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The Data Science team of the North America Data Analytics division at Chubb is seeking an experienced Senior Data Scientist with 4+ years of industry experience to join our fast-paced, high-energy team. This team is responsible for building data pipelines and delivering predictive modeling and data science solutions to our business partners that will meet business objectives and move-the-needle to improve upon key performance metrics. As a Senior Data Scientist, you will develop and apply generalized linear models / machine learning solutions to complex business problems to create value for the business. This position offers exposure to a wide variety of analytics tools and technologies as well as unique challenges in problem-solving. Be ready to leverage internal/external data sources as you lead, develop, deploy, and monitor best-in-class model solutions. In this role you will: • Be responsible for and lead the continued development / delivery of new and existing processes. Teach / mentor junior staff directly and indirectly., • Collaborate with business partners and peers within the organization to understand and scope the problem, gather business requirements, and develop robust model solutions that drive improvement in key business metrics., • Execute all aspects of analytics initiatives including exploratory data analysis, data preprocessing, model development, model deployment and monitoring., • Synthesize data, to uncover inherent trends in data, to assess impact of data on business usage, and to make recommendations for improvement., • Thoughtfully identify and construct predictive variables from both internal and external data sources., • Research, recommend, and implement statistical and other mathematical methodologies appropriate for the given business problem., • Create/Maintain excellent working relationships with business partners across the Chubb organization including Product, Actuarial, IT, and analytics peer groups., • Provide supporting documentation for the models developed including documentation of methodologies used, data issues encountered, and responses to regulatory requests., • Required:, • Hands on experience utilizing both supervised and unsupervised ML algorithms., • Excellent understanding of data mining, predictive modeling, and data visualization., • Advanced knowledge of model tuning, evaluation, and operationalization., • Significant programming experience in either Python or R., • Significant programming experience in SQL., • Working knowledge/familiarity with Git version control., • Ability to communicate effectively to both technical and non-technical audiences in written, oral and presentation formats., • The ability to multi-task, learn new things quickly, and demonstrate excellent problem-solving skills., • Preferred:, • Prior experience in personal lines insurance, and / or knowledge of actuarial concepts., • Experience in architecting and consuming APIs at scale., • Experience with Deep Learning libraries (Tensorflow / Keras, PyTorch, MXNet, etc.)., • Experience with Text Analytics and Natural Language Processing., • Prior exposure to auto-ML platforms or technologies like H2O or DataRobot., • Hands-on experience with big data technologies and cloud (Databricks / Spark, Azure/AWS/GCP)., • Comfortable with command line (Linux, Windows) scripting., • Experience with at least one other programming language aside from Python or R, like Julia, Scala, Go, Java, or C++., • Prior exposure to NoSQL databases. Education: • The candidate should have 4+ years of industry experience building, deploying, and analyzing generalized linear models or machine learning models, and should hold a graduate degree in a technical field such as Statistics, Computer Science, Data Science, Bioinformatics, Physics, Mathematics, Economics or Engineering. Location: • We are open to the following work locations for this position: (Philadelphia, PA - Jersey City, NJ - Whitehouse Station, NJ - Simsbury, CT)., • Please note there will be limited expected travel to various work locations for in person collaboration and meetings. The pay range for the role is $103,700 to $176,300. The specific offer will depend on an applicant’s skills and other factors. This role may also be eligible to participate in a discretionary annual incentive program. Chubb offers a comprehensive benefits package, more details on which can be found on our careers website. The disclosed pay range estimate may be adjusted for the applicable geographic differential for the location in which the position is filled. Chubb is a world leader in insurance. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance, and life insurance to a diverse group of clients. The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally. At Chubb, we are committed to equal employment opportunity and compliance with all laws and regulations pertaining to it. Our policy is to provide employment, training, compensation, promotion, and other conditions or opportunities of employment, without regard to race, color, religious creed, sex, gender, gender identity, gender expression, sexual orientation, marital status, national origin, ancestry, mental and physical disability, medical condition, genetic information, military and veteran status, age, and pregnancy or any other characteristic protected by law. Performance and qualifications are the only basis upon which we hire, assign, promote, compensate, develop and retain employees. Chubb prohibits all unlawful discrimination, harassment and retaliation against any individual who reports discrimination or harassment.

Job Description Integration Data Engineer MUST be local to Iselin, NJ, Hybrid Schedule at least 3 days onsite Salary Range: $77k to $135k No Sponsorship Available We are seeking an Integration Data engineer with a background in SQL and data warehousing for enterprise level systems. The ideal candidate is comfortable working with business users along with business analyst expertise. Major Responsibilities: • Design, develop, and deploy Databricks jobs to process and analyze large volumes of data., • Collaborate with data engineers and data scientists to understand data requirements and implement appropriate data processing pipelines., • Optimize Databricks jobs for performance and scalability to handle big data workloads., • Monitor and troubleshoot Databricks jobs, identify and resolve issues or bottlenecks., • Implement best practices for data management, security, and governance within the Databricks environment. Experience designing and developing Enterprise Data Warehouse solutions., • Demonstrated proficiency with Data Analytics, Data Insights, • Proficient writing SQL queries and programming including stored procedures and reverse engineering existing process, • Leverage SQL, programming language (Python or similar) and/or ETL Tools (Azure Data Factory, Data Bricks, Talend and SnowSQL) to develop data pipeline solutions to ingest and exploit new and existing data sources., • 5+ years - Enterprise Data Management, • 5+ years - SQL Server based development of large datasets, • 5+ years with Data Warehouse Architecture, hands-on experience with Databricks platform. Extensive experience in PySpark coding. Snowflake experience is good to have, • 3+ years Python (numpy, pandas) coding experience, • 3+ years' experience in Finance / Banking industry – some understanding of Securities and, • Banking products and their data footprints., • Experience with Snowflake utilities such as SnowSQL and SnowPipe - good to have, • Experience in Data warehousing - OLTP, OLAP, Dimensions, Facts, and Data modeling., • Previous experience leading an enterprise-wide Cloud Data Platform migration with strong architectural and design skills, • Capable of discussing enterprise level services independent of technology stack, • Experience with Cloud based data architectures, messaging, and analytics, • Superior communication skills, • Cloud certification(s) preferred, • Minimally a BA degree within an engineering and/or computer science discipline, • Master's degree strongly preferred

Job Description Akkodis is seeking a Senior Full Stack .NET Developer for a contract job with a client in Jersey City, NJ, or Chicago, IL. The ideal candidate will have experience, including prior exposure to the financial sector, preferably in Capital Markets. Rate Range: $60/hour to $68/hour; The rate may be negotiable based on experience, education, geographic location, and other factors. Senior Full Stack .NET Developer job responsibilities include: * Developing full-stack applications with a focus on Angular, C#, and cloud computing technologies. * Collaborating with cross-functional teams to design, develop, and deploy solutions. * Participating in continuous integration and deployment using Jenkins and Ansible. * Ensuring high-quality code and performance through code reviews and collaboration. Desired Qualifications: * 10+ years of experience in Full Stack Development, with expertise in C#, Angular (7+), .NET Core, and .NET Framework. * Strong programming skills in JavaScript, NodeJS, ASP.NET, WebAPI, and Python. * Experience with Angular Web Components, PWA architecture, and responsive design frameworks (Bootstrap, Flexbox, Grid). * Familiarity with tools like Swagger and continuous integration strategies using Jenkins and Ansible. * Excellent communication, teamwork, and problem-solving skills. * Experience working in Agile environments and familiarity with source code repositories like GIT. If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at . Pay Details: $60.00 to $68.00 per hour Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Equal Opportunity Employer/Veterans/Disabled To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: • The California Fair Chance Act, • Los Angeles City Fair Chance Ordinance, • Los Angeles County Fair Chance Ordinance for Employers, • San Francisco Fair Chance Ordinance Massachusetts Candidates Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Company DescriptionGlobal Footprint, Local Impact: As part of the world's second-largest ER&D company, you'll join a network of 50,000 professionals across 30 countries, each contributing to impactful projects worldwide while benefiting from a close-knit community at a local level. Diverse Career Paths: With services ranging from specialist recruitment to cloud infrastructure and sustainability, Akkodis offers a multitude of career paths. Whether you're a software developer, data analyst, or sustainability expert, there's a place for your skill set. Commitment to Innovation: Innovation is our cornerstone. With continuous investments in analytics and market intelligence, we not only predict the future of technology – we create it. Your ideas and innovations will have the space to flourish. Continuous Learning and Development: The Akkodis Academy offers unrivaled opportunities for learning and professional growth, ensuring you remain at the forefront of your field. Our culture values continuous improvement, both for our company and for your career. Inclusive and Collaborative Culture: We believe in the power of diverse perspectives and collaborative work environments. At Akkodis, you'll find a community where inclusivity drives innovation and where every voice is heard. Our Evolution and Your Role in It Akkodis emerged from the strategic merger of AKKA Technologies and Modis in 2023, under the Adecco Group. This fusion created a powerhouse in digital engineering and technology, blending European engineering finesse with global technological capabilities. As we write our next chapter, your skills and vision will be instrumental in driving our continued success. Empowering the Future We're not just creating solutions; we're empowering industries to be more efficient, sustainable, and forward-thinking. Our work in industrial automation, product development, and custom software solutions is setting new standards in technology and engineering. Join the Akkodis Community At Akkodis, you're more than just an employee – you're a vital part of a community shaping the future. We're excited to see where your expertise can take us. Discover where you fit in our diverse range of opportunities and start engineering a smarter future with us today.Global Footprint, Local Impact: As part of the world's second-largest ER&D company, you'll join a network of 50,000 professionals across 30 countries, each contributing to impactful projects worldwide while benefiting from a close-knit community at a local level.\r\n\r\nDiverse Career Paths: With services ranging from specialist recruitment to cloud infrastructure and sustainability, Akkodis offers a multitude of career paths. Whether you're a software developer, data analyst, or sustainability expert, there's a place for your skill set.\r\n\r\nCommitment to Innovation: Innovation is our cornerstone. With continuous investments in analytics and market intelligence, we not only predict the future of technology – we create it. Your ideas and innovations will have the space to flourish.\r\n\r\nContinuous Learning and Development: The Akkodis Academy offers unrivaled opportunities for learning and professional growth, ensuring you remain at the forefront of your field. Our culture values continuous improvement, both for our company and for your career.\r\n\r\nInclusive and Collaborative Culture: We believe in the power of diverse perspectives and collaborative work environments. At Akkodis, you'll find a community where inclusivity drives innovation and where every voice is heard.\r\n\r\nOur Evolution and Your Role in It\r\n\r\nAkkodis emerged from the strategic merger of AKKA Technologies and Modis in 2023, under the Adecco Group. This fusion created a powerhouse in digital engineering and technology, blending European engineering finesse with global technological capabilities. As we write our next chapter, your skills and vision will be instrumental in driving our continued success.\r\n\r\nEmpowering the Future\r\n\r\nWe're not just creating solutions; we're empowering industries to be more efficient, sustainable, and forward-thinking. Our work in industrial automation, product development, and custom software solutions is setting new standards in technology and engineering.\r\n\r\nJoin the Akkodis Community\r\n\r\nAt Akkodis, you're more than just an employee – you're a vital part of a community shaping the future. We're excited to see where your expertise can take us. Discover where you fit in our diverse range of opportunities and start engineering a smarter future with us today.

Job DescriptionDescription: A software developer intern is an entry-level team member, typically a student or recent graduate, who joins a software development team to gain hands-on experience in coding, designing, and maintaining software systems. Interns often work under the guidance of senior developers or mentors to learn and contribute to real-world projects. Key Characteristics of a Software Developer Intern: 1. Learning-Oriented: · Their primary goal is to learn industry practices, tools, and workflows. · They observe and apply concepts from their education to practical problems. 2. A software developer intern is an entry-level team member, typically a student or recent graduate, who joins a software development team to gain hands-on experience in coding, designing, and maintaining software systems. Interns often work under the guidance of senior developers or mentors to learn and contribute to real-world projects. Key Characteristics of a Software Developer Intern: 1. Learning-Oriented: · Their primary goal is to learn industry practices, tools, and workflows. · They observe and apply concepts from their education to practical problems. 2. Responsibilities: · Writing and testing code under supervision. · Assisting with debugging and fixing software bugs. · Creating or updating documentation. · Learning about the software development lifecycle and development methodologies (e.g., Agile, Scrum). 3. Skills and Tools: · Familiarity with programming languages such as Python, Java, or JavaScript. · Basic knowledge of version control systems like Git. · Awareness of frameworks, libraries, or tools relevant to the team’s tech stack. · Exposure to database systems, APIs, or cloud platforms is a plus. 4. Supervision and Mentorship: · Interns often work closely with assigned mentors or team members. · Their work is regularly reviewed to ensure quality and adherence to standards. 5. Professional Development: · They gain experience in communication, collaboration, and problem-solving. · Interns are introduced to workplace expectations, such as meeting deadlines and adapting to feedback. What Makes a Good Software Developer Intern: · Eagerness to learn and adapt. · Strong problem-solving skills. · A proactive attitude in asking questions and seeking guidance. · Basic coding knowledge and a willingness to improve. · Good communication and teamwork skills. 5. Professional Development: · They gain experience in communication, collaboration, and problem-solving. · Interns are introduced to workplace expectations, such as meeting deadlines and adapting to feedback. What Makes a Good Software Developer Intern: · Eagerness to learn and adapt. · Strong problem-solving skills. · A proactive attitude in asking questions and seeking guidance. · Basic coding knowledge and a willingness to improve. · Good communication and teamwork skills. Requirements: Responsibilities: · Writing and testing code under supervision. · Assisting with debugging and fixing software bugs. · Creating or updating documentation. · Learning about the software development lifecycle and development methodologies (e.g., Agile, Scrum). 3. Skills and Tools: · Familiarity with programming languages such as Python, Java, or JavaScript. · Basic knowledge of version control systems like Git. · Awareness of frameworks, libraries, or tools relevant to the team’s tech stack. · Exposure to database systems, APIs, or cloud platforms is a plus. 4. Supervision and Mentorship: · Interns often work closely with assigned mentors or team members. · Their work is regularly reviewed to ensure quality and adherence to standards.

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 one of the highest-rated employers on Glassdoor. If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you. • Mentorship and solution support to client-facing Data Engineers across key accounts, • Review data engineer work and proactively establish the adoption of best practices and frameworks that improve productivity and client satisfaction, • Work with the DevOps, MLE team to onboard and productionize Data Science models at scale., • Implement and manage production management processes around data ingestion, transformation, coding utilities, storage, reporting, and other data integration points., • Coordinate between onsite and offshore leadership for regular updates, • Engage key client stakeholders to, • Review and provide the best solutions on the existing or new architecture requirements., • Recommend strategies to improve resiliency, security, and optimize costs., • Analyse, architect, design, and actively develop analytics frameworks, data lakes, and other cloud-based data solutions., • Bachelor’s degree in Computer Science/or any relevant experience in Information systems., • 10 years of experience in the IT field with hands-on experience in system administration and automation, • 3-5 years of strong hands-on experience with AWS(or another cloud) in building a Data and Analytics platform on the cloud., • 1+ years of experience with deploying services on Kubernetes on-prem or on-cloud, • 3-5 years of strong hands-on expertise on Cloud (AWS/Azure/GCP) with strong experience in working with modern data and analytics frameworks, big data, and DevOps techniques, and is proficient with programming languages (like Python, Java, Scala)., • 1-2 yrs experience with Cloud data warehouse (Redshift, Snowflake, BigQuery), • Solid understanding of building Data Lakes on Cloud environments - Data Integration, Data Pipeline, Data compute, ML Models and Storage, etc., • Solid knowledge of and experience with Big data and Stream processing frameworks - Spark, Flink, or other, • Knowledge of delta lake or similar technology, • Exposure to operationalizing ML models @ scale on Cloud, • Solid understanding of DevSecOps and cloud security concepts and how to mitigate security risks in the cloud, • Must understand the Scrum Agile methodology and have worked on a Scrum team., • Knowledge of SQL, non-relational (NoSQL) databases, and Object Stores, • Good experience working on an onsite/offshore model, • Knowledge of networking, firewalls, load balancers, etc., • AWS Professional Architect Certification is preferred 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.

Job DescriptionAbout the Company Our client is a profitable Enterprise SaaS company specializing in data privacy governance, data security, consent management, and regulatory compliance solutions for enterprises. Their innovative, patented Hybrid AI technology ensures seamless compliance with GDPR, CCPA, and other privacy regulations, while providing unified consent and preference management APIs for efficient data handling across multiple channels. With a proven product-market fit and Fortune 100 customers, the company is at the forefront of shaping the future of data privacy and AI-driven compliance. * Company HQ: United States * Product: AI-powered privacy compliance and data governance platform (SaaS) * Candidate Location: Falls Church, VA or Greenville, DE (office 2-3 days per week) * Start Date: As soon as possible The Mission Our client's mission is to contribute to a better society by advocating for proper data protection legislation, responsibly safeguarding customer data, preserving individual privacy rights, and enhancing trust between businesses and consumers through greater transparency. As a technical lead, you will play a critical role in driving the engineering vision and delivering impactful products that address evolving privacy and security challenges. The Opportunity Join a dynamic engineering team as a Forward Deployed Engineer (Full Stack), where you'll lead technical initiatives, mentor peers, and directly influence the architecture and success of mission-critical privacy and data security products. This is a unique opportunity for an experienced engineer to advance into a Director of Engineering role within 18 months, while working on cutting-edge technology in a collaborative, startup-like environment. What You'll Do * Direct embedding with enterprise customers during implementations * Custom solution development for specific client needs * Ongoing customer relationship management beyond initial deployment * Field-based problem-solving and rapid iteration with clients * Collaborate closely with a cross-functional team to deliver on tight deadlines * Build interactive web applications, RESTful APIs, and efficient algorithms * Optimize application performance, security, and browser compatibility * Lead feature implementation and redesign complex interfaces * Influence technical decisions to ensure quality, scalability, reliability, and security * Mentor and guide other engineers, fostering a culture of excellence and growth What You Bring * Bachelor’s degree or higher in Computer Science or a related field (required) * Minimum 10 years of experience in software engineering roles * Strong experience with LAMP/LEMP stack and Linux command line proficiency * Proven ability to build scalable, load-balanced web applications and APIs * Client-facing experience and strong communication skills * Experience leading and mentoring engineering teams * Startup or fast-paced environment experience with the ability to manage multiple priorities * Willingness and ability to work from the Falls Church, VA or Greenville, DE office 2-3 days per week Preferred Technical Skills * Programming: PHP, JavaScript, Python, Java * Frontend: ReactJS, JQuery, Bootstrap * Backend & API: RESTful APIs, AJAX, microservices architecture * Databases: SQL, NoSQL (Cassandra, MongoDB), Big Data (Hadoop, Hive, HBase) * Caching & Messaging: Redis, RabbitMQ * Linux LAMP/LEMP stack * PHP Java Linux Apache/E(?) SQL AWS * Cloud & Containerization: Docker, AWS, IaaS, PaaS, Elastic Search * DevOps & Version Control: Git, Bitbucket, third-party testing frameworks * Bonus: Security/privacy technologies (encryption, vulnerability assessment) * Bonus: Open-source project contributions * Bonus: Hands-on experience with AI algorithms Key Success Drivers * Strong self-discipline and self-motivation * High ethical standards, honesty, and transparency * Adaptability and comfort wearing multiple hats in a fast-changing environment * Ability to work effectively with diverse team members * Proactive leadership and a collaborative mindset Why Join? * Competitive Salary: $140,000–$180,000 annually (negotiable based on experience) * Comprehensive benefits: 100% paid medical, dental, and vision for employees and families (gold plan with zero out-of-pocket) * Financial Security: 401(k) plan with company match and company-paid life insurance * Hybrid schedule (2-3 days in-office), 2 weeks paid vacation * Career Advancement: Clear path to Director of Engineering within 18 months * Technical Growth: Work with modern technologies, solving complex, meaningful problems * Technical Impact: Significant influence on architecture and engineering practices * Professional Development: Tuition reimbursement for continued education and technical training * Collaborative Environment: Work alongside other talented engineers in a supportive culture * Team Building: Regular company events, celebrations, and team dinners Interviewing Process * HR Screening * Level 1: Phone interview with the Hiring Manager (technical background and client communication skills) * Level 2: On-site interview in the office (skills assessment) * Reference and Background Checks: conducted after successful interviews * Job Offer: provided to the selected candidate We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity, or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law. Compensation Range: $124K - $198K

Job Description Overview CTG is seeking to fill a Senior Site Reliability Engineer opening for our client in Jersey City, NJ. Location: Jersey City, NJ (100% Onsite) Duration: 6 months Duties: * Administer and optimize Kubernetes clusters (Amazon EKS and Red Hat OpenShift), including upgrades, scaling, and security controls. * Manage middleware platforms such as Apache Kafka, Redis Enterprise Clusters, and 3 Scale API Gateway. * Automate manual operations using Infrastructure-as-Code (IaC) and configuration management tools (Helm, ArgoCD, Terraform, Ansible, etc.). * Design and implement monitoring dashboards and alerts with Prometheus, Grafana, ELK, and Splunk. * Instrument distributed applications (Java, Node.js, Python) to meet SLOs with tracing, metrics, and logging. * Define SLIs/SLOs, manage error budgets, and lead incident response and root cause analysis. * Forecast capacity, monitor utilization, and tune performance of applications and clusters. * Implement container security and policy governance with tools such as OPA/Gatekeeper, Kyverno, Trivy, Clair, and Snyk. * Configure Kubernetes network segmentation (NetworkPolicy, Calico) to secure traffic and enforce reliability. Skills: * Strong hands-on expertise with Kubernetes (EKS and/or OpenShift), Helm charts, and Operators. * Middleware expertise with Kafka and Redis. * IaC and automation proficiency with Terraform, Ansible, ArgoCD, Helm, or similar tools. * Advanced observability experience with Prometheus, Grafana, ELK/Splunk. * Programming and scripting skills in Python, Shell, or Groovy. * Proficiency in instrumenting distributed applications for observability. * Ability to enforce and maintain high reliability standards using SLO-driven frameworks. * Strong debugging, analytical, communication, and collaboration skills. Experience: * 12+ years overall industry experience. * 6+ years in SRE, DevOps, Platform, or Production Engineering roles. * Proven track record of managing large-scale production systems with high availability. * Certification in EKS/OpenShift administration (CKA, AWS Certified Kubernetes Administrator, Red Hat Certified OpenShift Administrator, or equivalent) preferred. * Nice-to-have: experience with service mesh (Istio, Linkerd), chaos engineering (Chaos Monkey, LitmusChaos), regulated environment security/compliance, and API Gateway platforms (e.g., RedHat 3 Scale). Education: * Bachelor’s degree in Computer Science, Information Technology, or a related field preferred. Equivalent work experience may be considered. Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required. CTG does not accept unsolicited resumes from headhunters, recruitment agencies, or fee based recruitment services for this role. To Apply: To be considered, please apply directly to this requisition using the link provided. For additional information, please contact Rebecca Olan at . Kindly forward this to any other interested parties. Thank you! The expected base salary for this position ranges from $140,000 to $160,000. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, market factors, and where applicable, licensure or certifications obtained. In addition to salary, a competitive benefit package is also offered.

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 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. Are you a Machine Learning Engineer with expertise in Google Cloud Platform (GCP) and Vertex AI? We are looking for two talented professionals to join our team in a fully remote, onshore capacity. If you thrive in building and deploying scalable AI solutions, this role is for you! What You'll Do: • Collaborate with cross-functional teams to design and deploy ML models., • Develop reusable, scalable code for AI/ML applications., • Leverage GCP services to build end-to-end machine learning pipelines. Key Requirements: • Google Cloud Platform (GCP) Experience: Strong proficiency in GCP services, including data engineering and machine learning tools., • Google Vertex AI Expertise: Hands-on experience with model training, deployment, and optimization using Vertex AI., • Model Development & Deployment: Proven ability to design, build, and productionize machine learning models., • API Development: Skilled in developing robust APIs for seamless integrations., • Python Programming with CI/CD: Experience in Python-based applications and implementing CI/CD pipelines. Why Join Us? • Work remotely while contributing to cutting-edge projects., • Collaborate with a dynamic team passionate about AI/ML innovation., • Opportunity to work with the latest Google Cloud technologies. Ready to take the next step? Apply now and be part of a team that’s shaping the future of AI! Benefits 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.

Job Description Mastech Digital provides digital and mainstream technology staff as well as Digital Transformation Services for all American Corporations. We are currently seeking a Senior KDB+ Developer for our client in the Financial Services domain. We value our professionals, providing comprehensive benefits and the opportunity for growth. This is a Contract position, and the client is looking for someone to start immediately. Duration: Long term Contract Location: Boston, MA, Merrimack, NH, Jersey City, NJ, or Westlake, TX (2 weeks in a month to office) Salary: $160,000-$175,000/ Per Annum plus Benefits)/$90.00-$100.00/Hourly (AI) Role: Senior KDB+ Developer Primary Skills: Java Role Description: The Senior KDB+ Developer must have 5+ years of experience. As a senior KDB+ Developer you will work within the Regulatory Reporting Technology team to build and maintain critically important brokerage applications for the enterprise. You will be collaborating with the regulatory reporting business team and other brokerage technology teams to develop applications for reporting across multiple assets classes with very high levels of regulatory scrutiny. This role is passionate about hands-on development and delivery, which requires a combination of both good technical skills, and participation in architecture, design and analysis activities. The Expertise and Skills You Bring: • A deep understanding of various programming languages, • Hands-on experience in application deployment automation and pipelines, • Experience in at least “foundational” development languages (KDB, Java, Python) for 10 or more years is a must, • Experience with Linux, bash is a must, • Experience with Apache Kafka and other event streaming platforms is a plus, • Experience executing projects as a team in Agile environments (Kanban and Scrum), • Experience in user interface frameworks/platforms (Angular, React, etc.) for 5 or more years, • Experience with relational and NoSQL databases, • Experience with DevOps, Continuous Integration and Continuous Delivery (Kubernetes, Maven, Jenkins, Stash, Ansible, Docker), • Experience using source control for feature-driven development in Bitbucket/Stash/Git, • Experience working with Artifactory and familiarity with API registries (e.g., Apigee), • Familiarity with automated deployment in uDeploy, • Ability to learn new things, new technology, and tackle problems, • Experience with REST microservice architecture Must Have Skills: • Extensive experience with KDB+, • Proficient in Linux, Python and Java, • Familiar with Control M, • Highly proficient in managing High volume of data set. Education: Bachelor’s degree Experience: Minimum 5+ years of experience Relocation: This position will not cover relocation expenses Travel: No Local Preferred: Yes Note: Must be able to work on a W2 basis (No C2C) Recruiter Name: Vidushi Thakur Recruiter Phone: 484-331-3214 Benefits: We have various coverages and additional benefits to choose from: • Medical, Dental (Including Ortho) & Vision Insurance (Option to Enroll)., • Paid Leaves (Wherever applicable)., • Life & Disability Coverage (Upon eligibility)., • 401K Option, Education Assistance Program and more. Mastech Digital is an Equal Opportunity Employer - All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. #LI-VT1 #Mastech1

Job Description We are a leading provider of integrated building management systems and networking solutions for organizations across multiple industries. We offer complete services for BMS, automated control systems, systems integration, critical airflow solutions, and energy management systems. Our clients, including hospitals, corporations, schools, apartment buildings, financial institutions, and more, benefit from our expertise in delivering seamless integration across their facilities. We are seeking an experienced Control Systems Field Engineer to support the startup, testing, troubleshooting, and commissioning of control systems software. This role requires strong technical expertise and a client-focused mindset, with regular interaction on-site with both internal teams and customers. Candidates must be open to traveling up to 75% regionally. Key Responsibilities: • Provide field programming, development, and engineering support for PLC, SCADA, or BAS platforms., • Debug, test, and verify control systems software to meet project requirements., • Configure software and hardware integrations, including gateways, meters, and communication interfaces., • Identify, troubleshoot, and resolve software-related faults using diagnostic tools and system utilities., • Calibrate control instruments and fine-tune systems for optimal performance., • Support on-site commissioning and address client concerns during project execution., • Train end users on software operation, maintenance, and troubleshooting., • Document project work thoroughly, including technical updates and progress reports., • Collaborate with engineering and installation teams to ensure full system integration., • Ensure compliance with all safety standards and risk mitigation procedures., • Recommend and implement improvements to system reliability, performance, and security., • In-depth knowledge of control systems (PLC, SCADA, DCS, HMI)., • Strong programming skills (e.g., Ladder Logic, Python)., • Experience with communication protocols such as Modbus and OPC., • 5 to 7 years of experience in PLC, SCADA, or Building Automation Systems (BAS)., • Proficiency in BACnet and at least one major control systems platform., • Experience in systems engineering or technical lead roles preferred., • Familiarity with industry programming languages and networking protocols., • Base Salary of $75k to $100k., • Medical, dental, and vision insurance., • 401(k) retirement plan with company match., • Employee Stock Ownership Plan (ESOP) become a company owner., • Paid time off (PTO) and holidays., • Company-provided training and certifications., • Travel reimbursement (if applicable). Joining our team means becoming part of an Employee Stock Ownership Plan (ESOP) company. If you're unfamiliar with an ESOP, you're not alone; fewer than 7,000 companies in the US offer this unique benefit. Working for an ESOP is a life-changing opportunity because our benefits extend to every single employee-owner. This means that when you contribute to our success and go the extra mile to satisfy our customers, you directly share in the growth and prosperity of the company. Our ESOP empowers you to take pride in your work and enjoy the financial rewards of our collective achievements

Job Description Data Management and Storage: • Design and implement data storage systems using Azure services like Azure SQL Database, Azure Data Lake Storage, and Azure Synapse., • Develop and implement data integration processes using Azure Data Factory., • Utilize big data technologies such as Apache Spark., • Create data processing workflows and pipelines to support data analytics and machine learning applications., • Build and maintain new and existing applications in preparation for a large-scale architectural migration within an Agile function., • Monitor and optimize data pipelines and database performance to ensure data processing efficiency., • Build interfaces for supporting evolving and new applications and accommodating new data sources and types of data., • Document data engineering processes, data models, and pipelines to ensure transparency and maintainability., • Bachelor's degree Computer Science or a related field., • 5+ of experience in building data and analytics platform focused on Azure data and analytics solutions., • Expertise in Azure services such as Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake Proficiency in:, • Software development and scripting languages, • ETL tools (e.g., SSIS, Azure Data Factory, Power BI Dataflow)., • Database management (MSSQL, Azure SQL Database, Azure Data Lake Storage, and Azure Synapse)., • Knowledge of data modeling and data warehousing concepts., • Excellent problem-solving and troubleshooting abilities., • Attention to detail and commitment to data accuracy., • Experience with cloud-based data migration., • Strong analytical and problem-solving skills, with ability to conduct root cause analysis on system, process or production problems and ability to provide viable solutions., • Experience working in an Agile environment with Scrum Master/Product owner and ability to deliver., • 3+ years of programming experience in Python/Pyspark., • 7+ years of experience in Microsoft Azure., • Knowledge of Jira, Confluence, SAFe development methodology & DevOps.

Job Description This is a remote position. SR DATA SCIENTIST Duration: 12+ months What problem are we trying to solve: • The Senior Data Scientist will support our organization's data-driven initiatives by providing insights, developing predictive models, and driving data-centric decision-making across various business domains., • This role will act as the primary contact for advanced analytics projects, collaborating with cross-functional teams to extract valuable insights from complex datasets. Tech Stack • Embedded within product development teams. Responsibilities include: • Building and evaluating models., • Refining business-defined measures and metrics., • Supporting dynamic and creative approaches to data science., • Tech environment: AWS, Python preferred (other languages possible), avoiding excessive language spread. Hard Requirements: Technical Skills: Common Technologies/Tools: Programming Languages: Python, R, SQL Data Visualization Tools: Tableau, Power BI, DataDog Version Control Systems: Git, GitHub Project Management Tools: Jira, Confluence Cloud Platforms: AWS, Azure, Google Cloud Platform Data Warehousing: Redshift, BigQuery, Snowflake Soft Skills: • Advanced Statistical Analysis and Modeling, • Proficiency in statistical methods and machine learning algorithms., • Experience with predictive modeling and forecasting. Programming and Scripting: • Strong programming skills in Python or R., • Proficient in SQL for database querying., • Data Visualization and Storytelling, • Ability to create compelling visualizations to communicate insights., • Experience with data visualization tools like Tableau, Power BI, or DataDog., • Problem-Solving and Critical Thinking, • Strong analytical skills to tackle complex business challenges., • Ability to think strategically and provide data-driven recommendations., • Communication and Collaboration, • Excellent verbal and written communication skills., • Ability to work effectively in cross-functional teams., • Knowledge of Software Development Lifecycle ( SDLC ), • Understanding of best practices in software and data pipeline development. Requirements • 60%+ of this gig is building LLMs - and doing so from scratch. Hence the need for DS with, a) this expertise; and, b) have done so in a commercial setting [as opposed to academia when in a Research capacity]., • They need to have built the LLMs, built the pipelines, deployed 'em and managed/monitored 'em., • These LLMs must have had a quantifiable business impact which is demonstrable on the resume and in an interview., • Finally.....as for alGORITHM/MLexpertise, we need to find folks with the following: "... knowledge of statistics and have developed ML models like Random Forst, XGboost, Regression, and other classification and regression forecasting... " In summary....these DS roles are very similar to those of Toyota Connected. Guys who can do it all - interface and gather Clients from stakeholders, build the models, deploy, manage and utilize. They won't get much in the way of technical or business direction - they will be self-sufficient and the ones who drive the insights, "Look what I found.... " bus. They CANNOT be the types who just sit at their desk crunching numbers, publishing reports and onto the next. They need to be on the front foot and pushing the boundaries.

Job Description Position: Lead Data Scientist Company Overview: Direct Recruit Agency is a leading recruitment agency that specializes in placing top talent in various industries. Our mission is to connect exceptional candidates with the best companies, providing them with the opportunity to grow and thrive in their careers. Job Summary: We are seeking a highly skilled and experienced Lead Data Scientist to join our team. As the Lead Data Scientist, you will be responsible for leveraging VertexAI to lead the design, development, deployment, and governance of machine learning models that power and optimize our risk underwriting to achieve business objectives. You will work closely with our clients to understand their business needs and develop data-driven strategies to help them achieve their goals. Key Responsibilities: • Design, develop, and deploy models that are used for risk underwriting, risk management, limit setting, pricing, and customer acquisition and engagement optimization., • Analyze diverse datasets, including but not limited to credit bureau, customer behavior, and alternative data, to extract meaningful insights and patterns, identifying actionable opportunities for optimization and innovation., • Lead and mentor a team of data scientists and analysts, providing guidance and support., • Conduct exploratory data analysis, feature engineering, and model selection to optimize performance and enhance predictive accuracy., • Implement and maintain scalable machine learning pipelines and workflows on Google Cloud Platform, ensuring reliability, scalability, and efficiency., • Leverage Google Dataflow to process large-scale data and build scalable data processing pipelines., • Evaluate model performance and govern deployed models using appropriate metrics, techniques, and scalable automated methods., • Maintain model documentation and perform ongoing refits/retraining of existing models to ensure models are always at or near optimal performance and risks of degradation are avoided or managed., • Design experiments, measure, test, and conduct readouts to optimize and test the underwriting process, offers, and customer engagement., • Collaborate with engineering teams to integrate machine learning models into production systems, monitor performance, and troubleshoot issues., • Contribute to developing best practices, standards, and documentation for machine learning processes and methodologies., • 7+ years of experience in data science or machine learning roles, with expertise in developing and deploying machine learning models, preferably with a background in consumer credit risk and the lending space., • 2+ years of experience leading and managing data scientists and/or data analysts., • Degree in Computer Science, Statistics, Mathematics, or a related field., • Proficiency in Python programming and machine learning libraries (e.g., TensorFlow, scikit-learn) for model development and deployment., • Proficiency in data preprocessing, feature engineering, and model selection techniques to optimize performance., • Familiarity with Google Cloud Platform services, particularly VertexAI and Dataflow, for scalable data processing and model training., • Proficiency in SQL and at least one programming language for developing scalable and efficient machine learning solutions., • Understanding of credit risk models and methodologies., • Strong leadership, communication, and collaboration skills., • Ability to work effectively in a fast-paced, cross-functional environment., • Strong understanding of statistical analysis, hypothesis testing, and experiment design., • Experience using the Scala programming language for developing scalable and efficient machine learning solutions., • 2+ years of experience building and deploying models using Vertex AI., • Competitive salary, • Meaningful equity in the form of stock options, • 401(k) plan, • Discretionary performance bonus program, • Biannual performance reviews, • Medical, Dental and Vision premiums covered at 100% for you and your dependents, • Flexible time off and paid holidays, • Generous parental leave policy, • Commuter benefits, • Fitness benefits, • Healthcare and Dependent care FSA benefit, • Employee Assistance Programs focused on mental health, • Healthcare advocacy program for all employees, • Access to mental health apps, • Team building activities, • Our modern Chelsea-based office with open floor plan, stocked kitchen, and catered lunches If you are a highly motivated and skilled Data Scientist looking to lead a dynamic team and make a significant impact in the banking industry, we want to hear from you! Apply now at Direct Recruit Agency.

Job Description ITnova is seeking a Web Application Developer to support and enhance engineering web applications. The ideal candidate will work on full stack development, integration, and support for .NET-based systems and enterprise tools. Location: Jersey City, NJ Work Type: Hybrid Responsibilities: • Perform services to maintain and enhance existing Engineering customized .Net applications., • Develop and maintain interfaces and integrations between various Engineering applications, including but not limited to data transfer using in-house or third-party web services, SQL Server ETL packages, SharePoint online data import and export, Azure Data Lake data import and export, and Esri GIS integration., • At the direction of the Authority and in coordination with the Application group Project Manager and Technical Lead, design, develop, test and deploy new custom applications, as required., • Maintain and support the SQL Server Report Services (SSRS) reports for Engineering applications., • Must possess a bachelor's degree from an accredited college in Computer Science or a related technical field., • Minimum 5 years strong demonstrated experience in web application full stack development using ASP.Net Web Forms and ASP.Net MVC., • Minimum 5 years strong demonstrated experience in C# programming with a strong understanding of object-oriented programming and design patterns., • Minimum 5 years strong demonstrated experience in developing frontend using HTML, CSS, JavaScript, and jQuery., • Minimum 2 years strong demonstrated experience in developing .NET applications with React.js as the frontend and Node.js as backend middleware or service layers., • Minimum 2 years strong demonstrated experience in database design and development in a Microsoft SQL Server environment including stored procedure, functions, and data modeling, proficient in Entity Framework or other ORM technologies., • Minimum 2 years strong experience developing or maintaining system integration interface, REST API, web services., • Minimum 1 year solid demonstrated experience with version control tools Git and Azure DevOps., • Minimum 1 year solid experience in report development using Microsoft SSRS., • Self-motivated with the ability to prioritize, meet deadlines, and manage changing priorities., • Advanced degrees are highly desirable., • Experience with AI API integration, knowledge of machine learning workflows and leverage pre-trained models is highly preferred., • Experience with UI/UX design in Figma or similar platform is highly preferred., • Experience with build/deployment pipelines and CI/CD processes is highly preferred., • Experience working in an Agile/Scrum development environment., • Experience in Python and Esri GIS data integration is preferred., • Experience with Enterprise Content Management solutions such as SharePoint or OpenText are preferred., • Familiarity with web security best practices and authentication frameworks (e.g., OAuth2, JWT), • Some exposure or knowledge developing or maintaining application in the Azure cloud environment., • Experience working with large public government agencies in construction industry, a plus.

Job Description Join our Data Science team as an Actuarial Data Scientist where you'll architect end-to-end data applications. This role resides on the Data Science team, and you will collaborate closely with the Actuarial team. This person will build data products for actuarial users, and also build actuarial modeling into data products for underwriting, claims, and other users. Additionally, this person will work closely with actuaries, empowering them with tools to streamline and improve their current processes, as well as building new ones. This role bridges sophisticated Python-powered Databricks data processing with engaging Python-driven Streamlit visualizations, offering a unique opportunity to revolutionize how insurance metrics become actionable intelligence. Minimum Qualifications: • Demonstrated knowledge of insurance business fundamentals and their implementation in data systems., • Proficiency in Python programming with experience applying these skills to data processing, analysis, and visualization (ie. Pandas, Plotly)., • Proven ability to maintain high standards of precision in both front-end applications and back-end data pipelines, with excellent troubleshooting and debugging skills., • Demonstrate exceptional ability to distill complex technical concepts into powerful, action-oriented executive summaries that drive decisive business action, with proven experience communicating data insights to both technical and non-technical decision-makers., • Actuarial exam progress (especially CAS Exam 5) preferred., • Hands-on ML experience in an insurance context preferred., • Understand current state actuarial processes throughout the company performed today in SQL and Excel. Build data applications to automate current processes. Innovate to build new and better solutions, unifying best practices in actuarial science, modern data science, and technology., • We have many analyses that use actuarial assumptions. Validate these assumptions and ensure general actuarial soundness throughout our pipelines and analyses., • Build and enhance Python data pipelines to clean and validate data, and to transform the data through actuarial modeling. Implement robust data validation protocols to ensure integrity of the data and accuracy of the calculations and models., • Design and maintain intuitive user-facing dashboards that transform complex data into accessible visualizations, connecting back-end data to interactive front-end reporting tools for stakeholders., • Drive end-to-end system reliability and last-mile validation through rigorous testing methodologies and efficient bug resolution, applying meticulous attention to detail across both Streamlit interfaces and data pipelines while spending significant time troubleshooting complex issues to ensure seamless operation of all analytics tools., • Collaborate directly with stakeholders to understand needs, build requirements, gather feedback iteratively, and present findings. Additional Information: Full benefit package including medical, dental, life, vision, company paid short/long term disability, 401(k), tuition assistance and more. #LI-Onsite

Job Description Microsoft Fabric Data Engineer - 6 month Hybrid full-time role. Our client is seeking a highly experienced Microsoft Fabric Data Engineer to design, build, and optimize our enterprise data and analytics platform. The ideal candidate will be an expert in the Microsoft Azure ecosystem, with deep hands-on experience in data management, ETL/ELT processes, and big data technologies. You will be instrumental in migrating and modernizing our data infrastructure, ensuring it is scalable, performant, and cost-effective to support advanced analytics and business intelligence. Key Responsibilities: • Architect & Implement Data Solutions: Design, implement, and manage scalable data storage and processing systems using Azure services including Azure Data Lake Storage, Azure Synapse Analytics, and Azure SQL Database., • Develop Data Pipelines: Build, maintain, and orchestrate efficient, scalable, and reliable ETL/ELT processes using Azure Data Factory and Apache Spark (PySpark) to integrate data from diverse sources., • Drive Platform Migration: Lead and contribute to the build-out of new applications and the migration of existing ones to a modern cloud-based data architecture within an Agile (SAFe) framework., • Optimize Performance: Proactively monitor, troubleshoot, and optimize data pipelines and database systems for maximum performance, efficiency, and cost-management., • Collaborate in Agile Teams: Work closely with Scrum Masters, Product Owners, and cross-functional teams to deliver high-value features and meet sprint objectives., • Ensure Best Practices: Document data models, engineering processes, and pipelines to ensure clarity, transparency, and long-term maintainability., • Location: Must be local to Newark, New Jersey or the surrounding area., • Azure Expertise: 7+ years of hands-on experience designing and implementing solutions within Microsoft Azure., • Data Platform Focus: 5+ years of proven experience specifically building and optimizing data and analytics platforms on Azure., • Certification: Must possess either the DP-600 (Microsoft Fabric Analytics Engineer) or DP-203 (Azure Data Engineer Associate) certification. Direct hands-on experience with Microsoft Fabric is also highly valued., • Technical Proficiency:, • Expert-level knowledge of Azure Data Factory, Azure Synapse Analytics, Azure SQL Database, and Azure Data Lake Storage (Gen2)., • 3+ years of strong programming experience with Python and PySpark for data processing and automation. Education: Bachelors degree in Computer Science, Information Technology, or a related field. Preferred Skills: • Proficiency with project management and collaboration tools such as Jira and Confluence., • In-depth understanding of SAFe (Scaled Agile Framework) principles and DevOps practices., • Strong knowledge of data modeling, data warehousing concepts, and best practices., • Excellent problem-solving and analytical skills, with a proven ability to perform root cause analysis and implement effective solutions., • Meticulous attention to detail and an unwavering commitment to data accuracy and quality. What's on Offer: • A competitive salary and comprehensive benefits package., • The opportunity to work on a high-impact, large-scale migration project with modern technologies., • A collaborative and innovative work environment that fosters professional growth. If you are a local New Jersey candidate who meets all the "Must-Have" qualifications and is excited to take on this challenge, please apply with your updated resume detailing your relevant experience. Equal Opportunity Employer Fortis Hayes is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Job Description Summary World Insurance Associates is a unique insurance organization offering top products and services from major providers, combined with attentive service from local agents. Founded in 2011, World is one of the fastest-growing insurance brokers in the U.S. with over 2,200 employees in over 260 offices across North America. We specialize in personal and commercial insurance lines, surety and bonding, employee benefits, financial and retirement services, and human capital management solutions. Our rapid growth and market leading presence has created opportunities throughout the state and we offer top talent the choice to work from one of our multiple offices throughout the region. Position Overview This position’s primary responsibility will be to provide technical expertise, coordinate day-to-day deliverables for the data analysis & data governance team and interpret and analyze large datasets. The candidate should be well versed in the fields of analytics, testing, programming, and development; able to research technologies independently to recommend appropriate solutions & should contribute to technology-specific best practices & standards; contribute to success criteria from design through deployment; contribute expertise on significant application components, program languages, databases, operating systems, testing phases etc. Key Responsibilities: • Conduct in-depth analysis of large datasets to identify trends, patterns, and anomalies, • Data cleansing and preparation, including cleaning and preprocessing raw data to ensure accuracy and reliability, developing and implement data quality standards and working with a team to integrate and automate data pipelines, • Create and maintain comprehensive dashboards and reports for key performance indicators, • Use visualization tools (e.g., Tableau, Power BI) to present complex data in an understandable format, • Self-motivated with ability to work effectively with limited supervision, enthusiasm for collaboration, continuous learning, and a team player., • Advanced Excel expertise (pivot tables, VLOOKUPS, Power Pivot, functions, etc.), • Understand importance of code review and automated testing and different levels at which these need to be performed and write and implement tests as required., • Bachelor’s degree or foreign equivalent from an accredited institution. Preferred Qualifications • Experience in design, development, and deployment of BI solutions using PowerBI (DAX, RLS), Python, Pyspark, Google Big query., • Knowledge or experience in implementing solutions with Microsoft PowerApps, Power Automate, and/or Common Data Service (Power Platform)., • Data Governance, Data Quality, Master Data Management knowledge., • 3-5+ years of proven experiences as a data analyst, • 3-5+ years of T-SQL language/query experience with data manipulation (SQL) like stored procedures, functions etc., • Knowledge of data models, data modelling (Relational and Dimensional), Data profiling and working with large data environments., • Strong communication, team player and advance analytical skills to analyze data issues and drive appropriate actions with data operations and business processes. Position Summary This position is located in New Jersey. The base salary for this position at the time of this posting may range from $80,000 to $90,000. Individual compensation varies based on job-related factors, including business needs, experience, level of responsibility, and qualifications. We offer a competitive benefits package and variable pay programs, please visit for more details. Equal Employment Opportunity At World Insurance Associates (WIA), we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our products, and our community to flourish. WIA is honored to be an equal opportunity workplace. We are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, age, citizenship, marital status, disability, gender identity, sexual orientation, or Veteran status. In addition, WIA makes reasonable accommodations to known physical or mental limitations of an otherwise qualified applicant or employee with a disability, unless the accommodation would impose an undue hardship on the operation of our business. TO EXECUTIVE SEARCH FIRMS AND STAFFING AGENCIES: World does not accept unsolicited resumes from any agencies that have not signed a mutual service agreement. All unsolicited resumes will be considered World’s property, and World will not be obligated to pay a referral fee. This includes resumes submitted directly to Hiring Managers without contacting World’s Human Resources Talent Department. #LI-GP1#LI-HYBRID Powered by JazzHR jKlP4eqNrn

Job Description Microsoft Fabric Data Engineer needs 7+ years of experience in Microsoft Azure Microsoft Fabric Data Engineer requires: • 5+ of experience in building data and analytics platform focused on Azure data and analytics solutions., • Expertise in Azure services such as Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake Proficiency in:, • Software development and scripting languages, • ETL tools (e.g., SSIS, Azure Data Factory, Power BI Dataflow)., • Database management (MSSQL, Azure SQL Database, Azure Data Lake Storage, and Azure Synapse)., • Knowledge of data modeling and data warehousing concepts., • Excellent problem-solving and troubleshooting abilities., • Attention to detail and commitment to data accuracy., • Experience with cloud-based data migration., • Strong analytical and problem-solving skills, with ability to conduct root cause analysis on system, process or production problems and ability to provide viable solutions., • Experience working in an Agile environment with Scrum Master/Product owner and ability to deliver., • 3+ years of programming experience in Python/Pyspark., • 7+ years of experience in Microsoft Azure., • Knowledge of Jira, Confluence, SAFe development methodology & DevOps., • Skills: Microsoft Fabric Data Engineer, Microsoft Azure, Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, ETL Tools, Database management, Cloud-based data migration, Python, PySpark

Job Description Role Description: Are you looking for a new career opportunity that will allow you to develop and use cutting-edge AI technologies to solve challenging NLP problems while making a positive impact on the world? If so, we would love to hear from you! Dyania Health is looking for Research Scientists to help us transform the way in which machines process biomedical information, and revolutionize the way in which clinical trials are conducted. You will be working alongside team members with deep technical expertise in NLP, top medical professionals (MDs, pharmacology PhDs, and others), and an experienced product team. The ideal candidate will have strong foundations in computer science and ML/NLP, superb communication skills, and a proven track record of delivery under tight deadlines. Requirements Required Qualifications: • Graduate degree in a relevant field (Computer Science, Mathematics, Electrical Engineering), • 2+ years experience in building and deploying ML models, • Experience in applying transformer-based deep-learning techniques to challenging NLP problems, • Fluency in Python and experience with Python-based ML frameworks such as PyTorch, • Publications in top-tier NLP conferences, • Background in classical computational linguistics, • Design, build, evaluate, and deploy algorithms and models for accurately extracting medical information from structured and unstructured data sources, • Work closely with product, UX, and clinical teams to prototype and test new functionality, • Analyze performance results and convey your analyses to relevant stakeholders • 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.

Job Description Tiger Analytics is an advanced analytics consulting firm that partners with some of the largest global organizations to turn data into actionable insights. We solve complex analytical problems at scale and have built a reputation for delivering valuable data-driven solutions across various industries, including Pharma and Life Sciences. If you are passionate about leveraging data science to address critical challenges in the Pharma & Life Sciences sector, this role is an excellent fit for you. Join us in revolutionizing the healthcare landscape through advanced analytics. Responsibilities • Lead and manage data science projects from ideation to execution, ensuring that they meet client needs and deliver impactful results., • Work closely with clients to understand their business challenges and translate them into data-driven solutions., • Develop and implement advanced analytics models, including predictive and prescriptive analytics, to drive business improvement initiatives in the Pharma & Life Sciences domain., • Utilize a variety of data sources, such as patient data, clinical data, and market intelligence, to generate actionable insights., • Collaborate with cross-functional teams, including data engineers and business stakeholders, to ensure successful deployment of data science solutions., • Mentor and guide junior data scientists and analysts, fostering a culture of learning and innovation., • Present findings and recommendations to executive-level stakeholders, effectively communicating complex concepts in a clear and compelling manner., • 8-12 years of professional experience in data science, analytics, or a related field, with significant exposure to the Pharma & Life Sciences sector., • Strong proficiency in statistical analysis, machine learning techniques, and data mining methodologies., • Hands-on experience with programming languages such as R, Python, and SQL, as well as familiarity with data visualization tools like Tableau or Power BI., • Proven ability to work with large datasets and perform complex data analyses., • Excellent project management skills and the ability to manage multiple projects and priorities effectively., • Strong problem-solving skills and a detail-oriented mindset., • Experience in communicating analytical results to senior management and facilitating decision-making processes. 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.

Experienced Senior Python Developer with a strong background in building scalable, high-performance applications within the financial services domain. Demonstrates expertise in Python application architecture, object-oriented programming, and secure, reusable code development. Designs, develops, and

Responsibilities: • Lead the design, development, and implementation of data solutions using AWS and Snowflake., • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions., • Develop and maintain data pipelines, ensuring data quality, integrity, and security., • Optimize data storage and retrieval processes to support data warehousing and analytics., • Provide technical leadership and mentorship to junior data engineers., • Work closely with stakeholders to gather requirements and deliver data-driven insights., • Ensure compliance with industry standards and best practices in data engineering., • 8+ years of relevant experience in Data Engineering and delivery., • 8+ years of relevant work experience in Big Data Concepts. Worked on cloud implementations., • Strong experience with SQL, python and Pyspark, • Good understanding of Data ingestion and data processing frameworks, • Good experience in Snowflake, SQL, AWS (glue, EMR, S3, Aurora, RDS, AWS architecture), • Good aptitude, strong problem-solving abilities, analytical skills, and ability to take ownership as appropriate., • Should be able to do coding, debugging, performance tuning, and deploy the apps to the Production environment., • Have experience in DevOps tools (Jenkins, GIT, etc.) and practices, continuous integration, and delivery (CI/CD) pipelines., • Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field., • Proven experience as a Data Engineer, with a focus on AWS and Snowflake., • Strong understanding of data warehousing concepts and best practices., • Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders., • Experience in the insurance industry, preferably with knowledge of claims and loss processes., • Proficiency in SQL, Python, and other relevant programming languages., • Strong problem-solving skills and attention to detail., • Experience with data modeling and ETL processes., • Familiarity with data governance and data security practices., • Certification in AWS or Snowflake is a plus.

Full Stack Engineer – Angular/UI/Python We are seeking a skilled Full Stack Engineer with experience in both user interface development and backend services with extensive experience in JavaScript, Angular, CSS/SCSS/HTML, Python, and component libraries packaged for npm. The ideal candidate will have a proven track record in building and maintaining scalable, high-performance web applications, a deep understanding of front-end and back end technologies and best practices, and a commitment to taking ownership and following through on projects. Key Responsibilities: • Design, develop, and maintain complex web applications using JavaScript and Angular., • Create and style responsive, high-quality UIs with HTML, CSS, and SCSS., • Develop and integrate APIs, ensuring seamless interaction between front-end and back-end systems., • Implement and maintain reusable UI components and libraries, packaged for npm., • Develop python scripts/ utilities, back-end PL/SQL procedures, implement database changes., • Tune and monitor, SQL and PL/SQL performance., • Experience in programming in Python, using python packages and REST services., • Code development compliant to the architecture, application framework, and coding standards., • Understand, comprehend and contribute to the use case preparation in context of overall business flow, associated module and the system, • Prepare and execute unit tests and ensure quality code., • Collaborate with product managers, UX designers, and other stakeholders to implement innovative solutions for the product direction, visuals, and experience., • Optimize applications for maximum speed and scalability., • Conduct code reviews, mentor other developers, and enforce coding standards and best practices., • Stay updated with the latest industry trends and technologies to ensure the continuous improvement of our products., • Utilize Jira for agile task management and project tracking., • Demonstrate ownership and follow-through by delivering high-quality solutions and resolving issues proactively., • 12+ years of work exp with last 5+ years of experience in front-end web development with a strong focus on UI., • Expertise in Angular including Angular CLI, RxJS, Redux (NgRx), and state management libraries., • Proficiency in HTML5, CSS3, and SCSS/SASS., • Strong JavaScript skills, with experience in ES6+ features., • Experience in programming in Python, using python packages and REST services., • Proficient in writing SQL queries with complex datasets, • Experience with TypeScript., • Proven experience in building and maintaining component libraries packaged for npm., • Strong understanding of concurrent, parallel, and distributed systems, • Fundamental understanding of events, data streams, and batch processing, • Experience in end to end design, development, testing and deployment of data pipelines to manage enterprise data., • Familiarity with modern front-end build pipelines and tools (Webpack, Gulp, etc.)., • Experience with version control systems, such as Git., • Understanding of RESTful APIs and asynchronous request handling., • Strong problem-solving skills and the ability to troubleshoot complex issues., • Excellent communication and collaboration skills., • Experience with other front-end frameworks and libraries (React, Vue.js, etc.)., • Knowledge of backend technologies and frameworks, particularly Java and Spring Boot., • Familiarity with CI/CD pipelines and DevOps practices., • Experience with testing frameworks and tools (Jasmine, Karma, Protractor, etc.)., • Strong understanding of web security and performance best practices., • Experience with machine learning algorithms and big data processing a plus

Job Description: We are seeking an experienced Oracle HCM Cloud Technical Consultant with a strong background in systems analysis, development, and full-cycle Oracle HCM implementations. The ideal candidate will have expertise in integrations, reporting, and mentoring technical teams. Required Skills & Experience: • 10+ years as a Systems Analyst/Developer, including 3+ years supporting Oracle HCM modules (Core HR, Compensation, Payroll, Talent Acquisition, Talent Management, Benefits, Retirement)., • 7+ years in implementing & supporting at least 2 full-cycle Oracle Cloud HCM projects., • 7+ years of hands-on experience with Oracle Integration Cloud (OIC)., • 7+ years developing OTBI and BIP reports., • 3+ years of experience training and mentoring technical teams., • 5+ years in SQL programming., • Lead technical design, development, and implementation of Oracle HCM Cloud solutions., • Build integrations, reports, and extensions using OIC, OTBI, and BIP., • Support data conversions, workflows, and fast formulas., • Mentor junior team members and coordinate with implementation partners., • Oracle HCM Cloud Certification., • Experience with Redwood Pages, OGL, and Recruitment Booster.

Experience in programming in Python, using. Experience in programming in Python, using.