Data science internship jobs in Manchester, NJ

Job Title: Data Analyst Duration: Long-Term Contract Employment Type: W2 Only - No C2C, No 1099. We are seeking a highly skilled Data Analyst to join our team on a long-term W2 contract. The ideal candidate must have 5 - 7 years of professional experience after completing their bachelor's degree (prior to starting a master's program) and strong expertise in Python, SQL, AWS, Tableau, and Snowflake. This role involves working with large datasets, building analytical solutions, and supporting data-driven decision-making across the business. Key Responsibilities Perform data extraction, transformation, and analysis using SQL, Python, and other analytic tools. Develop dashboards, visualizations, and reports in Tableau to support business insights. Work with cloud-based data infrastructure on AWS (S3, Lambda, Glue, Redshift, etc.). Develop and optimize ETL/ELT pipelines in Snowflake and other data systems. Collaborate with cross-functional teams to gather business requirements and translate them into technical solutions. Ensure data quality, integrity, and security across multiple environments. Perform ad-hoc analysis and create automated reporting solutions. Document data processes, workflows, and best practices. Required Qualifications Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, or related field. Must have 5 -7 years of industry experience AFTER completing the bachelor's degree and BEFORE starting any master's program. Strong proficiency in SQL for querying and manipulating large datasets. Advanced skills in Python, including Pandas, NumPy, and data processing libraries. Hands-on experience with AWS services used in data engineering/analytics. Experience working with Snowflake (query optimization, warehouses, schemas, data modeling). Proficiency in Tableau for building dashboards and visual insights. Strong analytical thinking, problem-solving, and communication skills. Ability to work in a fast-paced, collaborative environment with minimal supervision. Preferred Qualifications Master's degree (completed after required 3-5 years of post-bachelor's experience). Experience with Git, Airflow, or other orchestration tools. Knowledge of statistical modeling or machine learning concepts. Familiarity with Agile methodologies. Additional Information W2 only - No C2C, No 1099. Hybrid work model (3 Days onsite). Candidates must be authorized to work for any employer in the U.S. Thanks & Regards Vasu Baanyan Software Services Inc 100 Metroplex Drive, Suite 100, 1st Floor, Edison, NJ. 08817 Phone: ************ Extn: 207 | Direct: ************ Email: **************** | *************** An E-Verified Compan y

At Genmab, we are dedicated to building extra[not]ordinary futures, together, by developing antibody products and groundbreaking, knock-your-socks-off KYSO antibody medicines that change lives and the future of cancer treatment and serious diseases. We strive to create, champion and maintain a global workplace where individuals' unique contributions are valued and drive innovative solutions to meet the needs of our patients, care partners, families and employees. Our people are compassionate, candid, and purposeful, and our business is innovative and rooted in science. We believe that being proudly authentic and determined to be our best is essential to fulfilling our purpose. Yes, our work is incredibly serious and impactful, but we have big ambitions, bring a ton of care to pursuing them, and have a lot of fun while doing so. Does this inspire you and feel like a fit? Then we would love to have you join us! Job Title Translational Imaging & Multi-Omics Data Science Intern Why Genmab Our internship program provides interns with hands-on experience and relevant projects that directly align with our company's goals. Additionally, we believe our program provides a valuable opportunity to learn, thrive, and build a strong network. We encourage you to review our website to learn why we're always looking for smart, purpose-led candidates to play a role in our bold, extra[not]ordinary future. Job Overview We are seeking a motivated and curious intern to join the Translational Data Science team. This project focuses on integrating features extracted from digital images with multi-omics data using graph-based modeling to uncover biomarker-driven therapeutic opportunities. The intern will contribute to developing and applying advanced analytics frameworks that connect imaging features with molecular and clinical data to identify subgroups with distinct biological and therapeutic characteristics. This role offers exposure to deep learning, graph neural networks (GNNs), and large-scale multi-modal datasets, fostering collaboration across computational, translational, and clinical functions. What You'll Do Data Integration & Analysis * Process and curate histopathology and/or radiomics image datasets and multi-omics profiles from public and internal sources. * Extract quantitative image features using deep learning-based models (e.g., foundation models for whole-slide analysis). * Integrate imaging-derived metrics with molecular and clinical data for downstream analytics. Model Development & Optimization * Build and evaluate graph-based models linking patients and molecular/imaging features. * Apply GNNs and related architectures to explore subtype stratification and biomarker discovery. * Utilize cloud computing platforms (e.g., Databricks, AWS) for scalable computation. Biomarker and Pathway Insights * Identify molecular and phenotypic patterns associated with distinct subgroups. * Conduct pathway and gene set enrichment analyses to characterize biological differences. * Explore potential therapeutic hypotheses using public drug response and perturbation datasets. Research Interpretation & Visualization * Develop interpretable visual and computational frameworks that highlight molecular-morphological relationships. * Summarize findings for scientific and strategic discussions through figures, reports, and presentations. Required Qualifications, Capabilities and Skills * Current graduate or undergraduate student in Computer Science, Bioinformatics, Data Science, Computational Biology, or related field. * Proficiency in Python or R; experience with machine learning libraries (e.g., PyTorch, TensorFlow). * Familiarity with image analysis and omics data processing. * Strong analytical and problem-solving skills, with attention to detail. * Interest in translational and precision medicine research. Preferred Qualifications, Capabilities and Skills * Experience with graph-based learning or network biology approaches. * Background in digital pathology, image analysis, or biomedical data integration. * Familiarity with cloud-based analytical environments (Databricks, AWS). * Excellent communication skills and ability to work in a collaborative team. General Intern Information - Date/Location/Schedule Internships will take place June - August 2026. This role will be based in Princeton, NJ and operate on a required hybrid schedule - 3 days in the office and 2 days remote per week. This role is not eligible for sponsorship. What's Next Help us learn about you by submitting a complete and thoughtful application, which includes your resume. Your application and resume are a way for us to initially get to know you, so it's important to complete all relevant questions to ensure we have as much information about you as possible. Every application matters to us, and we'll carefully review each submission as quickly as possible to see if your qualifications align with the role. While we're unable to provide individual updates, rest assured that we're working diligently to move through the process efficiently. If you move forward in the process, you'll receive an email invitation to connect with us and dive deeper into this exciting opportunity. The final stage will bring selected candidates meeting directly with our hiring teams, where you'll have the chance to showcase your potential. We are committed to keeping you informed and will share decisions with all candidates as soon as we are able. We can't wait to see where this journey takes you! About You * You are genuinely passionate about our purpose * You bring precision and excellence to all that you do * You believe in our rooted-in-science approach to problem-solving * You are a generous collaborator who can work in teams with a broad spectrum of backgrounds * You take pride in enabling the best work of others on the team * You can grapple with the unknown and be innovative * You have experience working in a fast-growing, dynamic company (or a strong desire to) * You work hard and are not afraid to have a little fun while you do so! Locations Genmab maximizes the efficiency of an agile working environment, when possible, for the betterment of employee work-life balance. Our offices are crafted as open, community-based spaces that work to connect employees while being immersed in our powerful laboratories. Whether you're in one of our office spaces or working remotely, we thrive on connecting with each other to innovate. About Genmab Genmab is an international biotechnology company with a core purpose to improve the lives of patients through innovative and differentiated antibody therapeutics. For 25 years, its hard-working, innovative and collaborative team has invented next-generation antibody technology platforms and harnessed translational, quantitative and data sciences, resulting in a proprietary pipeline including bispecific T-cell engagers, antibody-drug conjugates, next-generation immune checkpoint modulators and effector function-enhanced antibodies. By 2030, Genmab's vision is to transform the lives of people with cancer and other serious diseases with Knock-Your-Socks-Off (KYSO) antibody medicines. Established in 1999, Genmab is headquartered in Copenhagen, Denmark with international presence across North America, Europe and Asia Pacific. For more information, please visit Genmab.com and follow us on LinkedIn and X. Genmab is committed to protecting your personal data and privacy. Please see our privacy policy for handling your data in connection with your application on our website Job Applicant Privacy Notice (genmab.com).

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent 8. 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R (minimum of 2 years with a Ph.D.) 9. 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights] **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $145,000/year to $204,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Job Description Title : Financial Data Analyst Duration: 12 Months+ Responsibilities · Partner with Planning & Reporting GPOs to collect the data required for the Enterprise planning workstream Partner closely across the SigniFi workstreams to drive coordinated solution designs and ensure end-to-end design objectives are met. Collaborate with cross-functional business leaders, including JJT to ensure tech solutions address business requirements and effectively enable finance stakeholders to deliver business insights. Design, maintain and Govern the data model called SigniFi Common Information Model (CIM) in Finance Data Hub Platform for Enterprise planning workstream. Work with IT team as Business Data Product owner and B/A to document CR/User Stories to improve the completeness, latency & accuracy of the data product quality · Partner & Integrate with the Data Governance team to help define data standards with extended CIM elements during the project and help define data quality matric for extended CIM master data maintenance Qualifications: A minimum of a Bachelor's Degree is required, Major in Finance or IT is preferred 5+ years of working experience is required 5+ years of relational database management/data model/data warehouse experience is required Strong understanding of financial process knowledge is required SQL experience is required

Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education. Job Responsibilities: Provide weekly, monthly, and annual reports for supply chain, trial balance and balance sheet Use Machine Learning in Python code within Power Platform to bring the cross-sell analytics, customer insights Build Canvas web apps using functional and logical expression in Power Apps Create custom connectors using API Prepare and deliver visualizations and internal presentations that translate analytic insights into tangible, actionable solutions for business partners to implement Provide special reports and analyses to support the business as necessary using Power BI Support efforts to maintain accurate master data by curating the same using Power Query, SQL Identify issues, analyze available data and information, and recommend changes to management Create and maintain multiple operational reporting tools Consolidate data reports and deliverables to help drive data-based strategic decision making Provide analysis prior to and following any recommended changes. Ensure accuracy of data through partnerships with team members Work cross-functionally with teams to drive data and reporting improvements. Requirements: Master's in computer science/Applications, Information Technology/Systems and Math Sciences or Electronics/Electrical Engineering Minimum 6 months experience as Data Analyst, Business Intelligence Analyst, Data Engineer, Cloud Data Engineer or related Must be willing to travel/relocate to anywhere in the US Job location: Edison, NJ and unanticipated locations throughout US Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Candidate Privacy Policy Orion Systems Integrators, LLC and its subsidiaries and its affiliates (collectively, “Orion,” “we” or “us”) are committed to protecting your privacy. This Candidate Privacy Policy (orioninc.com) (“Notice”) explains: What information we collect during our application and recruitment process and why we collect it; How we handle that information; and How to access and update that information. Your use of Orion services is governed by any applicable terms in this notice and our general .

Technology/Systems Data Coordinator Additional Information: Show/Hide Robbinsville School District Vacancy Robbinsville Public Schools is a high-performing (PreK - 12) school district located in Mercer County, New Jersey. We educate about 3,100 students in three (3) schools (elementary, middle, and high school). The following position is anticipated: Systems Data Coordinator Anticipated Start Date: 01/20/2026 Application Deadline: 01/09/26 or until filled Requirements: Please see attached job description for qualifications and responsibilities Salary: $90k to $110k; Commensurate with experience Benefits: Full-time staff are eligible for Medical, Prescription, and Dental Benefits. Sick, personal, vacation, holiday and bereavement days are included. Application Procedure: Applications are being accepted on-line through Applitrack until the position is filled. ********************************************************************** Robbinsville Public Schools is an Equal Opportunity / Affirmative Action Employer, and all qualified applicants are encouraged to apply. Attachment(s): * Systems Data Coordinator (4).pdf

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. We are looking for a motivated Data Scientist to help Datavant revolutionize the healthcare industry with AI. This is a critical role where the right candidate will have the ability to work on a wide range of problems in the healthcare industry with an unparalleled amount of data. You'll join a team focused on deep medical document understanding, extracting meaning, intent, and structure from unstructured medical and administrative records. Our mission is to build intelligent systems that can reliably interpret complex, messy, and high-stakes healthcare documentation at scale. This role is a unique blend of applied machine learning, NLP, and product thinking. You'll collaborate closely with cross-functional teams to: + Design and develop models to extract entities, detect intents, and understand document structure + Tackle challenges like long-context reasoning, layout-aware NLP, and ambiguous inputs + Evaluate model performance where ground truth is partial, uncertain, or evolving + Shape the roadmap and success metrics for replacing legacy document processing systems with smarter, scalable solutions We operate in a high-trust, high-ownership environment where experimentation and shipping value quickly are key. If you're excited by building systems that make healthcare data more usable, accurate, and safe, please reach out. **Qualifications** + 3+ years of experience with data science and machine learning in an industry setting, particularly in designing and building NLP models. + Proficiency with Python + Experience with the latest in language models (transformers, LLMs, etc.) + Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc. + Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow + Industry experience shepherding ML/AI projects from ideation to delivery + Demonstrated ability to influence company KPIs with AI + Demonstrated ability to navigate ambiguity **Bonus Experience** + Experience with document layout analysis (using vision, NLP, or both). + Experience with Spark/PySpark + Experience with Databricks + Experience in the healthcare industry **Responsibilities** + Play a key role in the success of our products by developing models for document understanding tasks. + Perform error analysis, data cleaning, and other related tasks to improve models. + Collaborate with your team by making recommendations for the development roadmap of a capability. + Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines. + Understand product use-cases and define key performance metrics for models according to business requirements. + Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.). **After 3 Months, You Will...** + Have a strong grasp of technologies upon which our platform is built. + Be fully integrated into ongoing model development efforts with your team. **After 1 Year, You Will...** + Be independent in reading literature and doing research to develop models for new and existing products. + Have ownership over models internally, communicating with product managers, customer success managers, and engineers to make the model and the encompassing product succeed. + Be a subject matter expert on Datavant's models and a source from which other teams can seek information and recommendations. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $136,000-$170,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .

Description & Requirements We now have an exciting opportunity for a Principal Data Scientist to join the Maximus AI Accelerator supporting both the enterprise and our clients. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team. You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes. This position will be focused on strategic company-wide initiatives but will also play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.) This position requires occasional travel to the DC area for client meetings. Essential Duties and Responsibilities: - Make deep dives into the data, pulling out objective insights for business leaders. - Initiate, craft, and lead advanced analyses of operational data. - Provide a strong voice for the importance of data-driven decision making. - Provide expertise to others in data wrangling and analysis. - Convert complex data into visually appealing presentations. - Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners. - Understand the importance of automation and look to implement and initiate automated solutions where appropriate. - Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects. - Utilize various languages for scripting and write SQL queries. Serve as the primary point of contact for data and analytical usage across multiple projects. - Guide operational partners on product performance and solution improvement/maturity options. - Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization. - Learn new skills in advanced analytics/AI/ML tools, techniques, and languages. - Mentor more junior data analysts/data scientists as needed. - Apply strategic approach to lead projects from start to finish; Job-Specific Minimum Requirements: - Develop, collaborate, and advance the applied and responsible use of AI, ML and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation. - Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital. - Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning. - Contribute to the development of mathematically rigorous process improvement procedures. - Maintain current knowledge and evaluation of the AI technology landscape and emerging. developments and their applicability for use in production/operational environments. Minimum Requirements - Bachelor's degree in related field required. - 10-12 years of relevant professional experience required. Job-Specific Minimum Requirements: - 10+ years of relevant Software Development + AI / ML / DS experience. - Professional Programming experience (e.g. Python, R, etc.). - Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML. - Experience with API programming. - Experience with Linux. - Experience with Statistics. - Experience with Classical Machine Learning. - Experience working as a contributor on a team. Preferred Skills and Qualifications: - Masters or BS in quantitative discipline (e.g. Math, Physics, Engineering, Economics, Computer Science, etc.). - Experience developing machine learning or signal processing algorithms: - Ability to leverage mathematical principles to model new and novel behaviors. - Ability to leverage statistics to identify true signals from noise or clutter. - Experience working as an individual contributor in AI. - Use of state-of-the-art technology to solve operational problems in AI and Machine Learning. - Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles. - Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions. - Ability to build reference implementations of operational AI & Advanced Analytics processing solutions. Background Investigations: - IRS MBI - Eligibility #techjobs #VeteransPage EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at **************************. Minimum Salary $ 156,740.00 Maximum Salary $ 234,960.00

SRP is a Big Data startup company located in Princeton, New Jersey. Job DescriptionSRP is a big data startup company located in Princeton, NJ focused on Dynamic Pricing, run by seasoned alumni from Stanford University and Wharton. We are looking for a seasoned and highly experienced, hands-on big data architect. This person could potentially become a co-founder or CTO in this startup. Qualifications: * 10 to 15 years of experience in technology including Big Data and Hadoop * Experienced in Hadoop, Hive/Pig, various hadoop distributions such as Cloudera or Hortonworks * Experienced in Spark * Strong working knowledge with visualization tools such as Tableau or equivalent * Must have worked with really large data sets in the past * Experienced with databases, SQL, and AWS High energy and high enthusiasm are essential for this role, and a very strong drive to succeed. Learn more about us at: ****************** Additional Information This is a one time contracting project

Remote: 100% In Bid / Vacant: Vacant Work Authorization: US Citizenship is required. Type: Full Time Skill Level: 3 years to SME Salary Range: Commencing with experience Benefits: The standard compensation package consists of a competitive salary, 100% company-paid health/dental/vision care benefits, 100% company-paid LTD/STD/Life Insurance benefits, a 401(k) with company match, and a generous holiday/vacation/sick leave policy. Introduction: Our client needs a Data Scientist to apply and enhance their skills in developing, running, and analyzing results of complex queries against massive-scale data stores. Role Description: Manipulating high-volume structured and unstructured data to perform analysis and generate reporting/products. Using analytic techniques and tools and All-Source data analysis to provide technical targeting analytic support to the Sponsor Agency. Performing large-scale parallel processing of data and developing, validating, and using methodologies to support analytic requirements in Clustered Computing environments. Required Skills & Experience: Bachelor's Degree or experience or instead of a degree and 2+ years of Intelligence Analysis experience in the intelligence community Experience using analytic techniques and tools performing technical targeting analytic support for the Sponsor Agency. Experience using any computer languages (e.g., Python, R, Pig, Java, C, SQL, ECL) to perform large-scale parallel data processing. Ability to think outside the box and seek guidance/mentorship from peers. Optional Desired Skills & Experience: Educational or practical experience in a STEM (Science, Technology, Engineering or Mathematics) field. Note: No 3rd Party Vendors or 3 rd Party Candidates

Work Arrangement: Hybrid (3 days onsite, 2 days remote) Employment Type: Full-time (W2 only - No C2C or 1099) Experience Required: 7+ years We are seeking a highly skilled Data Scientist with a strong background in machine learning, data modeling, and statistical analysis. The ideal candidate will have at least 7 years of hands-on experience in designing, developing, and deploying ML models, preferably in a risk-related or financial services environment. This role will support data-driven decision-making processes and help deliver innovative AI/ML solutions in a collaborative and high-performance team setting. Develop, validate, and implement machine learning and statistical models. Work with large-scale datasets to extract actionable insights. Collaborate with cross-functional teams including data engineering, product, and risk teams. Analyze and interpret the results of model performance and deliver recommendations. Stay current with emerging trends and tools in AI/ML and model risk management. Job requirements Must-Have Skills: 7+ years of experience in Data Science or a related field. Proficiency in Python for data analysis, modeling, and ML development. Strong understanding of machine learning algorithms and statistical modeling. Hands-on experience with data visualization and analytical tools. Excellent problem-solving and communication skills. Good to Have: Experience in Model Risk Development related to ML or LLMs (Large Language Models). Financial services or risk modeling background.Candidate Requirements: Local to or willing to commute to Pennington, NJ. W2 candidates only - no third-party or C2C engagements. Authorized to work in the United States without sponsorship. TopTech Talent is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. 🚫 Third-party recruiters, please do not reach out for this role. All done! Your application has been successfully submitted! Other jobs

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VTS3 is a Veteran-owned and operated company which provides full-service Recruiting, Talent Search, Staffing, and IT Professional Services. For more information visit ************* Job Description We are looking a Data Scientist Consultant in Trenton, NJ. The qualified Data Scientist will be part of our client's Prescription Overdose: Data-Driven Prevention Initiative (DDPI). The successful candidate ideally will have extensive experience working with large public health databases such as hospitalization data, vital records (death records) and prescription monitoring database. The Data Scientist will lead the preparation and consolidation of public health data to identify indicators for the dashboard and perform predictive modeling and analytics. The Data Scientist will work closely with the Departments Healthcare Quality and Informatics team assigned on this project, the Data Architect, and Office of Information Technology Services (HIT) staff. Responsibilities: Research and develop statistical learning models for data analysis Collaborate with HQI and HIT to understand general Department and the specific DDPI project needs and devise possible solutions Keep up-to-date with latest technology trends Communicate results and ideas to key staff in DOH Implement new statistical or other mathematical methodologies as needed for specific models or analyses Optimize joint development efforts through appropriate database use and project design This is an hourly position with opportunity for overtime. **All Candidates Must be Authorized to Legally Work in the US Without Sponsorship** Qualifications • Extensive background in data mining and statistical analysis • Ability to understand various data structures and common methods in data transformation • Excellent pattern recognition and predictive modeling skills • Experience with programming languages such as Java/Python is an asset • HDFS / Data Lake Stores / Analytics • SQL Databases / Warehouses / BISM Stack (SSMS, SSDT, SSIS, SSAS, SSRS) • Analysis Services (Tabular Mode / DAX / Cube concepts) • Experience with modeling and presentation technologies (SQL Server Analysis Services, Reporting Services, MicroStrategy, Business Objects, Cognos, Tableau, PowerBI, others) • Expertise in BI-related data architecture, integration, modeling, and presentation • Understands BI-related features and limitations of common database platforms (SQL Server, Analysis Services, Oracle, DB2, Postgres, others) • Experience with ETL technologies (SQL Server Integration Services, Data Factory) • At least 5-10 years as a data scientist with all of the skills listed above • Bachelor's Degree in Computer Science, Statistics, Applied Math or related field Education Preferred: • Master Degree in Computer Science, Statistics, Applied Math or related field Additional Information $500 Referral Fee Program Earn extra cash while helping your friends! VTS3 will pay you up to $500.00 for each person you refer to us and we place into a contract or full-time position. If you know someone who's a good candidate for any of our openings, use the "Refer a friend" button on this page and earn extra cash. The rules are simple: The referral must be made by using the "Refer a friend" button on this page The person you refer must be placed within 90 days of being referred The person you refer must complete 480 billable hours Cannot be someone we already have on our team or are currently working with VTS3 ONLY works directly with candidates. All candidates registered must be able to legally work in the United States.

We are looking a Data Scientist Consultant in Trenton, NJ. The qualified Data Scientist will be part of our client's Prescription Overdose: Data-Driven Prevention Initiative (DDPI). The successful candidate ideally will have extensive experience working with large public health databases such as hospitalization data, vital records (death records) and prescription monitoring database. The Data Scientist will lead the preparation and consolidation of public health data to identify indicators for the dashboard and perform predictive modeling and analytics. The Data Scientist will work closely with the Departments Healthcare Quality and Informatics team assigned on this project, the Data Architect, and Office of Information Technology Services (HIT) staff. Responsibilities: Research and develop statistical learning models for data analysis Collaborate with HQI and HIT to understand general Department and the specific DDPI project needs and devise possible solutions Keep up-to-date with latest technology trends Communicate results and ideas to key staff in DOH Implement new statistical or other mathematical methodologies as needed for specific models or analyses Optimize joint development efforts through appropriate database use and project design This is an hourly position with opportunity for overtime. **All Candidates Must be Authorized to Legally Work in the US Without Sponsorship** Qualifications • Extensive background in data mining and statistical analysis • Ability to understand various data structures and common methods in data transformation • Excellent pattern recognition and predictive modeling skills • Experience with programming languages such as Java/Python is an asset • HDFS / Data Lake Stores / Analytics • SQL Databases / Warehouses / BISM Stack (SSMS, SSDT, SSIS, SSAS, SSRS) • Analysis Services (Tabular Mode / DAX / Cube concepts) • Experience with modeling and presentation technologies (SQL Server Analysis Services, Reporting Services, MicroStrategy, Business Objects, Cognos, Tableau, PowerBI, others) • Expertise in BI-related data architecture, integration, modeling, and presentation • Understands BI-related features and limitations of common database platforms (SQL Server, Analysis Services, Oracle, DB2, Postgres, others) • Experience with ETL technologies (SQL Server Integration Services, Data Factory) • At least 5-10 years as a data scientist with all of the skills listed above • Bachelor's Degree in Computer Science, Statistics, Applied Math or related field Education Preferred: • Master Degree in Computer Science, Statistics, Applied Math or related field Additional Information $500 Referral Fee Program Earn extra cash while helping your friends! VTS3 will pay you up to $500.00 for each person you refer to us and we place into a contract or full-time position. If you know someone who's a good candidate for any of our openings, use the "Refer a friend" button on this page and earn extra cash. The rules are simple: The referral must be made by using the "Refer a friend" button on this page The person you refer must be placed within 90 days of being referred The person you refer must complete 480 billable hours Cannot be someone we already have on our team or are currently working with VTS3 ONLY works directly with candidates. All candidates registered must be able to legally work in the United States.

**Req number:** R6105 **Employment type:** Full time **Worksite flexibility:** Remote **Who we are** CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right-whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise. **Job Summary** As a Data Analyst Intern, you will work within our technical data analytics team, focusing on analyzing existing customer data. You will have the opportunity to apply your analytical skills to discover patterns and insights that will help drive business strategies and improve customer experiences. **Job Description** We are seeking a motivated and detail-oriented **Data Analyst Intern** to join our team and contribute to impactful data analysis projects. This role is a **full-time internship role and is remote** . The internship dates are June 1, 2026 to July 31 2026. **This internship is a full-time opportunity requiring a commitment of** **40 hours** **per week.** **Candidates must be available during core business hours (8:30 am EST to 5:00 pm EST) for the entire 9-week duration of the program.** **Please note that all work must be performed within the United States.** **This position does not offer work authorization sponsorship now or in the future. Candidates requiring sponsorship will not be considered.** **What** **You'll** **Do** + Assist in collecting, processing, and analyzing large datasets to extract meaningful insights + Collaborate with cross-functional teams to understand data requirements and deliver actionable analytics + Develop and maintain dashboards and reports to communicate findings to stakeholders + Utilize statistical techniques and data analysis tools to identify trends and patterns in customer data + Support the team in ad hoc analysis and reporting requests **What** **You'll** **Need** Required: + Current Junior pursuing a degree in Computer Science or a related field + Minimum GPA of 3.5 or higher + Strong analytical skills and experience with data patterns and trends + Excellent critical thinking and problem-solving abilities + Familiarity with data analytics tools and techniques + Passion for working with data and a keen interest in customer data analysis Preferred: + Understanding data engineering, data warehousing, and ETL processes + Familiarity with Python, Java, or Scala + Familiarity with Azure data storage + Exposure to data storage technologies such as SQL databases, NoSQL databases, and data lakes. + Familiarity with cloud platforms (AWS or Azure,) and related data services **Physical Demands** + Ability to safely and successfully perform the essential job functions consistent with the ADA and other federal, state, and local standards + Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc. + Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor The pay for this position is $20 per hour (USD). Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages for this role will include medical coverage as well as 401k retirement account access. Employees in this role may also be entitled to paid sick leave and/or other paid time off as provided by applicable law. \#DNP **Reasonable accommodation statement** If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 - 8111. The pay range for this position is listed above. Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages for this role will include medical coverage as well as 401k retirement account access. Employees in this role may also be entitled to paid sick leave and/or other paid time off as provided by applicable law.

American Heritage Credit Union, a $5+ billion credit union, has an immediate opening for a Fraud Data Analyst. This position will assist the Enterprise Risk and Compliance team in preventing fraud and managing losses to mitigate their effects on the credit union and its members. Provide analytic and project support to the ERM department for the advancement of controls and mitigation of risk by organizing, analyzing, and drawing conclusions from volumes of data to identify fraud trends by leveraging multiple technologies and working across verticals to help design mitigation strategies. Responsibilities Include: * Delve into production data to produce, maintain, and curate metrics and reports for the Fraud team to implement strategies to combat fraud. * Review system-generated triggers for potentially fraudulent activity on members' accounts as well as credit and debit cards. * Perform detailed research and investigation on alerts that are generated for potential fraud schemes. * Work closely with variety of cross-functional teams to analyze suspicious activity and provide mitigation recommendations. * Build and maintain tools and\/or processes to collect and track data and troubleshoot errors. * Develop and maintain processes and documentation to ensure best practices for fraud identification, escalation, and mitigation are effectively adhered to and communicated. * Develop, maintain, and publish periodic Key Performance Indicators (critical metrics) for the Fraud Program. * Leverage data to understand fraudulent behavior, identify trends that indicate elevated risk, and report to appropriate team and management. * Use relational database queries and spreadsheets to quickly analyze, manipulate, and visualize small to large datasets to guide fraud and risk policy discussions. * Conduct research, work independently, and make complex investigation decisions. * Develop strategies for the prevention and\/or detection of internal and external fraud. * Support development of new fraud tools, processes, and third-party provided services. * Work closely with third-party providers to promptly implement, update, and make changes to fraud preventive rules. * Interpret data, analyze results using analytics, research methodologies, and statistical techniques. * Prepare, analyze, and summarize various weekly, monthly, and periodic operational results for use by various key stakeholders by creating reports, specifications, instructions, and flowcharts. * Conduct full lifecycle of analytics projects, including pulling, manipulating, and exporting data from project requirement documentation to design and execution. * Respond to fraud alerts by notifying members, restricting cards or other account privileges, and closing accounts. * Investigate claims of fraud against the member and credit union by following governing regulations, policies, and procedures when gathering evidence and information. * Assist with subpoenas and legal requests and provide timely and accurate evidence to law enforcement agencies. * Assist with the processing of fraudulent items by gathering information and presenting documentary evidence in an accurate and timely manner; Work with members to define and eliminate future fraudulent transactions. * Assist the ERM team with the timely preparation of Fraudulent Check Crime Reports, Bad Check Reports, and Fraudulent Credit Card Reports. * Assist with performing collection activities as needed on suspected or potentially fraudulent accounts; Track losses resulting from fraudulent transactions within the case management system. * Assist the ERM team with any investigations requested at the direction of the AVP of Fraud Investigations. * At the direction of the AVP of Fraud Investigations, assist branch staff and other departments throughout the credit union with resolving questionable activity on member accounts. * Assist with implementing corrective action procedures as necessary to ensure compliance with policies and procedures and to avoid future compliance issues. * Participate in establishing and maintaining professional business relationships with regulatory agencies, auditors, appraisers, and business associates including legal and law enforcement. * Assist with prompt resolution of complaints, questions, and problems. * Maintain awareness of new fraud techniques and security developments for counteracting fraud. * Remain informed of trends and developments in loss and fraud issues and loan reviews. QUALIFICATIONS: * One to three years of similar or related experience using advanced data mining tools and large datasets, performing statistical analysis, and conducting predictive modeling. * Financial institution experience and industry knowledge required. * Equivalent to a college degree (BS or BA) preferably in a quantitative field (Finance, Risk, Mathematics or Statistics) or the equivalent combination of education and experience in Fraud Prevention. * Experience with analyzing Payment Data, ACH\/Wire data, Fraud data, Financial Crime data. * Experience in performing trend and detect analysis and building reports. * Significant experience with relational databases, scripting languages, and database concepts. * Knowledge of risk management and control principles. * Working knowledge or the ability to learn and understand credit union products and services. * Advanced analytical skills with experience collecting, organizing, analyzing, and disseminating abundant information with accuracy. * Problem-solver with a strong analytic mindset, competent in research and problem resolution. * Reliable and thorough with a deep commitment to quality and accuracy; Keen eye for details and exceptional analytical, planning, organizational and problem-solving skills. * Considerable judgment is required. Must be able to analyze complicated factual situations, apply functional principles and develop solutions. * Ability to understand broader business issues, objectively analyze data and information to form a big-picture view of risk. * Creativity and ability to be data-driven and aggressive in delivering results required. * Self-motivated with proven ability to work independently under minimal supervision, prioritize issues, work within ambiguity, and manage tight deadlines. * Must be available for rotating weekend hours * Must be available to work in office at the Neshaminy Interplex office. Our commitment to your success is enhanced by our competitive rate commensurate with experience and an extensive benefits package including paid time off, health benefits, 401(k) with a generous escalating company match, and future growth opportunities within the company. We work to maintain the best possible professional and environmentally friendly atmosphere for our employees. EOE M\/F\/D\/V","

At Genmab, we are dedicated to building extra[not]ordinary futures, together, by developing antibody products and groundbreaking, knock-your-socks-off KYSO antibody medicines that change lives and the future of cancer treatment and serious diseases. We strive to create, champion and maintain a global workplace where individuals' unique contributions are valued and drive innovative solutions to meet the needs of our patients, care partners, families and employees. Our people are compassionate, candid, and purposeful, and our business is innovative and rooted in science. We believe that being proudly authentic and determined to be our best is essential to fulfilling our purpose. Yes, our work is incredibly serious and impactful, but we have big ambitions, bring a ton of care to pursuing them, and have a lot of fun while doing so. Does this inspire you and feel like a fit? Then we would love to have you join us! Job Title Clinical Development Data Science Intern Why Genmab Our internship program provides interns with hands-on experience and relevant projects that directly align with our company's goals. Additionally, we believe our program provides a valuable opportunity to learn, thrive, and build a strong network. We encourage you to review our website to learn why we're always looking for smart, purpose-led candidates to play a role in our bold, extra[not]ordinary future. Job Overview The Clinical Development Data Science Intern will join Genmab's Clinical Development Data Science team and contribute to innovative AI/ML initiatives across the clinical development lifecycle. This role is ideal for a highly technical, impact-driven data scientist who is pursuing a Master's or PhD in a quantitative or computational discipline, and who is excited to apply modern machine learning, natural language processing, and generative AI to real clinical and scientific challenges in oncology. The intern will support projects such as building AI-powered tools to assist trial design, developing analytics pipelines for clinical and safety data, and prototyping advanced models that help clinicians and scientists make better, faster decisions. You will collaborate with experienced data scientists, data engineers, clinicians, and other cross-functional partners to deliver meaningful analyses, prototypes, and decision-support tools used across clinical development. What You'll Do * Develop machine learning and NLP pipelines to extract, organize, and summarize information from clinical trial protocols, regulatory documents, and unstructured biomedical text. * Support the development of AI-driven tools that: * Accelerate protocol design through information retrieval, extraction, and summarization. * Enhance pharmacovigilance and safety monitoring through risk modeling, anomaly detection, and severity prediction. * Apply advanced modeling techniques including transformers, generative models, survival analysis, clustering, and other ML approaches. * Experiment with explainability methods (e.g., SHAP, LIME) to improve the interpretability of models used in clinical decision-support contexts. * Contribute to documentation, model evaluation, technical reviews, and final presentations to internal stakeholders. Required Qualifications, Capabilities and Skills * Sustained progress in a PhD program in a quantitative or computational discipline (Computer Science, Data Science, Statistics, Physics, Computational Chemistry, Computational Biology, Applied Mathematics, Engineering, or related quantitative/technical field). * Master's students with strong applied experience will also be considered. * Strong proficiency in modern Python for machine learning and scientific computing (e.g., PyTorch/TensorFlow, scikit-learn, spa Cy, Hugging Face transformers, pandas, NumPy). * Candidates should be experienced in building modular scripts and reusable modules, command-line utilities, and structured codebases for data processing and machine learning workflows. * Experience applying ML or NLP methods to real-world datasets. * Ability to design, build, and evaluate computational models end-to-end. * Excellent analytical problem-solving abilities and intellectual curiosity. * Clear written and verbal communication skills. * High attention to detail, scientific rigor, and commitment to producing high-quality work. * Ability to work independently as well as collaboratively within interdisciplinary teams. Preferred Qualifications, Capabilities and Skills * Experience with large language models, retrieval-augmented generation (RAG), or generative AI workflows. * Prior work involving unstructured document parsing (e.g., PDFs, scanned text, scientific literature). * Full-stack data science skill set, including experience with: * Writing production-quality, modular, and reusable Python code * Building scalable, reproducible systems and packaging code for broader use * Containerization (e.g., Docker) and reproducible compute environments * Workflow or pipeline orchestration tools (Airflow, Prefect, Dagster, etc.) * Cloud computing environments (AWS, Azure, GCP) * Experience using Git repositories and version-control workflows, including: * Branching strategies, pull requests, peer code reviews * Good commit hygiene and collaborative development practices * Familiarity with GitHub, GitLab, or similar platforms * Exposure to CI/CD, structured logging, automated testing, or other professional engineering practices. * Experience with MLOps concepts such as model packaging, monitoring, reproducibility, and deployment is a strong plus. General Intern Information - Date/Location/Schedule Internships will take place June - August 2026. This role will be based in Princeton, NJ, and operate on a required hybrid schedule - 3 days in the office and 2 days remote per week. This role is not eligible for sponsorship. What's next? Help us learn about you by submitting a complete and thoughtful application, which includes your resume. Your application and resume are a way for us to initially get to know you, so it's important to complete all relevant questions to ensure we have as much information about you as possible. Every application matters to us, and we'll carefully review each submission as quickly as possible to see if your qualifications align with the role. While we're unable to provide individual updates, rest assured that we're working diligently to move through the process efficiently. If you move forward in the process, you'll receive an email invitation to connect with us and dive deeper into this exciting opportunity. The final stage will bring selected candidates meeting directly with our hiring teams, where you'll have the chance to showcase your potential. We are committed to keeping you informed and will share decisions with all candidates as soon as we are able. We can't wait to see where this journey takes you! About You * You are genuinely passionate about our purpose * You bring precision and excellence to all that you do * You believe in our rooted-in-science approach to problem-solving * You are a generous collaborator who can work in teams with a broad spectrum of backgrounds * You take pride in enabling the best work of others on the team * You can grapple with the unknown and be innovative * You have experience working in a fast-growing, dynamic company (or a strong desire to) * You work hard and are not afraid to have a little fun while you do so! Locations Genmab maximizes the efficiency of an agile working environment, when possible, for the betterment of employee work-life balance. Our offices are crafted as open, community-based spaces that work to connect employees while being immersed in our powerful laboratories. Whether you're in one of our office spaces or working remotely, we thrive on connecting with each other to innovate. About Genmab Genmab is an international biotechnology company with a core purpose to improve the lives of patients through innovative and differentiated antibody therapeutics. For 25 years, its hard-working, innovative and collaborative team has invented next-generation antibody technology platforms and harnessed translational, quantitative and data sciences, resulting in a proprietary pipeline including bispecific T-cell engagers, antibody-drug conjugates, next-generation immune checkpoint modulators and effector function-enhanced antibodies. By 2030, Genmab's vision is to transform the lives of people with cancer and other serious diseases with Knock-Your-Socks-Off (KYSO) antibody medicines. Established in 1999, Genmab is headquartered in Copenhagen, Denmark with international presence across North America, Europe and Asia Pacific. For more information, please visit Genmab.com and follow us on LinkedIn and X. Genmab is committed to protecting your personal data and privacy. Please see our privacy policy for handling your data in connection with your application on our website Job Applicant Privacy Notice (genmab.com).

Work Arrangement: Hybrid (3 days onsite, 2 days remote) Employment Type: Full-time (W2 only - No C2C or 1099) Experience Required: 7+ years We are seeking a highly skilled Data Scientist with a strong background in machine learning, data modeling, and statistical analysis. The ideal candidate will have at least 7 years of hands-on experience in designing, developing, and deploying ML models, preferably in a risk-related or financial services environment. This role will support data-driven decision-making processes and help deliver innovative AI/ML solutions in a collaborative and high-performance team setting. Develop, validate, and implement machine learning and statistical models. Work with large-scale datasets to extract actionable insights. Collaborate with cross-functional teams including data engineering, product, and risk teams. Analyze and interpret the results of model performance and deliver recommendations. Stay current with emerging trends and tools in AI/ML and model risk management. Must-Have Skills: 7+ years of experience in Data Science or a related field. Proficiency in Python for data analysis, modeling, and ML development. Strong understanding of machine learning algorithms and statistical modeling. Hands-on experience with data visualization and analytical tools. Excellent problem-solving and communication skills. Good to Have: Experience in Model Risk Development related to ML or LLMs (Large Language Models). Financial services or risk modeling background.Candidate Requirements: Local to or willing to commute to Pennington, NJ. W2 candidates only - no third-party or C2C engagements. Authorized to work in the United States without sponsorship. TopTech Talent is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. 🚫 Third-party recruiters, please do not reach out for this role.

Job Description American Heritage Credit Union, a $5+ billion credit union, has an immediate opening for a Fraud Data Analyst. This position will assist the Enterprise Risk and Compliance team in preventing fraud and managing losses to mitigate their effects on the credit union and its members. Provide analytic and project support to the ERM department for the advancement of controls and mitigation of risk by organizing, analyzing, and drawing conclusions from volumes of data to identify fraud trends by leveraging multiple technologies and working across verticals to help design mitigation strategies. Responsibilities Include: Delve into production data to produce, maintain, and curate metrics and reports for the Fraud team to implement strategies to combat fraud. Review system-generated triggers for potentially fraudulent activity on members' accounts as well as credit and debit cards. Perform detailed research and investigation on alerts that are generated for potential fraud schemes. Work closely with variety of cross-functional teams to analyze suspicious activity and provide mitigation recommendations. Build and maintain tools and/or processes to collect and track data and troubleshoot errors. Develop and maintain processes and documentation to ensure best practices for fraud identification, escalation, and mitigation are effectively adhered to and communicated. Develop, maintain, and publish periodic Key Performance Indicators (critical metrics) for the Fraud Program. Leverage data to understand fraudulent behavior, identify trends that indicate elevated risk, and report to appropriate team and management. Use relational database queries and spreadsheets to quickly analyze, manipulate, and visualize small to large datasets to guide fraud and risk policy discussions. Conduct research, work independently, and make complex investigation decisions. Develop strategies for the prevention and/or detection of internal and external fraud. Support development of new fraud tools, processes, and third-party provided services. Work closely with third-party providers to promptly implement, update, and make changes to fraud preventive rules. Interpret data, analyze results using analytics, research methodologies, and statistical techniques. Prepare, analyze, and summarize various weekly, monthly, and periodic operational results for use by various key stakeholders by creating reports, specifications, instructions, and flowcharts. Conduct full lifecycle of analytics projects, including pulling, manipulating, and exporting data from project requirement documentation to design and execution. Respond to fraud alerts by notifying members, restricting cards or other account privileges, and closing accounts. Investigate claims of fraud against the member and credit union by following governing regulations, policies, and procedures when gathering evidence and information. Assist with subpoenas and legal requests and provide timely and accurate evidence to law enforcement agencies. Assist with the processing of fraudulent items by gathering information and presenting documentary evidence in an accurate and timely manner; Work with members to define and eliminate future fraudulent transactions. Assist the ERM team with the timely preparation of Fraudulent Check Crime Reports, Bad Check Reports, and Fraudulent Credit Card Reports. Assist with performing collection activities as needed on suspected or potentially fraudulent accounts; Track losses resulting from fraudulent transactions within the case management system. Assist the ERM team with any investigations requested at the direction of the AVP of Fraud Investigations. At the direction of the AVP of Fraud Investigations, assist branch staff and other departments throughout the credit union with resolving questionable activity on member accounts. Assist with implementing corrective action procedures as necessary to ensure compliance with policies and procedures and to avoid future compliance issues. Participate in establishing and maintaining professional business relationships with regulatory agencies, auditors, appraisers, and business associates including legal and law enforcement. Assist with prompt resolution of complaints, questions, and problems. Maintain awareness of new fraud techniques and security developments for counteracting fraud. Remain informed of trends and developments in loss and fraud issues and loan reviews. QUALIFICATIONS: One to three years of similar or related experience using advanced data mining tools and large datasets, performing statistical analysis, and conducting predictive modeling. Financial institution experience and industry knowledge required. Equivalent to a college degree (BS or BA) preferably in a quantitative field (Finance, Risk, Mathematics or Statistics) or the equivalent combination of education and experience in Fraud Prevention. Experience with analyzing Payment Data, ACH/Wire data, Fraud data, Financial Crime data. Experience in performing trend and detect analysis and building reports. Significant experience with relational databases, scripting languages, and database concepts. Knowledge of risk management and control principles. Working knowledge or the ability to learn and understand credit union products and services. Advanced analytical skills with experience collecting, organizing, analyzing, and disseminating abundant information with accuracy. Problem-solver with a strong analytic mindset, competent in research and problem resolution. Reliable and thorough with a deep commitment to quality and accuracy; Keen eye for details and exceptional analytical, planning, organizational and problem-solving skills. Considerable judgment is required. Must be able to analyze complicated factual situations, apply functional principles and develop solutions. Ability to understand broader business issues, objectively analyze data and information to form a big-picture view of risk. Creativity and ability to be data-driven and aggressive in delivering results required. Self-motivated with proven ability to work independently under minimal supervision, prioritize issues, work within ambiguity, and manage tight deadlines. Must be available for rotating weekend hours Must be available to work in office at the Neshaminy Interplex office. Our commitment to your success is enhanced by our competitive rate commensurate with experience and an extensive benefits package including paid time off, health benefits, 401(k) with a generous escalating company match, and future growth opportunities within the company. We work to maintain the best possible professional and environmentally friendly atmosphere for our employees. EOE M/F/D/V