, Statistics, or a related technical field. Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains. Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings. Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems. Strong foundational understanding of algorithmic complexity and data structure optimization. Excellent problem-solving, collaboration, and communication abilities. Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects. Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn). Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures. Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices. Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team. Ensure all AI implementations are compliant with ethical guidelines and data privacy standards. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Job DescriptionSchmidt Sciences is a nonprofit organization founded in 2024 by Eric and Wendy Schmidt that works to accelerate scientific knowledge and breakthroughs with the most promising, advanced tools to support a thriving planet. The organization prioritizes research in areas poised for impact including AI and advanced computing, astrophysics, biosciences, climate, and space—as well as supporting researchers in a variety of disciplines through its science systems program. The Schmidt Sciences Climate Institute seeks to understand how our planet works and the ways it's changing, connect climate research to action by developing science-driven tools, and empower interdisciplinary networks needed to drive climate solutions. Reporting to the Climate Director, the Program Scientist will execute on all aspects of strategic grantmaking for the Earth system modeling portfolio, including leading the Virtual Earth System Research Institute (VESRI) program and advancing our new cross-cutting AI for Climate, Energy, and the Environment (AI4ECE) initiative. We seek a mid-career scientist with deep subject matter expertise ranging from climate model development to AI/ML-enabled emulators to calibration frameworks. The Program Scientist sets the scientific direction for the portfolio and leads the review and diligence of research proposals, tracking gifts and grants throughout their lifecycle, as well as supporting the awardee community. As part of their responsibilities, the Program Scientist, working with the Institute Lead, Director, and Advisory Board, will lead an integrated and interdisciplinary team to develop new areas and approaches for Earth system modeling research. They will manage existing and new programs, including a proposed multi‑phase Climate Modeling Challenge to shorten model development cycles by enabling rapid integration of model improvements (e.g., novel parameterizations, emulators, ML components). Virtual Institute: Schmidt Sciences has developed a model called the Virtual Institute which we define as a network of multiple high-risk, high-impact research projects typically composed of multiple international teams taking complementary approaches to a common problem. The Program Scientist will ensure the success of current VESRI projects and create a roadmap for future funding, including the launch of the Climate Modeling Challenge. Currently in its 5th year, VESRI aims to improve the realism and credibility of Earth system models and create a new generation of models more responsive to data and more adaptable to planning needs. To date, VESRI has convened hundreds of climate and data scientists across 11 countries, and ~50 institutions to advance methods and algorithms that improve representation of essential processes in Earth system models and promote team science, sustainable software, and open data. As VESRI evolves and expands, we seek an expert who can lead the strategic application of recent advances in AI/ML methods to address a range of limitations in current Earth and energy systems models to achieve orders-of-magnitude faster development cycles. AI for Climate, Energy, and the Environment (AI4ECE): The Climate Institute seeks to advance a new cross-cutting initiative focused on applying AI/ML to better couple Earth and energy system models to deliver accurate, reliable, decision‑relevant insights on climate impacts, decarbonization pathways, and resource needs. While there are significant dedicated efforts, particularly in the private sector, in using AI/ML for shorter-term weather forecasting, the AI4ECE initiative will focus on improving medium-to-long term climate projections which we believe remain under-resourced and under-funded. Purely data-driven models, while skilled at short to medium term forecasting, fail to represent the internal variability of Earth systems and do not extrapolate well to different forcings (e.g. unseen emission scenarios) because they are missing the representation of processes that evolve slowly (e.g. carbon cycle, ocean carbon/heat uptake) and any associated feedbacks. The Program Scientist will work collaboratively across the Climate Institute to drive the success of this initiative. Key Responsibilities for this role include the following:Grantmaking and Strategic Leadership: • Set the scientific vision and ensure the success of the Earth system modeling portfolio., • Lead all aspects of annual grantmaking for multi-million dollar awards, assessing opportunities, evaluating the impact, and managing diverse recipient organizations., • Manage a complex, international portfolio: milestones, risk, inter‑team dependencies, and synthesis of technical progress into model‑facing outputs ready for integration into global modeling centers., • Build cross-disciplinary collaborations across Earth and energy science communities, integrating models and data from currently siloed communities, and ultimately tailoring model outputs to the needs of climate action., • Serve as an expert advisor on scientific topics for the climate team, including coupled model development, climate emulators, AI and machine learning, Earth system model scenarios, carbon emissions and attribution, and climate mitigation., • Review and vet research proposals for scientific promise and viability, in conjunction with the broader Climate team., • Work with other parts of Schmidt Sciences while bringing an objective scientific approach to a variety of societal and organizational challenges., • Architect, launch, and lead the next phase of VESRI beginning with the Climate Modeling Challenge, including leading RFP process., • Drive the internal project assessment process for new and ongoing projects and ensure that the Monitoring, Evaluation, and Learning framework captures key insights for assessing progress and/or alignment within the context of the program’s core priorities and the broader Climate Institute.Partner and Awardee Engagement:, • Broker collaborations with modeling centers to incorporate advances into legacy and next‑gen models without compromising stability or generalizability., • Serve as a credible scientific counterpart to PIs, modeling centers, computing partners, and funders; represent the program in talks, briefings, and synthesis reports. Enable awardees to achieve impact by providing expertise and technical assistance, as appropriate., • Clearly and consistently communicate with awardees, team, and other partners in a transparent, timely, and respectful manner., • Organize Schmidt Sciences-sponsored meetings of awardees, advisors, and field experts., • Identify organizations — including universities, labs, other research facilities, and philanthropic and government organizations — that could work in concert with Schmidt Sciences on efforts relating to Climate., • Represent Schmidt Sciences effectively in meetings, presentations, public forums, and conferences, engaging with awardees, leaders across sectors, officials, academics, and journalists.Portfolio Development and Organizational Leadership:, • Manage the award proposal process to ensure the overall scientific priorities in the carbon portfolio and set future directions for engagement., • Conduct oversight, management, and evaluation of grants/gifts in the portfolio., • Refine portfolio strategies, pursue new grantmaking opportunities, and conduct research in strategic priority areas., • Integrate strategic communications and evaluation into grantmaking; foster ongoing learning among grantees and staff to inform strategy; and synthesize and share insights., • Help to design programs and strategies that draw upon one or more scientific disciplines related to the program., • Continually monitor and address complex legal, financial, and technical issues that may arise in partnership with Schmidt Sciences grantmaking teams., • Create strategy documents, presentations, etc. for Schmidt Sciences leadership and founders., • Provide support for all existing Climate Institute programs by providing networking assistance, scientific expertise, and mentorship, as needed, and by working closely and collaboratively with the teams responsible for delivery., • Work with other members of the Schmidt Sciences team to drive organizational priorities and role model our values.Required Qualifications:, • A scientific doctorate from an accredited institution., • Demonstrated track record of scientific accomplishments, evidenced by peer-reviewed publications, patents, successful grant applications, or contributions to innovative research projects, ensuring the ability to bring expertise and insights to advance scientific objectives., • At least 7 years of work experience, preferably with at least some experience in non-profits, philanthropy, or government post PhD., • Demonstrated ability to collaborate and a record of impact in high-intensity, team-based environments., • The highest integrity and ability to maintain confidentiality., • Be based at the Schmidt Sciences offices in New York and be able to travel within the U.S. and internationally on a regular basis as needed.Desired Knowledge Skills, and Abilities:, • Demonstrated track record of leading and managing large, multi-million dollar programs., • Demonstrated interest in climate-relevant AI/ML techniques, interdisciplinary research and real-world applications., • Strong publication record., • Expert-level experience and credentials in one or more fields of science related to Earth system modeling, emulators, AI/ML methods for climate, and data assimilation., • Ability to critically analyze and assess funding proposals and other opportunities., • Experience working with other science-focused institutions such as philanthropic organizations or academic research institutions., • Experience with deep learning, cloud computing, and geospatial datasets.

Job Description Hi, we're Oscar. We're hiring a Lead Data Scientist to join our Engineering 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 has both care management and virtual care assets which provide a mechanism to help clinically risky members. You will help to improve the impact of these programs. This will involve sizing ideas to change existing or create new programs, designing experiment/measurement plans for programs, designing targeting mechanisms used for identification for programs, conducting ongoing monitoring and measuring of programs, and determining ways to optimize programs. You will apply population health or clinical expertise, predictive modeling, and traditional healthcare program evaluation techniques. You work with Oscar's clinical team and have accountability for driving shared goals. You will report into the Senior Director, Data. Work Location: This position is based in our New York 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: $174,400 - $228,900 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities: • Translates business goals into plans and tactics for the team, • Works with more senior leaders to establish longer term strategies and roadmaps, • Participates in team-wide technical and operations management responsibilities, • Interacts and collaborates closely with data and business management across functional areas, • Leads the research, development, and maintenance of data pipelines, statistical/ML models, and/or advanced analyses, • Compliance with all applicable laws and regulations, • 6+ years of industry or other quantitative technical fields (which may include academia), • 4+ 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 DescriptionCompany Overview:Established in 1805, the New York City Department of Health and Mental Hygiene (the NYC Health Department) is the oldest and largest health department in the country. Our mission is to protect and improve the health of all New Yorkers, in service of a vision of a city in which all New Yorkers can realize their full health potential, regardless of who they are, how old they are, where they are from, or where they live. As a world-renowned public health agency with a history of building transformative public health programming and infrastructure, innovating in science and scholarship to advance public health knowledge, and responding to urgent public health crises — from New York City’s yellow fever outbreak in 1822, to the COVID-19 pandemic — we are a hub for public health innovation, expertise, and programs, and services. We serve as the population health strategist, and policy, and planning authority for the City of New York, while also having a vast impact on national and international public policy, including programs and services focused on food and nutrition, anti-tobacco support, chronic disease prevention, HIV/AIDS treatment, family and child health, environmental health, mental health, and racial and social justice work, among others. Job Summary:The Bureau of Data Technology and Strategy seeks a Data Science Associate to provide technical support for the application of data science to study public health outcomes and solutions. The Data Science Associate will engage in the implementation of AI/ML research tools, bringing in-house solutions to scale, and adapting developed technologies to new use cases. Problem-solving and stakeholder engagement skills will be applied in the public health setting to facilitate research, advanced analytics, and operations. The Data Science Associate will regularly interface with data engineers, data product developers, and data governance staff to integrate and maintain novel solutions into an enterprise data platform. The Data Science Associate will provide technical assistance to Agency users to promote and maintain the use of AI/ML technology solutions. The Data Science Associate will also provide support to the Senior Research Data Scientist for proposal development including technical advisement on analytic approaches and methods, technology resource requirements, timelines, and intended outputs. The successful candidate will be situated within a values-driven and highly collaborative work unit with strong technical and professional mentorship; professional development opportunities will be continuously available. This position will be within the Health Department’s innovative Center for Population Health Data Science (CPHDS). The CPHDS is working to strengthen citywide population health surveillance by better linking public health, healthcare, and social service data to fully characterize and improve the health of New Yorkers. Our vision is for these data tobe accessible, timely, equitable, meaningfully usable, and protected – and being actively to protect and promote health and wellbeing of New Yorkers. The selected candidate will be an employee of Public Health Solutions, a nonprofit organization which is the fiscal and administrative manager of the grant, but the work be supervised by DOHMH. This position will be based at the Health Department’s office in Long Island City, NY, with the possibility of hybrid work. Responsibilities: • Support research that strengthens public health insights and actions through the use of data scientific methods, especially reusable, scalable AI/ML methods, • Identify and/or assist development of AI/ML methods and/or practices; promote them to agency’s data analysts, data engineers, data scientists, and researchers through trainings and/or reports, • Contribute to development of health equity-focused data products, • Collaborate with CPHDS data engineers, product developers, product managers, and researchers to develop and launch public health analytic solutions for the Agency and the public health community at-large, • Collaborate with internal and external researchers and analysts for various research projects, • Author reports, presentations, and scientific papers based on analyses Qualifications:, • A minimum of 2 years of work experience in statistical learning development, with some work experience in the development of deep learning algorithms, • High fluency in the Python programming language is required, with proficiency in one of the deep-learning frameworks PyTorch or Tensorflow, • Experience in virtualization technology, particularly with working experience in cloud environments (e.g., Azure, GCP, AWS, Databricks), • Experience in the development and deployment of foundation models, • Advanced knowledge and experience in data wrangling, analysis, and visualization, • Knowledge of public health research and operations, including health equity, • Experience developing user interfaces and dashboards, working with geospatial data a plus, • Ability to work with staff at all levels and to communicate complex technical knowledge in language that is understood at every level, • Hybrid Work Schedule., • Generous Paid Time Off and Holidays., • An attractive and comprehensive benefits package including Medical, Dental and Vision., • Flexible Spending Accounts and Commuter Benefits., • Company Paid Life Insurance and Disability Coverage., • 403 (b) + employer matching and discretionary company contributions., • College Savings Plan., • This individual must reside in the tri-state area (NY, NJ, CT) by their confirmed start date., • Preference may be given to individuals residing in New York City (5 boroughs) or surrounding New York State counties., • This individual will be expected to work non-business hours during emergencies., • This is a temporary grant-funded position ending in November 2027 At PHS, we place immense value on diversity within our teams, understanding that varied backgrounds and experiences significantly enhance our community and propel us toward our goals. If you find you don’t have experience in all the areas listed above, we still encourage you to apply and share your background and experiences in your application. We are eager to discover how your unique perspective can bring positive transformations to our team and help advance our mission of creating healthier, more equitable communities. We look forward to learning more about you! PHS is proud to be an equal opportunity employer and encourages applications from women, people of color, persons with disabilities, LGBTQIA+ individuals, and veterans. Monday-Friday Hybrid 35 Hours Per Week