Lead data scientist jobs in Newark, New Jersey - Page 2Create job alerts

What We Do Milliman IntelliScript is a group of a few hundred experts in fields ranging from actuarial science to information technology to clinical practice. Together, we develop and deploy category-defining, data-driven, software-as-a-service (SaaS) products for a broad spectrum of insurance, health IT and life sciences clients. We are a business unit within Milliman, Inc., a respected consultancy with offices around the world. IntelliScript attracts top candidates with its innovative, collaborative, and entrepreneurial atmosphere focused on excellence, outstanding customer service, balance, and transparency. Everyone’s opinion counts here, and we motivate each other to explore our full and varied potential. Our steady growth means there are ongoing opportunities for you to expand your skills, take on new responsibilities, and advance in your career. Our team is smart, down-to-earth, and ready to listen to your best ideas. We reward excellence and offer competitive compensation and benefits. Visit our ___ for a closer look at our company, and learn more about our cultural values ___. Milliman invests in skills training and career development and gives all employees access to a variety of learning and mentoring opportunities. Our growing number of Milliman Employee Resource Groups (ERGs) are employee-led communities that influence policy decisions, develop future leaders, and amplify the voices of their constituents. We encourage our employees to give back to their varied professions, including leadership in professional organizations. Please visit our ___ to learn more about Milliman’s commitments to our people, diversity and inclusion, social impact, and sustainability. What this position entails IntelliScript’s Data has been a key part of our success and is critical to our future. In this position as a Staff Data Engineer of IntelliScript’s Data Platform, you will be a trusted advisor across leadership and engineering team, responsible for technical decisions. You will ensure data systems work together across our hybrid environments with a focus on scale and performance. You will lead technical and architecture decisions in collaboration with architecture and data engineering teams while ensuring compliance with industry-leading data privacy standards. What you will be doing • Acts as a subject matter expert and thought leader within the Data Platform Domain, • Data Strategy: Serves as a thought leader in data processing design and implementation, defining advanced structure for moving, storing, and maintaining high-quality data, • Team Leadership: Leads projects by managing timelines, coordinating teams, and communicating project statuses. Influences organizational direction through effective leadership and strategic collaboration, • Data Governance and Security: Serves as a subject matter expert on governance standards, continuously aligning data practices with evolving industry best practices and requirements, • Project Management and Scope of Work: Contributes to defining the overall vision and strategy for data engineering within the organization, ensuring alignment with organizational goals and long-term objectives, • Results Orientation: Establishes visionary goals, advises on strategic plans, employs advanced monitoring, influences high-level stakeholders, and delivers transformative results, • Data Platform: Expansion of our Data Warehouse(s) and Lakehouse solutions for a healthcare data focused enterprise, • Data Governance: Configuring and maintaining unity catalog to enable enterprise data lineage, data quality, auditability and data stewardship, • Data Security: Building out Data Security protocols and best practices including the management of identified and de-identified (PHI/PII) solutions, • Access Management: Always ensure a policy of least privilege is followed for anything being implemented, • External Data Products: Building data solutions for clients while upholding the best standards for reliability, quality, and performance, • ETL: Building solutions within Delta Live Tables and automation of transformations, • Medallion Architecture: Building out performant enterprise-level medallion architecture(s), • Streaming and Batch Processing: Building fit-for-purpose near real-time streaming and batch solutions, • Large Data Management: Building out performant and efficient enterprise solutions for internal and external users for both structured and unstructured healthcare data, • Platform Engineering: Building out Infrastructure as Code using Terraform and Asset Bundles, • Costs: Working with the business to build cost effective and cost transparent Data solutions, • Pipeline/ETL Management: You will help architect, build, and maintain robust and scalable data pipelines, monitoring, and optimizing performance, • Experience working with Migration tools i.e. Fivetran, AWS technologies and custom solutions, • Identify and implement improvements to enhance data processing efficiency, • Design and implement reliable and resilient Event Driven data processing, • Experience with building out effective pipeline monitoring solutions, • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Delta Live Tables, Python, Scala, and cloud-based ‘big data’ technologies, • API Development: Drive our design and implementation of internal APIs for integrating data between different systems and applications, • Integration with external systems utilizing API driven processes to ingest data, • Develop APIs built on top of datasets for internal systems to consume data from Databricks, • Experience integrating with external APIs including but not limited to Salesforce, Financial systems, HR systems and other external systems, • Data Modeling: Lead design, implementation, and maintenance of standards based (FHIR, OMOP, etc.) and efficient data models for both structured and unstructured data, • Assemble large, complex data sets that meet functional and non-functional business requirements, • Develop and maintain data models, ensuring they align with business objectives and data privacy regulations, • Collaboration: Partner internally and externally with key stakeholders to ensure we are providing meaningful, functional, and valuable data, • Effectively work with Data, Development, Analysts, Data Science, and Business team members to gather requirements, propose, and build solutions, • Communicate complex technical concepts to non-technical stakeholders and provide guidance on best practices, • Ensure that technology execution aligns with business strategy and provides efficient, secure solutions and systems, • Gather requirements and build out project plans to implement those requirements with forecasted efforts to implement, • Processes and Tools: Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc., • Build analytics tools that utilize the data pipeline to provide actionable insights into operational efficiency and other key business performance metrics, • Create data tools for clinical, analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader, • Lead investigation of new tooling, develop implementation plans, and deployment of necessary tooling What we need • 15+ years of relevant experience in design, development, and testing of Data Platform solutions, such as Data Warehouses, Data Lakes, and Data Products, • Expert level experience working in Databricks and AWS, • Expert level experience working in both relational and non-relational databases such as SQL Server, PostgreSQL, DynamoDB, DocumentDB, • Experience managing and standardizing clinical data from structured and unstructured sources, • Experience building and managing solutions on AWS, • Expert knowledge in healthcare standards including FHIR, C-CDA, and traditional HL7, • Expert knowledge in clinical standards/ontologies including ICD10/SNOMED/NDC/LOINC/Rx Norm, • Expert in building out data models, data warehouses, designing of data lakes for enterprise and product use cases, • Familiarity with designing and building APIs, ETL and data ingestion processes and utilization of tools to support enterprise solutions, • Experience in performance tuning, query optimization, security, monitoring, and release management, • Experience working with and managing large, disparate, identified and de-identified data sets from multiple data sources, • Experience with building and deploying IAC using terraform, asset bundles and GitHub, • Experience collaborating with Data Science teams and building AI based solutions to drive efficiencies and business value What you bring to the table • Demonstrated “let’s find a way to do it” attitude – no task is too big or too small, • Effective collaboration and communication across multiple technical and non-technical disciplines, • Comfortable working through ambiguous situations, • Able to teach & mentor others on new/emerging technologies, • Customer obsessed with a business-centric focus, • Able to understand both strategic and tactical needs and balance appropriately, • Driven, thorough and self-directed, • Able to lead through influence and persuasion, • Curiosity to explore industry trends and drive the organization to utilize fit for purpose solutions Wish list • Bachelor's degree or master's degree in computer science, data engineering or related field, • Health and Life Insurance business experience, • Professional level solution architecture certification in AWS Location The expected application deadline for this job is June 30, 2026. This position is open to remote work. Applicants must be willing to travel to the Milliman office in Brookfield, WI as needed and travel nationwide for meetings, conferences, and team events. Compensation The overall salary range for this role is $131,600 - $249,780. For candidates residing in: • Alaska, California, Connecticut, Illinois, Maryland, Massachusetts, New Jersey, New York City, Pennsylvania, Virginia, Washington, or the District of Columbia the salary range is $151,340 - $249,780., • All other locations the salary range is $131,600 - $217,200. A combination of factors will be considered, including, but not limited to, education, relevant work experience, qualifications, skills, certifications, etc. Benefits We offer a comprehensive benefits package designed to support employees’ health, financial security, and well-being. Benefits include: • Medical, Dental and Vision – Coverage for employees, dependents, and domestic partners, • Employee Assistance Program (EAP) – Confidential support for personal and work-related challenges, • 401(k) Plan – Includes a company matching program and profit-sharing contributions, • Discretionary Bonus Program – Recognizing employee contributions, • Flexible Spending Accounts (FSA) – Pre-tax savings for dependent care, transportation, and eligible medical expenses, • Paid Time Off (PTO) – Begins accruing on the first day of work. Full-time employees accrue 15 days per year, and employees working less than full-time accrue PTO on a prorated basis, • Holidays – A minimum of 10 paid holidays per year, • Family Building Benefits – Includes adoption and fertility assistance, • Paid Parental Leave – Up to 12 weeks of paid leave for employees who meet eligibility criteria, • Life Insurance & AD&D – 100% of premiums covered by Milliman, • Short-Term and Long-Term Disability – Fully paid by Milliman Equal Opportunity All qualified applicants will receive consideration for employment, without regard to race, color, religion, sex, sexual orientation, national origin, disability, or status as a protected veteran.

Role - Machine Learning Expert (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) 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 premier client. 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. We provide 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

Role: ML/AI Engineers (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. What You’ll Bring Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data Engineering background, especially in one of the major clouds. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. 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

Daymark Solutions is an experienced technology integration and solutions provider that helps organizations effectively architect, implement, and deploy customized solutions using best of breed technologies. Specializing in cloud solutions and datacenter technologies, Daymark’s unique combination of in-depth technical knowledge, extensive experience, and proven methodologies enable our customers to successfully address even the most difficult business and technology challenges. The Role We’re looking for an M365 Architect who thrives on solving real business challenges and shaping how modern workplaces operate. As a senior member of our Professional Services team in the Modern Work practice, you’ll lead high-impact discovery and pre-sales engagements—partnering with clients to uncover their needs, define the right solutions, and clearly articulate the value behind them. You don’t just design solutions; you influence decisions. This role is a true blend of pre-sales (50%) and post-sales (50%) consulting, giving you full ownership from the first conversation through successful delivery. You’ll architect, scope, and implement Microsoft 365 solutions while serving as a trusted advisor every step of the way, guiding clients through complex decisions and ensuring outcomes that are both technically sound and business-driven. Responsibilities • Lead technical discovery and pre-sales engagements, translating customer business needs into solution architectures, scope definitions, and compelling value propositions in partnership with the sales team., • Design, configure, and implement cloud and technology solutions while delivering documentation and knowledge transfer to customer stakeholders., • Serve as a trusted advisor throughout the project lifecycle, driving successful deployments, resolving complex technical challenges, and ensuring customer satisfaction and adoption goals are met., • Advise customers on best practices, whether with industry standards or your own recommendations, around Microsoft 365 including tenant configuration, security, integrations, endpoint management, data governance, and Artificial Intelligence., • Contribute to expanding our Microsoft partnership & Modern Work practice through growth in CSP and Professional Services revenue, the development of new technical skills & focus areas, and building relationships with key Microsoft resources., • Participate in knowledge exchanges with coworkers, regularly sharing and receiving knowledge to enhance our Microsoft 365 services, including best practices, implementation strategies, complex architectures., • Collaborate with team members to define and implement/document standards and methodologies for Professional Services engagements. Experience with the Microsoft Partner ecosystem including Solution Partner designations, Advanced Specializations, and how to achieve them. Insight into Microsoft programs and customer funding mechanisms including ECIF. Knowledge and experience with many of the following technologies as possible: * Core Microsoft 365 services including Exchange Online, SharePoint Online, Entra ID Microsoft Teams, and OneDrive for Business. * Microsoft 365 GCC High in support of regulated environments specifically the Defense Industrial Base. * Installation, configuration, and optimization of Entra ID Connect in large complex AD environments. * Microsoft Purview, including Information Protection and Rights Management. * Microsoft Intune for Mobile and Windows Autopilot, app deployment, device lifecycle, configuration profiles. * Microsoft Defender Suite, including Defender for Endpoint, Defender for Cloud Apps, and Defender for Identity. * Microsoft 365 Copilot and Copilot Studio. * Power Platform, including Power Automate and Copilot Agents. * Azure Virtual Desktop and Windows 365 Endpoint management. * Quest On Demand Migration tools and/or 3rd party migration solutions. Microsoft Certifications or the ability to achieve them during the first 6-12 months: * Microsoft 365 Certified: Administrator Expert (MS-102) * Cybersecurity Architect Expert (SC-100) * Security Operations Analyst Associate (SC-200) * Identity and Access Administrator Associate (SC-300) * Information Protection Administrator Associate (SC-401) * Azure Administrator Associate (AZ-104) Additional Requirements • A business and technology mindset that can identify ways to grow our org and expand our capabilities., • Proven experience in identifying business challenges and requirements, building and delivering compelling presentations, crafting detailed statements of work, and clearly and concisely conveying solutions to both engineers and C-suite stakeholders., • The ability to lead multiple pre-sales engagements simultaneously and identify ways to drive repeatability and innovation within the team., • Strong organizational skills and the ability to own customer engagements end-to-end, including pre-sales architecture and design, scope and license planning, solution implementation, project management, communication, and documentation., • Strong written and verbal communication skills and the ability to clearly articulate both business and technology topics., • Excellent problem-solving and troubleshooting skills including the ability to manage communications internally and with the customer during challenging situations., • Relationships with Microsoft Sales, Technical Specialists, Product Managers, Program Managers, MVPs., • Deep experience with Cybersecurity Maturity Model Certification (CMMC) 2.0, • Deep knowledge of developing advanced PowerShell scripts for automating critical tasks during implementations, migrations and assessments., • The ability to help develop and refine our growing Data & AI practice leveraging your experience with Microsoft Fabric, Microsoft Foundry, Dataverse, and/or Copilot Studio including currently holding or the ability to achieve the following certifications: Azure AI Engineer Associate (AI-102), Azure Data Scientist Associate (DP-100), Azure Data Engineer Associate (DP-203), and/or Azure Database Administrator Associate (DP-300)., • The ability to help build and grow our Microsoft Power Platform practice including currently holding or the ability to achieve any of the following certifications: Power Platform Functional Consultant Associate (PL-200), Power BI Data Analyst Associate (PL-300), Power Platform Developer Associate (PL-400), Power Automate RPA Developer Associate (PL-500), and/or Power Platform Solution Architect Expert (PL-600)., • Any experience with 3rd party solutions that integrate with Microsoft 365 environments including but not limited to Varonis, Okta, Mimecast, Proofpoint, Druva and/or AvePoint. Full-time, permanent role * Base Salary: $200,000 annually (up to $230,000 in On-Target Earnings) * Comprehensive employee benefits plan * Fully remote work

Ready to Ignite your career and work alongside some of the brightest and most innovative professionals in cutting-edge data and cloud technologies? Join us and unleash your potential in an Agile, mission-driven environment supporting the men and women dedicated to safeguarding the American people and enhancing the Nation’s safety, security, and prosperity. As a Databricks Subject Matter Expert, you will lead modernization efforts across enterprise data platforms, migrating legacy environments into scalable cloud-native architectures. You will design, build, and optimize advanced data pipelines and analytics solutions using Databricks, PySpark, and modern cloud tools—driving real-time insights and powering mission-critical applications. This role blends strategic architecture, hands-on engineering, and collaboration across cross-functional teams to deliver high-impact outcomes for national security missions. Your Role • Modernize the data warehouse environment by migrating the platform to Databricks., • Work with database developers and administrators across multiple product teams., • Serve as a data and technology expert across a broad and diverse set of mission critical applications., • Design, develop, and maintain robust and scalable data warehouse architectures and ETL/ELT data pipelines using Databricks, PySpark, Python, SQL., • Automate ETL/ELT data pipelines using Continuous integration, Continuous Deployment (CI/CD) tools and technologies., • Evaluating existing data sets and reporting architectures to identify strategic gaps and apply modern technologies to creatively achieve superior mission outcomes., • Analyze project-related problems and create innovative solutions involving technology, analytic methodologies, and advanced solution components., • Optimize and troubleshoot data pipelines and warehouse performance to ensure efficient and reliable data processing., • 3 year check for felony convictions, • 1 year check for illegal drug use, • 1 year check for misconduct such as theft or fraud, • 7+ years of professional experience working on complex data challenges in the areas of data architecture and engineering, • 3–5 years of Databricks experience., • Alternative/equivalent technologies such as Snowflake, Google BigQuery, or Microsoft Azure Synapse Analytics will also be considered., • Proven expertise with Databricks, including extensive hands-on experience with PySpark, Python, SQL, Kafka, and Databricks notebooks., • Strong experience with data modeling techniques (e.g., dimensional modeling, data vault) and database design., • Experience building and optimizing data pipelines for batch and/or streaming data., • Experience with cloud platforms (e.g., AWS, Azure, GCP) and services related to data storage and processing (e.g., S3, ADLS)., • Experience automating ELT data pipelines using Continuous Integration, Continuous Deployment (CI/CD) tools and technologies., • Strong software development background using Agile or DevOps methods and deep familiarity with cloud-native technologies., • 5–10 years of DHS, DoD, or IC experience working in complex data environments, including the architecture and optimization of data schemas, terabyte-scale ETL, etc., • 5–10 years of experience applying a range of analytical techniques including statistical, geospatial, link, temporal, and predictive analysis, for DHS, DoD, or IC agencies., • 3–5 years of experience building and implementing artificial intelligence, neural networks, deep learning, or machine learning capabilities in software applications in a national security or academic environment., • Exposure to implementing or migrating to Cloud environments like Amazon Web Services (AWS) or Microsoft Azure., • Previous experience as an Enterprise-level Data Architect, Data Engineer, Data Scientist, or Data Analyst., • Ability to apply advanced principles, theories, and concepts, and contribute to the development of innovative principles and ideas. Ignite IT offers a comprehensive salary and benefits package to include Medical, Dental, and Vision; Short Term/Long Term/Life Insurance; 401K with matching and fully Vested 100%; PTO; Holiday; Training; and much more… Ignite IT is an Equal Employment Opportunity/Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, Veteran status, sexual orientation, or other protected characteristic. In accordance with EO 13665 Final Rule, Ignite IT will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Applicants selected must be able to possess and maintain a government clearance as required for access to classified information. US CITIZENSHIP REQUIRED If located within 40 miles of Ashburn, VA, candidate is expected to work 1 day per week in-office • 401(k), • 401(k) matching, • Dental insurance, • Employee assistance program, • Flexible schedule, • Flexible spending account, • Health insurance, • Health savings account, • Life insurance, • Paid time off, • Professional development assistance, • Referral program, • Retirement plan, • Tuition reimbursement, • Vision insurance

Alpha is a product studio focused on the intersection of AI and consumer social – backed by a16z and many of the top investors in the world. Our goal is to create social products that we use, that our friends use, and that have the potential to reach billions of people. Clubhouse was our first app, and we’ve been quietly growing that while building our next set of products. We have years of runway, millions of users, and find ourselves at a very interesting time, where AI is making entirely new things possible with voice. If you are a talented builder who’s interested in joining us, we’d love to talk. * You'll be the senior technical anchor for our data science function, shaping how we do data science at Alpha, driving cross-functional data strategy, and helping the team do its best work. You’ll set direction for our experimentation practice and bring analytical clarity to the biggest strategic bets we’re making, across all product areas. * You’ll own data strategy across the company. You’ll set direction for our experimentation practice and bring analytical clarity to the biggest strategic bets we’re making, across all product areas. We're a small team (1 data scientist + a part-time data engineer) at a company with millions of users. Your work will be high-leverage and visible. * You’ll provide mentorship and thought partnership to our senior data scientists, and operate with the autonomy that comes with setting direction, not just executing within it. * We are a remote friendly-company — with a strong commitment to ensuring people can do great work here and thrive without having to live near an office. This role is open to candidates across the U.S. * You're technically deep. You have 7+ years of experience as a data scientist. You're highly fluent in SQL and Python — not just for analysis, but for influencing engineering decisions, defining data infrastructure standards, and being a credible technical voice in system design conversations. You're comfortable operating across an end-to-end data pipeline: you can triage pipeline issues, spec data engineering work, and lead a data engineer through complex problems when needed. You've designed and analyzed experiments, know the difference between a well-run test and a noisy one, and have deep expertise in predictive modeling and ML techniques. * You think like a product partner, not a service org. You don't wait for requests – you proactively identify what questions matter, size opportunities, and help product managers figure out where to place bets. You have a healthy skepticism about data and know when something doesn't add up and dive deeper towards the right solution. * You communicate with clarity. You can take a messy analysis and turn it into a clear recommendation. You write well. You build dashboards and visualizations that people actually use to make decisions. * You thrive with autonomy. You will set the agenda for what the team works on and helps shape which bets the company makes. You thrive in turning ambiguity into a roadmap. * You ship. You have a bias toward getting things done. You'd rather have a good-enough answer today than a perfect one in two weeks. * You are a team player. You have a low-ego, put the team’s success first, and believe that fostering a collaborative and diverse environment is not only integral to the team's well-being but also crucial for driving innovation and achieving long-term success. * Own our experimentation framework and standards across squads. Define how we design, run, and evaluate experiments, setting the bar for what a well-run test looks like, driving consistency across the org, and directly owning the highest-stakes analyses. * Drive strategic opportunity sizing across the company. You’ll proactively identify where we should place bets and make data proactive product partners. You’ll synthesize signals across product areas and help leadership prioritize before roadmaps are locked. * Own company-wide, top line metric strategy and drive the data changes needed to ensure high data coverage and accurate metric forecasting for our quarterly and yearly goals. * Lead our predictive modeling and ML work. You’ll own the models that proactively shape product direction and mentor data scientists in developing these skills. * You’ll grow, teach, and improve rapidly. At Clubhouse you’ll be working with an incredible team, who love to learn from and teach each other. You’ll find yourself stretching to new areas, immersed in feedback, and growing your skills on a daily basis. * You’ll create something meaningful. Social products allow people to connect in ways that were never before possible. When the telephone was invented, it suddenly allowed people to speak with others across the world. Thanks to FaceTime, grandparents everywhere can now watch their grandchildren grow up. At Clubhouse, you’ll be figuring out something entirely new for the world—a positive product that brings people’s voices together to help everyone have a life filled with great friendships. Our company is proud to be an equal opportunity employer. We do not discriminate in hiring or make any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristics. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at ___.

Sr Medical Scientist Syneos Health is a leading fully integrated biopharmaceutical solutions organization built to accelerate customer success. We translate unique clinical, medical affairs and commercial insights into outcomes to address modern market realities. Our Clinical Development model brings the customer and the patient to the center of everything that we do. We are continuously looking for ways to simplify and streamline our work to not only make Syneos Health easier to work with, but to make us easier to work for. Whether you join us in a Functional Service Provider partnership or a Full-Service environment, you'll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to accelerate the delivery of therapies, because we are passionate to change lives. Discover what our 29,000 employees, across 110 countries already know: WORK HERE MATTERS EVERYWHERE Why Syneos Health • We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program., • We are committed to our Total Self culture - where you can authentically be yourself. Our Total Self culture is what unites us globally, and we are dedicated to taking care of our people., • We are continuously building the company we all want to work for and our customers want to work with. Why? Because when we bring together diversity of thoughts, backgrounds, cultures, and perspectives - we're able to create a place where everyone feels like they belong. Job Responsibilities • Works with Medical Director to develop medical plans (Medical Management Plan, Medical Data Review Plan, and Eligibility Review Plan). Engages with outside experts/consultants/advisors to coordinate the acquisition of necessary medical/scientific input to prepare the respective medical plans., • Performs regular and ad-hoc medical review of data listings and data visualization as needed; analyzes the data to identify risks and data patterns/trends and supports documentation of medical reviews. Pro-actively identifies and resolves medical data review issues as they arise., • Authors medical data queries and reviews query responses, approves query closure in association with Medical Director., • May assist Medical Director in patient profiles review, scientific review of other study level data, protocol deviation review, creation of Medical Review Summary report as needed., • Partners with Medical Directors for medical data review meetings and safety review meetings including slide preparation as needed., • Manages project scope of work, objectives, and quality of deliverables to ensure the project specific milestones and timelines are met. Serves as primary interface between internal team, customers, and vendors in the areas of medical data review and eligibility review., • Collaborates with study team members including Clinical Operations, Data Management, Drug Safety and Pharmacovigilance, and Project Management (set-up and/or lead meetings as appropriate) to identify risks related to data integrity and subject safety. Escalates ongoing and newly developed study concerns such as at-risk project deliverables and out of-scope tasks to the project leads in a timely manner., • Attends and present at Trusted Process meetings and may participate in internal and external audits., • Acquires basic understanding and knowledge of ongoing protocol designs and disease related terminology and pathology., • Adheres to all data privacy guidelines, International Committee on Harmonization (ICH), and Good Clinical Practices (GCPs), all enterprise policies, standard operating procedures, work instructions, and project plans. Adheres to customer policies and standard operating procedures, as required in project plans., • May manage limited number of direct reports. May participate or conduct interviews., • Works with Medical Director to develop medical plans (Medical Management Plan, Medical Data Review Plan, and Eligibility Review Plan). Engages with outside experts/consultants/advisors to coordinate the acquisition of necessary medical/scientific input to prepare the respective medical plans., • Performs regular and ad-hoc medical review of data listings and data visualization as needed; analyzes the data to identify risks and data patterns/trends and supports documentation of medical reviews. Pro-actively identifies and resolves medical data review issues as they arise., • Authors medical data queries and reviews query responses, approves query closure in association with Medical Director., • May assist Medical Director in patient profiles review, scientific review of other study level data, protocol deviation review, creation of Medical Review Summary report as needed., • Partners with Medical Directors for medical data review meetings and safety review meetings including slide preparation as needed., • Manages project scope of work, objectives, and quality of deliverables to ensure the project specific milestones and timelines are met. Serves as primary interface between internal team, customers, and vendors in the areas of medical data review and eligibility review., • Collaborates with study team members including Clinical Operations, Data Management, Drug Safety and Pharmacovigilance, and Project Management (set-up and/or lead meetings as appropriate) to identify risks related to data integrity and subject safety. Escalates ongoing and newly developed study concerns such as at-risk project deliverables and out of-scope tasks to the project leads in a timely manner., • Attends and present at Trusted Process meetings and may participate in internal and external audits., • Acquires basic understanding and knowledge of ongoing protocol designs and disease related terminology and pathology., • Adheres to all data privacy guidelines, International Committee on Harmonization (ICH), and Good Clinical Practices (GCPs), all enterprise policies, standard operating procedures, work instructions, and project plans. Adheres to customer policies and standard operating procedures, as required in project plans., • May manage limited number of direct reports. May participate or conduct interviews. At Syneos Health, we believe in providing an environment and culture in which Our People can thrive, develop and advance. We reward and recognize our people by providing valuable benefits and a quality-of-life balance. The benefits for this position may include a company car or car allowance, Health benefits to include Medical, Dental and Vision, Company match 401k, eligibility to participate in Employee Stock Purchase Plan, Eligibility to earn commissions/bonus based on company and individual performance, and flexible paid time off (PTO) and sick time. Because certain states and municipalities have regulated paid sick time requirements, eligibility for paid sick time may vary depending on where you work. Syneos complies with all applicable federal, state, and municipal paid sick time requirements. Salary Range: $79,800.00 - $139,600.00 The base salary range represents the anticipated low and high of the Syneos Health range for this position. Actual salary will vary based on various factors such as the candidate's qualifications, skills, competencies, and proficiency for the role. Get to know Syneos Health Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients. No matter what your role is, you'll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health. Additional Information Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.

Job Summary Solera is seeking a Data Scientist to join our Insights team. You will work with large-scale claims and product engagement data to answer questions that matter to the business: Does our product improve health outcomes? How much does it save? Where are patients disengaging, and why? Your analyses will directly support enterprise sales, inform product decisions, and shape company strategy. You will work closely with our health economics team to design and execute rigorous analyses that demonstrate real-world value to customers. This is a high-impact role on a small team where your work directly influences business outcomes and product direction. You will be mentored directly by the team lead, with increasing ownership as you grow. Key Responsibilities • Execute and contribute to the design of observational studies using claims data (e.g., case-control matching, difference-in-differences, propensity score methods), • Conduct analyses to measure the cost and outcomes impact of Solera's programs, • Investigate product and engagement data to identify patterns, drop-off points, and opportunities to improve outcomes, • Build and maintain analysis and modeling pipelines in Python and Spark for feature engineering, cohort construction, and outcomes measurement, • Contribute to the team's ML products (e.g., risk models, patient matching) through feature development, evaluation, and iteration, • Collaborate cross-functionally with health economics, clinical, product, sales, and engineering teams to interpret results and deliver actionable insights, • Document methodologies and findings clearly enough to withstand external scrutiny, • Work with cloud data infrastructure (BigQuery, GCS, Dataproc) to query, transform, and analyze large datasets Education & Experience • Bachelor's degree in Computer Science, Data Science, Statistics, Biostatistics, Mathematics, or a related quantitative field (required), • Master's degree in Biostatistics, Statistics, or a related discipline strongly preferred — or a CS/Data Science degree with significant coursework in statistics, causal inference, and study design, • 1-3 years of professional experience in data science, statistical analysis, or quantitative research (graduate research, thesis work, or internships count), • Strong foundation in statistical methods: regression, hypothesis testing, study design, • Familiarity with causal inference concepts and when they apply — through coursework, research, or professional experience, • Ability to assess data quality, identify inconsistencies, and understand how upstream issues affect downstream results, • Python and SQL proficiency — you will build and maintain analysis pipelines, not just run ad-hoc queries. We will train you on our stack (PySpark, BigQuery, GCS), but you should be comfortable writing and reviewing code in a collaborative engineering environment. Preferred Qualifications • Experience working with messy, real-world datasets (healthcare claims, EHR, insurance, government/public-use data, etc.), • Familiarity with healthcare data concepts (diagnosis codes, episode grouping, cost metrics, FHIR), • Experience with machine learning (scikit-learn, PyTorch, Spark ML, or similar), • Experience with survival analysis or longitudinal data methods, • Exposure to health economics, health services research, or outcomes research — through coursework, research, or industry experience, • Comfort using AI tools to improve productivity (e.g., Claude, Cursor) Core Attributes • Attention to detail: You validate results against expectations and don't hand off work you haven't double-checked., • Eagerness to learn: You seek out what you don't know rather than waiting to be taught., • Reliability: You follow through on commitments and communicate early when things aren't going as planned., • Curiosity: You want to understand the problem, not just complete the task. You ask why, dig into unexpected results, and aren't satisfied with an answer that doesn't make sense., • Communication: You can explain your methodology and results clearly to both technical and non-technical audiences. Location • This is a remote position based in the United States What We Offer • Competitive salary, • Comprehensive medical, dental, and vision coverage starting Day One, • Flexible time off beyond standard company holidays, • 401(k) with company match and financial wellness resources, • Generous parental leave and adoption assistance, • Remote-first work culture with team events and community building, • Phone stipend and wellness perks (Fitbit, fitness/mental health app access) Work Authorization Applicants must be currently authorized to work in the United States on a full-time basis. Solera Health is not able to sponsor or transfer employment visas for this position. Disclaimer: The information contained herein is not intended to be an all-inclusive list of the duties and responsibilities of the job, nor are they intended to be an all-inclusive list of the skills and abilities required to do the job. Management may, at its discretion, assign or reassign duties and responsibilities to this job at any time. Solera Health provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, Solera Health complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. 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.

The Staff Scientist will prepare grant applications and other scientific communication materials on a wide range of genomic research topics. This role is deeply immersed in the science of NYGC and supports our research team in building and expanding a successful, independently-funded research base. They collaborate with diverse teams of students, postdoctoral fellows, and principal investigators, and relates scientific and strategic goals to individual grant opportunities and other research communications vehicles. Typical grants include individual investigator, multi-PI and research center grants. Key Responsibilities • Takes a lead role in preparation and project management of individual and multi-investigator proposals;, • Manages the scientific writing process, including proposal management, team-building and coordination; establishing timelines and deliverables;, • Provides draft preparation, review and revision of grants and scientific writing., • Coordinates with and supports Sponsored Research staff to ensure timely, accurate application submission., • Edits manuscripts, fellowship applications, research progress reports, clinical research protocols and other research communications materials., • Interacts with lab members to independently develop new grant proposals., • Organizes small group meetings with lab members to review project progress, plan experiments, and integrate team data., • Assists in the design and planning of functional genomics and genetic perturbation experiments; and,, • Exceptional written communication skills required to prepare and edit competitive grant applications, publications, administrative materials, and other research communications;, • Ability to grasp complicated technical subjects, synthesize diverse lines of evidence and apply these abilities to technical writing required;, • Experience handling the scientific writing and project management process for multi-investigator and institutional grant applications strongly preferred;, • Experience with standard grant development concepts, practices, and procedures in a research environment preferred;, • Applied statistics background required, to perform power calculations and develop quantitative metrics for genomic assays;, • Ability to collaborate with diverse teams of investigators and administrative personnel required; and,, • Technical and Professional Skills: Consistently demonstrates skills and knowledge relevant for current role; strives to expand the depth and breadth of technical and professional skills; works with a high level of integrity; exhibits focus and discipline; appropriately prioritizes, manages expectations, and delivers on commitments., • Collaborative & Communicative: Models collaboration and teamwork; brings out the best in others; effectively works with all levels, internally and externally; respects and embraces diversity of perspective; communicates clearly and listens carefully; uses good judgment as to what to communicate and when to do so. The salary range for this position is $62,000-78,000 per year. Base pay offered may vary depending on job-related knowledge, skills, and experience. In addition, NYGC offers a full range of medical, financial, and other benefits as well as generous time off. About the New York Genome Center The New York Genome Center (NYGC) is an independent, nonprofit, academic research organization dedicated to advancing genomic research. NYGC scientists and staff are furthering new approaches to diagnosing and treating neurological diseases and cancer through their unique capabilities in whole genome sequencing, RNA sequencing, state-of-the art analytics, and the development of genomic tools. NYGC concentrates specifically on disease-based research in the following areas: neuropsychiatric disease (autism, schizophrenia, bipolar); neurodegenerative disease (ALS, Alzheimer's, Parkinson's, Huntington's), and cancer. Located in Lower Manhattan, the New York Genome Center was founded by and remains closely affiliated with the leading academic medical centers and research universities in the New York region, engaging in research projects with and for these institutions. Essential to our collaborative work is an outstanding faculty, whose members typically hold a joint appointment at NYGC and a partner university. They support our scientific mission by conducting independent research in areas of mutual interest to us and the wider scientific community. Equal Opportunity We are committed to fostering a workplace environment that is welcoming and fair to all, ensuring that every employee has the opportunity to thrive. We believe that bringing together individuals with diverse backgrounds, experiences, and perspectives leads to greater collaboration, innovation, and discovery. Valuing and supporting each employee in reaching their full potential strengthens our organization and enhances our collective success. We recognize that creating an environment where all employees feel valued and included requires sustained effort and dedication from the entire organization. The New York Genome Center is a VEVRAA Federal Contractor. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, creed, color, gender, religion, national origin, sexual orientation, age, disability, genetic predisposition or carrier status, protected veteran or military status, domestic violence victim status, partnership status, caregiver status, alienage or citizenship status, marital status, or any other characteristic protected by applicable law. NYGC takes affirmative action in support of its policy to hire and advance in employment individuals who are protected veterans and individuals with disabilities. FLSA Status - Exempt This position is eligible for visa sponsorship and relocation assistance.

As the leading data and evaluation partner for frontier AI companies, Scale is dedicated to advancing the evaluation and benchmarking of large language models (LLMs). We are building industry-leading LLM evals, setting new standards for model performance assessment. Our mission is to develop rigorous, scalable, and fair evaluation methodologies to drive the next generation of AI capabilities. Our Research teams work with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research. As a Staff Machine Learning Research Scientist on the LLM Evals team, you will lead the development of novel evaluation methodologies, metrics, and benchmarks to measure the capabilities and limitations of frontier LLMs. You will help define what "good" looks like in generative AI, driving research that informs both our internal roadmap and the broader research community. This role is critical for designing and executing a roadmap that defines best practices in data driven AI development and will accelerate the next generation of generative AI models in partnership with top foundational model labs. • Drive research on the effectiveness and limitations of existing LLM evaluation techniques., • Design and develop novel evaluation benchmarks for large language models, covering areas such as instruction following, factuality, robustness, and fairness., • Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects., • Collaborate with internal teams and external partners to refine metrics and create standardized evaluation protocols., • Implement scalable and reproducible evaluation pipelines using modern ML frameworks., • Publish research findings in top-tier AI conferences and contribute to open-source benchmarking initiatives., • Mentor and guide research scientists and engineers, providing technical leadership across cross-functional projects., • Stay deeply engaged with the ML research community, tracking emerging work and contributing to the advancement of LLM evaluation science., • Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results., • 5+ years of hands-on experience in large language model, NLP, and Transformer modeling, in the setting of both research and engineering development, • Experience and track of recording in landing major research impacts in a fast-paced environment, • Experience tech leading a team of research scientists and research engineers, • Excellent written and verbal communication skills, • Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Job Summary Are you passionate about applying science and innovation to create impactful fragrance solutions for products people use every day? IFF is a global leader in flavors, fragrances, food ingredients and health & biosciences. We deliver sustainable innovations that elevate everyday products. Scent: Harnessing the full emotional power of scent, driven by pioneering creativity, science, consumer expertise and a mindful approach to fragrance design. The role is based in New York, NY. You will join a customer-focused, innovative, and collaborative team where together we strive to exceed expectations and make a real impact. Your potential is our inspiration. As a Senior Scientist - Body Care, you will manage and deliver technical projects within the Body Care category, acting as a strong technical partner to both internal teams and customers. You will apply IFF fragrance technologies to create high-performing, stable, and innovative solutions that meet consumer needs and support commercial success. • Lead and manage technical projects for the Body Care category from concept through execution, • Provide technical expertise on fragrance performance, stability, and formulation, • Partner with Integrated Creative & Development (IC&D), Commercial, Operations, and Global Regulatory Affairs teams, • Build strong technical partnerships with customer development teams, • Apply and adapt IFF fragrance technologies to deliver value-to-market solutions, • Promote IFF tools, innovations, and capabilities to customers, • Uphold laboratory safety, data management, and documentation standards, • Contribute technical insights to category strategy and innovation pipelines, • Advanced scientific background in fragrance, formulation science, or a related discipline, • Experience leading complex technical or scientific projects, • Understanding of regulatory, sustainability, and supply chain constraints, • Knowledge of consumer and market trends in Body Care, • Ability to collaborate across multidisciplinary teams, • Strong customer-facing and presentation skills, • Proven project management and prioritization capabilities, • Commitment to continuous learning and development, • Customer-facing technical partnership experience, • Awareness of competitor technologies and intellectual property landscape, • Passion for innovation and technology deployment, • Opportunity to work on innovative fragrance technologies, • Exposure to global customers and cross-regional projects, • Inclusive and supportive work environment, • Continuous learning and development opportunities, • Collaborative, team-oriented culture We are a global leader in taste, scent, and nutrition, offering our customers a broader range of natural solutions and accelerating our growth strategy. At IFF, we believe that your uniqueness unleashes our potential. We value the diverse mosaic of the ethnicity, national origin, race, age, sex, or veteran status. We strive for an inclusive workplace that allows each of our colleagues to bring their authentic self to work regardless of their religion, gender identity & expression, sexual orientation, or disability. Visit ___ to learn more Salary Ranges: $98736- $123420

Role: ML/AI Engineers (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. What You’ll Bring Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data Engineering background, especially in one of the major clouds. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. 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

Amentum is actively seeking applicants for Associate Scientist 1 Position Location: New York Amentum Position Description: The Associate Scientist 1 shall perform, at a minimum, the following tasks and responsibilities in accordance with standard operating procedures: Must be able to obtain/maintain a DHS Suitability security clearance * Handling, receipt, and processing of daily operational, Quality Assurance, verification and proficiency test samples potentially containing biological threat agents. * Receiving samples may require extended walking to/from laboratory areas and up and/or down several flights of stairs. * Samples may require being transferred from one area/cart/cooler to another, requiring staff to lift ~50-60 lbs. * Processing samples requires more than one (1) hour, but typically not to exceed four (4) hours, of repetitive motion (e.g. twisting/cutting/pipetting/gripping) on a regular, if not daily, basis. * Performing non-research biological science work utilizing microbiological and molecular techniques, which currently includes DNA extraction and real-time polymerase chain reaction (real-time PCR) to identify and characterize pathogenic bacterial and viral agents (analytical methods and technologies may change over the life of the contract). * Laboratory workflow may occur in different laboratory areas (e.g., clean, high and low titer, under different conditions, such as BSL-2/BSL-3), utilizing a variety of biological safety cabinets (BSCs), and/or hoods (e.g., laminar or dead air). * Laboratory work may require several PPE changes including, but not limited to, respiratory and full body protection (e.g., Tyvek suit) and gloves, for extended periods of time, not to exceed four (4) hours. * Preparing reagents and samples - same as above * Familiarity with Good Laboratory Practice (GLP) * Decontamination of workspaces, including Biological safety cabinets, hoods/air boxes, equipment, and other items associated with processing and analysis activities. * Necessitates decontamination of several rooms requiring extensive use of bleach and alcohol. For safety, proper PPE is required. * Maintaining chain-of-custody (CoC) * Interpretation of results - must be capable of independent analysis * Data entry utilizing computerized or computer-linked systems * Performing routine equipment calibration, cleaning, assembly, and maintenance in multiple lab areas * Collecting, processing, and analyzing internal laboratory swipes/swabs for Quality Assurance/Quality Control (QA/QC) and contamination monitoring located across multiple lab areas * Proper disposal of bio-hazardous waste. * o May require lifting, stooping, reaching, carrying, and/or storing biohazard waste of different sizes and/or weights up to 40 lbs. o May require collecting multiple bags from BSL-2/BSL-3 areas and loading and unloading the autoclave machine when completed. For safety, proper PPE is required. * Restocking and maintaining proper inventory (e.g., par levels, rotation of stock, expiration dates, et.,) of necessary supplies. * May require lifting, stooping, reaching, carrying, and/or storing consumables, supplies, and/or equipment of various sizes, shapes, and/or weights up to 70 lbs. * Supporting BioWatch Program logistics in conducting and documenting annual inventory (e.g. serial numbers, disposition, PO’s, packing slips, etc.) of DHS-procured durable equipment and property. * May require lifting, stooping, reaching, carrying, and/or transporting equipment and/or instruments to/from different laboratory areas and/or packaging instruments for service * QA/QC and acceptance testing of reagents in accordance with applicable Standard Operating Procedures (SOPs) and the Laboratory Operations Quality Assurance Program Plan (QAPP) * Adhering to QA/QC requirements in accordance with the Public Health Laboratory quality management systems and the BioWatch Laboratory Operations (QAPP) * Maintaining documentation of records demonstrating compliance with applicable training/retraining, competencies, document reviews * Analyzing routine external QA samples in accordance with the BioWatch SOP’s and QA Program guidance * Proper archiving, storage, and shipping of samples. * May require lifting, stooping, carrying, and/or storing of sample archives of varying sizes and weights up to 40lbs. * Demonstrating ability to follow and adhere to written procedures and accepted practices in accordance with federal, state, and local regulations, safety, security and dress code policies, procedures, and guidelines, including DHS Safeguarding Sensitive but Unclassified (For Official Use Only) Information (January 2005) when visiting or working at Government facilities * Preparing written and oral technical reports, answering questions, and making recommendations to the Lead Biological Scientist for inclusion in comprehensive reports * Accurately performing work with confidence * Demonstrating competency in various testing methodologies (e.g., multi-center studies), evaluating potential products and processes against unique environmental backgrounds, and meeting established deadlines * Scheduled workdays include weekends and holidays * Must be present for all hours of the workday, and be available 24/7/365 in case of emergency Position Minimum Requirements/Qualifications: * Minimum of a Bachelor’s degree from an accredited university in microbiology, molecular biology, or related course work in biological sciences, and at least one (1) year of laboratory bench experience outside of an academic environment, utilizing PCR, aseptic techniques, and biological assays. * Biological Safety Level (BSL)-3 experience is desirable. Compensation Details: $64,000-$66,000 The compensation range or hourly rate listed for this position is provided as a good-faith estimate of what the company intends to offer for this role at the time this posting was issued. Actual compensation may vary based on factors such as job responsibilities, education, experience, skills, internal equity, market data, applicable collective bargaining agreements, and relevant laws. Benefits Overview: Our health and welfare benefits are designed to support you and your priorities. Offerings include: * Health, dental, and vision insurance * Paid time off and holidays * Retirement benefits (including 401(k) matching) * Educational reimbursement * Parental leave * Employee stock purchase plan * Tax-saving options * Disability and life insurance * Pet insurance Note: Benefits may vary based on employment type, location, and applicable agreements. Positions governed by a Collective Bargaining Agreement (CBA), the McNamara-O'Hara Service Contract Act (SCA), or other employment contracts may include different provisions/benefits. Original Posting: 05/06/2026 - Until Filled Amentum anticipates this job requisition will remain open for at least three days, with a closing date no earlier than three days after the original posting. This timeline may change based on business needs. Amentum is proud to be an Equal Opportunity Employer. Our hiring practices provide equal opportunity for employment without regard to race, sex, sexual orientation, pregnancy (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, ancestry, United States military or veteran status, color, religion, creed, marital or domestic partner status, medical condition, genetic information, national origin, citizenship status, low-income status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law. Learn more about your rights under Federal laws and supplemental language at ___.

A leading analytics consulting firm is looking for a Principal Decision Scientist to lead the development of machine learning solutions.This role involves defining business objectives, managing client relationships, and developing technical solutions that utilize data science, AI, and automation.The

Strong proficiency in Python, SQL, and software engineering principles.

Own code quality, review processes, and engineering best practices. Senior Data Scientist/Lead AI Engineer. Collaboration: Works effectively across teams and contributes to a strong engineering culture.

Senior Lead, Principal Data Scientist / Associate Director - Data Science. Work closely with cross‑functional teams, including data scientists, data engineers, product managers, and business experts to ensure smooth development of RGM models and translate outcomes to business stakeholders. Princip

The National African-American Insurance Association (NAAIA) is seeking a Lead Data Scientist in New York City.

Senior Lead, Principal Data Scientist / Associate Director - Data Science. Work closely with cross‑functional teams, including data scientists, data engineers and product managers and business experts to ensure the smooth development of RGM models and translate outcomes to business stakeholders. P

A global luxury brand is seeking a Senior Data Scientist – Analytics and AI Data to lead its data initiatives in New York City. Candidates must have 3+ years of experience in data science or analytics, proficiency in Python and SQL, and experience with tools like Google BigQuery and Dataiku.

Work with Research, Engineering & Data Science teams across Tempus' expansive data science community to develop and deliver innovative computational solutions. The Senior Scientist II, Applied Machine Learning and Agentic AI will lead the technical development of cutting‑edge agentic frameworks de

A global consulting firm is seeking a Data Scientist – Director to lead AI solutions development and enhance data integration for strategic growth.This role involves collaboration with business leaders and focuses on pipeline design and data quality, requiring strong SQL and programming skills.Can

Principal Data Scientist in New York to lead advanced analytics solutions across the Product-to-Market space. The role involves optimizing retail supply chain challenges, collaborating with cross-functional teams, and mentoring fellow data scientists.

As a Principal Data Scientist at Walmart, you will lead the development and deployment of advanced analytical models leveraging sophisticated techniques such as Double Machine Learning and Causal Modeling, you will generate robust, data-driven insights that inform strategic decision-making and drive

As a Lead Data Scientist, you are primarily responsible for managing technical projects, including data engineering, model selection and design, and infrastructure deployment in both internal and client environments. Working with Partners and Principals to shape proposals that leverage our data scie

A major retail corporation in Hoboken is seeking a Principal Data Scientist. The role involves leading advanced analytical model development and collaborating across functions to influence decision-making.

A leading global financial services provider seeks a Data Scientist to drive the Anti-Money Laundering (AML) Transaction Monitoring data strategy in New York. The role involves developing reporting statistics, interpreting data quality, and collaborating with business partners. Ideal candidates will

A leading analytics firm is seeking a Principal Data Scientist for commercial analytics based in New Jersey.The candidate will lead client-facing projects, guide offshore teams, and drive data science solutions.Key qualifications include 8-12 years of experience, expertise in machine learning and st

A global professional services firm is seeking a Data Scientist Director to lead the development of data pipelines and collaborate with top executives. The firm offers a competitive salary, flexibility, and a diverse working environment. The ideal candidate has at least 5 years of experience in data

A leading financial services firm in New York is seeking a Data Scientist Lead, Vice President, to drive data solutions that enhance customer experiences.The role involves automating analyses, conducting quantitative studies, and applying machine learning techniques.The ideal candidate will have str

As a Principal Data Scientist, you will lead the design and delivery of machine learning solutions that power personalization and ad targeting across VIZIO. Provide technical mentorship and guidance to other data scientists through reviews, collaboration, and hands‑on problem solving. Enjoy raisin

A tech-driven pharmaceutical company is seeking a Principal Data Scientist who will lead initiatives impacting drug development through AI and advanced analytics.

A leading global media company is seeking a Senior Data Scientist to lead the development of advanced data models.

The Staff Scientist will drive computational analysis of high‑dimensional datasets, partnering closely with a well‑integrated computational‑experimental team to generate biological insights from complex genomic data. We are seeking a highly motivated Staff Scientist to lead and support the ana

A leading data-focused company is seeking a Director, Data Scientist specializing in Generative AI Systems in New York, NY. The ideal candidate will lead cross-functional teams to develop AI-powered products that transform customer financial interactions. Responsibilities also include building scala

We lead the full data lifecycle from sourcing new data, designing and implementing features pipelines, to providing support to our data users across the business. Director, Data Scientist - External Data Strategy. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the ne

Job Description About you: Are you interested in expanding a career in digital marketing? The WITHIN team is growing, and we're hiring for Digital Media Strategists who are willing to take the lead across multiple digital marketing channels to meet goals at the intersection of performance and branding. This is a unique opportunity in a rapidly expanding company. This role requires hands-on paid media experience (Meta, Google Ads, etc.) focused on driving conversions, revenue, or ROAS. This means managing and optimizing ad spend—not organic social, content, or engagement. If you haven't directly managed budget in paid channels, please apply to our Digital Media Buyer role instead. Responsibilities will include and are definitely not limited to: • Working with a portfolio of clients, • Optimizing account performance using data insights, A/B testing, and consumer research, • Client communication (written & verbal), • Working across multiple teams to design and execute marketing strategies that align with client goals and business objectives, • Producing meaningful marketing KPI dashboards and delivering cross channel performance reports with actionable insight, • Analyzing cross-channel performance data and extracting actionable insights, • Note, This is not a data scientist or analyst role, but the role does work regularly with data, including basic analyses & projections, • Implementing proprietary technology and best practices, • Delivering creative & copy recommendations to clients based on historical performance, • At least 1–2 years of experience in Digital Marketing, preferably Facebook & Google Ads, is REQUIRED., • Please see here for our opening for the role that does not require any prior experience, • Bachelor's Degree or equivalent experience, • General business acumen, • Desire to work in a deadline-oriented environment, • Interest in pursuing a career in performance oriented digital marketing, • Working knowledge of Excel (conditional statements, pivot tables and vlookups), • Cognitive Aptitude and Typing Test, • Unlimited vacation policy, • Monthly Phone Stipend, • Comprehensive Medical, Dental, and Vision insurance options, • 401(K) plan with matching, • Dog friendly office, • Hybrid work opportunity, • Professional Development Program, • Level 1 - $50,400-$57,920, • Possesses essential capabilities., • Level 2 - $57,920-$65,440, • Possesses developing capabilities., • Level 3 - $65,440 - $72,960, • Possesses notable capabilities., • Level 4 - $72,960-$80,480, • Possesses strong capabilities., • Level 5 - $80,480-$88,000, • Possesses advanced capabilities. About WITHIN WITHIN is the world's first Performance Branding company, partnering with some of the biggest brands in the world to drive business growth through innovative marketing strategies. Our integrated operating model collapses the traditional marketing silos between creative and media, performance and brand, and across media channels. With a full suite of offerings including media, creative, SEO, Lifecycle, Retail Media, Affiliate and Influencer, we're able to work with our brand partners in an integrated fashion, allowing us to align marketing strategies back to core business objectives. Client teams at WITHIN are trained on how to always act as a trusted business partner, acting as a fiduciary to client needs above our own. Teams at WITHIN have the ability to work with iconic brands such as The North Face, Timberland, Ben and Jerry's and Jose Cuervo. Everyone at WITHIN wants to grow and be challenged. It's a collaborative place made up of small, closely knit and versatile teams that are fast and adaptive to solve problems and build systems. Check out some of our work! We weave AI into everything we do, using the latest tech across all teams to innovate, work smarter, and make better decisions. Whether it's in creative, operations, or anything else, AI helps us level up and do things at a whole new scale. We expect our people to use AI in their daily work, fully embracing it as a critical tool to help us succeed. Join Our Network! Stay connected with us and be the first to know about new opportunities, industry insights, and updates. Follow us on: • LinkedIn, • WhatsApp Community, • Instagram, • New York City: 43-01 22nd St, Suite 602, Queens, NY 11101, United States, • Bogotá: WeWork Av. Carrera 19 #100-45 Usaquén, Piso (Floor) 10, Bogotá, Distrito Capital de Bogotá 110111, Colombia, • Mexico City: Av. Insurgentes Sur 1082, Piso (Floor) 2, Oficina 2008, Ciudad de México, CDMX 03100, México

The role requires extensive experience in data analysis, agentic ai, statistical modeling, machine learning, and data visualization, as well as the ability to lead a team of data scientists and collaborate with cross-functional teams. A Lead Data Scientist is responsible for designing and implementi

As the data science team and offerings continue to scale, the Lead Data Scientist will have the opportunity to evolve into a Director of Data Science role, taking on increased responsibility for practice strategy, roadmap and executive-level engagement based on demonstrated impact and leadership. Th

Gritter Francona is looking for a Lead Data Scientist to help support a potential project to assist this objective. The Office of Clinical Informatics within the Office of Health Informatics (OHI), Digital Health Office (DHO) advances the enterprise standard of care and patient experience using impr

We are seeking a Lead Data Scientist with 8+ years of experience to drive advanced analytics, machine learning initiatives, and data‑driven decision‑making across our fintech/banking product ecosystem. Job Description: Lead Data Scientist (Fintech / Banking). Lead, mentor, and grow a team of 5��

We are seeking a Lead Data Scientist to guide the strategic decisions and the development of reliable, interpretable, and steerable AI systems. Join our rapidly expanding team of dedicated data scientists, engineers, policy experts, and business leaders as we work together to build impactful and ben

The Payments I&M team, comprised of data scientists, design strategists, and business leaders, crafts data products that transform business operations. As a Data Scientist Lead, Vice President on the Payments Instrumentation and Metrics Analytics team, you will be at the forefront of developing data

Oliver Wyman is looking for a Lead Data Scientist in New York, NY. You will lead technical projects involving data engineering and model deployment, collaborate with various teams, and engage directly with clients. The ideal candidate has a strong background in data science with expertise in Python

Experience developing models from inception to deployment 5-10 years of professional work experience with at least 5 years in Data Science. Work on the latest applications of data science to solve business problems. Implement Document Intelligence solutions for extracting insights from unstructured

Data Storytelling: Translate complex statistical findings into compelling presentations and client-ready reports for both technical and non-technical leadership. Data Proficiency: Extensive experience working with complex EHR and healthcare claims data. Communication: Exceptional ability to synthesi

Perform energy data collection, analysis, and reporting to track performance against established goals. Proficiency in energy data analysis tools and benchmarking platforms such as ENERGY STAR Portfolio Manager.