Senior data scientist jobs in High Point, NC - 1,639 jobs

A leading financial services company is seeking a Principal Associate, Data Scientist specializing in privacy-preserving machine learning and analytics. In this role, you will leverage advanced technologies to tackle complex business challenges while ensuring data privacy. Candidates should possess a strong background in data analytics, machine learning, and programming with Python. This position is based in McLean, Virginia, offering competitive compensation and opportunities for growth. #J-18808-Ljbffr

**ONLY FROM DMV AREA** Data Science and AI experience is a must • Look for more Data Scientist/ AI/ML Engineering Backgrounds • A lead Data Scientist with understanding of Solution designing can fit for this role • A hands on solution architect with Data Science and AI experience can be a potential fit for this role • I believe being end of the year might be a reason we have not got great candidates thus I am hopeful in January we might see a different variety of people • Not suitable for this role: “Solution Architects” with no data science background” , “Data Architects”, “Cloud Architects”

08-Jan-2026 Sr Data Scientist US Remote 10571BR As the recognized global standard for project-based businesses, Deltek delivers software and information solutions to help organizations achieve their purpose. Our market leadership stems from the work of our diverse employees who are united by a passion for learning, growing and making a difference. At Deltek, we take immense pride in creating a balanced, values-driven environment, where every employee feels included and empowered to do their best work. Our employees put our core values into action daily, creating a one-of-a-kind culture that has been recognized globally. Thanks to our incredible team, Deltek has been named one of America's Best Midsize Employers by Forbes, a Best Place to Work by Glassdoor, a Top Workplace by The Washington Post and a Best Place to Work in Asia by World HRD Congress. ************** Business Summary The Deltek Engineering and Technology team builds best-in-class solutions to delight customers and meet their business needs. We are laser-focused on software design, development, innovation and quality. Our team of experts has the talent, skills and values to deliver products and services that are easy to use, reliable, sustainable and competitive. If you're looking for a safe environment where ideas are welcome, growth is supported and questions are encouraged - consider joining us as we explore the limitless opportunities of the software industry. Position Responsibilities Job Summary As a Sr Data Scientist, you will lead data science initiatives from problem definition through production deployment, driving business impact through advanced analytics and predictive modeling. You will develop and implement predictive models for forecasting, optimization, and risk assessment, leveraging statistical and machine learning techniques. This role requires strong analytical skills, business acumen, and the ability to communicate insights effectively to both technical and non-technical stakeholders. You will mentor junior team members, establish best practices, and partner with engineering teams to ensure seamless model deployment and monitoring. Staying current with industry trends and evaluating new tools and techniques are essential for success in this position. Key Responsibilities Lead data science initiatives from problem definition through production deployment Drive business impact through advanced analytics and predictive modeling Develop predictive models for forecasting, optimization, and risk assessment using statistical and machine learning techniques Design and execute experiments (A/B testing, multivariate testing) to measure feature impact and validate model performance Analyze complex business problems across project management, resource planning, financial forecasting, and operational efficiency domains Develop advanced predictive analytics models for project cost overruns, resource optimization, cash flow prediction, and bid/win probability Communicate insights effectively to technical and non-technical stakeholders, including executives; create compelling visualizations and presentations Mentor junior data scientists and analysts; establish best practices for statistical analysis, model development, and reproducible research Partner with engineering teams to ensure smooth transition of models from research to production; define monitoring metrics and success criteria Stay current with industry trends in data science, ML, and AI; evaluate new techniques and tools for potential application Qualifications Required Qualifications 5-7 years of data science experience with demonstrated business impact through analytics and modeling in enterprise or SaaS environments Strong foundation in statistics, probability, experimental design, hypothesis testing, and regression analysis Proficiency in supervised/unsupervised learning, ensemble methods, time series forecasting, and model evaluation Expert programming skills in Python (pandas, scikit-learn, statsmodels) and SQL; experience with R is a plus Strong skills in creating insightful visualizations using Tableau, Power BI, matplotlib, or Plotly Experience with Spark, distributed computing, or processing large-scale datasets Ability to translate business problems into analytical frameworks; track record of driving measurable business outcomes Excellent presentation skills; ability to explain complex concepts to diverse audiences including senior leadership This position requires US Citizenship Preferred Qualifications Domain expertise in professional services, project-based businesses, government contracting, construction, or architecture/engineering MS/PhD in Statistics, Data Science, Economics, Operations Research, or quantitative field preferred; exceptional BS candidates considered Why Join Deltek? At Deltek, you will be part of a dynamic and innovative team committed to leveraging data science and AI to drive business transformation. Deltek fosters a collaborative culture that values professional growth, flexibility, and continuous learning. You will have the opportunity to work on impactful projects, develop your skills, and contribute to industry-leading solutions. Deltek's advanced AI capabilities empower employees to deliver cutting-edge analytics and insights, making it an ideal environment for data science professionals seeking meaningful career development and the chance to shape the future of enterprise technology. Compensation Info The U.S. salary range for this position is $91,000.00-$160,750.00. This range is subject to change as Deltek takes a number of factors into consideration when determining individual base pay, such as location, job-related knowledge, skills and experience. Certain roles are eligible for additional rewards, including incentive compensation and equity. Benefits and perks listed here may vary depending on the nature of employment with Deltek. Employees have access to healthcare benefits, a 401(k) plan and company match, paid vacation time and holidays, well-living programs, short-term and long-term disability coverage, basic life insurance and tuition reimbursement. Position Type FT Travel Requirements No Compliance Requirements Certain roles may have additional privacy, security and compliance requirements to the extent they support Costpoint GCCM or similar product offerings. EEO Statement Deltek, Inc. is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected veteran status. E-Verify Statement Deltek, Inc., utilizes the E-Verify program with every potential new hire. This makes it possible for us to make certain that every employee who works for Deltek is eligible to work in the United States. To learn more about E-Verify you can call or visit their website by clicking the logo below. E-Verify is a registered trademark of the United States Department of Homeland Security. Applicant Privacy Notice Deltek is committed to the protection and promotion of your privacy. In connection with your application for employment with us at Deltek, it is necessary for us to collect, store and use information about you ("Personal Data") to administer and evaluate your application. We are the "controller" of the Personal Data you provide us and will process any such Personal Data in accordance with applicable law and the statements contained in this Employment Candidate Privacy Notice. Additionally, we have not sold and do not sell Personal Data you provide to us through the job application process.

An established industry player is seeking a seasoned Machine Learning Engineer to join a dynamic team focused on leveraging AI/ML technology for Federal use cases. In this role, you will collaborate with data scientists and engineers to design and develop innovative machine learning models, analyze large datasets, and optimize solutions for performance and scalability. This position offers a unique opportunity to contribute to impactful projects while working with cutting-edge technologies in a supportive environment that values your growth and contributions. If you are passionate about data and problem-solving, this role is perfect for you! #J-18808-Ljbffr

Terms of Employment • W2 Contract-to-Hire, 12 months • This is a hybrid schedule at Reston, VA, Candidates must reside in Maryland, Washington, DC, or Virginia Role Purpose The Lead Data Engineer is responsible for designing, building, deploying, and scaling robust data solutions with a primary focus on the AWS Cloud platform. You will lead a team in transforming the company's data platforms to deliver meaningful, data-driven insights while ensuring high reliability, automation, and performance Core Responsibilities: • Data Integration & Pipeline Leadership (50%): Lead the team to design, implement, and monitor all aspects of Data Integration. Develop and enforce best practices for data management, ensuring optimal performance for complex data pipelines. • AWS Infrastructure & Architecture (10%): Develop and maintain cloud-based infrastructure, including data warehouses (Redshift) and data lakes (S3). Model Data Warehouse solutions specifically tailored for cloud environments. • Engineering Oversight (10%): Oversee the delivery of high-priority engineering initiatives, managing both long-term projects and ad-hoc ELT/ETL activities. • Data Extraction & Transformation (10%): Create sophisticated data collection frameworks for structured and unstructured data. Apply advanced ETL/ELT techniques to connect large, diverse datasets. • Analytics & Quality Control (5%): Execute quantitative analyses to translate data into actionable insights. Design and manage strict quality control procedures across multiple systems. • Professional Development (5%): Maintain state-of-the-art practices by participating in professional societies and benchmarking new technologies. Required Qualifications Education: Bachelor's degree in Computer Science or IT. In lieu of a degree, 4 additional years of relevant experience is required. Experience: At Least 10 years Experience in leading data engineering and cross functional team to implement scalable data platforms for optimal performance. Experience developing and updating ETL/ELT scripts. Hands-on experience with application development, relational database layout, development, data modeling. Data Engineering on AWS platform preferably leveraging S3, Kafka, Redshift and other AWS services., at least 3 years ETL/Data Integration Design and Development experience using Java/Scala, Spark preferably on Cloudera Platform .,couple of projects Knowledge and understanding of SQL ., Expert Strong Java Programming with enterprise scale experience ( using Git,Artifactory and other DevOps tools) Knowledge and understanding of database design and implementation concepts. , Expert Knowledge and understanding of data exchange formats., Expert Knowledge and understanding of data movement concepts, Expert Strong technical and analytical and problem solving skills to troubleshoot to solve a variety of problems., Expert Requires strong organizational and communication skills, written and verbal, with the ability to handle multiple priorities., Expert Able to effectively provide direction to and lead technical teams., Expert nTech is an equal opportunity employer. All offers of employment are contingent upon pre-employment drug and background screenings. Only candidates who meet all of the above client requirements will be contacted by a recruiter.

**Specialty/Competency:** Data, Analytics & AI **Industry/Sector:** Not Applicable **Time Type:** Full time **Travel Requirements:** Up to 80% 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 data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. 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. **Minimum Degree Required** Bachelor's Degree **Minimum Year(s) of Experience** 4 year(s) Demonstrates thorough-level abilities and/or a proven record of success managing the identification and addressing of client needs: + Building of GenAI and AI solutions, including but not limited to analytical model development and implementation, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients + Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of GenAI and AI solution approach + Collaborating with client team to understand their business problem and select the appropriate analytical models and approaches for AI and GenAI use cases + Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds + Processing unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases + Support management of daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; + Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; + Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams; + Structuring, write, communicate and facilitate client presentations; and, + Directing associates through coaching, providing feedback, and guiding work performance. Demonstrates thorough abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: + Managing AI/GenAI application development teams including back-end and front-end integrations + Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); + Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization + Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev + Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms + Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc. Learn more about 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: *********************************** 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: *************************************** 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: ***********************************

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status. Need Help? If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response). Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United States of America) Please review the following job description: Perform sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc.) to provide actionable insights that improve business outcomes and minimize risk. Provide consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics. Lead small projects with manageable risks and resource requirements; play significant roles in larger, more complex initiatives. Act as a resource for teammates with less experience. ESSENTIAL DUTIES AND RESPONSIBILITIES Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time. 1. Perform sophisticated data analytics (encompassing data mining, inferential statistical analysis, and predictive analytics, for example) on structured and unstructured data. Identify actionable insights from various (or multiple) sources of data that measurably improve business outcomes or reduce business risk. 2. Support new, ongoing, and strategic projects and take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome. 3. Extract and evaluate information gathered from multiple sources, resolve data conflicts and customize communication of key data findings, while providing recommendations to diverse audiences. 4. Provide analytical consulting and thought leadership to various business areas and fosters strategic and positive relationship with business partners. 5. Co-design the optimal solutions to solve the complex business problems with advanced data science capabilities to create business value. Emphasize reusability and scalability in all design, development, deployment and mentoring activities through implementing consistent coding standards and best practices, focusing on clarity of communication across stakeholder groups and maintaining rigorous documentation. 6. Exercise sound judgment and foster risk management culture throughout design, development, and deployment practices; partner with cross-functional teams to coordinate rules on data usage; data governance and analytics capabilities; help with the overall risk management for the team. 7. Actively research and advocate adoption of emerging methods and technologies in the data science field, with the eye of continually advancing Truist's capabilities. QUALIFICATIONS Required Qualifications: The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 1. Bachelor's degree in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training 2. Minimum of six years of related experience 3. Demonstrate domain expertise (SME) in one or more areas relevant to banking, financial services, fin-tech, quantitative risk management, and/or financial regulation; this will be demonstrated by several years of career progression in roles of increasing responsibility 4. In-depth knowledge in practices, theories and methodologies associated with the professional discipline such as statistics, programming (such as Python, R, SAS, etc.), machine learning, model development, business information visualization, etc. 5. Ability to maintain a high level of competency in statistical and analytical principles, tools, and techniques 6. Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark 7. Experience in managing multiple projects with tight deadlines in a collaborative environment Preferred Qualifications: 1. Working experience of delivering data integration solutions using ETL tools (like Informatica, Ab initio etc.) and Programming languages (SAS, Python etc.) 2. Working knowledge of Snowflake and deal with heterogeneous data bases like Oracle, Hive, Netezza, DB2 and SQL Server. Master's degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering 3. Ten years of relevant work experience if candidate lacks graduate degree 4. Previous experience in the banking or fin-tech industry 5. Experience working with data science workspace within Adobe Enterprise Platform 6. Experience working with Graph Databases, graph query language, and related algorithms General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work. Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace. EEO is the Law E-Verify IER Right to Work

Ahold Delhaize USA, a division of global food retailer Ahold Delhaize, is part of the U.S. family of brands, which includes five leading omnichannel grocery brands - Food Lion, Giant Food, The GIANT Company, Hannaford and Stop & Shop. Our associates support the brands with a wide range of services, including Finance, Legal, Sustainability, Commercial, Digital and E-commerce, Technology and more. Primary Purpose The Data Engineer IV will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. They will drive our data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They engage through the entire lifecycle of a project from data mapping, data pipelines, data modeling, and finally data consumption. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. They will proactively optimize or even assist with the design of our company's data architecture to support our next generation of products and data initiatives. They will work on various, ambiguous, and complex issues, where analysis of situations or data requires an in- depth evaluation of variable factors, thorough understanding of the business strategy, operations, markets and key stakeholders. Our flexible/ hybrid work schedule includes 3 in-person days at one of our core locations and 2 remote days. Our core office locations include Salisbury, NC , Chicago, IL, Quincy, MA. Applicants must be currently authorized to work in the United States on a full-time basis. Duties and Responsibilities * Creates and approves source to target data mappings for data pipelines and integration activities * Identifies and resolves the impact of proposed application development/enhancements projects * Performs data profiling and process analysis to understand key source systems and uses knowledge of application features and functions to assess scope and impact of business needs * Works with business users to design, develop, test, and implement business intelligence solutions in the Data & Analytics Platform * Assists in assessing alternative software solutions for workability and technical feasibility. * Work closely with business teams in every stage from gathering requirements to closure of project * Work with the key stakeholders to create requirements for each business solution, ensure the requirements are developed in concert with and agreed upon by the business partner, and that the solution delivers the agreed upon business needs * Implement and maintain data governance policies and procedures to ensure data quality, security and compliance * Initiates and leads workstreams for improving way of working in teams, eliminating technical debt and optimizing business processes * Acts as a subject matter expert on technology solution * Responsible for coaching/mentoring/leading junior engineers * Consistently delivers very high-quality work in cross-functional environments - seen as an expert and technical leader among peers * Has a balanced approach to team empowerment and leadership driving successful brainstorming sessions and solid technical conclusions to work approaches while modeling self-accountability, continuous development and team contributions * Remain up to date on emerging technologies and best practices in data engineering. Recommend new approaches to improving data infrastructure * Ensure operational stability of a 24/7/365 grocery retail environment by providing technical support, system monitoring, and issue resolution which may be required during off-hours, weekends, and holidays as needed Qualifications * Bachelors Degree in Computer Science, CIS or related (or equivalent related work experience) * 8 or more years of equivalent experience in relevant job or field of technology * Experience in an advanced role or technical capacity, leading teams directly or indirectly * Experience directly responsible for guiding, training or onboarding team members in relevant technologies, capabilities or skills * Experience with some or all of the following: Databricks, Azure Data Factory, Azure DevOps, TSQL, Python, PySpark, PowerBI, Data Warehouse Concepts Preferred Qualifications * Masters Degree in relevant field of study, Additional trainings or certifications in relevant field of study * 3 or more years experience in Agile teams and Product/Platform based operating model * 3 or more years of experience in leading teams or advancing technical capability in teams * Experience in retail or grocery preferred #DICEJobs #LI-hybrid #LI-SS1 Salary Range: $146,960 - $220,440 Actual compensation offered to a candidate may vary based on their unique qualifications and experience, internal equity, and market conditions. Final compensation decisions will be made in accordance with company policies and applicable laws. At Ahold Delhaize USA, we provide services to one of the largest portfolios of grocery companies in the nation, and we're actively seeking top talent. Our team shares a common motivation to drive change, take ownership and enable our brands to better care for their customers. We thrive on supporting great local grocery brands and their strategies. Our associates are the heartbeat of our organization. We are committed to offering a welcoming work environment where all associates can succeed and thrive. Guided by our values of courage, care, teamwork, integrity (and even a little humor), we are dedicated to being a great place to work. We believe in collaboration, curiosity, and continuous learning in all that we think, create and do. While building a culture where personal and professional growth are just as important as business growth, we invest in our people, empowering them to learn, grow and deliver at all levels of the business.

The Fresh Market & You: Our mission is to make everyday eating extraordinary for our guests. We create a warm, welcoming, memorable experience with exceptional, personal service . We're looking for a new team member who strives for excellence and brings positive energy, commitment, and a “can-do” attitude to work every day . We value teamwork and celebrate our successes as a team and will value your contribution! Added Benefits for choosing The Fresh Market Team: Team member discount up to 40% Health, Dental & Vision insurance available for individual, spouse, partner, and family. And much more! 401K contribution and match for part-time and full-time team members. Personal time off and additional time off purchase plans available About the Position: The Fresh Market currently has an opening for a Data Engineer in our Store Support Center (099). The Data Engineer will be designing, developing, and supporting robust data warehouse systems. Expertise in planning, managing databases, and ensuring efficient data storage, access, and security. Proficient in technical administration for data warehouse development and maintenance, with a focus on coordinating data quality, performance, security, and overall management for organizational needs. What You'll Do: Collaborates with users to design, code, test, debug, and deploy databases that meet requirements and organizational needs. Acts as liaison between information technology and business units. Evaluate new data sources for adherence to the organization's quality standards and ease of integration. Manipulates and combines data from various sources to enlarge and enhance the data warehouse. Performs data extraction, ensures data accuracy, troubleshoots, and resolves bugs during data warehouse operations. Writes queries, stored procedures and functions for database development. Develops strategies for warehouse implementation, data acquisition and access, and data archiving and recovery. Plans and executes data warehouse implementations following system requirements and anticipated usage. Provides technical support and coordination during warehouse design, testing and movement to production. Designs and builds databases for data storage or processing. Evaluates existing database design to determine necessary updates, performance tuning, and integration requirements. Monitors databases' performance, scalability, and security and modifies procedures to optimize database designs. Builds data models and defines the structure, attributes and nomenclature of data elements. Understands and utilizes ETL tools like Informatica and programming languages like Python. Designs and writes code for ETL data solutions. Implements and enforces standards and procedures to ensure data is managed consistently and properly integrated within the warehouse. Ensures sufficient data quality is maintained so that the data can effectively support the business process. Defines data elements and establishes policies and procedures related to the collection and accuracy of data, and performs tests on data systems. Possesses comprehensive knowledge of database technologies and solid coding and computer system skills. Works on projects indpendently with general supervision. Work will be have moderate technicalical complexity. Can communicate facts, policies, and practices related to job area. Qualifications: At a minimum, what you'll need: Bachlors Degree in one of the following disciplines or similar: Computer Science, Database Systems, Information Systems, or equivelent engineering degree. Requires 2 - 5 years of professionsal experience or deemed to possses that level of skill. Collaborate with other technical teams to assist in achievement of team agile sprint goals. Proficiency with the following technologies: SQL Language. Snowflake. (ETL/ELT) Systems. Cloud Data Warehouse Systems. Excellent analytical, conceptual thinking, problem solving, planning, and execution skills. Ability to identify and evaluation new data management technologies and the business benefits. Demonstrated ability to use agile methodology to estimate and plan project outcomes. Ability to drive organizational change and build data capabilities that effectively balance the need to continuously exploit capabilities to optimize operational efficiency with the need to deliver innovative and agile infrastructure. Ability to communicate ideas in both technical in a user-friendly language. Enthusiastic and willing to work in a team-oriented, collaborative Agile SCRUM environment. Strong customer-service orientation and a professional demeanor. Excellent written and oral communication skills. Excellent listening and interpersonal skills. Excellent documentation skills. Highly self-motivated and directed. After hours and Weekend on call support in a rotating manner. Preferred qualifications: Certification in Snowflake, SQL Server, T-SQL. We are proud to be an Equal Opportunity Employer: REASONABLE ACCOMMODATIONS: Consistent with applicable laws, TFM will make reasonable accommodations for qualified applicants and team members, unless doing so would result in an undue hardship to TFM. This guiding principle applies to all aspects of employment, including hiring and job assignment, compensation, discipline, termination, and access to benefits and training. Qualified applicants will receive consideration for employment without regard race, color, creed, religion, age, sex, gender, sexual orientation, gender identity, pregnancy and related medical conditions, national origin, genetic information, uniformed service, veteran status, disability, or any other basis prohibited by federal or state law. The statements in this job description are provided to describe the general nature and level of work expected in this role. While these statements include the essential functions of the job, they are not intended to be a complete list of all responsibilities, duties and skills required. As we work as a team, there may be times team members are needed to perform duties outside of their normal responsibilities based on business needs. #CL-1 #LI-REMOTE

Mastech Digital provides digital and mainstream technology staff as well as Digital Transformation Services for all American Corporations. We are currently seeking a Data Engineer IV for our client in the Retail domain. We value our professionals, providing comprehensive benefits and the opportunity for growth. This is a Contract position, and the client is looking for someone to start immediately. Duration: 6+ Months Contract Location: Remote Salary: $80.00-$85.00/Hourly Role: Data Engineer IV Primary Skills: ETL Role Description: The Data Engineer IV must have 10+ years of experience. For this role, you must be a highly skilled and hands-on Ataccama Implementation Engineer to join the team. The ideal candidate will have broad experience across configurations, connections, and user experience, with a specific focus on supporting Lineage, Data Quality, and Data Catalog. This role requires expertise in implementing and optimizing Ataccama's capabilities to ensure seamless integration and alignment with business needs. Must Haves: * 3 plus years of Ataccama experience * Strong understanding of data catalog, data lineage and data quality. * Ability to implement business requirements Certifications/Degree: * Required Degree in IT field. Key Responsibilities: * Configure and optimize Ataccama ONE modules to meet organizational requirements. * Establish and maintain data connections for effective data processing and integration. * Enhance user experience through customized Ataccama configurations and solutions. * Support and maintain data lineage, data quality, and data catalog functionalities. * Collaborate with cross-functional teams to ensure data governance best practices. * Provide technical leadership and guidance for Ataccama-related implementations. Required Skills and Qualifications: * Proven experience in implementing and configuring Ataccama solutions. * Deep understanding of data governance principles, data quality, and metadata management. * Hands-on experience with data lineage tracking and data catalog management. * Strong problem-solving skills and the ability to troubleshoot integration issues. * Excellent communication and teamwork skills to interact with technical and non-technical stakeholders. Preferred Skills: * Familiarity with data processing pipelines and ETL operations. Additional Technical Requirements: Expertise with the following Ataccama ONE modules is highly desirable: * Metadata Management Module (MMM): Managing data metadata, including definitions, lineage, and quality rules. * Data Processing Module (DPM): Orchestrating data processing tasks between Ataccama modules. * Data Processing Engine (DPE): Performing data extraction, transformation, and loading (ETL) operations. * API Module: Facilitating external system interactions with Ataccama ONE through programmatic access. * Data Governance Suite: Managing data ownership, stewardship, and quality policies. Education: Bachelor's degree Experience: Minimum 10+ years of experience Relocation: This position will not cover relocation expenses Travel: No Local Preferred: Yes Note: Must be able to work on a W2 basis (No C2C) Recruiter Name: Usha Devi Recruiter Phone: ************ Benefits: We have various coverages and additional benefits to choose from: * Medical, Dental (Including Ortho) & Vision Insurance (Option to Enroll). * Paid Leaves (Wherever applicable). * Life & Disability Coverage (Upon eligibility). * 401K Option, Education Assistance Program and more. Mastech Digital is an Equal Opportunity Employer - All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

By joining Sedgwick, you'll be part of something truly meaningful. It's what our 33,000 colleagues do every day for people around the world who are facing the unexpected. We invite you to grow your career with us, experience our caring culture, and enjoy work-life balance. Here, there's no limit to what you can achieve. Newsweek Recognizes Sedgwick as America's Greatest Workplaces National Top Companies Certified as a Great Place to Work Fortune Best Workplaces in Financial Services & Insurance Data Analyst Sr **PRIMARY PURPOSE OF THE ROLE** : To create comprehensive reporting and analysis of statistical data; to monitor data for processing and procedures issues; and to support performance initiative by providing technical support and training to colleagues. **ARE YOU AN IDEAL CANDIDATE?** We are looking for enthusiastic candidates who thrive in a collaborative environment, who are driven to deliver great work, are customer-oriented and are naturally empathetic. **ESSENTIAL RESPONSIBLITIES MAY INCLUDE** + Compiles data; prepares and distributes reports; and analyzes results. + Assists in efficient and effective program management; identifies poor work quality and cost effectiveness trends; and works with appropriate staff in analyzing and compiling data from technical reviews, as applicable. + Provides training and coaching on processing and procedures issues. + Provides analysis and reporting of trends. + Ensures data integrity; develops and produces reports utilized in measuring data accuracy. + May assist in the completion of appropriate client set-up and maintenance (parameter) forms. + Extracts data and analyzes information based on plan and jurisdictional requirements. + Gathers and prepares statistical data for reporting; makes recommendations to management for training needs. + May analyze data for cause and effect ratios, return-to-work and accommodations trending, disability durations, injury by job type analysis, disability diagnosis trending, etc. + Presents results to client and/or management. + Performs other duties as assigned. + Supports the organization's quality program(s). + Travels as required. **QUALIFICATIONS** Bachelor's degree with major in Computer Science, Finance or Economics from an accredited college or university preferred. Six (6) years of related experience or equivalent combination of education and experience required. Three (3) years of query and report writing strongly preferred. Skills & Knowledge + **Python, SQL, Snowflake** + **DBT** (Data Build Tool) or similar ETL pipeline development tool experience like Informatica PowerCenter, Talend, Pentaho, SSIS + Thorough knowledge of query and report writing + Excellent oral and written communication, including presentation skills + PC literate, including Microsoft Office products + Analytical and interpretive skills + Strong organizational skills + Excellent interpersonal skills + Ability to work in a team environment + Ability to meet or exceed Performance Competencies **TAKING CARE OF YOU** + Career development and promotional growth opportunities. + A diverse and comprehensive benefits offering including medical, dental vision, 401k, PTO and more. \#IT \#informationtechnology Work environment requirements for entry-level opportunities include - Physical: Computer keyboarding Auditory/visual: Hearing, vision and talking Mental: Clear and conceptual thinking ability; excellent judgement and discretion; ability to meet deadlines The statements contained in this document are intended to describe the general nature and level of work being performed by a colleague assigned to this description. They are not intended to constitute a comprehensive list of functions, duties, or local variances. Sedgwick retains the discretion to add or to change the duties of the position at any time. Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace. **If you're excited about this role but your experience doesn't align perfectly with every qualification in the , consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. You may be just the right candidate for this or other roles.** Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace. **If you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. You may be just the right candidate for this or other roles.** **Sedgwick is the world's leading risk and claims administration partner, which helps clients thrive by navigating the unexpected. The company's expertise, combined with the most advanced AI-enabled technology available, sets the standard for solutions in claims administration, loss adjusting, benefits administration, and product recall. With over 33,000 colleagues and 10,000 clients across 80 countries, Sedgwick provides unmatched perspective, caring that counts, and solutions for the rapidly changing and complex risk landscape. For more, see** **sedgwick.com**

The Data Architect Senior manages the development and implementation of organization-wide strategies for data storage, security, regulations and management to meet technical and business goals. Working under minimal supervision, the Data Architect Senior manages the projects and processes that revolve around the design and storage of databases to store and process confidential and sensitive data. Essential Job Function * Reviews data warehouses and data analytics systems to ensure they are functioning properly and are not susceptible to security breaches. * Develops strategies for data acquisition, data access, data archiving, and data recovery in order to create optimal data processes for both the organization and the users. * Examines data models and defines the structure, attributes, and nomenclature of data elements to enhance current systems. * Evaluates new data sources to ensure adherence to the organization's quality standards and policies. * Optimizes overall data and information flow by reducing redundancy and ensuring accessibility to improve efficiency. * Reviews new data sources to stay informed of industry trends and new emerging data storage and maintenance methodologies. * Performs other duties as assigned. Education * Required: Bachelor's Degree Experience * Required: 6 years Licensure/Certification/Listing

OpsVeda is an advanced operations management platform that leverages emerging technologies to deliver digital transformation initiatives with measurable KPIs, benefits and returns. Our mission is to make customer operations immensely agile and profitable by empowering our customers with self-serve advanced operational intelligence, AI and ML-infused decision automation, and RPA capabilities. We are looking for experienced Senior Data Analysts for our Customer Success team who is focused on making technology "easy" and "frictionless" for our customers, their partners and employees. The objective of each OpsVeda customer success team member is to: * Closely partner with customers to identify, prioritize and solve their biggest business challenges. * Improve decision-making and operation management capability for customers by leveraging data science models, techniques and tools. * Maximize value of their OpsVeda investment by expanding usage across all business operations and stakeholders. This role presents an excellent opportunity to be at the forefront of the customer experience transformation at an industry-leading software company. A successful applicant has a background executing projects implementing customer-facing technology, ideally as a Data Analyst with a consulting company or a technical solution architect role within CPG, F&B, Fashion, Hi-Tech or Manufacturing industries. YOUR ROLE AND RESPONSIBILITIES As a Senior Data Analyst, you will be * Partnering with the assigned business, systems analysts and customer teams to solve business problems. * Preparing, analyzing, and understanding data to deliver insight, predict emerging trends, and provide recommendations to optimize results. * Use various data (structured, unstructured), analytics, AI tools, and programming languages, using cloud infrastructure to handle the volume and veracity of data streams. * Armed with business acumen, data & modeling expertise, and analytic results, to effectively communicate findings, conclusions and recommendations to business leaders and stakeholders. * Play a significant role in implementation of the recommended business optimization and process automation solutions leveraging OpsVeda platform. * Providing customer feedback and requests for improvements as relevant to the product team * Always innovating and striving to grow into OpsVeda Data Scientist role WHO YOU ARE? * You possess demonstrated skills in analyzing data and translating them into actionable insights. * You have experience implementing and validating predictive models. * You can create and maintain statistical models focusing on business challenges within the supply chain and business operations domain. * You have expertise in using statistical concepts such as regression, time series, mixed model, Bayesian methods, and Clustering, to analyze data and provide insights. * You have good hands-on exposure to writing relational table queries. * You can identify, retrieve, manipulate, relate and exploit multiple structured and unstructured data sets from various sources, including building or generating new data sets as appropriate. * You create and present materials on data projects, data science architecture, and analytics strategies. * You are passionate about learning supply chain analytics and operational intelligence, data visualization & analysis, and use of AI, ML and RPA tools. * You are result-oriented and can work independently in a fast-paced environment. * You possess knowledge of business fundamentals and an appetite for hands-on learning new technologies, systems and implementing predictive analytics and prescriptive actions to improve customer business outcomes. * You will team up with business/systems analysts to design, configure and develop OpsVeda storyboards with actionable insights and collaborative workflow capability, predictive exceptions, alerts, KPIs, business metrics and trends. * Use data sets to create valuable and actionable visualizations for leadership and analysts * Excellent team working and communication (verbal & written) skills, "can do" attitude, and a great teammate in a global environment. * Have collaboration skills to work with diverse internal/external customers and teams. YOUR QUALIFICATIONS * Bachelor's degree or master's degree in Computer Science, Data Science or related fields * Preferably 3-5 years of experience * You can debug, troubleshoot, design, and implement solutions to complex technical issues. * You have a knack for analytics and solving problems using data. * You have hands-on skill and experience in programming languages used in Data Science applications (such as R, Python, Scala and Java) * You have intermediate to advanced knowledge of statistical concepts such as probability theory and hypothesis testing. The position offers a competitive base salary with generous bonus linked to performance. If the above describes you, send your CV to ****************.

The Data Loss Prevention (DLP) Engineer is a member of the Security Operations Center (SOC) team responsible for implementing and operating Inmar's data loss prevention program. This role focuses on protecting sensitive data from unauthorized disclosure, exfiltration, or misuse through the deployment and tuning of DLP technologies across endpoints, networks, and cloud services. The DLP Engineer designs and implements detection rules, analyzes DLP alerts and events, maintains complex detection patterns (primarily regex-based), and works closely with data owners and business stakeholders to balance data security with operational needs. The incumbent must possess strong technical skills in pattern matching, data classification, and security policy enforcement, combined with the ability to investigate and remediate potential data exposure incidents. The candidate must have a service-oriented mentality with strong communication skills to work with business units on data handling practices, a keen eye for false positive reduction, and the ability to continuously refine detection logic to improve accuracy while minimizing disruption to legitimate business activities. Primary Accountabilities: Technical (70%) Design, implement, and maintain DLP policies across endpoint, network, email, and cloud platforms to prevent unauthorized data disclosure. Develop and maintain complex detection patterns using regular expressions (regex), keyword matching, file fingerprinting, and metadata-based rules for identifying sensitive data (PII, PHI, PCI, intellectual property, etc.). Configure and tune DLP rules to detect sensitive data across structured and unstructured formats including documents, databases, emails, web traffic, and cloud storage. Continuously optimize detection accuracy by reducing false positives while maintaining effective coverage of true data exposure risks. Monitor, analyze, and investigate DLP alerts and events to determine if they represent genuine data exposure risks or false positives. Conduct detailed analysis of flagged events including reviewing content snippets, user behavior patterns, file metadata, and transmission channels. Correlate DLP events with other security data sources (SIEM, endpoint detection, user behavior analytics) to identify potential insider threats or data exfiltration attempts. Document investigation findings and provide clear recommendations on incident severity, required remediation actions, and policy adjustments. Escalate confirmed data exposure incidents to the incident response team and support forensic investigations as needed. Engage with engineering teams to maintain and optimize DLP infrastructure including agents, network sensors, cloud connectors, and management consoles. Develop and maintain automated workflows for alert triage, policy updates, and reporting. Create and maintain comprehensive documentation of DLP policies, detection patterns, investigation procedures, and operational runbooks. Test new DLP rules and policies in non-production environments before deployment to minimize business disruption. Integrate DLP systems with other security tools including SIEM, SOAR, ticketing systems, and data classification platforms. Strategic (20%) Research and evaluate new DLP technologies, detection techniques, and data classification methodologies to enhance program effectiveness. Identify gaps in data visibility and coverage, recommending expansion of DLP controls to new data repositories, communication channels, or cloud services. Develop metrics and KPIs to measure DLP program effectiveness including policy coverage, detection accuracy, incident response times, and false positive rates. Provide regular reporting on DLP trends, top data exposure risks, user behavior patterns, and policy effectiveness to SOC management and stakeholders. Collaborate with legal, compliance, privacy, HR, and business units to understand data handling requirements and ensure DLP policies support business operations. Provide guidance to business teams on secure data handling practices and acceptable use of sensitive information. Support privacy and compliance teams with DLP controls for regulatory requirements (GDPR, CCPA, HIPAA, PCI-DSS, etc.). Participate in data classification initiatives to ensure consistent labeling and handling of sensitive information. Contribute to the strategic development and maturation of the organizations DLP program aligned with data protection objectives and regulatory requirements. Operational (10%) Participate in security awareness initiatives by providing real-world examples of data exposure risks and best practices. Maintain knowledge of data protection regulations, industry best practices, and emerging data exfiltration techniques. Support audit and compliance activities by providing DLP policy documentation, configuration details, and evidence of monitoring. Contribute to change management processes for DLP policy updates and system modifications. Success in this role is measured by improved detection accuracy, reduced false positives, timely investigation of DLP alerts, and increased visibility into sensitive data movement across the organization. Operate within SOC workflows, SLAs, and escalation paths for data exposure incidents. Support incident response activities related to data exposure or insider threat investigations. Required Qualifications: Bachelor degree in Computer Science, Information Security, Information Technology, or related field. 3-5 years of experience in cybersecurity with at least 2 years focused on data loss prevention, data security, or security operations. Strong proficiency in regular expressions (regex) for pattern matching and data identification. Experience with enterprise DLP solutions. Understanding of data classification frameworks and sensitive data types (PII, PHI, PCI, trade secrets, intellectual property). Knowledge of data transmission protocols and common data exfiltration channels (email, web uploads, removable media, cloud storage, messaging platforms). Strong analytical skills with ability to investigate security events and distinguish true positives from false positives. Experience with SIEM platforms and security event correlation. Basic Proficiency with scripting or automation (Python, PowerShell, or similar) for data analysis and workflow automation. Excellent written and verbal communication skills with ability to explain technical findings to non-technical stakeholders. Understanding of data privacy regulations such as GDPR, CCPA, HIPAA, and PCI-DSS. Preferred Qualifications: Experience with cloud DLP solutions for Microsoft 365, Google Workspace, AWS, or Azure environments. Knowledge of insider threat detection methodologies and user behavior analytics (UBA/UEBA). Experience with data classification tools and automated content inspection technologies. Understanding of endpoint security controls and endpoint DLP deployment models. Familiarity with SOAR platforms and automated response workflows. Experience with forensic analysis of data exposure incidents. Knowledge of cryptography and encryption technologies for data protection Certifications such as CISSP, Security+, CEH, GCFA, or vendor-specific DLP certifications. Individual Competencies: Integrity: Gains the trust of others by taking responsibility for own actions and telling the truth. Follows through on commitments and agreements; Respects confidentiality; Maintains confidentiality regardless of pressure from others. Teamwork: Builds relationships and works cooperatively with others, inside and outside the organization, to accomplish objectives to build and maintain mutually beneficial partnerships, leverage information and achieve results. Adaptable: Responds to change with a willingness to learn new ways to accomplish work objectives with a positive attitude. Innovative: Ability to develop, sponsor, or support the introduction of new and improved methods, products, procedures or technologies. Analytical and Critical Thinking: Ability to tackle a problem by using a logical, systematic, sequential approach. Communication: Giving and receiving messages and information in written, oral, and visual formats concisely for a complete understanding of meaning and intent. The physical demands described here are representative of those that must be met by an associate to successfully perform the major job responsibilities (essential functions) of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the major job responsibilities. This job description is not intended to be an exhaustive list of all duties, responsibilities, or qualifications associated with the job. Duties responsibilities and activities may change, or new ones may be assigned at any time with or without notice. While performing the duties of this job, the associate is: Occasionally stand, kneel or stoop, and lift and/or move up to 15 pounds. Regularly view items at an extremely close range and must be able to adjust and readjust focus. Occasionally remain in a stationary position. Regularly use hands to finger, handle or feel objects, tools or controls, and reach with hands or arms. Regularly required to talk or hear and read instructions on a computer monitor and/or printed on paper. As an Inmar Associate, you: Put clients first and consistently display a positive attitude and behaviors that demonstrate an awareness and willingness to listen and respond to clients in order to meet their short-term and long-term needs, requirements and exceed their expectations. Treat clients and teammates with courtesy, consideration and tact; perceive the needs of internal and external clients and communicate effectively with the objective of delighting and retaining the client. Build collaborative relationships and work cooperatively with others, inside and outside the organization, to accomplish objectives, develop and maintain mutually beneficial partnerships, leverage information and achieve results. Set and attain achievable, yet aggressive, goals with a sense of urgency and accountability. Understand that results are important and focus on turning mission into action to achieve results following the principles of agile, dynamic execution while consistently complying with quality, service and productivity standards to meet deadlines and exceed expectations by giving our clients the best possible outcome. Support a safe work environment by following safety rules and regulations and reporting all safety hazards. Occasionally: Job requires this activity up to 33% of the time Frequently: Job requires this activity between 33% - 66% of the time Regularly: Job requires this activity more At Inmar, we put people first and that means empowering our associates to thrive at every stage of life and career. Our comprehensive and competitive benefits package is thoughtfully designed to support a wide range of lifestyles and life stages. Eligible associates have access to: Medical, Dental, and Vision insurance Basic and Supplemental Life Insurance options 401(k) retirement plans with company match Health Spending Accounts (HSA/FSA) We also offer: Flexible time off and 11 paid holidays Family-building benefits, including Maternity, Adoption, and Parental Leave Tuition Reimbursement and certification support, reflecting our commitment to lifelong learning Wellness and Mental Health counseling services Concierge and work/life support resources Adoption Assistance Reimbursement Perks and discount programs Please note that eligibility for some benefits may depend on your job classification and length of employment. Benefits are subject to change and may be governed by specific plan or program terms. At Inmar, compensation reflects our belief in integrity, transparency, and the value of individual contributions. The hiring range for this position is: 91,364.63 - 152,274.38 USD Annual The final offer may vary based on factors such as geographic location, job-related skills, education, certifications, work experience, and other relevant considerations. Depending on the job level and role, it may include: Annual discretionary bonuses through our Core Company Performance Bonus Plan Equity grants, sign-on bonuses, and other tailored incentive opportunities Additional discretionary compensation, such as: Growing Revenue Incentives Corporate or VIP Bonuses Deferred compensation opportunities The actual annualized salary offered at the time of hire will be communicated in the candidate's offer letter. We remain committed to fairness and transparency across all locations. Where required, including for remote-eligible roles, local pay ranges are disclosed in accordance with applicable laws and regulations. We are an Equal Opportunity Employer, including disability/vets. Recruitment Fraud Notice: Recruitment fraud is an increasingly common scam where individuals pose as employers to offer fictitious job opportunities. Scammers sometimes impersonate Inmar recruiters on LinkedIn and other channels. We will never ask for payment or sensitive personal information during the hiring process. Verify any role on our official Workday Careers site and learn how to spot scams in our full notice. This position is not eligible for student visa sponsorship, including F-1 OPT or CPT. Candidates must have authorization to work in the U.S. without the need for employer sponsorship now or in the future.

Join The #1 Furniture Company-Join The #1 Furniture Brand Ashley Furniture Industries, Inc. is the largest manufacturer of furniture in the world. Established in 1945, Ashley offers one of the industry's broadest product assortments to retail partners in 123 countries. Summary Data Pipeline Development * Design, develop, and maintain robust ETL/ELT pipelines for real-time and batch data processing * Build automated data ingestion workflows from various sources including APIs, databases, flat files, and streaming platforms * Implement data transformation logic to cleanse, validate, and enrich raw data * Optimize pipeline performance for high-volume data processing * Develop monitoring and alerting systems for pipeline health and data quality Infrastructure & Architecture * Design and implement scalable data warehouse and data lake architectures * Build and maintain cloud-based data storage solutions using modern platforms (AWS, Azure, GCP) * Implement data partitioning, indexing, and compression strategies for optimal performance * Design disaster recovery and backup strategies for critical data systems * Evaluate and integrate new technologies to improve data infrastructure capabilities Data Management & Governance * Design, Develop and Maintain Data Models * Implement data quality frameworks and validation rules * Establish data lineage tracking and metadata management systems * Ensure compliance with data privacy regulations (GDPR, CCPA, etc.) * Develop and maintain data documentation and schema definitions * Implement security measures including encryption, access controls, and audit logging Collaboration & Support * Partner with data scientists, analysts, and business stakeholders to understand requirements * Provide technical guidance on data architecture and best practices * Support ad-hoc data requests and troubleshoot data-related issues * Mentor junior team members and participate in code reviews * Collaborate with DevOps teams to implement CI/CD practices for data workflows Performance & Optimization * Monitor system performance and identify bottlenecks in data processing * Optimize database queries and data models for improved efficiency * Implement caching strategies and data compression techniques * Conduct capacity planning for growing data volumes * Troubleshoot and resolve production data issues Apply today and find your home at Ashley! Benefits We Offer * Health, Dental, Vision, Employee Assistance Program * Paid Vacation, Holidays, and Your Birthday off * Generous Employee Discount on home furnishings * Professional Development Opportunities * Ashley Wellness Centers (location specific) and Medical Tourism * Telehealth * 401(k) and Profit Sharing * Life Insurance Our Core Values * Honesty & Integrity * Passion, Drive, Discipline * Continuous Improvement/Operational Excellence * Dirty Fingernail * Growth Focused To learn more about Ashley Furniture, our community engagement programs, environmental stewardship, and our core values, please visit our Corporate Social Responsibility information page: Corporate Social Responsibility We are an equal opportunity employer and provide a drug-free working environment. While Ashley appreciates the interest of all candidates only those meeting specific position requirements may be contacted. Principals Only.

A leading financial services company is seeking a Principal Associate, Data Scientist to join their innovative AI Foundations team in McLean, Virginia. This role involves building and deploying advanced AI/ML solutions, collaborating with diverse teams, and transforming complex data insights into actionable business strategies. Candidates should possess a deep understanding of data analytics and machine learning technologies, with a strong emphasis on customer-centric innovations. A Bachelor's degree or higher in a quantitative field is required. #J-18808-Ljbffr

08-Jan-2026 Data Scientist US Remote 10570BR As the recognized global standard for project-based businesses, Deltek delivers software and information solutions to help organizations achieve their purpose. Our market leadership stems from the work of our diverse employees who are united by a passion for learning, growing and making a difference. At Deltek, we take immense pride in creating a balanced, values-driven environment, where every employee feels included and empowered to do their best work. Our employees put our core values into action daily, creating a one-of-a-kind culture that has been recognized globally. Thanks to our incredible team, Deltek has been named one of America's Best Midsize Employers by Forbes, a Best Place to Work by Glassdoor, a Top Workplace by The Washington Post and a Best Place to Work in Asia by World HRD Congress. ************** Business Summary The Deltek Engineering and Technology team builds best-in-class solutions to delight customers and meet their business needs. We are laser-focused on software design, development, innovation and quality. Our team of experts has the talent, skills and values to deliver products and services that are easy to use, reliable, sustainable and competitive. If you're looking for a safe environment where ideas are welcome, growth is supported and questions are encouraged - consider joining us as we explore the limitless opportunities of the software industry. Position Responsibilities Job Summary As a Data Scientist at Deltek, you will leverage advanced analytics and machine learning techniques to solve complex business challenges. You will work with large, diverse datasets to uncover actionable insights, build predictive models, and communicate findings through compelling visualizations and reports. This role requires strong technical expertise, a collaborative mindset, and the ability to translate data-driven results into strategic recommendations for stakeholders. Key Responsibilities: Build predictive models using classification, regression, clustering, and time series techniques to address business needs. Perform exploratory data analysis to identify patterns, anomalies, and insights in large datasets from multiple sources. Create features from structured and unstructured data; apply feature engineering to enhance model performance. Develop and validate models using train/test splits, cross-validation, and appropriate evaluation metrics. Conduct A/B tests and analyze experiments to measure the impact of product changes or new features. Build dashboards and reports to communicate findings; create data visualizations that tell compelling stories. Collaborate with data engineers on data pipeline requirements to ensure data quality and availability. Document analyses thoroughly, including methodology, assumptions, and limitations to ensure reproducibility. Support production models by monitoring performance, investigating issues, and recommending improvements. Qualifications Required Qualifications: 3-5 years of hands-on data science experience, including model building and statistical analysis. Strong understanding of hypothesis testing, regression, classification, and clustering methods. Proficiency in Python (pandas, scikit-learn, matplotlib/seaborn) and SQL. Practical experience building and evaluating predictive models; familiarity with common algorithms. Ability to clean, transform, and prepare real-world data for analysis. Experience creating visualizations and dashboards using Tableau, Power BI, or Python libraries. Ability to present findings clearly to both technical and business audiences. Experience with Jupyter notebooks, Git, and collaborative data science workflows. Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field. This position requires US Citizenship Preferred Qualifications: Master's degree in a relevant field. Exposure to NLP, recommendation systems, or optimization problems. Experience with cloud platforms such as AWS, Azure, or OCI. Why Join Deltek? At Deltek, you will be part of a forward-thinking team that values innovation, collaboration, and continuous learning. Our company culture fosters professional growth and encourages creative problem-solving. You will have the opportunity to work on impactful projects, leverage cutting-edge AI capabilities, and contribute to a dynamic environment where your expertise is valued. Deltek's commitment to flexibility, development opportunities, and advanced technology makes it an ideal place for data science professionals to thrive. Compensation Info The U.S. salary range for this position is $76,000.00-$134,000.00. This range is subject to change as Deltek takes a number of factors into consideration when determining individual base pay, such as location, job-related knowledge, skills and experience. Certain roles are eligible for additional rewards, including incentive compensation and equity. Benefits and perks listed here may vary depending on the nature of employment with Deltek. Employees have access to healthcare benefits, a 401(k) plan and company match, paid vacation time and holidays, well-living programs, short-term and long-term disability coverage, basic life insurance and tuition reimbursement. Position Type FT Travel Requirements No Compliance Requirements Certain roles may have additional privacy, security and compliance requirements to the extent they support Costpoint GCCM or similar product offerings. EEO Statement Deltek, Inc. is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected veteran status. E-Verify Statement Deltek, Inc., utilizes the E-Verify program with every potential new hire. This makes it possible for us to make certain that every employee who works for Deltek is eligible to work in the United States. To learn more about E-Verify you can call or visit their website by clicking the logo below. E-Verify is a registered trademark of the United States Department of Homeland Security. Applicant Privacy Notice Deltek is committed to the protection and promotion of your privacy. In connection with your application for employment with us at Deltek, it is necessary for us to collect, store and use information about you ("Personal Data") to administer and evaluate your application. We are the "controller" of the Personal Data you provide us and will process any such Personal Data in accordance with applicable law and the statements contained in this Employment Candidate Privacy Notice. Additionally, we have not sold and do not sell Personal Data you provide to us through the job application process.

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate 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 data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. 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. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 4 year(s) Demonstrates thorough-level abilities and/or a proven record of success managing the identification and addressing of client needs: * Building of GenAI and AI solutions, including but not limited to analytical model development and implementation, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients * Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of GenAI and AI solution approach * Collaborating with client team to understand their business problem and select the appropriate analytical models and approaches for AI and GenAI use cases * Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds * Processing unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases * Support management of daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; * Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; * Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams; * Structuring, write, communicate and facilitate client presentations; and, * Directing associates through coaching, providing feedback, and guiding work performance. Demonstrates thorough abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: * Managing AI/GenAI application development teams including back-end and front-end integrations * Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); * Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization * Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev * Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms * Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc. Travel Requirements Up to 80% Job Posting End Date Learn more about 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: *********************************** 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: *************************************** 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: ***********************************

Ahold Delhaize USA, a division of global food retailer Ahold Delhaize, is part of the U.S. family of brands, which includes five leading omnichannel grocery brands - Food Lion, Giant Food, The GIANT Company, Hannaford and Stop & Shop. Our associates support the brands with a wide range of services, including Finance, Legal, Sustainability, Commercial, Digital and E-commerce, Technology and more. Primary Purpose: The Data Engineer II contributes to the expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. They will contribute to our data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They engage through the entire lifecycle of a project from data mapping, data pipelines, data modeling, and finally data consumption. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. They will learn to optimize or even re-design our company's data architecture to support our next generation of products and data initiatives. They can take on smaller projects from start to finish, work on problems of moderate scope where analysis of situations or data requires a review of a variety of factors and trace issues to their source. They develop solutions to a variety of problems of moderate scope and complexity. Our flexible/ hybrid work schedule includes 3 in-person days at one of our core locations and 2 remote days. Our core office locations include Salisbury, NC, Chicago, IL, and Quincy, MA. Applicants must be currently authorized to work in the United States on a full-time basis. Duties & Responsibilities: * Solves simple to moderate application errors, resolves application problems, following up promptly with all appropriate customers and IT personnel. * Reviews and contributes to QA test plans and supports QA team during test execution. * Participates in developing streaming data applications (Kafka), data transformation and data pipelines. * Ensures change control and change management procedures are followed within the program/project as they relate to requirements. * Able to interpret requirement documents, contributes to creating functional design documents as a part of data development life cycle. * Documents all phases of work including gathering requirements, architectural diagrams, and other program technical specifications using current specified design standards for new or revised solutions. * Relates information from various sources to draw logical conclusions. * Conducts unit testing on data streams. * Conducts data lineage and impact analysis as a part of the change management process. * Conducts data analysis (SQL, Excel, Data Discovery, etc.) on legacy systems and new data sources. * Creates source to target data mappings for data pipelines and integration activities. * Assists in identifying the impact of proposed application development/enhancements projects. * Performs data profiling and process analysis to understand key source systems and uses knowledge of application features and functions to assess scope and impact of business needs. * Implement and maintain data governance policies and procedures to ensure data quality, security and compliance * Ensure operational stability of a 24/7/365 grocery retail environment by providing technical support, system monitoring, and issue resolution which may be required during off-hours, weekends, and holidays as needed. Qualifications: * Bachelors Degree in Computer Science or Technical field; equivalent trainings/certifications/experience equivalency will be considered * 3 or more years of equivalent experience in relevant job or field of technology Preferred Qualifications: * Masters Degree in relevant field of study preferred, Additional trainings or certifications in relevant field of study preferred * Experience in Agile teams and or Product/Platform based operating model. * Experience in retail or grocery preferred. * Experience with Kafka. #DICEJobs #LI-hybrid #LI-SS1 Salary Range: $101,360 - $152,040 Actual compensation offered to a candidate may vary based on their unique qualifications and experience, internal equity, and market conditions. Final compensation decisions will be made in accordance with company policies and applicable laws. At Ahold Delhaize USA, we provide services to one of the largest portfolios of grocery companies in the nation, and we're actively seeking top talent. Our team shares a common motivation to drive change, take ownership and enable our brands to better care for their customers. We thrive on supporting great local grocery brands and their strategies. Our associates are the heartbeat of our organization. We are committed to offering a welcoming work environment where all associates can succeed and thrive. Guided by our values of courage, care, teamwork, integrity (and even a little humor), we are dedicated to being a great place to work. We believe in collaboration, curiosity, and continuous learning in all that we think, create and do. While building a culture where personal and professional growth are just as important as business growth, we invest in our people, empowering them to learn, grow and deliver at all levels of the business.