Data Science Internship jobs at Intel

RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE TYPE: Top SecretTRAVEL: Yes, 25% of the TimeDescriptionAt Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Put your skills to the test by pushing the boundaries of what's possible. From global defense to sustainment and modernization to mission readiness, your experience and ability will make it a reality. Our programs are built on equal parts of curiosity and collaboration. Our combined effort means our customers can connect and defend millions of people around the world. With Northrop Grumman, you'll have the opportunity to be an essential part of projects that will define your career, now and in the future. Northrop Grumman Aeronautics Systems is seeking a Data Insight Analyst (Level 2) or Principal Data Insight Analyst (Level 3) to join our team of qualified, diverse individuals. This position is located in Edwards AFB, CA Responsibilities: The successful candidate will be responsible in specifying, collecting, processing, and presenting information from potentially several disparate data sets. Will generate actionable knowledge from data. Have the analytical and problem-solving skills necessary for quickly developing recommendations based on quantitative and qualitative data from many different types of sources. Have the ability to identify patterns and higher-level information from all the data sources through use of tools and application programming. Understands the general problem space and is confident in explaining the different insights generated from the data. Responsible for data integrity and metrics reporting. Candidate must be familiar with aircraft systems such as avionics/mechanical equipment as well as other common systems. Data Insight Analyst (Level 2) Basic Qualifications: Must have 2 years with bachelor's degree or must have 0 years with Masters. 6 years of relevant experience may be used as a substitute for education. Applicants must be US citizens and hold a minimum active DoD Top Secret security clearance, in scope within 5 years, and be willing to submit to polygraph. Must have the ability to obtain and maintain Special Access Program (SAP) clearance within a reasonable amount of time as determined by business needs. Ability to extract and manipulate data from databases (e.g., SQL, SQL Server) Ability to use statistical programming languages and tools (e.g., Python, Tableau) Experienced Microsoft Office skills with emphasis in Excel, PowerPoint, and Access. Experience conducting ad hoc research and reporting through data analysis. Applicants must be willing to work a flexible work schedule that may include extended shifts, holidays, and weekends and support on call status for 24 hours-a-day, 7 days-a-week, 365 days a year. Principal Data Insight Analyst (Level 3) Basic Qualifications: Must have 5 years with bachelor's degree or must have 3 years with Masters. 10 years of relevant experience may be used as a substitute for education. Applicants must be US citizens and hold a minimum active DoD Top Secret security clearance, in scope within 5 years, and be willing to submit to polygraph. Must have the ability to obtain and maintain Special Access Program (SAP) clearance within a reasonable amount of time as determined by business needs. Ability to extract and manipulate data from databases (e.g., SQL, SQL Server) Ability to use statistical programming languages and tools (e.g., Python, Tableau) Advanced Microsoft Office skills with an emphasis in Excel, PowerPoint, and Access. Experience conducting ad hoc research and reporting through data analysis. Applicants must be willing to work a flexible work schedule that may include extended shifts, holidays, and weekends and support on call status for 24 hours-a-day, 7 days-a-week, 365 days a year. Preferred Qualifications: Operational experience is preferred over manufacturing or production, but all candidates will be considered. Understanding of Linear/Logistic Regression, Decision Trees, Random Forest boosting algorithms. Experience with technical writing skills and the ability to communicate complex data in a simple and actionable way. Additional education and/or experience relevant to the aircraft systems, aviation and aerospace Industry required. Primary Level Salary Range: $81,300.00 - $121,900.00Secondary Level Salary Range: $100,300.00 - $150,500.00The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit *********************************** U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE TYPE: SecretTRAVEL: Yes, 25% of the TimeDescriptionAt Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Description Put your skills to the test by pushing the boundaries of what's possible. From global defense to sustainment and modernization to mission readiness, your experience and ability will make it a reality. Our programs are built on equal parts of curiosity and collaboration. Our combined effort means our customers can connect and defend millions of people around the world. With Northrop Grumman, you'll have the opportunity to be an essential part of projects that will define your career, now and in the future. Northrop Grumman Defense System is seeking a Data Insight Analyst (Level 2) or Principal Data Insight Analyst (Level 3) to join our team of qualified, diverse individuals. Responsibilities: The successful candidate will be responsible in specifying, collecting, processing, and presenting information from potentially several disparate data sets. Will generate actionable knowledge from data. Have the analytical and problem-solving skills necessary for quickly developing recommendations based on quantitative and qualitative data from many different types of sources. Have the ability to identify patterns and higher-level information from all the data sources through use of tools and application programming. Understands the general problem space and is confident in explaining the different insights generated from the data. Responsible for data integrity and metrics reporting. Candidate must be familiar with aircraft systems such as avionics/mechanical equipment as well as other common systems. Data Insight Analyst (Level 2) Basic Qualifications: Ability to extract and manipulate data from databases (e.g., SQL, SQL Server) Ability to use statistical programming languages and tools (e.g., Python, Tableau) Experienced Microsoft Office skills with emphasis in Excel, PowerPoint, and Access. Must have 2 years with bachelor's degree or must have 0 years with Masters. 6 years of relevant experience may be used as a substitute for education. Experience conducting ad hoc research and reporting through data analysis. Applicants must be willing to work a flexible work schedule that may include extended shifts, holidays, and weekends and support on call status for 24 hours-a-day, 7 days-a-week, 365 days a year. Applicants must be US citizens and hold a minimum active DoD Top Secret security clearance, in scope within 5 years, and be willing to submit to polygraph. Additionally, the ability to obtain and retain Special Program access is required as condition of employment within 365 days of submission. Principal Data Insight Analyst (Level 3) Basic Qualifications: Ability to extract and manipulate data from databases (e.g., SQL, SQL Server) Ability to use statistical programming languages and tools (e.g., Python, Tableau) Advanced Microsoft Office skills with an emphasis in Excel, PowerPoint, and Access. Must have 5 years with bachelor's degree or must have 3 years with Masters. 10 years of relevant experience may be used as a substitute for education. Experience conducting ad hoc research and reporting through data analysis. Applicants must be willing to work a flexible work schedule that may include extended shifts, holidays, and weekends and support on call status for 24 hours-a-day, 7 days-a-week, 365 days a year. Applicants must be US citizens and hold a minimum active DoD Top Secret security clearance, in scope within 5 years, and be willing to submit to polygraph. Additionally, the ability to obtain and retain Special Program access is required as condition of employment within 365 days of submission. Preferred Qualifications: Operational experience is preferred over manufacturing or production, but all candidates will be considered. Understanding of Linear/Logistic Regression, Decision Trees, Random Forest boosting algorithms. Experience with technical writing skills and the ability to communicate complex data in a simple and actionable way. Additional education and/or experience relevant to the aircraft systems, aviation and aerospace Industry required. Level 2 Salary Range: $81,300.00 - $121,900.00 Level 3 Salary Range: $100,300.00 - $150,500.00 Employees may be eligible for a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. Primary Level Salary Range: $81,300.00 - $121,900.00Secondary Level Salary Range: $100,300.00 - $150,500.00The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit *********************************** U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

NVIDIA is the world leader in Accelerated Computing. We are passionate about four markets: Gaming, Automotive, Enterprise Graphics and HPC/Cloud Datacenters; in addition to our traditional OEM business. We are well positioned as the 'AI Computing Company', and our GPUs are the brains powering Deep Learning software frameworks, accelerated analytics, big data, modern data centers, and driving autonomous vehicles. We are seeking a Data Analyst to support our Finance organization in delivering scalable, high-impact solutions for analytical and reporting needs. In this role, you will build system and operational workflows for business leaders to understand the current state, highlight problems, and provide recommendations to resolve issues. You will transform complex financial and operational data-primarily sourced from SAP-into intuitive, accurate, and trusted analytical solutions, such as Power BI or Tableau reports. You'll collaborate closely with Finance partners, IT, and data engineering teams to ensure data accuracy, reliability, and that reporting tools effectively support decision-making, performance tracking, and financial transparency. This hands-on role blends technical proficiency with business insight, ideal for someone passionate about making financial data more accessible and actionable. What you'll be doing: * Collaborate within Finance and cross-functional teams (e.g., FP&A, Accounting, Procurement, Treasury, Ops, Sales Ops) to define reporting requirements, document business process workflows-including manual steps and pain points-and develop clear resolution roadmaps. * Design and maintain Power BI/Tableau dashboards, curated datasets, and semantic layers to support planning, variance analysis, spend tracking, and capital/investment reporting. * Partner with IT and data engineers to extract, model, and prepare data from SAP (S/4HANA, ECC, BW, Datasphere, BDC) and other systems (e.g., Workday, Coupa) to ensure reliable data foundations. * Ensure reporting accuracy and performance through validation, documentation of critical metrics and logic, and enablement of self-service tools. * Support enhancements, change control, and improve SAP data accessibility within modern platforms (e.g., Databricks, Snowflake). What we need to see: * Bachelor's degree in Finance, Business, Information Systems, or related field (or equivalent experience). * 5+ years of experience in BI development or financial analytics with strong proficiency in Power BI and/or Tableau. * Hands-on experience with SAP data (S/4HANA, ECC, BW), SQL, and data modeling. * Demonstrable ability to translate business needs into scalable reporting solutions and collaborate across technical and business teams. * Strong attention to detail, communication skills, and commitment to data quality. Ways to stand out from the crowd: * Experience with SAP data extraction tools (e.g., CDS Views, BEx, ODP) and modern cloud platforms (Databricks, Snowflake, Synapse). * Proficiency in financial important metrics (general ledger, cost centers, working capital) and experience with reporting automation or expediting financial close. * Exposure to semantic layer development, governed datasets, Python, or AI/ML tools. Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and hardworking people in the world working for us and if you're creative and autonomous, we want to hear from you! As you plan your future, see what we can offer to you and your family ************************ Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 116,000 USD - 195,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until December 17, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

**Introduction** IBM Research takes responsibility for technology and its role in society. Working in IBM Research means you'll join a team who invent what's next in computing, always choosing the big, urgent and mind-bending work that endures and shapes generations. Our passion for discovery, and excitement for defining the future of tech, is what builds our strong culture around solving problems for clients and seeing the real world impact that you can make. IBM's product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive. **Your role and responsibilities** We are looking for a talented and highly motivated intern to help advance our efforts in building autonomous data management systems. The work will include using foundation models (FMs) and AI agents for tasks such as data discovery, knowledge representation, data access and retrieval with querying, and automated data-driven insights. This is the core of the role: turning FMs and AI agents into dependable partners for real data work across modern data stacks. Our focus is on research and development for data workflow orchestration - taking natural language all the way to trusted insights across multiple tools and functions. This includes step-by-step planning and reasoning for complex data workflows, developing low-computational-cost inference techniques so FMs and AI agents can efficiently automate or assist users on data tasks, and advancing trustworthy data agents where gauging factuality, faithfulness, and transparency of outputs over structured and unstructured data is critical. In this context, uncertainty quantification and mitigation, along with improved planning and reasoning, play a central role, providing useful tools to strengthen user confidence, manage model error propagation, and enable uncertainty-aware post-training. Together, these efforts make agentic solutions more efficient, accurate, and trustworthy. Skills and tasks of interest include: * [LLM for code generation] Using foundation models for code generation specific to data tasks such as SQL or NoSQL for data retrieval, python code generation for analytical insights. * [Knowledge Graphs, Multi-Modal FMs] Combining foundation models, knowledge graphs, multi-modal structured and unstructured data to improve data discovery and automated Text-to-SQL. * [FM Inference] Improving FM inference for both answer quality and computational cost. * [LLMs for DataOps] Creating generative-AI tooling for DataOps (e.g., data integration and flows), analogous to DevOps accelerators but for data engineering and analytics. * [Efficient and Reliable AI Agents] Creating efficient AI Agents that can reliably operate as part of an autonomous system. **Required technical and professional expertise** * Pursuing graduate studies in computer science or related fields * At least one main author research publication at a top conference in AI such as NeurIPS, AAAI, VLDB, SIGMOD, IJCAI, ICML, ICLR, and ICAPS * Familiarity and working expertise with large language models **Preferred technical and professional experience** * Familiarity with knowledge graphs, SQL, RAG, Agentic frameworks * Familiarity with reinforcement learning, AI planning * Familiarity with prompt optimization techniques IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity We are seeking an experienced Data Scientist to join the Adobe Stock Analytics and Insights team! This will be a key hire for the Data Science CoE (Center of Excellence) for the Adobe Stock business unit. You will partner closely with Marketing, Product, and Engineering teams to develop data science solutions that inform acquisition strategies, optimize retention, and forecast demand. Your work will directly influence Adobe Stock's roadmap by uncovering growth levers and patterns in user behavior, acquisition channels, and user churn dynamics. What you'll Do Develop and refine customer segmentation models using unsupervised learning techniques to identify behavioral clusters and inform targeting strategies. Build and maintain forecasting models (e.g., ARIMA, Prophet) to predict demand and user engagement trends. Define and exemplify the value of customers over time (LTV) and develop strategies to improve it in acquisition and retention processes. Lead churn modeling initiatives to proactively identify at-risk users and recommend mitigation strategies. Create reusable machine learning pipelines and data artifacts that scale across the organization. Collaborate with cross-functional teams to design experiments and interpret results, including A/B testing and cohort analyses. Share complex modeling outcomes and insights with both technical and non-technical collaborators. What you need to succeed 8+ years of experience in data science or advanced analytics, ideally within eCommerce or digital platforms. Strong proficiency in Python and SQL for data manipulation, modeling, and analysis. Experience with Databricks or similar cloud-based data platforms. Deep understanding of time series forecasting, including ARIMA, Prophet, and other statistical models. Proven ability to build and deploy unsupervised learning models for customer segmentation. Expertise in data visualization tools like Tableau or equivalent. Strong foundation in statistical modeling, experimentation, and lifecycle analytics. Ability to work independently and lead complex projects from ideation to delivery. BS degree in computer science or a related degree is required or equivalent practical experience Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $154,900 -- $281,000 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.In California, the pay range for this position is $194,000 - $281,000 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity We are seeking an experienced Data Scientist to join the Adobe Stock Analytics and Insights team! This will be a key hire for the Data Science CoE (Center of Excellence) for the Adobe Stock business unit. You will partner closely with Marketing, Product, and Engineering teams to develop data science solutions that inform acquisition strategies, optimize retention, and forecast demand. Your work will directly influence Adobe Stock's roadmap by uncovering growth levers and patterns in user behavior, acquisition channels, and user churn dynamics. What you'll Do * Develop and refine customer segmentation models using unsupervised learning techniques to identify behavioral clusters and inform targeting strategies. * Build and maintain forecasting models (e.g., ARIMA, Prophet) to predict demand and user engagement trends. * Define and exemplify the value of customers over time (LTV) and develop strategies to improve it in acquisition and retention processes. * Lead churn modeling initiatives to proactively identify at-risk users and recommend mitigation strategies. * Create reusable machine learning pipelines and data artifacts that scale across the organization. * Collaborate with cross-functional teams to design experiments and interpret results, including A/B testing and cohort analyses. * Share complex modeling outcomes and insights with both technical and non-technical collaborators. What you need to succeed * 8+ years of experience in data science or advanced analytics, ideally within eCommerce or digital platforms. * Strong proficiency in Python and SQL for data manipulation, modeling, and analysis. * Experience with Databricks or similar cloud-based data platforms. * Deep understanding of time series forecasting, including ARIMA, Prophet, and other statistical models. * Proven ability to build and deploy unsupervised learning models for customer segmentation. * Expertise in data visualization tools like Tableau or equivalent. * Strong foundation in statistical modeling, experimentation, and lifecycle analytics. * Ability to work independently and lead complex projects from ideation to delivery. * BS degree in computer science or a related degree is required or equivalent practical experience Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $154,900 -- $281,000 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $194,000 - $281,000 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

**Description:** **The coolest jobs on this planet... or any other... are with Lockheed Martin Space** At the dawn of a new space age, Lockheed Martin is a pioneer, partner, innovator and builder\. Our amazing people are on a mission to make a difference in the world and every day we use our unique skills and experiences to create, design and build solutions to some of the worlds' hardest engineering problems\. Our culture encourages employees to dream big, perform with excellence and create incredible products\. We provide the resources, inspiration and focus and if you have the passion and courage to dream big, we want to build a better tomorrow with you\. Going to space is just the beginning\. It's what you do when you get there that matters\. Lockheed Martin builds the satellites and spacecraft that do amazing things in space for government and commercial customers\. Connecting people\. Advancing discovery\. And protecting what matters most\. Lockheed Martin\-built satellites give earlier warning of severe weather, connect troops on the battlefield, and deliver GPS directions to a billion people worldwide\. As we look to the future, we're driving innovations to help our customers do even more in orbit\. That's why we're crafting smarter satellites that operate like smartphones in the sky, with apps that can be updated in orbit so they can adapt as mission needs on the ground change\. Your mission is ours\. And as that mission evolves, we'll be ready\. Will you? Every day, our 115,000 employees come to work with one focus - our customers' missions\. Our customers tackle the hardest missions\. Those that demand extraordinary amounts of courage, resilience and precision\. They're dangerous\. Critical\. Sometimes they even provide an opportunity to change the world and save lives\. Those are the missions we care about\. Lockheed Martin\. Your Mission is Ours\. - - - **What does this role look like?** Come join Lockheed Martin's National Security Space Remote Sensing \(RS\) Engineering Team\. This team has been a primary provider of national Remote Sensing capabilities for over 50\+ years\. As part of our team, you will get to build products that elevate the mission and be a trusted partner for critical national capabilities\. We are seeking a candidate with experience in program Configuration & Data Management \(CDM\) processes, procedures, and tools\. The candidate will be supporting Remote Sensing programs with implementation of new and existing hardware's Configuration documentation requirements\. The CDM candidate must have a sound understanding of CDM life\-cycle activities and how to appropriately apply the principles of EIA 649\. Also seeking candidate who possesses solid verbal and writing communication skills\. We are looking for a detail\-oriented person with strong organizational skills to manage priorities for multiple tasks\. As part of the Configuration & Data Management team, your responsibilities will include: - Reviewing, analyzing, and releasing engineering changes and other requirements documentation in the Product Lifecycle Management repository \(EPDM\), including initiation and follow up activities for corrective actions - Ensure customer contract and configuration/data management requirements are met - Support administration of CDM repository databases and systems\. - Manage accurate baselines and provide status accounting reporting\. - Participate in CM audit events - Conducting/managing change boards, tracking action items, and generating meeting minutes - Analyzing Contract Data Requirements List \(CDRL\)/Subcontractor Data Requirements List \(SDRL\) for contract and task compatibility and loading CDRL/SDRLs to tracking tools and websites \#NSSGS **Basic Qualifications:** - Knowledge or experience of configuration and data management principles and standards such as ANSI/EIA\-649\. - Experience managing a technical baseline in Windchill EPDM or another Enterprise Product Data Management \(PDM\) system\. - Experience in both formal and informal releases in EPDM\. - Experience with Contract Deliverable Requirement List \(CDRL\), managing deliverable schedules and performing deliveries to the customer\. - Experience in Data Management activities such as scheduling, tracking, and submitting data, and/or working with data repositories\. - Experience in conducting/managing change boards or similar meetings, tracking action items, and generating meeting minutes\. - Proficiency in Microsoft Office Suite\. - Active or Current TS/SCI security clearance, thus US citizenship is required\. **Desired Skills:** - Ability to multitask and lead across several competing priorities and meet tight deadlines - Strong decision\-making skills with the ability to understand and work with various disciplines\. - Excellent written and oral communication skills\. - Experience in conducting CM audit events such as Configuration Verification Audit, Functional Configuration Audit, and Physical Configuration Audit - Experience in Access Databases, Confluence, Teams, and other collaboration tools - Experience with C&DM start\-up activities\. - Proficiency in Security and Data Marking practices - Strong leadership and team management skills - Systems thinking - Technical, Business, or related degree; or equivalent combination of education and experience **Security Clearance Statement:** This position requires a government security clearance, you must be a US Citizen for consideration\. **Clearance Level:** TS/SCI **Other Important Information You Should Know** **Expression of Interest:** By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match\. Should this match be identified you may be contacted for this and future openings\. **Ability to Work Remotely:** Onsite Full\-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility\. **Work Schedules:** Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees\. Schedules range from standard 40 hours over a five day work week while others may be condensed\. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits\. **Schedule for this Position:** 9x80 every other Friday off **Pay Rate:** The annual base salary range for this position in California, Massachusetts, and New York \(excluding most major metropolitan areas\), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $90,200 \- $159,045\. For states not referenced above, the salary range for this position will reflect the candidate's final work location\. Please note that the salary information is a general guideline only\. Lockheed Martin considers factors such as \(but not limited to\) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer\. **Benefits offered:** Medical, Dental, Vision, Life Insurance, Short\-Term Disability, Long\-Term Disability, 401\(k\) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays\. \(Washington state applicants only\) Non\-represented full\-time employees: accrue at least 10 hours per month of Paid Time Off \(PTO\) to be used for incidental absences and other reasons; receive at least 90 hours for holidays\. Represented full time employees accrue 6\.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays\. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year\. This position is incentive plan eligible\. **Pay Rate:** The annual base salary range for this position in most major metropolitan areas in California, Massachusetts, and New York is $103,700 \- $179,860\. For states not referenced above, the salary range for this position will reflect the candidate's final work location\. Please note that the salary information is a general guideline only\. Lockheed Martin considers factors such as \(but not limited to\) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer\. **Benefits offered:** Medical, Dental, Vision, Life Insurance, Short\-Term Disability, Long\-Term Disability, 401\(k\) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays\. This position is incentive plan eligible\. **Lockheed Martin is an equal opportunity employer\. Qualified candidates will be considered without regard to legally protected characteristics\.** **The application window will close in 90 days; applicants are encouraged to apply within 5 \- 30 days of the requisition posting date in order to receive optimal consideration\.** At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges\. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work\. With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility\. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work\. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility\. If this sounds like a culture you connect with, you're invited to apply for this role\. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs , and apply for roles that align with your qualifications\. **Experience Level:** Experienced Professional **Business Unit:** SPACE **Relocation Available:** Possible **Career Area:** Systems Engineering: Other **Type:** Full\-Time **Shift:** First

We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. **Required Skills:** Data Scientist (Technical Leadership) Responsibilities: 1. Work with complex data sets to solve challenging problems using analytical and statistical approaches 2. Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies 3. Identify and measure success through goal setting, forecasting, and monitoring key metrics 4. Partner with cross-functional teams to inform and execute product strategy and investment decisions 5. Build long-term vision and strategy for programs and products 6. Collaborate with executives to define and develop data platforms and instrumentation 7. Effectively communicate insights and recommendations to stakeholders 8. Define success metrics, forecast changes, and set team goals 9. Support developing roadmaps and coordinate analytics efforts across teams **Minimum Qualifications:** Minimum Qualifications: 10. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 11. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab) 12. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development 13. Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance 14. Experience with predictive modeling, machine learning, and experimentation/causal inference methods 15. Experience communicating complex technical topics in a clear, precise, and actionable manner **Preferred Qualifications:** Preferred Qualifications: 16. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy 17. Masters or Ph.D. Degree in a quantitative field 18. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research) 19. 10+ years of experience doing complex quantitative analysis in product analytics **Public Compensation:** $206,000/year to $281,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. **Required Skills:** Data Scientist (Technical Leadership) Responsibilities: 1. Work with complex data sets to solve challenging problems using analytical and statistical approaches 2. Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies 3. Identify and measure success through goal setting, forecasting, and monitoring key metrics 4. Partner with cross-functional teams to inform and execute product strategy and investment decisions 5. Build long-term vision and strategy for programs and products 6. Collaborate with executives to define and develop data platforms and instrumentation 7. Effectively communicate insights and recommendations to stakeholders 8. Define success metrics, forecast changes, and set team goals 9. Support developing roadmaps and coordinate analytics efforts across teams **Minimum Qualifications:** Minimum Qualifications: 10. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 11. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab) 12. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development 13. Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance 14. Experience with predictive modeling, machine learning, and experimentation/causal inference methods 15. Experience communicating complex technical topics in a clear, precise, and actionable manner **Preferred Qualifications:** Preferred Qualifications: 16. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy 17. Masters or Ph.D. Degree in a quantitative field 18. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research) 19. 10+ years of experience doing complex quantitative analysis in product analytics **Public Compensation:** $206,000/year to $281,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.) 8. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience 9. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $173,000/year to $242,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! About the Role: Do you enjoy solving business problems and uncovering insights from data? Join the Product Data Science team within Adobe Experience Cloud! We are a high-impact group that applies machine learning and advanced analytics to help product, marketing, and engineering teams improve how customers realize value from Adobe's enterprise products. This role is ideal for someone who's curious, quantitative, and eager to grow as a data scientist while working on meaningful problems. In This Role, You Will: Design, build and productionize machine-learning models that generate insights, segment users, predict outcomes, and drive measurable business impact. Analyze product usage and customer datasets to uncover behavioral patterns, feature adoption trends, and growth opportunities. Build and maintain robust data workflows that clean, transform, and validate structured and unstructured data using scalable tools and platforms (such as Databricks, Spark or similar). Develop reproducible codebases, notebooks, and utilities that improve efficiency, consistency, and collaboration across analytics and ML projects. Practice and promote strong data practices, including transparency, version control, reproducibility, and compliance with governance and security requirements. Visualize and communicate analytical results clearly, presenting findings and recommendations that enable partners to make data-driven decisions. Collaborate cross-functionally with product managers, marketers, engineers, and other data scientists to define data science questions, develop solutions, validate outcomes, and translate results into actionable insights. You Will Thrive in This Role If You Have: Proficiency in Python and SQL, with hands-on experience in data manipulation and applied machine learning using libraries such as Pandas, NumPy, Scikit-learn, and Matplotlib/Seaborn. Proven ability in designing and implementing scalable data and feature pipelines using distributed frameworks such as Spark or Databricks, ensuring data quality, performance, and reproducibility. Strong foundation in statistics and experimental design, including hypothesis testing, regression, and model evaluation. Ability to apply software-engineering standards; modular, well-documented code, version control (Git), reproducible workflows, and testing for model and data quality. Strong problem-solving and critical-thinking skills, with the ability to work rigorously through ambiguity and make sound technical decisions. Collaborative approach and effective communication skills, being able to translate complex technical results into clear insights and work closely with cross-functional partners. 4+ years of relevant experience in data science or related technical roles, preferably within applied machine learning or product data science environments Postgraduate degree or equivalent experience in a quantitative field (such as Statistics, Computer Science, Data Science, Engineering, or related field). You Could Be an Especially Great Fit If You Have: Familiarity with NLP, LLMs or Generative AI, including embeddings, topic modeling, prompt engineering, or retrieval-augmented generation (RAG). Exposure to MLOps and workflow practices that support scalable, reliable analytics and model deployment (model versioning, monitoring, automation). Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $109,000 -- $200,700 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $138,600 - $200,700 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity As a Data Scientist on the Experience & Engagement (XE) Home Data Science team, you will be a critical part of the team building delightful experiences driving customer success and tangible business growth. We are looking for candidates who are passionate about using statistical, analytical, and machine learning techniques to extract, analyze, and interpret large volumes of data, thereby transforming it into meaningful information to drive decision-making and optimize outcomes. The ideal candidate will have a combination of strong technical skills along with the ability to work with a diverse, distributed multi-functional team. What you'll Do * Collaborate with product, engineering, and design partners to analyze how users engaged with our Home surfaces (web and desktop). * Conduct sound statistical analysis of Home surfaces to recognize patterns that lead to actionable insights. Identify any gaps in data collection and observation. * Interpret the results and then simplify and synthesize them for partners, using a wide range of visualization and storytelling techniques. * Be a specialist of stitching and calibrating sparse and noisy semi-structured or unstructured data across various data sources. * Partner with experts across multiple functions (Product, Engineering, Sales, and Marketing) to understand customer behavior and pain-points and use insights to make recommendations to improve product and customer experience. What you need to succeed * Master's or PhD (or equivalent work experience) in Computer Science, Data Science, Statistics, or a related field of study. Alternatively, a Bachelor's degree with practical experience. * Minimum 3+ years of experience as a Data Scientist or in a similar role. * Experience with hypothesis or A/B test analyses. * Hands-on experience working with large data sets. Prior experience with a big data platform like Databricks, Apache Spark or Apache Hadoop. * Expert in at least one programming or data manipulation language, preferably Python and SQL. * Data storytelling skills. * Excellent oral and written communication. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $109,000 -- $200,700 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $138,600 - $200,700 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Digital Media Mobile Go-to-Market Applied Data Science and Analytics team is looking for a seasoned and passionate Data Scientist (Individual Contributor) to drive the rapid growing mobile business. This is a hybrid role of data science and strategy. In this role, you will leverage your data science skill and machine learning techniques to generate actionable data-driven recommendations to empower mobile business across full funnel of customer journey (acquisition, monetization, engagement and retention). The ideal candidate will be a ‘self-starter' with outstanding quantitative analytical skill, superb business intuition, fantastic communication skill, and most importantly, the ability to use analytics to drive/influence business decision making. What You Will Do Apply expertise in quantitative analysis and data modeling to gain deep insights into customers behaviors/journey across surfaces, short and long-term trend, and present impactful recommendations to grow the business Acting as a thought partner to the GTM business leads, Sales, PM, PMM, and other partners and influence decisions through the storytelling of data-driven recommendations, analysis, and experiment results Identify the business opportunities, build the use cases, and recommend data science initiatives to unlock the business that will inform our data science plan and data driven product roadmap Using data science models to tackle critical business challenges and drive recurring, scalable, and programmatic business unlocks Recommend testing ideas based on the analysis What Is Needed To Succeed Bachelor's degree in quantitative fields, e.g., Computer Science, Math/Statistics, Economics, Physics, or equivalent practical experience. MBA or a master's degree is preferred 2-3 years hands-on experience doing quantitative analysis in tech or management consulting Demonstrable experience using quantitative analysis/statistical modeling on data sets to tackle intricate business problems Phenomenal at telling stories with data and communicating it to partners at all levels to influence critical decision making Strong proficiency in querying and manipulating volumes of data sets for analytical purposes using SQL-like languages Deep understanding of mobile analytics, mobile user journey and funnel analysis is strongly preferred Statistical Modeling in Microsoft Excel or Power Pivot Experience building and training statistical/data science models Experience in Data Visualization tools, preferably, Tableau and Power BI A solid sense of self and a great sense of humor A fast learner with desire to learn new things Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $109,000 -- $200,700 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $138,600 - $200,700 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Digital Media Mobile Go-to-Market Applied Data Science and Analytics team is looking for a seasoned and passionate Data Scientist (Individual Contributor) to drive the rapid growing mobile business. This is a hybrid role of data science and strategy. In this role, you will leverage your data science skill and machine learning techniques to generate actionable data-driven recommendations to empower mobile business across full funnel of customer journey (acquisition, monetization, engagement and retention). The ideal candidate will be a 'self-starter' with outstanding quantitative analytical skill, superb business intuition, fantastic communication skill, and most importantly, the ability to use analytics to drive/influence business decision making. What You Will Do * Apply expertise in quantitative analysis and data modeling to gain deep insights into customers behaviors/journey across surfaces, short and long-term trend, and present impactful recommendations to grow the business * Acting as a thought partner to the GTM business leads, Sales, PM, PMM, and other partners and influence decisions through the storytelling of data-driven recommendations, analysis, and experiment results * Identify the business opportunities, build the use cases, and recommend data science initiatives to unlock the business that will inform our data science plan and data driven product roadmap * Using data science models to tackle critical business challenges and drive recurring, scalable, and programmatic business unlocks * Recommend testing ideas based on the analysis What Is Needed To Succeed * Bachelor's degree in quantitative fields, e.g., Computer Science, Math/Statistics, Economics, Physics, or equivalent practical experience. MBA or a master's degree is preferred * 2-3 years hands-on experience doing quantitative analysis in tech or management consulting * Demonstrable experience using quantitative analysis/statistical modeling on data sets to tackle intricate business problems * Phenomenal at telling stories with data and communicating it to partners at all levels to influence critical decision making * Strong proficiency in querying and manipulating volumes of data sets for analytical purposes using SQL-like languages * Deep understanding of mobile analytics, mobile user journey and funnel analysis is strongly preferred * Statistical Modeling in Microsoft Excel or Power Pivot * Experience building and training statistical/data science models * Experience in Data Visualization tools, preferably, Tableau and Power BI * A solid sense of self and a great sense of humor * A fast learner with desire to learn new things Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $109,000 -- $200,700 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $138,600 - $200,700 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.) 8. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience 9. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $173,000/year to $242,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! About the Role: Do you enjoy solving business problems and uncovering insights from data? Join the Product Data Science team within Adobe Experience Cloud! We are a high-impact group that applies machine learning and advanced analytics to help product, marketing, and engineering teams improve how customers realize value from Adobe's enterprise products. This role is ideal for someone who's curious, quantitative, and eager to grow as a data scientist while working on meaningful problems. In This Role, You Will: * Design, build and productionize machine-learning models that generate insights, segment users, predict outcomes, and drive measurable business impact. * Analyze product usage and customer datasets to uncover behavioral patterns, feature adoption trends, and growth opportunities. * Build and maintain robust data workflows that clean, transform, and validate structured and unstructured data using scalable tools and platforms (such as Databricks, Spark or similar). * Develop reproducible codebases, notebooks, and utilities that improve efficiency, consistency, and collaboration across analytics and ML projects. * Practice and promote strong data practices, including transparency, version control, reproducibility, and compliance with governance and security requirements. * Visualize and communicate analytical results clearly, presenting findings and recommendations that enable partners to make data-driven decisions. * Collaborate cross-functionally with product managers, marketers, engineers, and other data scientists to define data science questions, develop solutions, validate outcomes, and translate results into actionable insights. You Will Thrive in This Role If You Have: * Proficiency in Python and SQL, with hands-on experience in data manipulation and applied machine learning using libraries such as Pandas, NumPy, Scikit-learn, and Matplotlib/Seaborn. * Proven ability in designing and implementing scalable data and feature pipelines using distributed frameworks such as Spark or Databricks, ensuring data quality, performance, and reproducibility. * Strong foundation in statistics and experimental design, including hypothesis testing, regression, and model evaluation. * Ability to apply software-engineering standards; modular, well-documented code, version control (Git), reproducible workflows, and testing for model and data quality. * Strong problem-solving and critical-thinking skills, with the ability to work rigorously through ambiguity and make sound technical decisions. * Collaborative approach and effective communication skills, being able to translate complex technical results into clear insights and work closely with cross-functional partners. * 4+ years of relevant experience in data science or related technical roles, preferably within applied machine learning or product data science environments * Postgraduate degree or equivalent experience in a quantitative field (such as Statistics, Computer Science, Data Science, Engineering, or related field). You Could Be an Especially Great Fit If You Have: * Familiarity with NLP, LLMs or Generative AI, including embeddings, topic modeling, prompt engineering, or retrieval-augmented generation (RAG). * Exposure to MLOps and workflow practices that support scalable, reliable analytics and model deployment (model versioning, monitoring, automation). Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $109,000 -- $192,400 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Digital Media Mobile Go-to-Market Applied Data Science and Analytics team is looking for a seasoned and passionate Data Scientist (Individual Contributor) to drive the rapid growing mobile business. This is a hybrid role of data science and strategy. In this role, you will leverage your data science skill and machine learning techniques to generate actionable data-driven recommendations to empower mobile business across full funnel of customer journey (acquisition, monetization, engagement and retention). The ideal candidate will be a 'self-starter' with outstanding quantitative analytical skill, superb business intuition, fantastic communication skill, and most importantly, the ability to use analytics to drive/influence business decision making. What You Will Do * Apply expertise in quantitative analysis and data modeling to gain deep insights into customers behaviors/journey across surfaces, short and long-term trend, and present impactful recommendations to grow the business * Acting as a thought partner to the GTM business leads, Sales, PM, PMM, and other partners and influence decisions through the storytelling of data-driven recommendations, analysis, and experiment results * Identify the business opportunities, build the use cases, and recommend data science initiatives to unlock the business that will inform our data science plan and data driven product roadmap * Using data science models to tackle critical business challenges and drive recurring, scalable, and programmatic business unlocks * Recommend testing ideas based on the analysis What Is Needed To Succeed * Bachelor's degree in quantitative fields, e.g., Computer Science, Math/Statistics, Economics, Physics, or equivalent practical experience. MBA or a master's degree is preferred * 2-3 years hands-on experience doing quantitative analysis in tech or management consulting * Demonstrable experience using quantitative analysis/statistical modeling on data sets to tackle intricate business problems * Phenomenal at telling stories with data and communicating it to partners at all levels to influence critical decision making * Strong proficiency in querying and manipulating volumes of data sets for analytical purposes using SQL-like languages * Deep understanding of mobile analytics, mobile user journey and funnel analysis is strongly preferred * Statistical Modeling in Microsoft Excel or Power Pivot * Experience building and training statistical/data science models * Experience in Data Visualization tools, preferably, Tableau and Power BI * A solid sense of self and a great sense of humor * A fast learner with desire to learn new things Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $109,000 -- $200,700 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $138,600 - $200,700 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.) 8. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience 9. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $173,000/year to $242,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Meta is seeking a highly skilled Data Scientist to join our Infrastructure Data Centers team. As a lead data scientist, you will partner with stakeholders, program managers, and other data science functions to translate Meta's Infrastructure Data Centers' data into value. You will have the opportunity to work on a wide range of data science projects, such as developing an analytics program to drive operational efficiency, conducting strategic analysis to facilitate decision making, measuring Machine Learning models and automation to increase predictive accuracy and reduce manual effort, and working with software developers to build analytic solutions.You will have experience with working in ambiguous environment and creating impact from the ground up in a fast-paced environment. Additionally, you will have a proven track record of thought leadership and impact in developing similar analytics programs and machine learning solutions. This position is part of the Infrastructure Data Centers organization. **Required Skills:** Data Scientist Responsibilities: 1. Collaborate with cross-functional data and business teams to define problems, analyze impacts, identify opportunities, and develop solutions that improve decision-making and efficiency 2. Translate business challenges into data-driven problems and design appropriate data science solutions, including metrics and analytics, business intelligence, experimentation 3. Identify operational gaps, build analytical models to derive insights, and support decision-making across organizational leadership 4. Design and implement statistical models such as hypothesis testing, forecasting, statistical process control, and simulation to influence critical business decisions and Data Center operations 5. Utilize expertise in statistics, machine learning, optimization, and automation to develop analytics solutions 6. Work closely with stakeholders, data engineers, and program/product managers to ensure a seamless progress 7. Educate and influence stakeholders to enhance operational efficiency with empathy 8. Recommend process improvements based on operational data and user behavior to boost business performance **Minimum Qualifications:** Minimum Qualifications: 9. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta 10. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 11. 4+ years of experience (1+ years of experience post Ph.D.) managing and analyzing large-scale data using Python, R, or similar languages 12. 4+ years of experience (1+ years of experience post Ph.D.) working with visualization tools such as Tableau, PowerBI, or similar 13. 4+ years experience (1+ years of experience post Ph.D.) analyzing and interpreting data, developing metrics, drawing conclusions, recommending actions, and reporting results across stakeholders 14. 4+ years of experience (1+ years of experience post Ph.D.) with advanced SQL in big data environments (e.g., Hive, Presto, Spark) and data modeling 15. Experience in enhancing data collection procedures, data processing, cleansing, and verifying the integrity of data used for analysis 16. Proven track record of managing and leading cross-functional projects and teams 17. Solid understanding of machine learning techniques and algorithms 18. Hands-on programming experience in one or more of: AI/ML, LLM, NLP, Statistical modeling 19. Proficient in statistical analysis and experimental design **Preferred Qualifications:** Preferred Qualifications: 20. Technical knowledge of data center operations 21. Masters degree in Computer Science, Engineering, Mathematics, Statistics, Operations Research, or a related analytical field 22. Knowledge of simulation and optimization techniques 23. Communication and storytelling skills to influence all organizational levels (engineers, executives and cross functional teams) to drive business decisions **Public Compensation:** $114,000/year to $171,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.