Data Science Internship jobs at DISH Network - 28 jobs

As a Staff Data Analyst at Weedmaps, you will shape how the business understands and acts on data insights. You will be a key thought leader helping senior leadership from across the business turn their objectives into data strategies that drive multi-million dollar decisions. Rather than waiting for requests, you will proactively identify opportunities, challenge assumptions with data, and publish insights to the broader cannabis industry. Your strong proficiency in SQL, combined with your resourceful nature, will allow you to transform large, messy data into tangible recommendations for the business. You will also help us migrate from Tableau to a new BI tool, creating dashboards and reports that senior executives will use to run the business. You will serve as a mentor to more junior colleagues and help improve the quality and sophistication of analysis and visualization. You will help build reusable tools that other analysts can build on, being a force multiplier for the entire team. This is a high-visibility role combining execution with strategic influence. The impact you'll make: Create high quality, scalable analytic and data products, dashboards and reports and Streamlit Partner with executives from Product, Marketing, Revenue, and other as their data strategist, becoming a trusted thought partner helping them achieve their objectives with data Lead the migration from Tableau to a new BI solution, ensuring minimal business disruption during the process Design and build the executive dashboards that run the business, including weekly operational metrics, board-level KPIs, and strategic planning tools Publish external thought leadership on cannabis market trends in collaboration with our content team Define, build, and document new metrics to capture business requirements in dbt and Snowflake Translate ambiguous business requests into actionable plans for multiple analysts to execute against Effectively communicate complex technical themes to non-technical audiences Turn SQL queries into repeatable performant models in dbt Cloud without assistance from other developers Guide and mentor other analysts on the team and across the organization, including code reviews, pair coding sessions, and architectural assistance Champion data quality and analytical rigor and set the standard for what good looks like What you've accomplished: 8+ years working in a data analytics, product analytics or business intelligence role, with a proven track record of influencing executive decision making through data storytelling and strategic recommendations Extensive experience performing complex analyses on large user-level datasets and translating insights into strategic business recommendations across a variety of domains Experience working collaboratively with senior leadership across multiple areas of the business History of proactively identifying areas of opportunity without waiting for the business to ask, including seeking evidence and building business cases for the value of these ideas Expert SQL skills with demonstrated ability to uncover new insights from complex, messy datasets (10B+ rows) Deep understanding of advanced analytics and data visualization Hands-on experience with building and maintaining production-level dashboards in BI tools like Looker and Sigma Solid understanding of dbt cloud Extensive hands-on experience with version control platforms and processes Familiarity with python and Streamlit Hands-on experience using AI in your work to drive greater impact Bonus points: Experience with multiple BI platforms, preferably Sigma Prior experience leading BI platform migrations Experience in fast-paced, high-growth environments where you had to balance scrappiness with scalability Experience presenting to C-suite audiences or publishing external thought leadership Strong python skills Experience in a two-sided marketplace or e-commerce environment Knowledge of the cannabis industry and marketplace The base pay range for this position is $142,238.00- $150,000.00 per year 2026 US Benefits for Full Time, Regular Employees: Physical Health (Medical, Dental & Vision) 100% employer-paid premium for employees Up to 80% coverage for dependents Company HSA contribution with the High Deductible Health Plan 401(k) Retirement Plan (employer will match contribution up to 3.5% of employee contribution) Basic Life, Voluntary Life and AD&D Insurance options Supplemental, voluntary benefits Student Loan Repayment/529 Education Savings with a monthly company contribution FSA (Medical, Dependent, Transit and Parking) Voluntary Life and AD&D Insurance Critical Illness Insurance Accident Insurance Short- and Long-term Disability Insurance Pet Insurance Identity theft protection Legal access to a network of attorneys PTO, paid sick leave, and company holidays (including a 2026 holiday shutdown) Paid parental leave Why Work at Weedmaps? Life at Weedmaps means innovation and heart. Come join us if you care about the plant, the people who love it, and are ready to let your talent shine. We foster a bustling and collaborative culture that revolves around an environment that focuses on the benefits of weed, and the community that supports it. You too can have a hand in shaping the industry's future; ready to roll with us? See how we've grown-our journey, leadership team, and what's next at Weedmaps.com/corporate About Weedmaps: Founded in 2008, we've grown from a small startup to a global leader in the cannabis industry. Our dedication to transparency, education, and community has set us apart, and today, we proudly serve cannabis to consumers and businesses in the U.S. and worldwide. “Freedom to choose. Freedom to access. Freedom to enjoy.” Notice to prospective Weedmaps job applicants: Our team has been made aware of incidents involving LinkedIn, Telegram, and Facebook accounts impersonating Weedmaps recruiters. These individuals are attempting to use our company name to solicit payment from prospective candidates interested in applying for jobs at our company. Our team is actively working to combat these attempts, but in the meantime, please be mindful of the following: Our recruiters will always communicate with candidates through an @weedmaps.com email address. CORRECT: ********************** INCORRECT: ******************* Our recruiters will NEVER ask for or attempt to solicit payment from applicants in order to apply, interview, or work for Weedmaps. If you are interested in a role at Weedmaps, please apply through our established channels. Weedmaps Careers Page or LinkedIn If you are unsure if a communication is legitimate, please contact our recruitment team at ********************** and they will happily confirm for you. Thank you for your vigilance and we appreciate your interest in working with us! Weedmaps is an equal opportunity employer and makes employment decisions on the basis of merit. The Company prohibits unlawful discrimination against employees or applicants based on race (including traits historically associated with race, such as hair texture and protective hairstyles), religion and religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, military status, veteran status, uniformed service member status, sexual orientation, transgender identity, citizenship status, pregnancy, or any other consideration made unlawful by federal, state, or local laws. The Company also prohibits unlawful discrimination based on the perception that anyone has any of those characteristics, or is associated with a person who has or is perceived as having any of those characteristics. Our company uses E-Verify to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit ********************* Applicants are entitled to reasonable accommodations under the terms of the Americans with Disabilities Act and applicable state/local laws, unless the accommodation presents undue hardship. Please email us at peopleoperations at weedmaps.com if you would like to confidentially discuss a potential accommodation during the interview process.

As a Staff Data Analyst at Weedmaps, you will shape how the business understands and acts on data insights. You will be a key thought leader helping senior leadership from across the business turn their objectives into data strategies that drive multi-million dollar decisions. Rather than waiting for requests, you will proactively identify opportunities, challenge assumptions with data, and publish insights to the broader cannabis industry. Your strong proficiency in SQL, combined with your resourceful nature, will allow you to transform large, messy data into tangible recommendations for the business. You will also help us migrate from Tableau to a new BI tool, creating dashboards and reports that senior executives will use to run the business. You will serve as a mentor to more junior colleagues and help improve the quality and sophistication of analysis and visualization. You will help build reusable tools that other analysts can build on, being a force multiplier for the entire team. This is a high-visibility role combining execution with strategic influence. The impact you'll make: Create high quality, scalable analytic and data products, dashboards and reports and Streamlit Partner with executives from Product, Marketing, Revenue, and other as their data strategist, becoming a trusted thought partner helping them achieve their objectives with data Lead the migration from Tableau to a new BI solution, ensuring minimal business disruption during the process Design and build the executive dashboards that run the business, including weekly operational metrics, board-level KPIs, and strategic planning tools Publish external thought leadership on cannabis market trends in collaboration with our content team Define, build, and document new metrics to capture business requirements in dbt and Snowflake Translate ambiguous business requests into actionable plans for multiple analysts to execute against Effectively communicate complex technical themes to non-technical audiences Turn SQL queries into repeatable performant models in dbt Cloud without assistance from other developers Guide and mentor other analysts on the team and across the organization, including code reviews, pair coding sessions, and architectural assistance Champion data quality and analytical rigor and set the standard for what good looks like What you've accomplished: 8+ years working in a data analytics, product analytics or business intelligence role, with a proven track record of influencing executive decision making through data storytelling and strategic recommendations Extensive experience performing complex analyses on large user-level datasets and translating insights into strategic business recommendations across a variety of domains Experience working collaboratively with senior leadership across multiple areas of the business History of proactively identifying areas of opportunity without waiting for the business to ask, including seeking evidence and building business cases for the value of these ideas Expert SQL skills with demonstrated ability to uncover new insights from complex, messy datasets (10B+ rows) Deep understanding of advanced analytics and data visualization Hands-on experience with building and maintaining production-level dashboards in BI tools like Looker and Sigma Solid understanding of dbt cloud Extensive hands-on experience with version control platforms and processes Familiarity with python and Streamlit Hands-on experience using AI in your work to drive greater impact Bonus points: Experience with multiple BI platforms, preferably Sigma Prior experience leading BI platform migrations Experience in fast-paced, high-growth environments where you had to balance scrappiness with scalability Experience presenting to C-suite audiences or publishing external thought leadership Strong python skills Experience in a two-sided marketplace or e-commerce environment Knowledge of the cannabis industry and marketplace The base pay range for this position is $142,238.00- $150,000.00 per year 2026 US Benefits for Full Time, Regular Employees: Physical Health (Medical, Dental & Vision) 100% employer-paid premium for employees Up to 80% coverage for dependents Company HSA contribution with the High Deductible Health Plan 401(k) Retirement Plan (employer will match contribution up to 3.5% of employee contribution) Basic Life, Voluntary Life and AD&D Insurance options Supplemental, voluntary benefits Student Loan Repayment/529 Education Savings with a monthly company contribution FSA (Medical, Dependent, Transit and Parking) Voluntary Life and AD&D Insurance Critical Illness Insurance Accident Insurance Short- and Long-term Disability Insurance Pet Insurance Identity theft protection Legal access to a network of attorneys PTO, paid sick leave, and company holidays (including a 2026 holiday shutdown) Paid parental leave Why Work at Weedmaps? Life at Weedmaps means innovation and heart. Come join us if you care about the plant, the people who love it, and are ready to let your talent shine. We foster a bustling and collaborative culture that revolves around an environment that focuses on the benefits of weed, and the community that supports it. You too can have a hand in shaping the industry's future; ready to roll with us? See how we've grown-our journey, leadership team, and what's next at Weedmaps.com/corporate About Weedmaps: Founded in 2008, we've grown from a small startup to a global leader in the cannabis industry. Our dedication to transparency, education, and community has set us apart, and today, we proudly serve cannabis to consumers and businesses in the U.S. and worldwide. “Freedom to choose. Freedom to access. Freedom to enjoy.” Notice to prospective Weedmaps job applicants: Our team has been made aware of incidents involving LinkedIn, Telegram, and Facebook accounts impersonating Weedmaps recruiters. These individuals are attempting to use our company name to solicit payment from prospective candidates interested in applying for jobs at our company. Our team is actively working to combat these attempts, but in the meantime, please be mindful of the following: Our recruiters will always communicate with candidates through an @weedmaps.com email address. CORRECT: ********************** INCORRECT: ******************* Our recruiters will NEVER ask for or attempt to solicit payment from applicants in order to apply, interview, or work for Weedmaps. If you are interested in a role at Weedmaps, please apply through our established channels. Weedmaps Careers Page or LinkedIn If you are unsure if a communication is legitimate, please contact our recruitment team at ********************** and they will happily confirm for you. Thank you for your vigilance and we appreciate your interest in working with us! Weedmaps is an equal opportunity employer and makes employment decisions on the basis of merit. The Company prohibits unlawful discrimination against employees or applicants based on race (including traits historically associated with race, such as hair texture and protective hairstyles), religion and religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, military status, veteran status, uniformed service member status, sexual orientation, transgender identity, citizenship status, pregnancy, or any other consideration made unlawful by federal, state, or local laws. The Company also prohibits unlawful discrimination based on the perception that anyone has any of those characteristics, or is associated with a person who has or is perceived as having any of those characteristics. Our company uses E-Verify to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit ********************* Applicants are entitled to reasonable accommodations under the terms of the Americans with Disabilities Act and applicable state/local laws, unless the accommodation presents undue hardship. Please email us at peopleoperations at weedmaps.com if you would like to confidentially discuss a potential accommodation during the interview process.

Company: Qualcomm Technologies, Inc. Job Area: Information Technology Group, Information Technology Group > Data Science We care deeply about transforming lives with Qualcomm technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming, and embedded systems. Underpinning our mission is the Qualcomm culture. We push the limits of innovation to solve the world's most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. At Qualcomm: Together, we advance. About the Role: We are looking for a visionary data scientist to lead the transformation of finance and accounting operations through intelligent automation. This role combines deep technical expertise with strong business acumen to simplify processes, reduce manual effort, and accelerate AI adoption across the organization. You will design and deploy AI systems-including AI agents, and Model Context Protocols (MCP)-that automate complex workflows and empower teams through self-service tools, training and extensive change management. Key Responsibilities: Business Process Simplification * Partner with finance and accounting teams to deeply understand workflows and pain points. * Translate business needs into technical solutions that simplify and streamline operations. * Ensure all solutions align with compliance standards and audit requirements. AI & Automation Development * Build and deploy AI/ML business solutions (LLMs, agents) and workflows using N8N or similar tools for various finance and accounting tasks such as journal entry automation, reconciliation, forecasting, and anomaly detection. * Integrate the solution workflow into existing enterprise systems such as Oracle ERP, SAP, Price Management, TM1, and Salesforce * Develop robust data pipelines to extract, clean, and prepare data from enterprise platforms (Databricks, AWS Redshift, Oracle etc) for AI, and reporting use cases. Adoption & Enablement * Drive AI and automation adoption by creating training programs and documentation for finance stakeholders. * Promote the use of self-service AI and automation tools to empower non-technical users. * Collaborate with IT and operations to leverage and integrate enterprise AI tools into existing systems and processes. Data & Reporting * Build and maintain data pipelines that support real-time and batch AI applications. * Leverage Tableau, Power BI, and other self-service reporting tools to visualize insights and track automation impact. Strategic Leadership * Define KPIs and success metrics for AI initiatives in finance. * Stay current with advancements in generative AI, agent-based modeling, and enterprise AI governance. * Present findings and proposals to executive stakeholders and steering committees. Qualifications: * Bachelor's or Master's degree (MS preferred) in Finance, Accounting, Economics, Computer Science, AI/ML, Applied Mathematics, or related fields. * 3+ years of experience building and deploying enterprise level business process improvements and automations, including AI/ML models, workflows, and dashboards. * Proficiency in SQL * AI automation and workflow development using N8N or similar tools. * Understanding of LLMs, AI agents, and context-aware orchestration (e.g., MCP). * Strong business acumen in finance and accounting, with the ability to map technical solutions to operational goals. * Experience with ERP systems (e.g., Oracle, SAP) and financial data structures. * Proficiency in Tableau, Power BI, or similar tools for self-service reporting and visualization. * Experience with Python and Rust a plus. * Excellent communication and stakeholder management skills. Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification. Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. Pay range and Other Compensation & Benefits: $46.30 - $69.46 The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link. If you would like more information about this role, please contact Qualcomm Careers.

Company Cox Enterprises Job Family Group Business Operations Job Profile Intern - Technical Management Level Individual Contributor Flexible Work Option Hybrid - Ability to work remotely part of the week Travel % Yes, 5% of the time Work Shift Day Compensation Hourly base pay rate is $24.23 - $36.35/hour. The hourly base rate may vary within the anticipated range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include commission (annual, monthly, etc.) and/or an incentive program. Job Description We encourage candidates to apply to no more than three internship opportunities within a 90-day period. Our recruiting team will review your application and ensure you are considered for the opportunities that best align with your skills and interests. There's something really inspiring about the idea of innovators teaming up to build something incredible. If you agree, then you might be a perfect fit for a tech job at Cox! Across the Cox family of businesses (Cox Enterprises, Cox Communications and Cox Automotive), we're looking for Data Analyst Interns to join our team and learn from the best. Ready to collaborate with us and work at a great company that truly cares about you and your future? Keep reading! What's In It For You? We value your time and potential. At Cox, you'll be exposed to meaningful and challenging work. You won't be left alone to figure things out. You'll have a team of supporters (plus an assigned program mentor) who will show you the ropes, guide you to excellence and cheer you on. You'll experience real accountability to develop your professional skills. You'll expand your network and professional toolbox through exposure to senior leaders. You'll help us build a bold future that is sustainable, accessible and inclusive. What you will do: Learn how to develop data-driven insights. Learn how to extract, transform, and load (ETL) the data for analysis. Learn how to perform data cleansing, exploratory data analysis. Learn how to work with different data sources to be able to produce the requested analysis. Identify and utilize opportunities to increase efficiency and improve processes. Influence critical business decision through analysis and visualization techniques. QUALIFICATIONS Currently enrolled in a related degree program such as Math, Statistics, Computer Science, Engineering majors Basic analytic skill. Strong background in Mathematics, Computer Science, or Statistics. Background using Microsoft tools mentioned above. Detail oriented and able to meet project timelines through good time management and work prioritization. Oral and written communications skills, as well as presentation skills. A positive attitude, determination, and humility. All STEM majors are encouraged to apply. Intermediate to advance analytical skills. Background or relevant coursework in any of the following areas: Mathematic, Statistics, Data Scientist, Computer and Information systems and Programming. Ability to conduct thorough research and use the findings to inform decision making. Python, PySpark, SQL or other coding and visualization skills are highly preferred. Don't miss out on the first steps toward your future. Apply today! Intern/Co-Op sessions are considered temporary employment. No full-time employment commitments are made. However, depending on our business needs, some interns may be considered for a full-time position following the conclusion of the session conditioned upon the intern graduating from their academic program and being available to commence full-time employment at a specified time. Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. Benefits Benefits of working at Cox may include health care insurance (medical, dental, vision), retirement planning (401(k)), and paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO). For more details on what benefits you may be offered, visit our benefits page. About Us As our primary divisions Cox Automotive and Cox Communications drive new waves of innovation, Cox Enterprises is entering spaces like cleantech, healthcare, esports and more. We're a family business guided by a legacy of bold innovation that's driven by those who want to make their mark. Benefits of working at Cox may include health care insurance (medical, dental, vision), retirement planning (401(k)), and paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO). For more details on what benefits you may be offered, visit our benefits page. Cox is an Equal Employment Opportunity employer - All qualified applicants/employees will receive consideration for employment without regard to that individual's age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law. Cox provides reasonable accommodations when requested by a qualified applicant or employee with disability, unless such accommodations would cause an undue hardship.Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT, STEM/OPT or visa sponsorship now or in future.

Company Cox Communications, Inc. Job Family Group Data Intelligence & Science Job Profile Data Scientist II Management Level Individual Contributor Flexible Work Option Hybrid - Ability to work remotely part of the week Travel % Yes, 5% of the time Work Shift Day Compensation Compensation includes a base salary of $89,400.00 - $134,000.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program. Job Description Cox Communications, Inc. is seeking a Data Scientist II to transform data into actionable insights, extrapolating and sharing with organizational leaders to help solve vexing problems and build transformational strategies to move the business forward. Designs data modeling processes, creates algorithms, and crafts predictive models to help with planning, problem solving, and strategic and tactical decision-making. This role increasingly leverages AI and Machine Learning (ML) techniques to automate insights, personalize experiences, and drive data-driven innovation. WHAT YOU'LL DO Collaborates with peers and colleagues to extract meaning and interpretation from data sets within an assigned area of responsibility. Engages with assigned leaders and teams to understand business objectives and challenges. Works with peers, colleagues, and more senior Data Scientists to develop relevant data collection and analytical methods to investigate challenges and develop meaningful insights, including the application of appropriate ML algorithms (e.g., regression, classification, clustering). Develops MLOPS process for data evaluation and model performance. Researches and evaluates large volumes of data from disparate sources to identify statistical patterns and generate insights, including experience with data cleaning, feature engineering, and data augmentation techniques to improve model performance. Includes the ability to critically evaluate model outputs, identify potential biases, and interpret model explainability (XAI). Develops clear and easily understood data visualizations to facilitate communication and understanding, experience with tools that support interactive dashboards and storytelling with data is a plus. Shares analysis and project updates with senior team members and management; proactively communicates model performance metrics, limitations, and potential biases. Develops, trains, evaluates, and maintains machine learning models using appropriate frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Pandas, PySpark). Contributes to the development and implementation of AI-powered solutions, working closely with engineering teams for deployment and integration. Stays current with the latest advancements in AI, Machine Learning, and Data Science, and proactively explores opportunities to apply these advancements to solve business problems. WHO YOU ARE (Qualifications) Required Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT, STEM/OPT or visa sponsorship now or in future. Bachelor's: Minimum two (2) years of work in Data Scientist roles. Masters: Minimum one (1) years of work in Data Scientist roles. Experience in AWS environments: Athena, S3, BedRock, Sage Maker AI, and AWS Glue and SnowFlake environments. Strong programming skills in Python, and SQL. Experience with data visualization tools (e.g., Tableau, Power BI). Working experience with cloud computing platforms (e.g., AWS, Azure, GCP) Proven experience ability to effectively partner with cross-functional teams to successfully execute large-scale projects. Strong ability to create, organize, analyze, and interpret complex data sets, draw conclusions, and communicate findings and recommendations to others. Ability to prioritize and manage multiple complex projects simultaneously. Excellent interpersonal, leadership, presentation, and collaborative skills to work effectively with teams throughout the organization. Excellent business acumen with strong story-telling skills to communicate effectively and drive action. Must possess an internal client service orientation and work effectively in a matrix management environment. Ability to grasp and explain complicated subject matter to others across the organization that are less connected to the situation and/or are less technically oriented. Demonstrated ability to multi-task, work under pressure and think analytically. Outstanding attention to detail. Benefits The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave. About Us Cox Communications is all about creating moments of real human connection; and for employees, that's true both in the workplace and in the problems we solve for customers. From building advertising solutions to unleashing IoT technologies to creating an exceptional experience for customers in our retail locations and online, we're creating a world that is smarter and more connected. Benefits of working at Cox may include health care insurance (medical, dental, vision), retirement planning (401(k)), and paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO). For more details on what benefits you may be offered, visit our benefits page. Cox is an Equal Employment Opportunity employer - All qualified applicants/employees will receive consideration for employment without regard to that individual's age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law. Cox provides reasonable accommodations when requested by a qualified applicant or employee with disability, unless such accommodations would cause an undue hardship.

Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent. Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers. What's the opportunity? As part of the GTM Analytics team, you will provide data-driven insights that support scaled, digital-first go-to-market programs. This role helps teams understand performance across repeatable GTM and customer motions, with a focus on engagement, adoption, and growth. You will work closely with cross-functional partners to ensure scaled programs are well measured and continuously improved. What will I be doing? Targeting & Cohort Analysis: Analyze customer and prospect cohorts to support targeting, prioritization, and distribution for scaled digital programs. Program Impact Measurement: Measure the impact of point-in-time and evergreen digital engagements on key business and product metrics. Campaign & Program Analysis: Analyze performance across scaled tactics such as webinars, email campaigns, workshops, and virtual or in-person programs. Attribution & Distribution Reporting: Build and maintain dashboards that track distribution, reach, and attribution as part of regular KPI reporting. Cross-Functional Collaboration: Partner with GTM, Marketing, and Success teams to answer business questions through data. Continuous Improvement: Identify opportunities to improve reporting, measurement, and analysis workflows over time. What skills do I need? 3-5 years of experience in analytics, GTM, customer analytics, or a related field Strong understanding of SaaS GTM and customer success metrics Experience using SQL and BI tools such as Tableau or Looker Ability to manage multiple priorities and reporting needs independently Strong attention to detail and data accuracy Excellent written and verbal communication skills Benefits We are a well-treated bunch, with awesome benefits! If there's something important to you that's not on this list, talk to us! Competitive salary and meaningful equity Comprehensive medical, dental, and vision coverage Regular compensation reviews - great work is rewarded! Flexible paid time off policy Paid Parental Leave Program 401k plan & match In-office bicycle storage Fun events for Intercomrades, friends, and family! *Proof of eligibility to work in the United States is required. The base salary range for candidates within the San Francisco Bay Area is $153,000 - $182,750. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). #LI-Hybrid Policies Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values. Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.

Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent. Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers. What's the opportunity? The Research, Analytics & Data Science (RAD) team at Intercom uses data and insights to drive evidence-based decision-making. We're a team of data scientists and product researchers who use data - both big and small - to unlock actionable insights about our customers, our products and our business. We generate insights that build customer empathy, drive product strategy and shape products that deliver real value to our customers. We're now seeing strong demand for data scientists who can apply their expertise directly with our most strategic customers. As a Forward Deployed Data Scientist, you'll embed with customers to build Enterprise-grade Fin deployments. You'll play a pivotal role in transforming how our most strategic customers scale customer support - working closely with them and our go-to-market teams to design, build, and implement data-driven solutions that unlock measurable impact. You'll also feed insights from these frontline deployments back into Intercom's product and strategy - helping shape the future of AI customer service. This is a high-ownership role for someone who thrives in ambiguous environments, is energized by solving complex, real-world problems with data, and is motivated by seeing their work translate into both customer impact and product evolution. What will I be doing? Drive the adoption of Fin by helping customers automate and scale their support operations. Embed with strategic customers to understand their support workflows, data, and business challenges - to identify and implement opportunities where AI can deliver measurable impact. Steer customers toward best practices in measurement and AI adoption to realize the full value of Fin. Partner closely with Sales, Success, and Product to deliver seamless customer experiences and successful deployments, and to create feedback loops that shape product development. Use AI to prototype, test, and scale data-driven solutions, building tools that make us faster and more effective in driving Fin adoption and customer impact. What skills do I need? Proven ability to apply data science in real-world business contexts to drive measurable outcomes. Strong collaboration mindset; skilled at working across Sales, Success, Product, and Engineering. High adaptability and ownership: able to shift between deep technical analysis and high-level strategic framing. Excellent communication skills, both technical and non-technical. Rapidly prototype bespoke solutions for customers - knowing when lightweight analysis is sufficient versus when to scale. Excellent SQL skills and fluency in Python/R, with experience applying analytical and statistical methods to business problems. Experience with AI/ML evaluation, LLM-driven applications, or conversational AI. Willing to travel and work on-site with customers to build deep relationships and uncover insights firsthand. Bonus skills and attributes Experience in technical consulting, customer-facing analytics, or SaaS product data science. Experience applying AI to scale the data science workflow. Benefits We are a well-treated bunch with awesome benefits! If there's something important to you that's not on this list, talk to us! Competitive salary and meaningful equity Comprehensive medical, dental, and vision coverage Regular compensation reviews - great work is rewarded! Flexible paid time off policy Paid Parental Leave Program 401k plan & match In-office bicycle storage Fun events for Intercomrades, friends, and family! *Proof of eligibility to work in the United States is required. The base salary range for candidates within the San Francisco Bay Area is $197,600 - $225,500. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). Policies Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values. Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.

The Data Scientist will contribute to the development of AI and Generative AI (GenAI) models and workflows tailored for the healthcare domain. This role will work on building solutions that address real-world challenges. This role offers an exciting opportunity to apply knowledge of GenAI, machine learning, and healthcare-specific requirements while collaborating with a multidisciplinary team of experts. Develop workflows to enhance the efficiency and accuracy of note-taking in healthcare settings. Collaborate with data engineers, product teams, and clinical experts to ensure solutions align with healthcare workflows and standards. Address healthcare-specific challenges such as HIPAA compliance, medical terminology integration, and adherence to standards like ICD, CPT, and HL7/FHIR. Stay updated with the latest advancements in GenAI, NLP, computer vision, and healthcare AI technologies. Perform other duties that support the overall objective of the position. Education Required: Bachelor's degree (or higher) in Computer Science, Data Science, Artificial Intelligence, or a related field. Or, any combination of education and experience which would provide the required qualifications for the position. Experience Required: Experience working with multiple GenAI models, including open-source. Experience with natural language processing (NLP) and computer vision techniques. Experience in data preprocessing and model deployment. Knowledge, Skills & Abilities: Knowledge of: Strong foundational knowledge of generative AI techniques and frameworks (e.g., Transformers, GPT, diffusion models). Proficiency in machine learning tools and frameworks such as TensorFlow, PyTorch, or Scikit-learn. Familiarity with healthcare data structures, workflows, and challenges (e.g., EMR/EHR integration, ICD/CPT coding, HL7/FHIR). Knowledge of voice recognition and transcription technologies is a plus. Skill in: Strong programming skills in Python or similar languages. Strong problem-solving skills and a growth mindset. Ability to: Eagerness to learn and adapt in a fast-paced, mission-driven environment. The company has reviewed this to ensure that essential functions and basic duties have been included. It is intended to provide guidelines for job expectations and the employee's ability to perform the position described. It is not intended to be construed as an exhaustive list of all functions, responsibilities, skills and abilities. Additional functions and requirements may be assigned by supervisors as deemed appropriate. This document does not represent a contract of employment, and the company reserves the right to change this job description and/or assign tasks for the employee to perform, as the company may deem appropriate. NextGen Healthcare is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Number of Positions: 1 Duration: 10 weeks, Full Time EDUCATIONAL RECOMMENDATIONS Actively pursuing a Ph.D. degree in Quantum Information Science, Quantum Communications, Quantum Physics, or a related field while enrolled at an accredited US University or College. Strong knowledge of quantum theory, quantum cryptography, and quantum error correction, and a strong foundation in the mathematics of quantum communications systems Demonstrable scientific programming skills and experience with quantum platforms, tools, and languages Excellent communication skills with the ability to present work to technical and non-technical audiences A self-driven attitude, working independently with minimal supervision, unwavering commitment to team goals, and enthusiasm for tackling new challenges. It would be nice if you also had: A sound understanding of Quantum Resource Theory Knowledge of network management and control Previous Nokia intern or co-op experience As a research intern on our team, you will be involved in: Conducting research aimed at developing classical and/or quantum algorithms and protocols for control and security of quantum, classical, and hybrid communication systems, and security of integrated classical-quantum systems. Developing approaches for efficient utilization and management of quantum resources such as entanglement over distances, Explore new research challenges in operationalizing existing or new theories and models of quantum resources. Contribute to developing proof-of-concept demonstrations, knowledge sharing, and presentation of results to stakeholders Collaborate with researchers and engineers across teams and with partners

(s): 1 Duration: 10 Weeks EDUCATIONAL RECOMMENDATIONS Currently a candidate for a PhD degree in Computer Science, Electrical Engineering, Computer Engineering, or Engineering in VLSI and telecommunication or related field with an accredited school in the USA. *Highly qualified Master's degree students will be considered You have at least TWO of the following: AI/ML programming frameworks: TensorFlow, PyTorch, Keras, etc. Background in compiler design and advanced computer architecture Programming for parallel systems and/or CUDA for GPU programming. Software-defined networks and real-time signal processing using DSPs Advanced RTL development skills and fluent in HDL (Verilog, SystemVerilog, and VHDL) and/or HLS (High-level Synthesis) Experience in ASIC physical design: circuit layout using Cadence (Innovus, Spectre, Virtuoso) and Synopsys (VCS, ICC) Knowledge in gate or RTL-level design optimization, timing closure analysis, and/or mixed-signal circuit design As a part of our team, you will: Work with seasoned Bell Labs researchers on the design and development of ASIC and/or proof-of-concept system platform Participate in a research project, work with mentor(s) to define, develop and conduct a research project Attend research talks in various technology areas Platform and ASIC (PAR) research project will be in any of the following areas: Acceleration of Artificial Intelligence/Machine Learning (AI/ML) models Digital signal processing and accelerator for 5G/6G communication systems Software-defined cloud-based radio access network (RAN) New materials/devices, e.g. Memristor, for high-performance computing or signal processing Application of AI/ML in SoC and system platform design

(s): 1 Duration: 10 weeks (Full-time) Dates: June 2026 - August 2026 EDUCATIONAL RECOMMENDATIONS: Currently a candidate pursuing a PhD program in engineering, thermal management, or related field at an accredited US university. Deep knowledge in thermodynamics, heat and mass transfer and two-phase flow Hands on experience with refrigerant-based two-phase cooling systems Experience with measurement techniques (e.g. temperature, pressure, flow rate, infrared thermography, etc.), calibrations and data processing Experience with Matlab, Python, SolidWorks, LabView, COMSOL Have a problem-solving mind, creativity and effective communication skills Participate in the full cycle of research and development, from conception and design through simulations, modeling, fabrication, testing, and implementation of two‑phase data center cooling technologies Engage in simulation and modeling activities to explore and optimize innovative thermal management approaches Contribute to fabrication and experimental testing to validate designs and bring concepts into practice Share research findings through oral presentations within the company to highlight progress and impact Generate publications for leading conferences and journals in the field of thermal sciences, advancing knowledge in the community

(s): 1 Duration: 10 Weeks EDUCATIONAL RECOMMENDATIONS A candidate for a PhD in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field with an accredited school in the USA. Demonstrated research experience with strong peer-reviewed publications. Ability to write clean, high-quality, maintainable code in research team environments. Experience working with statistical signal processing, Monte-Carlo simulation, probability theory. You will join our research team to contribute to high-quality foundational studies and help translate theoretical insights into practical models relevant to Nokia's optical communication technologies. Throughout the internship, you will engage in exploratory work, collaborate closely with experienced researchers, and participate in hands-on development involving photon-counting statistical models, optical signal detection algorithms, and simulation of noisy optical channels. These efforts will allow you to build skills, gain exposure to real-world challenges, and deepen your knowledge of photon-limited communication, optical detection theory, and the physics of noise in optical systems. Likely focus areas include: Modeling and simulation of Poissonian and thermal photon statistics Deriving and evaluating probability-of-detection expressions for optical pulses in strong background noise Developing and validating detection algorithms relevant to optical timing, sensing, and low-power communication

(s): 1 Duration: 10 Weeks Education Recommendations: Currently a candidate pursuing a PhD or Master's degree in Computer Science, Communications Engineering, Electrical Engineering, or a related field with an accredited school in the US. Strong programming skills: e.g., Python, C++, and similar Knowledge of communication networks Knowledge of cloud computing, e.g., tools like Kubernetes and Docker Nice to have: Experience with programming switches and network interface cards for custom functionality Experience with training and inference of large language models Knowledge of packet and optical transport networks An understanding of AI/ML methodologies As part of our team, you will: Work with members of the Bell labs Network Architecture Research team Define and implement software that solves cloud and networking problems Implement proof of concept demonstrations Leverage open-source and cloud software solutions

(s): 1 Duration: 10 Weeks Education Recommendations: Currently a candidate pursuing a PhD or Master's degree in Computer Science, Communications Engineering, Electrical Engineering, or a related field with an accredited school in the US. Strong analytical skills with the ability to conduct fast-paced research and derive actionable insights Proficiency in programming, particularly Python, along with experience using widely adopted libraries such as PyTorch and TensorFlow Solid foundational knowledge of communication theory and the principles of artificial intelligence Nice to have: Hands-on experience with digital twinning, 3D rendering and analysis tools or frameworks (e.g., Carla, Blender or similar platforms) Understanding of semantic and goal-oriented communication principles Practical expertise in training and evaluating advanced neural network models Familiarity with radio access network operations, including physical (PHY), medium access control (MAC) and higher-layer protocols As part of our team, you will: Work with members of the Bell labs Network Architecture Research team Define and implement software that solves Digital Twins and AI for RAN solutions Implement demonstrations of the developed solutions Leverage open-source and cloud software solutions

Wi-Fi Research Co-op/Intern Number of Positions: 2 Duration: 4 months Education Recommendations Currently a candidate for a Master's, or PhD (i.e., Computer Science, Electrical Engineering, Computer Systems Engineering, etc.) or a related field with an accredited school in US. You're a great fit if you have: Strong wireless communications background (MAC and/or PHY). Some exposure to IEEE 802.11be or IEEE 802.11bn is a plus. Strong C++ and Python programming skills. You like working in teams and have strong communication skills. It Would Be Nice If You Also Had: Deep knowledge of Wi-Fi. AI/ML expertise. Experience with wireless link or system simulations. As Part of the Team You Will: Take part in the research leading up to Wi-Fi 9. Take part in brainstorming on shortcomings of previous Wi-Fi generations, the KPIs that we should aim for and the new features which will get Wi-Fi 9 closer to meet these KPIs. Wi-Fi research comprises fundamental systematic research of exploratory nature for the development of next generation Wi-Fi technology, disrupting and superseding conventional approaches. Brainstorm and develop innovative MAC and PHY concepts for IEEE 802.11bn (Wi-Fi 8) and present these concepts to your team members. Research concepts and technologies for IEEE 802.11bn (Wi-Fi 8) and evaluate these concepts. Prepare contributions to IEEE 802.11bn.

Number of Positions: 1 Duration: 10 weeks, Full Time EDUCATIONAL RECOMMENDATIONS Actively pursuing a PhD degree in Computer Science, Engineering, Mathematics, or a related field while enrolled at an accredited US University or College. Knowledge of AI/ML foundations and concepts related to identifying patterns, forecasting outcomes, or evaluating system behavior. Demonstrable programming skills and interest in developing functional prototypes. Python experience preferred. Strong communication abilities, including presenting work to both technical and non-technical audiences. A proactive approach, steady dedication to team goals, and eagerness to take on new tasks. Ability to work with a high degree of ownership with minimal supervision. Nice to Have Experience with system reliability evaluation or dynamic system modeling. Interest in exploring underlying causes and effects, impact evaluation, root-cause investigation, or outcome forecasting. Experience incorporating data-informed insights into AI-enabled guidance tools or straightforward automation workflows. Previous Nokia intern or co-op experience. As part of our team, you will: Perform research and prototyping in AI/ML-based methods, focusing on practical exploration and idea development. Assist in developing models to interpret relationships and anticipate system behaviors across a variety of conditions, using advanced algorithms. Facilitate the creation of exploratory scenarios and summarize insights that help guide team choices, potentially using AI-enhanced simulations. Stay current with relevant research directions, explore new possibilities, and help expand the capabilities of modern AI approaches. Contribute to internal demonstrations, knowledge exchange, and clear communication of outcomes to stakeholders. Work closely with researchers, engineers, and partner teams to advance common goals.

(s): 1 Duration: 10 weeks EDUCATIONAL RECOMMENDATIONS Currently a candidate for a PhD or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, Systems Engineering, or related field with an accredited school in the USA. Solid background in wireless communication systems Expertise in one or more of the following: software development, computer architecture, parallel processing, and operating systems Proficient in C++, Python, Matlab, Shell scripting Experience with hands-on lab work on development, integration, and testing of distributed systems (e.g., Cloud RAN) Experience with Linux server platform It would be nice if you also had: Some relevant industry experience and/or peer-reviewed publications Experience with GPU (CUDA) programming and/or Deep Learning Experience with building and deploying software (CI/CD, Docker, Kubernetes etc.) Experience with network switch configuration and tools like Wireshark As part of our team, you will: Research, develop, modify, and test software modules for advanced wireless RAN systems (Layer 1, Layer 2, Layer 3) Identify techniques for software optimization and build prototypes to prove the idea Work hands-on to integrate, configure, maintain, and document lab experimentation hardware and implement proof-of-concept testbeds Troubleshoot end-to-end wireless systems (e.g., log file analysis) Carry out performance testing, data collection, and post processing / analysis

As devices and networks propel the future of work, Sakon is driving the associated process automation next wave. Sakon's Cloud Applications combined with the most seasoned team of telecom service practitioners has enabled 100's of the largest enterprises all over the world to Understand, Manage and Transform their device and communication service estates. We're building a new category of enterprise software in massive markets that needs continuous innovation. Sakon has led the way, with cloud platforms that workflow every technology related device, asset, service, and payment process, enabling the connected worker while maximizing the price to performance of enterprise networks. Sakon is headquartered in Concord, MA with additional locations across North America, Europe, and India. The Invoice Management team within the Telecom Expense Management (TEM) department plays a critical role in overseeing the end-to-end processing of telecom invoices to ensure accuracy, compliance, and cost efficiency. This team is responsible for the timely receipt, validation, and approval of invoices, including the accurate assignment of cost center and GL codes for seamless payment processing. They proactively identify and resolve billing discrepancies, manage disputes with vendors, and ensure adherence to contractual terms. In addition, the team conducts detailed invoice data analysis to support telecom cost optimization and delivers insightful reporting to aid financial planning and decision-making. Roles & Responsibilities· Ensure internal processes, documentation, and checklists are followed and maintained in a timely manner· Downloading and uploading invoices in Sakon portal.· Responsible for all the data entry tasks needed for the assigned project.· Maintain trackers, tracking portal, SFTP and E-Mail invoices, following for missing invoices. Skill and Experience· Excellent written, verbal, and interpersonal communication skills· Working knowledge on MS excel.· Should be able to work on customer applications/software for data entry. What We OfferØ Fully remote or hybrid work model with flexible hoursØ Collaborative, growth‑oriented culture focused on innovation and valuesØ A high‑growth, mission‑driven team passionate about enterprise success Work Hours40 hours per week StipendUSD 4000 per month DISCLAIMER: The preceding job description has been designed to indicate the general nature and level of work performed by employees within this job. It is not designed to contain or to be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job.

Company Cox Automotive - USA Job Family Group Business Operations Job Profile Intern - Technical Management Level Individual Contributor Flexible Work Option Hybrid - Ability to work remotely part of the week Travel % Yes, 5% of the time Work Shift Day Compensation Hourly base pay rate is $24.23 - $36.35/hour. The hourly base rate may vary within the anticipated range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include commission (annual, monthly, etc.) and/or an incentive program. Job Description In our rapidly evolving world, where the volume of data generated daily is reaching unprecedented levels, the role of Data Analytics has become indispensable. At Cox Automotive, analytics and insights are central to informing many business decisions that drive us towards our vision of transforming the way the world buys, wells, owns and uses vehicles. If you're interested in harnessing the power of data analytics in a fun, fast-paced and challenging environment then this Data Analytics Intern position could be the opportunity for you! What's In It For You? We value your time and potential. At Cox, you'll be exposed to meaningful and challenging work. You won't be left alone to figure things out. You'll have a team of supporters (plus an assigned program mentor) who will show you the ropes, guide you to excellence and cheer you on. You'll experience real accountability to develop your professional skills. You'll expand your network and professional toolbox through exposure to data and analytics professionals. You'll help us build a bold future that is sustainable, accessible and inclusive. What You'll Do You'll learn about Cox Automotive and the wider auto industry through analytics-focused assignments. You'll receive on-the-job training plus targeted development opportunities to help you engage with your strengths and crystalize your career interests. Here's a peek at the experiences that await you: Deliver insights by collecting, preparing, analyzing and presenting data. Develop valuable analytics and reporting skills. Build relationships and interact with cross-functional teams and key internal stakeholders. Manage multiple projects and tasks simultaneously. Complete a capstone project and present to a large audience. Document work completed and learn about analytics operations processes. Network with peers and professionals in the industry. What Will Make You Successful You're ready to learn and grow. You're excited to join a company that gives you a voice, supports your development and respects your time and talent. You have the following skills and qualifications: Currently a college student pursuing a BA/BS degree in a related field (including sciences, analytics, statistics, mathematics, computer sciences, UX design, marketing, etc.). Proficiency in Excel and SQL is required; experience with Python and Power BI is preferred but optional. Analytical skills, including a curiosity about exploring data to find new insights. Strong communication, relationship building and organization skills. Ability to responsibly leverage AI to complete tasks. Comfortable working independently, taking initiative, and asking for clarification when needed. Adaptable and curious, with a willingness to adopt new tools and approaches. Computer skills which include Microsoft Office suite and online research ability. Demonstrated basic AI literacy and ability to leverage AI tools to accelerate analytics tasks such as querying, reporting, data validation and repetitive tasks. US work authorization (sponsorship is not available for this program). Take the first exciting steps into your future with a company ready to help you succeed. Apply today! Drug Testing To be employed in this role, you'll need to clear a pre-employment drug test. Cox Automotive does not currently administer a pre-employment drug test for marijuana for this position. However, we are a drug-free workplace, so the possession, use or being under the influence of drugs illegal under federal or state law during work hours, on company property and/or in company vehicles is prohibited. Benefits Benefits of working at Cox may include health care insurance (medical, dental, vision), retirement planning (401(k)), and paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO). For more details on what benefits you may be offered, visit our benefits page. About Us Through groundbreaking technology and a commitment to stellar experiences for drivers and dealers alike, Cox Automotive employees are transforming the way the world buys, owns, sells - or simply uses - cars. Cox Automotive employees get to work on iconic consumer brands like Autotrader and Kelley Blue Book and industry-leading dealer-facing companies like vAuto and Manheim, all while enjoying the people-centered atmosphere that is central to our life at Cox. Benefits of working at Cox may include health care insurance (medical, dental, vision), retirement planning (401(k)), and paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO). For more details on what benefits you may be offered, visit our benefits page. Cox is an Equal Employment Opportunity employer - All qualified applicants/employees will receive consideration for employment without regard to that individual's age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law. Cox provides reasonable accommodations when requested by a qualified applicant or employee with disability, unless such accommodations would cause an undue hardship.Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT, STEM/OPT or visa sponsorship now or in future.