Data Scientist Location New York City Employment Type Full time Location Type Hybrid Department Customer Success Compensation $160K – $190K; Offers Equity Base salary is just one part of the total compensation package and is determined by factors such as leveling, market location, skills, experience, and other considerations. Imagine having the power to stress-test an entire power grid against a hurricane or thunderstorm before the clouds even gather. That is the reality we are creating at Neara. We use advanced machine learning to create engineering-grade, physics enabled digital twins of electricity grids across four continents, this helps asset owners understand their biggest challenges and bring the most viable solutions to life across millions of kilometres of infrastructure. By simulating extreme weather and structural stress at a network-wide scale, we empower the world’s largest utilities to pinpoint risks, optimise investments and build a more resilient global energy future. Our team is a collection of brilliant minds who are fanatical about making a tangible difference in the real world, utilising AI and machine learning to accelerate everything from data classification to complex scenario analysis. We have built a special culture where innovation thrives because everyone owns the mission and we need smart, creative people to help us scale this impact to every corner of the globe. Data Scientist As a Data Scientist, you will analyze a rich array of real-world data to inform our digital twin model of the electric grid, including topography, LIDAR, imagery, vegetation, structural loading, and electrical connectivity. Your work will drive product direction with high visibility, highlight grid expansion opportunities, identify aging and risky infrastructure, and help our customers understand where to build and invest. Working alongside ML Engineers and product-facing engineering teams, your ideas will ultimately take shape as new product features that expand what Neara is capable of doing, and as new infrastructure buildouts for the energy grid itself. What You Will Do: - Model accurate digital twin electric networks from imperfect data using AI, deep learning, and classical ML algorithms. - Surface meaningful analytics and metrics such as wildfire risk that help guide customer buildout of electrical infrastructure. - Advise the company on what our data says and use that understanding to inform Neara’s strategy. - Conduct experiments and A/B tests to improve our modeling of the grid. - QA and improve our predictive models; identify data issues such as distribution drift, overfitting, or test set leakage. - Craft scalable data pipelines to work with a variety of data sources, including LiDAR, aerial photography, photogrammetry and GIS. - Mentor others in best practices for model training, data analytics, and building data-driven products. Who You Are: - A data scientist, ML scientist, or similar with 3-6 years of experience at technical, data-driven companies operating in complex environments. Geospatial data or power grid experience are a plus. - You have a strong intuition for data with good communication skills and experience sharing your findings with customers and senior leaders. - Demonstrated experience with AI and Machine Learning and a keen intuition for data modeling. - Experience translating your models into both experiments and deployable software. - Proficiency in data storage and ETL technologies, such as Parquet, Databricks, Snowflake, PostgreSQL, Spark, and DynamoDB. - Comfort working in an AWS cloud environment. - Excellent problem-solving skills as applied to new domains. - Ability to work effectively asynchronously and cross-functionally on novel, cutting-edge problems. - Ability to own problems and proactively approach challenges. - Prior experience in the energy industry is a plus. What We Offer: - Work with a sophisticated, multi-modal data stack, including LiDAR, satellite imagery, and physics-enabled digital twins, to solve high-stakes engineering problems that most data scientists only see in theory. - Your models will directly prevent wildfires and mitigate disaster risks across millions of kilometers of infrastructure, moving beyond "digital metrics" to harden the real-world energy grid. - You won't just build models; you’ll advise the company on data strategy and see your experiments evolve into core product features that dictate how the world’s largest utilities invest. - We offer a highly competitive compensation package with a significant equity component, ensuring you are a true stakeholder in our mission and benefit directly from the company’s rapid global scale.

Senior Scientist I - Biocompatibility, Tissue Material Sciences Branchburg, NJ, USA Employees work in a hybrid mode; Tuesday, Wednesday, Thursday: required on-site in Branchburg Full-time Salary Min: 96500 Salary Max: 183500 Workday Global Grade: 17 Compensation: USD 96,500 - USD 183,500 - yearly Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube. Job Description The Sr Scientist I - Biocompatibility is an SME who will support biocompatibility evaluation requests related to marketed products for AbbVie global medical devices.  This includes interfacing with AbbVie manufacturing site change requestors to lead change control activities, organize timely assessments with the biocompatibility team, ensure related documentation regulatory compliance and completion of assessments in change control platforms.  This role requires expertise in ISO 10993, medical device regulations, and formal change control processes/platforms, with a strong focus on technical writing, controlled documentation. In addition, this individual will be responsible for creation (with minimal supervision) and delivery of biocompatibility training and continuing education for internal stakeholders. Must possess knowledge of ISO-10993 Standards and quality management systems, with prior experience working in in marketed product support for medical devices. The position will be responsible for global cross-functional and cross-site collaborations primarily among the manufacturing sites and related product lifecycle functions. Additional support for projects in development for biocompatibility activities is a responsibility of this role. Responsibilities - Change Control: - Support for on-market products, including global change-control activities as they relate to biocompatibility. Build and maintain strong connections/relationships with cross-functional change control requestors at global manufacturing sites. - Demonstrated experience with review and evaluation of changes through formal change control systems for biocompatibility impact. - Hold recurring change control meetings with the sites to ensure changes are being assessed with agility. - Function as Subject Matter Expert for biocompatibility assessment with minimal supervision - Regulatory Compliance: - Lead change plans for ISO 10993 gap assessments for the organization, liaising with product sites for impact assessments. - Review and triage departmental (Dev. Sci.) impact assessment notifications. - Have knowledge on how to support notified body and internal audits, inspections, with respect to ISO 10993 compliance and documentation. - Maintain knowledge of medical device regulations to assure compliance and conformance of programs for evaluation of medical devices.  - Training: - Prepare and deliver technical presentations to internal and external stakeholders and teams related to biocompatibility, change control, and documentation practices. - Assist the biocompatibility team in development of functional training initiatives. - Create a recurring training schedule for biocompatibility and change control - Project Support: - Provide skilled technical knowledge to support cross-functional project - Biocompatibility resource for projects when required. - Interface with CRO’s for project support initiatives  - Works closely with Biocompatibility Team and AbbVie device project teams to generate documentation for regulatory submissions and support regulatory responses. Qualifications - Bachelor’s Degree or equivalent education and typically 10 years of experience, Master’s Degree or equivalent education and typically 8 years of experience, PhD with up to 4 years experience. - Medical device, pharmaceutical or related experience or experience in a regulated environment with a proven record of success supporting marketed products is preferred, including change control processes. - Significant experience and knowledge of medical devices and combination product regulations. - Strong technical writing and verbal communication skills; ability to communicate complex technical information in a clear and easy-to-understand way (both verbally and in writing). - Strong training and education experience. - Knowledge of ISO-10993 Standards, FDA Guidance and Regulations, and Animal Welfare Regulations. - Demonstrate critical thinking and problem-solving skills, including analysis and presentation of data. - Highly self-motivated  and proactive; ability to execute with minimal supervision and direction. Can work independently or part of a team. - Author internal documentation, including procedures and work instructions. - Knowledge of Good Documentation Practices, maintain accurate documentation & related record retention documentation. - Knowledge of Good Laboratory Practices (21 CFR, Part 58) and ISO-10993 standards . - Proficient in required software change management platforms, Electronic Data Management Systems, and the Microsoft suite of programs. - Possess thorough theoretical and practical understanding of own scientific discipline. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​ - The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at  the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors  including  geographic location, and we may ultimately  pay more or less than the posted range. This range may be  modified in the future. ​ - We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​ - This job is eligible to  participate in our short-term incentive programs.  Note: No amount of pay is  considered to be wages or compensation until such amount is earned,  vested,  and determinable. The amount and availability of  any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a   particular employee  remains in the Company's sole and absolute discretion unless and until paid and may be  modified at the Company’s sole and absolute discretion,  consistent with applicable law.

Senior Data Scientist locations Remote USA time type Full time job requisition id JR100171 Department: Technology Reports to: VP, Data Travel: <10% Salary Range: $99,800 - $132,300 Position Overview: The Senior Data Scientist is a hands-on analytical role responsible for building, deploying, and maintaining models and reports that drive evidence-based decision-making across Vibrant&rsquo;s programs and operations. This role supports the full data science lifecycle&mdash;from exploratory analysis and model development through deployment, monitoring, and stakeholder communication. The ideal candidate is technically strong, communicates clearly with non-technical audiences, and is motivated by the opportunity to apply data science in service of mental health and crisis care. Duties/Responsibilities: - Design, develop, validate, and deploy predictive models and analytical reports that address core business and programmatic objectives. - Ensure models and reports are explainable, well-documented, and accompanied by clear articulation of assumptions, opportunities, and limitations. - Monitor deployed models for data drift, performance degradation, and quality issues; lead remediation efforts as needed. - Translate complex analytical findings into accessible insights for program staff, leadership, and external partners. - Champion data literacy across the organization&mdash;partnering with business users to build understanding of how models and reports inform Vibrant&rsquo;s work. - Develop and deliver training materials and workshops on data literacy, analytical thinking, and model interpretation. - Collaborate with data engineers and analytics teams to ensure data pipelines and infrastructure meet modeling and reporting needs. - Apply statistical and machine learning methods rigorously&mdash;selecting appropriate techniques, validating assumptions, and assessing uncertainty. - Contribute to Vibrant&rsquo;s data science infrastructure, including model registries, version control, and deployment pipelines on AWS. - Support ad hoc analytical requests from program and operational teams. - Additional duties as assigned. Required Skills/Abilities: - Strong proficiency in Python and/or R for data analysis, modeling, and reporting; familiarity with relevant libraries (scikit-learn, pandas, tidyverse, etc.) - Experience with model development, validation, deployment, and ongoing quality control in a production environment. - Hands-on experience with AWS data science services, including SageMaker for model training and deployment. - Advanced statistical knowledge&mdash;including regression, classification, clustering, causal inference, and experimental design. - Experience working with large, complex datasets in cloud-based data warehouse environments (Redshift, Snowflake, or similar). - Excellent written and verbal communication skills&mdash;able to present findings clearly to technical and non-technical audiences alike. - Strong analytical curiosity, attention to detail, and ability to work independently on ambiguous problems. - High level of influencing ability. Required Qualifications: - Bachelor&rsquo;s or Master&rsquo;s degree in a quantitative discipline (statistics, computer science, epidemiology, public health, applied mathematics, or related field), or equivalent applied experience. - 4+ years of applied data science experience, including AI/ML model development and code-based analysis and reporting. - Experience in public health, behavioral health, social services, or a mission-driven organization a strong plus. - Prior experience as a team lead or similar helpful. - Familiarity with equity-centered data practices and considerations for algorithmic fairness a plus. Physical Requirements: - Must be able to remain in a stationary position 50% of the time. - Will constantly operate a computer and other office productivity machinery, such as a calculator, copy machine, and computer printer. - Will frequently communicate over video calls with internal and external stakeholders. We determine base pay through a comprehensive review of skills, experience, education, certifications, geographic location, and other relevant factors. The range listed reflects the compensation parameters for the role and does not represent the full compensation package. A complete overview of compensation and benefits will be provided by the Talent Acquisition team during the hiring process. Full time employees will be eligible for excellent comprehensive benefits, including medical, dental, vision, supplemental income insurance, employer paid disability insurance, employer paid life insurance, pre-tax FSA for medical and dependent care, and 401K available.

• Build and calibrate change-detection and anomaly models on multi-temporal Sentinel-1/2 imagery over pipeline corridors • Learn per-site "normal terrain" baselines and validate detections against a ground-truth event log (detection rate, lead time, false-positive rate, AUC) • Fine-tune geospatial foundation models (Prithvi-EO / similar) with LoRA/PEFT on limited labelled data • Implement SAR techniques for displacement: amplitude change, coherence, and pixel-offset tracking to measure pipe and dune movement • Develop dune-migration tracking (optical flow / feature tracking), migration direction, and mobility indices • Engineer robust ingestion from Copernicus (CDSE / Sentinel Hub / STAC) and fuse optical, SAR, DEM, and ERA5 wind data • Design labelling strategy (encroachment masks, severity) and a train/validation split that avoids leakage • Communicate results and limitations honestly to technical and business stakeholders.