Data scientist jobs in McKinney, TX - 799 jobs

The Principal Data Consultant works in partnership with Product Management, Sales, Customer Support, Order Management, Data Delivery centers, and other cross-functional groups to define and document requirements for standard and custom data products, and to further provide analytical and liaison support to the delivery of sustainable and streamlined data solutions. The **hybrid-remote** PrincipalData Consultant leverages both data and client knowledge to define and align customer requirements to data extract specifications and deliverables while providing support to account executives and product managers regarding the applicability of CoreLogic data to business use cases.* Facilitate discovery of business requirements from client's perspective, translated into specifications which will deliver the right mix of data elements to enable clients to make timely and insightful decisions* Collaborate with clients and internal stakeholders to ensure data needs are well understood* Gather requirements from internal and external stakeholders to write extract specifications that meet client's needs* Define user stories and requirements and conduct research / analysis in support of developing standardized layouts and packages to meet requirements* Write detailed descriptions of user needs (including acceptance criteria) for the development of custom data extracts, or (preferentially) new standard data products* Validate specifications with internal and external stake-holders to ensure they are consistent with articulated business requirements and deliver the expected results* Coordinate issue resolution across multiple teams* Bachelor's degree in Business Administration, Computer Science, relevant discipline, or equivalent experience.* Typically has 10+ years of Business/Process Analyst or directly related experience in the same or related industry* Excellent written and oral communication skills* Ability to translate business requirements into complete and deliverable specifications·* Excellent organizational and project management and facilitation skills. Ability to prioritize and handle multiple concurrent projects* Excellent interpersonal skills for interacting with/influencing cross-functional teams and gaining consensus. Strong listening and question-based knowledge gathering skills* Ability to synthesize and analyze data from a variety of sources, identify issues, draw conclusions, and craft solutions* Experience working as a member of a distributed team. Ability to organize and coordinate with stakeholders across multiple functions and geographic locations* Domain knowledge covering one or more aspects of the real estate economy (mortgage servicing, property insurance, credit, etc)* Experience authoring SQL queries.* Familiarity with diverse coding, profiling, and visualization approaches including Python, Tableau, and Google Cloud* Extensive knowledge of client base, product, and data offerings* Understanding of Big Data, Cloud, Machine Learning approaches and concepts Cotality is fully committed to a work environment that embraces everyone's unique contributions, experiences and values. We offer an empowered work environment that encourages creativity, initiative and professional growth and provides a competitive salary and benefits package. Please navigate to "location" and filter on desired country under the "locations". ex: United States, Canada, United Kingdom, India# We have some exciting news to share with you, CoreLogic will now be called Cotality! Our new brand reflects our commitment to delivering innovative solutions and building deep relationships.Speaking of fresh starts-if you're thinking about making a change, and you're someone who wants to work for a growing company with a people-first culture which has earned us Great Place to Work recognitions in six countries, apply today!Cotality is an Equal Opportunity employer committed to attracting and retaining the best-qualified people available, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability or status as a veteran of the Armed Forces, or any other basis protected by federal, state or local law. Cotality will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.If you need reasonable accommodation to complete the on-line application, please contact Talent Acquisition at ******************** or **************.Please include the following information in your email:The specific accommodation you're requesting to complete an employment application the position you are applying for (job title and/or job number)********************. Please allow up to three business days to receive a response.Please include the following information in your email:*Your organization's name**Organization's location(s)**Brief description of your need*Cotality is aware of schemes involving fraudulent job postings on third-party employment search sites and/or individual(s) or entities claiming to be employees of Cotality. Those involved are offering fraudulent employment opportunities to applicants, often asking for sensitive personal and financial information. If you believe you have been contacted by anyone misrepresenting themselves as an employee of Cotality or a Cotality recruiter, please contact Cotality at ********************.* Please be advised that all legitimate correspondence from a Cotality employee will come from "@Cotality.com" or "@CoreLogic.com" email accounts.* Cotality will not **interview** candidates via text or email. Our interviews will be conducted by recruiters and leaders via the phone, zoom/teams or in an in-person format.* Cotality will never ask candidates to make any type of personal financial investment related to gaining employment with the Company.Please click to view the Cotality Applicant Privacy Statement.By providing your telephone number, you agree to receive automated (SMS) text messages at that number from Cotality regarding all matters related to your application and, if you are hired, your employment and company business. Message & data rates may apply. You can opt out at any time by responding STOP or UNSUBSCRIBING and will automatically be opted out company-wide. #J-18808-Ljbffr

8+ years (with strong hands-on Azure Data Factory and PL/SQL experience) We are looking for a highly skilled Azure Data Engineer with deep expertise in Azure Data Factory (ADF) and PL/SQL to design, build, optimize enterprise-scale data integration and transformation solutions. The ideal candidate will work closely with business, analytics, and architecture teams to deliver reliable, scalable, and high-performance data pipelines. Design, develop, and maintain ADF pipelines for batch and incremental data loads Implement ETL/ELT workflows using ADF activities such as Copy, Data Flow, Lookup, ForEach, and Web activities Integrate ADF with Azure Data Lake Storage Gen2, Azure Blob Storage, Azure SQL, Synapse Analytics, and on-prem systems Develop and optimize PL/SQL stored procedures, packages, functions, and triggers Write complex SQL queries involving joins, subqueries, analytics functions, and performance tuning Perform query optimization using indexes, execution plans, and partitioning strategies.

This is a Full Time Direct Hire Permanent Role No C2C No Sponsorship We are seeking Data Engineers to support a critical migration project from SQL Server to Azure Synapse Analytics. This role combines data engineering, data analysis, and visualization responsibilities to ensure a smooth transition and optimized data architecture. Key Responsibilities Design, develop, and implement data pipelines to migrate data from SQL Server to Azure Synapse Analytics. Collaborate with stakeholders to understand business requirements and translate them into technical solutions. Optimize data models and queries for performance and scalability in Azure Synapse. Perform data analysis and validation to ensure accuracy and integrity during migration. Develop dashboards and reports using Power BI for business insights. Work with Microsoft Fabric to integrate and manage data workflows. Ensure compliance with data governance and security standards. Required Skills & Qualifications Strong experience with SQL (query optimization, stored procedures). Proficiency in Python for data processing and automation. Hands-on experience with Apache Spark for big data processing. Expertise in Azure Synapse Analytics and familiarity with Microsoft Fabric. Experience building and maintaining Power BI dashboards. Solid understanding of data warehousing concepts and ETL processes. Preferred Qualifications Experience with cloud-based data architecture and migration projects.

Immediate need for a talented Data Engineer. This is a 06+ Months Contract opportunity with long-term potential and is located in Dallas, TX (Hybrid). Please review the job description below and contact me ASAP if you are interested. Job ID:26-00480 Pay Range: $40 - $45/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Responsibilities: Design, develop, and optimize end-to-end data pipelines using Python and PySpark Build and maintain ETL/ELT workflows to process structured and semi-structured data Write complex SQL queries for data transformation, validation, and performance optimization Develop scalable data solutions using Azure services such as Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, and Databricks Ensure data quality, reliability, and performance across data platforms Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements Implement best practices for data governance, security, and compliance Monitor and troubleshoot data pipeline failures and performance issues Support production deployments and ongoing enhancements Key Requirements and Technology Experience: Must have skills: Data Engineer, Azure, Python, PySpark Strong proficiency in SQL for querying and data modeling Hands-on experience with Python for data processing and automation Solid experience using PySpark for distributed data processing Experience working with Microsoft Azure data services Understanding of data warehousing concepts and big data architectures Experience with batch and/or real-time data processing Ability to work independently and within cross-functional teams Experience with Azure Databricks Knowledge of data modelling techniques (star/snowflake schemas) Familiarity with CI/CD pipelines and version control tools (Git) Exposure to data security, access control, and compliance standards Experience with streaming technologies Knowledge of DevOps or DataOps practices Cloud certifications (Azure preferred) Our client is a leading Pharmaceutical Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.

Required Qualifications: 9+ years' experience and hands on with Data Warehousing. 9+ years of hands on ETL (e.g., Informatica/DataStage) experience 3+ years of hands-on Big query 3+ years of hands on GCP 9+ years of Teradata hands on experience 9+ years working in a cross-functional environment. 3+ years of hands-on experience with Google Cloud Platform services like Big Query, Dataflow, Pub/Sub, and Cloud Storage 3+ years of hands-on experience building modern data pipelines with GCP platform 3+ years of experience with Query optimization, data structures, transformation, metadata, dependency, and workload management 3+ years of experience with SQL, NoSQL 3+ years of experience in data engineering with a focus on microservices-based data solutions 3+ years of containerization (Docker, Kubernetes) and CI/CD for data pipeline 3+ years of experience with Python (or a comparable scripting language) 3+ years of experience with Big data and cloud architecture 3+ years of experience with deployment/scaling of apps on containerized environment (Kubernetes,) Excellent oral and written communications skills; ability to interact effectively with all levels within the organization. Working knowledge of AGILE/SDLC methodology Excellent analytical and problem-solving skills. Ability to interact and work effectively with technical & non-technical levels within the organization. Ability to drive clarity of purpose and goals during release and planning activities. Excellent organizational skills including ability to prioritize tasks efficiently with high level of attention to detail.. Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status. Dexian stands at the forefront of Talent + Technology solutions with a presence spanning more than 70 locations worldwide and a team exceeding 10,000 professionals. As one of the largest technology and professional staffing companies and one of the largest minority-owned staffing companies in the United States, Dexian combines over 30 years of industry expertise with cutting-edge technologies to deliver comprehensive global services and support. Dexian connects the right talent and the right technology with the right organizations to deliver trajectory-changing results that help everyone achieve their ambitions and goals. To learn more, please visit ******************** Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.

General Purpose This role oversees and manages the work of Data Engineer who design and develop ETL pipelines and processes in our Cloud Infrastructure. They are responsible for the overall data integrity and quality, pipeline performance, and cost optimization within our Cloud (Azure) infrastructure. Duties and Responsibilities Manages the day-to-day tasks and development work of the Data Engineering team to ensure alignment with objectives and deliverables Conducts continuous evaluation and improvement on the ETL pipelines created by the Data Engineers to ensure cost effectiveness and performance Designs and implement automatic data quality reporting, communicating directly with different stakeholders whenever there are deviations Create and implement technical roadmaps to ensure we have the most up-to-date Cloud infrastructure Ensure technical alignment with the Data Engineering team from HQ. Qualifications Bachelor's degree in computer science, software engineering, information technology, or a related field. Advanced degree is a plus. 3+ years experience in data engineering, including hands-on experience in building and maintaining data pipelines and data infrastructure. 3+ years proven experience leading and managing a team of data engineers, including setting objectives, providing guidance, and assessing performance A strong foundation in data engineering principles, including data integration, ETL (Extract, Transform, Load) processes, data warehousing, and data modeling. Proficiency in programming languages commonly used in data engineering, such as Python, Java, Scala, or SQL. Proficiency with big data technologies and platforms, such as Hadoop, Spark, Apache Kafka, and distributed data processing frameworks. Experience with various database systems, including relational databases (e.g., SQL Server, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra). Proficiency on cloud platforms like Azure, AWS, etc. for data storage and processing. Ability to lead and manage a team of data engineers, including setting objectives, providing guidance, and assessing performance. 30% travel projected Applicants with disabilities may be entitled to reasonable accommodation under the Americans with Disabilities Act and certain Texas or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Coca-Cola Southwest Beverages. Please inform us at if you need assistance completing this application or to otherwise participate in the application process. Know Your Rights dol.gov Coca-Cola Southwest Beverages LLC is an Equal Opportunity Employer and does 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.

Summary/Objective Alliance Technical Group is seeking an experienced Senior Data Engineer to design, build, and optimize the databases and data systems that power our business intelligence and analytics platforms. In this role, you will lead the creation of scalable pipelines, data models, and cloud-based architecture that ensures reliable, high-quality data across the organization. You will architect and implement new database solutions, drive migration and optimization efforts in PostgreSQL and Snowflake, and advance data governance initiatives. Working in an agile, cross-functional environment, you will translate business needs into scalable solutions while ensuring security, integrity, and performance. This role is ideal for someone who thrives on building data platforms from the ground up and shaping enterprise data strategy. This position is remote but may follow a hybrid schedule for candidates located within 60 miles of an Alliance office. Essential Functions Architect and implement new databases and data platforms to meet business and technical requirements Build and maintain scalable ELT/ETL pipelines and data models for analytics and reporting Manage and optimize database environments, including provisioning, performance tuning, and access controls Implement and manage automation and workflow orchestrations for reliable, repeatable deployments Ensure data quality, consistency, and compliance through robust validation and monitoring practices Collaborate with cross-functional teams to define technical requirements, estimate development efforts, and deliver business-aligned solutions Troubleshoot complex issues, recommend improvements, and maintain clear documentation of data systems, processes, and solutions proposed/implemented Mentor junior data engineers, providing technical guidance, code reviews, and best practices Required Qualifications Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent experience) 10+ years of hands-on experience with relational databases, including designing and implementing new database systems Knowledge, Skills, & Abilities Proven experience designing and building new databases and large-scale data systems, particularly in PostgreSQL and Snowflake; hands-on experience with dbt Demonstrated ability to develop and optimize ELT/ETL pipelines for complex data sets Experience with cloud architecture, workflow orchestration, and Git-based version control Knowledge of data governance, data quality, and validation practices Strong troubleshooting and root-cause analysis skills Excellent communication skills and experience working in agile, cross-functional teams Working knowledge of Python preferred, familiarity with data visualization principles a plus Work Environment While performing the duties of this job, the employee regularly works in an office setting with constant sitting and occasional standing. Physical Demands Prolonged periods of sitting or standing at a desk while using a computer. Travel Not Applicable Other Duties Please note this job description is intended to describe the general nature and level of work performed by employees assigned to this position. It is not designed to contain or be interpreted as a comprehensive list of all duties, responsibilities, and qualifications. Additional job-related duties may be assigned. Alliance reserves the right to amend and change responsibilities to meet business and organizational needs as necessary with or without notice. Employee Benefits: Key Benefits Include: - Medical, Dental, and Vision Insurance - Flexible Spending Accounts - 401(K) Plan with Competitive Match - Continuing Education and Tuition Assistance - Employer-Sponsored Disability Benefits - Life Insurance - Employee Assistance Program (EAP) - Paid Time Off (PTO), Paid Holidays, & Bonus Floating Holiday (if hired before July 1st) - Profit Sharing or Individual Bonus Programs - Referral Program - Per Diem & Paid Travel - Employee Discount Hub Salary based upon experience. EEO Commitment: We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, national origin, ethnicity, sex, pregnancy, sexual orientation, gender identity/expression, including transgender identity, religion, disability, age, genetics, active military or veteran status and any other characteristics protected under applicable federal or state law.

Locations: Boston | Chicago | Pittsburgh | New York | Brooklyn | Miami | Dallas | San Francisco | Seattle | Los Angeles | Manhattan Beach Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. We Are BCG X We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. Our Data Scientists are part of our rapidly growing team to apply data science methods and analytics to real-world business situations across industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, creative, and communicative. What You'll Bring We are looking for dedicated individuals with a passion for data science, statistics, operations research and redefining organizations into AI led innovative companies. Successful candidates possess the following: * Comfortable in a client-facing role with the ambition to lead teams * Likes to distill complex results or processes into simple, clear visualizations * Explain sophisticated data science concepts in an understandable manner * Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience) * Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data * Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients * Have strong project management skills Please note: any degree programs (including part-time) must be completed before starting at BCG. TECHNOLOGIES: Programming Languages: Python Additional info You must live within a reasonable commuting distance of your home office. As a member of that office, it is expected you will be in the office as directed. This role puts you on an accelerated path of personal and professional growth and development and so, at times, requires extended working hours. Our work often requires travel to client sites. FOR U.S. APPLICANTS: BCG is an Equal Employment Opportunity employer and is committed to a policy of administering all employment decisions and actions without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. The first-year base compensation for this role is: Data Scientist I: $110,000 USD Data Scientist II: $145,000 USD Data Scientist III: $160,000 USD At BCG, we are committed to offering a comprehensive benefit program that includes everything our employees and their families need to be well and live life to the fullest. We pay the full cost of medical, dental, and vision coverage for employees - and their eligible family members. * That's zero dollars in premiums taken from employee paychecks. All our plans provide best in class coverage: * Zero-dollar ($0) health insurance premiums for BCG employees, spouses, and children * Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs * Dental coverage, including up to $5,000 in orthodontia benefits * Vision insurance with coverage for both glasses and contact lenses annually * Reimbursement for gym memberships and other fitness activities * Fully vested Profit-Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan * Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement * Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) * Paid sick time on an as needed basis * Employees, spouses, and children are covered at no cost. Employees share in the cost of domestic partner coverage. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

Have you ever enjoyed Arnold, Brownberry or Oroweat bread? A Thomas' English muffin or bagel? Or perhaps snacked on a Sara Lee, Entenmann's or Marinela cake or donut? If the answer is yes, then you know Bimbo Bakeries USA! More than 20,000 associates in bakeries, sales centers, offices and on sales routes work to ensure our consumers have the freshest products at every meal. In addition to competitive pay and benefits, we provide a safe and inclusive work environment that appreciates diversity, promotes development and allows our associates to be their authentic selves. #LI-SO1 Come join the largest baking company in the world and our family of 20,000 associates nationwide! Top Reasons to Work at Bimbo Bakeries USA: Salary Range: $91,500 - $119,000 Comprehensive Benefits Package Annual Bonus Eligibility 401k & Company Match Position Summary: BBU is seeking a motivated Data Scientist to join our growing data science team. In this role, you'll work alongside experienced data scientists to develop analytical solutions, build predictive models, and extract insights from complex datasets. This is an excellent opportunity for early-career professionals to gain hands-on experience with real-world data science applications while contributing to business-critical projects. You'll receive mentorship, professional development, and exposure to cutting-edge technologies in a collaborative environment. KEY RESPONSIBILITIES: Data Analysis & Exploration * Clean, transform, and analyze large datasets to identify patterns and trends * Perform exploratory data analysis (EDA) to understand data quality and characteristics * Create data visualizations to communicate findings to stakeholders * Document data sources, methodologies, and analytical approaches. Model Development & Implementation * Build and test predictive models using supervised and unsupervised learning techniques * Assist in feature engineering and selection for machine learning models * Perform model evaluation using appropriate metrics and validation techniques * Support deployment of models to production environments Data Pipeline & Automation * Develop and maintain data pipelines for model training and scoring * Write clean, efficient, and well-documented code in Python and SQL * Automate repetitive data processing tasks * Follow software development best practices including version control (Git) REQUIRED QUALIFICATIONS Education * Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, Economics, Engineering, or related quantitative field * Master's degree preferred but not required Experience * 4 years of data science or analytics experience (internships, projects, or academic research count) * Demonstrated experience through personal projects, Kaggle competitions, or open-source contributions * Exposure to real-world datasets and problem-solving Technical Skills Programming: * Python: pandas, NumPy, scikit-learn, matplotlib/seaborn * SQL: Writing queries, joins, aggregations, and basic optimization Machine Learning: * Supervised learning: Linear/logistic regression, decision trees, random forests * Unsupervised learning: K-means clustering, PCA * Understanding of model evaluation metrics (accuracy, precision, recall, F1, RMSE) * Familiarity with train/test splits and cross-validation Statistics & Mathematics: * Descriptive statistics (mean, median, standard deviation, distributions) * Probability concepts and statistical inference * Hypothesis testing and confidence intervals * Basic understanding of experimental design Data Tools: * Jupyter Notebooks or similar interactive development environments * Version control with Git/GitHub * Data visualization tools (matplotlib, seaborn, Plotly) * Basic SQL database querying Other: * Strong problem-solving and analytical thinking skills * Attention to detail and commitment to data quality * Ability to learn quickly and adapt to new technologies Physical Demands: The physical and mental demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be requested to enable individuals with disabilities to perform the essential functions. Bimbo Bakeries USA is an equal opportunity employer with a policy that provides equal employment opportunity for applicants and employees regardless of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, any other classification protected by law. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Apply Data Scientist Department of Defense Defense Counterintelligence and Security Agency DCSA Apply Print Share * * * * Save * This job is open to * Requirements * How you will be evaluated * Required documents * How to apply DCSA's PEO (National Background Investigation Services (NBIS)) is looking for non-supervisory Data Scientist (Data Architect/Data Engineer/AI-ML Specialist). The incumbent will provide support, guidance and expertise in various Data Scientist functions. Performs a variety of duties that involve knowledge of a wide variety of Data Scientist applications, environments, and methods. Visit ************ - America's Gatekeeper! Summary DCSA's PEO (National Background Investigation Services (NBIS)) is looking for non-supervisory Data Scientist (Data Architect/Data Engineer/AI-ML Specialist). The incumbent will provide support, guidance and expertise in various Data Scientist functions. Performs a variety of duties that involve knowledge of a wide variety of Data Scientist applications, environments, and methods. Visit ************ - America's Gatekeeper! Overview Help Accepting applications Open & closing dates 01/05/2026 to 01/20/2026 Salary $63,815 to - $111,087 per year Pay scale & grade GG 9 - 11 Locations 1 vacancy in the following locations: Fort Meade, MD Hanover, MD Boyers, PA Farmers Branch, TX Show morefewer locations (2) Quantico, VA Stafford, VA Remote job No Telework eligible Yes-as determined by the agency policy. Travel Required 25% or less - You may be expected to travel for this position. Relocation expenses reimbursed No Appointment type Permanent Work schedule Full-time Service Excepted Promotion potential 13 Job family (Series) * 1560 Data Science Series Supervisory status No Security clearance Top Secret Drug test Yes Position sensitivity and risk Special-Sensitive (SS)/High Risk Trust determination process * National security Financial disclosure No Bargaining unit status No Announcement number DCSA-26-12857533-MP Control number 853560800 This job is open to Help Federal employees - Competitive service Current federal employees whose agencies follow the U.S. Office of Personnel Management's hiring rules and pay scales. Federal employees - Excepted service Current federal employees whose agencies have their own hiring rules, pay scales and evaluation criteria. National Guard and reserves Current members, those who want to join or transitioning military members. Special authorities Individuals eligible under a special authority not listed in another hiring path. Clarification from the agency This announcement is open to: Current Federal employees in the competitive and excepted service; Retained Grade Preference (RGP) eligibles, and Military Reserve and National Guard Technician eligibles may also apply. Videos Duties Help This position may be filled at either GG-9 or GG-11 grade level, please indicate the grade for which you want to be considered. Incumbent may be advanced non-competitively to the established target grade upon meeting developmental benchmarks, performance requirements, and other requirements, as applicable established for the career program or specifically for the incumbent. As a Data Scientist you will be responsible for the following duties: GG-09 * Identifies, collects and analyzes data to effectively support and advance projects or programs. * Applies analytic methods such as regression, decision tree and statistical probability to improve data reliability and quality. * Analyzes, interprets and correlates qualitative and quantitative data and develop recommended changes to improve results. * Manages and plans sequence of operations on a regular basis for assigned elements. * Implements strategies for system development and analysis, operational logistics, project funding/budgeting, project cost, schedule and performance management. * Collaborate with team members and stakeholders to ensure data accuracy and consistent reporting. GG-11 * Identifies, collects and analyzes data to effectively support and advance projects or programs. * Applies analytic methods such as regression, decision tree and statistical probability to improve data reliability and quality. * Collaborate with team members and stakeholders to ensure data accuracy and consistent reporting. * Inform management of anticipated revisions to theories, methodologies or procedures to satisfy non-standard complex program or project support of mission priorities. * Engages in routine contact with high-ranking individuals or groups such as flag officers and senior executive service members from the DOD and Federal Agencies. Requirements Help Conditions of employment * Must be a US citizen * Selective Service Requirement: Males born after 12-31-59 must be registered for Selective Service. For more information ****************** * Resume and supporting documents received by 11:59PM EST will be considered * This is a Drug Testing designated position * Position is a (DCIPS) position in the Excepted Service under U.S.C. 1601 * Work Schedule: Full Time * Overtime: Occasionally * Tour of Duty: Flexible * PCS (Permanent Change of Station): Not Authorized * Fair Labor Standards Act (FLSA): Exempt * Financial Disclosure: Not Required * Telework Eligibility: Supervisors may approve situational telework on a case-by-case, temporary basis for limited situations. * If selected, the incumbent must obtain and maintain appropriate security clearance as indicated in job announcement. * In accordance with DoDD 8140.01/DoDI 8140.02, the position compliance requirement details are outlined in the Defense Cyber Workforce Annex. * Any Information Technology/Security certifications / education specified in the DCWF Annex as defined by DoD 8140-M within six months of appointment date. * The incumbent must sign a Statement of Understanding regarding the certification requirements and maintaining the appropriate certification is a condition of employment. * This position requires Defense Acquisition Workforce Improvement Act Foundational certification in Engineering and Technical Management. * Applicants are expected to meet all related certification requirements per the Department of Defense Instruction 5000.66. * Applicants that do not meet this requirement are eligible to be hired but must obtain a Engineering and Technical Management Foundational certification within 3 years (36 months) after the first day of starting in the position. Qualifications The experience described in your resume will be evaluated and screened from the Office of Personnel Management's (OPMs) basic qualifications requirements. See: Information Technology (IT) Management Series 2210 (Alternative A) for OPM qualification standards, competencies and specialized experience needed to perform the duties of the position as described in the MAJOR DUTIES and QUALIFICATIONS sections of this announcement by 01/20/2026 Applicant must have directly applicable experience that demonstrates the possession of the knowledge, skills, abilities and competencies necessary for immediate success in the position. Qualifying experience may have been acquired in any public or private sector job, but will clearly demonstrate past experience in the application of the particular competencies/knowledge, skills and abilities necessary to successfully perform the duties of the position. GG-09 You must have specialized experience sufficient to demonstrate that you have acquired all the competencies necessary to perform at a level equivalent in difficulty, responsibility, and complexity to the next lower grade GS/GG-07 in the Federal service and are prepared to take on greater responsibility. Generally, this would include one year or more of such specialized experience. Specialized experience for this position includes: * Applying statistical/machine learning algorithms to analyze structured and unstructured data. * Developing predictive data models, quantitative analyses, and targeting data sources. * Use of statistical and general-purpose programming languages for data analysis. OR Education Substitution of Education for Specialized Experience -master's or equivalent graduate degree or 2 full years of progressively higher level graduate education leading to such a degree or LL.B. or J.D., if related GG-11 You must have specialized experience sufficient to demonstrate that you have acquired all the competencies necessary to perform at a level equivalent in difficulty, responsibility, and complexity to the next lower grade GS/GG-09 in the Federal service and are prepared to take on greater responsibility. Generally, this would include one year or more of such specialized experience. Specialized experience for this position includes: * Applying statistical/machine learning algorithms to analyze structured and unstructured data. * Leading data analysis projects using predictive data models, quantitative analyses, and targeting data sources. * Explain actionable insights from data analysis to senior management and key stakeholders within DCSA and/or the federal government. OR Education Substitution of Education for Specialized Experience -Ph.D. or equivalent doctoral degree or 3 full years of progressively higher level graduate education leading to such a degree or LL.M., if related Specifically you will be evaluated on the following competencies for the GG-09 & GG-11: * Data Mining - Computing process of discovering patterns in a large data set involving methods at the intersection of machine learning, statistics, and database systems. * Data Management - Knowledge of the principles, procedures, and tools of data management, such as modeling techniques, data backup, data recovery, data dictionaries, data warehousing, data mining, data disposal, and data standardization processes. * Software and Programming - Understand a variety of programming languages, data warehousing platforms, big data software, and version control applications. * Qualitative / Quantitative Analysis - Developing and applying quantitative and qualitative analytic methods to identify, collect, process, and analyze large data sets. Education If substituting education for experience at the GG-09 level, you must possess a masters or equivalent degree OR 2 full years of progressively higher graduate education leading to such a degree, OR LL.B. or J.D., if related. If substituting education for experience at the GG-11 level, you must possess a Ph.D. or equivalent doctoral degree or 3 full years of progressively higher graduate education leading to such a degree, OR LL.M., if related. If substituting or combining education for experience, transcripts MUST be provided. Failure to provide transcripts will result in you being rated ineligible for this position. Superior Academic Achievement does not apply to DCIPS positions. If substituting education for experience, transcripts MUST be provided. Failure to provide transcripts will result in you being rated ineligible for this position. Foreign Education: For further information, click on the following link: ************************************************************************* Additional information VETERANS PREFERENCE/CURRENT OR FORMER FEDERAL In accordance with DoD Instruction 1400.25, Volume 2005, veterans preference is not required to be applied when considering candidates with prior Federal competitive or excepted service who have completed a probationary or trial period and have not been separated for cause. Therefore, veterans preference will not be applied to applicants with current federal service, or former federal civilian service meeting the above criteria. Re-employed Annuitant: This position does not meet criteria for re-employed annuitant. The DoD criteria for hiring Re-employed Annuitants can be found at: ********************************************************************************* Applicants selected from this announcement may be required to serve a two-year trial period. If selected, Federal employees currently serving in the competitive service must acknowledge that they will voluntarily leave the competitive service by accepting an offer of employment for a DCIPS excepted service positions. If selected, non-DCIPS candidates must acknowledge in writing that the position they have been selected for is in the excepted service and covered by DCIPS. All Defense Intelligence positions under the Defense Civilian Intelligence Personnel System (DCIPS) are in the excepted service by specific statue, 10 U.S.C. 1601. This position is in the excepted service and does not confer competitive status. For more information on the DCIPS occupational structure click here. For more information about career advancement in DCIPS click here. ACQUISITION POSITION: This position requires a Defense Acquisition Workforce Improvement Act (DAWIA) Foundational certification in Engineering & Technical Management. Certification prior to hiring is not essential but must be accomplished within 3 years (36 months) after entry into this position. For information regarding the DAWIA Back to Basics please visit: Home (dau.edu) or Back to Basics - Helpful Resources (dau.edu) * DAWIA (Back to Basics) Certification: NON-CAP: Position requires DoD Acquisition Foundational certification in Engineering & Technical Management within required timeframes. Selectee must also achieve 80 hours of Continuous Learning Points (CLPs) every 2-years. Click here for more details and Resources. Expand Hide additional information Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution. Benefits Help A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new window Learn more about federal benefits. Review our benefits Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered. How you will be evaluated You will be evaluated for this job based on how well you meet the qualifications above. You will be evaluated based on how well you meet the qualifications listed in this vacancy announcement. Your qualifications will be evaluated based on your application materials (e.g., resume, supporting documents), and the responses you provide on the application questionnaire. EXCEPTED SERVICE PILOT REVIEW: Once the application process is complete, a review of your application will be made to ensure you meet the qualification requirements listed on this announcement. All applicants who meet the basic qualification requirements will be forwarded to the Selecting Official for consideration. Competencies: Customer Service, Decision Making, Flexibility, and Planning and Evaluating You should list any relevant performance appraisals and incentive awards in your resume as that information may be taken into consideration during the selection process. If selected, you may be required to provide supporting documentation. Top ranked candidates will be referred to the selecting official for further review and consideration. A review of your resume and supporting documentation will be made and compared against your responses to the Assessment Questionnaire to determine if you are qualified for this job. If your resume is incomplete or does not support the responses provided in the Assessment Questionnaire, or if you fail to submit all required documentation, you will be rated 'ineligible', 'not qualified'. Please follow all instructions carefully. Errors or omissions may affect your rating or consideration for employment. All eligibility and qualifications requirements must be met by the closing date of this announcement. Benefits Help A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new window Learn more about federal benefits. Review our benefits Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered. Required documents Required Documents Help The documents you are required to submit vary based on the authority you are using to apply (i.e., applying as a veteran, applying as a current permanent Federal employee, applying as a reinstatement, etc.). Your complete application includes your COMPLETE resume, your responses to the online questionnaire, and documents which prove your eligibility to apply. If you fail to provide these documents, you will be marked as having an incomplete application package and you will not be considered any further. The following documents are REQUIRED: 1. Your resume: * All applicants are required to submit a resume limited to two (2) pages showing all relevant experience. Your resume must address your qualifications for the position, and it may not exceed two (2) pages. Your 2-page (or less) resume must be in PDF format, with no smaller than a 0.5" margin and no smaller than a 10-point font. If you submit a resume that exceeds the two-page limit and/or does not meet the margin or font limitations stated herein, you will immediately be deemed ineligible for this position and will be removed from further consideration. Must include the work schedule, hours worked per week, dates of employment, and duties performed. * If you submit more than one copy of your resume, only the most recent version will be reviewed. The latest timestamp will be used to determine which version of your resume is "most recent." * If your resume includes a photograph or other inappropriate material or content, it will not be used to make eligibility and qualification determinations and you will not be considered for this vacancy. * Narrative responses in the assessment questionnaire do not replace content in your resume or vise a versa. Experience must be described in both places for qualification determinations. * Resumes should NOT include: Classified information/SSN/Photo of yourself/personal information (gender, religion, affiliation etc., Encrypted digitally signed docs). Resumes with this prohibited information will be automatically ineligible for consideration. * For qualifications determinations your resume must contain the dates of employment (i.e., Month/Year to present. Hours per Week). * If your resume does not clearly outline details for each position as noted, you may be deemed "not referred" for this position. * Additional guidance on writing a federal resume can be found at: USAJOBS Help Center - How do I write a resume for a federal job? The resume builder can help you create a resume using these recommendations and uses the information in your USAJOBS profile to help you get started. 2. Transcripts: * College transcript (s), required if qualifying based on education. We accept unofficial transcripts, as long as they contain your name, the name of the school, the date and degree that was awarded, and the list of classes and credits earned. 3. SF50 * All current and former civilian Federal employees must submit a copy of your MOST RECENT SF50 (Notification of Personnel Action) showing your tenure, grade and step, salary, and type of position occupied (i.e., Excepted or Competitive); or similar Notification of Personnel Action documentation, i.e., Transcript of Service, Form 1150, etc. Failure to provide latest SF50 may result in you being rated ineligible for this position. 4. Veteran's Documents: * If applying using veteran's preference or under a Veteran's hiring authority you must submit the following documents: DD214 showing character of service, SF-15 Form and VA letter showing final percentage, or certification of expected discharge or release from active duty. NOTE: Active duty military members are not eligible for appointment unless currently on terminal leave. PLEASE REVIEW THE BELOW LINK FOR OTHER SUPPORTING DOCUMENTS needed for proof of eligibility: *********************************************************************************************************** If you are relying on your education to meet qualification requirements: Education must be accredited by an accrediting institution recognized by the U.S. Department of Education in order for it to be credited towards qualifications. Therefore, provide only the attendance and/or degrees from schools accredited by accrediting institutions recognized by the U.S. Department of Education. Failure to provide all of the required information as stated in this vacancy announcement may result in an ineligible rating or may affect the overall rating. How to Apply Help To apply for this position, you must complete the online application and submit the documentation specified in the Required Documents section below. The complete application package must be submitted by 11:59 PM (EST) on the closing date to receive consideration. * To begin, click Apply Online to access an online application. Follow the prompts to select your USAJOBS resume and/or other supporting documents. You will need to be logged into your USAJOBS account or you may need to create a new account. * You will be taken to an online application. Complete the online application, verify the required documentation, and submit the application. NOTE: Resumes up to a total of two pages will be accepted. Resumes exceeding two pages will be removed from consideration. * You will receive an email notification when your application has been received for the announcement. * To verify the status of your application, log into your USAJOBS account, ************************ select the Application Status link and then select the More Information link for this position. The Application Status page will display the status of your application, the documentation received and processed, and your responses submitted to the online application. Your uploaded documents may take several hours to clear the virus scan process. To preview the questionnaire, please go to ********************************************************* Please review the General Application Information and Definitions at: ************************************************************************************************************************** Agency contact information DCSA Servicing Team Phone ************ Email ****************** Address Defense Counterintelligence and Security Agency 27130 Telegraph Road Quantico, VA 22134 US Next steps Once you successfully complete the application process, you will receive a notification of receipt. Your application package will be reviewed to ensure you meet the basic eligibility and qualifications requirements, and you will receive a notification. A review will be made of your online questionnaire and the documentation you submitted to support your responses. A list of qualified applicants will be created and sent to the selecting official. All applicants reviewed and/or referred will receive a notification letter. The selecting official may choose to conduct interviews, and once the selection is made, you will receive a notification of the decision. * NOTE: If you submit a resume but no questionnaire, you cannot be considered for the position. If you submit a questionnaire but no resume, you cannot be considered for the position. Your application will be appropriately documented and you will be removed from further competition against this announcement. REGARDING INTERVIEWS: Interviews may be required for this position. Accommodations may be made to conduct telephonic interviews to preclude travel hardships for applicants. Note: Declining to be interviewed or failure to report for a scheduled interview will be considered as a declination for further consideration for employment against this vacancy. The Defense Counterintelligence and Security Agency provides reasonable accommodations to applicants with disabilities. If you need a reasonable accommodation for any part of the application and hiring process, please notify the point of contact for this job announcement. Your requests for reasonable accommodation will be addressed on a case-by-case basis. This announcement may be used to fill additional vacancies. Fair and transparent The Federal hiring process is set up to be fair and transparent. Please read the following guidance. Criminal history inquiries Equal Employment Opportunity (EEO) Policy Financial suitability New employee probationary period Privacy Act Reasonable accommodation policy Selective Service Signature and false statements Social security number request Required Documents Help The documents you are required to submit vary based on the authority you are using to apply (i.e., applying as a veteran, applying as a current permanent Federal employee, applying as a reinstatement, etc.). Your complete application includes your COMPLETE resume, your responses to the online questionnaire, and documents which prove your eligibility to apply. If you fail to provide these documents, you will be marked as having an incomplete application package and you will not be considered any further. The following documents are REQUIRED: 1. Your resume: * All applicants are required to submit a resume limited to two (2) pages showing all relevant experience. Your resume must address your qualifications for the position, and it may not exceed two (2) pages. Your 2-page (or less) resume must be in PDF format, with no smaller than a 0.5" margin and no smaller than a 10-point font. If you submit a resume that exceeds the two-page limit and/or does not meet the margin or font limitations stated herein, you will immediately be deemed ineligible for this position and will be removed from further consideration. Must include the work schedule, hours worked per week, dates of employment, and duties performed. * If you submit more than one copy of your resume, only the most recent version will be reviewed. The latest timestamp will be used to determine which version of your resume is "most recent." * If your resume includes a photograph or other inappropriate material or content, it will not be used to make eligibility and qualification determinations and you will not be considered for this vacancy. * Narrative responses in the assessment questionnaire do not replace content in your resume or vise a versa. Experience must be described in both places for qualification determinations. * Resumes should NOT include: Classified information/SSN/Photo of yourself/personal information (gender, religion, affiliation etc., Encrypted digitally signed docs). Resumes with this prohibited information will be automatically ineligible for consideration. * For qualifications determinations your resume must contain the dates of employment (i.e., Month/Year to present. Hours per Week). * If your resume does not clearly outline details for each position as noted, you may be deemed "not referred" for this position. * Additional guidance on writing a federal resume can be found at: USAJOBS Help Center - How do I write a resume for a federal job? The resume builder can help you create a resume using these recommendations and uses the information in your USAJOBS profile to help you get started. 2. Transcripts: * College transcript (s), required if qualifying based on education. We accept unofficial transcripts, as long as they contain your name, the name of the school, the date and degree that was awarded, and the list of classes and credits earned. 3. SF50 * All current and former civilian Federal employees must submit a copy of your MOST RECENT SF50 (Notification of Personnel Action) showing your tenure, grade and step, salary, and type of position occupied (i.e., Excepted or Competitive); or similar Notification of Personnel Action documentation, i.e., Transcript of Service, Form 1150, etc. Failure to provide latest SF50 may result in you being rated ineligible for this position. 4. Veteran's Documents: * If applying using veteran's preference or under a Veteran's hiring authority you must submit the following documents: DD214 showing character of service, SF-15 Form and VA letter showing final percentage, or certification of expected discharge or release from active duty. NOTE: Active duty military members are not eligible for appointment unless currently on terminal leave. PLEASE REVIEW THE BELOW LINK FOR OTHER SUPPORTING DOCUMENTS needed for proof of eligibility: *********************************************************************************************************** If you are relying on your education to meet qualification requirements: Education must be accredited by an accrediting institution recognized by the U.S. Department of Education in order for it to be credited towards qualifications. Therefore, provide only the attendance and/or degrees from schools accredited by accrediting institutions recognized by the U.S. Department of Education. Failure to provide all of the required information as stated in this vacancy announcement may result in an ineligible rating or may affect the overall rating.

Support data modeling process, creating algorithms and predictive models, as well as performing custom analysis Support identification of key indicators both for compliance and effectiveness critical to mission/business success Support manipulation of large data sets and using them to identify trends and reaching meaningful conclusions Support ability to clean, aggregate and organize data from multiple sources and transfer this information to data warehouses Support data requirements and ensure storage, availability and coherence of electronically stored information to guarantee it meets the organization's needs

EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all. The exceptional EY experience. It's yours to build. Data Scientist, Advanced Technologies (National Tax - Tax Technology and Transformation) (Manager) (Multiple Positions) (1676660), Ernst & Young U.S. LLP, Dallas, TX. Apply data mining techniques, performing statistical analysis and building high quantity prediction systems integrated with tax technology products. Assist businesses navigate the digital age of tax transparency alongside new trends in tax compliance and tax audit methods, as well as helping to solve the most pressing challenges that businesses face. Identify complex problems and reviewing related information to develop and evaluate options, and provide data-driven business recommendations to clients. Decrease the cost of managing data and increasing the value of existing data. Process, cleanse and verify the integrity of data used for analysis and enhance data collection procedures to include information that is relevant for building analytic system. Select features and, build and optimize classifiers using machine learning techniques. Support various client projects, ranging from assisting in the production of leading edge machine models, to designing and implementing robust data pipelines that can handle data at a multinational, enterprise scale. Manage and motivate teams of professionals with diverse skills and backgrounds. Consistently deliver quality client services by monitoring progress. Demonstrate in-depth technical capabilities and professional knowledge. Full time employment, Monday - Friday, 45 hours per week, 8:30 am - 5:30 pm. MINIMUM REQUIREMENTS: Must have a Bachelor's degree in Accounting, Computer Science, Data Science, Engineering, Management Information Systems, Statistics, or a related field and 5 years of progressive, post-baccalaureate related work experience. Alternatively, will accept a Master's degree in Accounting, Computer Science, Data Science, Engineering, Management Information Systems, Statistics, or a related field and 3 years of related work experience. Must have 3 years of experience working in a professional services firm, a consulting firm, or a mid-sized/regional to large-sized/national public accounting firm. Must have 3 years of experience in the management and manipulation of large datasets, both structured and unstructured, of which 1 year of experience must be with tax or accounting-related datasets. Must have 3 years of experience with machine learning techniques and algorithms, including at least one of the following: Linear/Logistic Regression, k-NN, Naïve Bayes, Support Vector Machines (SVM), and/or Decision Forests. Must have 2 years of experience managing and/or analyzing data using at least one of the following: - SQL and NoSQL; - SQL Server; or - MongoDB. Must have 1 year of experience with using the Python toolkit (Pandas, NumPy, and/or Jupyter Notebooks). Must have 1 year of experience with distributed file systems including Apache Spark. Must have 1 years of experience designing and implementing ETL solutions for tools, including at least one of the following: Alteryx, SSIS, DataStage, Informatica, Talend, and/or Pentaho. Must have 1 years of experience with data visualization tools, such as Power BI, Tableau, and/or D3.js. Must have 1 year of experience with data science programming languages, including, Python and R. Must have 1 year of experience managing junior data and data analytics professionals, including setting goals, assigning work, and reviewing performance. Requires domestic travel up to 10%, to serve client needs. Employer will accept any suitable combination of education, training or experience. Please apply on-line at ey.com/en_us/careers and click on "Careers - Job Search”, then “Search Jobs" (Job Number - 1676660). What we offer We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary for this job is $128,475.00 per year. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. • Continuous learning: You'll develop the mindset and skills to navigate whatever comes next. • Success as defined by you: We'll provide the tools and flexibility, so you can make a meaningful impact, your way. • Transformative leadership: We'll give you the insights, coaching and confidence to be the leader the world needs. • Diverse and inclusive culture: You'll be embraced for who you are and empowered to use your voice to help others find theirs. EY accepts applications for this position on an on-going basis. If you can demonstrate that you meet the criteria above, please contact us as soon as possible. The exceptional EY experience. It's yours to build. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. For those living in California, please click here for additional information. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities, including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, type Option 2 (HR-related inquiries) and then type Option 1 (HR Shared Services Center), which will route you to EY's Talent Shared Services Team or email SSC Customer Support at **************************. This particular position at Ernst & Young in the United States requires the qualified candidate to be a "United States worker" as defined by the U.S. Department of Labor regulations at 20 CFR 656.3. You can review this definition at ****************************************************************************************** at the bottom of page 750. Please feel free to apply to other positions that do not require you to be a "U.S. worker".

Job Description Note: Only on W2 Must be local to either Cary, NC or Irving, TX Client: Caterpillar Education: • Bachelors or Masters are required Qualifications: • 5+ years of experience are required Top Skills: • Proficiency in Python, SQL, and data science libraries (Pandas, Scikit-learn, TensorFlow) • Strong foundation in statistics, probability, and machine learning • Familiarity with cloud platforms (Azure, AWS, Snowflake) and data modeling • Excellent communication skills to explain technical concepts to non-technical stakeholders Job Duties: • A Data Scientist is responsible for analyzing large volumes of structured and unstructured data to extract actionable insights, build predictive models, and support data-driven decision-making. • This role blends statistical expertise, programming skills, and business acumen to solve complex problems and drive innovation. • Data Collection & Preparation: Gather, clean, and validate data from various sources to ensure quality and usability • Exploratory Data Analysis: Identify trends, anomalies, and patterns in large datasets • Model Development: Design and implement machine learning models (e.g., regression, classification, clustering, NLP) to support forecasting and decision-making • Data Visualization: Create dashboards and reports using tools like Power BI, etc., to communicate findings • Automation & Optimization: Develop scripts and tools to automate data processing and model deployment • Collaboration: Work cross-functionally with product, engineering, and business teams to align data initiatives with strategic goals • Research & Innovation: Stay current with emerging technologies and methodologies in data science and apply them to business challenges

Data Scientist Engineer Client: Largest Telecom client Duration: Long Term Contract Required Skills: Data Science, Machine Learning, AI, Big Data/ Hadoop, Python, Cloud- AWS/GCP. What were looking for... You are an accomplished Data Scientist, a recognized Machine Learning expert, and a thought leader in AI Technology and business innovation. You are a master at analyzing big data. Required: Formal education: Bachelors degree with six or more years of relevant work experience as a Data Scientist practicing model development for business applications; Or a Master's Degree in Computer Science, Statistics, Math, Economics, Engineering, or Data Science related fields with four or more years of relevant experience as a data scientist or machine learning engineer. Hands-on experience in building machine learning and statistical models using Python, PySpark, Machine Learning libraries, SQL. Experience in computing/programming skills; proficiency in Python, R, and Linux shell script. Experience in data management and data analysis in a relational database, Hadoop and Spark. Experience with Cloud computing platform such as GCP or AWS Strong communication and interpersonal influencing skills. Excellent problem solving and critical thinking capabilities. Desired: A Ph.D. in Computer Science, Statistics, Math, Economics, Engineering, or Data Science, with two or more years of experience in practicing machine learning and data science in business. Expertise in deep learning, NLP, reinforcement learning, recommender system, etc. Experience in leading large scale data science projects and delivering from end to end. Experience with building data pipelines, model framework and model deployment.

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future. Summary: In this role, you will develop automated analytics products and conduct sophisticated data analysis to address critical business and client questions. You will design, implement, and deploy advanced data science solutions across multiple domains, translating complex findings into actionable insights that improve clinical, operational, and economic outcomes. You will guide data scientists, lead the design of predictive, machine learning, and generative AI approaches, and ensure high-quality, scalable analytic solutions that support organizational objectives. Responsibilities: Lead the design and implementation of advanced machine learning, generative AI, statistical modeling, and unsupervised learning approaches across structured and unstructured data. Build and deploy scalable, automated data science products and reusable analytic assets across multiple projects and domains. Analyze large-scale, high-dimensional datasets using Python, R, SQL, and distributed computing platforms to identify trends and actionable insights. Apply deep expertise across end-to-end data science workflows, including data discovery, feature engineering, validation, and insight publishing. Translate complex analytical outputs into clear dashboards, reports, and presentations for technical and non-technical audiences. Make key analytic and architectural design decisions, define project goals based on strategic business needs, and own final solution outcomes. Apply expert-level proficiency in programming languages and advanced analytics platforms, including cloud-based and distributed frameworks. Lead code development and reviews, establish best practices, and mentor data scientists in advanced modeling and responsible AI usage. Evaluate and adopt emerging tools, advanced frameworks, and generative AI technologies to continuously enhance analytical capabilities and workflows. Partner with engineering and platform teams to support production deployment, monitoring, and lifecycle management of machine learning and generative AI models. Implement responsible AI and model governance practices, including documentation, explainability, bias assessment, and validation standards. Collaborate with cross-functional teams to integrate advanced analytics and AI solutions into products, workflows, and business processes. Apply a solutions-oriented mindset to complex, multi-project initiatives and make autonomous decisions on data science deliverables aligned with enterprise objectives. Qualifications: Relevant degree preferred. Advanced degree in applied mathematics, statistics, computer science, econometrics, or a related field is a plus. 7 or more years of relevant experience required. Proven ability to apply advanced modeling, forecasting, anomaly detection, and natural language processing required. Demonstrated advanced knowledge of data science methodologies, statistical modeling, machine learning, and generative AI techniques required. Strong understanding of Natural Language Processing (NLP) techniques, including text classification, sentiment analysis, information extraction, and Large Language Model (LLM)-based approaches required. Expertise in programming languages such as Python, R, SAS, SQL, or similar tools required. Knowledge of responsible AI principles, including model explainability, bias detection, fairness assessment, and ethical use of data. Experience deploying, monitoring, and maintaining machine learning and generative AI models in production environments. Experience implementing model governance practices such as documentation standards, version control, validation protocols, and audit readiness. Experience working with cloud-based and distributed data platforms and modern analytics frameworks such as Databricks. Strong analytical, problem-solving, communication, and presentation skills with the ability to convey complex concepts to non-technical audiences. Experience guiding or mentoring data scientists. Estimated Hiring Range: At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $117,600.00 to $206,000.00. This position is also incentive eligible. Vizient has a comprehensive benefits plan! Please view our benefits here: ****************************************** Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.

At ServiceLink, we believe in pushing the limits of what's possible through innovation. We're looking for a high-achieving AI enthusiast to lead ground-breaking initiatives that redefine our industry. As our Principal Data Scientist, you'll harness cutting-edge technologies-from advanced machine learning and deep learning to generative AI, Large Language Models, and Agentic AI-to create production-ready systems that solve real-world challenges. This is your opportunity to shape strategy, mentor top talent, and turn ambitious ideas into transformative solutions in an environment that champions bold thinking and continuous innovation. Applicants must be currently authorized to work in the United States on a full-time basis and must not require sponsorship for employment visa status now or in the future. A DAY IN THE LIFE In this role, you will… Transform complex business challenges into innovative AI solutions that leverage deep learning, LLMs, and autonomous Agentic AI frameworks. Lead projects end-to-end-from ideation and data gathering to model design, fine-tuning, deployment, and continuous improvement using full MLOps practices. Collaborate closely with business stakeholders, Data Engineering, Product, and Infrastructure teams to ensure our AI solutions are powerful, secure, and scalable. Drive both research and production by designing experiments, publishing state-of-the-art work in high-impact journals, and protecting strategic intellectual property. Mentor and inspire our next generation of data scientists, sharing insights on emerging trends and best practices in AI. WHO YOU ARE You possess … A visionary leader with an advanced degree (Master's or Ph.D.) in Computer Science, Engineering, or a related field, backed by 10+ years of progressive experience in AI and data science. A technical powerhouse with a solid track record in statistical analysis, machine learning, deep learning, and building production-grade models using transformer architectures and Agentic AI systems. Proficient in Python-and comfortable with other modern programming environments-armed with real-world experience in cloud platforms (preferably Microsoft Azure) and end-to-end AI development (CRISP-DM and ML-Ops). An exceptional communicator who can distill complex technical ideas into strategic insights for diverse audiences, from the boardroom to the lab. A proactive problem solver and collaborative team player who thrives in a fast-paced, interdisciplinary setting, ready to balance innovative risk with practical execution. Responsibilities Strategize with leadership and stakeholders to align AI innovations with business objectives-identifying risks, seizing opportunities, and driving measurable outcomes. Architect and lead the development of next-generation AI solutions, with a special focus on Agentic AI, deep learning models, and transformer-based LLMs. Build automated MLOps pipelines to ensure continuous integration, deployment, and monitoring of models across diverse data environments. Act as both a thought leader and an active contributor-publishing in high-impact journals, representing ServiceLink at industry events, and safeguarding our IP. Collaborate cross-functionally to ensure our AI systems are secure, scalable, and cost-effective, continuously refining them based on rigorous performance metrics Mentor and empower your peers, fostering a culture of innovation, resilience, and learning. All other duties as assigned. Qualifications Advanced degree (Master's or Ph.D.) in Computer Science, Engineering, or a related quantitative discipline, backed by 10+ years of relevant industry experience. Demonstrated expertise in Python and practical experience deploying advanced ML/AI solutions-including deep learning, LLMs, and Agentic AI-in production environments. Proficiency with modern cloud platforms (preferably Microsoft Azure) and a proven record of operationalizing AI via MLOps best practices. Strong ability to balance innovation with practicality, evaluating technical capabilities versus business and cost considerations. Excellent communicator with a knack for translating intricate technical strategies into clear, actionable plans. A collaborative mindset with a history of mentoring teams and building high-impact technology solutions.

Requisition ID: 915162 Store #: A00152 Tech Srvcs Wholesale DAL-T Position: Full-Time Total Rewards: Benefits/Incentive Information If you've worn a pair of glasses, we've already met. We are a global leader in the design, manufacture, and distribution of ophthalmic lenses, frames, and sunglasses. We offer our industry stakeholders in over 150 countries access to a global platform of high-quality vision care products such as the Essilor brand, with Varilux, Crizal, Eyezen, Stellest and Transitions, iconic brands that consumers love such as Ray-Ban, Oakley, Persol and Oliver Peoples, as well as a network that offers consumers high-quality vision care and best-in-class shopping experiences such as Sunglass Hut, LensCrafters, and Target Optical, and leading e-commerce platforms. Our portfolio of more than 150 renowned brands span various categories, from frames, lenses and instruments to brick and mortar and digital distribution as well as mid-range to premium segments. Our Shared Services Team, accompany and enable others within the EssilorLuxottica collective to achieve their targets. They keep people and projects running smoothly, ensuring every part of our business is provided for and well taken care of. Join our global community of over 200,000 dedicated employees around the world in driving the transformation of the eyewear and eyecare industry. Discover more by following us on LinkedIn!GENERAL FUNCTION The Applied Data Scientist is a business-facing analytics professional responsible for AI research and solution delivery. The role owns the full problem-to-solution journey: engaging stakeholders, translating business challenges into ML solutions, researching emerging AI techniques, and delivering production-ready models that drive measurable business value. It balances innovation with execution, ensuring outcomes are practical, scalable, and aligned to business needs. MAJOR DUTIES AND RESPONSIBILITIES Managing Engage with stakeholders to understand objectives, constraints, and success metrics Deliver end-to-end ML solutions from problem framing to production deployment Conduct applied research to evaluate and prototype new AI/ML techniques Prioritize between research and delivery based on business impact Manage model lifecycle: validation, monitoring, retraining, and optimization Organizing Translate ambiguous business problems into structured data science statements Organize exploratory analysis, experimentation, and research frameworks Structure scalable ML pipelines for training, inference, and deployment Develop proof-of-concepts to validate new AI techniques Convert insights and research outcomes into actionable recommendations Leading Drive solutions from research to production Act as a trusted analytics advisor through consultative problem-solving Promote adoption of ML solutions by communicating value and limitations Evaluate and adopt emerging AI/ML techniques Mentor junior team members on research and delivery best practices BASIC QUALIFICATIONS Bachelor's degree in Computer Science, Data Science, Statistics, or related field 5+ years of relevant work experience Proven experience delivering ML solutions in production Ability to work independently with stakeholders and own delivery Strong programming skills in Python or R; experience with ML libraries (scikit-learn, TensorFlow, PyTorch) Solid understanding of statistical modeling, ML techniques, and data mining PREFERRED QUALIFICATIONS Master's or PhD in Data Science, Statistics, or related discipline Experience in applied research and rapid prototyping of AI/ML solutions Exposure to advanced AI techniques (deep learning, generative AI, optimization) Experience deploying ML models using Docker, Kubernetes, or cloud-native services Familiarity with Azure, Databricks, Spark, Synapse, and Lakehouse architecture Strong storytelling and communication skills for technical and non-technical audiences Experience in agile, fast-paced, cross-functional environments Balance research depth with delivery focus Ability to evaluate and apply new AI techniques pragmatically Excellent listening and problem-solving skills Strong ownership mindset with minimal supervision Ability to translate complex research into business value This posting is for an existing vacancy within our business. Employee pay is determined by multiple factors, including geography, experience, qualifications, skills and local minimum wage requirements. In addition, you may also be offered a competitive bonus and/or commission plan, which complements a first-class total rewards package. Benefits may include health care, retirement savings, paid time off/vacation, and various employee discounts. EssilorLuxottica complies with all applicable laws related to the application and hiring process. If you would like to provide feedback regarding an active job posting, or if you are an individual with a disability who would like to request a reasonable accommodation, please call the EssilorLuxottica SpeakUp Hotline at ************ (be sure to provide your name, job id number, and contact information so that we may follow up in a timely manner) or email ********************************. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, gender, national origin, social origin, social condition, being perceived as a victim of domestic violence, sexual aggression or stalking, religion, age, disability, sexual orientation, gender identity or expression, citizenship, ancestry, veteran or military status, marital status, pregnancy (including unlawful discrimination on the basis of a legally protected pregnancy or maternity leave), genetic information or any other characteristics protected by law. Native Americans in the US receive preference in accordance with Tribal Law. .job Title{ display:none !important; } Nearest Major Market: Dallas Nearest Secondary Market: Fort Worth Job Segment: Ophthalmic, Social Media, Healthcare, Marketing

Job Title- Lead Data Scientist Department- Elevate, Digital Marketplace Reports to- VP, Software Engineering Who We Are- Founded in 1995, Elevate Aviation Group is the parent organization uniting Elevate Jet, Private Jet Services (PJS), and Elevate MRO under one standard of aviation excellence. We operate in the space between small operators and faceless corporations - large enough to deliver global capability, yet agile enough to provide true personal service. As we enter our fourth decade, we're revolutionizing how we approach the market, combining decades of operational expertise with modern technology to deliver certainty, safety, and seamless experiences across every stage of private aviation - from charter to acquisition, management, and maintenance. Summary of position- We are seeking a highly skilled Lead Data Scientist to lead efforts in analyzing market demand and dynamic pricing across the private jet charter ecosystem. This role plays a pivotal part in shaping our pricing algorithms, demand forecasts, and sourcing strategies that directly power our charter broker platform. Essential Duties & Responsibilities- * Develop and maintain pricing models that reflect real-time supply, demand, and market conditions. * Analyze historical booking patterns, aircraft availability, and operational costs to optimize instant-book pricing logic. * Collaborate with product managers, engineers, and revenue teams to design data-driven pricing features and dashboards. * Use machine learning, statistical modeling, and predictive analytics to forecast user demand and route popularity. * Automate data collection pipelines sourcing from internal systems, aviation APIs, and third-party data providers. * Design A/B tests and performance metrics to evaluate the success of pricing and recommendation models. * Translate scientific insights into actionable strategies that improve conversion rates, margin, and user satisfaction. * Build customer segmentation models to enable personalized experiences and targeted marketing * Track and report on key performance metrics including conversion rates, average booking value, and customer lifetime value Requirements Requirements- * Master's or PhD in Data Science, Statistics, Computer Science, or related field. * 8+ years of experience in applied data science, ideally in travel, mobility, logistics, or dynamic marketplace environments. * Strong proficiency in Python, SQL, and analytical libraries (Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch). * Experience designing and deploying pricing or forecasting models in production environments. * Excellent understanding of time-series analysis, demand elasticity modeling, and revenue optimization. * Proven ability to communicate complex models in clear, business-relevant terms. * Familiarity with aviation or charter scheduling data is a strong plus. Schedule & Travel- * The typical work schedule includes five 8-hour shifts assigned to one of the established schedules within the department. Nights, weekends and/or holidays may be required to support the needs of the organization. * Ability to travel as needed up to 10% Miscellaneous- * FLSA Status- Full Time Exempt * Lifting requirements- Up to 20lbs * U.S. work authorization is a precondition of employment. Applicants must be authorized to work for ANY employer in the U.S, both now and at all future times. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Elevate Aviation Group Elevate Aviation Group is a privately held aviation organization established in 1995, comprising Private Jet Services (PJS), Elevate Jet, and Elevate MRO. Together, these divisions serve every stage of private aviation, from first inquiry and flight planning to aircraft acquisition, management, and maintenance. We occupy a rare position in private aviation, combining the scale and resources of a national organization with the agility and discretion of a boutique firm. Operating at the standard of aviation excellence means holding our people to that same standard. Our teams anticipate needs, take ownership, and approach every mission with care, precision, and pride. In this world, the greatest cost is not the flight itself but the cost of not arriving when it matters most. As we enter our fourth decade, we are revolutionizing how we approach the market, building a technology-enabled system that empowers our people to focus on what they do best: anticipating problems before they occur so they never reach our clients, and providing a frictionless, calm experience from departure to destination. For nearly thirty years, we have supported some of the most defining moments in modern history-from presidential campaigns and global sporting events to world tours and humanitarian missions-all with an unwavering commitment to flawless execution. We are the architects of seamless arrival.

Navan is expanding its Fraud Risk Management organization to build world-class fraud detection, prevention, and analytics capabilities supporting our rapidly growing travel and expense businesses. We are seeking a highly skilled and visionary Staff / Senior Staff Data Scientist, Fraud, to design and scale advanced data science solutions that protect Navan's customers, platform, and financial ecosystem. This is a strategic and hands-on role, where you'll partner with other fraud strategy members, product, engineering, and data teams to design the ML features, build the rule workflow, build next-generation fraud models, develop actionable insights, and lead the application of AI/ML to mitigate emerging fraud threats both in expense card issuing and travel fraud. The ideal candidate combines deep technical expertise in machine learning and data systems with a strong understanding of payment, identity, and transactional fraud patterns. You'll report to the Head of Fraud Risk Data Science strategy and play a critical role in shaping Navan's end-to-end fraud detection infrastructure and analytical roadmap. What You'll Do: Lead the design and deployment of advanced ML features, build rule workflows to detect and prevent fraud across travel and expense. Lead the design and development of advanced ML and statistical models to detect, predict, and prevent fraudulent behavior across onboarding, payments, and expense workflows. Drive applied research in anomaly detection, network/graph modeling, real-time clustering, and link analysis to identify emerging fraud patterns and organized fraud rings. Partner cross-functionally with other Risk Strategy team members, Fraud operations, Engineering, and Product teams to translate insights into scalable prevention rules, thresholds, and model-driven interventions. Own model lifecycle management from feature engineering and experimentation to monitoring, model retraining, and post-deployment optimization. Perform root-cause and loss attribution analyses, identifying vulnerabilities and quantifying financial impact to inform control effectiveness and business risk appetite. Sign up for the stretch fraud loss goals and the ability to drive the roadmap to meet the goal. Collaborate with Data Engineering and Platform teams to define data schemas, pipelines, and infrastructure that enable real-time fraud monitoring and analytics. Mentor junior data scientists and fraud analysts, providing technical guidance and driving excellence in experimentation, model governance, and reproducibility. Contribute to the overall fraud strategy roadmap, helping evolve Navan's machine learning and analytics capabilities to stay ahead of emerging fraud trends. Partner with external vendors and third-party data sources to enrich detection signals and improve model precision and recall. What We're Looking For: 10+ years of experience in data science strategy, with a strong focus on fraud detection, risk modeling, or financial crime analytics. Deep technical expertise in machine learning, predictive modeling, anomaly detection, and network analysis applied to fraud problems. Proficiency in Python, SQL, and modern ML libraries. Experience with large-scale data environments such as Snowflake, Databricks, Spark, or equivalent big data platforms. Strong understanding of payment processing, card networks, identity verification, and behavioral fraud typologies (e.g., synthetic identities, ATO, friendly fraud, first-party fraud, third-party fraud, scams). Demonstrated success in developing and deploying ML models in production, including monitoring and score drift management. Familiarity with fraud detection tools, rule engines, and streaming data systems is a plus. Proven ability to communicate complex data science findings to technical and non-technical audiences, including executives. Experience collaborating in cross-functional teams that include Product, Engineering, and Fraud Operations. Master's or PhD in Computer Science, Statistics, Applied Mathematics, or related quantitative field.