Data Scientist jobs at Intel - 90 jobs

Data Scientist/DB Lead (TS clearance required)
Lockheed Martin 4.8
Sunnyvale, CA jobs
The Predictive Analytics and Cost Engineering (PACE) team is a data science team that combines technical engineering attributes and financial information to create data-driven cost estimates for program capture and support. The PACE team collects, normalizes and maps data to a standard work breakdown structure (WBS) to perform data analytics for internal and external customer support and deliverables. As part of the Finance and Business Operations (F&BO) organization, this team also works closely with Engineering and Technology (E&T), Strategy and Business Development (S&BD), Program/Proposal Management and Leads, Executive leadership and external customers. In particular, this position would be in support of managing our Historical Satellite Database, a centralized repository for space program cost/technical data normalized to a standard WBS. This includes managing day to day activities with data imports/exports from a wide range of data sources, troubleshooting, as well as leading capability enhancements. In addition, this position would be in support of significant programs/capture efforts across the lines of business (LOB). This may also involve proposal and/or data analytics and cost estimating tool development or enhancements. The role may include working on affordability analysis, life cycle cost developments, cost data analytics, forecasting cost and schedule, data collection and normalization, and design to cost. The candidate selected will be asked to analyze multiple data sets to build engineering models, synthesize results, perform decision analysis, and communicate findings with engineering colleagues and internal decision makers. Responsibilities In this position, you will: • Manage our Historical Satellite Database that informs our forecasting tools, techniques and methods • Be POC for architecture and development of our Strategic Missile Defense (SMD) line of business (LOB) data repository and support development of standard forecasting tools and dashboards • Be POC for our Human Space data repository and support development of standard forecasting tools and dashboards • Lead areas of data repository enhancements to build more efficiency and effectiveness into the utilization of data across PACE and other major functional organizations. • Create ETL pipelines that clean, transform, and aggregate unorganized data into databases or data sources that are ready for analysis. • Formulating functional and technical requirements from business problems • Coordinate with Engineering, Business Development, Program Finance, Estimating, Proposal Management, and ICE around cost estimates. • Present briefings to colleagues, senior staff, and executives. • Develop data-driven cost estimates for proposal efforts that are parametrically derived. • Normalize cost and technical data. • Become knowledgeable and responsible to answer questions around cost estimates and cost drivers. Basic Qualifications - Bachelor's or higher level degree degree in Math, Operations Research, Engineering, Finance, or any other related field or equivalent years of experience in lieu of degree - Currently active TS Clearance - SQL experience - Experience with data transformation or data movement or data analytics - Strong communication and interpersonal skills - Exceptional critical thinking and problem-solving abilities - Detail-oriented with ability to multitask, prioritize and balance multiple tasks at once - High degree of accountability and responsibility with the ability to be a self-starter - Experience with and understanding of one or more of the following: cost model development or data collection and normalization or data science or data analytics or systems engineering/architecture or spacecraft engineering fields or finance fields Desired skills - Currently active TS/ SCI clearance - Master's degree in Math, Operations Research, Engineering, Finance, or related field or equivalent years of experience - Experience with Power BI and/or Tableau - Experience working with cost models, predictive analytics, or decision analysis - Knowledge of financial systems, analysis, statistics, etc. - Experience working within the space systems industry - Knowledge of data management systems and/or data science - Ability to communicate technically oriented material to broader team - Familiarity with proposal development and/or the government acquisition process - Strong team collaboration and leadership skills - Experience with Python focused on data transformation and data movement - Comfortable navigating technical and cost data with the intent of understanding the relationship between them when working a task and/or presenting results - 5+ years of related experience 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. Other Important Information 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 Part-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process. Work Schedule Information 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. Security Clearance Information This position requires a government security clearance, you must be a US Citizen for consideration. 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 $128,200 - $225,975. 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 $147,400 - $255,530. 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.
$147.4k-255.5k yearly 28d ago

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Principal Data Scientist, Adobe Stock
Adobe Systems Incorporated 4.8
San Jose, CA jobs
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 **************.
$194k-281k yearly 60d+ ago
Data Scientist
Cisco Systems Canada Co 4.8
Milpitas, CA jobs
The application window is expected to close on: Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. The application window is open until further notice. Note: Job posting may be removed earlier if the position is filled or if a sufficient number of applicants are received. Meet the Team The Cisco AI Research team is composed of AI research scientists, data scientists, and network engineers with deep subject matter expertise. This diverse group collaborates on both foundational and applied research projects, driven by the challenge of connecting people and devices at a global scale. The team is newly formed and dynamic, blending AI and networking domain experts who work closely with engineers, product managers, and strategists experienced in AI and distributed systems. Members have the opportunity to shape the culture and direction of this growing team. Your Impact As a Data Scientist you will design and develop methods and systems to consolidate, analyze, and derive insights from large, unstructured data sources. You will partner with product and service teams to identify key questions, develop algorithms and automated processes, and communicate findings to drive business and product enhancements. Design, develop, and program processes and systems for consolidating and analyzing diverse “big data” sources to generate actionable insights. Collaborate with product and service teams to identify analytical questions and conduct experiments. Develop software programs, algorithms, and automated solutions to cleanse, integrate, and evaluate large datasets from multiple sources. Interpret and communicate insights and findings from data analysis and experiments to technical and business stakeholders using strong data visualization skills. Support the deployment of data science models into production and contribute to ongoing feature development and optimization. Minimum Qualifications Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, or related field. 5+ years of experience working with large-scale data analysis or related field (or advanced degree with equivalent experience). Proficiency in at least one programming language such as Python or R. Experience with data cleansing, integration, and statistical analysis techniques. Ability to communicate technical findings clearly to both technical and non-technical stakeholders. Preferred Qualifications Master's or PhD in a relevant field (e.g., Data Science, Computer Science, Statistics). Experience with advanced analytics tools and big data platforms (e.g., Spark, Hadoop). Knowledge of machine learning, natural language processing (NLP), or related advanced science techniques. Proven ability to develop strong data visualizations and present complex data insights effectively. Experience contributing to patent applications, publications, or research projects. Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada:The starting salary range posted for this position is $155,900.00 to $214,100.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next Additional paid time away may be requested to deal with critical or emergency issues for family members Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: .75% of incentive target for each 1% of revenue attainment up to 50% of quota; 1.5% of incentive target for each 1% of attainment between 50% and 75%; 1% of incentive target for each 1% of attainment between 75% and 100%; and Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $155,900.00 - $246,200.00 Non-Metro New York state & Washington state: $149,600.00 - $218,500.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.
$155.9k-246.2k yearly Auto-Apply 4d ago
Principal Data Scientist, Adobe Stock
Adobe 4.8
San Francisco, CA jobs
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 **************.
$194k-281k yearly Auto-Apply 32d ago
Principal Data Scientist, Adobe Stock
Adobe Systems Incorporated 4.8
San Francisco, CA jobs
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 **************.
$194k-281k yearly 60d+ ago
Lead Growth Data Scientist - AI Search
Adobe Systems Incorporated 4.8
San Jose, CA jobs
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 Opportunity and Team AI-powered search (such as ChatGPT, Gemini, and Perplexity) are reshaping how people discover, evaluate, and understand brands. Unlike traditional search channels, these platforms generate synthesized responses, introducing new challenges around brand visibility, accuracy, sentiment, and trust. Within the Growth Marketing & Insights organization, our team strives to develop deep Category & Customer Insights, as well as measure Marketing Efficiency, operating at the intersection of analytics, experimentation, and strategy. We thrive in ambiguity, move quickly through learning loops, and build repeatable, AI-first measurement frameworks that inform growth decisions. We partner closely with Product, GTM, Finance, and Engineering to bring clarity to emerging problem spaces. About the Role We're looking for a Lead Growth Marketing Data Scientist to define and measure success across emerging AI surfaces. This is a highly strategic individual contributor role responsible for inventing the analytics, metrics, and insights that guide growth optimization in a fast-evolving environment. You will work closely with executives and cross-functional partners in a complex, multi-layered organization. You will move teams from intuition to evidence and help compose the organization's overall AI Search approach. What You'll Do * Define and evolve measurement metrics & frameworks for brand presence performance in AI-powered search and answer engines. * Compose exploratory analyses and experiments to drive actions, translating insights into repeatable playbooks through ongoing iterations & feedback. * Develop proxies and heuristics to connect brand visibility and sentiment to business outcomes (e.g., MAU, LTV, GNARR) where direct attribution is not possible * Build scalable scorecards, dashboards, or other creative ways of visualization that enable self-serve access to performance * Set quarterly targets, monitor weekly performance, and deliver actionable insights to senior marketing leaders. * Translate complex findings into clear narratives that influence strategic decisions and the company-wide AI Search strategy and roadmap. * Partner deeply with PMM, GTM, SEO/GEO, Social, PR, and Media teams to align on success metrics, priorities, and tradeoffs. What You'll Need to Succeed * 6 - 10+ years of experience in growth data science, analytics, or applied experimentation * Passionate about AI, consumer trends, brand outcomes, and marketing-led growth * Strong analytical and statistical reasoning, with comfort working from imperfect or incomplete data * Experience crafting experiments or measurement frameworks without a clear ground truth * Strategic attitude with the ability to synthesize insights into action * Proven ability to operate in highly ambiguous, zero-to-one problem spaces as a self-starter * Strong communication and storytelling skills, influencing across a large, matrixed organization Nice to Have * Experience with Search, SEO, recommender systems, or AI/ML-powered products * Background in NLP, sentiment analysis, or brand measurement * Experience defining analytics strategy for emerging or first-of-its-kind initiatives 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 $133,100 -- $236,400 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. In California, the pay range for this position is $163,200 - $236,400 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 **************.
$163.2k-236.4k yearly 15d ago
Lead Growth Data Scientist - AI Search
Adobe 4.8
San Francisco, CA jobs
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 Opportunity and Team AI-powered search (such as ChatGPT, Gemini, and Perplexity) are reshaping how people discover, evaluate, and understand brands. Unlike traditional search channels, these platforms generate synthesized responses, introducing new challenges around brand visibility, accuracy, sentiment, and trust. Within the Growth Marketing & Insights organization, our team strives to develop deep Category & Customer Insights, as well as measure Marketing Efficiency, operating at the intersection of analytics, experimentation, and strategy. We thrive in ambiguity, move quickly through learning loops, and build repeatable, AI-first measurement frameworks that inform growth decisions. We partner closely with Product, GTM, Finance, and Engineering to bring clarity to emerging problem spaces. About the Role We're looking for a Lead Growth Marketing Data Scientist to define and measure success across emerging AI surfaces. This is a highly strategic individual contributor role responsible for inventing the analytics, metrics, and insights that guide growth optimization in a fast-evolving environment. You will work closely with executives and cross-functional partners in a complex, multi-layered organization. You will move teams from intuition to evidence and help compose the organization's overall AI Search approach. What You'll Do Define and evolve measurement metrics & frameworks for brand presence performance in AI-powered search and answer engines. Compose exploratory analyses and experiments to drive actions, translating insights into repeatable playbooks through ongoing iterations & feedback. Develop proxies and heuristics to connect brand visibility and sentiment to business outcomes (e.g., MAU, LTV, GNARR) where direct attribution is not possible Build scalable scorecards, dashboards, or other creative ways of visualization that enable self-serve access to performance Set quarterly targets, monitor weekly performance, and deliver actionable insights to senior marketing leaders. Translate complex findings into clear narratives that influence strategic decisions and the company-wide AI Search strategy and roadmap. Partner deeply with PMM, GTM, SEO/GEO, Social, PR, and Media teams to align on success metrics, priorities, and tradeoffs. What You'll Need to Succeed 6 - 10+ years of experience in growth data science, analytics, or applied experimentation Passionate about AI, consumer trends, brand outcomes, and marketing-led growth Strong analytical and statistical reasoning, with comfort working from imperfect or incomplete data Experience crafting experiments or measurement frameworks without a clear ground truth Strategic attitude with the ability to synthesize insights into action Proven ability to operate in highly ambiguous, zero-to-one problem spaces as a self-starter Strong communication and storytelling skills, influencing across a large, matrixed organization Nice to Have Experience with Search, SEO, recommender systems, or AI/ML-powered products Background in NLP, sentiment analysis, or brand measurement Experience defining analytics strategy for emerging or first-of-its-kind initiatives 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 $133,100 -- $236,400 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.In California, the pay range for this position is $163,200 - $236,400 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 **************.
$163.2k-236.4k yearly Auto-Apply 15d ago
Data Scientist
Adobe Systems Incorporated 4.8
San Jose, CA jobs
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 **************.
$138.6k-200.7k yearly 33d ago
Product Data Scientist, Applied ML
Adobe 4.8
San Jose, CA jobs
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 **************.
$138.6k-200.7k yearly Auto-Apply 32d ago
Data Scientist
Adobe 4.8
San Jose, CA jobs
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 Monetization Growth organization, 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 Conduct sound statistical analysis of user revenue growth programs and A/B experiments to recognize patterns that lead to actionable insights. Identify biases 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 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 in Computer Science, Data Science, Statistics, or a related field of study. Alternatively, a Bachelor's degree with relevant practical experience. Minimum 3 years of experience as a Data Scientist or in a similar role. Experience with hypothesis or A/B test analyses with in-depth understanding of the statistical concepts involved. 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 **************.
$138.6k-200.7k yearly Auto-Apply 18d ago
Product Data Scientist, Applied ML
Adobe Systems Incorporated 4.8
San Jose, CA jobs
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 **************.
$138.6k-200.7k yearly 60d+ ago
Data Scientist, Product Analytics
Meta 4.8
Los Angeles, CA jobs
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:** $177,000/year to $247,000/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.
$177k-247k yearly 60d+ ago
Data Scientist, Product Analytics (PhD)
Meta Platforms, Inc. 4.8
Menlo Park, CA jobs
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 influence and convince upwards, downwards and horizontally to your partners using clear insights and recommendations. You will build credibility through structure, clarity and comprehensiveness, and be a trusted strategic partner. Minimum Qualifications * Currently has or in the process of obtaining Ph.D. in Mathematics, Statistics, a relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta * Experience with data querying languages (e.g., SQL), scripting languages (e.g., Python) or statistical packages (e.g., R) * Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment * 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 Preferred Qualifications * Experience working with distributed computing tools (MapReduce, Hadoop, Hive, etc.) * Experience working with large data sets * Experience manipulating and analyzing high-volume, high-dimensionality data from varying source Responsibilities * Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches. * 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. * Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends. * Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations. * Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
$147k-188k yearly est. 20d ago
Data Scientist
Meta Platforms, Inc. 4.8
Menlo Park, CA jobs
Meta is seeking a skilled and motivated 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 analytical solutions. The ideal candidate will have a passion for 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. Minimum Qualifications * Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience * 6+ years of experience (2 years+ of experience post Ph.D.) with advanced SQL in big data environments (e.g., Hive, Presto, Spark) and data modeling * 6+ years of experience (2 years+ of experience post Ph.D.) managing and analyzing large-scale data using Python, R, or similar languages * 6+ years of experience (2 years+ of experience post Ph.D.) of working with visualization tools such as Tableau, PowerBI, or similar * 6+ years experience (2 years+ of experience post Ph.D.) analyzing and interpreting data, developing metrics, drawing conclusions, recommending actions, and reporting results across stakeholders * Experience in enhancing data collection procedures, data processing, cleansing, and verifying the integrity of data used for analysis * Proven track record of managing and leading cross-functional projects and teams * Solid understanding of machine learning techniques and algorithms * Hands-on programming experience in one or more of: AI/ML, LLM, NLP, Statistical modeling * Proficient in statistical analysis and experimental design Preferred Qualifications * Technical knowledge of data center operations * Masters degree in Computer Science, Engineering, Mathematics, Statistics, Operations Research, or a related analytical field * Knowledge of simulation and optimization techniques * Great communication and storytelling skills to influence all organizational levels (engineers, executives and cross functional teams) to drive business decisions Responsibilities * Collaborate with cross-functional data and business teams to define problems, analyze impacts, identify opportunities, and develop solutions that improve decision-making and efficiency * Translate business challenges into data-driven problems and design appropriate data science solutions, including metrics and analytics, business intelligence, experimentation * Identify operational gaps, build analytical models to derive insights, and support decision-making across organizational leadership * Design and implement statistical models such as hypothesis testing, forecasting, statistical process control, and simulation to influence critical business decisions and Data Center operations * Utilize expertise in statistics, machine learning, optimization, and automation to develop analytics solutions * Work closely with stakeholders, data engineers, and program/product managers to ensure seamless progress * Educate and influence stakeholders to enhance operational efficiency with empathy * Recommend process improvements based on operational data and user behavior to boost business performance * Mentor team members on data science best practices About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
$147k-188k yearly est. 28d ago
Data Scientist
Meta Platforms, Inc. 4.8
Menlo Park, CA jobs
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page. Minimum Qualifications * Master's degree (or foreign degree equivalent) in Software Engineering, Computer Engineering, Computer Science, Analytics, or related field and 8 years of work experience in the job offered or related occupation * Requires 8 years of experience in the following skills: * SQL in big data environments (e.g., Hive, Presto, Spark) and data modeling * Managing and analyzing large-scale data using Python, R, or similar languages * Experience using visualization tools such as Tableau, PowerBI, or similar * Analyzing and interpreting data, developing metrics, drawing conclusions, recommending actions, and reporting results across stakeholders * Experience in enhancing data collection procedures, data processing, cleansing, and verifying the integrity of data used for analysis * Managing and leading cross-functional projects and teams * Experience with machine learning techniques and algorithms * Hands-on programming experience in: AI/ML, LLM, NLP, or Statistical modeling * and Statistical analysis and experimental design Responsibilities * Collaborate with cross-functional data and business teams to define problems, analyze impacts, identify opportunities, and develop solutions that improve decision-making and efficiency. * Translate business challenges into data-driven problems and design appropriate data science solutions, including metrics and analytics, business intelligence, experimentation. * Identify operational gaps, build analytical models to derive insights, and support decision-making across organizational leadership. * Design and implement statistical models such as hypothesis testing, forecasting, statistical process control, and simulation to influence critical business decisions and Data Center operations. * Utilize expertise in statistics, machine learning, optimization, and automation to develop analytics solutions. * Work closely with stakeholders, data engineers, and program/product managers to ensure a seamless progress. * Educate and influence stakeholders to enhance operational efficiency with empathy. * Recommend process improvements based on operational data and user behavior to boost business performance. * Mentor team members on data science best practices. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
$147k-188k yearly est. 6d ago
Data Scientist, Product Analytics
Meta Platforms, Inc. 4.8
San Francisco, CA jobs
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. Minimum Qualifications * 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 * Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent * 2+ years of work experience in analytics and data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) * 2+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights] Preferred Qualifications * Master's or Ph.D. Degree in a quantitative field Responsibilities * Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches * 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 * Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends * Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations * Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
$147k-188k yearly est. 41d ago
Data Scientist, Product Analytics
Meta Platforms, Inc. 4.8
Mountain View, CA jobs
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. Minimum Qualifications * Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience * A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.) * Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience * Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) Preferred Qualifications * Master's or Ph.D. Degree in a quantitative field Responsibilities * Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches * 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 * Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends * Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations * Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
$146k-188k yearly est. 7d ago
Data Scientist
Meta Platforms, Inc. 4.8
Sunnyvale, CA jobs
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page. Minimum Qualifications * Requires Doctorate degree in Statistics, Mathematics, Economics, or a related field * Completion of a graduate level course, research project, or internship involving each of the following: * Performing quantitative analysis including datamining on highly complex data sets * Data querying language(s) including SQL * Scripting language(s) including Python * Statistical or mathematical software including one of the following: R, SAS, or Matlab * Applied statistics or experimentation, such as A/B testing, in an industry setting * Machine learning techniques * ETL(Extract, Transform, Load) processes * Relational databases * Large-scale data processing infrastructures using distributed systems and * Quantitative analysis techniques, including one of the following: clustering, regression, patternr ecognition, or descriptive and inferential statistics Responsibilities * Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our consumer and business products. * Partner with Product and Engineering teams to solve problems and identify trends and opportunities. * Inform, influence, support, and execute our product decisions and product launches. * Forecast and set product team goals. * Design and evaluate experiments. * Monitor key product metrics, understand root causes of changes in metrics. * Build and analyze dashboards and reports. * Build key data sets to empower operational and exploratory analysis. * Evaluate and define metrics. * Propose what-to-build in the next roadmap. * Understand ecosystems, user behaviors, and long-term trends. * Identify new levers to help move key metrics. * Build models of user behaviors for analysis or to power production systems. * Influence product teams through the presentation of data-based recommendations. * Communicate state of business and experiment results to product teams. * Spread best practices to analytics and product teams. * Work in Hadoop, Hive, MySQL, Oracle, and Vertica. * Automate analyses and author pipelines via SQL and Python-based ETL framework. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
$146k-188k yearly est. 11d ago
Data Scientist, Product Analytics
Meta Platforms, Inc. 4.8
Sunnyvale, CA jobs
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. Minimum Qualifications * 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 * Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent * 2+ years of work experience in analytics and data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) * 2+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights] Preferred Qualifications * Master's or Ph.D. Degree in a quantitative field Responsibilities * Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches * 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 * Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends * Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations * Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
$146k-188k yearly est. 41d ago
Data Scientist, Product Analytics
Meta 4.8
Sunnyvale, CA jobs
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. 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 7. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent 8. 2+ years of work experience in analytics and data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) 9. 2+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights] **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $119,000/year to $173,000/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.
$119k-173k yearly 60d+ ago

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