Data science internship jobs in Buford, GA - 633 jobs

Granite delivers advanced communications and technology solutions to businesses and government agencies throughout the United States and Canada. We provide exceptional customized service with an emphasis on reliability and outstanding customer support and our customers include over 85 of the Fortune 100. Granite has over $1.85 Billion in revenue with more than 2,100 employees and is headquartered in Quincy, MA. Our mission is to be the leading telecommunications company wherever we offer services as well as provide an environment where the value of each individual is recognized and where each person has the opportunity to further their growth and achieve success. Granite has been recognized by the Boston Business Journal as one of the "Healthiest Companies" in Massachusetts for the past 15 consecutive years. Our offices have onsite fully equipped state of the art gyms for employees at zero cost. Granite's philanthropy is unparalleled with over $300 million in donations to organizations such as Dana Farber Cancer Institute, The ALS Foundation and the Alzheimer's Association to name a few. We have been consistently rated a "Fastest Growing Company" by Inc. Magazine. Granite was named to Forbes List of America's Best Employers 2022, 2023 and 2024. Granite was recently named One of Forbes Best Employers for Diversity. Our company's insurance package includes health, dental, vision, life, disability coverage, 401K retirement with company match, childcare benefits, tuition assistance, and more. If you are a highly motivated individual who wants to grow your career with a fast paced and progressive company, Granite has countless opportunities for you. EOE/M/F/Vets/Disabled General Summary of Position: We're looking for a talented sales intern to work alongside our sales professionals who will focus on new business development by selling our voice and data telecommunication products and services to C-level and Director level decision makers. If you are a highly driven, self-motivated individual, with a positive attitude, and competitive spirit, then Granite will provide you an exciting and lucrative career opportunity. You will get the training, support and environment needed to succeed. You will be the driving force for securing new customers and new business regionally for Granite across North America. Duties and Responsibilities: Assisting team members with administrative tasks Learning and incorporating sales skills from and into their own sales environment Learning the products we sell and understand Granite as a company Producing and/or editing written reports for team members Prospecting new clients via cold calling Gain knowledge of using CRM- Salesforce Participating in independent sales tasks and strategies Participating in a sales intern role play competition #LI-ND1 #LI-N1

ADP is hiring a Summer 2026 Data Science/Machine Learning Intern Are you looking for real corporate experience at a Fortune 250 company? Do you want to make a valuable contribution to a business' success? Are you ready to join an energetic, collaborative team and experience an inclusive culture of belonging? If so, then this may be just the opportunity you've been searching for. Read on and see for yourself. As an Intern at ADP, you will work alongside seasoned professionals who will guide and support you to enhance your professional skills while gaining relevant experience in a business environment. Even better: You will also participate in a variety of functional and leadership activities to enhance your personal and professional capabilities. Your objective: To learn as much as possible and gain relevant business experience during your time interning with us. Ready to #MakeYourMark? Apply now! WHAT YOU'LL DO: Responsibilities Here's what you can expect on a typical day as a Data Science/Machine Learning Intern: Advanced Analytics & Predictive Modeling. You bring prior experience to the role of formulating problems, extracting & analyzing data from multiple systems, summarizing critical findings/insights, and developing a compelling visual representation of analyses with actionable recommendations-this will set you up for success on Day 1. You will interact with developers, UX designers, product managers, and senior executives to understand problem domain, project requirements, user experience and demonstrate model performance and its business value. Own and Manage Projects. You will identify, design, develop, and implement advanced analytical projects. Limitless Possibilities. You will continue learning and discovering new ways to leverage ADP data to create new products and services and find more insights. You are passionate about learning and applying new techniques within data science that leads to innovation. Collaboration and Communication. You'll be part of a collaborative team, listening to needs, then finding and sharing solutions. You're comfortable and skilled at presenting to both peers and leadership on your projects and findings. TO SUCCEED IN THIS ROLE: Required Qualifications You have completed at least 3 years of a 4 year Bachelor's degree or 1 year of a 2 year Master's degree in a quantitative discipline. Prior experience in Java, C++, SQL; Distributed computing tools such as Apache Hadoop, Apache Hive, or Apache Spark; Oracle, MongoDB; Data visualization tools, such as Tableau, will give you extra comfort in this role to be successful. Self-Starter. You are high-reaching and unstoppable. You have a can't-stop-won't-stop attitude and an urge to persevere until you get it right. Insatiable Appetite to Learn. You're always learning, growing, questioning, and challenging "what's been done before." Agile Solution Seeker. You're a problem solver who always can find the right answer even in times of fast-paced change.

ADP is hiring a Summer 2026 Data Science/Machine Learning Intern Are you looking for real corporate experience at a Fortune 250 company? Do you want to make a valuable contribution to a business' success? Are you ready to join an energetic, collaborative team and experience an inclusive culture of belonging? If so, then this may be just the opportunity you've been searching for. Read on and see for yourself. As an Intern at ADP, you will work alongside seasoned professionals who will guide and support you to enhance your professional skills while gaining relevant experience in a business environment. Even better: You will also participate in a variety of functional and leadership activities to enhance your personal and professional capabilities. Your objective: To learn as much as possible and gain relevant business experience during your time interning with us. Ready to #MakeYourMark? Apply now! WHAT YOU'LL DO: Responsibilities Here's what you can expect on a typical day as a Data Science/Machine Learning Intern: Advanced Analytics & Predictive Modeling. You bring prior experience to the role of formulating problems, extracting & analyzing data from multiple systems, summarizing critical findings/insights, and developing a compelling visual representation of analyses with actionable recommendations-this will set you up for success on Day 1. You will interact with developers, UX designers, product managers, and senior executives to understand problem domain, project requirements, user experience and demonstrate model performance and its business value. Own and Manage Projects. You will identify, design, develop, and implement advanced analytical projects. Limitless Possibilities. You will continue learning and discovering new ways to leverage ADP data to create new products and services and find more insights. You are passionate about learning and applying new techniques within data science that leads to innovation. Collaboration and Communication. You'll be part of a collaborative team, listening to needs, then finding and sharing solutions. You're comfortable and skilled at presenting to both peers and leadership on your projects and findings. TO SUCCEED IN THIS ROLE: Required Qualifications You have completed at least 3 years of a 4 year Bachelor's degree or 1 year of a 2 year Master's degree in a quantitative discipline. Prior experience in Java, C++, SQL; Distributed computing tools such as Apache Hadoop, Apache Hive, or Apache Spark; Oracle, MongoDB; Data visualization tools, such as Tableau, will give you extra comfort in this role to be successful. Self-Starter. You are high-reaching and unstoppable. You have a can't-stop-won't-stop attitude and an urge to persevere until you get it right. Insatiable Appetite to Learn. You're always learning, growing, questioning, and challenging "what's been done before." Agile Solution Seeker. You're a problem solver who always can find the right answer even in times of fast-paced change.

**_Candidates are encouraged to apply to 3 or fewer internship roles during a given internship recruiting cycle_** We're seeking a Data Science Intern to apply analytics, machine learning, and automation to real-world manufacturing challenges. You'll help improve efficiency, optimize inventory, and support sustainability across our global CPS network while gaining hands-on experience and mentorship in a collaborative environment. **Function Related Activities/Key Responsibilities:** + Partner with CPS Data Engineers, Manufacturing, and GDI teams to understand business problems and translate them into analytical solutions. + Collect, clean, and analyze large datasets from multiple sources (SAP, Azure Data Lake, Power BI, etc.). + Develop and test machine learning or optimization models to support initiatives such as Kit Optimization, Complexity Analysis, and Inventory Benchmarking. + Build clear visualizations and dashboards to communicate findings and recommendations to stakeholders. + Support automation and scaling of analytics workflows in Databricks and Azure environments. + Document methodologies, datasets, and models to ensure reproducibility and knowledge sharing. + Present insights and recommendations to the Data Science and Manufacturing leadership teams. **Education Requirements:** Must be currently pursuing a Bachelor's or Master's degree or have graduated from their degree program no earlier than December 2025 in Data Science, Computer Science, Statistics, Industrial Engineering, or a related quantitative field. **Related Work Experience:** + Strong programming skills in Python (pandas, scikit-learn, PySpark) or SQL. + Experience with data visualization tools such as Power BI, Tableau, or matplotlib. + Able to understand various data structures and common methods in data transformation. + Familiarity with machine learning concepts, statistical analysis, and model evaluation techniques. + Understanding of Azure Databricks, cloud-based data systems, or version control tools (GitHub, Azure DevOps) is a plus. + Strong analytical mindset, attention to detail, and curiosity to explore data-driven insights. + Excellent communication skills and ability to work collaboratively in a team environment **Monthly Salary (undergraduate): $4,506** **Monthly Salary (graduate): $6,066** **Dates of Internship: May 18 - July 31, 2026** **Location: Atlanta, Georgia** The Coca-Cola Company will not offer sponsorship for employment status (including, but not limited to, H1-B visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work legally in the United States. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.

Max Pay Rate: $75.26 Work Arrangement: Hybrid Engagement Type: Contract NOTE: Applications with resumes in PDF Format will be automatically rejected. Only Word format resumes will be considered. Short Description: In this role, you will analyze large and/or complex datasets, develop predictive models, and derive actionable insights that drive key business decisions. Complete Description: We are seeking a highly analytical and detail-oriented Data Scientist with experience in Risk and Fraud analytics to join our growing team. This role will focus on developing and deploying machine learning models, statistical methods, and data-driven strategies to detect risky behaviors and prevent fraudulent activities across our products and services. Key Responsibilities ·Collect, clean, and analyze large, complex datasets from multiple sources. ·Develop predictive models and machine learning algorithms to support decision-making and improve business performance. ·Translatebusiness problems into data-driven solutions with measurable impact. Develop and deploy machine learning models to detect, predict, and prevent fraudulent transactions and behavior patterns. Analyze large volumes of structured and unstructured data from multiple sources to identify fraud trends and root causes. Collaborate with fraud operations, engineering, and compliance teams to implement real-time fraud detection solutions. Design and monitor KPIs to evaluate model performance and improve fraud detection systems over time. Conduct deep-dive investigations into fraud cases, creating detailed reports and actionable insights. Stay current with emerging fraud techniques, industry best practices, and data science tools. Required Qualifications Bachelors or masters degree in data science, Computer Science, Statistics, Mathematics, Economics or a related field. 10+ years of professional experience in data science Proficient in Python, SQL, SAS and machine learning techniques Experience in responsible use of AI if used in solution design ·Strong analytical skills and the ability to identify patterns and trends from data Experience working with large datasets and cloud platforms (e.g., AWS, GCP, Azure). Strong understanding of supervised and unsupervised fraud detection techniques, including anomaly detection, behavioral modeling, and network analysis. Experience with visualization tools like Tableau and Power BI.

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 ********************

** Summer 2026 Internship Interviews begin January 2026 | Offers extended in March | Start date projected for May Location: This internship will be based at one of Waystar's four basecamp locations, offering an in-person experience designed to foster collaboration and hands-on learning. **WHAT YOU'LL DO** Waystar is seeking a curious, analytical, and detail-driven Data Analyst Intern to join our Summer 2026 Internship Program. This opportunity is ideal for students who love working with data, uncovering insights, and solving complex problems that drive smarter decisions in the healthcare technology space. As a Data Analyst Intern, you'll collaborate with cross-functional teams to support data-driven initiatives across the organization. What You'll Gain: + Exposure to healthcare data and analytics tools + Hands-on experience with data visualization, reporting, and trend analysis + Opportunities to work on meaningful projects that inform strategic decisions + Mentorship from experienced analysts and collaboration across departments **WHAT YOU'LL NEED** **Program Timeline** The interview process for Summer 2026 internships will begin in **January 2026** , with offers expected to be extended in **March** . Interns will officially onboard in **May** , aligning with the start of the summer program. **ABOUT WAYSTAR** Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle. Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful, optimistic & fun. Waystar products have won multiple Best in KLAS or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.com or follow @Waystar (**************************** on Twitter. **WAYSTAR PERKS** + Competitive total rewards (base salary + bonus, if applicable) + Customizable benefits package (3 medical plans with Health Saving Account company match) + We offer generous paid time off for our non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays + Paid parental leave (including maternity + paternity leave) + Education assistance opportunities and free LinkedIn Learning access + Free mental health and family planning programs, including adoption assistance and fertility support + 401(K) program with company match + Pet insurance + Employee resource groups Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. **Job Category:** Technology/Engineering **Job Type:** Part time **Req ID:** R2768

Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. About EPD Caterpillar's Electric Power Division (EPD) offers integrated solutions, parts, and services to meet the needs of our various commercial and industrial electric power customers. EPD supports a wide range of customer applications across the globe, including providing back-up power to hospitals, providing emergency power when natural disasters strike, and supporting critical infrastructure for data centers, municipalities, and more. With a rich history of more than 95 years in the electric power business, our team has world-class expertise and a proven ability to adapt to changing demands. We're committed to providing sustainable and reliable solutions to our customers. Join our team to help build a better, more sustainable world for future generations! Job Summary: Join a dynamic team as an Inventory Analyst, where your data-driven insights will directly impact supply chain efficiency and customer satisfaction. In this role, you'll take ownership of logistics and purchasing support tasks, optimizing inventory levels and reducing costs with minimal supervision. Collaborate across departments while enjoying the autonomy to drive meaningful improvements. Be part of a mission-driven organization committed to building a more sustainable future - one smart decision at a time. What You Will Do: Reconcile inventory discrepancies including on-hand overages/shortages, supplier variances, operational returns, receipt issues, and shipment errors; accurately post receipts for all inbound materials. Foster and maintain collaborative relationships with cross-functional teams and team members. Plan supplier material deliveries, track supplier information including replenishment schedules, and monitor packaging quantities and usage. Conduct regular inventory counts and audits to ensure accuracy and investigate discrepancies. Analyze root causes of inventory issues and develop effective solutions. Prepare inventory reports and determine quantity and order dates for kanban materials to meet the master production schedule. Initiate purchase or production requisitions as appropriate. Analyze historical inventory movements to determine appropriate corrective actions. Safely operate material handling equipment to support inventory processes. Execute scheduled and ad hoc audits of inventory and receipts to ensure accuracy and compliance. Monitor, track, and report quality performance metrics; maintain accountability for achieving defined quality objectives. Work independently while promoting a cooperative team dynamic in support of facility operations and client inventory requirements. Perform other duties as assigned by leadership. What You Will Have Minimum of 2 years' shipping & receiving experience and/or cycle counting Previous experience in a manufacturing/warehouse environment Experience managing invoice grief Working knowledge of Microsoft Office products, including Excel, Word, and PowerPoint Prior experience working with cross-functional teams Strong communication skills, both written and verbal Ability to perform tasks independently with minimal supervision What Will Put You Ahead Former experience with SOP Documentation Intermediate proficiency in Microsoft Office Word, Excel and PowerPoint Forklift Certification Demonstrated use of 5S principles and organization Experience with vendor management inventory Physical Requirements The ability to occasionally lift parts up to 35 lbs. individually or up to 70 lbs. with a team lift The ability to bend, reach, and squat while performing tasks The ability to wear required personal protective equipment for assigned tasks The ability to work in an environment with frequently changing temperatures The ability to stand and/or sit for extended periods while performing tasks We are committed to ensuring a supportive and accommodating work environment for all employees. Please advise of any reasonable accommodation requests to facilitate your ability to perform the job's essential functions. Additional Requirements: Resumes are highly encouraged for this position Former Caterpillar employees must meet rehire eligibility guidelines for consideration Must successfully complete a background, drug, and medical screening Additional Information 1st Shift: Monday - Friday, 7:00am - 3:30pm Paid overtime may be required based on business needs (may include weekends/holidays) Work location is typically a combination of warehouse and office settings. Relocation assistance is NOT available Sponsorship is NOT available About Caterpillar Caterpillar Inc. is the world's leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. For 100 years, we have been helping customers build a better, more sustainable world and are committed and contributing to a reduced-carbon future. Our innovative products and services, backed by our global dealer network, provide exceptional value that helps customers succeed. Please ensure you frequently check the e-mail account you provided on your application, including the junk/spam folder, as this is the primary correspondence method in our recruiting process. Summary Pay Range: $25.25 - $32.80 Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar. Benefits: Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits. Medical, dental, and vision benefits* Paid time off plan (Vacation, Holidays, Volunteer, etc.)* 401(k) savings plans* Health Savings Account (HSA)* Flexible Spending Accounts (FSAs)* Health Lifestyle Programs* Employee Assistance Program* Voluntary Benefits and Employee Discounts* Career Development* Incentive bonus* Disability benefits Life Insurance Parental leave Adoption benefits Tuition Reimbursement * These benefits also apply to part-time employees Posting Dates: January 6, 2026 - January 19, 2026 Any offer of employment is conditioned upon the successful completion of a drug screen. Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply. Not ready to apply? Join our Talent Community.

Every day, our team members do amazing things in pursuit of our shared purpose to build trust with our clients, partners, subcontractors, and teammates. No matter your background, education, or career path, if you share our vision to create extraordinary experiences, you belong at HITT. Safety Data Manager Job Description: The Safety Data Analyst is a key team member of the safety team responsible for designing and maintaining safety data reporting environments, analyzing key leading and lagging indicators, and delivering actionable insights that strengthen field execution and enable proactive hazard recognition. Reporting directly to the Vice President of Safety, with focused outcomes. This role plays a critical part in maturing digital safety systems and advancing data-driven safety performance across the organization. Responsibilities DATA COLLECTION & MANAGEMENT * Gather, organize, and maintain safety data from multiple sources, including incident reports, field observations, training records, and audits. * Ensure accuracy, consistency, and completeness of data within safety systems and reports. * Maintain and improve data management processes to support timely decision-making. * Develop and deliver fit-for-purpose reference and guidance documents, including training materials, to strengthen competency levels and compliance of reporting. * Populate and maintain content on the HITT Construction Safety SharePoint site under the oversight of VP of Safety and Health. INSIGHTS AND REPORTING * Maintain, audit, and improve safety data reporting systems and workflows * Build executive & field-ready dashboards and analytics report * Standardize data capture, taxonomy, and quality controls * Automate safety reporting and data workflows * Partner with project teams & leadership to turn insights into field actions * Support safety performance scorecards & executive reporting cycle * Provide recommendations to the VP of Safety and team members that support strategic goals and field engagement * Create and maintain dashboards and performance reports for safety metrics such as TRIR, DART, LTIR, SIF, SIF-P, inspections, and corrective actions. * Manage data within the company's EHS management platform * Assist in digital transformation and automation initiatives to improve data accessibility and workflow efficiency. * Develop and issue targeted safety campaign materials for project teams to use. * Develop and issue safety-related lessons learned, best practices, and innovative solutions as requested. PROJECT TEAM HEALTH & SAFETY SUPPORT * Support the VP of safety in developing executive-level reports and presentations. * Serve as a trusted data resource for the Safety Team and operations partners. * Participate in safety meetings, strategy sessions, and cross-functional projects to share data-driven insights. * Foster a culture of data integrity and continuous improvement within the Safety Team. * Partner with business unit leaders, including other data managers, to enhance current systems and tools specific to construction safety metrics and help create and execute a roadmap to predictive analytics for construction safety. * Partner with external contractor and consultant companies to assure data collection, metrics, and trend analysis, and management governance forums to review the data are occurring. Qualifications * A high school diploma is required. * A four-year degree from an accredited construction safety institution is preferred but not required. * Experience in construction, engineering, or industrial operations preferred. * OSHA 30-hour for construction preferred. * First Aid/CPR/AED certification. * 2-5 years of experience in safety data analysis, data reporting, or business intelligence. * The ability to learn sector- and project-specific software systems is necessary, including, but not limited to, Microsoft Office 365 (Project, Excel, Word, Outlook, PowerPoint), Procore, Adobe Suite, BI Environments, and Bluebeam. * Data visualization and dashboarding skills * Advance spreadsheet/data modeling capability * Ability to automate and report workflows * Ability to present insights to field and leadership audiences. HITT Contracting is an equal opportunity employer. We are committed to hiring and developing the most qualified individuals based on job-related experience, skills, and merit. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other protected characteristic. We value a respectful, inclusive workplace where everyone has the opportunity to succeed. HITT Contracting maintains a drug-free workplace, consistent with applicable local, state, and federal laws.

**Data Scientist - Advanced Metering Infrastructure (AMI) Analytics** Alabama Power Company Corporate Headquarters - Birmingham, AL Georgia Power Company Corporate Headquarters - Atlanta, GA Mississippi Power Corporate Headquarters - Gulfport, MS **Job Summary:** The Data Scientist within APC Power Delivery's AMI Analytics team plays a strategic role in advancing data-driven decision-making and operational efficiency across business units. This position blends analytical depth, technical expertise, and business insight to deliver scalable AI solutions that support AMI initiatives. The successful candidate will lead data science efforts, assess feasibility of advanced analytics use cases, and establish robust frameworks for AI deployment and monitoring within the AMI data domain. **Key Responsibilities:** AI/ML Strategy & Use Case Development - Identify and evaluate AI/ML opportunities aligned with AMI business objectives. - Stay current on emerging technologies and educate the team on their practical applications. **Algorithm Design & Model Optimization** - Develop and refine machine learning models to solve complex problems using enterprise-scale data. - Continuously adopt new tools and techniques to enhance model performance and scalability. **Framework Development & MLOps Integration** - Architect and implement an AMI-specific AI development framework under the AMI Governance Committee. - Integrate MLOps practices for seamless cloud deployment, monitoring, and lifecycle management. - Collaborate with cross-functional teams to provision ETL workflows and CI/CD pipelines. **Documentation & Reporting** - Produce clear, comprehensive documentation to support transparency, reproducibility, and stakeholder communication. **Collaboration & Mentorship** - Partner with end-users to understand analytical needs and co-create data-driven solutions. - Mentor team members to foster skill development and promote a culture of continuous learning. **Job Requirements: Education & Experience** - Master's degree in Computer Science, Mathematics, Statistics, Data Analytics, Data Science, Machine Learning, or Artificial Intelligence. - Minimum 5 years of experience in a technically focused, data-driven environment building supervised and unsupervised Machine Learning models. **Knowledge, Skills & Abilities:** - Programming & Data Engineering: Proficient in Python and R; working knowledge of Spark, Pandas, T-SQL, and PL-SQL. - Model Development: Skilled in building predictive and prescriptive models, feature engineering, and ML algorithms. - Cloud & Integration: Experience with Azure-based ML deployment, data migration, and integration across diverse datasets. - Generative AI & LLMs: Familiarity with Generative AI and Large Language Models; hands-on experience is a plus. - Debugging & Optimization: Strong analytical skills for monitoring and troubleshooting data pipelines and solutions. - Communication & Influence: Ability to translate technical concepts into actionable business insights and influence decisions across organizational levels. - Consulting & Collaboration: Proven ability to work cross-functionally and deliver strategic recommendations through data storytelling. - Learning & Adaptability: Self-driven learner with awareness of industry trends and emerging technologies. - Multitasking & Prioritization: Capable of managing multiple projects, adapting to shifting priorities, and delivering results in a dynamic environment. **Behavioral Attributes:** The ideal candidate will embody Southern Company's core behaviors of Unquestionable Trust, Superior Performance, and Total Commitment, and demonstrate: - Innovation and results orientation - Strategic thinking with an enterprise mindset - Commitment to continuous improvement and development of others - Strong partnership-building skills - Ability to work independently and collaboratively - Decisiveness and agility - High ethical standards - Being on-site at the HQ office 4 days a week. Alabama Power provides safe, reliable, and affordable electricity to 1.5 million customers across the lower two-thirds of Alabama. For more information, visit ******************** and connect with the company on Facebook (Facebook.com/AlabamaPower), Twitter (Twitter.com/AlabamaPower), LinkedIn (Linkedin.com/company/alabama-power), and Instagram (Instagram.com/alabamapower). Southern Company (NYSE: SO ) is a leading energy provider serving 9 million customers across the Southeast and beyond through its family of companies. Providing clean, safe, reliable and affordable energy with excellent service is our mission. The company has electric operating companies in three states, natural gas distribution companies in four states, a competitive generation company, a leading distributed energy solutions provider with national capabilities, a fiber optics network and telecommunications services. Through an industry-leading commitment to innovation, resilience and sustainability, we are taking action to meet customers' and communities' needs while advancing our goal of net-zero greenhouse gas emissions by 2050. Our uncompromising values ensure we put the needs of those we serve at the center of everything we do and are the key to our sustained success. We are transforming energy into economic, environmental and social progress for tomorrow. Our corporate culture has been recognized by a variety of organizations, earning the company awards and recognitions that reflect Our Values and dedication to service. To learn more, visit *********************** . Southern Company invests in the well-being of its employees and their families through a comprehensive total rewards strategy that includes competitive base salary, annual incentive awards for eligible employees and health, welfare and retirement benefits designed to support physical, financial, and emotional/social well-being. This position may also be eligible for additional compensation, such as an incentive program, with the amount of any bonus/awards subject to the terms and conditions of the applicable incentive plan(s). A summary of the benefits offered for this position can be found here **************************************************** . Additional and specific details about total compensation and benefits will also be provided during the hiring process. Southern Company is an equal opportunity employer where an applicant's qualifications are considered without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity or expression, or any other basis prohibited by law. Job Identification: 16309 Job Category: Data Analytics Job Schedule: Full time Company: Alabama Power

Please do not respond to direct messages with your personal information. All job applications and your sensitive, personal information should only be submitted via our official job platform. Job Title: Data Analyst 2 (Hybrid- onsite Monday-Thursday) Location: US-GA-Atlanta (Sandy Springs) FLSA: Exempt #LI-Hybrid Job Overview: The Data Analyst II performs intermediate-level data analysis, report development, and data validation tasks. This role partners with business users and data engineers to translate data requirements into actionable insights and visualizations. Job Responsibilities: Develop, enhance, and maintain data reports and dashboards Write SQL queries to extract, transform, and analyze data Perform data profiling and quality checks to support governance objectives Work with business teams to define key metrics and reporting needs Collaborate with data engineers to improve data pipelines and data models Interpret and communicate data trends and patterns to stakeholders Support documentation of data logic and business definitions The above statements are intended only to describe the general nature of the job and should not be construed as an all-inclusive list of position responsibilities. Job Requirements: Bachelor's degree in Information Systems, Computer Science, or related field; Equivalent combination of education and experience might be considered. 2 to 5 years in data analysis or data governance DAMA Certified Data Management Professional (CDMP) Associate Certification Preferred Proficiency in SQL, Excel, and reporting tools (e.g., Power BI, Tableau) Understanding of data governance principles Basic knowledge of data security and privacy Working knowledge of data modeling concepts and data lifecycle Strong analytical and critical thinking skills Effective written and verbal communication skills Company Benefits: Medical, Dental, and Vision Insurance Flexible Spending Account Health Savings Account 401(k) Plan with Company Match Company-paid Short-Term and Long-Term Disability Company-paid Life Insurance Paid Holidays and Vacation Employee Referral Program Employee Assistance Program Wellness Programs Paid Community Service Opportunities Tuition Reimbursement Ongoing Training & Personal Development And More! About Safe-Guard Products International: Safe-Guard serves Original Equipment Manufacturers (OEMs), top retailers, and independent agents in the automotive finance and insurance industry with the leading Protection Products Platform. Our platform delivers innovative protection products and solutions that protect consumers from the perils of ownership, while providing Finance &Insurance professionals the tools to ignite scalable and sustainable business growth. Safe-Guard's success is driven by over 850 employees, who serve more than 12,000 dealers and support contract holders across the U.S. and Canada. For 30 years and counting, our team continues to transform the motor vehicle space, earning a stellar reputation from our partners and peers by providing: 1) the highest quality protection products in the industry, 2) a broad platform of branded product, technology, marketing, and training solutions, and 3) an unwavering commitment to uncomplicated care and customer service. Safe-Guard Products International is an equal opportunity employer and gives consideration for employment to qualified applicants without regard to age, race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, marital status, disability or protected veteran status, or any other status or characteristic protected by federal, state, or local law.

Data Scientist Are you seeking to grow and enhance your technical career to new heights, in a full-time, W-2 opportunity? What if an organization existed solely for the purpose of investing in YOU, being of service to YOU, showing you how, and supporting you every step of the way? Is a customized and personalized approach to your learning journey, career development, and overall ability to maximize your earning potential important to you? Let's make it happen - together! What's In It For YOU? Full time, W-2 employment, with FREE, paid 9 week training in React Native development (an Industry-Proof Technology) at our headquarters in Atlanta, GA Complete and total support post training to secure and thrive while working for end-clients Paid corporate-sponsored housing during above mentioned training Relocation assistance for training and all projects, as needed Robust W2 employee benefits Full coverage medical, dental, vision insurance coverage through Cigna Open Access POS plans 401K eligibility after one calendar year of employment, 3% company match Basic life/AD&D, Dependent Disability (short/long term) coverage Work visa sponsorship for Foreign Nationals Opportunity for nationwide U.S. travel Company-sponsored technical certifications, as necessary, per technology Learn to become a best-in-class engineer, developer, and consultant Development in proven soft skills and interviewing skills methods An expert technical engineer development program Project deliverable support (once on project) Exposure to a breadth and depth of best-practice production environments, code bases, and tech stacks with 100's of industry-leading end clients Opportunities to assist our end clients across multiple states architect, test, deploy, maintain, document, and scale upward Who Are We? First - we're a top-tier IT consulting firm, providing best-in-class React Native Development solutions for companies across an array of industries including finance, energy, ecomm, logistics, travel, retail, entertainment, auto, and healthcare. We serve many end clients, some of which include Microsoft, Google, Johnson & Johnson, Fannie Mae, Walmart, PayPal, T-Mobile, McDonalds, CVS, Verizon, Charter, Nike, Dell, Wells Fargo, Capital One, Charles Schwab...just to name a few! As a consultant, this means you, too, will have these well-known, industry-leading end-client experiences when you join our team! Second - we're a people development firm. When you join our organization, you come to us with the required foundational technical skills, coding ability, educational degree, and general understanding that will serve as a foundation to learning React development. It's our mission to mentor, develop, and train you, as mentioned above, to learn React development, so you can then gain experience and provide world-class consultative services to our end clients. Company Highlights Our Expertise: IT consultative services and quality engineer development through recruiting, hiring, and coaching our consultants Longevity: 25+ years of combined domestic and international experience in IT consulting Depth: Hundreds of Fortune 1000, 500, and innovative start-up end clients with 1000's of successfully completed and on-going projects across the US, EU, and UK Global Reach: Employee work force is diverse, spanning across 4 continents of North America, Europe, South America, and Asia Growth & Innovation: Active monitoring and measurement of the market across all technological sectors to adapt to and implement what's "next” How We Will Help You Teach and Develop: We will instruct and train you in React Native development to become a best-in-class consultant through our proven method and program, capable of delivering end-client deliverables, through our paid, 6-8-week training course Customized Support: Several teams will be ready to support and collaborate with you in a custom-tailored way; this includes our teams of Development Managers, Tech Subject Manager Experts, Project Deliverable Support, Corporate Trainers, Interview Coaches, Client Placement Specialists, and Immigration Specialists (for our foreign national candidates) Project Placement: Our dedicated market-expertise sales team will help you seek, secure and maintain a project with our myriad end clients Career Growth: You will gain the necessary industry experience to drive and propel your technical profession forward for many years to come! What You Bring to the Role Master's degree from an accredited college/university in Computer Science, Statistics, Mathematics, Engineering, Econometrics, or related fields, PhD is preferred. Alternatively, Bachelor's Degree with at least 2 years' experience as a Data Analyst, Data Scientist, or Research Assistant 5+ years of work history with 2 of the 5+ years being in an IT related role. Strong Proficiency in Python or Java programming language, or expertise with functional/object- oriented programming. Ability to translate objectives to a project plan with milestones, and resource/technology requirements, and teach, lead, and manage projects/people/clients to successful execution Ability to work across multiple engagements with clients to assess needs, provide assistance, and resolve problems, using structured problem solving and communication to both technical and non- technical audiences Availability to travel (80% after Training portion) and live in the U.S Strong English written and verbal communication skills Nice-to-have: Experience with command-line scripting, data structures and algorithms and ability to work in a Linux environment, processing large amounts of data in a cloud environment Experience in machine learning, artificial intelligence and/or artificial neural networks o Proficiency in applying various mathematical and statistical models to include, but not limited to: discrete event simulation, factor analysis, genetic algorithms, Bayesian probability models, hidden Markov models, sensitivity analysis, sampling, probability, multivariate data analysis, regression, PCA, time-series analysis o Broad understanding of databases (e.g. SQL, NoSQL, Lucene, Mongo), and high-performance or distributed processing (e.g. using MapReduce, Spark, Pig, and/or Hive) o Experience with visualization software (Tableau, D3, MicroStrategy, PowerBI) o Experience delivering solutions in an Agile environment o Experience with Tensorflow, Theano or Keras o Portfolio of public & private data science projects you're proud of (GitHub, Kaggle, DrivenData, etc.) o Publications in peer-reviewed journals o Other programming languages such as Scala, Java, R

Looking for a rewarding career with a company that values people, growth, sustainability, and teamwork? Join our Atlanta team as a Data Scientist! As part of the IT department, this position reports directly to the Technology and Innovations Manager. Please note that the role is internally classified as Optimization Development Specialist and differs from the posted title for clarity to job seekers. This role is hybrid (onsite three days, and remote 2 days per week) and is located at our Atlanta Corporate Office in the Perimeter area. What we are looking for: Bachelor's or Master's degree in Data Science, Industrial Engineering, Operations Research, Applied Mathematics, or Computer Science. Recent graduate or professional with experience in data science, optimization, or AI model development (industry experience preferred). Strong proficiency in Python (Pandas, NumPy, SciPy, PuLP, OR-Tools, or Pyomo). Experience with SQL/BigQuery and cloud-based data platforms (Azure and Google Cloud preferred). Familiarity with SAP datasets or ERP-related data structures is a strong plus. Working knowledge of Qlik Sense and Power Platform (Power Automate / Copilot Studio) is desirable. Excellent problem-solving and communication skills with the ability to explain complex models to executives and operational teams. Willing to travel 25% of the time (~ one week out of the month) Must be comfortable with working in both an industrial environment and corporate setting What we offer: An attractive compensation package with bonus eligibility Health plans with options that meet your needs, including a wellness program, gym reimbursement, and additional benefits such as pet insurance, legal insurance, employer-paid and voluntary life insurance, and more Paid maternity and paternity leave, a competitive vacation package, and company and floating holidays designed to support your work-life balance Retirement planning options, including generous employer contributions Opportunities to learn and develop, including a tuition reimbursement program In this role, you will: Design and implement optimization and simulation models to solve business challenges such as production scheduling, cost-to-serve routing, inventory balancing, and pricing elasticity. Create and deploy computer vision solutions for safety, process monitoring, quality control, and automation (e.g., image recognition, object detection, anomaly detection). Develop heuristic and machine learning models using Python, BigQuery ML, and Azure services. Collaborate with data engineers to ensure reliable and efficient data pipelines from SAP and other enterprise systems. Translate business requirements into mathematical models (linear programming, mixed-integer, constraint-based, or stochastic optimization). Build and maintain dashboards and decision-support tools. Prototype and deploy optimization microservices or AI agents integrated into business workflows. Conduct model validation, sensitivity analysis, and post-implementation reviews to measure impact. Contribute to the citizen development framework, supporting business users in applying advanced analytics responsibly. Document methodologies and communicate insights clearly to technical and non-technical stakeholders.

Must Have Technical/Functional Skills * Programming & Technologies: Proficient in Python, SQL, and R coding languages coupled with expertise in Domo, SAS, and web development languages. Adept in leveraging cloud technologies including AWS, Azure, and Hadoop ecosystems for scalable data solutions. * Advanced Modeling: Skilled in utilizing techniques like PCA, Lasso, and Elastic Net for feature selection, and deploying machine learning algorithms such as Linear & Logistic Regression, SVM, Decision Trees, XGBoost, Hist Gradient Boosting, and LightGBM for high-impact results. * Data Visualization & Data Storytelling: Adept at designing visually appealing data presentations and utilizing data storytelling techniques to effectively communicate insights. Proficient with Domo, Tableau, PowerBI, D3.js, and Matplotlib for creating data visualizations and dashboards. Experienced in transforming complex findings into actionable insights and narratives that resonate with diverse audiences. * Palantir & Skywise experience is a plus point Roles & Responsibilities * Design and implement predictive models and machine learning algorithms to solve business problems. * Perform feature selection using techniques such as PCA, Lasso, and Elastic Net. * Develop and deploy models using algorithms like Linear & Logistic Regression, SVM, Decision Trees, XGBoost, Hist Gradient Boosting, and LightGBM. * Utilize cloud technologies (AWS, Azure, Hadoop) for scalable data solutions. * Create interactive dashboards and visualizations using tools like Domo, Tableau, PowerBI, D3.js, and Matplotlib. * Communicate insights through compelling data storytelling for diverse stakeholders. * Collaborate with cross-functional teams to integrate data solutions into business processes. Salary Range-$100,000-$140,000 a year #LI-KR3 TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

**A Day in the Life:** _The Marketing Data Scientist will play a critical role in advancing Hertz's data-driven marketing strategy. This position focuses on building and refining our Marketing Mix Model, supporting CRM data analysis, and enabling tactical and strategic Loyalty initiatives. The ideal candidate combines strong analytical skills with business acumen to deliver actionable insights that optimize marketing spend and enhance customer engagement. This position reports to the Director of Digital Growth._ **Note: this role will be required to work from our Atlanta, GA office at least 3 days per week.** The salary range for this position is expected to be between $90k-100k. **What You'll Do:** + Combine data science with day-to-day execution, helping to solve key problems in the process, as well as providing solutions for current methods that lack critical data; work with analysts to identify the greatest areas of opportunity. + Explore data, formulate questions, and deliver insights back to business leaders to be prioritized for further testing and exploration. **Marketing Mix Modeling (MMM):** + Develop, validate, and refine MMM frameworks to measure channel effectiveness. + Integrate historical performance data and external factors to forecast marketing outcomes. + Collaborate with Media and Finance teams to align MMM outputs with budget planning. **CRM Data Analysis & Refinement:** + Support data hygiene, segmentation, and enrichment for CRM systems. + Analyze customer lifecycle metrics to inform personalized campaigns. + Partner with the CRM team to improve targeting and retention strategies. **Loyalty Program Analytics:** + Provide analytical support for the Hertz Gold Plus Rewards, Dollar Express, and Thrifty Blue Chip loyalty programs. + Support the evaluation of tests to measure program impact and member engagement. + Deliver insights into both short-term tactical actions and long-term strategic planning. **Ad-Hoc Analysis & Strategic Projects:** + Respond to urgent business questions with clear, data-backed recommendations. + Contribute to cross-functional projects involving marketing technology, attribution, and customer journey measurement. **What We're Looking For:** + Master's degree or equivalent required; preferably in Statistics, Marketing Analytics, Business Analytics, Mathematics, or Engineering + 2+ years of industry experience in data science or operations research + Knowledge of marketing attribution measurement or travel industry systems/data + Strong communication skills to translate complex analyses into actionable insights + Experience with time series forecasting, attribution modeling, or optimization + Strong problem-solving/analytical skills + Excellent technical skills are required, including proficiency with SQL, Python/R, Tableau, and Excel + Experience using one or more programming languages (e.g., Python, Java, C++, C, etc.) + Experience in big data mining, analysis, and visualization **What You'll Get:** + Up to 40% off the base rate of any standard Hertz Rental + Paid Time Off + Medical, Dental & Vision plan options + Retirement programs, including 401(k) employer matching + Paid Parental Leave & Adoption Assistance + Employee Assistance Program for employees & family + Educational Reimbursement & Discounts + Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness + Perks & Discounts -Theme Park Tickets, Gym Discounts & more The Hertz Corporation operates the Hertz, Dollar Car Rental, Thrifty Car Rental brands in approximately 9,700 corporate and franchisee locations throughout North America, Europe, The Caribbean, Latin America, Africa, the Middle East, Asia, Australia and New Zealand. The Hertz Corporation is one of the largest worldwide airport general use vehicle rental companies, and the Hertz brand is one of the most recognized in the world. **US EEO STATEMENT** At Hertz, we champion and celebrate a culture of diversity and inclusion. We take affirmative steps to promote employment and advancement opportunities. The endless variety of perspectives, experiences, skills and talents that our employees invest in their work every day represent a significant part of our culture - and our success and reputation as a company. Individuals are encouraged to apply for positions because of the characteristics that make them unique. EOE, including disability/veteran

When you join the team at Unum, you become part of an organization committed to helping you thrive. Here, we work to provide the employee benefits and service solutions that enable employees at our client companies to thrive throughout life's moments. And this starts with ensuring that every one of our team members enjoys opportunities to succeed both professionally and personally. To enable this, we provide: * Award-winning culture * Inclusion and diversity as a priority * Performance Based Incentive Plans * Competitive benefits package that includes: Health, Vision, Dental, Short & Long-Term Disability * Generous PTO (including paid time to volunteer!) * Up to 9.5% 401(k) employer contribution * Mental health support * Career advancement opportunities * Student loan repayment options * Tuition reimbursement * Flexible work environments * All the benefits listed above are subject to the terms of their individual Plans. And that's just the beginning… With 10,000 employees helping more than 39 million people worldwide, every role at Unum is meaningful and impacts the lives of our customers. Whether you're directly supporting a growing family, or developing online tools to help navigate a difficult loss, customers are counting on the combined talents of our entire team. Help us help others, and join Team Unum today! General Summary: This position for a developing data scientist who is excited to transform data into actionable insights and impact the business through his/her work. The role requires increasing technical expertise in the fields of computer programming, applied statistics and data manipulation; and relies on developing business knowledge. The individual will participate in project work primarily within the functional area, with direction and review by manager. The individual is expected to continuously increase business knowledge and take initiative in identifying and executing analytical approaches to support assigned projects. Job Specifications * Bachelor's degree in quantitative field is preferred * 2 years preferred of professional experience or equivalent relevant work experience * Core Data Science Capabilities: Deep expertise in at least one of the following skillsets preferred, with basic capability in the others: * Programming & Process automation: Experience using APIs, file I/O, database, and analysis libraries. Understanding of programming in jupyter notebooks and/ or statistical packages. Understanding of process mapping and demonstrated application of scripting languages to automate processes. Exposure to data mining and web scraping. * Data Visualization: Working knowledge of two or more data visualization tools and proficiency in static data visualization. Basic understanding of dynamic data visualization * Statistics & Statistical modeling: Solid understanding of statistical inference and regression. Basic understanding of machine learning techniques including random forests and neural nets. Basic understanding of feature selection and extraction which may include analysis of categorical data, multiple comparisons, Central Limit Theorem, bootstrapping, and permutation tests * Data Extraction, Transformation, and Loading (ETL) skillsets preferred: Expertise in writing complex SQL queries that join multiple tables/databases. Given a business problem, independently explore databases/tables to identify best data sources. Demonstrates ability to troubleshoot complex SQL queries written by others with little guidance. * Core business capabilities: basic communication skills, exposure to financial services industry, and attention to detail and ability to prioritize while working on multiple projects keeping track of due dates * Leadership Capabilities: Ability to coach or mentor team members, respond quickly and positively to change, adheres to technical best practices by collaborating with team members to deliver high quality output * Preferred characteristics: Entrepreneurial self-starter. A thorough, results-oriented problem-solver, and a lifelong learner with voracious curiosity. Basic understanding of their organization. Principal Duties and Responsibilities * Design and execute analytical solutions using statistical, optimization, simulation and data mining methods with a focus on delivering actionable insights and partnership to deliver business value. * Integrate large volume of data from different sources (including DB2, SQL Server, Web API and Teradata) to create data assets and perform analyses * Apply validation, aggregation and reconciliation techniques to create rich modeling-ready data framework. * Construct predictive models using machine learning to explain and understand observed events, forecast expected behavior, or identify risk through scoring or clustering. * Familiarity with AI agents like github co-pilot, MS co-pilot to speed through code development and self - learning. * Knowledge of working with LLMs and agent libraries like Langgraph. Langchain & OpenAI SDK. * Efficiently interpret results and communicate findings and potential value to manager. * Support integration of solutions within existing business processes using automation techniques. * Understand theory and application of current and emerging statistical methods and tools. * Knowledge of tools - Python, VS code, Databricks, Azure, AWS, Streamlit, tableau, SQL * Perform other related duties as assigned #LI-TO1 #LI-MULTI IN4 Unum and Colonial Life are part of Unum Group, a Fortune 500 company and leading provider of employee benefits to companies worldwide. Headquartered in Chattanooga, TN, with international offices in Ireland, Poland and the UK, Unum also has significant operations in Portland, ME, and Baton Rouge, LA - plus over 35 US field offices. Colonial Life is headquartered in Columbia, SC, with over 40 field offices nationwide. Unum is an equal opportunity employer, considering all qualified applicants and employees for hiring, placement, and advancement, without regard to a person's race, color, religion, national origin, age, genetic information, military status, gender, sexual orientation, gender identity or expression, disability, or protected veteran status. The base salary range for applicants for this position is listed below. Unless actual salary is indicated above in the job description, actual pay will be based on skill, geographical location and experience. $60,500.00-$123,400.00 Additionally, Unum offers a portfolio of benefits and rewards that are competitive and comprehensive including healthcare benefits (health, vision, dental), insurance benefits (short & long-term disability), performance-based incentive plans, paid time off, and a 401(k) retirement plan with an employer match up to 5% and an additional 4.5% contribution whether you contribute to the plan or not. All benefits are subject to the terms and conditions of individual Plans. Company: Unum

SummaryAs a Staff Data Scientist, you will work in teams addressing statistical, machine learning, and artificial intelligence problems in a commercial technology and consultancy development environment. You will be part of a data science or cross-disciplinary team driving AI business solutions involving large, complex data sets. Potential application areas include time series forecasting, machine learning regression and classification, root cause analysis (RCA), simulation and optimization, large language models, and computer vision. The ideal candidate will be responsible for developing and deploying machine learning models in production environments. This role requires a strong technical background, excellent problem-solving skills, and the ability to work collaboratively with data engineers, analysts, and other stakeholders. Roles and Responsibilities: Design, develop, and deploy machine learning models and algorithms Understand business problems and identify opportunities to implement data science solutions. Develop, verify, and validate analytics to address customer needs and opportunities. Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. Develop and maintain pipelines for Retrieval-Augmented Generation (RAG) and Large Language Models (LLM). Ensure efficient data retrieval and augmentation processes to support LLM training and inference. Utilize semantic and ontology technologies to enhance data integration and retrieval. Ensure data is semantically enriched to support advanced analytics and machine learning models. Participate in Data Science Workouts to shape Data Science opportunities and identify opportunities to use data science to create customer value. Perform exploratory and targeted data analyses using descriptive statistics and other methods. Work with data engineers on data quality assessment, data cleansing, data analytics, and model productionization Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes. Communicate methods, findings, and hypotheses with stakeholders. Minimum Qualifications: Bachelor's degree from accredited university or college with minimum of 3 years of professional experience OR an associate's degree with minimum of 5 years of professional experience 3 years of proficiency in Python (mandatory). 2 years' experience with machine learning frameworks and deploying models into production environments Note: Military experience is equivalent to professional experience Eligibility Requirement: Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job. Desired Characteristics: Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their machine learning services. Experience with handling unstructured data, including images, videos, and text. Understanding of computer vision techniques and tools Ability to work in a fast-paced, dynamic environment. Experience with data preprocessing and augmentation tools. Demonstrated expertise in critical thinking and problem-solving methods Familiarity with cloud platforms (e.g. AWS, Azure, Google Cloud, Databricks) and their machine learning services Demonstrated skill in defining and delivering customer value. Demonstrated expertise working in team settings in various roles Demonstrated expertise in presentation and communications skills. Experience with deep learning and neural networks. Knowledge of data governance and compliance standards. Note: To comply with US immigration and other legal requirements, it is necessary to specify the minimum number of years' experience required for any role based within the USA. For roles outside of the USA, to ensure compliance with applicable legislation, the JDs should focus on the substantive level of experience required for the role and a minimum number of years should NOT be used. This Job Description is intended to provide a high level guide to the role. However, it is not intended to amend or otherwise restrict/expand the duties required from each individual employee as set out in their respective employment contract and/or as otherwise agreed between an employee and their manager. This role requires access to U.S. export-controlled information. Therefore, for applicants who are not U.S. lawful permanent residents, U.S. Citizens, or have been granted asylee or refugee status (i.e., not a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3), otherwise known as a U.S. Person), employment will be contingent on the ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government. Additional Information GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Data Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce. We are looking for a seasoned Data Science expert to help build a world-class data science and analytics platform that supports and scales data-driven product decision-making. As a Staff Product Data Scientist, you will work closely with cross-functional partners to proactively define the product landscape, derive insights from data, communicate key findings to product executives, and directly contribute to product strategy building and implementation. You'll partner with Product, Design, and Engineering (PDE) to contribute directly to product development-shaping what we build, how we measure success, and when/how we iterate and improve. At Slack, we foster a positive, diverse, and supportive culture. We look for people who are curious, bold, and eager to improve every day. Our team values being smart, humble, hardworking, and above all, collaborative. What you will be doing * Apply advanced data science techniques to analyze Slack product usage patterns, identifying what's working, what's not, and opportunities for improvement. * Conduct evidence-based evaluations to determine key drivers of Slack's product growth. * Define and report key success metrics, effectively communicating insights to Slack and Salesforce leadership to enable executive level decision making and follow-ups. * Synthesize insights across different product areas and business outcomes, identifying correlations and causal relationships that drive success. * Serve as a domain expert in product data science, guiding best practices and advancing data science methodologies and operations. * Champion evidence-based decision-making, making data and insights accessible and scalable for stakeholders at all levels. What you should have * 5+ years of experience in data science or quantitative analysis, preferably in technology product development or enterprise software. * A related technical degree required. * Expertise in at least one programming language for data science (e.g., Python, R). * Experience working with large-scale data technologies (e.g., Spark, Presto, Hive, Hadoop). Expertise in Apache Airflow is a strong plus. * Strong communication skills. Able to translate complex technical results into clear, actionable insights. * Cross-functional collaboration and influencing skills, with a track record of impacting decisions at both strategic and executional levels. * Experience designing and implementing advanced data models with scalability and efficiency. * Experienced in applying advanced quant measurement techniques in a product development environment. Unleash Your Potential When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world. Accommodations If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: ******************************************* to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $184,000 - $253,000 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $200,800 - $276,100 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

Hello Folks, Hope you are doing good😊! Please find the below requirement and let me your interest? Role: Lead Data Scientist with Vertex AI Mode of work: 5Days Onsite Looking for 12+years profiles only Visa: USC & GC only (It's a W2 Role) Core Responsibilities: We are seeking a strategic, cloud-native Data Scientist Consultant with deep expertise in Google Cloud Platform (GCP) to lead enterprise-wide data transformation initiatives. This highly visible role blends technical depth with executive engagement, helping clients define and implement modern data strategies and frameworks that drive business value, compliance, and maturity-leveraging GCP-native tools like Data plex, Data Catalog, Big Query, and Vertex AI. Thanks & Regards Jagdish Manager - IT Staffing Email ID: ******************** | Phone: *************** 6095 Marshalee Dr, Suite 250, Elkridge, MD 21075 **************** Consulting | Technology | Development Offices: Maryland | Georgia | India Note: If you have received this message in error, please notify us immediately by reply e-mail so that we may correct our internal records. Please then delete the original message (including any attachments) in its entirety. Thank you