Senior data analyst- jobs in Richmond, VA - 255 jobs

Hi, I hope you are doing good. I have a job opportunity related to your profile with one of our client, please find below Job Description for your review. If you are interested and available for the following position then please send your updated resume in word format along with your contact details to discuss further. Role: Test Analyst - Mortgage Duration: Full TIme Location: Richmond, VA Qualifications Basic • Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. • At least 2 years of experience with Information Technology Preferred • Good knowledge in Empower A software system used by SunTrust Mortgage to manage loan servicing from point-of-sale through post-closing that includes Appraisals, Taxes, Titles and compliance services • Good Knowledge in Windows based workflow, product and Pricing engine, client presentations, web based functionality, reporting and industry standard interfaces. • Good knowledge of Entire Web based Empower Application, Workflows and all the interfaces. • Good knowledge of Agile Process and successful delivery of Sprint release and TFS experience. • Good knowledge of writing System Requirements for configuration and testing processes • Good Knowledge of Testing Methodologies from Test Planning, Test Preparation, Test Data setup and Test Execution processes. • Good Knowledge of Defect Management Process and that includes HP ALM, writing test case, creating test plan, defect logging process and reporting. • Good knowledge of interacting with the Vendors and understanding the Code requirements and Systems analysis as per the new code. • Analytical and Communication skills • Experience and desire to work in a Global delivery environment About Client: A Global IT consulting firm with several large customer engagements across US. It provides strategic business consulting, technology,engineering and outsourcing services to help clients leverage technology and create impactful and measurable business value for every IT investment. About Us: Avance Consulting Services is a global talent acquisition and executive search company. We work exclusively with some of the most reputed and admired clients across various sectors and geographies. This is a very urgent role. Apply NOW with your updated resume in word format Qualifications • Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. Additional Information All your information will be kept confidential according to EEO guidelines.

At Genworth, we empower families to navigate the aging journey with confidence. We are compassionate, experienced allies for those navigating care with guidance, products, and services that meet families where they are. Further, we are the spouses, children, siblings, friends, and neighbors of those that need care-and we bring those experiences with us to work in serving our millions of policyholders each day. We apply that same compassion and empathy as we work with each other and our local communities. Genworth values all perspectives, characteristics, and experiences so that employees can bring their full, authentic selves to work to help each other and our company succeed. We celebrate our diversity and understand that being intentional about inclusion is the only way to create a sense of belonging for all associates. We also invest in the vitality of our local communities through grants from the Genworth Foundation, event sponsorships, and employee volunteerism. Our four values guide our strategy, our decisions, and our interactions: Make it human. We care about the people that make up our customers, colleagues, and communities. Make it about others. We do what's best for our customers and collaborate to drive progress. Make it happen. We work with intention toward a common purpose and forge ways forward together. Make it better. We create fulfilling purpose-driven careers by learning from the world and each other. POSITION TITLE Analytics Data Modeler Lead POSITION LOCATION This position is available to Virginia residents as Richmond or Lynchburg, VA Hybrid in-office applicants or remote applicants residing in states/locations under Eastern or Central Standard Time: Alabama, Arkansas, Connecticut, Delaware, Florida, Georgia, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Nebraska, New Hampshire, New Jersey, New York, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Virginia, Washington DC, Vermont, West Virginia or Wisconsin. This role is not eligible for employment visa sponsorship. YOUR ROLE The Analytics Data Modeler plays a vital role in transforming raw data into meaningful business insights. This professional is responsible for designing, developing, and maintaining robust data models that empower organizations to make informed decisions based on accurate and accessible information. Working at the intersection of business needs, data architecture, and advanced analytics, the Analytics Data Modeler ensures that data flows seamlessly and can be leveraged to derive actionable intelligence. What you will be doing Data Modeling and Design: Develop conceptual, logical, and physical data models for business intelligence, analytics, and reporting solutions. Transform requirements into scalable, flexible, and efficient data structures that can support advanced analytics. Requirement Analysis: Collaborate with business analysts, stakeholders, and subject matter experts to gather and interpret requirements for new data initiatives. Translate business questions into data models that can answer these questions. Data Integration: Work closely with data engineers to integrate data from multiple sources, ensuring consistency, accuracy, and reliability. Map data flows and document relationships between datasets. Database Architecture: Design and optimize database schemas using the medallion architecture which includes relational, star schema and denormalized data sets for BI and ML data consumers. Metadata Management: Team with the data governance team so detailed documentation on data definitions, data lineage, and data quality statistics are available to data consumers. Data Quality Assurance: Establish master data management data modeling so the history of how customer, provider and other party data is consolidated into a single version of the truth. transformation. Collaboration and Communication: Serve as a bridge between technical teams and business units, clearly communicating the value and limitations of various data sources and structures. Continuous Improvement: Stay abreast of emerging trends in data modeling, analytics platforms, and big data technologies. Recommend enhancements to existing data models and approaches. Performance Optimization: Monitor and optimize data models for query performance and scalability. Troubleshoot and resolve performance bottlenecks in collaboration with database administrators. Governance and Compliance: Ensure that data models and processes adhere to regulatory standards and organizational policies regarding privacy, access, and security. What you bring Bachelor's degree in Computer Science, Information Systems, Data Science, Mathematics, or related field. Master's degree preferred. Minimum 3 years of experience in data modeling, data analysis, or database development, preferably in analytics-driven environments. Proficiency in Erwin. Solid understanding of DataBricks Delta tables and Postgres database platforms. Experience with big data technologies and platforms (e.g., DataBricks, Spark, AWS, Azure). Expertise in SQL. Strong analytical, problem-solving, and critical thinking skills. Excellent communication and interpersonal abilities. Experience with data governance, quality frameworks, and metadata management. Knowledge of business intelligence tools (e.g., Power BI, Spotfire). Nice to have Data domain expertise in insurance and/or medical businesses. Knowledge of cloud data management, data lakes, and ETL (Extract, Transform, Load) processes. Ability to work independently and collaboratively in a cross-functional team environment. Strong attention to detail and commitment to data accuracy. Familiarity with Agile methodologies and project management practices. Experience with Python Understanding of industry-specific regulations (GDPR, HIPAA, etc.) Employee Benefits & Well-Being Genworth employees make a difference in people's lives every day. We're committed to making a difference in our employees' lives. Competitive Compensation & Total Rewards Incentives Comprehensive Healthcare Coverage Multiple 401(k) Savings Plan Options Auto Enrollment in Employer-Directed Retirement Account Feature (100% employer-funded!) Generous Paid Time Off - Including 12 Paid Holidays, Volunteer Time Off and Paid Family Leave Disability, Life, and Long Term Care Insurance Tuition Reimbursement, Student Loan Repayment and Training & Certification Support Wellness support including gym membership reimbursement and Employee Assistance Program resources (work/life support, financial & legal management) Caregiver and Mental Health Support Services The base salary pay range for this role starts at a minimum rate of $ 120,000 up to the maximum of $200,000. In addition to your base salary, you will also be eligible to participate in an incentive plan. The incentive plan is based on performance and the target earning opportunity is 15% of your base compensation. The final determination on base pay for this position will be based on multiple factors at the time of this job posting including but not limited to geographic location, experience, and qualifications to ensure pay equity within the organization.

Role : Business Data Analyst Interview Mode: Face to Face Interview followed by Virtual (Video) interview ABOUT THE ROLE The Virginia Retirement System(VRS) Data Office team is seeking one (1) senior Business Data Analyst with strong problem solving, organizational, and communication skills. This role will be expected to collaborate with the Data Office, Business, IT and other stakeholders and play an active role in the Data Quality Enhancement initiative. The individual is expected to be a self-starter who is comfortable prioritizing and effectively managing their daily workload. The role will be involved in enhancing data governance, ensuring data quality, and collaborating with stakeholders across departments to analyze, design and deliver data driven solutions. The ideal candidate has expertise in business data analysis, excels at communicating technical information to non-technical audiences, and ability to leverage tools like SQL, Power BI, and Tableau. Essential Duties and Responsibilities: ·Work effectively with business process owners and data owners to ensure data related business objectives are understood and documented. ·Gather, evaluate and document requirements related to data for new systems or enhancements based on business user input, technical requirements and constraints. ·Manage multiple projects, timelines, and priorities. ·Support individual team members in the data office as well as various business units by designing customizable tabular or visual reports with available tools. Data Analysis ·Develop innovative data strategies for meeting business requirements, including leveraging the capabilities of existing technology tools or acquiring/developing new technology tools. ·Design data-focused automated and manual solutions to solve business problems and achieve business objectives. ·Structure large data sets to find usable information. ·Collaborate with various business and technology teams to collect and analyze data. ·Create reports and visualizations for internal teams and stakeholders. ·Perform assessments, make sound recommendations, and present findings to ensure VRS is procuring or building the most effective value-added solutions. ·Create presentations and reports based on recommendations and findings. ·Prepare reports, flowcharts, diagrams, detailed documentation and other written materials. ·Present findings through various written and verbal communication channels with key users and agency executives. Data Office Support ·Serve as subject matter expert on Data Analytics. ·Act as a liaison between the business teams and IT teams for data related initiatives. ·Participate and assist with the VRS Change Management Process to ensure all activities flow through change management (documentation, test plans, approvals, etc.). ·Manage risk and provide timely status reports and project updates to stakeholders. Provide cross-team support when needed to achieve technical goals, knowledge sharing, ·Agency Performance Outcomes (APOs) and operational measures (OMs). ·Participate in software/hardware security reviews and implements best practices for the Data Office. ·Establish KPIs in coordination with business units to measure the effectiveness of business decisions. ·Perform special projects as assigned. ·Other duties may be assigned. Required Skills and Experience ·Five years' experience working in data analysis, business analysis, data science, data warehousing in Pensions Benefit management, or related industry ·Experience working in an Agile development environment. ·Ability to work independently and as part of a team that includes business and technical stakeholders. ·Excellent problem-solving and analytical skills. ·Strong communication and interpersonal skills. Desired Skills ·Three or more years' experience designing dashboards and reports using BI tools such as, Power BI and/or Tableau. ·Strong SQL skills for querying and analyzing data. ·Knowledge in Excel, DAX, Python. ·Software development background. Education and/or Experience Bachelor's degree from a four-year college or university preferred and 5+ years' experience with technology or data organizations required. An equivalent combination of education and experience may also be considered. This will be a contract position starting with a period of at least 6 months. To be effective, this resource would need to be available within the next 6 weeks. VRS desires to interview proposed individuals before final approval. The individual will follow the VRS Hybrid work schedule including 2 days onsite per week (Tuesday and Wednesday). The individual may also be called to be onsite for critical meetings and data related discussions. Onsite work will be at the VRS central office at 1200 East Main Street, Richmond, Virginia 23219

It's fun to work in a company where people truly BELIEVE in what they're doing! We're committed to bringing passion and customer focus to the business. Day Shift - 7.5 Hours (United States of America) The Data Analyst will collect and aggregate data from providers in collaboration with project teams. She/he will confirm reporting requirements by studying our data warehouses, conferring with management on project leads, will aggregate and gather data from providers, and perform completeness check on reporting data. Will be contacting providers and project teams when data deficiencies are identified. Creates quarterly reports/bi-annual reports.I. Data from Metrics (Projects) II. Data from Process MeasuresIII. Data against Milestones Required Experience: Minimum of 3 years experience in a healthcare environment Experience in a hospital or managed care environment with a focus on claims data analysis, provider contracting or decision support, especially in cost and utilization analysis A working knowledge of industry coding (revenue codes, ICD 9 classifications, CPT codes, etc.) Strong knowledge of SQL, SAS or Microsoft Access programming Minimum level computer skills in a Microsoft Office environment: Advanced Strong skills in Microsoft Excel, other technical skills preferred Strong skills in SAS or SQL programming Strong Internet research capabilities Attention to detail Meditech / NPR / Tableau / Excel Knowledge Preferred Write and communicate effectively Work well independently or as part of a team Be open to pursuing additional training/education as required to meet emerging requirements Manage competing deadlines and multiple projects in a fast-paced environment Perform the essential functions of this job with or without reasonable accommodation Education Requirements: Bachelor's degree required. Business Master's degree a plus Computer/Equipment skills: Strong skills in SAS or SQL programming required Minimum level computer skills in a Microsoft Office environment: Advanced required Strong knowledge of SQL, SAS or Microsoft Access programming required Salary Range: $90,000 - $105,000 Employment Non-Discrimination: Richmond University Medical Center is committed to equality of opportunity in all aspects of employment and provides full and equal employment opportunities to all employees and potential employees without regard to race, color, national origin, religion, gender identity, sex, sexual orientation, pregnancy, childbirth and related medical conditions and needs including lactation accommodations, physical or mental disability, age, immigration or citizenship status, veteran or active military status, genetic information, or any other legally protected status. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Jr. Data Analyst needs 3 years experience Jr. Data Analyst requires: SQL queries Python for automation and orchestration Visualization tools: Tableau / any other will work Customer satisfaction analysis Some understanding of business matrix, creating definitions, SQL Logics. Understands how customers are responding to emails, text msg, push notifications etc. Basis understanding of AB Testing Jr. Data Analyst duties: Supporting Clients platforms (email, push notification, text messages) on websites and mobile apps Responsible for dashboards and reports of data

Sr Data Analyst - (9+ Years Only) MUST HAVE SKILLS: - Python - SQL - Some Tableau/Quick Sites experience - AWS experience - command lines, navigate folders, general ETL process (able to extract, transform, load data) - **Some process/project management experience is highly preferred** - They have a lot of projects going on and it's not possible for Patrick to be in all meetings; he needs someone to be in meetings with the thought process of “what does this mean from a data perspective” or other things needed when Patrick can't be in a meeting - Experience working directly with internal customers Bonus skills: Finance experience

Job Description At Koalafi, we believe in a world where no one has to put an important purchase on hold. That's why we're making it easier for more people to pay for big purchases over time. Retailers across the country rely on us to offer flexible lease-to-own financing to their non-prime consumers, while increasing sales and strengthening customer loyalty. Their 2M+ customers love us because we provide a flexible way for them to make payments and give them an opportunity to improve their credit. Our 200+ Koalafi teammates enjoy inspiring and challenging work that accelerates their careers. Interested in learning more about how we're transforming the financing experience and joining our team? What You'll Do Are you a senior-level data scientist with a passion for building and deploying high-impact fraud or credit risk models? Koalafi is seeking an experienced Data Scientist to lead the development, deployment, and monitoring of machine learning models that sit at the core of our portfolio's profitability. This role requires someone who thrives in an end-to-end environment-designing predictive models, operationalizing them in production, and ensuring they continue to perform in a dynamic market. You will be a key contributor to Koalafi's decisioning ecosystem, owning models that directly influence credit outcomes, fraud mitigation, and the financial performance of the company. Beyond technical expertise, you will bring strong business intuition, enabling you to translate modeling insights into strategic decisions. This position reports to the Manager of Data Science and regularly partners with senior leaders across Risk, Fraud, Analytics, and Technology. Responsibilities Build, deploy, and maintain production-grade credit and fraud models that are foundational to our real-time decisioning platform and essential to portfolio profitability Own the full MLOps lifecycle-from feature engineering, model training, and experiment management to production deployment, performance monitoring, drift detection, and continuous optimization Architect and scale end-to-end ML pipelines, ensuring reliability, reproducibility, and seamless integration with core decisioning services Design robust model monitoring frameworks that enable tracing, profiling, explainability, and rapid root-cause analysis for production incidents or model degradation Partner with data science, risk, and engineering leaders to shape modeling strategy, improve credit policy, and strengthen fraud defenses in response to customer behavior and macroeconomic trends Drive continuous improvement of existing models, incorporating new data sources, advanced techniques, and rigorous validation processes Communicate complex model logic and insights to non-technical stakeholders, clearly linking modeling decisions to business outcomes and strategic priorities About You 5+ years of hands-on experience building and deploying machine learning models, with a strong grasp of the end-to-end modeling lifecycle from feature engineering to validation and productionization 5+ years of professional experience writing performant, maintainable Python code in a collaborative production environment, leveraging core data science libraries like pandas, numpy, xgboost, and scikit-learn 2+ Years of experience working on Credit or Fraud risk models Proficient in SQL for querying, transforming, and analyzing large datasets, and comfortable working across relational databases and cloud-based data platforms Strong understanding of data structures, algorithms, and software engineering principles, and apply them to build robust and scalable data solutions Bachelor's degree in a quantitative or STEM field (e.g., Statistics, Mathematics, Computer Science, Engineering) and demonstrate strong analytical and problem-solving skills in your work Location Requirement: This position requires regular in-person attendance at one of our two office locations (Richmond, VA or Arlington, VA). Candidates must already be located within a commutable distance to either location, as relocation assistance is not available at this time Preferred Qualifications Advanced technical and analytical background, ideally with a Master's or PhD in a quantitative or STEM field, and a strong understanding of probability, statistics, and predictive modeling algorithms (e.g., Boosting, Random Forests, Decision Trees, Bayesian models) Exposure to data and compute platforms such as Snowflake and Databricks Background in financial services or experience working in fast-moving, high-growth environments such as startups Experience with modern ML infrastructure and tooling, including MLOps frameworks (e.g., MLflow, BentoML), CI/CD automation, and model observability, monitoring, and lifecycle management Familiarity with large language models (LLMs) and their deployment in production environments Why choose Koalafi: A career at Koalafi means opportunities to tackle exciting challenges every single day. We take pride in a culture of innovation, trust, and ownership. You'll get outside your comfort zone, build meaningful relationships, and most of all, take charge of projects that ultimately help people get the things they need most. Benefits: At Koalafi, you will have a direct impact on our products and help shape the company's success. We offer competitive compensation & benefits packages to keep you at your best: Comprehensive medical, dental, and vision coverage 20 PTO days + 11 paid holidays 401(k) retirement with company matching Student Loan & Tuition Reimbursement Commuter assistance Parental leave (maternal + paternal) Inclusion and Associate Engagement Programs Who we are & what we value: We focus on what's most important We set clear expectations and deliver We embrace challenges to reach our full potential We ask, "How can this be better?" We move fast together

360 IT Professionals is a Software Development Company based in Fremont, California that offers complete technology services in Mobile development, Web development, Cloud computing and IT staffing. Merging Information Technology skills in all its services and operations, the company caters to its globally positioned clients by providing dynamic feasible IT solutions. 360 IT Professionals work along with its clients to deliver high-performance results, based exclusively on the one of a kind requirement. Our services are vast and we produce software and web products. We specialize in Mobile development, i.e. iPhone and Android apps. We use Objective C and Swift programming languages to create native applications for iPhone, whereas we use Android Code to develop native applications for Android devices. To create applications that work on cross-platforms, we use a number of frameworks such as Titanium, PhoneGap and JQuery mobile. Furthermore, we build web products and offer services such as web designing, layouts, responsive designing, graphic designing, web application development using frameworks based on model view controller architecture and content management system. Our services also extend to the domain of Cloud Computing, where we provide Salesforce CRM to effectively manage one's business and ease out all the operations by giving an easy platform. Apart from this, we also provide IT Staffing services that can help your organization to a great extent as you can hire highly skilled personnel's through us. We make sure that we deliver performance driven products that are optimally developed as per your organization's needs. Take a shot at us for your IT requirements and experience a radical change Job Description Skilled professional to provide expertise in many areas of data management including but not limited to data warehouse reporting , data analysis, data integration, and data warehousing.Provide these services in support of and external agency goals such as program performance, process compliance,data quality, and data governance. Provide expertise with SQL-Server Reporting Services (SSRS), SQL-Server Analytical Services (SSAS), and Tableau.Duties include, but are not limited to: Designs, develops, and delivers SSAS reporting cubes and SSRS reports; provides expert level data and process analyses data for data warehouse and systems integration projects; provides expertise in the use of business intelligence tools such as Microsoft Analysis Services and Microsoft Reporting Services; and works closely with Data Architect and ETL staff to ensure proper design and compliance with database and development standards. Qualifications Extensive experience with applications using both relational and multidimensional design models. Extensive experience with Transact SQL including stored procedures and user defined functions. Experience working with programming languages (SQL,PL/SQL, .NET, VBscript, MDX). Extensive experience with the Microsoft data architecture and reporting tools required: SQL Server, SSRS, SSAS, and exposure to SSIS. Experience with a variety of reporting tools including SSRS, Tableau, Business Objects, Crystal Reports, and others.Considerable experience in performing data analyses in project as well as ad hoc settings.Demonstrate excellent written and verbal communication skills. Ability to work in a structured environment, to deliver quality systems within a management-approved schedule, and to work on technical teams as required. College degree in Computer Science, Information Systems or related field or equivalent training and experience. Working knowledge of n-tier application development tools and techniques (MS Framework, .NET, VB .NET, Python, etc.) is preferred. DELIVERABLES: Developing several analytical cubes and associated reporting for several lines of business including DOJ,CSB, Licensing, and REACH reporting. Other areas may be assigned as needed. Provide training to new users for SSRS report development and SQL basics. Extensive experience with the Microsoft data architecture and reporting tools required: SQL Server, SSRS, SSAS, and exposure to SSIS. (3 years) Experience with a variety of reporting tools including SSRS, Tableau, Business Objects,Crystal Reports, and others. (3 years) Extensive experience with Transact SQL including stored procedures and user defined functions (5 years) Additional Information All your information will be kept confidential according to EEO guidelines.

Healthcare Data Architect Length: 3 months- w/option for extension MUST HAVE Healthcare Payer experience from one of the following companies: Aetna, Cigna, Humana, Kaiser Permanente, United Healthcare, Anthem, BCBS, Horizon, Champus/Tricare, WellPoint, HCSC, TUFTS, Harvard Pilgrim, CDPHP, Oxford HP, Health first NY & NJ, Fallon, Americhoice, NHP. Possible Options- Healthcare consulting vertical experience.- Accenture, Slalom, PWC, KPMG, Cerner, etc. · Healthcare insurance data knowledge specifically in Coordination of Benefits, Subrogration and Medicare Secondary Payer Requirements: 1. Must have 5-7yrs experience developing Healthcare Insurance enterprise data architecture for operational data stores, MDM data stores, integration data stores, data warehouses, analytics hubs and data marts. o Perform the detailed data analysis. Verify natural keys through SQL queries against the source databases. o Develop data modeling standards. o Develop the conceptual data model(s) & logical data model(s). o Proficient with one or more leading data modeling tools such as Erwin, Enterprise 2. Must have previous experience developing Healthcare Insurance data analysis including: { This person will need to identify technical gaps and document opportunities for process automation.} o Participating in technical interviews with Technical Analysts and End Users; IT resources across different job functions o Leading identification of current state technical landscape and technical requirements o Working with client enterprise architects as required to validate current standards o Applying appropriate filters to analysis (best practices, industry trends and Vendor intellectual property) o Leading the articulation of the future state technical environment needs as well as the technical gap analysis o Providing architectural recommendations to align business and claim recovery strategy with the future state program o Providing input into the vision and roadmap development process 3. Assist with cost containment systems, applications, data stores and data flows. 4. Must be able to interface effectively with all levels of the organization. 5. Must have excellent interpersonal skills and be strong and effective communicator 6. Good writing skills and ability to multi task in the support of this Qualifications BS Degree Additional Information All your information will be kept confidential according to EEO guidelines.

Relevant Experience (Yrs): 8+ years Technical/Functional Skills: · Minimum 8-10 years of industry experience in Data Architecture and Data Modeling using ER Studio or Erwin. · Must have full lifecycle project experience as a Data Architect in designing and developing Enterprise Data models. · Must have multiple full lifecycle project experience as a Data modeler in modeling for Operational Data Stores, Data Warehouses and Data Marts. · Strong understanding of DW concepts · Hand on experience in implementing Dimensional and 3NF data models. · Understanding of DW appliances, Hadoop, SQL and PL/SQL concepts, standards and best practices · Database development, physical database design and data modeling experience Roles & Responsibilities: · Capture new requirements or changed requirements for modeling for new data marts, ODS, data warehouse. · Logical and Physical modeling and design for 3NF/dimensional model for ODS/Data Warehouse, · Develop/Modify data models as per requirements · Strong experience of data modeling in the Insurance industry, preferably life business, is a must. · DDL for database creation on appliances and manage database creation activities from inception to completion including interdependencies with other teams · Conversant with designing data structures for Hadoop staging and DW and Data marts hosted in DW appliances · Take an active role in the cross-functional design and coordinate with ETL and reporting teams · Work closely and foster strong relationships with ETL architecture team, database administration and data consumers (e.g., reporting and interfaces teams) to design warehouse/BI data structures · Manage the build phase and quality-assure the code to ensure that it meets requirements and adheres to standards; resolve difficult design and build issues; troubleshoot bugs · Plan and execute Quality Assurance testing with the QA team and resolve QA defects · Plan and manage QA and Production releases and ensure they are deployed smoothly Generic Managerial Skills: · Ability to prioritize and work on multiple tasks simultaneously · Strong communication and organizational skills · Ability to multi-task, prioritize and execute on assigned deliverables · Ability to quickly learn new systems and business processes Education: Bachelor's Degree Qualifications please share your profile to ***************************** Additional Information Job Status: Full Time / Permanent Eligibility: EAD GC/ GC/ US Citizen Share the Profiles to **************************** Contact: ************ Keep the subject line with Job Title and Location

Arete Technologies, Inc. offers set of innovative Consulting and Outsourcing services, bridging the gap between requirements and outputs of various dexterous and facile companies worldwide. The thrust of providing global deliverables with focus on providing paramount and unsurpassed services combined with cost saving solutions to the clients We understand the business requirements in the present day corporate scenario and aspire to provide world-class services enabling the organization to burgeon and flourish while keeping the work-life balance intact. The Global delivery mechanism followed at Arete Technologies, Inc. saddles proficient schemas and unconventional channels to provide one-stop solutions for all your workforce needs. our Team is an exquisite amalgamation of vast experiences of over 30 years in IT Consulting and Staffing industry. Connoisseurs in the field of staff augmentation for IT, we operate on 24 by 7 model with an aim of providing affordable and adept professionals with an assurance of satisfaction for both Consultants and Clients. We are pre-eminent service providers in the field of staff augmentation, IT Consultancy, Software development, Web Development providing unexcelled services and focusing on both the employers and employees. Job Description Support for development and maintenance of Oracle Data Warehouse to support OBIEE and BIP reporting tools for ABC The applicant is responsible for the successful delivery of business intelligence information to the entire organization and is experienced in Data Warehouse and BI development and implementations. The applicant will be involved in gathering of business requirements and creating technical designs. It involves designing, developing, and supporting new and current ETL processes employing industry standards and best practices to enhance loading of data from and into different source/ target systems. The data warehouse developer's role in an organization includes providing support to the organization's business requirements in the application and consumption of information from the Data Warehouse. The applicant will be part of the team to review, analyze, modify, and create ETLs, testing, debugging, integration and implementation processes. Task will also include documenting technical needs for ETL processes and databases, and ensuring optimal technical infrastructure is utilized. This position involves the delivering of huge data integration projects and would therefore require leveraging best practices expertise and experience at implementation; as well as effective technology know-how. Data Warehouse Developer Role: Experienced SQL and PL/SQL developer on Oracle database platform. Deep understanding of data warehouse and star schema Develop ETL scripts and write PL/SQL code from data model, dataflow diagram and technical design specifications Ability to work on wide variety of development needs from simple queries to complex queries and multidimensional analysis Ability to follow best coding standards practices Expert in performance tuning of ETL/SQL code Analyze and provide resolutions for production data issues Familiar with Unix shell scripting and job automation Build and implement BI dashboards, analysis using OBIEE Build reports using BI publisher Qualifications local considerd first Additional Information Best Regards Alka Bhatia

Job Description 100% on site In Person Only interview. Need to have a local government ID showing Richmond,VA address. *Candidate must reside in Richmond, VA Our client in Richmond, VA is seeking a Senior Business Analyst rec (788378) For a contract role. This position is up to 6 months with the potential for extension. Business Analysis - Expert level knowledge in business analysis functions (requirements, stakeholder management, testing, etc) Required 10 Years Leadership - Strong leadership and mentoring skills, with experience leading and guiding experienced teams. Required 7 Years Communication - Effectively conveying ideas to both technical and non-technical teams at various levels of an organization Required 7 Years Stakeholder Management - Ablity to build and maintain working relationships with key stakeholders within the organization Required 7 Years Support - Guide and help experienced professionals in achieving their goals and support in removing obsticles. Required 7 Years

At Navista, our mission is to empower community oncology practices to deliver patient-centered cancer care. Navista, a Cardinal Health company, is an oncology practice alliance co-created with oncologists and practice leaders that offers advanced support services and technology to help practices remain independent and thrive. True to our name, our experienced team is passionate about helping oncology practices navigate the future. We are seeking an innovative and highly skilled **Senior Data Scientist** with specialized expertise in Generative AI (GenAI), Large Language Models (LLMs), and Agentic Systems to join the Navista - Data & Advanced Analytics team supporting the growth of our Navista Application Suite and the Integrated Oncology Network (IoN). In this critical role, you will be at the forefront of designing, developing, and deploying advanced AI solutions that leverage the power of generative models and intelligent agents to transform our products and operations. You will be responsible for pushing the boundaries of what's possible, from foundational research to production-ready applications, working with diverse datasets and complex problem spaces, particularly within the oncology domain. The ideal candidate will possess a deep theoretical understanding and practical experience in building, fine-tuning, and deploying LLMs, as well as architecting and implementing agentic frameworks. You will play a key role in shaping our AI strategy, mentoring junior team members, and collaborating with cross-functional engineering and product teams to bring groundbreaking AI capabilities to life, including developing predictive models from complex, often unstructured, oncology data. **_Responsibilities_** + **Research & Development:** Lead the research, design, and development of novel Generative AI models and algorithms, including but not limited to LLMs, diffusion models, GANs, and VAEs, to address complex business challenges. + **LLM Expertise:** Architect, fine-tune, and deploy Large Language Models for various applications such as natural language understanding, generation, summarization, question-answering, and code generation, with a focus on extracting insights from unstructured clinical and research data. + **Agentic Systems Design:** Design and implement intelligent agentic systems capable of autonomous decision-making, planning, reasoning, and interaction within complex environments, leveraging LLMs as core components. + **Predictive Modeling:** Develop and deploy advanced predictive models and capabilities using both structured and unstructured data, particularly within the oncology space, to forecast outcomes, identify trends, and support clinical or commercial decision-making. + **Prompt Engineering & Optimization:** Develop advanced prompt engineering strategies and techniques to maximize the performance and reliability of LLM-based applications. + **Data Strategy for GenAI:** Work with data engineers to define and implement data collection, preprocessing, and augmentation strategies specifically tailored for training and fine-tuning generative models and LLMs, including techniques for handling and enriching unstructured oncology data (e.g., clinical notes, pathology reports). + **Model Evaluation & Deployment:** Develop robust evaluation metrics and methodologies for generative models, agentic systems, and predictive models. Oversee the deployment, monitoring, and continuous improvement of these models in production environments. + **Collaboration & Leadership:** Collaborate closely with machine learning engineers, software engineers, and product managers to integrate AI solutions into our products. Provide technical leadership and mentorship to junior data scientists. + **Innovation & Thought Leadership:** Stay abreast of the latest advancements in GenAI, LLMs, and agentic AI research. Proactively identify new opportunities and technologies that can enhance our capabilities and competitive advantage. + **Ethical AI:** Ensure the responsible and ethical development and deployment of AI systems, addressing potential biases, fairness, and transparency concerns. **_Qualifications_** + 8-12 years of experience as a Data Scientist or Machine Learning Engineer, with a significant focus on deep learning and natural language processing, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + Proven hands-on experience with Generative AI models (e.g., Transformers, GANs, VAEs, Diffusion Models) and their applications. + Extensive experience working with Large Language Models (LLMs), including fine-tuning, prompt engineering, RAG (Retrieval Augmented Generation), and understanding various architectures (e.g., GPT, Llama, BERT, T5). + Demonstrated experience in designing, building, and deploying agentic systems or multi-agent systems, including concepts like planning, reasoning, and tool use. + Strong experience working with unstructured data, particularly in the oncology domain (e.g., clinical notes, pathology reports, genomic data, imaging reports), and extracting meaningful features for analysis. + Demonstrated ability to create and deploy predictive capabilities and models from complex datasets, including those with unstructured components. + Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. + Experience with relevant libraries and tools (e.g., Hugging Face Transformers, LangChain, LlamaIndex). + Strong understanding of machine learning fundamentals, statistical modeling, and experimental design. + Experience with at least one cloud platforms ( GCP, Azure) for training and deploying large-scale AI models. + Excellent problem-solving skills, with the ability to tackle complex, ambiguous problems and drive solutions. + Strong communication and presentation skills, capable of explaining comp + Experience in the healthcare or life sciences industry, specifically with oncology data and research, highly preferred + Experience with MLOps practices for deploying and managing large-scale AI models, highly preferred + Familiarity with distributed computing frameworks (e.g., Spark, Dask), highly preferred + Experience contributing to open-source AI projects, highly preferred **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $123,400 - $176,300 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 02/15/2026 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

DPR Construction is seeking a skilled Senior Data Scientist to help advance our data-driven approach to building. In this role, you'll use statistical analysis, machine learning, and data visualization to turn complex construction and business data into actionable insights that improve project planning, cost forecasting, resource management, and safety. Working with project and operations teams, you'll build and deploy scalable, secure data solutions on cloud platforms like Azure and AWS, driving innovation and operational excellence across DPR's projects. Responsibilities * Data analysis and modeling: Analyze large datasets to identify trends, bottlenecks, and areas for improvement in operational performance. Build predictive and statistical models to forecast demand, capacity, and potential issues. * Develop and deploy models: Build, test, and deploy machine learning and AI models to improve operational processes. * Analyze operational data: Examine data related to projects, production, supply chains, inventory, and quality control to identify patterns, trends, and inefficiencies. * Optimize processes: Use data-driven insights to streamline workflows, allocate resources more effectively, and improve overall performance. * Forecast and predict: Create predictive models to forecast outcomes, such as demand, and inform strategic decisions. * Communicate findings: Present findings and recommendations to stakeholders through reports, visualizations, and presentations. * Ensure reliability: Build and maintain reliable, scalable, and efficient data science systems and processes. * Collaboration: Partner with project managers, engineers, and business leaders to ensure data solutions are aligned with organizational goals and deliver tangible improvements. * Continuous Learning: Stay current with advancements in data science and machine learning to continually enhance the company's data capabilities. * Reporting and communication: Create dashboards and reports that clearly communicate performance trends and key insights to leadership and other stakeholders. Translate complex data into actionable recommendations. * Performance monitoring: Implement data quality checks and monitor the performance of models and automated systems, creating feedback loops for continuous improvement. * Experimentation: Design and evaluate experiments to quantify the impact of new systems and changes on operational outcomes. Qualifications * Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, or a related field. * 7+ years of experience in data science roles within AEC, product or technology organizations. * At least 4 years of experience working with cloud platforms, specifically Azure and AWS, for model deployment and data management. * Strong proficiency in Python or R for data analysis, modeling, and machine learning, with experience in relevant libraries (e.g., Scikit-learn, TensorFlow, PyTorch) and NLP frameworks (e.g., GPT, Hugging Face Transformers). * Expertise in SQL for data querying and manipulation, and experience with data visualization tools (e.g., Power BI, Tableau). * Solid understanding of statistical methods, predictive modeling, and optimization techniques. * Expertise in statistics and causal inference, applied in both experimentation and observational causal inference studies. * Proven experience designing and interpreting experiments and making statistically sound recommendations. * Strategic and impact-driven mindset, capable of translating complex business problems into actionable frameworks. * Ability to build relationships with diverse stakeholders and cultivate strong partnerships. * Strong communication skills, including the ability to bridge technical and non-technical stakeholders and collaborate across various functions to ensure business impact. * Ability to operate effectively in a fast-moving, ambiguous environment with limited structure. * Experience working with construction-related data or similar industries (e.g., engineering, manufacturing) is a plus. Preferred Skills * Familiarity with construction management software (e.g., ACC, Procore, BIM tools) and knowledge of project management methodologies. * Hands-on experience with Generative AI tools and libraries. * Background in experimentation infrastructure or human-AI interaction systems. * Knowledge of time-series analysis, anomaly detection, and risk modeling specific to construction environments. DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at ********************

We are from US IT Solutions, an ISO Certified, E-Verify, WMBE Certified organization established in 2005 in CA. Our company is serving various State, Local and County Departments for over 10 years. USITSOL has been helping clients innovate across all phases of the application lifecycle for over a decade. Some of our prestigious clients are State of CA, State of OR, State of FL, State of NC, State of GA, State of CO, State of VA, State of AR, State of MI, State of OH, State of IL, State of MO, State of MS, California State University, Sacramento Area Sanitation Department, SMUD, Sound Transit, LA Superior Courts, District of Columbia, UMAS, University of Central Florida and Hennepin County and many more. Job Description PL/SQL and SQL developer with Oracle expereince 5 Understanding of Start Schema ata warehouses and data warehouse design 5 ETL script development and execution, including automation in a Linux / Oracle environment 5 Performance tuning and reconciliation of SQL quey execution 5 Familiar with Unix Shell Scripting 5 Qualifications Experience developing report specifications from business requirements and executing the build to design 5 Experience with a mature data modelling tool such as ERWIN (preferred) 5 Experience with Oracle 12 enviornments 3 Additional Information All your information will be kept confidential according to EEO guidelines.

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative,inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Senior Lead Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You'll Do: Collaborate with and across Agile teams to design/architect, develop, test, implement, and support technical solutions in full-stack development tools and technologies Lead workload optimization and develop/architect capabilities to drive optimizations at scale (e.g. SQL, Spark optimizations) Lead a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift, Snowflake and Databricks Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: Bachelor's Degree At least 6 years of experience in application development (Internship experience does not apply) At least 2 years of experience in big data technologies At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: Master's Degree 4+ years of data warehousing experience (Snowflake, Databricks, Redshift) 9+ years of experience in application development including Python, SQL, Scala, or Java 2+ years of experience engineering/leveraging Machine Learning & Gen AI capabilities and tools (Iceberg, Delta adoption, Cortext) 5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 4+ years of experience with AWS cloud services or other public cloud platforms (Microsoft Azure, Google Cloud) 4+ year experience working on large-scale Data Platforms 4+ years of experience with NoSQL implementation (Mongo, Cassandra) 4+ years of experience with UNIX/Linux including basic commands and shell scripting Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead Data EngineerNew York, NY: $250,800 - $286,200 for Sr. Lead Data EngineerRichmond, VA: $209,000 - $238,500 for Sr. Lead Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

At Koalafi, we believe in a world where no one has to put an important purchase on hold. That's why we're making it easier for more people to pay for big purchases over time. Retailers across the country rely on us to offer flexible lease-to-own financing to their non-prime consumers, while increasing sales and strengthening customer loyalty. Their 2M+ customers love us because we provide a flexible way for them to make payments and give them an opportunity to improve their credit. Our 200+ Koalafi teammates enjoy inspiring and challenging work that accelerates their careers. Interested in learning more about how we're transforming the financing experience and joining our team? What You'll Do Are you a senior-level data scientist with a passion for building and deploying high-impact fraud or credit risk models? Koalafi is seeking an experienced Data Scientist to lead the development, deployment, and monitoring of machine learning models that sit at the core of our portfolio's profitability. This role requires someone who thrives in an end-to-end environment-designing predictive models, operationalizing them in production, and ensuring they continue to perform in a dynamic market. You will be a key contributor to Koalafi's decisioning ecosystem, owning models that directly influence credit outcomes, fraud mitigation, and the financial performance of the company. Beyond technical expertise, you will bring strong business intuition, enabling you to translate modeling insights into strategic decisions. This position reports to the Manager of Data Science and regularly partners with senior leaders across Risk, Fraud, Analytics, and Technology. Responsibilities Build, deploy, and maintain production-grade credit and fraud models that are foundational to our real-time decisioning platform and essential to portfolio profitability Own the full MLOps lifecycle-from feature engineering, model training, and experiment management to production deployment, performance monitoring, drift detection, and continuous optimization Architect and scale end-to-end ML pipelines, ensuring reliability, reproducibility, and seamless integration with core decisioning services Design robust model monitoring frameworks that enable tracing, profiling, explainability, and rapid root-cause analysis for production incidents or model degradation Partner with data science, risk, and engineering leaders to shape modeling strategy, improve credit policy, and strengthen fraud defenses in response to customer behavior and macroeconomic trends Drive continuous improvement of existing models, incorporating new data sources, advanced techniques, and rigorous validation processes Communicate complex model logic and insights to non-technical stakeholders, clearly linking modeling decisions to business outcomes and strategic priorities About You 5+ years of hands-on experience building and deploying machine learning models, with a strong grasp of the end-to-end modeling lifecycle from feature engineering to validation and productionization 5+ years of professional experience writing performant, maintainable Python code in a collaborative production environment, leveraging core data science libraries like pandas, numpy, xgboost, and scikit-learn 2+ Years of experience working on Credit or Fraud risk models Proficient in SQL for querying, transforming, and analyzing large datasets, and comfortable working across relational databases and cloud-based data platforms Strong understanding of data structures, algorithms, and software engineering principles, and apply them to build robust and scalable data solutions Bachelor's degree in a quantitative or STEM field (e.g., Statistics, Mathematics, Computer Science, Engineering) and demonstrate strong analytical and problem-solving skills in your work Location Requirement: This position requires regular in-person attendance at one of our two office locations (Richmond, VA or Arlington, VA). Candidates must already be located within a commutable distance to either location, as relocation assistance is not available at this time Preferred Qualifications Advanced technical and analytical background, ideally with a Master's or PhD in a quantitative or STEM field, and a strong understanding of probability, statistics, and predictive modeling algorithms (e.g., Boosting, Random Forests, Decision Trees, Bayesian models) Exposure to data and compute platforms such as Snowflake and Databricks Background in financial services or experience working in fast-moving, high-growth environments such as startups Experience with modern ML infrastructure and tooling, including MLOps frameworks (e.g., MLflow, BentoML), CI/CD automation, and model observability, monitoring, and lifecycle management Familiarity with large language models (LLMs) and their deployment in production environments Why choose Koalafi: A career at Koalafi means opportunities to tackle exciting challenges every single day. We take pride in a culture of innovation, trust, and ownership. You'll get outside your comfort zone, build meaningful relationships, and most of all, take charge of projects that ultimately help people get the things they need most. Benefits: At Koalafi, you will have a direct impact on our products and help shape the company's success. We offer competitive compensation & benefits packages to keep you at your best: Comprehensive medical, dental, and vision coverage 20 PTO days + 11 paid holidays 401(k) retirement with company matching Student Loan & Tuition Reimbursement Commuter assistance Parental leave (maternal + paternal) Inclusion and Associate Engagement Programs Who we are & what we value: We focus on what's most important We set clear expectations and deliver We embrace challenges to reach our full potential We ask, “How can this be better?” We move fast together

**_What Data Science contributes to Cardinal Health_** The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we are pushing the boundaries of healthcare with cutting-edge Data Science and Artificial Intelligence (AI). Our mission is to leverage the power of data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the overall healthcare experience. We are seeking a highly motivated and experienced Senior Data Scientist to join our team as a thought leader and architect of our AI strategy. You will play a critical role in fulfilling our vision through delivery of impactful solutions that drive real-world change. **_Responsibilities_** + Lead the Development of Innovative AI solutions: Be responsible for designing, implementing, and scaling sophisticated AI solutions that address key business challenges within the healthcare industry by leveraging your expertise in areas such as Machine Learning, Generative AI, and RAG Technologies. + Develop advanced ML models for forecasting, classification, risk prediction, and other critical applications. + Explore and leverage the latest Generative AI (GenAI) technologies, including Large Language Models (LLMs), for applications like summarization, generation, classification and extraction. + Build robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with vast repositories of healthcare and business data, ensuring accurate and relevant outputs. + Shape Our AI Strategy: Work closely with key stakeholders across the organization to understand their needs and translate them into actionable AI-driven or AI-powered solutions. + Act as a champion for AI within Cardinal Health, influencing the direction of our technology roadmap and ensuring alignment with our overall business objectives. + Guide and mentor a team of Data Scientists and ML Engineers by providing technical guidance, mentorship, and support to a team of skilled and geographically distributed data scientists, while fostering a collaborative and innovative environment that encourages continuous learning and growth. + Embrace a AI-Driven Culture: foster a culture of data-driven decision-making, promoting the use of AI insights to drive business outcomes and improve customer experience and patient care. **_Qualifications_** + 8-12 years of experience with a minimum of 4 years of experience in data science, with a strong track record of success in developing and deploying complex AI/ML solutions, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases, along with evaluating retrievals from RAGs and GenAI models without ground truth + Experience working with building production ready Generative AI Applications involving RAGs, LLM, vector databases and embeddings model. + Extensive knowledge of healthcare data, including clinical data, patient demographics, and claims data. Understanding of HIPAA and other relevant regulations, preferred. + Experience working with cloud platforms like Google Cloud Platform (GCP) for data processing, model training, evaluation, monitoring, deployment and support preferred. + Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences preferred. + Proficiency in Python, statistical programming languages, machine learning libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools preferred. + Experience in Cloud Functions, VertexAI, MLFlow, Storage Buckets, IAM Principles and Service Accounts preferred. + Experience in building end-to-end ML pipelines, from data ingestion and feature engineering to model training, deployment, and scaling preferred. + Experience in building and implementing CI/CD pipelines for ML models and other solutions, ensuring seamless integration and deployment in production environments preferred. + Familiarity with RESTful API design and implementation, including building robust APIs to integrate your ML models and GenAI solutions with existing systems preferred. + Working understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with an emphasis on ML/GenAI implementations preferred. + Experience working in Agile development environments, including Scrum or Kanban, and a strong understanding of Agile principles and practices preferred. + Familiarity with DevSecOps principles and practices, incorporating coding standards and security considerations into all stages of the development lifecycle preferred. **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $121,600 - $173,700 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 11/05/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

360 IT Professionals is a Software Development Company based in Fremont, California that offers complete technology services in Mobile development, Web development, Cloud computing and IT staffing. Merging Information Technology skills in all its services and operations, the company caters to its globally positioned clients by providing dynamic feasible IT solutions. 360 IT Professionals work along with its clients to deliver high-performance results, based exclusively on the one of a kind requirement. Job Description We are looking to fill a position for Enterprise Architect in Richmond VA. Demonstrated skills to produce relevant solution design artifacts including but not limited to: technical estimates, sequence diagrams, data models. Qualifications Minimum Qualifications Possess strong knowledge in applied application, information, and integration architecture concepts; possess comprehensive IT analytical skills and strong problem-solving skills; have a working knowledge of various multi-user, multi-tasking operating systems/platforms (Unix, Windows, z/OS); and working knowledge of various development platforms (Java, .NET, SharePoint…); knowledge of enterprise service approaches. Demonstrated skills to produce relevant solution design artifacts including but not limited to: technical estimates, sequence diagrams, data models and conceptual logical and physical system designs; to prepare written communications and presentations; and be proficiently skilled with Microsoft Visio. Demonstrated ability to assess project needs and in support of project managers, help determine resource requirements and provide estimations to meet solution objectives; have a comprehensive knowledge of various software development methodologies (including agile techniques); ability to establish and maintain a high level of customer confidence in ability to deliver to business needs; to develop business capabilities understanding and expertise as implemented through technology suites as assigned; to plan for Quality Assurance; to perform methods to measure work progress; to write and maintain design documentation. Special instructions: • The candidates should present examples of their work in solution architecture. • Local interviews will be required. Additional Information In person interview is acceptable.