Data scientist jobs in Atlantic City, NJ

QSE7, a Pennsylvania-based consulting company, is seeking to hire a high-aptitude individual to perform business process optimization, data analysis, and software development services to our pharmaceutical, consumer healthcare and medical device clients. Job Responsibilities As a QSE7 Data Analyst, you will be expected to perform the following services for life sciences clients: Assess and continuously improve key quality, manufacturing and financial business processes Facilitate cross-functional ideation and voice-of-customer (VOC) sessions to identify pain points and opportunities to improve efficiency and effectiveness Analyze current-state data and design future-state data models Automate business processes by configuring and customizing Microsoft SharePoint, Power Apps, and Power Automate Develop sophisticated data analytics reports using Microsoft Power BI and Tableau Analyze data to identify trends and recommend solutions to address potential issues before they arise Perform project management services including documenting meeting minutes, developing project plans, proactively identifying and mitigating risks, and communication project status to team members, senior management and executive leadership Work collaboratively with cross-functional team members to ensure issues are resolved quickly and effectively Qualifications / Experience B.A. or B.S. degree required Deep technical expertise in Microsoft Excel, SharePoint, PowerApps, Power Automate and Power BI; VBA programming skills a plus 3-to-5 years of professional work experience; experience in the life sciences, manufacturing, or other federally regulated industry a significant plus Quantitative data analysis experience Excellent verbal and written communication skills Ability to lead and motivate teammates Ability to work independently and collaboratively in a problem-solving environment Ability to efficiently and effectively provide consulting services from a remote home office Experience with lean / agile methodologies About QSE7 Founded in 2016, QSE7 offers innovative and specialized Information Technology (IT) and Consulting services to FDA-regulated life sciences companies. Our areas of focus include program/project management, process analysis, automated business process improvements, data analytics and reporting, and implementation of IT solutions based on Microsoft technologies, such as Excel, MS Teams, SharePoint, Power BI and Power Automate. We strive to bring automation and efficiency to our clients' processes by providing high-quality and intuitive solutions in an efficient, comprehensive manner.

Thank you for your interest in joining Solventum. Solventum is a new healthcare company with a long legacy of solving big challenges that improve lives and help healthcare professionals perform at their best. At Solventum, people are at the heart of every innovation we pursue. Guided by empathy, insight, and clinical intelligence, we collaborate with the best minds in healthcare to address our customers' toughest challenges. While we continue updating the Solventum Careers Page and applicant materials, some documents may still reflect legacy branding. Please note that all listed roles are Solventum positions, and our Privacy Policy: *************************************************************************************** applies to any personal information you submit. As it was with 3M, at Solventum all qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Job Description: Data Scientist for Medical Document Analysis (Solventum) 3M Health Care is now Solventum At Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough solutions for our customers' toughest challenges, we pioneer game-changing innovations at the intersection of health, material, and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best. Because people, and their wellbeing, are at the heart of every scientific advancement we pursue. We partner closely with the brightest minds in healthcare to ensure that every solution we create melds the latest technology with compassion and empathy. Because at Solventum, we never stop solving for you. The Impact You'll Make in this Role: As a Data Scientist specializing in medical document analysis, you will work at the forefront of healthcare NLP. You will design, implement, and evaluate advanced natural language understanding (NLU) systems that interpret complex clinical text and support data-driven medical decision making. This includes developing models grounded in transformers, generative AI, and research-oriented neural architectures. You will collaborate closely with clinical domain experts, fellow data scientists, ML engineers, and product teams to bring research prototypes into production systems. You will explore new modeling approaches, optimize training pipelines, and contribute to the long-term direction of Solventum's deep learning portfolio. You Will Make an Impact By: Scoping and designing NLP/NLU applications that support clinical understanding of medical documents and downstream healthcare workflows. Translating business and clinical requirements into mathematical and experimental criteria, ensuring models are measurable, reliable, and auditable. Processing, aligning, and enriching diverse structured and unstructured medical datasets for deep learning, LLMs, and agentic AI systems. Developing and evaluating deep learning models, including transformer-based architectures and neural architectures such as CNNs and attention mechanisms for capturing linguistic patterns in clinical text. Understanding and mitigating model weaknesses, including bias, drift, hallucination behavior, and robustness concerns. Designing experiments and error analyses that explain model behavior and enable clear communication with both technical and non-technical audiences. Deploying models into Solventum's cloud environment, partnering with ML engineering to ensure reliability, observability, and compliance within regulated healthcare systems. Staying current with emerging research in NLP/LLMs, evaluating new methods and identifying opportunities to advance Solventum's deep learning initiatives. Your Skills and Expertise To set you up for success in this role from day one, Solventum requires (at a minimum) the following qualifications: Master's degree or PhD in computer science, mathematics, or related fields or Bachelor's degree with at least 5 years of IT experience Solid experience in Python especially in deep learning for text analysis and libraries such as PyTorch and Transformers Solid grasp of statistics and exploratory data analysis US citizenship or permanent resident required Additional qualifications that will help you succeed in the role: Experience conducting research-driven NLP/NLU work involving representation learning, attention mechanisms, or hybrid neural architectures. Ability to self-organize across multiple technical and business contexts, communicating complex findings with clarity and confidence. Experience extracting insights from complex clinical datasets and presenting those insights to varied audiences. Familiarity with AWS, GitHub, CI/CD, and scalable ML deployment practices. Hands-on experience with LLMs, prompting, fine-tuning, or agentic AI frameworks. Experience with ETL of large-scale text using tools such as PySpark, Spark NLP, or distributed data frameworks. Exposure to clinical coding systems or medical terminologies (e.g., ICD, CPT, SNOMED) is a plus. Work location: Remote Travel: Relocation Assistance: Not authorized Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status). Supporting Your Well-being Solventum offers many programs to help you live your best life - both physically and financially. To ensure competitive pay and benefits, Solventum regularly benchmarks with other companies that are comparable in size and scope. Onboarding Requirement: To improve the onboarding experience, you will have an opportunity to meet with your manager and other new employees as part of the Solventum new employee orientation. As a result, new employees hired for this position will be required to travel to a designated company location for on-site onboarding during their initial days of employment. Travel arrangements and related expenses will be coordinated and paid for by the company in accordance with its travel policy. Applies to new hires with a start date of October 1st 2025 or later.Applicable to US Applicants Only:The expected compensation range for this position is $119,076 - $145,537, which includes base pay plus variable incentive pay, if eligible. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate's relevant knowledge, training, skills, work location, and/or experience. In addition, this position may be eligible for a range of benefits (e.g., Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits, etc.). Additional information is available at: *************************************************************************************** of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties. Solventum is committed to maintaining the highest standards of integrity and professionalism in our recruitment process. Applicants must remain alert to fraudulent job postings and recruitment schemes that falsely claim to represent Solventum and seek to exploit job seekers. Please note that all email communications from Solventum regarding job opportunities with the company will be from an email with a domain *****************. Be wary of unsolicited emails or messages regarding Solventum job opportunities from emails with other email domains. Solventum is an equal opportunity employer. Solventum will not discriminate against any applicant for employment on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status. Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly. Solventum Global Terms of Use and Privacy Statement Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at Solventum are conditioned on your acceptance and compliance with these terms. Please access the linked document by clicking here, select the country where you are applying for employment, and review. Before submitting your application you will be asked to confirm your agreement with the terms.

Being on medication is tough enough. We want to make getting it the easy part. Getting prescriptions to patients has become increasingly complex. When things get messy along the prescription journey, pharmaceutical manufacturers rely on us to untangle the process and create a clear path-allowing patients to build trusting relationships with their medication brands. We're not only committed to taking the pain out of the prescription process, but we're also devoted to bringing the brightest minds together under one roof. We bring together diverse voices-engineers, pharmacists, customer service veterans, developers, program strategists and more-all with one vision. Each perspective and experience makes ConnectiveRx better than the sum of its parts. The Data Scientist I collaborates with senior data scientists and engineering teams to support data science projects. They develop machine learning models, statistical solutions, and data-driven insights using Python, SQL, and data visualization tools. They contribute to the design and implementation of ML and DL pipelines, perform statistical analysis, and continuously enhance their technical expertise. Responsibilities Essential Functions Conduct advanced data analysis and modeling to generate insights using statistical models, machine learning, and advanced analytics to support strategic decisions. Communicate with senior executives and stakeholders by translating complex data science concepts into actionable business insights. Lead the execution of high-impact data science initiatives and collaborate with cross-functional teams to ensure successful delivery. Mentor junior data scientists and analysts by promoting best practices in coding, model development, and analytical thinking. Identify emerging trends and opportunities and influence long-term business strategy through predictive modeling and experimentation. Qualifications Education • Master's or Ph.D. degree in Data Science, Computer Science, or a related field is preferred. Experience • One to three years of experience in data science, machine learning, or statistical modeling. Knowledge • Ability to support data-driven decision-making with structured insights. • Ability to collaborate with cross-functional teams to refine analytical solutions. • Ability to apply an understanding of the healthcare and patient support services industry to data-driven recommendations. Skills • Ability to write clean, efficient Python and SQL code and understand object-oriented programming. • Ability to apply basic to intermediate algorithms such as trees, queues, and graph algorithms for data structuring. • Ability to assist in designing and building ML and DL pipelines under the guidance of senior data scientists. • Ability to perform inferential statistics, hypothesis testing, and data modeling. • Ability to use AWS tools such as Lambda, Redshift, and RDS for data management. Competencies Analytical and Logical Reasoning Uses reasoning and critical thinking to identify root causes and work through problems. Analyzes information to determine the most probable cause, collects data to extract relevant information, and evaluates and integrates findings into solutions. Communication (Oral and Written) Listens actively and communicates key issues respectfully. Shares only relevant information and adapts communication to different audiences to ensure clarity. Decision Quality Makes appropriate, informed, and timely decisions while ensuring compliance with company policies and values. Uses analysis, knowledge, experience, and judgment to make effective decisions, even without complete information. Evaluates and prioritizes factors to reach sound solutions. Travel or Physical Requirements • No travel required unless requested. Compliance Requirements Adhere to all company policies, procedures, and training consistent with ConnectiveRx's Information Security and Compliance programs, including SOC1, SOC2, PCI, and HIPAA. Maintain strict compliance with company and client policies regarding business rules, ethics, and applicable local, state, and federal laws. Compensation & Benefits: This position offers opportunities for a bonus (or commissions), with total compensation varying based on factors such as location, relevant skills, experience, and capabilities. Employees at ConnectiveRx can access comprehensive benefits, including medical, dental, vision, life, and disability insurance. The company regularly reviews and updates its health, welfare, and fringe benefit policies to ensure competitive offerings. Employees may also participate in the company's 401(k) plan, with employer contributions where applicable. Time-Off & Holidays: ConnectiveRx provides a flexible paid time off (PTO) policy for exempt employees, covering sick days, personal days, and vacations. PTO is determined based on an employee's first year of service. Employees also receive eight standard company holidays and three floating holidays annually, with prorations applied in the first year. The company remains committed to providing competitive benefits and reserves the right to modify employee offerings, including PTO, STO, and holiday policies, in accordance with applicable laws and regulations. Posted Salary Range USD $72,500.00 - USD $105,600.00 /Yr.

Bachelors or Master's degree with specialization in Computer Science, Information Systems, Mathematics, Statistics or other quantitative disciplines Excellent ability to query large datasets using SQL queries and working with databases Excellent in programming languages such as Java, Python, etc. Experience in data extraction and processing, using MapReduce, Pig, Hive, etc. Proficient programming skills using SAS and/or R Knowledge of building and applying machine learning or predictive modeling Strong problem solving skills Exceptional ability to communicate and present findings clearly to both technical and non-technical audiences Excellent interpersonal and collaboration skills Additional Information Thanks & Regards, Praveen K. Paila ************

The primary purpose of this position is to serve as the data scientist with a split portfolio between the Atlantic City office and the Austin chemistry group. Essential Duties and Responsibilities: Performs data analytics, specifically data clean-up, data processing, predictive modeling, chemometric statistical modeling and analysis, multivariate data analysis, machine learning, and/or data mining, as related to scientific data. Applies technical skills to plan and execute assigned project work including development of computational models, programming of detection algorithms, and machine learning. Maintains operational capabilities of computation assets as needed by project requirements. Leads meetings with company clients by preparing and presenting meeting materials in meetings. Appropriately annotates project developed computer code through comments and user manuals. Presents technical results through the drafting of technical reports. Presents experimental results and recommended actions at internal project meetings. Supports business development efforts as needed by drafting technical sections of proposals, providing proposal review, assessing levels of effort required to complete proposed work, and brainstorming technical solutions to client problems. Other duties as assigned. Required Knowledge, Skills & Abilities: Ability to plan sequence of experiments to answer complicated technical questions Ability to lead group of co-workers in execution of a task Software programming proficiency with Java, C, R, Python, and/or MATLAB Working knowledge of statistics as it applies to scientific data Ability to communicate technical information to non-technical audiences Team player with a positive attitude Department of Homeland Security Suitability Department of Defense Secret Clearance Working knowledge of software development practices including Agile development and Git version control Sufficient business knowledge to support proposal efforts Education/Experience: Incumbent professional should have a Ph.D. or master's degree in a physical science (preferably chemistry), statistics, or data science and significant experience in computer programming, computational modeling, or software development. Certificates and Licenses: None Clearance: The ability to obtain a Secret clearance and Department of Homeland Security suitability is required for this position. Supervisory Responsibilities: The incumbent professional may oversee junior level staff members performing tasks. Working Conditions/ Equipment: The incumbent professional is expected to work and/or be available during regular business hours. He/she should also generally be available via e-mail or phone during non-business hours as needed to address critical issues or emergencies. He/she may be required to travel on behalf of the company up to 25%. The above job description is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow any other instructions and perform any other related duties, as assigned by their supervisor. Powered by ExactHire:160573

Description Background Information:Innovative Defense Technologies(IDT), provider of cutting-edge cloud-based integration, automated testing and data analysis for complex, mission-critical systems in the US Department of Defense (DOD), is seeking a Data Scientist/AI Engineer to be based in our Arlington, VA or Mount Laurel, NJ office. Leveraging advanced software automation, model-based systems engineering (MBSE), and AI-driven capabilities, IDT accelerates capability development, enhances operational readiness, and reduces lifecycle costs for the Department of Defense. The company is dedicated to transforming defense systems through innovation, efficiency, and mission-critical results. Overview:The Data Scientist position offers an engineer the opportunity to showcase their knowledge and talents as part of a collaborative team developing innovative AI and Data Analysis solutions for Innovative Defense Technologies. The responsibilities of this role include leading and supporting feasibility studies, building capabilities to discover explanatory features in high-dimensionality datasets, and developing and integrating state-of-the-art AI/ML solutions to support mission-critical software capabilities. All applicants must be able to obtain/maintain an active U.S. Security Clearance. Responsibilities Include: Develop solutions to deliver analytical and AI/ML capabilities from problem formulation to a productized, deployable, maintainable capability Leverage state-of-the-art theory and technologies to solve complex problems Establish and leverage Big Data frameworks to store, extract and analyze relevant data Develop software solutions by understanding customer requirements and program intent Determine operational feasibility by evaluating analysis, problem definition, requirements, solution development, and proposed solutions Be responsible for solutions that meet software design, quality, and performance requirements Work with minimal supervision in a collaborative work environment to implement best-in-class solutions Minimum Required Qualifications: Bachelor's Degree in Statistics, Data Science, Computer Science, Math, or a quantitative field required; Master's Degree in Data Science or other technical field highly preferred 3+ years of experience in predictive modeling, data science and analysis Required Skills: Previous experience in a ML or data scientist role and a track record of building ML and Data Science capabilities Experience working with data mining and ML algorithms including decision trees, probability networks, association rules, clustering, and neural networks Experience in and knowledge of mathematical optimization techniques, non-linear programming, evolutionary and biologically-inspired optimization algorithms In-depth understanding and knowledge of statistical analysis, sampling, statistical learning theory, and Design of Experiments (DOE) Strong proficiency in Python Experience using ML libraries, such as scikit-learn, PyTorch, Keras, etc. Knowledge of data and information visualization principles and experience using related tools Preferred Skills: Strong software engineering background Skills with other programming languages, such as Julia, Java or C/C++ Demonstrated ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations Experience with application container platforms Familiarity with continuous integration/delivery tools (e.g. Jenkins) Familiarity with version control tools (e.g. Subversion, Git, etc.) Familiarity with VMware or other virtualization software Experience developing applications for DOD command and control systems Familiarity with Large Language Models (LLM) and LLM parameter tuning Familiarity with network science and graph theory Competencies: Solid analytical abilities, coupled with a strong sense of ownership, urgency, and drive Attention to detail Strong sense of intellectual curiosity and desire to learn Initiative, creativity, reliability, teamwork Ability to deal well with ambiguity, prioritize needs, and deliver results in a dynamic environment Price range: $90,000 - $150,000 or $114,000 - $184,000*Pursuant to New Jersey Senate Bill 2310, IDT is required to disclose the “pay scale” or “pay range” associated with a job posting. Notably, however, this amount may not be reflective of actual compensation that may be earned as pay is dependent on a candidate's experience, skills, and education. The posted range does not include bonuses, commissions, tips, or other benefits. Click here for additional information about New Jersey Senate Bill 2310. IDT is often looking to place multiple candidates at various levels. Therefore, more than one pay range has been included, commensurate with experience. EEO Statement:IDT is an Equal Opportunity employer.

The Data Scientist will provide meaningful insight on how to improve our current business operations. Principle Accountabilities/Responsibilities * Work closely with domain experts and SME's to understand the business problem or opportunity and assess the potential of machine learning to enable accelerated performance improvements * Design, build, tune, and deploy divisional AI/ML tools that meet the agreed upon functional and non-functional requirements within the framework established by the Enterprise IT and IS departments. * Perform large scale experimentation to identify hidden relationships between different data sets and engineer new features * Communicate model performance & results & tradeoffs to stake holders * Determine requirements that will be used to train and evolve deep learning models and algorithms * Visualize information and develop engaging dashboards on the results of data analysis. * Build reports and advanced dashboards to tell stories with the data. * Lead, develop and deliver divisional strategies to demonstrate the: what, why and how of delivering AI/ML business outcomes * Build and deploy divisional AI strategy and roadmaps that enable long-term success for the organization that aligned with the Enterprise AI strategy. * Proactively mine data to identify trends and patterns and generate insights for business units and management. * Mentor other stakeholders to grow in their expertise, particularly in AI / ML, and taking an active leadership role in divisional executive forums * Work collaboratively with the business to maximize the probability of success of AI projects and initiatives. * Identify technical areas for improvement and present detailed business cases for improvements or new areas of opportunities. Qualifications/Education/Experience Requirements * PhD or master's degree in Statistics, Mathematics, Computer Science or other relevant discipline. * 5+ years of experience using large scale data to solve problems and answer questions. * Prior experience in the Manufacturing Industry. Skills/Competencies Requirements * Experience in building and deploying predictive models and scalable data pipelines * Demonstrable experience with common data science toolkits, such as Python, PySpark, R, Weka, NumPy, Pandas, scikit-learn, SpaCy/Gensim/NLTK etc. * Knowledge of data warehousing concepts like ETL, dimensional modeling, and sematic/reporting layer design. * Knowledge of emerging technologies such as columnar and NoSQL databases, predictive analytics, and unstructured data. * Fluency in data science, analytics tools, and a selection of machine learning methods - Clustering, Regression, Decision Trees, Time Series Analysis, Natural Language Processing. * Strong problem solving and decision-making skills * Ability to explain deep technical information to non-technical parties * Demonstrated growth mindset, enthusiastic about learning new technologies quickly and applying the gained knowledge to address business problems. * Strong understanding of data governance/management concepts and practices. * Strong background in systems development, including an understanding of project management methodologies and the development lifecycle. * Proven history managing stakeholder relationships. * Business case development. First Quality is committed to protecting information under the care of First Quality Enterprises commensurate with leading industry standards and applicable regulations. As such, First Quality provides at least annual training regarding data privacy and security to employees who, as a result of their role specifications, may come in to contact with sensitive data. First Quality is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, sexual orientation, gender identification, or protected Veteran status.

JobID: 210665625 JobSchedule: Full time JobShift: Base Pay/Salary: Jersey City,NJ $164,350.00-$260,000.00; Chicago,IL $137,750.00-$235,000.00 Join us as we revolutionize data and analytics with cutting-edge Generative AI, shaping the future of our organization. Experience career growth, collaborate with top talent, and make a meaningful impact through ethical and sustainable AI practices. As a Generative AI Data Science Lead in the Applied Solutions Team, you will drive the development and optimization of LLM-aided AI products. You work closely with cross-functional teams to deliver scalable solutions that support our business objectives and foster innovation. You will help shape the future of our organization by leveraging advanced data science and engineering practices. You will collaborate with the ML Centre of Excellence, AI Research, and Engineering teams to design and deliver high-impact GenAI products and APIs. Your expertise will ensure our solutions are robust, scalable, and aligned with the needs of our business and stakeholders. Job Responsibilities * Combine vast data assets with advanced AI, including LLMs and Multimodal LLMs * Bridge scientific research and software engineering, applying expertise in both domains * Collaborate with engineering teams to lead the design and delivery of GenAI products * Architect and implement scalable AI Agents, Agentic Workflows, and GenAI applications * Integrate GenAI solutions with enterprise platforms using API-based methods * Establish validation procedures with Evaluation Frameworks, bias mitigation, safety protocols, and guardrails * Align ML problem definition with business objectives * Communicate technical information and ideas effectively to stakeholders Required Qualifications, Capabilities, and Skills * Bachelor's Degree in a quantitative discipline such as Computer Science, Mathematics, or Statistics * Ten years of experience in an individual contributor role in ML engineering * Strong understanding of statistics, optimization, and ML theory, focusing on NLP and/or Computer Vision algorithms * Demonstrated experience in parameter-efficient fine-tuning, model quantization, and quantization-aware fine-tuning of LLM models * Experience integrating GenAI solutions with enterprise platforms via standardized API patterns * Ability to establish validation procedures, including Evaluation Frameworks, bias mitigation, safety protocols, and guardrails * Excellent grasp of computer science fundamentals and SDLC best practices * Strong communication skills to build trust with stakeholders Preferred Qualifications, Capabilities, and Skills * PhD in a quantitative discipline such as Computer Science, Mathematics, or Statistics * Experience designing and implementing pipelines using DAGs such as Kubeflow, DVC, or Ray * Ability to construct batch and streaming microservices exposed as gRPC or GraphQL endpoints * Hands-on experience implementing distributed, multi-threaded, and scalable applications using frameworks such as Ray, Horovod, or DeepSpeed * Relocation assistance is not available for this role.

Incedo is a US-based consulting, data science and technology services firm with over 3000 people helping clients from our six offices across US, Mexico and India. We help our clients achieve competitive advantage through end-to-end digital transformation. Our uniqueness lies in bringing together strong engineering, data science, and design capabilities coupled with deep domain understanding. We combine services and products to maximize business impact for our clients in telecom, Banking, Wealth Management, product engineering and life science & healthcare industries. Working at Incedo will provide you an opportunity to work with industry leading client organizations, deep technology and domain experts, and global teams. Incedo University, our learning platform, provides ample learning opportunities starting with a structured onboarding program and carrying throughout various stages of your career. A variety of fun activities is also an integral part of our friendly work environment. Our flexible career paths allow you to grow into a program manager, a technical architect or a domain expert based on your skills and interests. Our Mission is to enable our clients to maximize business impact from technology by Harnessing the transformational impact of emerging technologies Bridging the gap between business and technology Role Description Role Description: As a Senior Technical Lead - Data Science and Modeling at Incedo, you will be responsible for developing and deploying predictive models and machine learning algorithms to support business decision-making. You will work with data scientists, data engineers, and business analysts to understand business requirements and develop data-driven solutions. You will be skilled in programming languages such as Python or R and have experience in data science tools such as TensorFlow or Keras. You will be responsible for ensuring that models are accurate, efficient, and scalable. Roles & Responsibilities: • Developing and implementing machine learning models and algorithms to solve complex business problems • Conducting data analysis and modeling using statistical and data analysis tools • Collaborating with other teams to ensure the consistency and integrity of data • Providing guidance and mentorship to junior data science and modeling specialists • Presenting findings and recommendations to stakeholders • Foster a collaborative and supportive work environment, promoting open communication and teamwork. • Demonstrate strong leadership skills, with the ability to inspire and motivate team members to perform at their best. Technical Skills Skills Requirements: • Proficiency in statistical analysis techniques such as regression analysis, hypothesis testing, or time-series analysis. • Knowledge of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning. • Experience with data wrangling and data cleaning techniques using tools such as Python, R, or SQL. • Understanding of big data technologies such as Hadoop, Spark, or Hive. • Lead and manage a team of professionals to achieve organizational goals. • Provide guidance, support, and mentorship to help employees grow and develop professionally and focus on Career Management. 4-5 years of experience in developing and deploying machine learning models in production environments Strong background in network science with ability to apply graph theory and network analysis techniques to solve business problems Proficiency in Neo4j database management and advanced Cypher query development for complex graph traversals and pattern matching Advanced programming skills in Python, including expertise with core data science libraries (pandas, scikit-learn, networkx, matplotlib/seaborn) Demonstrated experience implementing graph algorithms with understanding of computational complexity and performance optimization Experience with distributed computing frameworks such as Apache Spark for large-scale data processing Domain expertise in banking sector with specific experience in Credit Cards and Payments systems, including understanding of transaction flows, risk assessment, and regulatory requirements Nice-to-have skills Qualifications Qualifications • 8-10 years of work experience in relevant field • B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred Company Value We value diversity at Incedo. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

About the Role As a Data Solutions Consultant, you will play a key role supporting multiple initiatives for enterprise and global customers. This role sits at the intersection of business, data, and technology, working closely with client stakeholders to turn complex requirements into scalable, cloud-based data solutions. You'll be responsible for gathering business requirements, defining and implementing data models, designing data pipelines, and ensuring insights are delivered to stakeholders in a clear, efficient, and impactful way. The work is performed in a modern cloud environment, leveraging AI-driven tools to improve productivity and accelerate outcomes. Key Responsibilities Partner with client stakeholders to gather, clarify, and translate business requirements Define and implement robust data models using a Medallion architecture Design and develop scalable, cloud-based data pipelines Build optimized, user-friendly reporting and analytics solutions Ensure data is accessible, reliable, and actionable for business stakeholders Contribute to innovative, AI-enabled approaches to data and analytics delivery Requirements Bachelor's degree in Computer Science, Engineering, or a related field 2+ years of hands-on experience delivering Data & Analytics projects in cloud environments Strong communication and collaboration skills with both technical and business stakeholders Strong problem-solving and analytical capabilities Proven experience designing and implementing data models in cloud-based environments (AWS, Azure, or GCP) Experience using generative AI tools to improve productivity and extract insights Strong SQL skills and solid understanding of database management systems Preferred Qualifications Master's degree in Computer Science, Engineering, or a related field Cloud or data engineering certifications Experience developing ETL pipelines using dbt

ARA is a premier provider of state-of-the-practice airport pavement infrastructure, safety, and security solutions for commercial airports and Department of Defense (DoD) airfield installations. Our innovative engineering efforts and leading-edge studies significantly reduce risks associated with critical decisions for the country's airport and airfield leaders. Our Transportation Division office in Egg Harbor Township, NJ is seeking airport research analysts/data scientists to contribute to our team conducting airport safety research. What you will do as an airport operations research analyst / data scientist: Conduct aviation research analysis using quantitative analysis, operations research tools, economics, and other techniques in the areas of procedural implementations and performance issues. Use your airport operations experience to characterize data from wildlife strikes and/or aircraft incidents. Prepare technical research reports on airport operations in areas that may include wildlife strike data, airport safety data on aircraft incidents that occur on airfields Support developing test plans, testing, evaluation and reporting of airport operations research in areas such as autonomous vehicle applications operations on the airfield, drone use for airfield operations, wrong surface landings research and other evaluations of airfield technologies Create analysis procedures to develop project plans and schedules. Assist in the definition of data mining strategies. Create, deploy, maintain, and refine decision management models. Serve as a specialist in modeling and simulation functions or operations such as, but not limited to, test exercises, plans, coordination, demonstrations, and instructions in the field such as environmental factors, Federal aviation, and airport safety and security standards for operations specifically developed for the nation's airports. Senior 1 airport operations research analyst / data scientist requirements: Bachelors in airport operations research, computer science, engineering, business, mathematics, information systems, management science, aviation, aeronautical, or air traffic management/science, plus 8+ years of relevant experience, including: Demonstrated skills in airport operations project management/organization, research techniques, creating plans, cost estimation, risk management, logistics, data collection, analysis, technical writing, and presenting formal/technical information. Capability to fully execute related research and development projects. Ability to accomplish complete and timely deliverables without daily supervision. Master's degree with 7+ years' experience, MBA, or PhD with 3+ years' experience may be substituted for bachelor's degree. About ARA: ARA is an employee-owned international research and engineering company recognized for providing technically superior solutions to complex and challenging problems in the physical sciences. The company, founded in Albuquerque, NM, in 1979, currently employs more than 2,300 professionals and continues to grow. ARA offices throughout the United States and Canada provide a broad range of technical expertise in civil technologies, computer software and simulation, defense technologies, systems analysis, environmental technologies, and testing and measurement. The corporation also provides sophisticated technical products for pavement analysis, environmental site characterization, and robotics. At ARA, employees are our greatest assets. The corporation realizes that employee ownership drives greater creativity and initiative along with higher performance and customer satisfaction levels. ARA gives its employees the tools, training, and opportunities to take more active roles as owners. The culture is challenging; innovation and experimentation are the norm. Employees are eligible for contributions which not only add to the company's success, but also their own through the Employee Stock Ownership Plan (ESOP). The motto, “Engineering and Science for Fun and Profit” sums up the ARA experience.

Job DescriptionSalary: A3 Technology, Inc. is seeking a Computer Scientist to support the FAAs Terminal Flight Data Manager (TFDM) program and its integration with the Flight Data Input/Output (FDIO) system. TFDM is the tower modernization initiative designed to replace legacy, paper-based and stand-alone systems with integrated, digital tools that improve flight data management, surface traffic efficiency, and collaborative decision-making. The program consolidates multiple older systems into a modern, electronic environment. FDIO serves as a critical interface within this ecosystem, enabling controllers and other stakeholders to access real-time flight plan information from ERAM and other core FAA systems. Together, TFDM and FDIO provide more accurate data sharing, improved departure sequencing, and enhanced situational awareness to reduce delays, save fuel, and improve the safety and predictability of air traffic operations. Responsibilities: Develop, manage, and validate site-specific adaptation data. Configure TFDM system parameters for local operations, coordinating with FAA facilities and airports, performing adaptation testing and validation, and maintaining version-controlled configuration records to ensure operational accuracy and interoperability. Develop, manage, and validate site adaptation data tailored to each TFDM deployment location (e.g., airports, TRACONs). Ensure configurations accurately reflect local airspace, surface operations, runway/taxiway layouts, and stakeholder operational procedures. Collect and analyze local site data such as flight schedules, runway configurations, surveillance inputs, and facility-specific workflows. Coordinate with local air traffic control facilities and airport authorities to obtain accurate, up-to-date operational data. Customize TFDM system parameters for surface metering, departure sequencing, runway assignments, and flight data exchange to reflect the unique needs of each site. Support the calibration of algorithms to optimize surface traffic management and throughput. Use FAA-authorized adaptation tools and software to build, test, and deploy configuration files. Maintain version control and configuration management practices to ensure integrity and traceability of adaptation data. Ensure consistency and compatibility of adaptation data with interfacing systems such as STARS, ERAM, TBFM, and surface surveillance systems. Coordinate interface configurations to support seamless data exchange and operational interoperability. Participate in Factory Acceptance Testing (FAT), Site Acceptance Testing (SAT), and Dry Runs to validate the performance of site-specific adaptations. Conduct pre- and post-deployment validation to ensure the system functions as intended under local operating conditions. Collaborate with FAA site leads, facility personnel, airline operators, and airport representatives to define operational needs and validate adaptation outputs. Support user feedback collection and incorporate changes into adaptation updates. Prepare technical documentation including adaptation guides, site-specific configuration summaries, and version release notes. Maintain records of adaptation changes, rationale, and stakeholder approvals in accordance with FAA change management policies. Provide on-site or remote support during TFDM system transition, ensuring real-time resolution of adaptation-related issues. Assist controllers and technical staff in understanding adaptation elements during the go-live process. Recommend updates to the adaptation process based on lessons learned, system feedback, and evolving site requirements. Monitor deployed system performance and propose adaptation refinements to enhance operational effectiveness. Skills Required: Detail oriented, independent, self-motivated, and a proactive team member. Skills Preferred: Experience with FAA NAS or Mission Support systems. Education: Bachelor's degree in a technical field (engineering, math, physics, chemistry, biology, meteorology/earth sciences, aeronautical science, computer science) and 10-15 years relevant experience. Additionally, US Citizenship or documented proof of eligibility to work in the US is a must. Upon receiving a conditional offer of employment, candidates will undergo a Government investigation and must meet eligibility requirements for Government clearance. Verification of past employment, education and references is also required. It is imperative that candidates be either a US citizen or a current green card holder with the last 3 consecutive years as a resident of the US. The salary range for positions is $50,000 to $175,000. This range is provided as a general guideline and should not be interpreted as a guarantee of compensation. Actual salary offers will be determined based on a variety of factors, including but not limited to the specific responsibilities of the position, the candidates education, experience, location, knowledge, skills, and abilities. In addition, compensation may be influenced by applicable Federal Government contract labor categories and established contract wage rates. At A3 Technology, Inc., we take pride in being an Equal Opportunity Employer (EEO) and Affirmative Action (AA) employer. We're committed to considering all qualified candidates for employment without regard to race, religion, color, sex, sexual orientation, gender identity, age, protected veteran status, disability, national origin, genetic information or any other protected status.

Title: AI/ML Data Engineer Duration: 12+ Months Contract About the Role We are seeking a highly skilled and motivated AI Engineer to join our data and analytics team. This role is ideal for someone passionate about building intelligent data-driven solutions using cutting-edge technologies like Python, PySpark, Microsoft Fabric, Power BI, and SQL. You will play a key role in designing, developing, and deploying scalable AI models and data pipelines that power business insights and automation. Responsibilities: Design and implement AI/ML models using Python and PySpark for large-scale data processing Build and optimize data pipelines using Microsoft Fabric (Data Factory, Synapse, Lakehouse) Develop interactive dashboards and reports in Power BI to visualize model outputs and KPIs Write efficient SQL queries for data extraction, transformation, and analysis Collaborate with data scientists, analysts, and business stakeholders to translate requirements into technical solutions Deploy and monitor AI models in production environments Ensure data quality, governance, and compliance across all stages of the pipeline Preferred Qualifications Experience with Azure Machine Learning, Databricks, or similar platforms Knowledge of data governance frameworks and security best practices Exposure to LLMs, NLP, or generative AI tools is a plus Qualifications Required Skills & Qualifications 3+ years of experience in AI/ML engineering or data engineering roles Strong proficiency in Python for data science and machine learning Hands-on experience with PySpark for distributed data processing Solid understanding of Microsoft Fabric components (Data Factory, Synapse, Lakehouse) Expertise in Power BI for data visualization and storytelling Advanced SQL skills for data manipulation and performance tuning Familiarity with MLOps practices and cloud platforms (Azure preferred) Excellent problem-solving and communication skills Additional Information

Insight Global is seeking a Data Engineer for a long-term contract opportunity with a large Banking client. This person will leverage various statistical and advanced techniques to identify emerging risks, patterns and typologies to predict financial crime activities and risks. This team develops and maintains scalable data models to support the analytics framework, and provide actionable insight to multiple departments. They will also be responsible for all project/release testing (e.g. integration, business acceptance, performance, operability, deployment verification), and oversee and lead a large and/or highly complex, and diverse reporting function for an area of significant risk, complexity or scope. This role is focused on building data models for Analytics purposes, and help solve complex business issues relative to Financial Crimes. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: **************************************************** Skills and Requirements - 5+ years' Data Engineering and Data Modeling experience - Python/PySpark Experience - Databricks experience - Experience building Data Models for Reporting/Analytics purposes - Ability to explain business problems solved by Data Models - Expert SQL level experience - Banking experience - Experience supporting Financial Crimes division

Company DescriptionJobs for Humanity is partnering with Capital One to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from the following communities: Refugee, Neurodivergent, Single Parent, Blind or Low Vision, Deaf or Hard of Hearing, Black, Hispanic, Asian, Military Veterans, the Elderly, the LGBTQ, and Justice Impacted individuals. This position is open to candidates who reside in and have the legal right to work in the country where the job is located. Company Name: Capital One Job DescriptionLocations: VA - McLean, United States of America, McLean, VirginiaDistinguished Engineer - Data Architecture Come join my teams in the Enterprise Data & Machine Learning group to build a highly scalable, well governed, data ecosystem that scales across 1000's of AWS accounts, tens of thousands of database instances, and millions of files stored across enterprise. You will also have the opportunity to shape the future of the platform that exchanges terabytes of data daily between Capital One and partners. Distinguished Engineers are individual contributors who strive to be diverse in thought so we visualize the problem space. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. Distinguished Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next generation technology solutions. Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices Visionaries, collaborating on Capital One's toughest issues, to deliver on business needs that directly impact the lives of our customers and associates Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in Strike the right balance between lending expertise and providing an inclusive environment where others' ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team Promote a culture of engineering excellence, using opportunities to reuse and inner source solutions where possible Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One's Tech talent Basic Qualifications: Bachelor's Degree At least 7 years of Data Architecture or Enterprise Architecture experience At least 5 years of experience in design patterns At least 5 years of AWS cloud experience At least 3 years of experience building data products At least 3 years of experience with enterprise level data governance Preferred Qualifications: Masters' Degree 8+ years of data governance, data access, data lineage, data monitoring, and security controls experience 7+ years of experience developing in Python, Java, Scala or Node 6+ years of experience dealing with large number of cross AWS account communications 5+ years of experience in software architecture 3+ years of rich experience in modern database technology evaluation and data modeling 3+ years of experience in building highly resilient distributed data systems 3+ years in data engineering including experience in distributed data pipelines and test data engineering 3+ years of experience in Agile practices 1+ year of experience with developing strategy and implementing target architectures AWS Solution Architect - Professional or AWS Certified Data Analytics - Specialty certified Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $269,400 - $307,500 for Distinguished Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to [email protected] Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Please only apply to this position if you have the ability to work full-time from Collingswood, NJ, are a US Citizen, have your Green Card or Long Term Visa. SMARTER AGENT'S GOAL IS TO BUILD THE BEST DATA TEAM IN THE REAL ESTATE INDUSTRY Smarter Agent is one of the most widely used software platforms in the real estate industry and is integrated into the operations of many of the premier organizations in the residential real estate market. Our success is built on our expanding data capabilities and data services. We now have one of the largest real estate data services platforms in North America. With Smarter Agent, our customers do not have to overhaul their legacy software systems or keep up with fast paced new technologies in order to have a source of truth made up of accurate real estate data and continuous innovation. Our Data and Technology Teams are Best in Class in the Real Estate Industry Smarter Agent has a long history of innovation in the real estate markets and has built an industry leading team that has goals to dominate the real estate data market with their SAAS platform. Members of Smarter Agent have been granted US patents for location based mobile search, branding and advertising, with 5 granted patents issued since May 2013 and 2 granted in 2017. Smarter Agent was the first to introduce a cascading platform for mobile app delivery. With this app creation and linking technology, any global brand with a local presence has a way to maintain design and business rule control while providing personally branded apps to all their agents across the country or globe. Smarter Agent's work with data over the years has morphed the company into a leading real estate data firm creating services to support global and regional real estate organizations. Smarter Agent Headquarters Overview The Smarter Agent team is an extremely successful tech start-up based in the retro cool South Jersey gem of Collingswood, New Jersey. Our new office is on the second floor of the building we designed is 10 minutes outside Philadelphia, Pennsylvania via the PATCO commuter light rail - we have free parking as well. We have a flexible work and time-off schedule and provide health benefits. Smarter Agent fosters a team environment where you can expand your skill set, gain leadership skills and grow your career. Job Description We're looking for Mid-Level and Senior Level Data Engineers to help us transform how consumers interact with real estate data. Smarter Agent has every residential listing in North America updating multiple times per day on behalf of our real estate customers. You will manage and create systems to utilize these data sets and drive innovation within our SAAS Platform. Recommend and implement data processing tools and technologies to keep us at the forefront of real estate data engineering, data science, data architecture and evolve our data stack. Extract, transform and load data pipelines from end-to-end. Create, develop and document data mapping rules. Perform data cleansing and transformation of data. Write specifications from which conversion programs will be written. Collaborate with subject matter experts to ensure that the specifications meet the business and system requirements. Utilize tools and programs to analyze and convert data to a standardized format. Recommend and implement data processing tools and technologies to keep us at the forefront of real estate data engineering and data science. Develop continuous process improvements. Identify and fix “data bugs” and improve the overall quality of information. Work, collaborate, mentor and provide leadership to members within our team. Qualifications You MUST be passionate about solving data challenges through software and technology. You MUST be a highly analytical, results driven individual, with high attention to detail and strong problem solving and critical thinking skills. The Mid-Level and Senior Data Engineer MUST have 3-10+ years of proven experience in areas including software engineering, data engineering and data architecture. You MUST have prior experience in areas or similar technologies including SQL, Oracle, PostGres, DynamoDB, Firehose, MongoDB, Elastic Search, Neo4j and REST APIs. You MUST have prior Amazon Web Services (AWS) experience as well as worked in scripting languages like Python to aggregate, gather, and manipulate data. You MUST understand databases, data conversion and data cleansing methods. You should have prior experience parsing and mapping data. You should have advanced Microsoft Excel experience. You should have excellent verbal and written communication skills. You will get big points if you have worked with Multiple Listing Service (MLS) data and standards and real estate public record data. Additional Information Process for Interviewing Please submit your resume and LinkedIn profile by clicking “I'm Interested” and why you feel that you are a good fit for the position. Phone screen by Michael C. Bertoni, Director of Recruiting. Smarter Agent Online Assessment to see if cognitive and cultural fit for leading start-up. 1 Onsite Interview with Founder/CEO, Founder/CTO, technical team/leads with follow up software code review. Offer All the above can be completed expediently after completion of the online assessment.

The Data Engineer is responsible for migrating customer's data from their legacy software applications stored in databases, reports, and other forms of data file structures to the client's new Edmunds GovTech ERP system. This position will regularly engage with our customers and serve as a critical role on the project teams by developing conversion templates and conversion tools using Java, Python, SQL and other programming languages. $60,000 - $75,000 (Employer est) ROLE AND RESPONSIBILITIES WITH ESSENTIAL FUNCTIONS * Develop data conversion programs using Java and other related technologies. * Work with internal team members on mapping client's legacy source data. * Validate that data conversions meet customer expectations and requirements. * Utilize a variety of tools and programs to facilitate the data conversion process. * Work on multiple project teams and handle competing priorities effectively. * Deliver high-quality customer service. Requirements QUALIFICATIONS AND EDUCATION REQUIREMENTS * Bachelor's Degree in MIS, Computer Science, Mathematics, Physics, or other degree that would provide the necessary skills to effectively develop programs, or equivalent work experience. * 1-3 years of experience in professional services, client implementation, and/or data migrations. * Working knowledge of multiple system/database platforms (MSSQL, Oracle, AS400, Windows, etc.) is a plus. * Knowledge of generalized business practices, accounting reports, financial reports, and payroll reports is a plus. * Working knowledge and abilities in programming using Java, Python, SQL, and other related technologies. Salary Description $60,000 - $75,000 Based on Experience

TD Bank is a member of TD Bank Group and a subsidiary of The Toronto-Dominion Bank of Toronto, Canada, a top 10 financial services company in North America. The Toronto-Dominion Bank trades on the New York and Toronto stock exchanges under the ticker symbol "TD". For more information visit ********** Job Description 1 Position - Data Modeler III ANSI SQL/ W2 basis + Benefit coverage| ASAP 6 Month Contract (possible extension up to 2 yrs.) Location: On site - Mount Laurel NJ Interview: 1 Phone and 1 in person with hiring manager This data modeler position requires strong ANSI SQL skills (preferably experience with Oracle), working dimensional data modeling experience and strong language and written skills to support creation of dictionaries, data mappings, and detailed design documentation. Dimensional data modeling experience is a must for this position; candidates without this experience should not apply. Qualifications MUST HAVE: ERWIN * 6 yrs ANSI SQL * 6 yrs OLTP * 6 yrs Oracle * 6 yrs RUP * 6 yrs MS Office * 6 yrs SQL * 6 yrs Dimensional Modeling experience * 6 yrs Data Warehousing * 6 yrs Data Marts * 6 yrs Data Administration * 6 yrs NICE TO HAVE: Power Designer Financial/Banking industry experience Teradata FSLDM Logical Data Models SKILLS: Experience in designing physical models for data warehouses and data marts. Expertise in dimensional modeling; working knowledge of the Teradata or IBM Financial Services Logical Data Models is a plus. Experience in Oracle database design including the ability to perform impact analysis of data structure changes. Expertise in ERWIN, OLTP, SQL, RUP, Oracle and MS Office Tools is required; Power Designer experience is also helpful but not required. Strong ANSI SQL skills are required for this position. Additional Information All your information will be kept confidential according to EEO guidelines.

If you're looking for the stability of a profitable, growing company with the entrepreneurial spirit of a startup, we're hiring. SageSure, a leader in catastrophe-exposed property insurance, is seeking a Senior Actuarial Analyst who will be a member of the Actuarial Student Program (ASP). This position provides an opportunity to take on a role in an entrepreneurial culture and gain a broad perspective across the insurance business. As a member of the Commercial Actuarial team, you will be asked to assist in providing technical and analytical assessments of complex business issues related to the development of new property products and maintenance of existing ones, utilizing actuarial techniques to assist in the development and maintenance of sophisticated pricing plans. Working on the Actuarial team at SageSure, the largest independent residential managing general underwriter (MGU) in the U.S., offers a broad range of opportunities and experiences to advance your career. You'll not only be predicting and modeling risk in some of America's most challenging markets but will also be working in multiple actuarial disciplines, including pricing, product development, ratemaking, reserving, and advanced analytics. At SageSure, you'll gain hands-on experience working on challenging assignments and make data-driven decisions to help solve business problems. Our tight-knit, collaborative team regularly presents our findings to senior management and frequently collaborates across the company with our underwriting, marketing, program operations, and software teams. We provide the support you'd expect-including a rotational program and exam assistance-to develop and champion your whole career. What you will be doing: Manage interns and lead work streams and projects tied to company goals. Mentor actuarial team members. Continuously sophisticate and advance the science of core actuarial analytics. Lead/Assist the team in the evaluation of rate adequacy / indications. Support the sophistication of large account pricing. Provide analytical support on portfolio risk evaluation. Complete support documentation for product filings with Departments of Insurance and assist with responses to rate related inquiries. Lead/Assist with research projects including developing predictive models and visualizing results to support business decisions. Perform competitive intelligence analysis. Utilize and/or create models to assess profitability in current rating structures. We're looking for someone who has: Bachelor's degree in Actuarial Science or STEM-related field. 2-4 years of experience in an actuarial role. Passage of three or more actuarial exams with the goal of attaining ACAS/FCAS. Solid analytical, problem-solving, and reasoning skills. Strong communication skills with both technical and non-technical resources. Procactive and collaborative approach to guiding projects across multiple stakeholders Proficient with Microsoft Office suite. Strong technical skills with proficiency in Python, R, or SQL. Deep desire to learn. Ability to work independently and as a team member. Proven organizational and time-management skills; strong attention to detail. Demonstrate understanding and knowledge of key business drivers e.g. underwriting, product, reinsurance, and industry trends. Strong problem-solving and decision-making skills; ability to think critically and strategically. To qualify, all applicants must be authorized to work in the United States. About SageSure: Named among the Best Places to Work in Insurance by Business Insurance for four years in a row (2020-2023), SageSure is one of the largest managing general underwriters (MGU) focused on catastrophe-exposed markets in the US. Since its founding in 2009, SageSure has experienced exceptional growth while generating underwriting profits for carrier partners through hurricanes, wildfires, and hail. Available in 16 states, SageSure offers more than 50 competitively priced home, flood, earthquake, and commercial products on behalf of its highly rated carrier partners. Today, SageSure manages more than $1.9 billion of inforce premium and helps protect 640,000 policyholders. SageSure has more than 1000 employees working remotely or in-office across nine offices: Cheshire, Connecticut; Chicago, Illinois; Cincinnati, Ohio; Houston, Texas; Jersey City, New Jersey; Mountain View, California; Marlton, New Jersey; Tallahassee, Florida; and Seattle, Washington. SageSure offers generous health benefits and perks, including tuition reimbursement, wellness allowance, paid volunteer time off, a matching 401K plan, and more. SageSure is a proud Equal Opportunity Employer committed to building a workforce that reflects the spectrum of perspectives, experiences, and abilities of the world we live in. We recognize that our differences make us strong, and we actively seek out diverse candidates through partnerships with organizations, institutions and communities that represent various backgrounds. We champion belonging and inclusion for all identities, including, but not limited to, race, ethnicity, religion, sexual orientation, age, veteran status, ability status, gender, and country of origin, striving to create a culture where all individuals feel valued, respected, and empowered to bring their authentic selves to work. Our nimble, highly responsive culture nurtures critical thinkers who run toward problems and engineer solutions. We relentlessly pursue better outcomes by investing in the technology, talent, and tools that position us to succeed in demanding markets. Come join our team! Visit sagesure.com/careers to find a position for you.