Data science internship jobs in Scottsdale, AZ

We are seeking a Data Scientist to support advanced analytics and machine learning initiatives across the organization. This role involves working with large, complex datasets to uncover insights, validate data integrity, and build predictive models. A key focus will be developing and refining machine learning models that leverage sales and operational data to optimize pricing strategies at the store level. Day-to-Day Responsibilities Compare and validate numbers across multiple data systems Investigate discrepancies and understand how metrics are derived Perform data science and data analysis tasks Build and maintain AI/ML models using Python Interpret model results, fine-tune algorithms, and iterate based on findings Validate and reconcile data from different sources to ensure accuracy Work with sales and production data to produce item-level pricing recommendations Support ongoing development of a new data warehouse and create queries as needed Review Power BI dashboards (Power BI expertise not required) Contribute to both ML-focused work and general data science responsibilities Improve and refine an existing ML pricing model already in production Qualifications Strong proficiency with MS SQL Server Experience creating and deploying machine learning models in Python Ability to interpret, evaluate, and fine-tune model outputs Experience validating and reconciling data across systems Strong foundation in machine learning, data modeling, and backend data operations Familiarity with querying and working with evolving data environments

Introduction to the job ASML US brings together the most creative minds in science and technology to develop lithography machines that are key to producing faster, cheaper, more energy-efficient microchips. We design, develop, integrate, market and service these advanced machines, which enable our customers - the world's leading chipmakers - to reduce the size and increase the functionality of their microchips, which in turn leads to smaller, more powerful consumer electronics. Our headquarters are in Veldhoven, the Netherlands, and we have 18 office locations around the United States including main offices in Chandler, Arizona, San Jose and San Diego, California, Wilton, Connecticut, and Hillsboro, Oregon. The Customer Support (CS) organization is responsible for the installation, qualification, repair and maintenance of the ASML systems at customer sites and is responsible for the necessary transfer of know-how to the customer. Local Customer Support branches perform these tasks for the customers within the specific region. Your Assignment Understand the basics of semiconductor manufacturing, especially the Lithography manufacturing process and the importance of ASML's role. Learn about ASML's products and Applications Engineering team's approach to enable next node developments with our customers. Obtain customer service skills in an tech industry environment Interns will typically be required to document and present their findings as well as making an end of summer presentation to the group about what they achieved during their internship. Past projects have included: Identifying and documenting goals and targets (KPIs). Evaluating current processes and updating documentation to adhere to continuous improvement methodologies (LEAN/6 Sigma). Creating data visualizations to identify potential opportunities for automation (Tableau/Power BI/Python). Collaborating with Engineers from other areas and shifts to identify Best Known Methods (BKMs). Participating in projects to improve performance of the FAB. Education and experience Must be enrolled in a Masters or PhD program at the time of the internship. Preferred Majors: Physics, Optics, Electronics, Micro-electronics, Mechanical Engineering, Material Science Engineering, Computer Science, Electrical Engineering, Chemical Engineering or IC manufacturing. Minimum 6 months experience with MATLAB, Python, or equivalent data analysis software. You are able to clearly communicate status and progress of a project to the engineering and management team You thrive in frequent collaboration with our teams and customers Skills Working at the cutting edge of tech, you'll always have new challenges and new problems to solve - and working together is the only way to do that. You won't work in a silo. Instead, you'll be part of a creative, dynamic work environment where you'll collaborate with supportive colleagues. There is always space for creative and unique points of view. You'll have the flexibility and trust to choose how best to tackle tasks and solve problems. To thrive in this job, you'll need the following skills: Can learn and apply new information or skills. Must be able to read and interpret data, information, and documents. Ability to complete assignments with attention to detail and high degree of accuracy. Proven ability to perform effectively in a demanding environment with changing workloads and deadlines. Result driven-demonstrate ownership and accountability. Identifies bottlenecks and drives improvements. Work independently or as part of a team and follow through on assignments with minimal supervision. Demonstrate open, clear, concise and professional communication. Ability to establish and maintain cooperative working relationships with manager, co-workers and customer. Work according to a strict set of procedures within the provided timelines. This position requires access to controlled technology, as defined in the United States Export Administration Regulations (15 C.F.R. § 730, et seq.). Qualified candidates must be legally authorized to access such controlled technology prior to beginning work. Business demands may require ASML to proceed with candidates who are immediately eligible to access controlled technology. Inclusion and diversity ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company. Need to know more about applying for a job at ASML? Read our frequently asked questions. Request an Accommodation ASML provides reasonable accommodations to applicants for ASML employment and ASML employees with disabilities. An accommodation is a change in work rules, facilities, or conditions which enable an individual with a disability to apply for a job, perform the essential functions of a job, and/or enjoy equal access to the benefits and privileges of employment. If you are in need of an accommodation to complete an application, participate in an interview, or otherwise participate in the employee pre-selection process, please send an email to USHR_Accommodation@asml.com to initiate the company's reasonable accommodation process. Please note: This email address is solely intended to provide a method for applicants to initiate ASML's process to request accommodation(s). Any recruitment questions should be directed to the designated Talent Acquisition member for the position.

Job PurposeThe PJ Boatwright Internship was created by the United States Golf Association to provide an opportunity and education to individuals interested in seeking a career in golf administration. The internship is 6 months, and the intern will have an opportunity to work with all departments as part of the internship. AZ GOLF is seeking a motivated and detail-oriented Data and Technology Intern to support our data-driven initiatives and technology solutions. This internship offers hands-on experience with member data, CRM management, event support, and technology-driven marketing and engagement efforts. The ideal candidate is analytical, tech-savvy, and eager to contribute to enhancing member experiences and supporting organizational growth. Duties and ResponsibilitiesData Analytics o Utilize Hubspot Data and Member Behaviors to analyze trends, provide heat mapping, and reporting that will help to guide decision making.o Collaborate with cross-functional teams to identify opportunities for technology and process improvements. Database Enrichmento Utilize Hubspot tools to enrich member profiles to provide more accurate segmentation of the membership. Automations o Work with Member Services & Marketing & Communications teams to build/rebuild Hubspot Workflows to engage specific target markets (i.e. Members without an established Handicap Index). Member Outreach & Engagement Events o Provide preliminary support, onsite activation, and post-event follow-up for member services outreach and engagement events. Department Support o Assist other departments and learn other aspects of the business o USGA Services: World Handicap System, assist course rating teams and data input for course and slope ratingso Marketing and Communications: Assist with website integrationo Stakeholder Relations: Update membership and course directory Skills and Qualifications · Golf knowledge and background preferred. · Education or Experience with technology preferred · Experience with CRM platforms, mainly HubSpot, preferred. · Experience with data analysis and strategy preferred. · Experience with Microsoft Office is required. · Live in Phoenix Metro local area throughout the duration of internship. · Strong attention to detail and ability to work in team environment. Working Conditions · This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines. · Valid driver's license required. Willingness to travel and ability to drive company vehicles to tournaments. · Willingness and ability to work early mornings and weekends and work 40+ hours per week as required. · Must be able to lift 40 pounds and use tools needed to setup tent

Job Description Computer Science / Data Science Intern - Manufacturing Systems & Analytics Schedule: 20-40 hours per week Employment Type: Internship / Co-Op (Paid) About GTI Fabrication GTI Fabrication is investing heavily in manufacturing systems, data visibility, and operational analytics. This role supports the intersection of software, data, and manufacturing operations. Role Overview The Computer Science / Data Science Intern will support manufacturing analytics, systems integration, and reporting initiatives. This role works closely with operations, engineering, and business systems teams to turn raw production data into actionable insights. Key Responsibilities Support development of dashboards and reports for production, quality, and inventory metrics Assist with data extraction, cleaning, and analysis from ERP/MES systems Help automate manual reporting processes using scripts or tools Support basic SQL queries and data modeling efforts Participate in manufacturing systems improvement projects Document system workflows and data definitions Collaborate with engineering and operations teams to understand real-world data needs Qualifications Currently pursuing a degree in Computer Science, Data Science, Information Systems, or related field Able to work at least 20 hours per week Working knowledge of Python, SQL, or similar programming languages Strong analytical and problem-solving skills Interest in manufacturing systems, analytics, or industrial technology Experience with Power BI, Tableau, or similar tools is a plus What You'll Gain Real-world experience applying software and data skills in manufacturing Exposure to ERP, MES, and operational data systems Hands-on analytics projects tied to production outcomes Mentorship from systems and operations leaders

Established in 1991, Collabera has been a leader in IT staffing for over 22 years and is one of the largest diversity IT staffing firms in the industry. As a half a billion dollar IT company, with more than 9,000 professionals across 30+ offices, Collabera offers comprehensive, cost-effective IT staffing & IT Services. We provide services to Fortune 500 and mid-size companies to meet their talent needs with high quality IT resources through Staff Augmentation, Global Talent Management, Value Added Services through CLASS (Competency Leveraged Advanced Staffing & Solutions) Permanent Placement Services and Vendor Management Programs. Collabera recognizes true potential of human capital and provides people the right opportunities for growth and professional excellence. Collabera offers a full range of benefits to its employees including paid vacations, holidays, personal days, Medical, Dental and Vision insurance, 401K retirement savings plan, Life Insurance, Disability Insurance. Job Description Tasks and responsibilities: • Function point analysis. Functional side of a technical requirement. Gather information from technical teams…put data together - Really understand what the delivery teams are doing Documentation is correct. • Performs data analytics on various processes and projects to measure post-implementation performance. • Coordination, scheduling and facilitation of kick-off, validation and follow-up meetings. • Gathering of project documentation from SDLC Document Repository and user stories from Rally. • Extraction of quantitative project data for analysis of project level performance. • Preparation of reporting for review with Product Teams and ad hoc data requests. Preferred Additional Skills: • Proficient in MS Access and SQL Server • Strong financial acumen. Qualifications Required Skills: • Familiarity with SDLC documentation, process and tools. • Knowledge of project management methodologies (Waterfall and Agile) • Ability to analyze large populations of data, deciphers common themes, trends and outliers, and transform in to meaningful, actionable output. • Confident communicator. • Excellent analytical and problem solving skills. • Advanced MS Excel and MS PowerPoint skills • Bachelor's Degree in Computer Science, Information Systems, Business Administration, or other related field. Or equivalent work experience • 3 to 5 years of relevant technical or business work experience. Additional Information To know more on this position or to schedule an interview, please contact: Vishwas Jaggi ************

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent 8. 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R (minimum of 2 years with a Ph.D.) 9. 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights] **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $145,000/year to $204,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. We are looking for a motivated Data Scientist to help Datavant revolutionize the healthcare industry with AI. This is a critical role where the right candidate will have the ability to work on a wide range of problems in the healthcare industry with an unparalleled amount of data. You'll join a team focused on deep medical document understanding, extracting meaning, intent, and structure from unstructured medical and administrative records. Our mission is to build intelligent systems that can reliably interpret complex, messy, and high-stakes healthcare documentation at scale. This role is a unique blend of applied machine learning, NLP, and product thinking. You'll collaborate closely with cross-functional teams to: + Design and develop models to extract entities, detect intents, and understand document structure + Tackle challenges like long-context reasoning, layout-aware NLP, and ambiguous inputs + Evaluate model performance where ground truth is partial, uncertain, or evolving + Shape the roadmap and success metrics for replacing legacy document processing systems with smarter, scalable solutions We operate in a high-trust, high-ownership environment where experimentation and shipping value quickly are key. If you're excited by building systems that make healthcare data more usable, accurate, and safe, please reach out. **Qualifications** + 3+ years of experience with data science and machine learning in an industry setting, particularly in designing and building NLP models. + Proficiency with Python + Experience with the latest in language models (transformers, LLMs, etc.) + Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc. + Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow + Industry experience shepherding ML/AI projects from ideation to delivery + Demonstrated ability to influence company KPIs with AI + Demonstrated ability to navigate ambiguity **Bonus Experience** + Experience with document layout analysis (using vision, NLP, or both). + Experience with Spark/PySpark + Experience with Databricks + Experience in the healthcare industry **Responsibilities** + Play a key role in the success of our products by developing models for document understanding tasks. + Perform error analysis, data cleaning, and other related tasks to improve models. + Collaborate with your team by making recommendations for the development roadmap of a capability. + Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines. + Understand product use-cases and define key performance metrics for models according to business requirements. + Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.). **After 3 Months, You Will...** + Have a strong grasp of technologies upon which our platform is built. + Be fully integrated into ongoing model development efforts with your team. **After 1 Year, You Will...** + Be independent in reading literature and doing research to develop models for new and existing products. + Have ownership over models internally, communicating with product managers, customer success managers, and engineers to make the model and the encompassing product succeed. + Be a subject matter expert on Datavant's models and a source from which other teams can seek information and recommendations. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $136,000-$170,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .

Job Description is hybrid in Phoenix, AZ - with some time spent in office for meetings. In Person interview is required. Our direct client has an opening for a Data Analyst 5681. is up to 12 months with the option of extension. The client is in Phoenix, AZ. Please send us your rate and resume. 50% - Develop test plans/scenarios/cases/scripts to ensure appropriate test coverage. Provide direction to developers to implement solutions per requirements. Execute testing based upon documented test cases/scripts and ensure applications tested meet customer defined business requirements per documented user acceptance criteria. Conduct user acceptance testing with end users to ensure implemented solution meets expectations. Document and track software defects as well as issues with performance and usability. 30% - Identify, evaluate, and document business needs and objectives, operational processes and procedures, problems and requirements. Understand the business case, and gaps in documented business process (as is vs. to be). Perform requirements elicitation/documentation/management, as well as use case documentation (standard, alternate, and error) to assist developers in creation of solutions to meet business objectives. Leverage understanding to document meaningful user acceptance criteria for user stories. Capable of facilitating communication between stakeholders from all levels of the organization while objectively identifying and resolving conflict. 20% - Identify and document processes and procedures related to Business Analysis and Quality Assurance standards, including opportunities for improvement. Identify candidates for test automation, document test flow and data requirements/dependencies, and implement using approved tools. Required Skills • Windows Server Experience • SDLC - Agile (Scrum, Kanban) Experience • Intermediate Visual Studio/TFS/VSTS Experience • Intermediate VSTS Experience • Intermediate STLC Experience • Intermediate .Net Applications, ETL Experience • Intermediate SQL Server 2008 R2 & 2016 Experience • SSIS/SSRS Experience • Backend database testing to include: tables/views • Intermediate MS Office (Word, Excel, PowerPoint, Access) Experience Nice-To-Have Skills • Backend database testing to include: indexes, triggers, stored procedures, packages • Experience with API testing • Experience with Automated testing

** Turner & Townsend is a global professional services company with over 22,000 people in more than 60 countries. Working with our clients across real estate, infrastructure, energy and natural resources, we transform together delivering outcomes that improve people's lives. Working in partnership makes it possible to deliver the world's most impactful projects and programs as we turn challenge into opportunity and complexity into success. Our capabilities include program, project, cost, asset and commercial management, controls and performance, procurement and supply chain, net zero and digital solutions. We are majority-owned by CBRE Group, Inc., the world's largest commercial real estate services and investment firm, with our partners holding a significant minority interest. Turner & Townsend and CBRE work together to provide clients with the premier program, project and cost management offering in markets around the world. **Job Description** **Turner & Townsend** are engaged to support our client with many complex projects, and we are seeking the ideal **Construction Cost Data Analyst** responsible for data management, analytics and dashboard reporting development for our technology client's Global Data Center Portfolio. As part of this role, you may also be required to perform cost management duties for related projects. **Responsibilities:** + Analyze cost trends, issues and opportunities for a global data center portfolio. Projects are across various regions, in different construction stages and ranging from small colocation fit-out to large hyperscale lease. + You will likely perform a variety of analyses such as benchmarking, trend identification, growth forecasting to add value to problem-solving discussions. + Provide insights and/or recommendations based on analysis to facilitate internal initiatives. + Ability to present analysis findings in a clear concise and professional manner. + Identify ways to improve and streamline processes with the use of software tools and/or automation. + Review contractor and subcontractor pricing against benchmarks, including identifying and negotiating outliers. + Develop and maintain project cashflow forecasts and accruals on a monthly basis. + Analyze project budgets against program-wide benchmarks and ongoing cost trends. + If necessary, provide recommendations to the client on project funding needs based on those benchmarks and cost trends. + Support the client in compiling information required for capital planning requests (funding). + SOX control responsibilities may be part of this role, which are to be adhered to where applicable. **Qualifications** + Minimum of 4 years of using technical skills such as benchmarking, data modeling, and statistical methods to solve problems. + Previous commercial experience in data center or industrial / manufacturing projects. + Advanced software skills in Excel and Power BI Dashboards. + UAT/QA experience is helpful. + Strong presentation skills and ability to thrive in a client-facing role. + Good organization skills, ability to multi-task, prioritize, and be a team player. **Additional Information** **_*On-site presence and requirements may change depending on our clients' needs.*_** _Our inspired people share our vision and mission. We provide a great place to work, where each person has the opportunity and voice to affect change._ _We want our people to succeed both in work and life. To support this we promote a healthy, productive and flexible working environment that respects work-life balance._ _Turner & Townsend is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and actively encourage applications from all sectors of the community._ _Please find out more about us at_ _*************************** _Turner & Townsend does not accept any speculative or unsolicited CV's that have been sent to our internal recruitment team or hiring managers from agencies outside of our preferred supplier list or that have not followed due process. Any speculative or unsolicited CV's will be treated as a direct application._ _All your information will be kept confidential according to EEO guidelines._ \#LI-MB1 Join our social media conversations for more information about Turner & Townsend and our exciting future projects: Twitter (*********************************** Instagram LinkedIn (**************************************************** _It is strictly against Turner & Townsend policy for candidates to pay any fee in relation to our recruitment process. No recruitment agency working with Turner & Townsend will ask candidates to pay a fee at any time._ _Any unsolicited resumes/CVs submitted through our website or to Turner & Townsend personal e-mail accounts, are considered property of Turner & Townsend and are not subject to payment of agency fees. In order to be an authorised Recruitment Agency/Search Firm for Turner & Townsend, there must be a formal written agreement in place and the agency must be invited, by the Recruitment Team, to submit candidates for review._

DPR Construction is seeking a Business Intelligence Analyst to support our Self Perform Work entity within DPR. The Self Perform Work (SPW) division of DPR directly hires and manages craft workforces to perform certain scopes of work. These scopes of work include Concrete, Drywall, Electrical, Interiors, Waterproofing, and more. This role will be the primary data analyst, supporting our SPW division. As such, you will be responsible for engaging with stakeholders throughout our SPW group, including front-line field supervisors, craft foreman, project managers, project executives, and corporate leadership. This role is responsible for working closely with cross-functional teams, building relationships, identifying pain points, creating and driving data strategies, and delivering actionable insights. This role is part of the Data Analytics (DA) team and will ensure DPR is moving towards data-driven decisions based on insights derived from integrated business processes, systems, and analytics. Responsibilities Strategic Partnership / Roadmap / Execution / Delivery * Be a collaborative partner with both our direct SPW business partners, as well as the many other parts of the business that SPW touches, to align DA efforts with business objectives and goals * Create, maintain, and execute on the data analytics roadmap for SPW in alignment with overall goals and objectives * Drive conversations with stakeholders to fully understand and document pain points. Drive strategic conversations focusing on successful outcomes and actions they are trying to drive * Develop and maintain relationships with business stakeholders and a deep understanding of their processes, tools, and goals. * Apply your own knowledge of construction management and self-perform work to provide guidance and leadership on the development of data driven insights with our SPW business leaders, and front-line managers. * Be a proactive leader in the development and implementation of solutions to current pain points. Listen to a variety of voices and comments, and develop best-in-class long-term solutions, not just quick fixes. Visualization / Storytelling: * Work with stakeholders to understand and align on business requirements * Create and maintain dashboards and Apps, as required * Deliver actionable insights to improve business processes and drive strategic conversations * Track and monitor usage metrics to understand and measure adoption/impact of analytics * Complete Ad-Hoc Analysis as required Troubleshoot Issues / Failures: * Identify root source of data integrity issues (report, DFL, data warehouse, source system) * Troubleshoot and solution data integrity issues in visualization tool Data Modeling and ETL: * Create complex data models in visualization tools, and make transformations as needed * Query Data Warehouse using SQL to quickly analyze datasets * Clean data, as required * Identify potential new datasets to add to the Data Warehouse * Identify potential new integrations between source systems and the Data Warehouse * Work with Technical Analysts to build requirements for views in DBT and the data warehouse Documentation * Work with Data Engineering in the development and maintenance of the data catalog * Create and maintain documentation of queries, transformations, and refreshes for reports Security / Governance * Follow, implement, and enhance data security and governance guidelines * Create, maintain, and implement security for DFLs * Review requests and grant access to DFLs, Reports, and Apps, as needed * Create and maintain RLS in visualization tool, where needed * Work with business stakeholders to understand and set security requirements, with regards to build access and view access Change Management * Complete impact analysis on reports when changes are made to source systems or tables upstream * Identify, quantify, and communicate impacts to stakeholders and customers Coordination / Collaboration / Prioritization * Identify opportunities for data collaboration and integration between disciplines * Coordinate alignment, as applicable, across other T&I groups * Identify opportunities for AI/ML/Data Science efforts and work with those teams on project delivery * Work with stakeholders to prioritize requests and initiatives based on business impact and resourcing * Participate in Integrated Workgroup meetings to align support functions Training / Data Literacy * Train end-users on how to use and interpret information/insights on deployed dashboards/reports * Train end-users on how to build reports themselves * Provide "on-the-job' training to business stakeholders when needed * Work with Data Engineering and others to develop and maintain tool for Self Service Analytics * Increase data literacy of business stakeholders through targeted trainings and conversations * Identify opportunities to improve data literacy throughout DPR Data SME * Operate as the Subject Matter Expert for the business across data availability, quality, processes, and technology * Maintain understanding of our data pipeline architecture to be able to articulate why we use it and its benefits/limitations for end users * Ensure source of truth system(s) are identified and operational Qualifications * Master's degree in Business Analytics, Data Analytics, Engineering, Architecture, Construction Management or related, plus three (3) years of experience in the application of data to solve problems, or Bachelor's degree in one of the above plus five (5) years of experience. * Experience with the construction industry, including knowledge of industry trends, terminology, and typical processes, is strongly preferred. * Experience with self-perform teams, including running or managing a craft workforce, is strongly preferred. * Experience with construction project controls, including Earned Value Management, productivity management, schedule management, and cost management, is strongly preferred. * Passion for the use of data and business intelligence principles and their ability to optimize business outcomes. * Proven track record of translating business pain points into data requirements and identifying and solving complex problems with data. * Proven analytic skills, including data mining, evaluation, analysis, and visualization. * Ability to create data models and understand dependencies between source systems. * Experience in data visualization/BI tools - Power BI required - including creating and maintaining dataflows. * Experience with consuming APIs from the client side including REST and GraphQL. * Experience with SQL scripting required. * Advanced business acumen and working knowledge of typical company operations, including how business decisions are evaluated, and the ability to apply this understanding to identify opportunities for improved decision making. * Excellent organizational, leadership, interpersonal, communication (written, verbal and visual), and analytical skills are needed. * Demonstrated success in building trusted relationships with internal/external clients and customers. * A drive to do what it takes to get the job done, including taking on different roles and responsibilities and adapting to changing environments. Applicants: In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Salary is just one component of DPR's total compensation package. Pay Ranges based on DPR Office Locations: Phoenix, Tucson-AZ; Atlanta, GA; North Carolina; Greenville, SC; Florida; Nashville, TN, Richmond, VA : $100,332-$143,332 Sacramento, CA; San Diego, CA; Texas; Colorado; Wyoming, New Jersey; Philadelphia, PA: $110,336-$189,198 Seattle, WA; Boston, MA; DMV; SoCal: $120,399-$206,398 Bay Area, CA; Santa Clara, CA; NYC; Fremont, CA: $130,432- $223,598 DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at ********************

Data Analyst 4 Job ID: 21-11545 Client is seeking a Data Analyst to coordinate changes to computer databases, test, and implement the database applying knowledge of database management systems. Job Responsibilities: * Expert level knowledge and experience in complex database structure (preferably in MDM and EDW environment) * Must have experience writing complex SQL (preferably ORACLE) and experience in Microsoft products - Excel, PowerPoint and Visio * Must have experience in Analyzing Data Quality, Control and Health Check. * Identified DQ gaps for various (in few 100s) existing "DQ Health Check batches" * Independent and pro-active while able to make decision and handle pressure in fast pace environment * Drive projects from discovery phase to solution proposal to delivery and Coordinate with all impacted line of businesses, IT Partners and various work streams * Prior experience in Banking and Finance preferred * Prior PM experience will be helpful * Thorough understanding and application of principles, standards, industry practices, techniques and concepts * Exercises judgment in selecting methods, techniques and evaluation criteria for obtaining results. * Demonstrated ability to develop solutions to highly complex and diverse analytical problems which requires an in-depth evaluation of variable factors. * Must have solid organizational skills, with the ability to handle complex projects in a multi-tasking environment and meet deadlines with quality results. * Job details *

The main responsibilities of this role include - Assist in the preparation of reports and building complex data models Devise new data collection and analysis processes Work with key stakeholders to priorities information needs Analyse results and report findings to the business Identify and interpret trends or patterns in complex data sets Develop strategies to optimise the quality of statistical results Maintain database Research background materials, including relevant economic and financial data Assist in the development of long-range financial forecasts and related budgets The Successful Applicant The Successful Applicant will have the following - Bachelors degree in Business / Commerce or related discipline Ideally 1-3 years of experience, however, will also consider graduates straight from University Intermediate Excel skills Strong analytic skills and problem solving Strong communication skills Proficient in Power BI (preferred) What's on Offer New office currently being built Opportunity to develop and enhance career flexible working arrangements Work closely with the CFO Attractive remuneration and bonus Flexible working arrangements

Data Scientist Post Available Only to Americans American, Off-grid From here, our viewpoint is that the creative staff is committed to using data to reach findings that inspire fresh ideas. Data is about far more than simply numbers for us; it's the secret to revealing latent opportunities, overcoming tough obstacles, and future industry charting. We want a data scientist driven by data who can explore datasets, identify fresh trends, and apply their knowledge to actually change things. If you enjoy the chance to spin stories out of unprocessed data, join our team! What then is your strategy? Like a detective, examine challenging data looking for trends, connections, and patterns that could support corporate strategy. Exercises your critical thinking to investigate closely and develop reasonable answers. Create and polish machine learning models capable of forecasting consumer trends and actions, therefore contributing significantly to corporate decision-making. Work creatively with others: Work collaboratively with teams in marketing, engineering, and products to grasp corporate goals and create data-driven answers to actual problems. Set up automated data pipelines. Building effective and adaptable data pipelines that automatically transfer data can help to improve the availability and value of data. Share Knowledge: Present complicated data results clearly and attractingly to technical teams and non-technical stakeholders. Your aim should be for every piece of data to be simply understandable. By always learning fresh approaches, tools, and algorithms, keep ahead of the curve. You will make sure we remain competitive always by keeping us at the forefront of data practice innovation. Finding and resolving discrepancies helps one to guarantee that the data utilized for analysis is accurate, high-quality, and uncompromised. Our intended result: Potential applicants for this post could be Americans only. Data science, machine learning, or a similar discipline calls for minimum two to three years of pertinent professional experience. Statistical techniques, data analysis, and model development all flow naturally to you. Technical Mastery: You speak Python, R, and SQL rather well among other programming languages. Good usage of machine learning libraries including PyTorch, TensorFlow, or scikit-learn is appreciated. Using Tableau, Power BI, and Matplotlib, you are a master at visually appealing and intelligible presenting challenging data. According to the analytical perspective, one can see the possible insights by closely reviewing unprocessed data. Constantly asking "why" questions regarding the figures helps you to strengthen your critical thinking abilities. Your creative approach helps you to turn facts into strategic advantage and generate original answers to problems. You like collaborating with others whether you are developing fresh ideas or presenting your results to non-technical aware stakeholders. Your painstaking attention to detail helps the data you handle to be of the best quality and accuracy. Our Motives for Your Contentment in Comprising Our Team Working remotely in the US allows you to enjoy your freedom in juggling job and personal life. Join a team that celebrates uniqueness and creativity to start fresh ideas and assume leadership responsibilities. Development in Your Profession: We provide you various chances to pick up fresh skills, broaden your knowledge in a profession always changing, and progress in your employment. We provide a competitive pay, a whole benefits package, and wellness incentives to guarantee your health and happiness. You will directly influence the course of our company since you own its future. Your efforts will help to shape it. Approaches for Application: Are you ready to use data's power and change things? Your answer would really be much valued. Add a quick cover letter outlining your interest in data science and noting how your background fits the position. Note: Only US applicants are eligible for this post.

Summary/objective We are seeking a highly skilled Data Scientist to focus on building and deploying predictive models that identify customer churn risk and upsell opportunities. This role will play a key part in driving revenue growth and retention strategies by leveraging advanced machine learning, statistical modeling, and large-scale data capabilities within Databricks. Why Join Us? Be at the forefront of using Databricks AI/ML capabilities to solve real-world business challenges. Directly influence customer retention and revenue growth through applied data science. Work in a collaborative environment where experimentation and innovation are encouraged. Core Job Duties: Model Development * Design, develop, and deploy predictive models for customer churn and upsell propensity using Databricks ML capabilities. * Evaluate and compare algorithms (e.g., logistic regression, gradient boosting, random forest, deep learning) to optimize predictive performance. * Incorporate feature engineering pipelines that leverage customer behavior, transaction history, and product usage data. Data Engineering & Pipeline Ownership * Build and maintain scalable data pipelines in Databricks (using PySpark, Delta Lake, and MLflow) to enable reliable model training and scoring. * Collaborate with data engineers to ensure proper data ingestion, transformation, and governance. Experimentation & Validation * Conduct A/B tests and back testing to validate model effectiveness. * Apply techniques for model monitoring, drift detection, and retraining in production. Business Impact & Storytelling * Translate complex analytical outputs into clear recommendations for business stakeholders. * Partner with Product and Customer Success teams to design strategies that reduce churn, increase upsell and improve customer retention KPIs. Minimum Qualifications: * Master's or PhD in Data Science, Statistics, Computer Science, or related field (or equivalent industry experience). * 3+ years of experience building predictive models in a production environment. * Strong proficiency in Python (pandas, scikit-learn, PySpark) and SQL. * Demonstrated expertise using Databricks for: * Data manipulation and distributed processing with PySpark. * Building and managing models with MLflow. * Leveraging Delta Lake for efficient data storage and retrieval. * Implementing scalable ML pipelines within Databricks' ML Runtime. * Experience with feature engineering for behavioral and transactional datasets. * Strong understanding of customer lifecycle analytics, including churn modeling and upsell/recommendation systems. * Ability to communicate results and influence decision-making across technical and non-technical teams. Preferred Qualifications: * Experience with cloud platforms (Azure Databricks, AWS, or GCP). * Familiarity with Unity Catalog for data governance and security. * Knowledge of deep learning frameworks (TensorFlow, PyTorch) within Databricks. * Exposure to MLOps best practices (CI/CD for ML, model versioning, monitoring). * Background in SaaS, subscription-based businesses, or customer analytics. Physical Demands Prolonged periods of sitting at a desk and working on a computer. Must be able to lift up to 15 pounds. Travel Required: Limited Work Authorization: Employees must be legally authorized to work in the United States. FLSA Classification: Exempt Location: Any Effective Date: 9/16/2025 About isolved isolved is a provider of human capital management (HCM) solutions that help organizations recruit, retain and elevate their workforce. More than 195,000 employers and 8 million employees rely on isolved's software and services to streamline human resource (HR) operations and deliver employee experiences that matter. isolved People Cloud is a unified yet modular HCM platform with built-in artificial intelligence (AI) and analytics that connects HR, payroll, benefits, and workforce and talent management into a single solution that drives better business outcomes. Through the Sidekick Advantage, isolved also provides expert guidance, embedded services and an engaged community that empowers People Heroes to grow their companies and careers. Learn more at ******************* isolved is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. isolved is a progressive and open-minded meritocracy. If you are smart and good at what you do, come as you are. Visit ************************** for more information regarding our incredible culture and focus on our employee experience. Visit ************************* for a comprehensive list of our employee total rewards offerings.

Title: Data Scientist Department: Baseball Operations Reporting to: Assistant GM, Baseball Development & Technology Job Classification: Full-time, Exempt Full-time Location (City, State): Mesa, AZ About the A's: The A's are a baseball team founded in 1901. They have a rich history, having won nine World Series championships and 15 American League pennants. The A's are known for pioneering the "Moneyball" approach to team-building, which focuses on using statistical analysis to identify undervalued players. In addition to their success on the field, the A's also have a positive and dynamic work culture. They have been recognized twice as the Front Office Sports, Best Employers in Sports. The A's are defined by their core pillars of being Dynamic, Innovative, and Inclusive. Working for the A's offers the opportunity to be part of an innovative organization that values its employees and strives to create a positive work environment. Description: The A's are hiring for a full-time Data Scientist for the Baseball Operations Department. The Data Scientist will construct statistical models that inform decision-making in all facets of Baseball Operations. This position requires strong experience in statistics, data analytics, and computer science. This position is primarily based out of Mesa, AZ. Responsibilities: Design, build, and maintain predictive models to support player evaluation, acquisition, development, and performance optimization. Collaborate with Baseball Analytics staff to integrate analytical findings into decision-making tools and ensure seamless implementation. Analyze and synthesize large-scale data, creating actionable insights for stakeholders within Baseball Operations. Research and implement advanced statistical methods, including time series modeling, spatial statistics, boosting models, and Bayesian regression, to stay on the cutting edge of sabermetric research. Develop and maintain robust data modeling pipelines and workflows in cloud environments to ensure scalability and reliability of analytical outputs. Produce clear, concise written reports and compelling data visualizations to communicate insights effectively across diverse audiences. Stay current with advancements in data science, statistical methodologies, and player evaluation techniques to identify and propose new opportunities for organizational improvement. Mentor team members within the Baseball Operations department, fostering a collaborative and innovative research environment. Requirements: PhD in Mathematics, Statistics, Computer Science, or a related quantitative field. Proficiency in SQL, R, Python, or other similar programming languages. Strong understanding of modern statistical and machine learning methods, including experience with predictive modeling techniques. Proven experience productionizing machine learning models in cloud environments. Ability to communicate complex analytical concepts effectively to both technical and non-technical audiences. Demonstrated ability to independently design, implement, and present rigorous quantitative research. Passion for sabermetric research and baseball analytics with a deep understanding of player evaluation methodologies. Strong interpersonal and mentoring skills with a demonstrated ability to work collaboratively in a team-oriented environment. Preferred Qualifications: Expertise in time series modeling, spatial statistics, boosting models, and Bayesian regression. Previous experience in sports analytics, ideally baseball, is a plus. Familiarity with integrating biomechanical data into analytical frameworks. The A's Diversity Statement: Diversity Statement Diversity, Equity, and Inclusion are in our organizational DNA. Our commitment to these values is unwavering - on and off the field. Together, we continue to build an inclusive, innovative, and dynamic culture that encourages, supports, and celebrates belonging and amplifies diverse voices. Combining a collaborative and innovative work environment with talented and diverse team members, we've created a workforce in which every team member has the tools to reach their full potential. Equal Opportunity Consideration: We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.

JobID: 210686904 JobSchedule: Full time JobShift: Day : Join a powerhouse team at the forefront of Home Lending Data & Analytics, where we partner with Product, Marketing, and Sales to solve the most urgent and complex business challenges. Our team thrives in a fast-paced, matrixed environment, driving transformative impact through bold analytics and innovative data science solutions. We are relentless in our pursuit of actionable insights, seamlessly engaging with stakeholders and redefining what's possible through strategic collaboration and visionary problem solving. If you're ready to shape the future of home lending with breakthrough ideas and data-driven leadership, this is the team for you. We are seeking a senior Data Scientist Lead to join our Home Lending Data & Analytics team, supporting Originations Product Team. This strategic role requires a visionary leader with a consulting background who excels at translating complex data into actionable business insights. The ideal candidate will be a recognized thought leader, demonstrating exceptional critical thinking and problem-solving skills, and a proven ability to craft and deliver compelling data-driven stories that influence decision-making at all levels. Success in this role requires not only technical expertise, but also the ability to inspire others, drive innovation, and communicate insights in a way that resonates with both technical and non-technical audiences. Key Responsibilities: * Identify, quantify, and solve obstacles to business goals using advanced business analysis and data science skillsets. * Recognize and communicate meaningful trends and patterns in data, delivering clear, compelling narratives to drive business decisions. * Serve as a data expert and consultant to the predictive modeling team, identifying and validating data sources. * Advise business and technology partners on data-driven opportunities to increase efficiency and improve customer experience. * Proactively interface with, and gather information from, other areas of the business (Operations, Technology, Finance, Marketing). * Extract and analyze data from various sources and technologies using complex SQL queries. * Summarize discoveries with solid data support and quick turnaround, tailoring messages for technical and non-technical audiences. * Influence upward and downward-mentor junior team members and interface with business leaders to drive strategic initiatives. * Foster a culture of innovation, attention to detail, and results within the team. Qualifications: * 6+ years of experience in business strategy, analytics, or data science. * 2+ years of experience in business management consulting. * Strong experience with SQL (query/procedure writing). * Proficiency in at least one versatile, cross-technology tool/language: Python, SAS, R, or Alteryx. * Demonstrated ability to craft compelling stories from data and present insights that influence decision-making. * Clear and succinct written and verbal communication skills, able to frame and present messages for different audiences. * Critical and analytical thinking, with the ability to maintain detail focus and retain big picture perspective. * Strong Microsoft Excel skills. * Ability to work independently, manage shifting priorities and projects, and thrive in a fast-paced, competitive environment. * Excellent interpersonal skills to work effectively with a variety of individuals, departments, and organizations. * Experience mentoring or leading teams is highly desirable. Preferred Background: * Experience in Mortgage Banking or Financial Services industry preferred. * Previous experience in consulting, with exposure to a variety of industries and business challenges. * Track record of successful stakeholder engagement and change management. * Recognized as a thought leader, with experience driving strategic initiatives and innovation.

**Req number:** R6105 **Employment type:** Full time **Worksite flexibility:** Remote **Who we are** CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right-whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise. **Job Summary** As a Data Analyst Intern, you will work within our technical data analytics team, focusing on analyzing existing customer data. You will have the opportunity to apply your analytical skills to discover patterns and insights that will help drive business strategies and improve customer experiences. **Job Description** We are seeking a motivated and detail-oriented **Data Analyst Intern** to join our team and contribute to impactful data analysis projects. This role is a **full-time internship role and is remote** . The internship dates are June 1, 2026 to July 31 2026. **This internship is a full-time opportunity requiring a commitment of** **40 hours** **per week.** **Candidates must be available during core business hours (8:30 am EST to 5:00 pm EST) for the entire 9-week duration of the program.** **Please note that all work must be performed within the United States.** **This position does not offer work authorization sponsorship now or in the future. Candidates requiring sponsorship will not be considered.** **What** **You'll** **Do** + Assist in collecting, processing, and analyzing large datasets to extract meaningful insights + Collaborate with cross-functional teams to understand data requirements and deliver actionable analytics + Develop and maintain dashboards and reports to communicate findings to stakeholders + Utilize statistical techniques and data analysis tools to identify trends and patterns in customer data + Support the team in ad hoc analysis and reporting requests **What** **You'll** **Need** Required: + Current Junior pursuing a degree in Computer Science or a related field + Minimum GPA of 3.5 or higher + Strong analytical skills and experience with data patterns and trends + Excellent critical thinking and problem-solving abilities + Familiarity with data analytics tools and techniques + Passion for working with data and a keen interest in customer data analysis Preferred: + Understanding data engineering, data warehousing, and ETL processes + Familiarity with Python, Java, or Scala + Familiarity with Azure data storage + Exposure to data storage technologies such as SQL databases, NoSQL databases, and data lakes. + Familiarity with cloud platforms (AWS or Azure,) and related data services **Physical Demands** + Ability to safely and successfully perform the essential job functions consistent with the ADA and other federal, state, and local standards + Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc. + Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor The pay for this position is $20 per hour (USD). Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages for this role will include medical coverage as well as 401k retirement account access. Employees in this role may also be entitled to paid sick leave and/or other paid time off as provided by applicable law. \#DNP **Reasonable accommodation statement** If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 - 8111. The pay range for this position is listed above. Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages for this role will include medical coverage as well as 401k retirement account access. Employees in this role may also be entitled to paid sick leave and/or other paid time off as provided by applicable law.

The Shamrock Students Professional Internship Program is an 11-week program focused on hands-on training in a variety of opportunities throughout the Shamrock Foods Company enterprise. As a Shamrock Student, you will be a part of a cohort of interns focused on real projects that impact the business. In addition to the work, you will do to support your department, you'll get to know your fellow interns through a variety of collaborative projects and events. Essential Duties: * Provide support for the data and analytics team in an accurate and timely manner * Build and transform datasets to support data modeling and analysis needs. * Assist in developing and evaluating machine learning models and experiments. * Support data pipeline creation, including data ingestion, validation, and structuring. * Other duties as assigned Qualifications: * 1+ year(s) educational experience and currently pursuing a degree from an accredited college or university with a focus on Data and Analytics, Business Analytics, Statistics, Computer Science, or related studies * Maintains a minimum GPA of 3.0 * Must live in or near Phoenix, AZ * Strong written and oral communication skills * Strong sense of urgency and accountability * Demonstrates expertise in Microsoft Office suite (Excel, Outlook, Word) * Ability to learn and act in a fast-paced environment * Effective task management * High level of motivation and adaptability * Great attitude and desire to learn and grow Corporate Summary: At Shamrock Foods Company, people come first - our associates, our customers, and the families we serve across the nation. A privately-held, family-owned and -operated Forbes 500 company, Shamrock is an innovator in the food industry and has been since being founded in Arizona in 1922. Our Mission: At Shamrock Foods Company, we live by our founding family's motto to 'treat associates like family and customers like friends.' Why intern for us? Shamrock Foods Company is committed to a program that goes beyond your typical internship experience, giving interns the opportunity to start their career path. We offer great training and growth for college students to help interns apply their education towards solving business problems and working on hands-on projects in a workplace environment. Our interns are more than a temporary associate; they become part of our family. Equal Opportunity Employer At Shamrock Foods Co all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status, sexual orientation, gender identity or any other basis protected by applicable law.

The Shamrock Students Professional Internship Program is an 11-week program focused on hands-on training in a variety of opportunities throughout the Shamrock Foods Company enterprise. As a Shamrock Student, you will be a part of a cohort of interns focused on real projects that impact the business. In addition to the work, you will do to support your department, you'll get to know your fellow interns through a variety of collaborative projects and events. Essential Duties: Provide support for the data and analytics team in an accurate and timely manner Build and transform datasets to support data modeling and analysis needs. Assist in developing and evaluating machine learning models and experiments. Support data pipeline creation, including data ingestion, validation, and structuring. Other duties as assigned Qualifications: 1+ year(s) educational experience and currently pursuing a degree from an accredited college or university with a focus on Data and Analytics, Business Analytics, Statistics, Computer Science, or related studies Maintains a minimum GPA of 3.0 Must live in or near Phoenix, AZ Strong written and oral communication skills Strong sense of urgency and accountability Demonstrates expertise in Microsoft Office suite (Excel, Outlook, Word) Ability to learn and act in a fast-paced environment Effective task management High level of motivation and adaptability Great attitude and desire to learn and grow Corporate Summary: At Shamrock Foods Company, people come first - our associates, our customers, and the families we serve across the nation. A privately-held, family-owned and -operated Forbes 500 company, Shamrock is an innovator in the food industry and has been since being founded in Arizona in 1922. Our Mission: At Shamrock Foods Company, we live by our founding family's motto to 'treat associates like family and customers like friends.' Why intern for us? Shamrock Foods Company is committed to a program that goes beyond your typical internship experience, giving interns the opportunity to start their career path. We offer great training and growth for college students to help interns apply their education towards solving business problems and working on hands-on projects in a workplace environment. Our interns are more than a temporary associate; they become part of our family. Equal Opportunity Employer At Shamrock Foods Co all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status, sexual orientation, gender identity or any other basis protected by applicable law.