Python data science jobs in Elizabeth, New JerseyCreate job alerts

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview:Thea Energy is seeking experienced, highly motivated magnet engineers to join its rapidly growing team. The magnet engineering roles will design, build, and test high temperature superconducting (“HTS”) magnets. HTS magnets are foundational components of Thea Energy’s planar coil stellarator, making compact, simpler, and lower-cost fusion systems possible. As part of a rapidly growing team, you’ll be part of the organizational build-up of a leading fusion energy company. These roles will have a high degree of autonomy and must be able to move quickly. The Thea Energy team is comprised of self-motivated, creative, and fun individuals with an excitement for solving complex problems.Key Responsibility Areas: • Rapidly design, build, and test HTS magnets, • Develop specifications for magnets based on system design and performance goals, • Optimize magnet design and run analysis using Multiphysics simulation software (e.g. Ansys EM, Structure, COMSOL, etc.), • Develop design tools, data analysis software, and algorithms using Python or similar, • Incorporate design for manufacturing principles and support first builds, • Produce design specifications and collaborate with vendors to get quotes and deliver hardware that meets qualifications, • Support the implementation of tooling and manufacturing, • Design and execute magnet testing, • Track and report results and progress against program goals and milestones, • Communicate and collaborate with internal and external stakeholdersIdeal Experience & Skillsets:, • Experience with magnets, cryogenics, vacuum systems, or transformer design, • Experience in design using CAD software (e.g. Solidworks, CATIA, NX, etc.), • Experience with Ansys and/or COMSOL, • Experience specifying machining, welding, and fabrication requirements, • Ability to work through and solve highly multidisciplinary engineering problems, • Ability to take initiative, work independently and as part of a team, • Ability to execute and flourish in a fast-paced, rapidly changing environment, • Comfortable working to aggressive deadlines, • Exceptional work ethic, • Strong team member with clear communication and collaboration skills, • Innate desire to learn, innovate, and critique ideas including one’s own, • At least a bachelor’s degree in physics, computer science, electrical engineering, mechanical engineering, materials engineering, or related fields, • Experience with magnetic confinement fusion, aerospace, medical devices, or other highly technical industries is idealCompany Benefits:, • Salary range $85,000-$150,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options, • 20 days PTORequirements:, • Ability to occasionally lift up to 50 lbs., • Ability to perform activities such as typing, standing, or sitting for extended periods of time., • Willingness to occasionally travel or work required nights/weekends/on-call.

Job Title: Data Scientist Duration: 6 Months to hire Location: Newark, NJ Job description: As a Data Scientist supporting U.S. Businesses (USB) Service, Data and Technology organization, you will partner with our diverse team of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians and Actuaries tasked with mining our industry-leading internal data to design, build, and deploy production-grade AI capabilities for our businesses. The role requires a rare combination of sophisticated AI engineering expertise; business acumen; strategic mindset; client relationship skills, problem solving; and a passion for generating business impact. This is an exciting opportunity to be a part of a strategic initiative that is evolving and growing over time! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership demeanor and a continuous learning focus to all that you do. This role is based in our office in Newark, NJ. Our organization follows a hybrid work structure where employees can work remotely and from the office, as needed, based on demands of specific tasks or personal work preferences. This position is hybrid and requires your on-site presence on a reoccurring weekly basis at least 3 days per week. Here is what you can expect in a typical day: • Responsible for the hands-on design and development of production-grade GenAI and Agentic solutions comprising the portfolio developed by the Data Science Lead and the technical requirements specified. Perform hands-on context engineering, agent design, model integration, and end-to-end AI system development., • Design and build AI agent harnesses, orchestration frameworks, and context engineering pipelines; develop and integrate Model Context Protocol (MCP) servers to expose tools, data sources, and enterprise APIs to AI agents in a standardized, secure manner; and implement Agent-to-Agent (A2A) communication patterns and multi-agent architectures to solve complex, multi-step business problems., • Write production-level code and partner with machine learning engineers and platform teams to deliver AI solutions from development through production following the full AI lifecycle., • Continuously research new methods for problem solution, including new algorithms, agentic frameworks, context management techniques, and AI application patterns., • Partner with machine learning engineers to productionize AI solutions. Partner with data engineers to build data pipelines. Partner with software engineers to integrate solutions with business platforms. The Skills and expertise you bring: • Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines, • Working on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques and evaluation criteria for obtaining results., • Ability to learn new skills and knowledge on an ongoing basis through self-initiative and seeking challenges, • Excellent problem solving, communication and collaboration skills Applied experience with several of the following: • AI Engineering & Production AI Lifecycle: Ability to design, build, and deliver AI systems end-to-end in a production environment. Deep understanding of the AI lifecycle — from problem framing and data preparation through model development, evaluation, deployment, monitoring, and continuous improvement. Experience with CI/CD for AI, model versioning, observability, and responsible AI practices., • Generative AI, Agentic & Context Engineering: Expertise in modern Generative AI and NLP technologies including LLMs, RAG, LangChain, LangGraph, vector databases, etc. Skilled in context engineering — prompt engineering, dynamic context construction, context window management, and structured output design. Experience building AI agent harnesses and orchestration frameworks including scaffolding, tool registries, and evaluation loops. Hands-on experience designing MCP servers to expose enterprise tools and APIs to AI agents, and implementing Agent-to-Agent (A2A) communication patterns and multi-agent architectures to solve complex, multi-step business problems., • Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models, • Data Acquisition and Transformation: Acquiring data from disparate data sources using API's and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python., • Database Management System: Knowledge of how databases are structured and function in order to use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc., • Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured)., • AWS DevOps: Experience in the project development life cycle in an AWS environment. Familiar with development, QA, staging and production deployment stages., • Programming Languages: Python, SQL

About Sigmoid Analytics: Sigmoid unlocks business value for Fortune 1000 companies through expert data engineering, data science, and AI consulting. We solve complex challenges for leaders in CPG, Retail, BFSI, and Life Sciences. With 10+ delivery centers in the USA, Canada, UK, Europe, Singapore, and India, we deliver cutting-edge data modernization and generative AI solutions. Join us to shape the future of data-driven innovation! Why Sigmoid? • Inc. 500 Fastest-Growing Companies (4 years running), • Deloitte Technology Fast 500 (4 years running), • Top Employer: AIM’s 50 Best Firms for Data Scientists Summary: The role is expected to serve as the primary client-facing data science lead for commercial analytics and RGM engagements. In this role, you will partner with senior client stakeholders, translate business challenges into data science solutions, review and guide offshore deliverables, and ensure delivery of high-quality outcomes. You will combine hands-on modeling expertise with client leadership, solution ownership, and team guidance to drive measurable business impact Provide clear guidelines for offshore development teams & own outcomes. You will nurture key client relationships to ensure client account success. Desired Experience : • 8–12 years of overall experience., • 3+ years in consulting or client-facing analytics roles., • 3+ years of experience in CPG or adjacent commercial analytics environments., • Proven experience engaging with senior stakeholders and leading client conversations., • Strong track record in data science, statistics, and machine learning Role & Responsibilities : • Develop and refine analytics & ML models and tools (e.g., Price Elasticity, iPPA diagnostics, Portfolio Simulators, TPO, TPM etc.) to support strategic RGM decisions, • Employ your analytical skills to decipher large datasets, and identify opportunities to enhance existing solutions, as well as develop new ones as scalable proof-of-concepts (PoC)., • 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, • Collaborate extensively with business stakeholders to gather requirements, deeply understand challenges and identify opportunities., • Leading client workshops where broad vision and ambiguous business problems are articulated to be solved through data analytics and AI, • Independently liaise with customers and convincingly present solutions in an unstructured and ever-changing client environment. Be able to independently question the customer, when required., • Perform a role that involves a combination of hands-on contribution and customer engagement, • Contribute to organization building through training, mentoring, and developing repeatable analytic approaches Primary Skills (Mandatory) • Strong foundation in ML and statistical concepts., • Proficiency in SQL, Python, and PySpark., • Experience with Snowflake, BigQuery, Azure, AWS, or Databricks., • Experience with CPG data and commercial analytics, including pricing, promotion, mix, e-commerce, or customer analytics., • Ability to convert rigorous analysis into strategic recommendations., • Strong project management, communication, and team leadership skills, • Strong problem-solving skills and a creative mindset for disrupting how RGM analytics is conducted today. Be at the forefront of innovations in commercial analytics space Secondary Skills (Good to have): • Exposure to supply chain analytics, manufacturing analytics, or e-commerce analytics., • Data engineering / MLOps experience., • Dashboarding experience with Power BI or Tableau, • Exposure to Agentic AI / LLMs or any other Gen AI capabilities

Role: Senior Application Security Architect Location: Rockville, MD or Tysons Corner, VA or Woodbridge, NJ or Jersey City, NJ (3 days onsite & 2 days remote per week) Job Description: Senior Application Security Architect The Senior Application Security Architect is responsible for designing, implementing, and overseeing enterprise-wide application security architecture and standards. This role focuses on establishing security frameworks, conducting architecture reviews, developing security baselines, and leading strategic security initiatives that have broad impact across the organization. The position requires a blend of technical expertise, architectural thinking, and leadership to embed security throughout the software development lifecycle. We are looking for a versatile resource who can handle multiple tasks at the same time and have great attitude. Job Responsibilities: • Design and establish enterprise application security architecture frameworks and reference models aligned with business objectives and risk tolerance, • Lead architecture reviews of applications and systems to identify security gaps and recommend appropriate controls, • Develop and maintain security baselines, standards, and patterns for different technology stacks (web, mobile, API, microservices) and deployment models, • Create and evolve threat modeling methodologies (STRIDE, PASTA, OCTAVE) and facilitate threat modeling sessions with development teams, • Define secure coding standards and security requirements for different application types based on data classification and risk profile, • Architect security solutions for authentication, authorization, encryption, and secure communication channels, • Establish security guardrails for cloud-native applications, serverless architectures, and infrastructure-as-code implementations, • Design and implement API security strategies including OAuth/OIDC flows, API gateways, and rate limiting, • Integrate security architecture principles into CI/CD pipelines to support DevSecOps initiatives, • Evaluate and recommend security tools and technologies for the enterprise security tech stack, • Develop security architecture roadmaps and guide implementation of security capabilities, • Partner with development teams to design secure solutions that balance security requirements with business needs, • Lead strategic security initiatives with enterprise-wide impact, • Leverage GenAI technologies to enhance security architecture reviews and automate security analysis, • Maintain documentation of security architecture decisions, patterns, and reference implementations, • Develop and deliver security architecture training to raise security awareness among developers and architects, • Stay current with emerging security threats, technologies, and architectural approaches, • Perform security design reviews for new applications and major changes to existing applications, • Architect secure data handling practices including encryption at rest and in transit Qualifications: • Bachelor's degree in Computer Science, Information Security, or related technical field required, • 5+ years of experience in application security, with at least 2 years in security architecture roles, • Deep knowledge of secure design principles, threat modeling methodologies, and security patterns, • Experience designing security controls for cloud environments (AWS, Azure, GCP), • Proficiency in evaluating and implementing application security tools (SAST, DAST, IAST, SCA), • Hands-on experience with security testing tools such as Burp Suite, OWASP ZAP, and other proxy tools, • Experience with secure software development practices and DevSecOps implementation, • Strong understanding of OWASP Top 10, SANS CWE, and other security standards, • Knowledge of secure authentication mechanisms (MFA, SSO, OAuth 2.0, SAML, OIDC), • Experience with secure API design and implementation of API security controls, • Knowledge of regulatory requirements (PCI-DSS, GDPR, SOX, etc.) and their architectural implications, • Experience with containerization, microservices, and API security, • Proficiency in one or more programming languages (Java, Python, JavaScript preferred), • Experience with secure code review techniques and identifying common vulnerability patterns, • Knowledge of cryptographic protocols and implementations, • Experience with security requirements for modern application architectures (SPA, serverless, etc.), • Excellent communication skills with ability to translate complex security concepts to technical and non-technical audiences, • Experience leading cross-functional security initiatives and influencing stakeholders Certifications such as CSSLP, CISSP, AWS Security Specialty are highly desirable

Job Description Why Jencap? We are one of the largest wholesale insurance intermediaries in the United States with expertise in wholesale brokerage, binding authority, and program management. The common thread woven throughout our success story is our collaborative and driven team of people. Our teams are empowered and work together to find solutions. We have a passion culture – with teamwork, collaboration and a focus on growing individuals and giving them the tools & development opportunities to have a successful career. We are seeking motivated and detail-oriented Computer Science undergraduate students for our Summer Internship Program. This program provides hands-on experience working on real-world projects, exposure to modern technologies, and the opportunity to collaborate with experienced engineers, product teams, and business stakeholders. Interns will contribute to meaningful initiatives that support application development, system integration, data processing, and automation across our platforms. Key Responsibilities Assist in designing, developing, and testing software applications Support ongoing development of web-based and internal business applications Work with APIs, databases, and data processing workflows Participate in debugging, troubleshooting, and performance optimization Collaborate with cross-functional teams (engineering, product, operations) Contribute to documentation, technical specifications, and user guides Attend team meetings, code reviews, and agile ceremonies Support automation and process improvement initiatives Qualifications Currently pursuing a Bachelor's degree in Computer Science or related field Basic understanding of programming languages (e.g., Python, Java, C#, or JavaScript) Familiarity with web technologies (HTML, CSS, REST APIs) is a plus Understanding of databases (SQL or NoSQL) preferred Strong problem-solving and analytical skills Good communication and teamwork abilities Eagerness to learn and adapt in a fast-paced environment Preferred Skills (Nice to Have) Experience with cloud platforms (Azure, AWS, or GCP) Exposure to version control systems (Git) Knowledge of Agile/Scrum methodologies Interest in software architecture, integrations, or data engineering What You Will Gain Hands-on experience with real business applications and systems Mentorship from experienced engineers and technology leaders Exposure to end-to-end software development lifecycle Opportunity to work on impactful projects used in production Networking opportunities across teams and department Want the opportunity to build something new? Expand your knowledge and stretch your experience through new and emerging risks? Have your voice heard, your skills properly applied, and to add tangible value to an organization? You're in the right place. Jencap is dynamic, bold, tenacious, and trusted in the industry. Here, you are not just one of the many, you are one of us. We truly are better together. Jencap is an Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or citizenship status, sexual orientation, gender identity or expression, pregnancy, marital or familial status, disability status, medical condition, genetic information, military or veteran status, political affiliation, or any other characteristic protected by law. We are committed to fostering a work community where every colleague feels welcomed, valued, respected and heard, as we believe that that creating an environment where every employee feels included and empowered, helps us to deliver the best outcome to our clients.

Contract to hire position with a major financial firm. This position is hybrid to Newark, NJ As a Data Scientist on the Data Science team, you will partner with our diverse team of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians and Actuaries tasked with mining our industry-leading internal data to develop new analytics capabilities for our businesses. The role requires a rare combination of sophisticated analytical expertise; business acumen; strategic mindset; client relationship skills, problem solving; and a passion for generating business impact. This is an exciting opportunity to be a part of a strategic initiative that is evolving and growing over time! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership demeanor and a continuous learning focus to all that you do. Here is what you can expect in a typical day: • Responsible for the hands-on development of sophisticated data science solutions comprising the portfolio developed by the Lead Data Scientist and Actuaries and the technical requirements specified by the Lead Data Scientist and Actuaries. • Perform hands-on data analysis, model development, model training, model testing, model deployment. • Continuously research new methods for problem solution, including new algorithms, modeling techniques, and data analytics techniques. • Write production-level code and partner with machine learning engineers to push development code into production. • Partner with machine learning engineers to productionized machine learning models. Partner with data engineers to build data pipelines. Partner with software engineers to integrate solutions with business platforms. • Work closely with the business and data science lead to recommend and develop models for GI financial underwriting, medical underwriting, marketing analytics and other business use cases. • Manage external vendors in the execution of the data science development process. The Skills and expertise you bring: • Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines. • Working on complex problems in which analysis of situations or data requires an in[1]depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques, and evaluation criteria for obtaining results. • Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business. Create and test hypotheses for customer engagement and wellness programs. • Experience in research, designing experiments (ex: A/B testing), working with claims and customer experience data. An insurance actuary background is preferred but not required. • Ability to learn creative skills and knowledge on an on-going basis through self[1]initiative and solving challenges., • Excellent problem solving, communication and collaboration skills. Applied experience with several of the following: • Data Acquisition and Transformation: Acquiring data from disparate data sources using API's, SQL and NoSQL. Transform data using SQL, NoSQL, and Python. Visualizing data using a diverse tool set including but not limited to Python and R. • Database Management System: Knowledge of how databases are structured and function in order to use them e8iciently may include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc. o Knowledge of how to work with data from (do not build) o SQL skills (relational) - CORE / Initial Proficiency o Unstructured (NoSQL) o Graph / ontology (DB Graph) • Model Deployment: Understanding of: MDLC (Model Development Life Cycle), CI/CD/CT pipelines (using tools like Jenkins, CloudBees, Harness etc.), A/B testing. Pipeline frameworks like MLFlow, AWS SageMaker pipeline etc. model and data versioning. • Statistics and Computing: Exceptional understanding of: Calculus, Multivariable Calculus, Linear Algebra, Di8erential Equations, Probability, Statistics, Applied Probability, Applied Statistics, Computer Science (Programming Methodologies), and Cloud. Knowledge of statistical techniques such as the use of descriptive, inferential, bayesian statistics, time series analysis etc. to extract business insights and experimentation to solve business problems • Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured). • Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, and monitoring machine learning models. Understanding and expertise in NLP (natural language processing). • Programming Languages: Python, R, SQL, Java or Scala, SQL, Cypher

As a Data Science/Data Engineer Intern, you will work on cutting-edge analytical and data engineering projects that drive measurable business impact across pricing, underwriting, marketing, and claims. This internship is ideal for a technically curious, motivated problem-solver who wants hands-on data science experience. RESPONSIBILITIES • Support the design, construction, and optimization of robust data pipelines to enable machine learning and analytical modeling., • Contribute to the design and implementation of data and ML workflows using orchestration tools such as Dagster, Airflow, or similar frameworks., • Help implement data quality checks, validation routines, and monitoring for automated data workflows., • Assist in organizing and managing internal GitHub repositories to standardize ML project structures and best practices., • Collaborate with data scientists and engineers to automate the ingestion, transformation, and delivery of data for model development., • Contribute to initiatives migrating analytical processes into cloud-based data lake architectures and modern platforms such as AWS or Snowflake., • Develop reusable and well-tested code to support analytical pipelines and internal tools using Python and SQL., • Conduct data mining, cleansing, and preparation tasks to build high-quality analytical datasets., • Participate in model development, including data profiling, model training, validation, and interpretation., • Build and evaluate predictive models that enhance profitability through improved segmentation and estimation of insurance risk., • Assist in studies evaluating new business models for customer segmentation, retention, and lifetime value., • Collaborate with business leaders to translate insights into operational improvements and cost efficiencies. QUALIFICATIONS • Currently pursuing or recently completed a Master’s in Data Science, Computer Science, Statistics, Economics, or related field., • Proficiency in Python (Pandas, NumPy, Scikit-learn, XGBoost, or PyTorch) and SQL., • Understanding of data engineering concepts, ETL/ELT workflows, and machine learning deployment., • Exposure to workflow orchestration tools (e.g., Airflow, Dagster, Prefect) and Git/GitHub for collaborative development., • Familiarity with Docker, CI/CD pipelines, and infrastructure-as-code tools such as Terraform preferred., • Knowledge of AWS cloud services such as S3, Lambda, EC2, or SageMaker a plus., • Experience with common modeling techniques (e.g., GLM, tree-based models, Bayesian statistics, NLP, deep learning) through coursework or projects., • Strong analytical, communication, and problem-solving skills., • A self-starter mindset, with attention to detail and enthusiasm for learning new technologies. SALARY RANGE The pay range for this position is $35 hourly. ABOUT THE COMPANY The Plymouth Rock Company and its affiliated group of companies write and manage over $2 billion in personal and commercial auto and homeowner’s insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 1,900 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of “A-/Excellent."

Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e. Sales Engineer, Solutions Architect, Data Engineer, Analytics Con

Job Description The Kent Place School Computer Science and Engineering (CSE) Department is seeking a forward-thinking educator to develop and teach innovative courses within our Upper School. Students learn to code in Python, Java, and other programming languages; to design and program soft and hard circuits; and to fully execute engineering and human-centered design processes. A desirable candidate will have experience introducing students to text-based programming, teaching AP Computer Science, and cultivating an inclusive learning environment accessible to all students and that advances equity in STEM. In addition to teaching a full course load, the CSE faculty member will support STEM initiatives by leading activities that broaden participation in STEM. Expectations for this position will include collaborating with colleagues, advising students in our upper school, and participating in community events. The CSE faculty member will cultivate and maintain relationships with faculty across academic departments to provide support and training on cross-disciplinary learning opportunities for students that employ AI, machine learning, and our Innovation Lab. Skills and Qualifications Teaching and Curriculum Development • Experience teaching foundational concepts in computer science, engineering, and data analysis., • Proficiency in programming languages relevant to high school and advanced topics, such as Python,, Java and other text-based programming., • Experience with introducing students to the core concepts of machine learning and artificial intelligence, including algorithms, data structures, and statistical thinking., • Ability to integrate project-based learning (PBL) focused on real-world applications of AI, data science, and engineering design processes., • Experience teaching students to design and program soft and hard circuits and fully execute human-centered design processes., • Familiarity with computational thinking and data analysis principles., • Knowledge of common ML models (e.g., supervised and unsupervised learning) and the ability to simplify these concepts for a high school audience., • Experience with educational programming tools and libraries used in data science, such as Python libraries (e.g., NumPy, Pandas, scikit-learn)., • Ability to collaborate with colleagues across academic departments to provide support and training on the use of resources in the Innovation Lab., • Experience leading activities that broaden student participation in STEM., • Ability to facilitate an after-school STEM program for students., • Bachelor's degree in Computer Science, Engineering, STEM Education, Mathematics, Physical Science, or a related field is required., • Master's degree in Computer Science, a related technical field, or Education/Teaching is preferred., • A minimum of 3 years of prior teaching experience is preferred. Please submit a cover letter and resume to apply.

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview:Thea Energy is seeking experienced, highly motivated magnet engineers to join its rapidly growing team. The magnet engineering roles will design, build, and test high temperature superconducting (“HTS”) magnets. HTS magnets are foundational components of Thea Energy’s planar coil stellarator, making compact, simpler, and lower-cost fusion systems possible. As part of a rapidly growing team, you’ll be part of the organizational build-up of a leading fusion energy company. These roles will have a high degree of autonomy and must be able to move quickly. The Thea Energy team is comprised of self-motivated, creative, and fun individuals with an excitement for solving complex problems.Key Responsibility Areas: • Rapidly design, build, and test HTS magnets, • Develop specifications for magnets based on system design and performance goals, • Optimize magnet design and run analysis using Multiphysics simulation software (e.g. Ansys EM, Structure, COMSOL, etc.), • Develop design tools, data analysis software, and algorithms using Python or similar, • Incorporate design for manufacturing principles and support first builds, • Produce design specifications and collaborate with vendors to get quotes and deliver hardware that meets qualifications, • Support the implementation of tooling and manufacturing, • Design and execute magnet testing, • Track and report results and progress against program goals and milestones, • Communicate and collaborate with internal and external stakeholdersIdeal Experience & Skillsets:, • Experience with magnets, cryogenics, vacuum systems, or transformer design, • Experience in design using CAD software (e.g. Solidworks, CATIA, NX, etc.), • Experience with Ansys and/or COMSOL, • Experience specifying machining, welding, and fabrication requirements, • Ability to work through and solve highly multidisciplinary engineering problems, • Ability to take initiative, work independently and as part of a team, • Ability to execute and flourish in a fast-paced, rapidly changing environment, • Comfortable working to aggressive deadlines, • Exceptional work ethic, • Strong team member with clear communication and collaboration skills, • Innate desire to learn, innovate, and critique ideas including one’s own, • At least a bachelor’s degree in physics, computer science, electrical engineering, mechanical engineering, materials engineering, or related fields, • Experience with magnetic confinement fusion, aerospace, medical devices, or other highly technical industries is idealCompany Benefits:, • Salary range $110,000-$180,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options, • 20 days PTORequirements:, • Ability to occasionally lift up to 50 lbs., • Ability to perform activities such as typing, standing, or sitting for extended periods of time., • Willingness to occasionally travel or work required nights/weekends/on-call.

Job DescriptionAbout Dyania Health Dyania Health is a venture-backed company founded in 2019 which has developed Synapsis AI, an end-to-end system that combines a medically post-trained LLM with a physician-driven algorithmic reasoning engine to understand and assess clinical characteristics in electronic medical records. Synapsis AI is designed for installation within the healthcare system's computing environment or on healthcare system private clouds to automate manual chart review of EMRs without removing any data from the healthcare system. Synapsis AI completes pre-screening on both unstructured and structured patient data, deploying medical logic with temporal sensitivity to dynamically match changing patient characteristics to complex clinical trial criteria within the exact window when a given EMR may qualify for study protocol criteria. The Role We are seeking a Staff or Senior Staff Research Scientist to lead the design, development, and implementation of advanced AI/ML and LLM-based models for clinical data understanding. This is a senior, hands-on research role. You will build and customize models, design architectures, and drive ML innovation from concept through production. This is not a data science or analytics role—we are looking for someone who deeply understands how models work internally and can independently solve complex, open-ended problems. Leveling is based on experience: • Staff Research Scientist: 7+ years of relevant experience, • Senior Staff Research Scientist: 10+ years, including technical leadership responsibilities What We’re Looking For • A senior researcher who builds models, not dashboards, • A hands-on technologist who understands model architecture, training, and optimization, • Someone who can define strategy, lead initiatives, and still write production-quality code, • A strong independent problem solver comfortable with ambiguity and research-driven development, • A technical leader who can mentor others while delivering individually Key ResponsibilitiesResearch, Development & Implementation • Design, build, train, and deploy AI/ML and LLM-based models, • Own the full model lifecycle: problem definition, research, prototyping, training, evaluation, and deployment, • Apply strong understanding of ML and AI fundamentals to real-world biomedical problems, • Develop and optimize models using Python and modern ML frameworks, • Research emerging techniques and propose innovative solutions aligned with product and business needs Problem Solving & Strategy, • Independently analyze complex, ambiguous problems and determine appropriate modeling approaches, • Evaluate and recommend technical solutions and system architectures, • Translate research concepts into scalable, production-ready systems, • Contribute to long-term ML and AI strategy and technical vision Leadership, • Lead cross-project research and development initiatives, • Provide technical mentorship and guidance to junior researchers and engineers, • Establish best practices for experimentation, model development, and deployment, • 7+ years (Staff) or 10+ years (Senior Staff) of experience in AI/ML research or ML engineering, • Graduate degree in Computer Science, Engineering, or a related technical field, • Strong hands-on experience building, training, and deploying ML and AI models, including LLMs, • Deep understanding of model fundamentals and architecture design, • Proven ability to solve problems end-to-end, from research through implementation, • Advanced proficiency in Python for model development and training, • Experience customizing models rather than relying solely on pre-built solutions, • Ability to independently research, evaluate, and propose technical approaches Preferred Qualifications • Publication record in top-tier AI, NLP, or ML conferences, • Experience working with EMR or other complex clinical datasets, • Experience with multi-modal AI systems, • Prior senior or lead-level technical experience, • Familiarity with regulatory considerations for clinical AI systems, • Experience contributing to long-term technical strategy or system architecture, • PhD is welcome but not required Team Culture: • We lead with empathy for patients and our teammates, • We value small egos, self-awareness, and humility in our teammates, • We appreciate flexible and adaptive attitudes towards solving problems, as strategic priorities may shift, • We love diversity of thought, perspective, working style, skill set, knowledge, and interests amongst our team, • We value open dialogue and brainstorming across multidisciplinary teams Dyania Health is an equal opportunity employer that is committed to workplace diversity and inclusion. We do not discriminate on the basis of race, gender, gender identity, color, religion, national origin, sexual orientation, or any other legally protected characteristic as outlined by federal, state, or local laws. Benefits • Competitive Salary, • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Generous Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity, Paternity), • Training & Professional Development Support, • Remote work

Job Description Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce. The Technology Partner is a multi-faceted leadership role and part of Tiger’s core Data & Insights Solutions practice leadership. This role will be required to bring breadth and depth of technology expertise, founded in - experience with delivering large transformation, leading innovation driven practices, consulting to and managing executive stakeholders across IT and Business. Key Responsibilities: • Client Engagement & Advisory, • Partner with senior data leaders to provide strategic, forward-looking advisory, • Lead client reviews and recommend improvements across platforms, operating models, and practices, • Drive enterprise transformation initiatives across technology, organization, and processes, • Deliver thought leadership through workshops and knowledge-sharing sessions, • Solutioning & Pre-Sales, • Present capabilities and support business development initiatives, • Develop solutions and proposals for complex client requirements, • Architect scalable solutions for high-impact, first-of-its-kind programs, • Practice Leadership, • Mentor and develop engineering and architecture talent, • Manage and guide architect resources across engagements, • Contribute to go-to-market assets (reference architectures, frameworks, best practices), • Support hiring and strengthen talent acquisition processes, • Collaborate with global teams to enhance delivery and capabilities, • Expertise & Skills, • Strong experience in solution architecture for large-scale enterprise transformation programs, • Deep expertise in modern data platforms (NoSQL, MPP, columnar, big data, cloud – AWS, Azure, GCP), • Experience with data processing frameworks (batch ETL, real-time streaming, IoT architectures), • Knowledge of Data Fabric, Data Mesh, and enterprise data architecture patterns, • Expertise in data management practices, including data governance, cataloging, and data security, • Experience with MLOps, ML lifecycle, and advanced analytics platforms, • Strong background in data warehousing, BI ecosystems, and analytics solutions, • Proficiency in DevOps, Infrastructure as Code, and programming (Python, Java, Scala, etc.), • Exposure to knowledge graphs, customer data platforms, and digital analytics ecosystems, • Soft Skills, • Strong ownership mindset with an entrepreneurial approach, • Ability to work with ambiguity and solve complex, abstract problems, • Excellent stakeholder management and collaboration skills, • Bachelor’s degree in Computer Science or related field (or equivalent experience), • 15+ years of experience in solution architecture and technology platforms, • 5+ years in consulting leadership roles Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibilities. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview:We are seeking a highly motivated Plasma-Materials Scientist to join our team, focusing on plasma-facing material development. The ideal candidate will possess a strong background in the research and development of plasma-surface interactions, with particular emphasis on material survivability evaluation, plasma and heat-induced erosion processes, and plasma contamination effects in fusion-relevant environments. You will work with high autonomy and ownership, and contribute to cutting-edge research and development in Thea Energy’s stellarator systems.Key responsibilities: • Contribute to the construction and commissioning of a plasma device and diagnostics for exposing and evaluating plasma-facing material candidates., • Collaborate with plasma-material exposure facilities and use materials characterization tools for surface evaluation., • Provide technical guidance across team members in plasma device operation, plasma-material performance assessment and experimental planning., • Participate in stellarator plasma-facing component operational campaign planning., • Utilize computational and simulation tools to perform plasma-surface interaction simulations, thermal analysis, and contribute to multi-physics modeling efforts.Required Experience & Skillsets:, • Master's degree in materials science, engineering, applied plasma physics, chemistry, or a related field., • Knowledge of basic plasma physics., • Experience with vacuum systems., • Experience with experimental plasma setups and diagnostics such as industrial plasma sources, RF plasmas, spectroscopic diagnostics, laser-based diagnostics, and electrostatic probes., • Experience with surface analysis techniques such as electron microscopy, atomic-scale microscopy, and elemental composition analysis methods (e.g. XPS, EDX, Raman)., • Experience with one or more of the following: Python, MATLAB, FEA tools, COMSOL, C++, Fortran., • Ability to work independently and manage projects., • Strong attention to detail, • A passion for advancing fusion energy to commercialization., • Willingness to collaborate with a diverse team of scientists and engineers within the company and externally.Ideal Experience & Skillsets:, • PhD in applied plasma physics or a related field., • Experience with fusion boundary plasmas and/or low-temperature plasmas., • Experience with linear plasma devices., • Experience in tokamak or stellarator divertor research., • Experience with ERO2.0, TRIDYN, SDTrimSP/TRIM, WALLDYN, or RustBCA.Company Benefits:, • Salary range $100,000-$160,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options

Job Description Be Part Of A High-Performing Team: Join a leading global financial institution at the forefront of cybersecurity and risk analytics. This team operates within a highly regulated, data-driven environment focused on protecting enterprise systems and sensitive information from insider threats. The group is known for its collaborative approach across Cybersecurity, Compliance, HR, and Fraud teams, leveraging advanced analytics and modern data platforms to drive impactful risk decisions. Current initiatives include building a centralized Cybersecurity Data Lakehouse and developing next-generation human risk scoring models to enhance detection and governance capabilities. What’s In Store For You: • Engagement: W2 only (no C2C/1099), • Opportunity to work on cutting-edge cybersecurity analytics and insider risk modeling, • Exposure to cross-functional teams including Cyber, Legal, Compliance, and Fraud, • Hands-on experience with enterprise-scale data, AI/ML tools, and modern data platforms, • Design, build, and optimize statistical and machine learning models for insider risk detection and scoring, • Develop quantitative frameworks to assess behavioral and human-centric risk across employees, vendors, and systems, • Partner with data engineers and analysts to integrate and model data within a Cybersecurity Data Lakehouse, • Translate complex datasets into actionable insights and defensible risk signals for stakeholders, • Support development of a “human risk score” to enhance insider threat detection and response, • 5+ years of experience in data science, quantitative analysis, or risk modeling (10+ years preferred for senior-level alignment), • Strong background in machine learning techniques (regression, classification, clustering, anomaly detection), • Proficiency in Python and/or R, plus strong SQL skills for large-scale data analysis, • Experience working with complex enterprise datasets and translating insights into business decisions, • Background in cybersecurity, insider risk, fraud, AML, UEBA, or threat analytics programs, • Familiarity with identity/access data, endpoint telemetry, DLP, email, or collaboration monitoring tools, • Experience with model governance, validation, and explainability in regulated environments, • Knowledge of behavioral analytics or human-centric risk modeling is highly preferred, • Strong communication skills with the ability to explain technical concepts to non-technical stakeholders, • Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related quantitative field

Job Description One of the largest investment firms in the nation is looking for a hands-on Sr. Database Administration with strong expertise in Microsoft SQL Server and solid experience with PostgreSQL. This role combines technical leadership and execution, focusing on performance optimization, scalability, and reliability of large-scale data environments (2+billion records). This person would need to work 7 days a month in the Jersey City office. Key Responsibilities • Lead design, administration, and optimization of enterprise database systems, • Manage large-scale datasets, ensuring high performance, availability, and scalability, • Troubleshoot complex database issues and implement performance tuning strategies, • Partner with engineering, DevOps, and business teams to deliver scalable data solutions, • Oversee database architecture, including indexing, partitioning, and data lifecycle management, • Implement and maintain high-availability and disaster recovery solutions, • Drive automation of database operations using scripting and tooling, • Support audits, compliance needs, and data governance initiatives, • Bachelor’s degree in Computer Science, IT, or related field, • 10+ years of database administration experience, including 8+ years with SQL Server, • Strong PostgreSQL administration and optimization experience, • Proven success working with very large datasets (billions of records), • Expertise in performance tuning, query optimization, and database internals, • Experience with high-availability solutions (e.g., Always On, replication, log shipping), • Proficiency in scripting (T-SQL, PowerShell, Python, or Bash), • Familiarity with cloud platforms such as Azure, AWS RDS, or Aurora, • Strong analytical, problem-solving, and communication skills, • Experience in regulated industries and relevant certifications are a plusCompany DescriptionWe specialize in staffing exceptional Professionals to industry leading companies in the US and abroad. Through our dedicated and ethical approach, we represent the finest employers and professionals in the marketplace today. This position is with one of our clients.We specialize in staffing exceptional Professionals to industry leading companies in the US and abroad. Through our dedicated and ethical approach, we represent the finest employers and professionals in the marketplace today. This position is with one of our clients.

Job Description Are you ready to shape the future of authentication? Join 1Kosmos and help lead the next wave in identity assurance and passwordless innovation. 1Kosmos is driving the future of identity security, empowering organizations to eliminate passwords and establish trust at every step of the identity lifecycle. As a vibrant team of innovators, we develop advanced authentication solutions trusted by some of the world’s leading brands. Join us as we create a passwordless world and set new standards for digital identity assurance. We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer vision and AI solutions. You will work on projects involving image capture, data extraction, and fraud detection, delivering high-performance models that can run on both mobile devices and cloud environments. This role blends R&D with production engineering—you’ll take ownership of the full ML lifecycle, from dataset creation and model training to deployment and performance optimization. Key Responsibilities • Design and implement AI models for image classification, object detection, OCR, and feature extraction., • Develop real-time image quality assessment and capture guidance algorithms., • Create and maintain data pipelines for collecting, cleaning, augmenting, and labeling datasets., • Implement model optimization techniques for mobile (on-device) and cloud inference., • Apply fraud detection methods to identify tampering, forgeries, or replay attacks in visual data., • Integrate ML models into production-grade APIs and mobile SDKs., • Monitor, evaluate, and continuously improve model accuracy and performance., • Collaborate with product and engineering teams to align AI capabilities with business goals. Requirements • Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field (or equivalent experience)., • 3+ years of experience building and deploying ML models in production., • Proficiency in Python and ML frameworks (PyTorch, TensorFlow, or similar)., • Experience with computer vision libraries (e.g., OpenCV) and OCR technologies., • Strong understanding of deep learning architectures for image and text recognition., • Familiarity with cloud platforms (AWS, GCP, or Azure) and API development., • Strong problem-solving skills and ability to work in fast-paced environments., • Based in the NJ / NY area; Hybrid working model.Preferred Qualifications, • Experience with model quantization and optimization for mobile deployment., • Knowledge of synthetic data generation and data augmentation techniques., • Background in security, liveness detection, or anomaly detection., • Exposure to compliance and data privacy regulations (GDPR, CCPA)., • Cutting-Edge Tech Stack: Build with decentralized identity protocols, FedRamp High, FIDO2-certified cryptography, and NIST-compliant biometric systems., • Accelerated Growth: Receive annual stipends for certifications and attend key conferences like Identiverse or EIC., • Ownership & Impact: We move fast and will enable you to make a big impact with large customers in US & Canada., • Flexibility First: Unlimited PTO, and 2 days WFH

Job Description Tiger Analytics is seeking a highly skilled Senior AI Engineer to join our dynamic team. In this role, you will design, develop, and implement cutting-edge AI solutions that drive business value for our clients. You will leverage advanced machine learning techniques, frameworks, and large datasets to create innovative products and solutions. As a Senior AI Engineer, you will work closely with cross-functional teams to identify project requirements, define success metrics, and maintain high-quality standards. Your expertise in AI will play a critical role in shaping our product offerings and ensuring the successful deployment of AI models in production. The successful candidate will have a solid background in artificial intelligence, experience with various ML frameworks, and a passion for solving complex business problems. Requirements Key Responsibilities: • Design and implement AI algorithms and models to solve real-world problems., • Collaborate with data scientists, data engineers, and business analysts to understand project requirements and propose relevant AI solutions., • Monitor and analyze the performance of AI models in production and iterate on them to improve outcomes., • Develop technical documentation as well as customer-facing documentation and presentations., • Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field., • 5+ years of experience in AI/ML development with demonstrated success in deploying machine learning models to production., • Proficiency in programming languages such as Python and familiarity with libraries such as TensorFlow, PyTorch, and Scikit-learn., • Experience with cloud-based AI services such as AWS, Google Cloud, or Azure., • Strong analytical and problem-solving skills, with a proven ability to interpret business requirements into technical solutions., • Experience with natural language processing (NLP) or computer vision applications., • Knowledge of MLOps principles and tools. This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. #LI-remote

Job DescriptionDescription: Hybrid 4 days on-site in Jersey City in Jersey City, NJ Our client seeks a senior back-end engineer to build scalable data services in Java and modernize critical custody systems. The role requires expertise in Spring-based microservices, distributed cloud services, and distributed data platforms. You will collaborate with product, quality, and cross-functional teams to solve design and architectural challenges and leverage open-source technologies. We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $90.00 to $85.00/hr. w2 JN -042026-106337 #LI-JS1 Responsibilities: • Design and develop scalable back-end data services using Java frameworks., • Work within Agile methodology and share software development best practices with the team., • Collaborate with product owners, quality engineers, and cross-functional teams to deliver solutions and resolve design and architectural challenges., • Leverage open-source technologies to meet business needs., • 12+ years of software development experience., • Proven commercial experience with Java., • Strong knowledge of Spring, Spring Boot, Lombok, JUnit, and Swagger., • Experience building microservices., • Experience with distributed cloud services, preferably Azure., • Experience with distributed data technologies such as Kafka, MQ, or Spark., • Experience designing and integrating REST and GraphQL APIs., • Working knowledge of relational and in-memory databases including Oracle and Redis., • Familiarity with Angular (preferred)., • Hands-on experience with Snowflake (preferred)., • Proficiency in an additional programming language such as Python, C++, or Groovy (preferred)., • Experience with CI/CD tools such as Jenkins, Harness, Ansible, and Docker (preferred). W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality. If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following: · When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc. · Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact . About Eliassen Group: Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients’ capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve. Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws. Don’t miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!

Job DescriptionSenior Systems Engineer /Core Infrastructure, VMware *US Citizens or GC Holders *On-site daily in Jersey City, NJ Position Overview We are seeking a highly skilled and experienced Senior Systems Engineer to join our IT Infrastructure team. This role focuses on the design, implementation, management, and optimization of core infrastructure systems with a specialization in VMware and related technologies. The Senior Systems Engineer will play a key role in ensuring the stability, scalability, and security of the organization’s IT infrastructure. Key Responsibilities • Core Infrastructure Management, • Design, deploy, and manage enterprise infrastructure, including servers, storage, and networking components., • Monitor system performance, troubleshoot issues, and implement improvements to ensure high availability and reliability., • Lead infrastructure-related projects, including upgrades, migrations, and system integrations., • VMware Administration, • Architect, implement, and maintain VMware vSphere environments, including ESXi hosts and vCenter servers., • Optimize virtual infrastructure for performance, scalability, and cost-effectiveness., • Manage virtual machine provisioning, snapshots, and backups., • Configuration Management, • Develop and maintain scripts (PowerShell, PowerCLI, Python, etc.) for system automation and process improvements., • Automate repetitive tasks, enhance monitoring capabilities, and ensure system configurations adhere to best practices., • Implement and maintain security measures to protect core infrastructure systems., • Ensure compliance with organizational policies, industry standards, and regulatory requirements., • Collaboration and Leadership, • Work closely with cross-functional teams, including network engineers, database administrators, and application developers., • Mentor junior team members and provide technical leadership. Core Systems and Infrastructure: • Windows Servers: Configuration, management, and performance tuning, • Active Directory (AD): Management of users, groups, and roles, • Group Policy (GPO): Administration and customization, • DNS and DHCP: Configuration and troubleshooting, • Public Key Infrastructure (PKI): Implementation and management, • VMware vSphere, ESXi, and vCenter, • Backup and replication tools: Veeam, Rubrik, Zerto, CommVault, • High-availability design, clustering, and disaster recovery (D.R.) solutions, • SAN, NAS, and Storage Spaces Direct, • Familiarity with NetApp, Dell EMC, and HPE storage solutions, • Tools: SolarWinds, SCOM, PRTG, • Synthetic transactions and real-time alerting, • Performance tuning for Windows servers and virtual environments, • Root cause analysis for recurring performance issues Qualifications • Education: Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience)., • Experience: Minimum of 7 years of experience in IT infrastructure engineering, with at least 5 years focused on VMware technologies., • Certifications:, • VMware certifications (e.g., VCP, VCAP, or VCDX) are strongly preferred., • Excellent problem-solving and analytical abilities., • Strong communication skills, both written and verbal., • Ability to work independently and collaboratively in a fast-paced environment., • Commitment to continuous learning and professional development.

Job DescriptionOur client, a highly respected A-rated P&C Insurance Company, is seeking an experienced Senior Data Engineer (Azure) to join their growing IT department. This is a unique opportunity to spearhead data engineering initiatives and lead a team responsible for building and optimizing scalable data pipelines and architectures. The ideal candidate will bring a blend of technical depth, strategic thinking, and leadership experience to drive the company's data strategy forward. This role offers the flexibility to work remotely but candidate MUST reside in New Jersey or New York.Key Responsibilities: • Drive cloud-based data solutions using platforms such as Microsoft Azure (e.g., Data Factory, Synapse Analytics, Databricks)., • Actively design, build, and deploy application solutions by writing, testing, and maintaining code across the full stack or within low-code/no-code platforms as appropriate., • Work directly with stakeholders and technical partners to gather requirements and turn them into practical, scalable technical solutions., • Implement and refine application architectures, contributing code and configurations that improve performance, reliability, and maintainability., • Develop and execute automated unit and integration tests, and contribute directly to regression testing efforts to ensure high-quality releases., • Perform detailed code reviews, provide technical feedback, and apply best practices to improve overall code quality., • Collaborate daily with engineers, QA, automation specialists, analysts, and project managers to deliver features and enhancements on schedule., • Engage directly with external vendors and contract resources, supporting implementation efforts and ensuring alignment with technical standards. Qualifications / Requirements:, • 5 - 10+ years of hands-on experience in data engineering with advanced proficiency in SQL, Python, and big data tools (e.g., Spark, Databricks). Proven experience designing and managing ETL/ELT processes and pipelines in Azure or other cloud environments., • Strong foundation in application architecture and system design, with the ability to evaluate, structure, and scale solutions effectively., • Hands-on experience applying established design patterns to implement business logic within middle-tier services, leveraging web services and modern architectural principles as appropriate., • Experience building and supporting cloud-native solutions using Microsoft Azure, with exposure to services such as App Services, Azure Functions, AKS, Azure DevOps, Azure SQL, and related platform or infrastructure components., • Solid programming experience with C# and SQL, including hands-on work with SQL Server environments and associated tooling., • Demonstrated capability in designing, developing, and maintaining REST-based backend services, with familiarity in multi-layered API architectures that separate process and experience concerns., • Strong background in automated testing practices, including writing unit tests with dependency injection and mocking frameworks, as well as contributing to integration and regression testing strategies., • Practical knowledge of DevOps concepts, including CI/CD automation, pipeline configuration, and experience working within Agile delivery models., • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field from an accredited U.S. institution., • Microsoft Azure Data Engineering certification is strongly preferred.Salary / Benefits:, • $175,000 - $200,000+ annual base salary plus 10–20% performance bonus, • Flex schedule and ability to work remote, • Extremely competitive Medical, Dental, Vision, and Life insurance plans, • Employer matching 401(k) plan, • Generous PTO plan

Job Description Be Part Of A High-Performing Global Capital Markets Technology Team: This opportunity sits within a global financial institution supporting mission-critical Front Office Sales & Trading platforms. The team operates at the intersection of business and technology, partnering closely with traders, quantitative teams, and application developers to ensure stability, performance, and accuracy across complex OTC trading workflows. The environment is fast-paced, risk-sensitive, and highly collaborative, supporting fixed income and derivatives products across international markets. This role plays a key part in strengthening automation maturity and ensuring trade lifecycle accuracy across systems that support swaps, interest rate products, caps/floors, and other derivatives. The team values technical depth, domain fluency, and strong cross-cultural communication—particularly between global and Japan-based stakeholders. What’s In Store For You: • Opportunity to work on revenue-generating front office trading systems, • Exposure to complex OTC derivatives workflows and capital markets platforms, • High-visibility role supporting global stakeholders across business and technology, • Design, build, and expand automated test frameworks using Java or Python for front office trading applications, • Develop and execute automated and manual test cases aligned to trade lifecycle workflows, • Validate deal ticket entry, risk revaluation (“reval”), and trade handoff to back office booking and settlement systems, • Perform API, UI, and data validation testing using tools such as Selenium, Postman, and SQL, • Convert business requirements and Xray test scenarios into scalable automation scripts, • Conduct impact assessments for new features and production changes, • Identify, document, and track defects in JIRA, ensuring traceability and root cause analysis, • Collaborate closely with developers, QA analysts, and business stakeholders across regions, • Participate actively in Agile ceremonies and sprint planning sessions, • 8+ years of experience in large-scale software development and QA environments, • 5–7+ years of hands-on experience developing automation frameworks using Java or Python, • Strong experience with Selenium and API testing tools (e.g., Postman), • Solid SQL skills with experience validating complex trade and financial data, • Minimum 2+ years of experience supporting Front Office Fixed Income or Derivatives Sales & Trading workflows, • Strong understanding of OTC trade lifecycle processes, including risk evaluation and downstream booking, • Experience with capital markets platforms such as Sophis, Murex, Summit, Numerix, ION, CRD, or similar systems preferred, • Hands-on experience using Xray within JIRA for test case management and defect tracking, • Experience working within Agile/Scrum delivery models, • Professional fluency in both Japanese and English (written and verbal), • Ability to communicate technical concepts clearly to stakeholders in both regions, • Experience with CI/CD pipelines and code review processes, • Knowledge of mobile or web performance testing, • Exposure to banking or financial services regulatory environments, • QA or Automation certifications are a plus

Job DescriptionDescription: Hybrid 50% ON SITE, half remote, work site either Jersey City, NJ or Westlake, TX Our client seeks a Principal Software Engineer to advance an enterprise AI/ML platform within a large, highly regulated industry environment. This role is ideal for a seasoned engineer who has “been around the block” — someone who has designed, built, and operated enterprise-scale platforms and can provide long-term architectural and technical leadership. The role will design and deliver reliable, secure, and cost-efficient capabilities for model packaging, deployment, serving, and observability. You will collaborate with platform engineers and data scientists to operationalize models at scale on AWS, drive standards, and improve reliability and velocity across teams. In this role, you will address complex technical challenges using Python code and have a focus area in delivering machine learning solutions at an enterprise scale. You’ll work on core platform services that enable machine learning and generative AI models to be safely, securely, and cost‑effectively deployed across the organization. A major focus of this role is a Python-based web service that acts as a gateway for AI models. You will be responsible for developing, building, and enhancing platform capabilities that are reliable, secure, and cost-efficient. This position offers the opportunity to collaborate with multiple teams to implement practical and robust solutions widely used in production. Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $65.00 to $70.00/hr. w2 Responsibilities: • Design, build, and evolve enterprise-scale Python services that support AI/ML and generative AI use cases., • Lead the technical direction and standards for model packaging, deployment, serving, and observability., • Partner closely with data scientists and application teams to operationalize models and accelerate adoption across the business., • Own and enhance a Python-based API and web service used as a gateway for AI tools, including usage tracking and cost controls., • Drive best practices for cloud-native architecture in AWS, with a focus on reliability, security, and cost efficiency., • Define and improve CI/CD pipelines, reusable frameworks, and paved paths to increase engineering velocity., • Lead incident response, root cause analysis, and post-mortems; implement systemic improvements to prevent recurrence., • Mentor senior and mid-level engineers and provide cross-team technical leadership., • Develop and evolve Python based platform capabilities for enterprise-scale ML packaging, deployment, serving, and observability. This will focus on fullstack work as well as model and data observability including drift detection, prediction quality monitoring, uncertainty signals, and diagnostics., • Partner with Data Scientists to package, scale, and operationalize models with clear APIs, guardrails, and automation, work to enable secure, scalable access to traditional and generative models through enterprise gateways and services., • Set platform strategy and standards for ML packaging, deployment, serving, and observability., • Lead cross-platform incident response and post-mortems, driving systemic fixes., • Introduce reusable frameworks and CI/CD templates to enhance engineering velocity., • 8+ years, typically 10+, building and operating production platforms at scale., • Deep Python development experience and distributed systems expertise with production-grade services. Requires In-depth Python development experience, including building APIs and production-grade services., • Familiarity with Java or Groovy (HIGHLY preferred)., • Technical Expertise:, • Deep expertise in Python and distributed systems, requires strong background in distributed systems and enterprise-scale platforms., • Proficiency in Linux and scripting., • Cloud platform leadership, particularly in AWS (S3, Lambda, Batch). Requires extensive experience designing and operating applications deployed in AWS (S3, Lambda, Batch, and related services)., • Experience with DevOps and CI/CD, including Jenkins and Git-based workflows., • Expertise in Infrastructure as Code (CloudFormation, Terraform/OpenTofu)., • ML enablement in production, including model packaging and deployment strategies, requires practical experience enabling ML in production, including deployment strategies, performance tuning, and observability., • Leadership: Cross-organizational technical leadership and mentoring experience.Proven ability to provide long-term design input and technical leadership on complex, enterprise initiatives., • Strong communication skills — able to clearly explain complex systems and design decisions to technical and non-technical stakeholders. Nice to Have • Exposure to Java or Groovy in enterprise environments., • Familiarity with Docker-based frameworks for model packaging and deployment., • Experience with generative AI platforms and managing secure access to tools such as large language models., • Exposure to Azure or GCP in addition to AWS., • Experience in cost governance or usage monitoring for shared platforms. Education Requirements: • Bachelor’s degree, Controller’s degree, or equivalent experience in Computer Science, Software Engineering, or a related field. W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality. If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following: · When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc. · Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact . About Eliassen Group: Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients’ capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve. Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws. Don’t miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!

Job Description 2bridge has been engaged in the direct hire search for a Senior Full Stack Python Developer to join our Financial Client based near Colonia, NJ. They offer a comprehensive package including base, bonus, 401k, PTO, Medical, dental, and vision. Senior Software Engineer We seek several highly skilled Senior Software Engineers to join a dynamic team. In this role, you will design, develop, and maintain cutting-edge software solutions that drive business growth. Your expertise in full-stack development, cloud infrastructure, API integrations, and automation will be essential in delivering high-performance applications that scale efficiently. Key Responsibilities: Software Development & Deployment: • Design, develop, test, and deploy high-quality applications using Python, React, AWS, and modern scripting languages., • Implement scalable and maintainable software architectures that meet business requirements., • Utilize AWS services, including Lambda, DynamoDB, and cloud storage, to optimize application performance and scalability., • Ensure cost-effective and secure cloud-based application deployments., • Design and maintain RESTful and GraphQL APIs for seamless integration across various platforms., • Ensure APIs adhere to performance, security, and scalability standards., • Leverage TypeScript, JavaScript, and Python to build robust and efficient software solutions., • Design and optimize SQL queries and database architectures to support application needs., • Work closely with cross-functional teams, including product managers, QA engineers, and business stakeholders., • Participate in Agile/Scrum methodologies to drive project success., • Share expertise and mentor junior developers to foster a culture of technical excellence. Qualifications: • Bachelor's degree in Computer Science, Engineering, or a related field., • 6+ years of experience in software development and system architecture., • 6+ Experience building financial applications for wealth or portfolio management disciplines, trading, or financial applications., • Proficiency in React for building modern, responsive web applications., • Hands-on experience with AWS services (Lambda, DynamoDB, Redshift, cloud storage, etc.)., • Strong expertise in API development (REST, GraphQL, WSO2) and backend integration., • Advanced skills in TypeScript, JavaScript, and Python., • Experience in SQL development and optimization., • Knowledge of Agile/Scrum frameworks for managing and delivering projects., • Strong communication and problem-solving skills., • Preferred: Cloud certifications and experience in fintech, wealth management, or enterprise SaaS. Why Join our client? • Work on high-impact projects in a fast-paced, collaborative environment., • Be part of a team that values innovation, security, and scalable solutions., • Opportunities for career growth, professional development, and mentorship.

Job Description Join our Data Science team as an Analytics Product Engineer, where you’ll own stakeholder-facing analytics and reporting in a modern, AI-native insurance data environment. This role sits at the intersection of business, data, and product. Balancing rapid response to real operational questions with the delivery of durable, high-trust analytics products. If you’re a builder who enjoys turning messy business questions into durable analytics products, takes pride in data integrity, and ships insights, not just queries, this role is for you. We value people who move quickly, learn new tools, and deliver pragmatic solutions in fast-moving environments. What You’ll Do • Serve as a trusted analytics partner to business stakeholders, translating ambiguous questions into pragmatic, timely insights while exercising sound judgment about when prototypes should evolve into durable, decision-ready reporting., • Build analytics on a modern data stack, developing curated datasets in Snowflake and delivering high-impact BI through Power BI and other lightweight analytics interfaces when appropriate., • Own analytics products end to end, from design through delivery, ensuring dashboards and reports are intuitive, reconciled, well-documented, and trusted in high-visibility operational and strategic decisions. What We’re Looking For • Insurance or Financial Services Experience. A solid understanding of insurance business concepts and how they translate into reliable, decision-ready analytics and reporting., • Modern BI & Data Stack Expertise (Required). Strong hands-on experience building analytics solutions on Snowflake and delivering polished, stakeholder-facing reporting in Power BI. Demonstrated mastery of semantic modeling, DAX, and performance optimization (Microsoft PL-300 certification or equivalent)., • Builder Mindset. Strong SQL and Python skills with experience shipping analytics products beyond traditional dashboards (ie. lightweight data apps, AI-assisted workflows, or simple React interfaces). Moves quickly from prototype to trusted insight while maintaining high standards for data quality and performance., • Prior ownership of a reporting or analytics domain within insurance or financial services, • Background outside of data or analytics after transitioning into the field Experience Level Mid-level (approximately 4–6 years in Analytics, BI, or Data roles). We value candidates who bring real-world perspective and judgment, not just technical skill. Location & Work Model • This role is based in Iselin, NJ and requires regular in-person presence., • Candidates should expect to work on-site as part of a highly collaborative Data Science and business partnership environment. Salary Range $120,000 – $155,000 base salary, commensurate with experience. Additional Information: Full benefit package including medical, dental, life, vision, company paid short/long term disability, 401(k), tuition assistance and more Job Posting Disclaimer: Fortegra has recently been made aware of unauthorized communications regarding career opportunities by individuals not associated with Fortegra or our recruitment team. Fortegra will only contact you from the Fortegra domain address (@fortegra.com). If you receive a message from someone posing as a Fortegra recruiter via text message, WhatsApp, Telegram or other messaging platform, please report it as phishing and block the sender. #LI-Onsite

Job DescriptionAbout Dyania Health Dyania Health is a venture-backed company founded in 2019 which has developed Synapsis AI, an end-to-end system that combines a medically post-trained LLM with a physician-driven algorithmic reasoning engine to understand and assess clinical characteristics in electronic medical records. Synapsis AI is designed for installation within the healthcare system's computing environment or on healthcare system private clouds to automate manual chart review of EMRs, without removing any data from the healthcare system. Synapsis AI completes pre-screening on both unstructured and structured patient data, deploying medical logic with temporal sensitivity to dynamically match changing patient characteristics to complex clinical trial criteria within the exact window when a given EMR may qualify for study protocol criteria. If you like to innovate at the forefront of technology and build software that solves important real-world problems, we'd love to hear from you! At Dyania Health we are transforming the way in which machines understand and process medical information. About the Role We are seeking Senior Machine Learning / Software engineers who are passionate about their craft to help us in that mission. As a senior ML engineer at Dyania, you'll design, build, and deploy scalable ML-driven systems that power biomedical information processing. In this role, you will operate at the intersection of machine learning research and production-grade software engineering, owning the full lifecycle of ML-powered microservices — from model development and evaluation to deployment, monitoring, and continuous improvement. You will play a key technical leadership role, mentor junior engineers, and collaborate closely with product, UX, and clinical teams to translate real-world healthcare challenges into robust, scalable solutions. Key Responsibilities • Design, implement, and deploy ML-powered software components within a microservice architecture., • Lead development and productionization of NLP and transformer-based models for biomedical information processing., • Own the full ML lifecycle: data preparation, model training, evaluation, optimization, deployment, and inference at scale., • Architect scalable and maintainable ML infrastructure and services., • Collaborate cross-functionally with product, UX, and clinical stakeholders to understand requirements and rapidly prototype new capabilities., • Analyze model and system performance; communicate findings and trade-offs clearly to technical and non-technical stakeholders., • Ensure reliability, scalability, and security of ML services in production environments., • Mentor junior engineers and contribute to raising the technical bar across the team., • Contribute to architectural discussions and strategic technical decisions. Required Qualifications: • 5+ years of industry experience in machine learning-focused software engineering (excluding internships and academic projects)., • Bachelor’s or graduate degree in Computer Science, Mathematics, Electrical Engineering, or a related technical field., • Strong hands-on experience training, testing, deploying, and serving ML models in production environments., • Experience with transformer architectures and NLP applications., • Experience with multi-GPU and multi-node distributed training and inference., • Proficiency in Python., • Proficiency in Java (and/or Kotlin/Scala) or C++., • Experience designing and implementing microservices., • Professional experience with Git and collaborative development workflows., • Experience with relational databases and/or NoSQL systems (e.g., knowledge graphs)., • Strong communication skills and ability to explain technical concepts clearly. Preferred Qualifications: • Experience working with AWS or similar cloud platforms., • Experience working in agile development environments and familiarity with Jira., • Experience building ML systems in healthcare or other regulated environments., • Experience with monitoring, observability, and performance optimization in production ML systems. What Success Looks Like • You deliver production-ready ML systems that are scalable, reliable, and maintainable., • You proactively identify technical risks and propose thoughtful solutions., • You translate ambiguous biomedical problems into structured ML approaches., • You elevate the engineering team through mentorship and thoughtful technical leadership., • You effectively communicate insights and trade-offs to diverse stakeholders. Team Culture: • We try every day to maintain empathy for patients and our teammates., • We value small egos, self-awareness, and humility in our teammates., • We appreciate flexible and adaptive attitudes towards solving problems, as strategic priorities may shift., • We love diversity of thought, perspective, working style, skill set, knowledge, and interests amongst our team., • We value open dialogue and brainstorming across multidisciplinary teams. Dyania Health is an equal opportunity employer that is committed to workplace diversity and inclusion. We do not discriminate on the basis of race, gender, gender identity, color, religion, national origin, sexual orientation, or any other legally protected characteristic as outlined by federal, state, or local laws. Benefits • Competitive Salary, • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Generous Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity, Paternity), • Training & Professional Development Support, • Remote work

Job DescriptionOn-site Position Who You Are You are an innovative and detail-oriented Full-Stack Engineer with a passion for building reliable, secure, and scalable applications. You thrive in complex enterprise environments, enjoy collaborating with diverse teams, and are committed to continuous learning and technical excellence. You’re someone who finds energy in problem-solving, optimizing cloud architectures, and delivering high-quality software that directly impacts millions of users. You take ownership of your work, enjoy mentoring others, and value process discipline — especially in environments that demand precision, performance, and compliance. If you want to grow with a mission-driven company, contribute to world-class projects with global clients like JP Morgan Chase, and help elevate Latin American tech talent to its fullest potential, this is the role for you. Who We Are MAS means “more” in Spanish — and that’s what we stand for. We believe in providing more opportunities, more inclusion, and more impact. Founded by a Latina engineer from Medellín and based in Tampa, Florida, MAS Global Consulting is a 100% Hispanic and woman-owned company, recognized as a Great Place to Work and one of the Fastest-Growing Companies in the US. We connect top Latin American talent with North American clients to build digital, data, and cloud solutions. Our teams are currently helping world-leading organizations like JP Morgan Chase, Johnson Controls, and Dell to modernize platforms, deliver innovation, and scale digital transformation. How You Will Make Impact As a Full-Stack Java Developer, you will design, build, and optimize microservices and customer-facing applications that process massive volumes of secure transactions daily. You will work directly with Chase engineers under a time-and-materials engagement, embedded in agile delivery teams. Your contributions will drive real impact by improving system performance, enhancing observability, and enabling data-driven financial solutions at scale. Key Responsibilities • Design and develop RESTful APIs and microservices using Java (11+), Spring Boot, and Spring Cloud frameworks., • Implement event-driven architectures with Kafka (producers, consumers, schema management, and streaming)., • Deploy and manage services on AWS ECS/Fargate, using Terraform or CloudFormation for Infrastructure-as-Code and Spinnaker for CI/CD automation., • Integrate and maintain data flows with Cassandra, AWS S3, or Spark-based pipelines., • Collaborate with frontend teams using React or Angular to deliver seamless, full-stack solutions., • Leverage Python for automation, data validation, or integration scripting (nice-to-have)., • Ensure quality through Test-Driven Development, automated testing, and continuous integration practices., • Partner with DevOps and QA teams to enhance resilience, scalability, and performance across distributed systems., • Participate in sprint planning, design reviews, and retrospectives while following Agile/Scrum practices., • Champion best practices in security, code quality, and documentation, ensuring compliance with Chase’s standards.You Have:, • BS/BA degree or equivalent experience in Computer Science, Engineering, or related field., • 7+ years of experience building enterprise-grade applications using Java / Spring Boot., • Proven experience developing and deploying microservices on AWS Cloud (ECS, Fargate, Lambda)., • Solid understanding of Kafka, Docker/Kubernetes, and distributed system design., • Hands-on experience with CI/CD pipelines (Spinnaker, Jenkins, or GitHub Actions)., • Experience with frontend frameworks like React or Angular for full-stack delivery., • Familiarity with Cassandra, SQL/NoSQL databases, and data streaming concepts., • Working knowledge of Python3 for automation or data processing (nice-to-have)., • Exposure to observability tools like Datadog, Splunk, or Dynatrace for monitoring and troubleshooting., • Experience working in Agile environments and collaborating in cross-functional teams., • Excellent communication skills — able to explain technical concepts to both engineers and product stakeholders.Bonus Skills (Nice to Have):, • Knowledge of Apache Spark, Flink, or data engineering concepts., • Familiarity with financial services, regulated environments, or compliance-heavy systems., • Experience integrating AI/ML-powered recommendation systems or event-driven personalization logic., • Awareness of performance testing, NFR validation, and resilience patterns (DLQ, retries, fallback).Benefits, • Health: Medical, dental, and vision coverage., • Time Away: Vacation, holidays, wellness days, and parental leave., • Financial: 401(k), basic life, and AD&D insurance. Powered by JazzHR 1Vxvxla96D

Job Description Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. We are looking for someone with a good blend of business consulting skills and a data analytics background. If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you. RESPONSIBILITIES: • Work on the latest applications of data science to solve business problems in Pharma and Lifescience domain, • Work directly with client stakeholders to translate business problems into high-level analytics solution designs, • Knowledge of advanced analytics approaches and methodologies and best practices of leveraging data to drive informative decisions, • Proficiency in using advanced analytics to drive business value including ROI/value assessment, digital KPI tracking, campaign measurement, etc, • Experience in generating insights from reports and summarizing for brand teams, • You will be responsible for account management, client relationships, and account growth, • You will be responsible for scaling pilots / POCs to a long-term transformative program and delivering continuous business value, • Fluency with pharma data sources such as Veeva and IQVIA (Plantrak, LAAD, PE, etc) including RWD sources such as TriNetX, Flatiron, Optum, Komodo etc., • Experience working with all levels of management and consulting with key business stakeholders., • Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value, • Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytics solution, • 10-16 years of professional work experience with at least 9 years in data analytics, • Deep understanding of pharma dataset, KPIs, and insight needs across different HQ and field personas across commercial, PSS, and market access, • Ability to engage with executive/VP level stakeholders from client’s team to translate business problems to high level analytics solution approach, • Strong knowledge of Life Science and Pharma domain, • Experience in specialty drug and rare diseases, • Strong project management and team management skills and ability to work with global teams, • Strong SQL skills and hands-on experience with analytic tools like R & Python & visualization tools like Power BI or Tableau, • Strong understanding of standard data sources—especially pharmacy, HUB, CRM, IQVIA, alignments, and related datasets—along with the nuances and quality controls required to ensure accuracy, • Experience in developing hypotheses and validating them through data analysis to identify and investigate trends, • Experience in building and maintaining reports, with a focus on optimizing effort through automation, • Experience in managing large accounts and active involvement in account growth. P&L ownership in the past would be an added advantage Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job Description Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. We are looking for someone with a good blend of business consulting skills and a data analytics background. If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you. RESPONSIBILITIES: • Work on the latest applications of data science to solve business problems in Pharma and Lifescience domain, • Work directly with client stakeholders to translate business problems into high-level analytics solution designs, • Knowledge of advanced analytics approaches and methodologies and best practices of leveraging data to drive informative decisions, • Proficiency in using advanced analytics to drive business value including ROI/value assessment, digital KPI tracking, campaign measurement, etc, • Experience in generating insights from reports and summarizing for brand teams, • You will be responsible for account management, client relationships, and account growth, • You will be responsible for scaling pilots / POCs to a long-term transformative program and delivering continuous business value, • Fluency with pharma data sources such as Veeva and IQVIA (Plantrak, LAAD, PE, etc) including RWD sources such as TriNetX, Flatiron, Optum, Komodo etc., • Experience working with all levels of management and consulting with key business stakeholders., • Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value, • Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytics solution, • 14 - 18 years of professional work experience with at least 10 years in data analytics, • Strong experience working on Patient Services, • Experience in building product suite for Global Access and Value team, • Deep understanding of pharma dataset, KPIs, and insight needs across different HQ and field personas across commercial, PSS, and market access, • Ability to engage with executive/VP level stakeholders from client’s team to translate business problems to high level analytics solution approach, • Strong knowledge of Life Science and Pharma domain, • Experience in specialty drug and rare diseases, • Strong project management and team management skills and ability to work with global teams, • Strong SQL skills and hands-on experience with analytic tools like R & Python & visualization tools like Power BI or Tableau, • Strong understanding of standard data sources—especially pharmacy, HUB, CRM, IQVIA, alignments, and related datasets—along with the nuances and quality controls required to ensure accuracy, • Experience in developing hypotheses and validating them through data analysis to identify and investigate trends, • Experience in building and maintaining reports, with a focus on optimizing effort through automation, • Experience in managing large accounts and active involvement in account growth. P&L ownership in the past would be an added advantage Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

This role requires someone who is comfortable working with large datasets, transforming data, and collaborating with cross-functional teams in a fast-paced environment. Knowledge of Data Modeling and exposure to Data Modeling Tools is a plus. Perform data validation, quality checks, and troubleshoot

Proficiency in guidewire data model, rules, and integration technologies. Proficiency in guidewire data model, rules, and integration technologies. Proficiency in guidewire data model, rules, and integration technologies.

DataAnnotation is committed to creating high-quality AI. Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management A current, in progress, or complete

DataAnnotation is committed to creating high-quality AI. Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management A current, in progress, or complete

DataAnnotation is committed to creating high-quality AI. Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management A current, in progress, or complete

DataAnnotation is committed to creating high-quality AI. Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management A current, in progress, or complete

DataAnnotation is committed to creating high-quality AI. Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management A current, in progress, or complete

The candidate will design data ingestion pipelines, establish data architecture, and implement data governance protocols. A Bachelor's degree in engineering or computer science and at least 3 years of experience in data management, database development, and cloud services are required. A leading tec