Data Science Jobs 2026 (Now Hiring) – Smart Auto Apply

General Summary Elevate is a leading online lending platform specializing in providing small dollar loans to individuals and businesses. Our mission is to offer accessible and responsible financial solutions through innovative technology and personalized service. We are looking for a Sr Data Scientist to provide complex analysis to drive business decisions for our organization Primary Responsibilities Use a data-driven approach to understand fraud risk and design effective strategies to mitigate 3rd party, 1st party, and post origination fraud. Collaborate with 3rd Party data and technology partners to acquire and analyze data that drives fraud strategies. Review, evaluate, and drive selection of new vendors or technologies to enhance our fraud strategies and mitigate emerging risks. Interact with other teams to gain understanding of how upstream credit and marketing strategies will impact the fraud program; communicate with stakeholders on how fraud program changes will impact them. Obtain approvals for implementation of changes to fraud polices and strategy Extract, cleanse, transform, and prepare data from multiple, disparate sources for use in analysis, modeling, and reporting. Research and remain current on the latest industry fraud trends and recommend tools, services, and practices for improvement Promote a risk-aware culture; ensure efficient and effective risk and compliance management practices by adhering to required standards and processes. Experience and Education Minimum 4-year degree (Computer Science, Math, or Business Degree preferred). Graduate degree preferred 5+ years data analyst/modeling experience Experience extracting and manipulating data using at least three of the following database technologies Microsoft SQL Server, Large SAS Datasets, Hadoop/Hive, Impala, Access, Oracle, MySQL, etc. Proven ability with at least one statistical package such as SAS, R, Python, SPSS, STATA, etc. Proficient with MS Office (Excel, Word, PowerPoint) or similar applications. Excellent communication and presentation skills Experience in consumer lending, risk management, and/or fraud analytics is strongly preferred California Employee Privacy Policy | Family & Medical Leave Act | Employee Polygraph Protection Act |E-Verify #LI-BJ1

This role will help to shape the future of our centralized (hub and spoke) analytics service model as part of a fast growing team and company. As a Sales Operations Analyst at Podium you will play a crucial role in shaping the analytical infrastructure that drives strategic decisions across our sales organization. Collaborating closely with sales leaders and cross-functional teams, you'll be instrumental in delivering insights and empowering data-driven strategies. The Role Your primary focus will be on enhancing and accelerating our GTM strategy through analytics within the Sales Strategy & Operations domain. This entails developing operational rigor, documenting key processes, crafting visualizations using our BI tool, Sigma, and conducting insightful ad hoc analyses to support and optimize sales performance. In this role, you'll partner broadly across GTM functions and leverage your analytical expertise to translate business needs into actionable insights. Your responsibilities will also extend to mentoring and training team members, fostering a culture of continuous learning and empowerment within the Revenue Operations and Analytics community. This role is required to be in office 5 days per week in our Lehi HQ. What you will be doing: Partner with Sales, RevOps, and GTM leaders to uncover performance opportunities using data, translate business questions into analytical workstreams, and shape data-driven solutions that materially improve sales effectiveness. Build scalable analytical frameworks to evaluate and optimize end-to-end sales processes, using data to pinpoint friction, forecast impact, and guide prioritization of operational improvements. Own program-level analytics for GTM initiative, scoping requirements, managing data workstreams, defining KPIs, and delivering insight packages that drive alignment across cross-functional partners. Collaborate with Business Applications, Data Engineering, and Data Science teams to enhance CRM and upstream data quality; influence data model design, strengthen governance, improve enrichment logic, and ensure the sales org has reliable, decision-ready data. Maintain clear documentation on data sources, metric definitions, reporting logic, and operational workflows to support consistency, onboarding, and long-term scalability. Build, automate, and maintain dashboards and scorecards that track pipeline health, rep performance, segmentation, territory coverage, and GTM efficiency; proactively highlight trends, anomalies, and risks. Deliver concise, high-impact analyses using Excel/Sheets, SQL, and BI tools; translate findings into insights executives can act on. Design and publish visualizations and reporting for ad-hoc and strategic projects, ensuring clarity, precision, and strong narrative flow. What You Should Have: 3-5 years of experience with data analytics, and technologies Strong analytical and strategic thinking skills, with a track record of turning ambiguous business problems into structured analyses and operational outcomes. A data-driven mindset with the ability to connect disparate data points, identify patterns, and articulate the "so what" with confidence. Hands-on experience with Excel/Google Sheets; SQL or BI tool exposure is a plus (and eagerness to deepen technical skills is expected). Familiarity with Salesforce or similar CRM systems, including comfort investigating data issues and partnering with technical teams to resolve them. An instinct for process design and optimization-always looking for cleaner logic, better workflows, and fewer manual steps. High attention to detail, systems curiosity, and an ability to troubleshoot data and workflow inconsistencies. Why you'll love working here: Podium is the best place to work to: Join the leaders in AI agents Unlock career-defining growth Build with world-class talent Make a real impact on local business Benefits: Open and transparent culture Life insurance, long and short-term disability coverage Paid maternity and paternity leave Fertility Benefits Generous vacation time, plus three 4-day summer holiday weekends Excellent medical, dental, and vision benefits 401k Plan with competitive company matching Bi-annual swag drops with cool Podium gear and apparel A stellar HQ (Utah) gym with local professional coaches and classes offered Onsite HQ (Utah) child care center, subsidized for employees Additional benefits for fully remote employees Podium is an equal opportunity employer. Podium provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status or veteran status.sexual orientation, gender identity or expression, age, disability, genetic information, marital status or veteran status.

Aviation Data Engineer, Lead The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it's gathered from disparate sources. We need an experienced data professional like you to help our clients find answers in their data to impact important missions-from fraud detection to cancer research to national intelligence. As a data engineer at Booz Allen, you'll use your expertise to help build advanced technology solutions and lead data engineering activities on some of the most mission-driven projects in the industry. You'll guide data engineering activities by overseeing the development and deployment of pipelines and platforms that organize and make disparate data meaningful. Here, you'll mentor a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You'll use your expertise in analytical exploration and data examination while you oversee the assessment, design, building, and maintenance of scalable platforms for your clients. Work with us to use data for good. Join us. The world can't wait. You Have: 7+ years of experience in application development using Databricks, PySpark, and AWS 7+ years of experience designing, developing, operationalizing, and maintaining complex data applications at enterprise scale 5+ years of experience creating software for retrieving, parsing, and processing structured and unstructured data 5+ years of experience developing scalable ETL/ELT workflows for reporting and analytics Experience developing scripts and programs for converting various types of data into usable formats and supporting the project team to scale, monitor, and operate data platforms Experience with aviation, geospatial, and weather datasets Experience supervising others and leading projects and deliverables within a collaborative, cross-functional team environment Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements Bachelor's degree Nice If You Have: 5+ years of experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud 5+ years of experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka 5+ years of experience working on real-time data and streaming applications 5+ years of experience with NoSQL implementation, including MongoDB or Cassandra 5+ years of experience with data warehousing, including AWS Redshift, MySQL, or Snowflake 5+ years of experience with UNIX/Linux, including basic commands and Shell scripting 5+ years of experience with Agile engineering practices Vetting: Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

RDQ427R152 About the Role As a Partner Engineer for Data Collaboration, you act as a technical specialist supporting strategic partners as they architect and build their data collaboration strategy on Databricks. You will prototype, evaluate, and implement best practices for data sharing, governance, and data productization, working directly with partner data teams to drive adoption of Databricks Marketplace, Delta Sharing, and Databricks native architectures. Key Responsibilities Lead end-to-end technical engagements with partners including onboarding, POC execution, data product evaluation, and Marketplace listing enablement. Design and prototype cross-cloud Delta Sharing architectures including governance, entitlements, security patterns, recipient management, and network configuration. Build and validate hands-on demos, sample data products, MCP server integrations, REST catalog validations, and multi-cloud sharing workflows. Troubleshoot complex data-sharing issues across security, networking, metadata, and client integration. Co-develop data productization strategies including metadata enrichment, semantic models, metric views, and AI-ready packaging. Contribute to the evolution and rollout of the Partner Well Architected Framework, ensuring data collaboration best practices are up-to-date and informed by real partner experiences. Act as a technical validator for new Databricks and partner features, providing actionable feedback to product and engineering teams. Enable and educate partners and field teams on best practices for data collaboration, sharing, and Marketplace operations; develop training and documentation as needed. Support the field on data sharing and collaboration use cases at their customers Required Qualifications 5+ years experience in field engineering, solution architecture, or a technical cloud/data domain. Experience with cloud data platforms (Databricks, AWS, Azure, GCP), data governance, and collaborative data product development. Hands on Experience with data sharing, Delta Sharing, Unity Catalog, and associated Marketplace features preferred. Strong written and verbal communication, consultative skills, and ability to manage technical partner relationships. Comfort supporting multiple projects and navigating ambiguity; strong bias for hands-on execution and learning. Preferred Qualifications Experience working directly with large data providers, especially in managed sharing, collaborative delivery models, and data marketplaces Evangelist who can create excitement with the field and customers Industry experience in martech or healthcare Experience is customer facing roles working with data products Open-source contributions or community engagement in data and AI technologies.

Job Family: Data Science Consulting Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust What You Will Do: We are seeking an experienced Associate Director to join our growing AI and Data practice, with a dedicated focus on the Federal Civilian Agencies (FCA) market within the Communities, Energy & Infrastructure (CEI) segment. This individual will be a hands-on leader, responsible for both business development and delivery of AI- and data-driven solutions that enable federal clients to achieve mission outcomes, operational efficiency, and digital transformation. This is a leadership role for someone who thrives at the intersection of technology, data, and public sector strategy. The Associate Director will oversee cross-functional teams and collaborate directly with client executives and business leaders to drive value through advanced analytics, data strategy, and AI-based solutions. This is a leadership role for someone who thrives at the intersection of technology, data, and industry strategy. Key Responsibilities Include Client Leadership & Delivery Serve as a trusted advisor to state and local government clients on establishing an AI strategy that encompass both building core AI capabilities, as well as addressing key use cases around organizational priorities (e.g., constituent facing AI-enabled services, mission operations optimiztions, enhanced predictive planning). Lead engagements from strategy through implementation, ensuring delivery excellence and measurable outcomes. Translate complex business challenges into actionable AI/ML and data solutions using platforms such as Snowflake, Databricks, and Azure/AWS/GCP. Solution Development & Innovation Design and lead AI/ML and analytics solutions using best-in-class tools and platforms. Translate business challenges into actionable use cases and scalable data and AI products and services. Stay ahead of industry trends and emerging technologies to inform solution development. Advise and lead the technical design and development of AI/ML and data solutions. Business Development Drive growth through capture support, proposal development, and strategic pursuits. Collaborate with partners and directors to expand Guidehouse's footprint in the state and local government market. Contribute to thought leadership and represent the firm in industry forums and client discussions. Practice & Team Leadership Mentor and lead multidisciplinary teams including scientists, engineers, and consultants. Support recruiting, onboarding, and talent development within the AI & Data practice. Foster a culture of innovation, collaboration, and continuous learning. What You Will Need: Bachelor's degree is required Minimum SEVEN (7) years of experience of hands-on AI development, engineering, and analytics expertise Minimum FIVE (5) years of experience delivering technical solutions and programs to public sector organizations. Strong understanding of AI/ML technologies, data platforms (e.g., Snowflake, Databricks, AWS/GCP/Azure), and analytics methodologies. Demonstrated experience supporting the business development lifecycle, such as capture and proposal writing related activities. Proven track record of leading large-scale AI/ML and data engagements from concept to execution. Experience with GenAI technologies and trends, with an understanding of how to incorporate into impactful solutions and services. Demonstrated ability to source and lead the formation and execution of successful partnerships between and across major stakeholders including technology partners and business end-users. Proven ability to collaborate with audiences with a wide range of technical knowledge and at different levels of an organization, from the C-Suite (CIO, CISO, CDO) to an engineering and or architecture team. Ability to influence and motivate a team of data and AI specialists across a variety of functions to establish and deliver capabilities at scale. Excellent communication, facilitation, and relationship-building skills. What Would Be Nice To Have: Master's Degree AI/LLM Certifications Project Management Professional (PMP) Hands on experience bringing GenAI solutions to production. Experience working with state and local clients. Familiarity with federal contracting and procurement processes. The annual salary range for this position is $149,000.00-$248,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S., supporting 15,000 healthcare professionals and team members at more than 1,000 health and wellness offices across 46 states in four distinct categories: Dental Care, Urgent Care, Pet Care, and Medical Aesthetics. Working in partnership with independent practice owners and clinicians, the team is united by a single purpose: to prove that healthcare can be better and smarter for everyone. TAG provides a comprehensive suite of centralized business support services that power the impact of four consumer-facing businesses: Aspen Dental, ClearChoice Dental Implant Centers, WellNow Urgent Care, Lovet Veterinary Clinics and Chapter Aesthetic Studio. Each brand has access to a deep community of experts, tools and resources to grow their practices, and an unwavering commitment to delivering high-quality consumer healthcare experiences at scale. Position Overview: As the Manager of Data Engineering at TAG you will be responsible for overseeing a team of data engineers and driving the development and maintenance of our data infrastructure. You will play a critical role in ensuring data quality, transformation, and orchestration while working closely with cross-functional teams to support data-driven decision-making. This position offers a unique chance to lead a team and contribute to the organization's data-driven success. While you will be in a leadership role you are expected to have hands on keyboard and also contributing to building data pipelines and support Capitalized and Operational Driven Projects. Key Responsibilities: Leadership, Mentorship and Day to Day Management of Data Engineering Pods and Resources Development of DBT Pipelines for data transformation, including cataloging, lineage, freshness, and data quality checks. Implement best practices to optimize data transformation processes. Code Reviews: Conduct thorough code reviews to ensure the quality, efficiency, and maintainability of data engineering code. Provide constructive feedback and mentor team members to improve their skills. Governance and Best Practices: Hold the data engineering team accountable for adhering to code quality, dbt best practices, and data governance standards. Establish and enforce coding standards and guidelines. Infrastructure Management: Collaborate with the Data Platform Team to define and maintain the infrastructure for data engineering code. Ensure scalability, reliability, and performance of data pipelines. Airflow and DAG Quality: Implement and maintain Airflow workflows and DAGs (Directed Acyclic Graphs) to orchestrate data pipelines effectively. Ensure the quality and reliability of workflow scheduling and execution. Google Cloud Technologies: Leverage Google Cloud Platform (GCP) technologies such as Pub/Sub, DataFlow, Cloud Functions, BigQuery, and Cloud Storage to design and optimize data solutions. Team Leadership: Lead and mentor a team of data engineers, fostering a culture of collaboration, continuous learning, and innovation. Provide guidance on technical and career development. Data Collaboration: Collaborate closely with data scientists, analysts, and other stakeholders to understand their data requirements and provide data engineering support. Agentic AI and RAG Integrations: Stay updated with the latest advancements in Agentic AI and RAG Technologies. Evaluate and integrate as and when appropriate into data engineering processes to enhance data retrieval, generation and overall efficiency Lead the integration of Vibe coding practices into data engineering processes. Define and enforce guardrails to ensure ethical and responsible usage of Vibe Coding, collaborate with cross functional teams to establish best practices and help mentor the team the important of better prompting, style guides and interfacing with tooling choices to get more accurate, smarter and better results Qualifications/Requirements: Bachelor's degree in a relevant field (e.g., Data Science, Computer Science, Business Analytics); master's degree preferred. Proven experience in data engineering, with at least 2 years in a leadership or managerial role. Minimum of 5 years' experience in a Data Engineering Role - with a preference of 7 years for highly qualified candidates. Expertise in DBT for data transformation, including cataloging, lineage, freshness, and data quality checks. Strong understanding of data governance principles and best practices. Proficiency in Airflow and DAG development. Experience working with Google Cloud Platform (GCP) technologies. Preferably with Professional Data Engineer Certification Excellent coding skills in languages such as Python and SQL. Strong leadership, communication, and problem-solving skills. Knowledge of Agentic AI, RAG and Vibe Coding Technologies and the implementation of those into the data practice This role is onsite 4 days/week in our Chicago office (Fulton Market District) A generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match $160,000 - 190,000 plus performance bonus

Industry/Sector Insurance Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. You'll focus on aligning client data strategies to their business strategy. You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Use feedback and reflection to develop self awareness, personal strengths and address development areas. Delegate to others to provide stretch opportunities, coaching them to deliver results. Demonstrate critical thinking and the ability to bring order to unstructured problems. Use a broad range of tools and techniques to extract insights from current industry or sector trends. Review your work and that of others for quality, accuracy and relevance. Know how and when to use tools available for a given situation and can explain the reasons for this choice. Seek and embrace opportunities which give exposure to different situations, environments and perspectives. Use straightforward communication, in a structured way, when influencing and connecting with others. Able to read situations and modify behavior to build quality relationships. Uphold the firm's code of ethics and business conduct. Job Requirements and Preferences: Basic Qualifications: Minimum Degree Required: Bachelor Degree Minimum Years of Experience: 4 year(s) Preferred Qualifications: Certification(s) Preferred: Certification in one of the following cloud platform- AWS/Azure/GCP Certification in Snowflake Certification in any ETL/ELT tool Preferred Knowledge/Skills: Demonstrates thorough knowledge and success as both team leader and member roles within a professional services firm or large enterprise. Understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers- AWS, Azure, GCP; Implementing cloud data architecture and data integration patterns for one or more of the cloud providers (AWS Glue, Azure Data Factory, Event Hub, Databricks,Snowflake etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform); Understanding and thorough knowledge of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & snowflake schemas); Applying knowledge and relevant work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL pipeline development tools (tools: IICS/AWS Glue/Matillion/Abinitio SSIS/SnapLogic); preferable in P&C/L&A Insurance data warehouse; Developing file and object-based storage solutions using Azure ADLS 2.0 or AWS S3; Applying knowledge in SQL, report generation using visualization tools such as Tableau/Power BI/Cognos Programming using Python/Spark Understanding of enterprise data concepts such as Master Data Management Data Governance and Enterprise Data Warehouse; Support cross-functional teams to understand their workflow and automation needs. Design and develop scalable data warehouse solutions that meet the organization's data storage, retrieval, and analysis requirements. Understanding and familiarity of one or more is a big plus- CI/CD, cloud devops, containers (kubernetes/Docker, etc.); Understanding of insurance data, underlying KPIs and how they are used; and, Demonstrating prior P&C/L&A Insurance industry experience. Demonstrates thorough abilities success with managing the identification and addressing of client needs: Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; Contributing as a team member by understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; and, Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Industry/Sector Not Applicable Specialism Managed Services Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Data and Analytics team you will develop and implement innovative IBM MDM solutions that drive data management initiatives. As a Senior Associate, you will leverage your knowledge in master data management and data quality frameworks to mentor junior team members and build meaningful client relationships while navigating complex challenges. Responsibilities Maintain adherence to data quality frameworks and industry standards Work with cross-functional teams to drive data initiatives Navigate and manage ambiguity in project requirements Provide insights and recommendations based on data analysis What You Must Have Bachelor's Degree 3 years of experience What Sets You Apart Master's Degree in Computer Science preferred Certifications in IBM MDM, AWS Certified Data Analytics, Azure Data Engineer Associate, Teradata, SQL databases, and DevOps tools preferred Demonstrating leadership in developing IBM MDM solutions Working with cross-functional teams for technical solutions Implementing data quality and governance policies Troubleshooting MDM implementation and data quality issues Utilizing and being proficient ETL tools for data management processes Integrating MDM solutions with cloud platforms Participating in code reviews for compliance Expertise in IBM MDM development and implementation Strong understanding of master data management and data quality frameworks Experience with cloud platforms such as AWS or Azure Strong SQL skills for database management and data manipulation Travel Requirements Up to 60% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Location(s): United States of America City/Cities: Atlanta Travel Required: 00% - 25% Relocation Provided: Yes Job Posting End Date: February 6, 2026 Shift: Job Description Summary: Senior Manager, Research & Innovation Data Integration The Senior Manager, Research & Innovation Data Integration enables world-class research and innovation by leading the integration, management, and optimization of data across the Technical Innovation & Supply Chain (TI&SC) function. This role requires strong expertise in data integration, cloud and hybrid architectures, and data governance, combined with the ability to partner effectively across technical and business teams. The successful candidate will build scalable, secure, and connected data environments that ensure trusted data access for analytics and insights. A strong change leader, this individual will champion innovation, continuous improvement, and compliance. Success in this role requires both technical depth and collaborative leadership. What You'll Do for Us You will lead the discovery, integration, and governance of data assets that power research, innovation, and operational excellence across TI&SC. This role is responsible for building high-quality, scalable, and secure data integration capabilities that enable analytics, insights, and value creation. You will collaborate closely with platform architects, analytics teams, IT, and business stakeholders to ensure data is trusted, accessible, and compliant, while continuously improving data practices and adopting new technologies. Data Source Discovery, Integration & Enablement Identify, catalog, and manage diverse internal and external data sources across on‑premise, cloud, SaaS, and third-party platforms. Design, implement, and maintain secure, scalable data integration architectures and pipelines using modern cloud and hybrid technologies. Partner with IT, platform architects, and DevOps teams to enable connectivity through APIs, data lakes, ETL/ELT frameworks, and middleware. Oversee onboarding, documentation, lifecycle management, and vendor relationships related to data sources and integration technologies. Data Quality, Governance & Business Value Enablement Establish and enforce data quality standards, governance practices, and controls across hybrid and cloud environments. Lead data profiling, cleansing, harmonization, and standardization efforts using automation and advanced tools. Ensure adherence to data privacy, security, and regulatory requirements in partnership with compliance and information security teams. Enable analytics and business teams to transform integrated data into actionable insights, defining and tracking KPIs to measure business impact. Promote data literacy, support change management, and drive adoption of new data and cloud-driven strategies across TI&SC. Qualifications & Requirements Education & Certifications Bachelor's or Master's degree in Data Science, Computer Science, Information Systems, Engineering, or a related field. Experience 7+ years of experience in data integration, data management, analytics, or related technical roles, preferably within R&D, innovation, or technical environments. Technical & Professional Requirements: Expertise in cloud data platforms (e.g., Azure, AWS, GCP), APIs, ETL/ELT frameworks, and modern data architectures (data lakes, data mesh, hybrid models). Strong knowledge of data quality management, governance, security, privacy, and risk management. Proven ability to lead cross-functional collaboration, influence stakeholders, and drive change initiatives. Excellent communication, leadership, and problem-solving skills, with the ability to translate technical concepts into business value. What We Can Do For You Iconic & Innovative Brands: Our portfolio represents over 250 products with some of the most popular brands in the world, including Coca-Cola, Simply, Fairlife & Topo Chico. Expansive & Diverse Customers: We work with a diversified group of customers which range from retail & grocery outlets, theme parks, movie theatres, restaurants, and many more each day. Our Purpose and Growth Culture: We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what's possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors - curious, empowered, inclusive and agile - and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca‑Cola. The Coca-Cola Company will not offer sponsorship for employment status (including, but not limited to, H1-B visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work legally in the United States. Skills: Pay Range: $150,750 - $177,765 Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered. Annual Incentive Reference Value Percentage: 15 Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target. Our Purpose and Growth Culture: We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what's possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors - curious, empowered, inclusive and agile - and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.

Job Description Infosys is seeking a Data Scientist / Gen AI Lead Consultant with ZGenerative AI, Agentic AI, Machine Learning (ML), AI and Python experience. Ideal candidate is expected to have prior experience in end-to-end implementation of Gen AI and Agentic AI based solution, fine tuning large language models, Machine Learning models that includes identification of 'right' problem, designing 'optimum' solution, implementing using 'best in class' practices and deploying the models to production. Will work in alignment with data strategy at various clients, using multiple technologies and platforms. Required Qualifications: Bachelor's Degree or foreign equivalent will also consider three years of progressive experience in the specialty in lieu of every year of education. At least 7 years of Information Technology experience At least 4 years of hands-on GenAI / Agentic AI and data science with machine learning Strong proficiency in Python programming. Experience of deploying the Gen AI applications with one of the Agent Frameworks like Langgraph, Autogen, Crew AI. Experience in deploying the Gen AI stack/services provided by various platforms such as AWS, GCP, Azure, IBM Watson Experience in Generative AI and working with multiple Large Language Models and implementing Advanced RAG based solutions. Experience in processing/ingesting unstructured data from PDFs, HTML, Image files, audio to text etc. Experience with data gathering, data quality, system architecture, coding best practices Hands-on experience with Vector Databases (such as FAISS, Pinecone, Weaviate, or Azure AI Search). Experience with Lean / Agile development methodologies This position may require travel, will involve close co-ordination with offshore teams This position is located in Bridgewater, NJ; Sunnyvale, CA; Austin, TX; Raleigh, NC; Richardson, TX; Tempe, AZ; Phoenix, AZ; Charlotte, NC; Houston, TX; Denver, CO; Hartford, CT; New York, NY, Palm Beach, FL; Tampa, FL or Alpharetta, GA, or is willing to relocate. Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time Preferred Data Scientist Qualifications: 4 years of hands-on experience with more than one programming language; Python, R, Scala, Java, SQL Hands-on experience with CI/CD pipelines and DevOps tools like Jenkins, GitHub Actions, or Terraform. Proficiency in NoSQL and SQL databases (PostgreSQL, MongoDB, CosmosDB, DynamoDB). Deep Learning experience with CNNs, RNN, LSTMs and the latest research trends Experience in Python AI/ML frameworks such as TensorFlow, PyTorch, or LangChain. Strong understanding and experience of LLM fine-tuning, local deployment of open-source models Proficiency in building RESTful APIs using FastAPI, Flask, or Django. Experience in Model evaluation tools like DeepEval, FMeval, RAGAS , Bedrock model evaluation. Experience with perception (e.g. computer vision), time series data (e.g. text analysis) Big Data Experience strongly preferred, HDFS, Hive, Spark, Scala Data visualization tools such as Tableau, Query languages such as SQL, Hive Good applied statistics skills, such as distributions, statistical testing, regression, etc. The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements. The estimated annual compensation range for candidates in the below locations will be- Sunnyvale, CA; Bridgewater, NJ; New York, NY, Denver, CO: $103500 to $188888 Along with competitive pay, as a full-time Infosys employee, you are also eligible for the following benefits : Medical/Dental/Vision/Life Insurance Long-term/Short-term Disability Health and Dependent Care Reimbursement Accounts Insurance (Accident, Critical Illness, Hospital Indemnity, Legal) 401(k) plan and contributions dependent on salary level Paid holidays plus Paid Time Off

About Us: YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments. Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers-ranging from the world's top investment funds to Fortune 500 companies-depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence. We operate globally with offices in the US (NYC, Austin, Miami, Mountain View), APAC (Hong Kong, Shanghai, Beijing, Guangzhou, Singapore), and India. Our award-winning, people-centric culture-recognized by Inc. as a Best Workplace for three consecutive years-emphasizes transparency, ownership, and continuous mastery. What It's Like to Work at YipitData: YipitData isn't a place for coasting-it's a launchpad for ambitious, impact-driven professionals. From day one, you'll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers. Why Top Talent Chooses YipitData: Ownership That Matters: You'll lead high-impact projects with real business outcomes Rapid Growth: We compress years of learning into months Merit Over Titles: Trust and responsibility are earned through execution, not tenure Velocity with Purpose: We move fast, support each other, and aim high-always with purpose and intention If your ambition is matched by your work ethic-and you're hungry for a place where growth, impact, and ownership are the norm-YipitData might be the opportunity you've been waiting for. About The Role: YipitData's Corporate team collaborates directly with organizations like Summer Fridays, 3M, and Uber to build one of the most comprehensive views into how consumers in the U.S. are purchasing and engaging with brands. By transforming massive volumes of consumer data into accurate, reliable, and actionable insights, we enable our clients to understand not just what is happening in their businesses, but why-and to use that understanding to make higher-confidence decisions in an increasingly competitive landscape. Over the years, we've delivered high-impact insights across core retail sectors, and our clients have found this data so valuable that demand has expanded into new sectors. To meet this growing demand, we are expanding our Data team within the Corporate practice and are looking for a Senior Data Analyst to lead our Emerging Sectors initiative. This role is a unique opportunity to shape how YipitData enters and scales coverage in entirely new verticals. The Emerging Sectors Data team is responsible for taking YipitData's core retail metrics and making them usable and reliable in new verticals-through improved category classification, more precise product attribution, and continuously increasing data accuracy as coverage evolves. You will work closely with our Insights team to understand what clients in new sectors truly need, then rapidly and iteratively transform the data to deliver those insights. You'll play a critical role in building the methodologies, workflows, and quality standards that allow these sectors to scale. You'll report to the Head of Data and operate as a player-coach, balancing hands-on analytical ownership with responsibility for setting standards, improving workflows, collaborating with cross-stakeholders, and coaching analysts on your team. This is a fantastic opportunity for someone who thrives in ambiguity & rapid growth, enjoys building systems from the ground up, and wants to shape how new sectors are operationalized at scale. This is a remote-friendly opportunity that can sit in NYC (where our headquarter is located), one of our office hubs (Austin, Miami, Mountain View, or anywhere else in the US. However, depending upon where the remote work is performed, income could be subject to New York State tax withholding. As Our Emerging Sectors Data Lead, You Will: Own data strategy and execution for a portfolio of client deliverables within new sectors, driving product success through a focus on accuracy, client value, and efficiency, and partnering closely with product and revenue leaders to set and hit ambitious targets Serve as a subject-matter expert for emerging sector data, partnering with GTMl teams on client conversations to explain methodologies, address questions, and ensure our data solutions align with client needs Investigate and resolve data quality issues, proactively troubleshooting client- or internal QA concerns, and implementing scalable fixes Design, standardize, and maintain scalable workflows, ensuring consistency and efficiency as coverage expands Own and evolve sector categorization frameworks, including maintaining and enhancing core sector taxonomies and building custom categorizations for sector-specific clients Operate as a player-coach, setting a high bar for quality, speed, and innovation while mentoring and empowering your team to do their best work Partner cross-functionally with other team,s including Data, Insights, Revenue, and Engineering to uncover and execute on opportunities to further drive ARR growth and optimize our processes and pipelines You Are Likely To Succeed If: You have 6+ years of experience in data analytics, data operations, or consulting, including 1-2 years in a lead or management capacity You have 4+ years of experience working with SQL, Python, Pyspark, or other programming languages to explore and transform large, complex datasets; Familiarity with Github and Databricks You have strong experience working with large, messy, evolving datasets, especially in environments with changing definitions or taxonomies You are comfortable with SQL and Python (or similar tools) and have experience building and maintaining production-grade data workflows (Databricks, Spark, GitHub familiarity a plus) You have a strong ownership mindset and enjoy building structure in fast-moving environments You have strong communication skills and are able to work and project manage effectively with stakeholders across both technical and non-technical teams Preferred: Experience supporting market intelligence or data analytics with brand manufacturers and/or retailers, with a strong understanding of their business needs What We Offer: Our compensation package includes comprehensive benefits, perks, and a competitive salary: We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more! Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. See more on our high-impact, high-opportunity work environment above! The annual on-target earnings for this position is anticipated to be up to $170K ~ $190K + 10% target variable. The final offer may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, abilities, as well as internal team benchmarks. The compensation package also includes equity. This role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. We also have office hubs in Austin, Miami, Denver, Mountain View, and Seattle. If the remote work is performed outside of these offices, income may be subject to New York State tax withholding. Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal-opportunity employer. Job Applicant Privacy Notice

What success looks like in this role: Install, configure, and maintain servers, network equipment, and storage systems. Perform routine hardware diagnostics, troubleshooting, and repairs. Monitor data center infrastructure for performance, temperature, and power usage. Manage cabling (fiber and copper) and ensure proper labeling and documentation. Support remote hands requests and coordinate with vendors and internal teams. Maintain inventory of hardware and spare parts. Follow and enforce data center security and access protocols. Participate in on-call rotation and respond to incidents as needed. On-site role in a secure data center environment Travel may be required to support other client data centers. May require evening or weekend work for maintenance windows or emergencies. Perform ancillary data center tasks such as managing user access to supported data centers, creating tickets for inbound/outbound shipments, etc. Participate in on-call rotation You will be successful in this role if you have: Associate degree in Information Technology, Computer Science, or related field (or equivalent experience). 3-4 years of experience in a data center or IT support role. Familiarity with server hardware, networking equipment, and structured cabling. Ability to lift and move equipment up to 50 lbs. Strong troubleshooting and documentation skills. This role may require access to export-controlled commodities and technology. Therefore, to conform to U.S. export control regulations, applicant should be eligible for any required authorizations from the U.S. Government. Unisys is proud to be an equal opportunity employer that considers all qualified applicants without regard to age, caste, citizenship, color, disability, family medical history, family status, ethnicity, gender, gender expression, gender identity, genetic information, marital status, national origin, parental status, pregnancy, race, religion, sex, sexual orientation, transgender status, veteran status or any other category protected by law. This commitment includes our efforts to provide for all those who seek to express interest in employment the opportunity to participate without barriers. If you are a US job seeker unable to review the job opportunities herein, or cannot otherwise complete your expression of interest, without additional assistance and would like to discuss a request for reasonable accommodation, please contact our Global Recruiting organization at GlobalRecruiting@unisys.com or alternatively Toll Free: 888-560-1782 (Prompt 4). US job seekers can find more information about Unisys' EEO commitment here.

Industry/Sector Insurance Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. You'll focus on aligning client data strategies to their business strategy. You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Use feedback and reflection to develop self awareness, personal strengths and address development areas. Delegate to others to provide stretch opportunities, coaching them to deliver results. Demonstrate critical thinking and the ability to bring order to unstructured problems. Use a broad range of tools and techniques to extract insights from current industry or sector trends. Review your work and that of others for quality, accuracy and relevance. Know how and when to use tools available for a given situation and can explain the reasons for this choice. Seek and embrace opportunities which give exposure to different situations, environments and perspectives. Use straightforward communication, in a structured way, when influencing and connecting with others. Able to read situations and modify behavior to build quality relationships. Uphold the firm's code of ethics and business conduct. Job Requirements and Preferences: Basic Qualifications: Minimum Degree Required: Bachelor Degree Minimum Years of Experience: 4 year(s) Preferred Qualifications: Certification(s) Preferred: Certification in one of the following cloud platforms- AWS/Azure/GCP Preferred Knowledge/Skills: Demonstrates thorough abilities and/or success in one or many of the following areas: Demonstrating an expertise in developing and implementing data or analytics-driven strategies to drive business growth and optimize decision-making; Defining data management and data/analytics governance strategy and align data initiatives with organizational goals; Conducting data/analytics strategy refresh on a regular basis and managing overall data strategy program success; Delivering strategy and transformation projects; Understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers- AWS, Azure, GCP; Implementing cloud data architecture and data integration patterns for one or more of the cloud providers (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform); Understanding and thorough knowledge of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & snowflake schemas); Applying knowledge and work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL/ELT pipeline development (tools: IICS/AWS Glue/SAP BODS/Matillion/DBT/Abinitio/SSIS/SnapLogic); preferable in P&C/L&A Insurance data warehouse; Developing file and object-based storage solutions using Azure ADLS 2.0 or AWS S3; Applying knowledge in SQL, report generation using visualization tools such as Tableau/Power BI/Cognos, programming using Python/Spark; Designing and developing advanced analytics solutions, AI/ML models, and operationalizing based on ML Ops process; Understanding of enterprise data concepts such as Master Data Management Data Governance and Enterprise Data Warehouse; Applying leading practices in supporting high availability, scalable, process and storage intensive solutions architectures to data integration/migration, analytics and insights, AI and ML requirements; Understanding and familiarity of one or more is a big plus- CI/CD, cloud devops, containers (Kubernetes/Docker, etc.); Understanding of insurance data, underlying KPIs and how they are used; and, Demonstrating prior P&C/L&A Insurance industry experience. Demonstrates thorough abilities with, and/or a proven record of success directing efforts in the following areas: Demonstrating prior Big 4 or proven consulting experience in strategy through execution projects; Working closely with business stakeholders to capture and document business objectives/requirements, ability to translate business and technology objectives to next generation cloud, digital and technology solution architectures; Understanding how the application of analytical techniques correlated to business value and being able to select the appropriate analytical techniques for the problem at hand; Willing to learn and apply modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; Understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating cogently in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; and, Demonstrating leadership experience, including providing coaching, feedback and guidance on work performance. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Overview LocumTenens.com has been leading the way in a booming healthcare industry since 1995. Locum Tenens is a Latin phrase meaning, "to substitute for." When hospitals are understaffed, they rely on us to find them the right temporary physicians to fill in when needed. Every associate at LocumTenens.com plays a role in getting patients seen, no matter what they studied in school or what their role is here. Located in Alpharetta, GA, we boast a state-of-the-art campus featuring world-class amenities. There's nothing ordinary about a typical day here, take a look for yourself: https://share.vidyard.com/watch/VfMVtWsvT1pn4T6nvUZxn1 . We are a Jackson Healthcare company and we are now the second largest healthcare staffing company in the U.S., serving more than 7 million patients in over 1,400 healthcare facilities. The Data Leader will architect and execute a comprehensive data strategy that supports business growth, enhances operational efficiency, and unlocks new revenue opportunities. This executive will oversee the development of our data products, analytics platforms, and governance frameworks. ESSENTIAL FUNCTIONS AND BASIC DUTIES: Data and AI-Driven Business Transformation- 50% Lead the charge in embedding AI and data-driven approaches into key business functions such as marketing, sales, operations, finance, and product development to unlock new revenue streams, improve customer experiences, and streamline internal processes Partner with technology, product, and analytics teams to ensure the successful execution of AI and data initiatives, ensuring that these projects are aligned with the overall business strategy Oversee Data Product Management including but not limited to: Own the vision, roadmap, and lifecycle of internal and external data products Collaborate with stakeholders to identify opportunities for new data-driven products and services Ensure data products deliver measurable business value and user satisfaction Champion user-centric design and agile development practices across data product team Establish KPIs and success metrics for data products and drive continuous improvement Team Management- 20% Directs team processes and procedures; ensures work is completed in accordance with Company standards Instills a culture of domain expertise within the team Coaches and develops associates to achieve maximum performance Interviews and selects candidates for hire; implements associate engagement strategies Maintains the overall efficiency and effectiveness of the team Data Governance & Compliance- 15% Drive the compliance and sponsorship to data governance efforts by working with business leaders and enterprise data owners Oversee data quality management efforts, ensuring that the organization has the tools and processes to measure, manage, and improve data quality across all systems Ensure the creation and enforcement of data stewardship roles to ensure that data is properly maintained, validated, and leveraged across all business functions Cross-Functional Leadership and Collaboration- 15% Work closely with technology, product, and business teams to ensure alignment on data strategy, objectives, and priorities Foster a data-centric culture throughout the organization by promoting the value of data and ensuring collaboration between data teams and business teams Act as the central point of contact for all data-related matters across the enterprise, advising leadership and stakeholders on strategic data decisions and providing thought leadership on emerging data trends and technologies SECONDARY FUNCTIONS (IF APPLICABLE) May work on special projects or other duties as assigned SUPERVISORY/BUDGETARY/EXTERNAL COMMUNICATION RESPONSIBILITY Manages a team of direct reports Communicates with external vendors and service providers Leads the department budgeting process QUALIFICATIONS - EDUCATION, WORK EXPERIENCE, CERTIFICATIONS Bachelor's degree in data science, business, or a related field required 15+ years in data leadership roles Proven success in building and scaling data platforms and teams Expertise in cloud data architecture (AWS, Azure, GCP), data lakes, and modern data stacks Previous experience with data product development and monetization KNOWLEDGE, SKILLS, AND ABILITIES Ability to adhere to and exhibit the Company Values at all times Excellent communication and stakeholder management skills Ability to effectively manage multiple competing priorities in a fast-paced environment Ability to build strong business relationships at all levels Strong organizational and time management skills Ability to work independently and collaboratively Solid critical thinking and creative problem-solving skills Ability to consistently meet goals, commitments, and deadlines Ability to work with sensitive information and maintain confidentiality KEY COMPETENCIES REQUIRED Builds Networks Communicates Effectively Delegates Effectively Develops Self & Others Drives Engagement Drives Vision and Purpose Strategic Mindset Technical Skills PHYSICAL, MENTAL, WORKING CONDITION, AND TRAVEL REQUIREMENTS Typical office environment - sedentary with typing, writing, reading requirements. May be able to sit or stand. Speaking, reading, writing, ability to use a telephone and computer Ability to exert up to 10 lbs. of force occasionally Ability to interpret various instructions Ability to deal with a variety of variables under only limited standardization What is in it for you Company-paid benefits (Basic Life and AD&D, Short and Long-Term Disability, Employee Assistance Program, Compass Health Advocate and Transitions). Healthcare benefit options (Value Plan, High Deductible Plan with HSA, Healthcare FSA, Dependent Care FSA, Prepaid Legal Services, 529 Savings Plan, Pet Insurance). Paid parental leave. Company sponsored 401k plan with company matching. PTO that accrues at a rate of 15 days/year for 1st year and continues to increase with tenure. Tuition reimbursement for continuing education. An opportunity to work at a state-of-the-art facility in Alpharetta which features an on-site daycare and cafeteria, world-class fitness center and wellness clinic. Disclosures Smoking/vaping and the use of tobacco products are prohibited on all Company premises, including indoor and outdoor areas, parking lots, and Company-owned vehicles. As part of our employment process, candidates who receive a conditional offer may be required to undergo pre-employment drug testing. We are an Equal Opportunity Employer and do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, or any other protected status under the law.

Are you ready to turn your classroom knowledge into real-world impact? As a Scientific Writing & Data Analytics Intern, you'll gain hands-on industry experience in scientific communication and data analysis while contributing to projects that help shape the future of personalized medicine. You'll work alongside experts, learn industry tools, and help transform data into insights. ABOUT OUR COMPANY: We work with pharmaceutical leaders and biotech innovators to develop and implement diagnostic tests that make personalized medicine a reality. Our research helps inform treatment decisions, enables clinical trial enrollment, and advances the future of precision healthcare. ABOUT OUR TEAM: We turn complex lab data into clear, useful information for scientists and industry experts. We craft reports that explain research findings, visualize results, and communicate data accurately to support decision-making. You'll be part of a team that bridges the gap between the lab and industry leaders, helping ensure scientific findings are communicated in a compelling and meaningful way. WE ARE SEEKING: Students currently pursuing a degree in life sciences or related field with strong writing skills and problem-solving mindsets who are interested in the process of analyzing and communicating scientific results through written reports. They should be eager to learn and receptive to guidance. INTERNSHIP COMPONENTS: Interact with our team to gain knowledge and experience through guided assignments. Learn the background of immunohistochemistry (IHC) and its use in assay development, validation, and clinical trial testing. Learn the basics of data analysis in Excel including formatting, formulas, graphing, and basic statistics. Learn the basics of tissue histology and pathology to identify tumor cells and perform microscopic imaging using digital software and physical microscopes with cameras and imaging programs. Follow the structure of our scientific reports in Word to compile the Summary, Materials & Methods, Results, Figures, Tables, and Graphs for IHC assay transfer studies between laboratories. Complete necessary requirements for college credit and present culmination of internship experience to the Discovery Scientific Writing & Data Analytics Team. LOCATION & SCHEDULE: Onsite in Newtown, PA Part-time- Approximately 15 hours per week Summer (Early June- Late July) We value diversity of all kinds and are committed to building a diverse and inclusive workplace where we learn from each other. We are an equal opportunity employer and welcome people of all different backgrounds, experiences, and perspectives.

THIS IS NOT A DATA ENGINEERING RELATED POSITION CAI seeks DC Services Electrical Commissioning Engineers with a minimum of five to seven years' experience in Data Center Commissioning to support development and execution of all electrical aspects of commissioning projects. Position Description: This position supports development and execution of all electrical aspects of assigned commissioning projects from initial engagement, design reviews, checklists, safety support, script development, vendor coordination, testing and report development through turn over to the client. The Electrical Commissioning Engineer will support the development of the electrical test schedule, finalize electrical test procedures, review project submittals for consistency with the design intent, basis of design and the owner's project requirements, and maintain project cadence for electrical systems testing and associated Building Automation Systems. The Electrical Commissioning Engineer is to support the planning and execution of commissioning for the electrical infrastructure of the mission critical facility. They will be expected to execute against the project schedule through the coordination of contractors and/or vendors to complete the desired electrical systems testing. CAI DC Electrical Commissioning Engineer will be exposed to cutting edge technologies in the Hyperscale and other spaces. You will have an opportunity to work with recognized subject matter experts allowing YOU to be a key player in bringing data technologies to market. As part of our company culture, we invest in YOUR future, and commit to hands on certifications as well as professional training. Our collaborative culture ensures that our customers benefit from exemplary work across our entire range of professional services. Responsibilities: Support all aspects of safety for all electrical tests. Support complete commissioning and performance acceptance testing of the electrical infrastructure systems. QA/QC of all electrical test procedures. Provide input and insight to the overall commissioning plan. Develop reports for the electrical commissioning engineers and contribute to a daily report to the Commissioning Project Manager. Attend and be an active participant of customer equipment Factory Witness Test Assist with vendor coordination and management. Perform equipment inspection to ensure build adherence to vendor submittal. Provide test documentation that equipment is delivered, installed, and tested correctly and set to function properly for the customer. Support and perform design specification review, manufacturer submittals, one line drawing sets, and project schedule documentation. QA/QC of electrical equipment installation\startup Execute test scripts to confirm equipment and system operation to design specification. Ensure safe work practices are followed by all on commissioning team and customer site. Engage with customers to ensure a positive experience, goals achievement, and schedule adherence. Provide daily reports for electrical commissioning team status. Conduct facility walk downs, turnover, and punch list reviews. General understanding of LEED specifications and requirements. Look for new opportunities for CAI to provide service and value to customer. Duties may be increased as experience and skill allow. Requirements include: Position Requirements: Bachelor's degree or equivalent experience Minimum of five to seven years Data Center Commissioning experience. Knowledge of OSHA and NFPA 70E safety requirements. Good written and spoken communication skills. Ability to read and interpret electrical schematics and specifications. Knowledge of data center design concepts. Knowledge and commissioning experience with Electrical Distribution Switchgear, Substations, Uninterruptable Power Supplies (UPS), Automatic Transfer Switches (ATS), Batteries, Emergency Diesel Generators & Load Banks. Knowledge of power quality analysis. Strong experience with Word, Excel and PowerPoint. Ability to effectively write electrical commissioning scripts, daily reports, and final commissioning reports. Other Requirements: Excellent oral and written English is required Extensive travel may be required (75%) Candidates must have a Passport or the ability to immediately get a Passport. Work under construction site conditions Able to work in the US without sponsorship now or any time in the future. About CAI CAI is a 100% employee-owned company established in 1996, that has grown year over year to more than 800 people worldwide. We provide commissioning, qualification, validation, start-up, project management and consulting services related to operational readiness to FDA regulated and other mission critical industries. Are You Ready? Our approach is simple; we put the client's interests first, we do not stop until it is right, and we will do whatever it takes to get there. As owners of CAI, we are committed to living our Foundational Principles, both professionally and personally: We act with integrity We serve each other We serve society We work for our future With employee ownership, one person's success is everyone's success; we work diligently to accomplish team goals. We place Team Before Self, demonstrate Respect for Others, and possess a can-do attitude. That is how we have grown exponentially. Benefits Our full-time positions offer competitive compensation and benefits which include: up to 15% retirement contribution, 24 days PTO and 5 sick days per year, health insurance at extremely low cost to employee, financial support for both internal and external professional education as well as 70% long term disability paid for by the company. #LI-MV1 #MISSIONCRITICAL $91,300 - $107,300 a year Average salary range, not including benefits or compensatory time and possible discretionary bonuses. CAI Benefits: Comprehensive Health Insurance coverage 24 days of Paid Time Off ESOP/401K - 15% Company Contribution (US Only) Company paid Life Insurance Company paid Long Term Disability We are an equal opportunity employer; we are proud to employ veterans and promote a diverse culture in our workplace. Diversity is a strength for our global company. We pledge that CAI will be operated in a way that is fair and equitable to all - our employees, our customers, and the broader society. This job description is not all inclusive and you may be asked to do other duties. CAI will also consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the FCO. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location : Mohali City : Mohali State : Punjab (IN-PB) Country : India (IN) Requisition Number : 41203 Job Description Business Title Process Executive- Enterprise Data Management (EDM) Global Function Business Services Global Department Enterprise Data Management (EDM) Reporting to Manager- EDM Size of team reporting in and type NA Role Purpose Statement Responsible for validation and maintenance of master data records according to business rules and standards via SAP MDG. Timely Handling and resoution of IDOCs. Assisting Domain Lead/Service Delivery team in Data Cleansing and Quality initiatives This role is viewed as a Data Custodian in the master data management domain for Material, Customer, supplier (any two data types). He will be required to collaborate with an assigned Bunge stakeholder from Business/Region supporting. Main Accountabilities §Experience in executing master data maintenance §Assist Project team in driving Data Quality programs §Data validation and Region exception to business rules and standards §Data cleansing and maintenance §Provide first-level support, training, and communication to Region stakeholders Knowledge and Skills Behavior Improve Bunge's outcomes by making data-driven decisions, keeping the customer at the forefront of all they do, and proactively gaining insight into the global strategy. Collaborate, effectively communicate with others and take initiative to continually develop themselves. Pursue opportunities to solve problems and take action while maintaining the ability to manage work, even in times of challenge or change. Technical §Technical knowledge of SAP master data tables, fields, SAP MDG §Knowledge of Data Management processes and how Master Data affects transactional processing §Understanding of Business process and related business process metrics Education & Experience Education:- Mechanical / Electrical Engineer / B.Tech / Certified in SAP Material Management Experience:- Minimum 2-3 years of data management experience managing Master Data Management processes Minimum 1-2 years of working experience in SAP MDG or SAP MDM Experience in working directly with business clients Able to work in a virtual team which may work across distance (remote), cultures and time zones Bunge (NYSE: BG) is a world leader in sourcing, processing and supplying oilseed and grain products and ingredients. Founded in 1818, Bunge's expansive network feeds and fuels a growing world, creating sustainable products and opportunities for more than 70,000 farmers and the consumers they serve across the globe. The company is headquartered in St. Louis, Missouri and has 25,000 employees worldwide who stand behind more than 350 port terminals, oilseed processing plants, grain facilities, and food and ingredient production and packaging facilities around the world. Bunge is an Equal Opportunity Employer. Veterans/Disabled Job Segment: Data Management, Sustainable Agriculture, ERP, SAP, Electrical Engineering, Data, Agriculture, Technology, Engineering

Healthcare quality is declining and soaring costs are crushing American families and businesses. At Garner, we've developed a revolutionary approach to evaluating doctor performance and a unique incentive model that's reshaping the healthcare economy to ensure everyone can afford high quality care. By providing organizations relief from surging healthcare costs, we've experienced rapid adoption in the market and have more than doubled our revenue annually over the last 5 years, becoming the fastest growing company in our space. To support our continued growth, we're expanding our team by over 50% each year, seeking exceptional talent to shape our unique, award winning culture (for example, USA Today Top Workplaces 2025) designed to cultivate teamwork, trust, autonomy, exceptional results, and individual growth that creates an inflection point in your career. About the role: We're looking for a Staff Data Engineer to join our Data Platform team at a pivotal moment in Garner's growth. As we've more than doubled revenue annually for five consecutive years, our data infrastructure needs have evolved from supporting internal analytics to powering the core algorithms that evaluate doctor performance for millions of healthcare decisions. You'll lead a team of engineers building the data backbone that directly impacts healthcare outcomes. Your team owns the pipelines that process billions of healthcare transactions that help patients find high-quality, affordable care. Your technical leadership will shape how we scale our data platform to support our mission of making quality healthcare accessible to everyone. This role reports to the Director of Data Platform and offers significant ownership over technical strategy, architecture decisions, and team development in a domain that's core to our business success. Where you will work: This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: Shape the technical roadmap and lead architectural decisions for scalable, resilient data infrastructure that supports analytics, external products, and millions of users Design compliant, cost-effective systems that balance performance, maintainability, and rapid feature development in a healthcare setting Build high-impact data platforms, pipelines, and observability tools that ensure HIPAA compliance, governance, and 99.9% uptime for mission-critical systems Partner cross-functionally with Product, Engineering, Data Science, and Research to deliver user-facing features, empower teams with self-service frameworks, and translate technical decisions into business impact Elevate team excellence by mentoring engineers, establishing coding and architectural standards, and fostering a culture of testing, monitoring, and operational rigor Technologies we use: Postgres, Snowflake, Python, AWS, NATS, Terraform, Argo, Stitch, DBT, ElasticSearch, Looker, DuckDB What you will bring to the team: 7+ years of software engineering experience with 3+ years specifically in Data Engineering, including experience leading technical initiatives that directly impacted business metrics Proven track record of building and scaling data platforms that support analytical workloads Experience designing systems that balance competing priorities: performance, cost, compliance, and developer velocity Advanced proficiency in Python and SQL, with experience optimizing complex queries and data transformations at scale Hands-on experience building production ETL/ELT pipelines using tools like Spark, Beam, or AWS Glue that process terabytes of data daily Deep understanding of cloud data architectures, preferably AWS, including experience with Kubernetes for container orchestration Experience with pipeline orchestration tools (Airflow, Argo, Dagster) managing workflows with complex dependencies and SLAs Working knowledge of modern Data Lake formats (Apache Iceberg, Hudi) and data governance tools that ensure data quality and lineage Proficiency with analytics platforms like Snowflake, BigQuery, or Trino for large-scale data processing and performance optimization Experience building data systems in highly regulated environments (HIPAA, GDPR) with strong security and privacy controls Preference for an understanding of data governance frameworks that balance accessibility with compliance requirements Demonstrated success in fast-growing startup environments where you've helped scale both systems and teams Bachelors Degree in Engineering or similar discipline Ability to influence technical decisions across multiple teams and communicate complex architectural concepts to both technical and business stakeholders Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. Compensation Transparency: The target salary range for this position is: $240,000- $260,000. This position is also bonus eligible. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com email domain exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@getgarner.com. Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@getgarner.com.

Senior Data Specialist II Employment Type: Full-Time, Experienced Department: eDiscovery CGS is seeking an experienced Senior Data Specialist II with extensive knowledge of litigation discovery processes to provide assistance in the EDRM workflow for a large Federal agency initiative. CGS brings motivated, highly skilled, and creative people together to solve the government's most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success: Performs file manipulation, loading, conversion services, database indexing, and quality checks of loads. Develops, evaluates and modifies methodologies and procedures for manipulating files for use with COTS products and litigation support applications. Responsible for ensuring that incoming productions are made pursuant to the applicable ESI specifications. Performs advanced tasks related to exporting data from contractor and client databases, including: identifying data for export, confirming redactions and other markups, ensuring that exports comply with applicable ESI specifications, and quality check of exported data. Support client attorneys, investigators, and paralegals by tracking and processing incoming documents, subpoena returns, and data; creating, loading, and managing document review databases; producing documents to opposing parties in litigation; and tracking produced documents. Applications used include Everlaw, Relativity, Eclipse, Trial Director, NUIX, LAW, EZManage, CaseView, Metadata Assistant, Beyond Compare, eScan-IT, CaseMap, TextMap, TimeMap, Camtasia, and other applications as directed, or as required to complete processing. Under guidance from the client attorneys, manages documents and data, including the use of document review tools. Documents and data include physical documents, a wide range of Electronically Stored Information (ESI), discovery, forensic images, subpoena returns, PDF's, audio/video files, pictures, forms, email, and others as required to support the client attorneys. Document review tools include those listed in item Contractor will work with the Litigation Support Manager to ensure that incoming productions are made pursuant to the applicable ESI specifications and when deficiencies are found, provides Litigation Support Manager with detailed notice of deficiencies. Coordinate with the client's Technology Service Center regarding litigation support projects that are outsourced to the client. Contractor will ensure that all exports for productions are made pursuant to applicable ESI specifications and/or the requirement of the requesting party or client personnel using the guidelines utilized by the Litigation Support Unit. Work with Litigation Support Manager and client attorneys when issues may arise in discovery negotiations with defense counsel. Contractor will work with the Litigation Support Specialist in modifying and manipulating files for use with COTS products and litigation support applications. Qualifications: Undergraduate degree preferred-preferably in computer science or related field Requires knowledge of litigation discovery process, and the Electronic Discovery Reference Model (EDRM) workflow. Knowledge of Government's IT environment, including office automation networks, PC and server based applications preferred. Working knowledge of personal computers, including Windows, document review software, and encryption methods. Experience with LAW, IPRO, Relativity or other document processing platform. Familiarity with ICONECT, Relativity, MS Office Suite, and West LiveNote valued. At least two years' experience performing eDiscovery roles including but not limited to electronic files processing (EFP), image and data file conversion, data culling using review tools, quality assurance, database loads and retrieval, and data analysis. Our Commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client's specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we've been growing our government-contracting portfolio, and along the way, we've created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package. Health, Dental, and Vision Life Insurance 401k Flexible Spending Account (Health, Dependent Care, and Commuter) Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: https://cgsfederal.com/join-our-team/ For more information about CGS please visit: https://www.cgsfederal.com or contact: Email: [email protected] #CJ $100,000 - $120,000 a year We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.