Principal biostatistician jobs near me

About Neudesic Passion for technology drives us, but it's innovation that defines us . From design to development and support to management, Neudesic offers decades of experience, proven frameworks and a disciplined approach to quickly deliver reliable, quality solutions that help our customers go to market faster. What sets us apart from the rest, is an amazing collection of people who live and lead with our core values. We believe that everyone should be Passionate about what they do, Disciplined to the core, Innovative by nature, committed to a Team and conduct themselves with Integrity. If these attributes mean something to you - we'd like to hear from you. Role Summary Neudesic is currently seeking a Senior Consultant - Data Scientist for our Data & AI Practice. This role will report to the Regional Director of Data & AI. The role requires the perfect mix of being a brilliant technologist and also a deep appreciation for how technology drives business value. You will have broad and deep technology knowledge and the ability to architect solutions by mapping client business problems to end-to-end technology solutions. Demonstrated ability to engage senior level technology decision makers in data management, real-time analytics, predictive analytics and data visualization is a must. To be successful, you must exhibit strong leadership qualities necessary for building trust with clients and our technologists, with the ability to deliver ML/DL projects to successful completion. You will partner with solution architects to drive client success by providing practical guidance based on your years of experience in data management and visualization solutions. You will partner with a diverse sales unit to professionally represent Neudesic experience and ability to drive business results. In addition, you will assist in creating sales assets that clearly communicate our value proposition to technical decision makers. Requirements: 3+ years of hands-on experience in building and deploying machine learning and/or generative AI solutions in a business environment Bachelor's degree in a quantitative field (e.g., Computer Science, Engineering, Business Analytics, Statistics, Mathematics); advanced degree preferred Proven expertise with Databricks and Microsoft Fabric for data engineering and ML workflows Proficient in Python (including ML/AI libraries such as scikit-learn, PyTorch, TensorFlow) and SQL; experience with R is a plus Strong understanding of statistical modeling, machine learning, MLOps, and large language models (LLMs) Demonstrated ability to work with large, complex datasets and relational/cloud-based databases (e.g., Azure SQL, Delta Lake) Experience operationalizing ML models and pipelines in production environments Preferred Qualifications Experience with cloud platforms, especially Microsoft Azure (Azure Machine Learning, Azure Data Lake, etc.) Familiarity with modern data engineering tools and orchestration frameworks (e.g., dbt, Apache Airflow, Delta Live Tables) Experience with data visualization and BI tools (e.g., Power BI, Tableau) Ability to communicate complex analytical and technical concepts to both technical and non-technical audiences Strong data storytelling skills and ability to drive insights from exploratory and visual analysis Intellectual curiosity, strong problem-solving skills, and a collaborative, team-oriented mindset Demonstrated leadership, relationship-building, and mentoring abilities More about our Predictive Enterprise Service Line: The digital business uses data as a competitive differentiator. The explosion of big data, machine learning and cloud computing power creates an opportunity to make a quantum leap forward in business understanding and customer engagement. The availability of massive amounts of information, massive computing power and advancements in artificial intelligence allow the digital business to more accurately predict, plan for and capture opportunity unlike ever before. The predictive enterprise service line the evolution from using data strictly as a reporting mechanism of what's happened to leveraging the latest in advanced analytics to predict and prescribe future business action. Our services include: · Data Management Solutions: We build architectures, policies, practices and procedures that manage the full data lifecycle of an enterprise. We bring internal and exogenous datasets together to formulate new perspectives and drive to data-thinking. · Self-Service Data Solutions: We create classic self-service and modern data-blending solutions that enable end-users to enrich pre-authored analytic reports by blending them with additional data sources. · Real-Time Analytic Solutions: We build real-time analytics solutions on data-in-motion that eliminate the dependency on stale and static data sets resulting in the ability to immediately query and analyze diverse data sets. · Machine Learning Solutions: We build machine-learning solutions that support the most complex decision support systems Accommodations currently remain in effect for Neudesic employees to work remotely, provided that remote work is consistent with the work patterns and requirements of their team's management and client obligations. Subject to business needs, employees may be required to perform work or attend meetings on-site at a client or Neudesic location. Phishing Scam Notice Please be aware of phishing scams involving fraudulent career recruiting and fictitious job postings; visit our Phishing Scams page to learn more. Neudesic is an Equal Opportunity Employer All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Neudesic is an IBM subsidiary which has been acquired by IBM and will be integrated into the IBM organization. Neudesic will be the hiring entity. By proceeding with this application, you understand that Neudesic will share your personal information with other IBM companies involved in your recruitment process, wherever these are located. More Information on how IBM protects your personal information, including the safeguards in case of cross-border data transfer, are available here: ***************************************************

Everest Clinical Research (“Everest”) is a full-service contract research organization (CRO) providing a broad range of expertise-based clinical research services to worldwide pharmaceutical, biotechnology, and medical device industries. We serve some of the best-known companies and work with many of the most advanced drugs, biologics, and medical devices in development today. Everest has been an independent CRO since 2004 with a strong foundation as a statistical and data management center of excellence. Building on this foundation, Everest has successfully developed and established itself as a full-service CRO. Everest's headquarters are located in Markham (Greater Toronto Area), Ontario, Canada with additional sites in Bridgewater (Greater New York City Area), New Jersey, USA, Shanghai (Pudong Zhangjiang New District), China and Taipei, Taiwan. Everest is known in the industry for its high quality deliverables, superior customer service, and flexibility in meeting clients' needs. A dynamic organization with an entrepreneurial origin, Everest continues to experience exceptional growth and great success. Quality is our backbone, customer-focus is our tradition, flexibility is our strength…that's us…that's Everest. To drive continued success in this exciting clinical research field, we are seeking committed, skilled, and customer-focused individuals to join our winning team as Principal Biostatisticians for our Bridgewater, New Jersey, USA on-site location, or remotely from a home-based office anywhere in the USA in accordance with our Work from Home policy. Key Accountabilities: Work with a leader of the Statistical Operations management team to manage clinical trial programs/projects from one or multiple clients. Provide day to day technical and operational leadership to project teams supporting these programs/projects. Provide statistical oversight on projects in the assigned drug development programs/projects, ensuring sound statistical methodologies in study design, sample size estimation, statistical analysis planning, statistical modeling, data handling, analysis, and reporting. Coach, mentor, develop, and provide technical review, advice and expertise to less experienced Biostatisticians as well as Statistical Programmers assigned to the program/projects. Provide statistical input in protocol design and development. Participate in the writing of trial protocols and research proposals. Serve as a primary biostatistician, working effectively with interdisciplinary teams to contribute strategically (through innovative ideas or applications) to drug development and commercialization at the study and drug compound/therapeutic areas levels. Review and provide input to clinical data management deliverables, including but are not limited to the following: eCRFs, eCRF Completion Instructions, data validation specifications, Data Review Plan (and the ongoing data review tables, listings, and figures in accordance with the Plan), and Data Management Plan. Write Statistical Analysis Plans, Statistical Reports, and statistical methodologies sections of Clinical Study Reports. Perform peer review of SAPs and other technical documents written by others. Perform hands on statistical analysis and modeling, and maintains expertise in state-of-the-art statistical methodology and regulatory requirements. Validate core statistical tables, listings, and figures programmed by statistical programmers and/or biostatisticians, ensuring that core results for each responsible trial are complete and accurate. Perform overall Quality Control review on statistical deliverables before they are released to the clients. Review and confirm ADaM dataset specifications. Perform quality control activities on ADaM datasets programmed by other statistical programmers and biostatisticians. Provide statistical consultation to medical and clinical trial personnel for the publication of trial results, and participate in the writing of abstracts, manuscripts, posters, and presentations. Ensure all study level as well as drug program level statistical and programming activities are conducted in compliance with relevant regulatory requirements and applicable standards/conventions. Interact with regulatory agencies and support sponsor in new drug application. This includes participating as a statistical liaison to the regulatory agency on behalf of the sponsor company and ensuring documentation, statistical results, and study datasets meet the regulatory agency's requirement/expectation (e.g., CDISC). Perform statistical and programming resource management, capacity analysis, benchmarking and metrics. Participate in the continuous improvement and maintenance of statistical and programming governing documents. Contribute to organization development and growth by participating in the interview and evaluation process for professional applicants. Qualifications and Experience: A Ph.D. degree in statistical science, mathematical analysis or related fields with at least 7 years of relevant experience or a Master's degree in these fields with at least 10 years of relevant experience, with demonstrated exceptional ability and performance. To find out more about Everest Clinical Research and to review other opportunities, please visit our website at ***************** Estimated Salary Range: $140,000 - $175,000. We thank all interested applicants, however, only those selected for an interview will be contacted. Everest is committed to upholding the principles of dignity, independence, integration, and equal opportunity. We welcome and encourage applications from people with disabilities, and upon request we will provide accommodations for candidates participating in any part of our recruitment and selection process. #LI-Remote #LI-TK1 #INDHP

The Principal Biostatistician provides statistical input into Phase I - IV clinical trial development, performs the analysis of clinical trial data, and provides statistical input into the reporting of clinical trial results. The Principal Biostatistician can work independently and function as a lead statistician on clinical trials. Make an Impact at Veristat! Join a global team with more than 30 years of expertise accelerating life-changing therapies to patients worldwide. 105+ approved therapies for marketing applications prepared by Veristat 480+ oncology projects in the past 5 years 350+ rare disease projects delivered in the past 5 years Flexible, inclusive culture - 70% remote workforce, 66% women-led teams Learn more about our core values here! What we offer: Benefits vary by location and may include: Remote working Flexible time off Paid holidays Medical insurance Tuition reimbursement Retirement plans What we look for: • PhD degree in Statistics, Biostatistics, or related field, and 5 years of biostatistical experience in the clinical trials or health research environment OR a Master's degree in Statistics, Biostatistics, or related field, and 8 years of biostatistical experience in the clinical trials or health research environment. • Excellent written and oral communication skills including grammatical/technical writing skills and familiarity with moderately complex statistical methods that apply to Phase IIV clinical trials are required. • Familiarity with SAS, SPSS or other statistical software package. • Proficiency in Microsoft Word and Excel. • Strong level of detail orientation. • Ability to work on multiple tasks under tight timelines. Automated Decision Making: All applicants are reviewed by a member of the Veristat Talent Acquisition team; Veristat does not utilize an automated decision-making process. #LI-SI1 Veristat is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

When our values align, there's no limit to what we can achieve. At Parexel, we all share the same goal - to improve the world's health. From clinical trials to regulatory, consulting, and market access, every clinical development solution we provide is underpinned by something special - a deep conviction in what we do. Each of us, no matter what we do at Parexel, contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally, we do it with empathy and we're committed to making a difference. Parexel is hiring a Principal Biostatistician to work remotely. The Principal Biostatistician works independently on all level complexity clinical trial projects, often with major regulatory impact. The person will be recognized internally and externally as a statistical expert. Location: United States - Remote Key Accountabilities: Operational Execution Provide broad statistical support, including trial design, protocol and CRF development on specific studies Lead production and quality control of randomization, analysis plans, statistical reports, statistical sections of integrated clinical reports and other process supporting documents Perform sample-size calculations, generate randomization lists and write statistical methodology sections for inclusion in study protocols Provide statistical input into Data Monitoring Committee (DMC) activities, including development of DMC charters and analysis plans Provide a supporting role as a non-voting independent statistician providing data and analysis for DMC review Business Development Support of Business Development, by actively contributing to study design considerations in internal and client meetings, providing and discussing sample size scenarios, support of budget and proposal development, attending and preparing bid defense meetings General Activities Understand regulatory requirements related to the specific therapeutic areas and the implications for statistical processing and analysis Understand, apply and provide training in extremely advanced and sometimes novel statistical methods Contribute to the development and delivery of internal and external statistical training seminars and courses Review position papers based on current good statistical practice Interact with clients and regulatory authorities Review publications and clinical study reports Travel to, attend, and actively contribute to all kind of client meetings as appropriate (e.g. discussing analysis concepts, presenting and discussing study results) Additional responsibilities as defined by supervisor/manager. Skills: Good analytical skills Good project management skills Professional attitude Attention to detail Thorough understanding of statistical issues in clinical trials Ability to clearly describe advanced statistical techniques and interpret results Familiarity with regulatory/research guidelines on drug development, GCP, and statistical principles (especially ICH guidelines) Prior experience with SAS programming required Ability to work independently Good mentoring/leadership skills Good business awareness/ business development Knowledge and Experience: PhD or MS in Statistics or related discipline with substantial experience The knowledge of pharmacokinetic data is an advantage Competent in written and oral English in addition to local language Education: PhD in Statistics or related discipline, MS in Statistics or related discipline EEO Disclaimer Parexel is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to legally protected status, which in the US includes race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

As an experienced Principal Biostatistician in our sponsor-dedicated Flexible Solutions business unit, you are central to the successful delivery of complex clinical trials for renowned, innovative and global top pharmaceutical and biotech companies. In this role you will develop and review Statistical Analysis Plans for data presentation, analyses, and provide programming support to your multidisciplinary global project team. About the team You will be part of a long-lasting partnership with one of our top sponsors (a 10-years relationship) for which we pride ourselves on being the preferred provider. In this team, you will work with over 150 people globally, all with great experience and ready to support you at any given time since we work globally from the US to APAC. What else can you expect from us? Rewarding and meaningful work in an established, diverse, highly profitable and respected global company Highly competitive compensation packages, including various local benefits such as pension contributions, complimentary health insurance plans, remote working allowances etc. A genuine work life balance Flexibility in working hours A thorough onboarding with support from your personal mentor Excellent training and career development opportunities, as well as support with advancing your individual education Strong support from your Fortrea Line Manager and your team, as well as from more than 19,000 colleagues worldwide Your responsibilities: Lead complex studies such as New Drug Applications submissions or complex, multi-protocol programs, potentially coordinating activities across multiple locations, providing statistical oversight and attending relevant project meetings Perform project management activities for identified projects including resource planning, timelines and milestone management Serve as Data Monitoring Committee Support Statistician, developing DMC Charters and attending DMC Meetings, under direction of Statistical Consultants Lead the development of complex Statistical Analysis Plans, perform senior review of statistical analysis plans developed by other statisticians Conduct overall statistical review of Tables Figures and Listings for complex studies prior to client delivery Review Case Report Form and other study specific specifications and plans Develop the statistical sections of the protocol for complex studies under the supervision of a statistical consultant Preparation and review of randomization specifications and generation of randomization schedules Provide mentoring and training to less experienced staff; provide direction and review work of departmental employees to ensure accuracy and adherence to pertinent departmental policies, practices, and procedures Present and share knowledge at monthly seminars and/or team meetings and at external scientific meetings and conferences Attend bid defense meetings for complex studies Act as Subject Matter Expert and develop or review procedural documents, or work on new initiatives Represent the department during audits. Your profile: Degree in a relevant field such as statistics, biostatistics, public health, etc. Masters degree strongly preferred. Solid experience (10+ years) of working as a Lead Biostatistician in either a biotech, CRO or pharmaceutical company Ability to program in one or more statistical software packages (SAS ) used to conduct statistical analyses; SAS proficiency including use of a variety of statistical procedures e.g., non-parametric analysis, linear and non-linear models, categorical data and survival analysis Proven professional experience with SDTMs, ADaM datasets and TFLs Proven ability to effectively communicate statistical concepts A good knowledge of the overall clinical trial process Competence in the preparation of Statistical Analysis Plans, analysis, reporting, etc. across a variety of trials Strong organizational skills, an autonomous and collaborative work style, a curious mind and a keen attention to detail Business fluency in English - both verbal and written - is a must Physical Demands/Work Environment: Work Environment: Work is performed in an office environment with exposure to electrical office equipment. Occasional drives to site locations with occasional travel both domestic and international. Physical Requirements: Frequently stationary for 6-8 hours per day. Repetitive hand movement of both hands with the ability to make fast, simple, repeated movements of the fingers, hands, and wrists. Occasional crouching, stooping, with frequent bending and twisting of upper body and neck. Ability to access and use a variety of computer software developed both in-house and off-the-shelf. Light to moderate lifting and carrying (or otherwise moves) objects including luggage and laptop computer with a maximum lift of 15-20 lbs. Regular and consistent attendance. Varied hours may be required. Pay Range: $130,000-$150,000 USD base annual salary (US Candidates only) Benefits: All job offers will be based on a candidate's skills and prior relevant experience, applicable degrees/certifications, as well as internal equity and market data. Regular, full-time or part-time employees working 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(K), ESPP, Paid time off (PTO) or Flexible time off (FTO), Company bonus where applicable. The application deadline is December 15, 2025. #LI-REMOTE #LI-LL1 Learn more about our EEO & Accommodations request here.

Job Details Main Corporate Office - Malvern, PADescription Job Purpose: The Principal Biostatistician is a key member of Ocugen's clinical development team. This individual will be responsible for providing statistical services including analysis, interpretation, design, and reporting or communication of data evidence for research, development, and/or marketed product. The individual should be able to ensure application of appropriate statistical methods given the hypothesis and available data through programming in SAS, or R. This individual will work closely with the Director of Biostatistics, the rest of the team at Ocugen, and CROs to execute the statistical and data needs of the clinical studies. Duties and Responsibilities: Collaborates on implementation and analysis of statistical aspects of research protocols. Provides statistical consultation for clinical programs. Performs sample size and power calculations, and provides input on Study Protocols. Develops statistical analysis plans, including detailed textual description of planned analysis and mock-ups of data displays. Assists in development of CRFs, programming specifications, and additional study documents related to data flow and analyses. Performs statistical analyses, including hypothesis testing and modeling. Provides tabular and written summaries of analyses and statistical methodology. Reviews and provides comments on statistical summaries. Interface with CRO ensuring data and statistical reporting is secure and timely. Provides input to project timelines, and ensures that project timelines for biostatistics deliverables are met. Ensures that project tasks are completed with acceptable quality. Attends team meetings and represents departmental needs for assigned projects. Participate in study and department meetings. May assist in developing policies and procedures (SOPs). Additional tasks and projects as requested. Qualifications MS/MA degree in Biostatistics. 5+ years of research experience working as Biostatistician, or Statistical Programmer Ability to synthesize results in graphic, oral, and written reports Exceptionally strong statistical programming in SAS Experience programming in other languages, such as R, SQL, Matlab Strong knowledge of GCPs, ICH, FDA, and CDISC regulatory requirements governing clinical studies Demonstrated attention to detail and outstanding organization skills Self-motivated with a commitment to high quality, on-time deliverables Excellent communication and collaboration skills with a team-oriented approach Demonstrated ability to identify and resolve issues and effectively manage timelines Working Conditions: This position operates in an office setting, in person. Remote work will be limited. Job may additionally require incumbent to be available outside of these hours to handle priority business needs. Physical Requirements: This is a largely sedentary role. Ocugen is an equal opportunity employer. In order to provide equal employment and advancement opportunities to all individuals, we make all of our employment decisions based upon merit, qualifications, abilities, and an individual's conduct and performance. We will not make any of our decisions, and will not discriminate against any employee or applicant, on the basis of race, color, religion, creed, national origin or ancestry, ethnicity, sex (including pregnancy), gender (including sexual orientation, gender identity and status as a transgender or transsexual individual), age, physical or mental disability, citizenship, past, current or prospective service in the uniformed services, genetic information, or any other characteristic protected from discrimination under the law. Ocugen complies with applicable federal, state and local laws governing nondiscrimination in employment.

The Data Modeler III is responsible for leading efforts that involve working closely with the business to define, document, and apply business rules to enterprise data. Essential Functions: Responsible for defining business data requirements and creating logical and physical data models Assist in the design and development of data standards, policies, procedures, and metadata to ensure accuracy, quality, integrity, and optimization of this data Develop enterprise data policies and standards and monitor adherence to these standards Guide, mentor, and instruct more junior staff members regarding enterprise data management practices Ensure the quality of data submitted to regulatory agencies by developing detailed metadata for submissions Design data models for reporting and analytic databases that translate business and regulatory rules and definitions into queryable data structures Perform analysis and research to inform end-to-end data warehouse & data integration capabilities Develop expertise on one or more insurer-specific data domains, such as claims, care management (CM), utilization management (UM), eligibility, accounting / finance, and population health Design data models for development of new transactional systems Design data models for development of a data warehouse and data marts Reverse engineer data models for existing databases and systems Work with data analysts to identify data issues within the organization and assist in the development plans to resolve data issues Develop and maintain detailed documentation that provides traceability for all enterprise data back to its source Actively participate in projects designed to create record of reference systems for key enterprise data Define and adhere to standard metadata naming conventions. Develop and maintain Enterprise Data Model Perform any other job duties as requested Education and Experience: Bachelor's Degree or equivalent years of relevant work experience required Minimum of eight (8) years of experience in data modeling (conceptual, logical and physical) required Minimum of three (3) years of experience with the administration of data and/or experience as a data architect preferred Experience in application database development and data warehouse development required Experience with Cloud hosted and Data Lakehouse solutions is preferred Advanced SQL and / or Python experience (including data modeling, profiling and cleansing, and building complex data sets) is required A minimum of two (2) years of healthcare experience is required Military affiliation or TRICARE experience is preferred. Competencies, Knowledge and Skills: Expert knowledge of data normalization and de-normalization Expert knowledge of data mapping and data dictionaries Erwin data modeling software Proven ability creating complex data models with applied understanding data modeling and transformation techniques Relational & Dimensional database modeling concepts and practices Proven ability to write complex SQL queries and/or python code Experience with Azure Databricks, SparkSQL, and Azure Data Factory Proficient working with transforming and warehousing data from multiple sources, such as operational data stores (ODS), flat file, EDI/HL7, API, etc. Communication skills both written and verbal Ability to work independently and within a team environment Critical listening and thinking skills Decision making/problem solving skills Excellent customer service skills Licensure and Certification: None Working Conditions: General office environment; may be required to sit or stand for extended periods of time Compensation Range: $92,300.00 - $161,600.00 CareSource takes into consideration a combination of a candidate's education, training, and experience as well as the position's scope and complexity, the discretion and latitude required for the role, and other external and internal data when establishing a salary level. In addition to base compensation, you may qualify for a bonus tied to company and individual performance. We are highly invested in every employee's total well-being and offer a substantial and comprehensive total rewards package. Compensation Type (hourly/salary): Salary Organization Level Competencies Fostering a Collaborative Workplace Culture Cultivate Partnerships Develop Self and Others Drive Execution Influence Others Pursue Personal Excellence Understand the Business This is not all inclusive. CareSource reserves the right to amend this job description at any time. CareSource is an Equal Opportunity Employer. We are dedicated to fostering an environment of belonging that welcomes and supports individuals of all backgrounds.#LI-GM1

A global law firm with nearly 1,400 lawyers and more than 3,000 employees across 19 offices in the United States, Europe, and Asia is looking to build out a data lake to encompass both internal and external data. The role is a long-term contract and is remote. The firm is widely recognized for its expertise in corporate law, litigation, intellectual property, life sciences, technology, and venture capital, advising on transformative deals, IPOs, and complex regulatory matters. The firm has earned numerous workplace accolades, including being named to Fortune's Best Companies to Work For and receiving honors such as Best Workplaces for Women, Best Workplaces for Flexibility, Best Workplaces for Giving Back, and Best Workplaces for Parents. The firm is looking to hire a MDM Architect & Data Modeler to join their team building this greenfield data lake responsible designing and implementing the enterprise Master Data Management (MDM) architecture. The MDM Architect's primary responsibility will be to ensure the architecture has a seamless integration with the Lakehouse platform, APIs, and workflows. Build canonical models for master entities, define hierarchies, relationships, and attributes, and manage the MDM tool for optimal performance and compliance with enterprise standards. Key Responsibilities MDM Architecture Design -Develop scalable MDM architecture integrated with Lakehouse and enterprise systems. -Define API strategies and workflow orchestration for data mastering processes. -Knowledge of Lakehouse architectures and integration patterns. Data Modeling -Create canonical models for master entities (e.g., customer, product, supplier). -Define hierarchies, attributes, and relationships for MDM domains. Tool Management -Configure, upgrade, and optimize MDM tools (Ataccama or Informatica). -Monitor performance and ensure high availability and compliance. Governance & Standards -Align MDM architecture with enterprise security, compliance, and governance policies. -Implement data quality and stewardship processes. Collaboration -Work closely with Data Architects (e.g., Silver Data Vault layer) and engineering teams to ensure consistency across data platforms. Compensation: $60/hr to $73/hr. Exact compensation may vary based on several factors, including location, skills, experience, and education. Employees in this role will enjoy a comprehensive benefits package starting on day one of employment, including options for medical, dental, and vision insurance. Eligibility to enroll in the 401(k) retirement plan begins after 90 days of employment. Additionally, employees in this role will have access to paid sick leave and other paid time off benefits as required under the applicable law of the worksite location. 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 - 3-5+ years in Data Modeling or MDM Architecture - hands-on experience with Data Vault - experience in data modeling for MDM and enterprise data platforms in the cloud - hands-on MDM tool experience with Ataccama (preferred) or Informatica - Knowledge of relational and dimensional modeling, hierarchy design, and attribute management - Understanding of data governance principles and metadata management. -ETL/ELT and Integration experience: Knowledge of ingestion tools like Qlik Replicate and Fivetran; and transformation frameworks such as dbt and Apache Spark. - law firm background - Knowledge of API design, workflow automation, and performance tuning. - Familiarity with Collibra and Unity Catalog for governance and metadata management -Strong grasp of identity and access management (e.g., Entra ID)

NV5 is a provider of engineering and consulting services to public and private sector clients, delivering solutions through six business verticals: Testing, Inspection & Consulting; Infrastructure; Utility Services; Environmental Health Sciences; Buildings & Program Management; and Geospatial Technology. With offices nationwide and abroad, NV5 helps clients plan, design, build, test, certify, and operate projects that improve the communities where we live and work. As engineers, architects, construction/program managers, environmental professionals and beyond, we play a significant role in shaping our communities through the services we provide. We are looking for passionate, driven individuals to join our team focused on Delivering Solutions and Improving Lives. Whether you call it “radiation safety,” “radiation protection” or “rad con,” we are internationally recognized experts in the niche technical field of health physics and have supported thousands of ionizing and non-ionizing radiation-related projects since 1994. NV5 has the expertise and experience to quickly understand your issues, develop practical approaches, and implement cost-effective solutions. Federal agencies, government contractors, commercial customers, and academic and professional organizations rely on NV5 for a wide range of needs, and we lend our expertise however and wherever it is needed. We are seeking a Statistician/Health Physicist for our dynamic team. In this role, you will work closely with your team to provide statistical and historical data on radiation and radioactive materials to both technical and non-technical stakeholders. Please note: This role is remote and requires the selected candidate to be a U.S. citizen. Responsibilities Provide support to a group of health physicists and statisticians who are reconstructing historical exposures of workers to radiation and radioactive materials in the workplace Analysis of environmental and occupational radiation exposure data Analysis of left-censored data Data mining from historical exposure records Qualifications Master's degree in statistics (or related field) or Bachelor's degree in statistics (or related field) 3 years of experience Ability to think critically and problem solve Ability to communicate (written and verbal) technical concepts clearly and effectively with statisticians and non-statisticians Programming experience (R preferred) Please be aware that some of our positions may require the ability to obtain a D.O.E. credential that may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. DESIRED SKILLS Experience in health physics and/or environmental monitoring Experience with U.S. Department of Energy (DOE), U.S. Atomic Energy Commission (AEC), and U.S. Energy Research and Development Administration (ERDA) records systems. Knowledge of internal and external radiation exposure monitoring The pay range for this position is $80,000 to $110,000 per year. Base pay offered may be higher or lower depending on job-related knowledge, skills, experience, and location of the candidate. Restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. All local employment laws apply. Base pay information is based on market location. Applicants should apply via the NV5 careers site. NV5 offers a competitive compensation and benefits package including medical, dental, life insurance, PTO, 401(k) and professional development/advancement opportunities. NV5 provides equal employment opportunities (EEO) to all applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. NV5 complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. #INDHP

Type of Requisition: Pipeline Clearance Level Must Currently Possess: None Clearance Level Must Be Able to Obtain: None Public Trust/Other Required: MBI (T2) Job Family: Data Science and Data Engineering Job Qualifications: Skills: Data Modeling Software, Data Modeling Tools, Data Model Testing Certifications: None Experience: 8 + years of related experience US Citizenship Required: No Job Description: Seize your opportunity to make a personal impact as a Data Modeler supporting the United States Postal Service. GDIT is your place to make meaningful contributions to challenging projects and grow a rewarding career. At GDIT, people are our differentiator. As a Data Modeler, you will help ensure today is safe and tomorrow is smarter. Our work depends on Data Modeler joining our team to design, construct, and maintain complex databases and systems in support of the USPS Information Technology. HOW A DATA MODELER WILL MAKE AN IMPACT Design and Develop: Create and manage conceptual, logical, and physical data models for large-scale business applications and data warehouses. Collaborate: Work closely with data architects, product owners, data engineers, and business stakeholders to align data models with business needs and ensure efficient data usage. Analyze and Map: Perform data analysis, data profiling, and source-to-target data mapping to understand data flows and develop transformation rules. Ensure Standards: Document and continuously improve data architecture systems, ensuring compliance with data governance, security, and privacy standards. Support & Troubleshoot: Provide support for existing data models, perform impact analysis, and assist in identifying and resolving data-related issues. WHAT YOU'LL NEED TO SUCCEED: Education: Bachelor's degree; OR in lieu of degree, an additional 4 years of relevant work experience is required Required Experience: 8+ years of minimum relevant experience. 2+ years of professional experience in data modeling or related data management roles. Bachelor's degree in computer science OR 4 additional years of experience in lieu of degree. Required Technical Skills: Expertise in various data modeling techniques and methodologies (e.g., 3NF, dimensional modeling, Data Vault). Proficiency with data modeling tools such as ERwin, PowerDesigner, or similar. Strong knowledge of SQL and experience with relational database management systems (RDBMS) like Oracle, SQL Server, or Snowflake. Experience with ETL/ELT processes and tools (e.g., Informatica, DataStage). Solid analytical, problem-solving, and critical thinking skills. Strong communication and technical documentation writing skills. Experience working in Agile/Scrum development methodologies. Preferred Skills: Experience with NoSQL databases like MongoDB. Familiarity with cloud-based data platforms (e.g., GCP, Azure, AWS, Databricks). Knowledge of AI/ML-enabled data architectures. Security Clearance Level: Must be able to obtain and maintain a Public Trust and successfully pass a thorough Government background screening process requiring the completion of detailed forms and fingerprinting This position has a U.S. residency requirement. The USPS security clearance process requires the selected candidate to have resided in the U.S. (including U.S. Territories) for the last five years as follows: U.S. Citizens cannot have left the U.S. (including U.S. Territories) for longer than 6 months consecutively in the last 3 years (unless they meet certain exceptions). Non-U.S. Citizens cannot have left the U.S. (including U.S. Territories) for longer than 90 days consecutively in the last 3 years. Location: Remote GDIT IS YOUR PLACE: 401K with company match Comprehensive health and wellness packages Internal mobility team dedicated to helping you own your career Professional growth opportunities including paid education and certifications Cutting-edge technology you can learn from Rest and recharge with paid vacation and holidays #DataModeler #zxc726 The likely salary range for this position is $94,676 - $128,092. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Scheduled Weekly Hours: 40 Travel Required: Less than 10% Telecommuting Options: Remote Work Location: Any Location / Remote Additional Work Locations: Total Rewards at GDIT: Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee's date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc. Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Responsibilities: Design and develop robust and scalable data models on the Snowflake platform to support the current and future reporting needs of Workplace Investing. Collaborate closely with business analysts, report developers, and data engineers to understand data requirements and translate them into efficient and effective data models. Develop conceptual, logical, and physical data models, ensuring alignment with best practices and data governance standards. Optimize data models for performance, scalability, and ease of use for Power BI reporting. Participate in data mapping and data lineage activities to ensure data integrity and traceability during the migration process. Contribute to the development and maintenance of data dictionaries and metadata repositories. Identify and resolve data modeling issues and provide recommendations for improvements. Stay abreast of the latest data modeling techniques and technologies relevant to Snowflake and cloud-based data warehousing. Participate in the testing and validation of data models. Provide support and guidance to report developers on data model usage and interpretation. Qualifications: Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. Proven experience 7+Years in data modeling for data warehousing and business intelligence projects. Strong expertise in developing conceptual, logical, and physical data models (e.g., dimensional modeling, relational modeling, star schema, snowflake schema). Hands-on experience working with Snowflake as a data warehousing platform. Familiarity with data integration processes and tools. Understanding of data governance principles and practices. Excellent SQL skills for data querying and analysis. Strong analytical and problem-solving skills with a keen attention to detail. Excellent communication and collaboration skills, with the ability to effectively interact with both technical and business stakeholders. Experience working in an Agile development environment is a plus. Prior experience with Power BI or other data visualization tools is beneficial. Knowledge of financial services or investment management data is a plus. Compensation, Benefits and Duration Minimum Compensation: USD 35,000 Maximum Compensation: USD 123,000 Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role. Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees. This position is not available for independent contractors No applications will be considered if received more than 120 days after the date of this post

At Booking.com we make it easier for everyone to experience the world, and while that world might feel a little farther away right now, we're busy preparing for when the world is ready to travel once more. Across our offices worldwide, we continue to innovate. To solve for some of the most complex challenges in travel and technology, and to plan for the exciting developments that lie ahead. With strategic long-term investments into what we believe the future of travel can be, we are opening up new career opportunities that will have a strong impact on our mission. We are united in the belief that our very human desire to explore the planet's beauty and discover more about other people and cultures will endure. The world is waiting for us. Together, we will be ready. Booking.com core values ● Think customer first ● Succeed together ● Own It ● Learn Forever ● Do the Right Thing About the team The Trips Data Management team at Booking.com looks after data and enhancement for everything but the stay at Booking.com. This includes data platforms, data warehouse, governance, quality, modelling and enrichment enabling teams across the organisation to understand and manage our business performance and improve the experience of our customers. We are looking for a highly experienced and resilient Senior Data Modeller to join our Data Governance & Value team to drive governance strategy, implementing policies and standards, data modelling, and supporting teams to deliver robust, trusted data to our customers. This role will be based in our London office (Monument). About the Role As a senior member of the team, you will be responsible for leading on the development and utilisation of Data Models within the Trips Business Unit through the engagement with internal teams and deliveries. Defining and documenting the As-is and To-be Data Models and supporting the adoption and embedding of Data Modelling capabilities. In this role-you will be seen as the go-to person for all existing and and new requirements. It is also essential that you can act as a bridge between the business and engineering to manage progression from conceptual to physical data models. This is a newly created role reporting into the Principle Data Governance & Value Manager within the Data Management Team for Trips Business Unit of Booking.com with a unique opportunity to define, build and embed robust Data Modelling capabilities. Responsibilities: To successfully deliver change in a fast paced working environment you will need to: ● Responsible for engaging with the business to define and document our As-is and To-be Data Models ● Be visible and engage the wider business areas; Data Science & Analytics, Machine Learning and Product teams, to be the go-to person for all Data Modelling queries ● Communicate with key stakeholders to keep them up to date with the Data Model development process ● Provide regular progress reports against OKRs and KPIs to demonstrate alignment with business objectives and key success factors. ● Define, manage and optimise the Data Model Framework and ensure consideration for the architectural roadmap for Data Marts, AWS and existing and future Data Platforms. ● Support objectives to embed Data Models as part of the overall Data Governance and Value roadmap. ● Curation, maintenance and distribution of Trips Data Models, (Conceptual, Logical and Physical) which can be operationalised within the companies workflows and infrastructure to ensure data solutions meet business requirements and consumers can derive value from our data. ● Define and ensure adoption of standardised data modelling and architecture capabilities. ● Identify opportunities to improve efficiency through mapping data flows between systems and workflows across the company. ● Implement processes to manage changes in data and adoption of new data solutions. ● Support the identification and establishment of Data Owners. Your skills and experience: ● Experience in implementing or actively participating in a company-wide data governance program. ● Have strong technical ability, experience of implementing data solutions ● Solid understanding of the needs of consumers and how to deliver and measure value in data solutions ● Have great organisational and communication skills and be able to communicate with the business at all levels and across disciplines - data specific, technical and non-technical ● Rich experience of data architecture and modelling and improving how data is consumed ● Strong knowledge of data modelling methods (Relational, Dimensional) ● Strong knowledge of data and enterprise architecture, e.g. TOGAF ● Intermediate knowledge of Data Management & Governance requirements based on best practices, e.g. DAMA-DMBOK, DCAM ● Intermediate knowledge of one or more database querying languages or scripting tools. e.g. SQL, VBA ● Proficient in working within an Agile product-based organisation Desirable Skills: ● Experience of data lineage/catalogue tools e.g. Collibra, Informatica ● Experience delivering Cloud Data Platforms, migrations and integration ● Understanding of analytical tools to improve performance ● Deep understanding of e-commerce and travel business models Benefits: ● 25 vacation days (rising to 28) to go exploring, plus the option to buy/sell up to 3 days each year ● Generous accommodation discount, so you can explore for less ● Bonus package ● Pension with up to 10% matched company contribution ● Huge learning and development platform tailored to you ● Shopping and leisure discounts through Perkbox ● Interest free travel loans/discounted car parking ● Competitive maternity/paternity/adoption leave ● Flexible working, including working from home ● Wellbeing focus, with weekly onsite yoga, outdoor terrace, games room and massage chair ● Mental health first-aiders and free face-to-face support

Remote Data Modeling needs 3 years of relevant UAS, GIS, modeling, application design, or other quantitative industry experience Remote Data Modeling requires: Preferable Woburn, MA A minimum of 3 years of relevant UAS, GIS, modeling, application design, or other quantitative industry experience required. A minimum of 5 years of professional work experience required. Experience transferring data from 3D modeling software or comparable relevant projects required. Experience with point cloud manipulation, CAD, third-party GIS, or photogrammetry software required. Experience with remote sensing, oblique imagery, LIDAR, or 3D point clouds preferred. UAS knowledge and capture from motion experience preferred. Photogrammetry and professional surveyor certificates preferred. Remote Data Modeling duties: Deliver cost effective, accurate, photo-realistic, interactive models of the Companys U.S. assets. Lead team projects to develop analysis automation and UIs for employees/customers. Work with IT, Shared Services and cross functional teams to identify, develop and project manage system integrations to ensure program delivers an integrated solution. Partner with business leaders and customers to identify opportunities for data; determine scopes, evaluate requirements, manage implementations, and monitor quality during and post-production. Develop customer-facing data that can be generated using standard data collection and processing techniques. Collaborate with the Manager, Operations to ensure collected data meet processing and analysis requirements; build quality and production metrics and ensure requirements are scalable.

At Distru, we're always looking to connect with smart, motivated people who are passionate about shaping the future of the cannabis supply chain. Even if you don't see an open role that fits your background today, we'd still love to hear from you. By joining our general application pool, you'll be on our radar for future openings - and if we come across a unique opportunity or see a strong fit, we may reach out even before a role is officially posted. We believe the right person can help shape the role as much as the role shapes them, so if you're excited about what we're building, we'd love to explore the possibilities together. ##LI-DNI

The Role We welcome applications from passionate candidates who may not already fit an existing role. Our roles are often flexible. If you don't fit all the criteria, or are in another location (especially one where we have an office like SF of NY) please apply anyway! We'd love to consider you. Join the team bringing advanced autonomy to the built world At Bedrock, we've assembled one of the most experienced autonomous technology teams in the industry, with deep expertise scaling breakthroughs across transportation, infrastructure, and enterprise software. Our leaders helped put the first self-driving cars on public roads at Waymo, scaled systems for Segment's $3.2B acquisition, and grew Uber Freight to $5B in revenue. While others debate the future of AI, we're deploying it in the real world. Our systems are already installed on heavy machines across the country, learning on real construction sites and working to reshape the earth with survey-grade precision and exceptional safety. This isn't a simulation-it's autonomous intelligence working on billion-dollar infrastructure projects. In just over a year, we've raised $80M, put our equipment into the field, and established partnerships with forward-thinking contractors who are integrating our technology into their operations. We're working quickly to close the gap between America's surging demand for housing, data centers, manufacturing hubs, and the construction industry's growing labor shortage. Here, algorithms meet steel-toed boots. You'll collaborate with both construction veterans and experienced engineers, tackling problems where your work directly impacts how the physical world get built. If you're interested in applying cutting-edge technology to solve meaningful problems alongside a talented team-we'd love to have you join us.

At IMO Health, Semantic Data Modelers are key members of our ontology-driven graph engineering team, helping to build and maintain a virtualized, intelligent, and scalable medical terminology platform. Your work will empower over 740,000 clinicians by enhancing how healthcare data is structured, delivered, and understood. We are seeking an experienced Semantic Data Modeler to join our team, focusing on the development and application of Knowledge Graphs integrated with Data Science and Natural Language Processing (NLP) workflows. In this critical role, you will contribute to the design and implementation of semantic models, bridging the gap between raw data sources and actionable clinical insights. You will utilize your skills in NLP and data analysis to enrich our knowledge graph, ensuring high data quality and accessibility for semantic enrichment and clinical interoperability initiatives. This position requires strong technical proficiency and exceptional collaboration skills, working closely with staff semantic engineers, clinicians, and content teams. WHAT YOU'LL DO: Semantic Model Design: Contribute to the design, development, and iterative refinement of complex semantic data models, with a focus on ontologies, knowledge graphs, and property graphs. Requirement Translation: Assist senior team members in translating intricate, cross-functional business needs into formal, scalable knowledge graph structures, ensuring tight alignment with the enterprise data strategy. Governance and Standards: Document semantic assets, including detailed entity definitions, relationship types, axioms, constraints, and data lineage, ensuring adherence to established best practices and fostering consistency across the organization. Graph Data Analysis & Feature Engineering: Utilize data science methodologies and Python scripting to conduct exploratory data analysis (EDA) on graph structure, identify data patterns, perform feature engineering, and support advanced analytics based on the knowledge graph. Data-Driven NLP Integration: Apply Natural Language Processing (NLP) techniques and tooling to unstructured clinical text and data streams to identify, extract, and map new entities, attributes, and relationships directly into the semantic models, effectively structuring raw data for machine learning consumption. Robust Data Quality: Implement and maintain data quality frameworks, validation rules (e.g., using SHACL), and transformation logic within the semantic layer to ensure the accuracy, reliability, and consistency of the knowledge graph. Cross-Functional Partnership: Partner closely with Staff semantic engineers, clinicians, content teams, and business leaders to understand domain knowledge and requirements, and ensure semantic solutions effectively meet organizational objectives. Research & Evaluation: Assist in researching, evaluating, and utilizing new technologies, methodologies, and best practices in semantic modeling, knowledge graph technologies, and NLP to drive continuous process improvement. Knowledge Sharing: Proactively share technical expertise and knowledge with peers and cross-functional teams. WHAT YOU'LL NEED: BA/BS in a STEM field (e.g., Computer Science, Data Science, Bioinformatics) with 3-5 years of hands-on work experience in data modeling or data engineering. Proven hands-on experience in semantic modeling concepts (ontologies, knowledge graphs, property graphs). Expertise in Python for data manipulation, analysis, and pipeline development, including libraries like Pandas/NumPy. Strong understanding of statistical and machine learning concepts (e.g., classification, clustering, regression) and their application to graph-based data. Demonstrated experience with NLP technologies and libraries (e.g., NLTK, spa Cy, Gensim, Hugging Face) for text extraction, named entity recognition, or relationship extraction. Strong working knowledge of graph database platforms (e.g., Amazon Neptune, Neo4j, etc.) and graph query languages (e.g., SPARQL or Gremlin). Familiarity with semantic web standards like OWL, RDFS, and SHACL. Experience with relational databases (SQL) and general data warehousing concepts. Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders. Experience in an Agile/Scrum environment, iteratively developing and deploying data solutions. NICE TO HAVE: Practical experience with AWS data services (e.g., Glue, Sagemaker) and ETL/ELT methodologies. Understanding healthcare ontologies and standards like SNOMED-CT, LOINC, RxNorm, and ICD-10.

Job Description Be Part of a Dynamic Data-Driven Team This opportunity is with a leading organization in the banking sector, driving digital transformation through modern data architecture and advanced analytics. The team champions innovation and collaboration, working across enterprise data domains to enable smarter, faster decision-making. The environment emphasizes high-quality data delivery, compliance, and continuous improvement through cutting-edge technologies like GCP and BigQuery. What's In Store for You 100% remote opportunity in a data-first organization. Work with a skilled team of engineers and architects advancing cloud-based analytics in retail banking. Gain hands-on experience with modern data tools and frameworks, building solutions that directly support financial insights and customer intelligence initiatives. How You Will Make an Impact Design and implement scalable relational and dimensional data models for enterprise analytics. Build optimized data models to streamline data ingestion and transformation workflows. Collaborate with engineers and stakeholders to design efficient, compliant, and well-documented data solutions. Conduct data profiling and ensure governance, lineage, and quality across enterprise data assets. Manage structured and semi-structured data formats, including JSON and complex nested types. Support product managers in designing data products that deliver actionable insights. Are You a Proven Data Modeling Professional? Here's what you'll need to bring to the table: Bachelor's or Master's degree in Computer Science, Data Engineering, or related field. 5+ years of experience in data modeling, data architecture, or data governance. Advanced expertise in GCP, BigQuery, SQL, and Python. Strong understanding of normalization, dimensional modeling, and data warehousing. Experience handling structured and semi-structured data (JSON, Structs). Familiarity with ERwin, Wherescape, or ER/Studio. Knowledge of retail banking or credit card data domains and compliance standards. Excellent communication, documentation, and collaboration skills. Preferred Qualifications: GCP Professional Data Engineer or Architect certification Knowledge of data governance frameworks and metadata management Familiarity with data mesh principles

USM Business Systems Inc. is a quickly developing worldwide System Integrator, Software and Product Development, IT Outsourcing and Technology assistance supplier headquartered in Chantilly, VA with off-shore delivery centers in India. We offer world-class ability in giving most astounding quality and administrations through industry best practices planned to convey remarkable worth to our customers. Utilizing our industry knowledge, administration service offering expertise and innovation abilities, we distinguish new business and innovation slants and create answers for help customers around the globe, giving top of the line solid and practical IT benefits which are cost effective services. Established in 1999, the organization has corner qualities in building and dealing with a Business Oriented IT environment with rich involvement in technology innovation, ERP and CRM counselling, Product Engineering, Business Intelligence, Data Management, SOA, BPM, Data Warehousing, SharePoint Consulting and IT Infrastructure. Our other offerings include modified solutions and administrations in ERP, CRM, Enterprise architecture, offshore advisory services ,e-commerce, Social , Mobile, Cloud, Analytics (SMAC) and DevOps. USM, a US ensured Minority Business Enterprise (MBE) is perceived as one of the fastest developing IT Systems Integrator in the Washington, DC zone. Most as of late, USM was positioned #9 on the rundown of the Top administrations organizations in the DC Metro Area - Washington Business Journal (2011). We are a project-driven firm that reliably meets the IT needs of our State and Government customers through development and business keenness. Job Description EAD, GC, TN and Citizens only Hi Friends, Hope you are doing great, I have an urgent requirement from one of my esteem client, I will appreciate if you can have an eye on the below requirement and send me your consultant updated profile ASAP. Position: Lead Data Modeler Duration - 12 months, long term Location - downtown, Columbus, OH Top Three Skills: 1. Data profiling 2. Source to target Mappings 3. Data Modeling- Logical, Physical, Conceptual 5. SQL experience is also very important- We will be trying to use a tool called Informatica Data Quality to conduct data profiling. If for some reason we run into issues using this tool, we fall back to SQL. 6. LEADERSHIP and COMMUNICATION- This position is viewed as a Director-level role in the organization. Candidates need to be able to effectively and confidently describe and execute on Data Analysis/Modeling strategies for the program. Additional Information Please send your details to ****************************** or call ************

Job Title: Data Analyst / Data Modeler Duration: 12+ Months COMPLETE SKILL MATRIX: Data Analysis Data Modeling - Hybrid, Dimensional and Relational Data Visualization Source to Target Mapping Data Profiling Hadoop plus Responsibilities: Critically evaluates information gathered from multiple sources, reconciles conflicts, classifies the information in logical categories. Uses different visualization techniques and present the results of data exploration exercises. Understands the flow of data, business processes/technical interfaces that would be created or impacted. Documents the source to target mappings for both data integration as well as web services (consumer/provider mappings) that can be easily understood by the project team members with data quality and transformation rules. Identifies and documents sources of existing data as well as the new data. Understands use of master and reference data including sources and contributors. Collaborates with data scientists and business partners and conducts data profiling and predictive analysis using a variety of standard tools. Creates conceptual, logical and physical data models and determines the most appropriate method to represent the data for business consumption. This includes all forms of physical representation of data, such as relational, dimensional, object, key-value (such as column families), and graph. Please note this list is not all inclusive. Have joint accountability with data stewards and data architects on the projects to ensure conformance to enterprise data governance policies around information risk and data protection guidelines. Data analysts should be familiar with common policies around data masking and protection schemes. Data source identification, data profiling, interpretation of patterns and trends, assessment of and improvement of data quality, versatility with visualization tools and techniques to share analysis findings. It is beneficial for individuals to have worked as a data analyst in any of the following types of projects: Analytically Intensive - Intended to draw/develop insights from data that is collected. Operationally Data Intensive - Intended to create authoritative data sources that are essential to core transactional processing. Data Integration Intensive e - Requires the merging of many data types to satisfy business requirements. Required Skills: Data Analysis. Data Modeling - Hybrid, Dimensional and Relational. Data Visualization. Source to Target Mapping. Data Profiling. Hadoop plus. Additional Information