388 Data Science jobs in Santa Clara
Data Science Intern
Posted 3 days ago
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Job Description
Moloco is a machine learning company empowering organizations of all sizes to grow and unlock the full value of their unique first-party data, elevating the traditional path to performance advertising. While the largest technology companies have proven the speed and scale of ad targeting using data, that same robust performance powered by machine learning has previously been unavailable beyond their platforms.
That's where Moloco steps in. With Moloco's powerful combination of cutting-edge machine learning technologies, we play a unique and visible role in shaping the digital economy, all while enabling companies to stay independent and scale.
An industry leader at the nexus of machine learning, performance marketing, and visionary product infrastructure, Moloco is advancing the advertising technology industry. We ranked in the top 10% of the Inc. 5000 fastest-growing private companies for 2023. We were recognized as one of 46 leading Cloud Computing companies, receiving the Stratus Award for 2023. That same year, we also received Google's Cloud DevOps Dreamers Award, given to companies implementing DevOps practices to drive organizational success and high performance. Lastly, Moloco is a 2024-certified Great Place to Work!
Moloco is headquartered in Silicon Valley, with offices in San Francisco, New York, Los Angeles, Seattle, London, Berlin, Seoul, Singapore, Beijing, Gurgaon, Bangalore, Tel Aviv, and Tokyo.
Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to carry out our mission, to empower businesses of all sizes to grow through operational machine learning.
Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!
The Impact You'll Be Contributing to Moloco:
Data Science and Analytics (DSA) is the global team of Data Scientists and Analysts. As a Data Science Intern in DSA, you will drive performance improvement and cost efficiency in our product through a deep understanding of the ML and infra system, and provide a data driven insight and scientific solution.
Some examples of past intern projects are:
- Work on and improve various components of our ad-tech stack including ranking, retrieval, auction/bidding and budget pacing.
- Conduct deep-dive analysis to influence R&D decisions and strategies: analyze a large dataset with queries and scripts, extract valuable signals out of noise, and produce actionable insights into how we could optimize Moloco's complex bidding system.
- Design and deploy advanced optimization approaches to improve our ad-delivery: identifying the best ranking, retrieval and bidding strategies that strike the right balance between ROI and revenue trade-offs.
- Validating and quantifying the efficiency and performance gain from hypotheses through rigorous simulation and modeling.
- Developing a robust experiment design and metric framework, and providing reliable and unbiased insights for product and business decision making.
- Stay up-to-date with the latest researches and developments in experimentation and causal inference, and identify opportunities of applying these techniques to business challenges
- Able and willing to work from our Redwood City, CA. office.
- Must be able to work full-time (40-hours per week) for 12-weeks during the summer of 2026 (May - September).
- Currently enrolled in a Bachelor's, Master's or PhD program in a technical or quantitative discipline.
- Candidates pursuing a Bachelor's or Master's degree must be graduating and obtaining the degree by June of 2027.
- Ability to manage multiple projects at the same time while paying attention to detail and translate analysis results into business recommendations.
- Ability to work independently, owning projects end-to-end, solving problems without much guidance.
Moloco Thrive: Benefits and Well-Being:
We take care of you and create the conditions for you to do the best work of your career. Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives.
Moloco Values:
- Lead with Humility: Everyone's voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success.
- Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what's possible.
- Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value.
- Go Further Together: We're one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won't let each other fail.
- Moloco Company Blog
- Moloco Leadership
- Moloco Newsroom
Equal Opportunity:
Moloco is an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military and veteran status, or any other characteristic protected by law.
Candidate Privacy Notice:
Your privacy matters to us. By applying, you acknowledge that you've reviewed our Candidate Privacy Notice.
Data Science Engineer
Posted 4 days ago
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Job Description
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
The Adobe Genuine Service team is focused on developing strategies and products to prevent and recover users who abuse Adobe licenses. As a Data Scientist on this team, you'll transform data into stories and decisions that move the business. You'll steer a weekly business review, partner closely with digital sales, product and engineering, and bring rigor to how we measure and optimize our anti-piracy and compliance efforts by spotting trends, sizing opportunities, and enabling insights that drive outcomes.
What you'll Do
- Apply expertise in quantitative analysis, data science, data modeling to understand and provide deep insights on customer behavior, non-genuine patterns and improve user journey impacting customer engagement, conversion and retention
- Use insights and data to inform strategies across business teams
- Monitor weekly business, carry out detailed data investigations to grasp underlying reasons for shifts in metrics and offer recommendations on forecasts
- Partner with our Data Engineering and business teams to build a robust data strategy for self-service and quicker turnaround time
- Work with our campaign experience teams to build better A/B tests and provide statistical guidance
- Highlight and interpret disparate quantitative data and provide craft a clear data story within the business context to help drive next steps
- Own the Outcome: You take accountability for the data, the narrative, and the follow-through
- Create the Future: You anticipate scaling needs (e.g., new abuses, pre-incident campaigns) and build durable measurement.
- Be Genuine: You communicate clearly, partner well across organizations, and center the customer in trade-offs
- Master's in computer science, Data Science, Information management, Business Analytics or similar degree preferred
- 3+ years of hands-on experience doing data analysis, statistical modeling and quantitative analysis
- 2+ years of proficiency in Python, SQL, Spark
- Proficiency in leveraging Large Language Models (LLMs) and AI-driven tools to enhance data analysis, automate workflows, and generate insights
- Strong fundamentals in statistical analysis focusing on testing frameworks
- Ability to support multiple ongoing projects in a fast-paced environment
- Strong background in working across business teams, providing data-driven stories and have a problem-solving approach
- Excellent communication and relationship-building skills to guide, lead and mentor other team members
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $109,000 -- $192,400 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
State-Specific Notices:
California:
Fair Chance Ordinances
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.
Colorado:
Application Window Notice
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
Massachusetts:
Massachusetts Legal Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.
Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email or call .
Data Science Lead
Posted 5 days ago
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Job Description
Data Science Lead
Description -
Job Summary
• This role is responsible for overseeing a team of machine learning engineers and data scientists, guiding the development of machine learning models, and aligning them with business goals. The Data Science Lead designs and builds robust models to support business decisions and strategies. The role triages new AI/ML use cases and formulates a plan for delivery. The role communicates technical development progress, challenges, and outcomes to stakeholders and senior management. The role provides technical guidance and mentorship to team members and fosters a culture of continuous professional growth.
Responsibilities
• Provides direct and ongoing leadership for a team of individual contributors that design, deploy, maintain and monitor machine learning models, pipelines, and systems.
• Collaborates with business stakeholders to understand use cases, user experience requirements, and goals. Then establishes development plans commensurate with these requirements.
• Oversees end-to-end machine learning model lifecycle, from data collection and preprocessing to model selection and optimization, to deployment and ongoing maintenance.
• Drives the selection and application of appropriate machine learning algorithms, techniques, tools, and CI/CD pipelines.
• Manages headcount, deliverables, schedules, and costs for multiple ongoing products, ensuring that resources are appropriately allocated, and that goals, objectives, timelines, and budgets are met in accordance with program and organizational roadmaps.
• Communicates technical development status and escalates issues to direct managers, program managers, and internal and external development partners.
• Manages relationships with internal and external partners, including setting expectations regarding deliverables, product quality, schedules, and costs; ensures that team members are effectively communicating and collaborating.
• Regularly evaluates and considers new applications, use cases, and proofs of concept to keep the organization at the forefront of AI and ML technology.
• Provides people-care management for assigned team members, including hiring, setting and monitoring of annual performance plans, coaching, and career development.
• Ensures that proper knowledge and career development tools are in place to support ongoing team member and process development.
Education & Experience Recommended
• Four-year or Graduate Degree in Computer Science, Statistics, Mathematics, Data Science, or any other related discipline or commensurate work experience or demonstrated competence.
• Typically has 7-10 years of job-related experience or 5-7 years of management experience, preferably in computer programming languages, machine learning, algorithms, statistical methods, or a related field.
Preferred Experience
• Developing Generative AI solutions
• Experience deploying Deep Learning Neural Network Models
Knowledge & Skills
• Agile Methodology
• Algorithms
• Generative Pretrained Transformers
• Apache Spark
• Artificial Intelligence
• Automation
• Reinforcement Learning
• Computer Science
• Data Science
• Deep Learning
• Machine Learning
• Microsoft Azure
• Natural Language Processing
• Python (Programming Language)
• PyTorch (Machine Learning Library)
• Scikit-learn (Machine Learning Library)
• Software Engineering
• TensorFlow
Cross-Org Skills
• Customer Centricity
• Prioritization
• Resilience
• Team Management
• Strategic Thinking
Impact & Scope
• Impacts function and leads projects requiring understanding of multiple disciplines or areas of HP.
Complexity
• Uses managerial concepts and company objectives to resolve issues in creative and effective ways.
Disclaimer
• This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.
Job -
Software
Schedule -
Full time
Shift -
Shift 1, 0% premium (United States of America)
Travel -
25%
Relocation -
No
Equal Opportunity Employer (EEO) -
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
If you'd like more information about HP's EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law - Supplement
Data Science Analyst:
Posted 5 days ago
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Primary Skills: Hive/SQL (Expert), Databricks (Proficient), Tableau/PowerBI (Expert), A/B Testing (Advanced), Data Stitching (Advanced) Contract Type: W2 only Duration: 6+ Months with Possible Extension Location: San Jose, CA (#LI-Hybrid) Pay Range: $58 - $63 per hour. on W2 Job Summary: We are seeking a Data Science Analyst local to SJ who will drive significant improvements in customer engagement and revenue through analytics, insights, and collaboration with cross-functional teams. The ideal candidate will expertly stitch and calibrate data from diverse sources to inform strategic decisions, and build self-serving reporting frameworks to empower our partners. This role demands a dynamic individual who can analyze large datasets, conduct A/B testing, and develop comprehensive dashboards and reports. Key Responsibilities: Conduct in-depth analytics to drive revenue and engagement programs, including A/B test analyses. Collaborate with product managers to derive actionable insights from customer behavior and product usage. Expertly manage data from various sources, ensuring quality and accessibility. Respond to ad-hoc data requests and support understanding of customer behavior. Develop and maintain reporting frameworks that allow for self-serve access to key data metrics. Must-Have Skills: Proficiency in Hive/SQL and familiarity with Databricks. Strong experience in creating detailed reports and dashboards using Tableau or PowerBI. Solid track record in hypothesis testing and analytics for A/B testing. Industry Experience: Prior experience in data science or analytics within a product-driven environment is preferred. ABOUT AKRAYA Akraya is an award-winning IT staffing firm consistently recognized for our commitment to excellence and a thriving work environment. Most recently, we were recognized Inc's Best Workplaces 2024 and Silicon Valley's Best Places to Work by the San Francisco Business Journal (2024) and Glassdoor's Best Places to Work (2023 & 2022)! Industry Leaders in IT Staffing As staffing solutions providers for Fortune 100 companies, Akraya's industry recognitions solidify our leadership position in the IT staffing space. We don't just connect you with great jobs, we connect you with a workplace that inspires! Join Akraya Today! Let us lead you to your dream career and experience the Akraya difference. Browse our open positions and join our team!
Data Science Manager
Posted 1 day ago
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Job Description
We are seeking experienced Managers of Data Science to lead Data Science teams that drive strategic insights, operational support and data foundations across multiple domains that merge AI solutions (e.g., AI Agents, LLM-generated labels for model training and evals, LLM-based content moderation) and Human-provided solutions (e.g., Customer Support Agents, Human-generated labels for training and evals, and Human-driven content moderation). In this role, you will be responsible for developing and executing a data strategy for evaluating model and human performance against incoming requirements, inclusive of quality, speed, and cost dimensions. You'll be critical to driving customer satisfaction, protecting voice, reducing harm, retaining millions of users and billions in revenue, and driving down operational costs. You will work closely with cross-functional teams to identify opportunities, design experiments, and help develop AI and automation solutions.
**Required Skills:**
Data Science Manager Responsibilities:
1. Labeling spend management: Inform and drive multi-billion spend management and optimizations
2. develop and execute a comprehensive data science strategy that aligns with the organization's overall goals and objectives
3. Labeling delivery performance: Inform and drive labeling performance improvements and optimizations in an evolving mix of AI-generated labels and Human-generated labels
4. Customer support performance: Inform and drive customer support performance improvements and optimizations in an evolving mix of AI Agents and Human Agents
5. develop and execute a comprehensive data science strategy for evolving the role of AI and human experts in providing industry leading customer support
6. High Data Science Bar: Grow and manage a high-performing Data Science team that remains agile and impactful under a high degree of uncertainty during technological transformations
7. Collaboration: Collaborate closely with Directors and VP level stakeholders in a highly-matrixed organization dynamics
**Minimum Qualifications:**
Minimum Qualifications:
8. BS degree in a quantitative discipline (e.g., statistics, operations research, econometrics, computer science, engineering), or BS/MS in a quantitative discipline with equivalent working experience
9. A minimum of 7 years of work experience (3+ years with a Ph.D.) in applied quantitative field, including + years of experience managing analytics teams
10. 7+ years of experience in a team leadership role, including 2+ years of experience with people management through layers
11. Experience communicating both in low-level technical details as well as high-level strategies
12. Experience in cross-functional partnership among teams of Engineering, Design, Product Management, Data Engineering
13. Experience with driving product roadmap and execution
**Preferred Qualifications:**
Preferred Qualifications:
14. Expertise in AI Agentic solutions, LLM performance and evals
15. Interest in an ecosystem role that will encompass a well-defined but broad set of initiatives (e.g., budget management, operational efficiency, and customer support performance)
16. Communication skills in VP-level leadership forums
**Public Compensation:**
$206,000/year to $281,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
Leader, Data Science
Posted 1 day ago
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Job Description
Apply ( Location:RTP, North Carolina, US
+ Alternate LocationSan Jose, CA Internal Only, Atlanta, GA
+ Area of InterestFinance
+ Compensation Range USD - USD
+ Job TypeProfessional
+ Technology InterestAI or Artificial Intelligence, Big Data, Analytics
+ Job Id
Members of the Finance organization at select locations will generally be expected to follow a hybrid work model, which includes two days of in-office attendance each week, with limited exceptions.
The application window is expected to close on: 10/17/2025.
Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.
**Meet the Team**
Join the Data & Systems Architecture team within Global Procurement Services (GPS), where we design scalable data architecture, build trusted data ecosystems, and implement advanced analytics solutions. Collaborating with cross-functional teams, we deliver insights that enhance decision-making, improve procurement efficiency, and ensure data accuracy. At GPS, we prioritize innovation, teamwork, and excellence, fostering an inclusive environment that supports growth and success.
**Your Impact**
As a Leader, Data Science on the GPS Data & Systems Architecture team, you will lead the development of scalable data platforms and trusted data ecosystems that power strategic decision-making across procurement operations. You'll architect modern data infrastructure, establish data standards, and oversee the deployment of AI-enabled solutions that unlock insights and automation across the enterprise.
**You will:**
Lead the design and implementation of robust, secure, and scalable data infrastructure for procurement analytics
Build end-to-end pipelines and data products to support reporting, forecasting, and AI-powered insights
Guide high-level strategy and hands-on execution for data quality, governance, and compliance
Collaborate with business and engineering partners to align data architecture with enterprise needs
Support the integration of machine learning models and AI tools for use cases like supplier risk, spend forecasting, and process automation
Promote adoption of cloud-native data tools, reusable frameworks, and enterprise-wide best practices
Mentor and grow a high-performing team of data scientists and analysts, fostering development and alignment with business priorities
Communicate technical concepts clearly to executive stakeholders and drive alignment across technical and business teams
Champion a culture of innovation, experimentation, and ownership within the team
**Minimum Qualifications**
+ **Experience** : 15+ years in data infrastructure, analytics engineering, or data architecture roles, preferably within large enterprise environments
+ **Data Architecture & Engineering:** Hands-on expertise with MPP databases (e.g., Snowflake, Redshift, BigQuery), cloud platforms (AWS, Azure, GCP), and scalable data pipelines
+ **Programming & Modeling** : Advanced proficiency in Python and SQL with experience developing analytical models (e.g., regression, time-series, neural networks)
+ **BI & Visualization:** Strong command of tools such as Power BI, AI Analytics tools with proven ability to build data products for broad business consumption
+ **Leadership** : At least 6 + years of experience managing or leading technical teams, with the ability to mentor talent and drive results through collaboration
+ **Governance & Compliance** : Deep understanding of data governance practices, including security, privacy, and lifecycle management
+ **AI/ML Engineering:** Experience integrating AI/ML solutions into production workflows, including foundation models or LLM-based tools
**Preferred Qualifications**
+ Familiarity with unstructured data systems (e.g., MongoDB, Elasticsearch) and vector databases
+ Prior experience supporting procurement, supply chain, or finance domains through data and analytics
+ Master's degree in computer science, Data Engineering, or a related quantitative field
+ Passion for driving innovation, operational efficiency, and continuous improvement using data
+ Knowledge of enterprise systems and financial planning tools.
#WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all.
Our passion is connection-we celebrate our employees' diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best.
We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer-80 hours each year-allows us to give back to causes we are passionate about, and nearly 86% do!
Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us!
**Message to applicants applying to work in the U.S. and/or Canada:**
When available, the salary range posted for this position reflects the projected hiring range for new hire, full-time salaries in U.S. and/or Canada locations, not including equity or benefits. For non-sales roles the hiring ranges reflect base salary only; employees are also eligible to receive annual bonuses. Hiring ranges for sales positions include base and incentive compensation target. Individual pay is determined by the candidate's hiring location and additional factors, including but not limited to skillset, experience, and relevant education, certifications, or training. Applicants may not be eligible for the full salary range based on their U.S. or Canada hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process.
U.S. employees haveaccess ( to quality medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, short and long-term disability coverage, basic life insurance and numerous wellbeing offerings.
Employees receive up to twelve paid holidays per calendar year, which includes one floating holiday (for non-exempt employees), plus a day off for their birthday. Non-Exempt new hires accrue up to 16 days of vacation time off each year, at a rate of 4.92 hours per pay period. Exempt new hires participate in Cisco's flexible Vacation Time Off policy, which does not place a defined limit on how much vacation time eligible employees may use, but is subject to availability and some business limitations. All new hires are eligible for Sick Time Off subject to Cisco's Sick Time Off Policy and will have eighty (80) hours of sick time off provided on their hire date and on January 1st of each year thereafter. Up to 80 hours of unused sick time will be carried forward from one calendar year to the next such that the maximum number of sick time hours an employee may have available is 160 hours. Employees in Illinois have a unique time off program designed specifically with local requirements in mind. All employees also have access to paid time away to deal with critical or emergency issues. We offer additional paid time to volunteer and give back to the community.
Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components. 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 up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.
Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.
Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.
Data Science Director
Posted 17 days ago
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Job Description
We're looking for a seasoned analytics leader to drive data-informed decisions for Meta. You will play a critical role in helping Meta build the platforms of the future. You will partner with the product and business teams that build and grow our infrastructure for the future of Meta. You will be focused on results, be proactive, deliver rigorous analyses, and use data to drive change in products, strategies, and organizations.About the role:People leadership: You will inspire, lead and grow a world-class team.Product leadership: You will use data to shape 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 broad 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 Science Director Responsibilities:
1. Inspire, lead and grow a distributed team of data scientists and data science leaders across North America
2. Apply your expertise in quantitative analysis, data mining, and the presentation of data in developing data-informed strategies for growing and improving our product offerings.
3. Contribute to long-term technical vision and strategy methods and metrics that will improve the quality and efficiency of our products at scale.
4. Lead development and communication of product area insights and recommended action items with Meta Analytics leadership.
**Minimum Qualifications:**
Minimum Qualifications:
5. 10+ years of work experience managing analytics teams, working collaboratively with Product and Infrastructure teams, and guiding data-influenced product and business planning, prioritization and strategy development.
6. Demonstrated experience in hiring, retaining and scaling geographically dispersed, high-performing teams with a broad range of experiences, perspectives, approaches, and backgrounds
7. Proven experience influencing strategy and driving change across org boundaries through clear and compelling communication of data-driven insights and analyses.
8. Intellectual curiosity, drive, and decisiveness with ambiguous and complex enviornments.
9. Experience working effectively with multiple stakeholders and cross-functionally.
10. Effective communication skills.
**Preferred Qualifications:**
Preferred Qualifications:
11. Experience with both product and business analytics work and demonstrated to deliver an integrated approach.
**Public Compensation:**
$253,000/year to $314,000/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
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Data Science Intern
Posted today
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Data Science Engineering Analyst
Posted today
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Job Description:
- The Data Science Engineering Analyst will play a pivotal role in analysing complex datasets, designing and implementing predictive models, and deriving actionable insights to drive business decisions. This position requires a combination of data engineering skills and data science expertise to ensure robust data pipelines and effective analytical solutions.
Responsibilities:
-
Apply advanced statistical methods to large complex data sets to understand impact of abuse to the client ecosystem. Contribute strategy and development of new workflows against additional known vectors of abuse.
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Learn complex and technical concepts and systems and deliver meaningful results using them. Communicate highly technical results and methods clearly.
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Maintain, foster and promote quality by providing regular feedback metrics to the Global team. Manage technological solutions for streamlining quality assurance and produce scalable training solutions to emergent workflows.
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Perform deceptive/manipulated content and generative AI investigations using various data sources, identify product vulnerabilities and drive anti-abuse experiments to prevent abuse. Work with engineers and interact cross-functionally with stakeholders to improve workflows via process improvements, automation and anti-abuse system creation.
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Develop high quality training materials, create consensus and maintain communication for client with business stakeholders.
Experience:
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3 years of experience in data management, metrics analysis, experiment design and automation.
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Experience with classification systems, ranking systems, or similar.
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Experience collecting, managing, and synthesizing large data sets and information from disparate sources, statistical modelling, data mining and data analysis.
US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit ( .
US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Senior Director, Data Science
Posted 4 days ago
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Job Description
**What you'll do.**
Walmart is seeking a **Sr. Director of Data Science - Fraud & Risk** to lead data science efforts that protect our end-to-end retail and marketplace ecosystem. In this high-impact leadership role, you will oversee teams building models to detect, prevent, and mitigate fraud and risk across buyer, seller, store, and delivery partner flows-supporting billions of transactions across both digital and physical channels. You'll drive strategy, experimentation, and large-scale deployment of ML solutions that ensure a secure and seamless customer experience while minimizing financial and reputational exposure. This role is ideal for a strategic leader with deep technical roots, strong people leadership, and a proven ability to convert ML innovation into measurable business outcomes. **Key Responsibilities**
+ Lead and scale a high-performing data science team focused on fraud and risk model development across e-commerce, in-store, marketplace, and last-mile logistics domains.
+ Own the full lifecycle of fraud detection models: problem framing, data ingestion, feature engineering, model training, evaluation, deployment, and continuous monitoring.
+ Establish a scalable infrastructure for real-time and batch scoring, including champion/challenger testing, feature drift detection, and shadow deployment pipelines.
+ Advance cutting-edge ML research in areas such as graph-based identity resolution, semi-supervised learning, foundation models for behavioral risk, and adversarial detection.
+ Establish rigorous model governance: performance monitoring dashboards, data quality checks, bias mitigation, and compliance audits.
+ Foster an innovation-driven culture-encouraging rapid prototyping, peer-reviewed experimentation, and contributions to open source and academic publications.
+ Translate ML outputs into actionable risk decisions and operational interventions that drive measurable improvement in fraud loss, false positive rate, payment declines, and customer trust.
+ Collaborate closely with stakeholders in Product, Engineering, Risk Operations, Legal, and Compliance to embed intelligence into checkout, returns, seller onboarding, driver flows, and more.
+ Contribute to executive planning by communicating results, risks, and opportunities with clarity and strategic framing.
+ Champion best practices in scientific rigor, model governance, responsible AI, and high-velocity delivery.
**What You Bring**
+ **Experience** : 10+ years in data science or applied ML, with 5+ years leading teams working on risk, fraud, or trust & safety in high-scale environments (e.g., marketplaces, fintech, e-commerce).
+ **Technical Expertise** : Proven hands-on experience with ML techniques including supervised learning, anomaly detection, graph neural networks, embeddings, and real-time decisioning systems.
+ Track record of deploying production-grade models using modern ML infrastructure (e.g., feature stores, real-time scoring, batch pipelines, monitoring/alerting frameworks).
+ Demonstrated ability to drive research-to-production innovation-owning both technical strategy and business impact.
+ Strong leadership and mentorship experience, with a history of growing high-performing data science teams and shaping inclusive, collaborative cultures.
+ Excellent communication skills with the ability to present scientific findings and product impact clearly to executives and cross-functional partners.
+ Bonus: Publications, open-source contributions, or patents in ML, fraud detection, or related fields.
At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
br> r>You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.
r>For information about PTO, see .
r> r>Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
r>Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
r>For information about benefits and eligibility, see One.Walmart ( .
r>The annual salary range for this position is $208,000.00-$416,000.00
r>Additional compensation includes annual or quarterly performance bonuses.
r>Additional compensation for certain positions may also include:
r> r>- Stock
r> r>**Minimum Qualifications.**
_Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications._
Option 1: Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 7
years' experience in an analytics related field. Option 2: Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science,
Information Technology or related field and 5 years' experience in an analytics related field. Option 3: 9 years' experience in an analytics or related
field.
3 years' supervisory experience.
**Preferred Qualifications.**
_Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications._
Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture.
**Primary Location.**
860 W California Avenue, Sunnyvale, CA , United States of America
Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.
Walmart, Inc. is an Equal Opportunity Employer- By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, abilities, ideas and opinions- while being inclusive of all people.