Data science internship jobs in Salinas, CA - 219 jobs

Job Title: Data Analyst - CRM / Salesforce 🏢 Company: Aaratech Inc 🛑 Eligibility: Only U.S. Citizens and Green Card holders are eligible. Please note that we do not offer visa sponsorship. Aaratech Inc. is seeking a highly analytical and detail-driven Data Analyst - CRM / Salesforce to join our growing team. The ideal candidate will analyze customer and sales data to improve business performance and customer engagement. Key Responsibilities: 🔹 Data Collection & Management Gather, clean, and manage CRM and Salesforce datasets. Ensure data accuracy and consistency across systems. 🔹 Data Analysis Analyze sales pipelines, customer engagement, and performance metrics. Support forecasting and business planning. 🔹 Reporting & Visualization Develop dashboards and reports using Salesforce, Tableau, or Power BI. Present insights to sales and marketing stakeholders. 🔹 Team Collaboration Collaborate with sales, marketing, and business teams to deliver analytics solutions. 🔹 Tool Utilization Use SQL, Excel, Salesforce reports, and BI tools for analysis. 🔹 Data Governance Maintain CRM data quality and governance standards. Qualifications: ✅ Bachelor's degree in Data Science, Statistics, Computer Science, or a related field ✅ Minimum of 2 years of experience in data analysis ✅ Proficiency in SQL and Microsoft Excel ✅ Experience with Tableau, Power BI, or Salesforce reporting ✅ Strong analytical and communication skills

Team Introduction: TikTok-Data Science Team is responsible for all data science and analytics related work, cooperating with all key value chains in TikTok, including User Growth, PGC, Content Ecosystem, Social, Creation, Product Infrastructure, Research and Science etc. The goal of the team is to generate actionable insights from data and help the stakeholders to make the right decisions. Our main tasks include metrics defining, root cause analysis, experimentation methodology, feature/strategy evaluation and exploratory analysis to find more opportunities. Internships at TikTok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. It runs for 12 weeks. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible. Please state your availability clearly in your resume (Start date, End date). Successful candidates must be able to commit to one of the following summer internship start dates below: * May 11th, 2026 * May 18th, 2026 * May 26th, 2026 * June 8th, 2026 * June 22nd, 2026 We will prioritize candidates who are able to commit to these start dates. Please state your availability clearly in your resume (Start date, End date). Responsibilities: * Define success metrics to measure product growth and identify problems through monitoring or forecasting * Apply technical expertise with quantitative analysis, experimentation, data mining to develop strategies for product optimizations * Quantify the impact of strategies through causal inference and generate actionable insights through deep dive analysis * Partner with Product, Engineering and cross-functional teams to influence and execute product strategy Minimum Qualifications: * Currently pursuing a PhD in Mathematics, Statistics, Economics, Computer Science, Data Science etc relevant technical field, or equivalent practical experience * Proficient in data querying languages and at least one scripting language (e.g. Python,R) * Experience in one or more of the following methods: forecasting, statistical and causal inference, classification methods. * Strong product sense and structured thinking, and be able to convert the analysis results into business decisions very well Preferred Qualifications: * Internship experience in data science

About ByteDance Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content. Why Join Us Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day. As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us. About the Team Our team plays a crucial role in ensuring the company's success. We seek people who are willing to learn and put in the effort to solve problems. Our challenges are not your regular day-to-day problems - you'll be part of a team that's developing new solutions to new challenges. It's working fast, at scale, and we're making a difference. We are looking for talents to join us on this exciting journey! Responsibilities Own and conduct data analysis related to live streaming and real-time communication (RTC) products. Ensure data quality by monitoring event tracking quality, participating in event tracking design reviews, and collaborating with the data engineering team. Build efficient data ETL processes and maintain data SLAs. Develop and maintain a comprehensive live streaming and RTC-related metrics system, including defining indicators, building dashboards, ensuring stability and availability, and conducting root cause analysis for metrics. Perform data analysis based on business requirements, support data analysis for special projects, and provide ongoing data analysis support. Support A/B testing initiatives by optimizing A/B testing processes, producing Libra indicators, providing attribution analysis, and generating A/B testing conclusions and reports. Drive business growth by identifying data optimization opportunities, providing optimization suggestions, and delivering tangible benefits. Develop and refine optimization methodologies over time. Collaborate with cross-functional teams, such as Product Management, Research and Development, and Technical Support, to identify and resolve online issues. Qualifications Must have a Master's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Statistics (any), Analytics, Data Science, Mathematics, or a related field, and 2 years of related work experience; OR a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Statistics (any), Analytics, Data Science, Mathematics, or a related field, and 5 years of post-bachelor's, progressive related work experience. Of the required experience, must have 2 years of experience in each of the following: Mining, preparing, cleansing, and analyzing structured data using statistical computing languages SQL, Python, and/or R for metrics creation, root cause analysis, and model preprocessing; Using SQL queries and data visualization tools to gather, process, visualize, and analyze large quantities of data to detect trends and anomalies in support of business opportunity identification; Analyzing large quantities of data to detect anomalies using Python and statistical analysis techniques; Developing and maintaining tables, views, indexes, datasets, and/or data pipelines to extract, clean, transform, load and maintain data across multiple databases; and Providing data-driven insights and recommendations to mitigate insufficiencies models based on model performance, regulations, or business requirements. Travel Requirement: International travel required up to 10%. Type: Full time, 40 hours/week Location: San Jose, CA Salary Range: $275850 - $395280 per year To Apply, click the apply button below. Contact *********************** if you have difficulty submitting resume through the website. ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too. ByteDance is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at ****************************** #IND-DNI

Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens. Applications are accepted until further notice. **Meet the Team** Work on extensive structured, unstructured, transactional and real-time data sets from a variety of sources to analyze customer usage patterns and provide actionable, intuitive, impactful insights using metrics, algorithms, and statistics. **Your Impact** + Acquire, clean and structure data from various sources and maintain databases/data systems + Identify, analyze, and interpret trends or patterns in complex data sets + Develop, prototype and test predictive algorithms + Filter and "clean" data, and review computer reports, printouts, and performance indicators to locate and correct code problems + Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality + Interpret data, analyze results using statistical techniques and provide ongoing reports **Minimum Qualifications** + Completion within the past 3 years, or current enrollment with expected completion within 12 months, of a certification or degree program (e.g., Associates, Apprenticeship, Boot Camp, or Certification in a specialized program + 3 years of relevant experience, High School Diploma + 4 years of relevant experience, Bachelors + 2 years of relevant experience) or Masters + 0 years of relevant experience. Relevant fields include: Engineering, Computer Science, Data Science, Statistics, or equivalent. + Proficiency in data manipulation tools (SQL, Hadoop, etc.), programming languages (R, Python, XML, JavaScript, or ETL), and solid understanding of reporting packages (e.g., Business Objects) and statistical packages for data analysis (Excel, SPSS, SAS, etc.). + Technical knowledge in data models, database design, data mining, and segmentation techniques, with proficiency in writing queries, report writing, and presenting findings. **Preferred Qualifications** + Experience with Oracle databases + Familiarity with advanced machine learning techniques, neural networks, and deep learning frameworks like TensorFlow or PyTorch + Expertise in analyzing time-series data and forecasting + Familiarity with software development methodologies + Strong presentation and storytelling skills to effectively communicate findings to technical and non-technical audiences . **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:** 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: $135,300.00 - $197,400.00 Non-Metro New York state & Washington state: $120,600.00 - $175,600.00 * 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. 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.

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! 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 The Adobe Data Science team is looking for summer interns. The team applies AI and machine learning techniques to big customer data to address and challenge business problems, such as driving go-to-market strategies, sales prioritization, increasing product engagement and customer service improvement. All 2026 Adobe interns will be co-located hybrid. This means that interns will work between their assigned office and home. Interns will be based in the office where their manager and/or team are located, where they will get the most support to ensure collaboration and the best employee experience. Managers and their organization will determine the frequency they need to go into the office to meet priorities. What You'll Do Extract and analyze data to understand the customer product life cycle and value realization from the product Identify and report product features of high and low usage Develop dashboards/reports that provide useful insights to business leaders Develop scripts to automate data extraction from product databases Develop in-house analytical tools that improve the productivity and efficiency of analytical tasks What You Need to Succeed Currently enrolled full-time in a Master's or PhD program in Computer Science, Electrical/Computer Engineering, Statistics, or a related quantitative field, with an expected graduation date between December 2026 - June 2027. Strong foundation in mathematics and statistics (e.g., linear algebra, probability, optimization, statistical inference). Proficiency in Python for data science and machine learning, with experience using frameworks such as PyTorch, TensorFlow, or JAX. Solid working knowledge of SQL for data extraction, preparation, and validation. Familiarity with advanced ML/AI techniques such as deep learning, transformers/LLMs, graph neural networks, or causal inference. Ability to design and conduct experiments, analyze results, and translate findings into practical, scalable solutions. Strong problem-solving mindset and curiosity to explore novel approaches to real-world challenges. Ability to participate in a full-time internship between May-September. 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 $45.00 -- $61.00 hourly. Your recruiter can share more about the specific pay rate for your job location during the hiring process. 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 **************.

Job Title: AI Data Center Operations Contractor Office Location: San Jose, CA Job Type: Contract (6 - 12 months) Work Model: Onsite At SK hynix America, we're at the forefront of semiconductor innovation, developing advanced memory solutions that power everything from smartphones to data centers. As a global leader in DRAM and NAND flash technologies, we drive the evolution of advancing mobile technology, empowering cloud computing, and pioneering future technologies. Our cutting-edge memory technologies are essential in today's most advanced electronic devices and IT infrastructure, enabling enhanced performance and user experiences across the digital landscape. We're looking for innovative minds to join our mission of shaping the future of technology. At SK hynix America, you'll be part of a team that's pioneering breakthrough memory solutions while maintaining a strong commitment to sustainability. We're not just adapting to technological change - we're driving it, with significant investments in artificial intelligence, machine learning, and eco-friendly solutions and operational practices. As we continue to expand our market presence and push the boundaries of what's possible in semiconductor technology, we invite you to be part of our journey to creating the next generation of memory solutions that will define the future of computing. Position Overview: SK hynix is seeking a seasoned AI Data Center (DC) Operations Contractor to join our DC facilities management team for a 6-12 month engagement. This specialized role demands extensive operational experience managing high-performance computing environments that support AI/ML workloads. The ideal candidate brings knowledge of running AI data centers at scale, with demonstrated expertise in power management, thermal control, preventive maintenance protocols, and incident response procedures specific to GPU-intensive infrastructure. Responsibilities: Optimize AI Infrastructure Performance: Apply your operational expertise to enhance the performance, reliability, and efficiency of our AI computing systems. Ensure continuous availability of critical infrastructure while managing the unique demands of high-density AI workloads - including extreme power consumption, elevated thermal output, and advanced cooling requirements. Monitor & Manage Critical Systems: Lead daily operations by monitoring real-time power consumption across GPU clusters, proactively managing cooling systems to maintain optimal thermal conditions, and coordinating water resource use for cooling infrastructure. Develop and refine AI-specific Standard Operating Procedures (SOPs) to empower teams to respond swiftly and effectively to routine maintenance and emergency situations. Ensure Regulatory Compliance: Maintain strict adherence to operational permits, environmental regulations, and industry certifications. Conduct regular facility audits, serve as the primary liaison with regulatory inspectors and utility providers, and ensure all operational activities remain fully aligned with permit conditions and certification standards. Lead Technical Optimization Initiatives: Serve as the technical lead in implementing power and thermal management strategies that balance peak performance with energy efficiency. Optimize cooling distribution to eliminate thermal hotspots and strategically schedule maintenance windows to minimize disruptions to AI training and inference workloads Continuous Contribution Areas: Identify efficiency improvements and develop enhanced monitoring capabilities to support AI workload management. Establish best practices for operational workflows and create comprehensive documentation for critical procedures. Implement automation where appropriate to reduce manual intervention and improve operational consistency Qualifications: Demonstrate concrete operational capabilities through hands-on experience managing AI or high-performance computing data centers. Minimum 5 years of data center operations experience, including at least 2 years focused specifically on AI/ML infrastructure operations. Direct experience managing facilities supporting GPU clusters with power densities exceeding 30 kW per rack. Deep operational knowledge of cooling systems in AI/ML environments - including liquid cooling, chilled water systems, and advanced thermal management technologies. Proven ability to maintain target operating temperatures in high-density compute environments and troubleshoot cooling system failures under pressure. Comprehensive understanding of power management - including UPS systems, generator operations, PDU management, and electrical load balancing. Skilled in reading and interpreting electrical diagrams, coordinating with utility providers during planned/unplanned outages, and implementing emergency power protocols. Expertise in permit compliance and certification maintenance - including environmental permits, water discharge permits, air quality regulations, and ongoing certifications such as ISO or Uptime Institute operational sustainability standards. Preferred Qualifications: Bachelor's degree or equivalent practical experience Technical depth paired with operational pragmatism - combining hands-on facility management with strategic thinking. Experience working in 24/7 operations teams, responding to critical incidents, and maintaining uptime targets exceeding 99.9% in demanding environments. Ability to balance performance requirements with cost efficiency - with a strong commitment to safety and compliance. Equal Employment Opportunity: SKHYA is an Equal Employment Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees and prohibit discrimination and harassment of any type without regard to race, sex, pregnancy, sexual orientation, religion, age, gender identity, national origin, color, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws. Compensation: Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. Pay within the provided range varies by work location and may also depend on job-related skills and experience. Your Recruiter can share more about the specific salary range for the job location during the hiring process. Pay Range$110,000-$160,000 USD

We are looking for a talented, enthusiastic and dedicated person to support the Fraud Risk Data Science Team within the Risk Data & AI Innovation Org. The incumbent will be responsible for supporting key projects associated with fraud detection, risk analysis and loss mitigation. This position requires a person who has experience with machine learning, model development with cutting edge AI/ML frameworks, performing analytics, statistical analysis and model monitoring. Experience with LLMs and other AI tools would be a big plus. Wed love to chat if you have: 2-6 years of experience in machine learning/AI, data science, risk analytics & data analysis within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse. Bachelors/Master's degree in Data Science, Data Analytics, Mathematics, Statistics, Data Mining or related field or equivalent practical experience Experience using statistics and data science (machine learning & AI) to solve complex business problems Proficiency in SQL, Python, AWS, Excel including key data science libraries Proficiency in data visualization including Tableau Experience working with large datasets Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, ie Tableau. Comfortable with ambiguity and yet able to steer AI and machine learning projects toward clear business goals, testable hypotheses, and action-oriented outcomes Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, and ability to work with your team to make a big impact. Desirable to have experience or aptitude solving problems related to risk using data science and analytics Bonus: Experience with development and implementation of AI tools (e.g. LLMs) for risk use cases. Key Job Functions: Design and develop machine learning and AI models detect/mitigate fraud Support stakeholders and cross-functional teams in effective usage of models Drive AI transformation for all risk management activities at BILL Work with product/engineering to implement, monitor and refine AI solutions and models Expected Outcomes: Work closely with team members and stakeholders to consult, design, develop, and manage fraud models and AI solutions. Utilize data analysis to design and implement fraud models Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven fraud models and AI solutions that operate at scale and in real time for end customers. Make business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple levels of stakeholders. Development of dashboard and visualizations to track KPI of fraud models implemented Preferred Skills: Machine Learning & Artificial Intelligence Data Science Model development Dashboard Creation Project Management Strong Communication Skills. Notes from Hiring Manager: Strong SQL proficiency Experience applying statistics and data science to tackle intricate business challenges especially in Fraud mitigation Proficiency in AWS Quicksight and Tableau This is a hybrid position, so candidates must be based in the San Jose area. HM will entertain remote candidates if no viable local candidates can be sourced. Strictly contract to cover multiple leaves over a 1 yr. period. Potential to extend based on business need and performance. Day shift: M-F Pacific time Multiple Zoom interviews (2-3) SQL assessment during 1st interview. MUST HAVE: 2-6 years of experience in machine learning/AI, data science, risk analytics & data analysis within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse. Bachelors/Master's degree in Data Science, Data Analytics, Mathematics, Statistics, Data Mining or related field or equivalent practical experience Experience using statistics and data science (machine learning & AI) to solve complex business problems Proficiency in SQL, Python, AWS, Excel including key data science libraries Proficiency in data visualization including Tableau Experience working with large datasets Bonus: Experience with development and implementation of AI tools (e.g. LLMs) for risk use cases.

Fraud Strategy Data Scientist, Risk Data Scientist w/Fraud, Risk Analytics, Data Analysis, Data Science, Fraud Mitigation, Industry: eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse, SQL, Tableau, Data Science Libraries Experience level: Mid-senior Experience required: 3 Years Education level: Bachelor's degree Job function: Finance Industry: Financial Services Pay rate : View hourly payrate Total position: 1 Relocation assistance: No Visa sponsorship eligibility: No Note: This is a hybrid position, so candidates must be based in the San Jose area. JOB DESCRIPTION: We are looking for a talented, enthusiastic and dedicated person to support the Fraud Risk Strategy team. The incumbent will be responsible for supporting key projects associated with fraud detection, risk analysis and loss mitigation at Bill.com. This position requires a person who has experience with performing analytics, refining risk strategies, and developing predictive algorithms preferably in the risk domain. We'd love to chat if you have: Maximum 2 years of experience in risk analytics, data analysis, and data science within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse. Bachelor's degree in Data Analytics, Data Science, Mathematics, Statistics, Data Mining or related field or equivalent practical experience Experience using statistics and data science to solve complex business problems Proficiency in SQL, Python, Excel including key data science libraries Proficiency in data visualization including Tableau Experience working with large datasets Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, ie Tableau. Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals, testable hypotheses, and action-oriented outcomes Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, and ability to work with your team to make a big impact. Desirable to have experience or aptitude solving problems related to risk using data science and analytics Bonus: Experience with AWS, knowledge of fraud investigations, payment rule systems, working with ML teams, fraud typologies Key Job Functions Design rules to detect/mitigate fraud Develop python scripts and models that support strategies Investigate novel/large cases Identify root cause Set strategy for different risk types Work with product/engineering to improvement control capabilities Develop and present strategies and guide execution Expected Outcome in 6-12 months Work closely with team members and stakeholders to consult, design, develop, and manage fraud strategies and rules that not only solve emerging fraud trends but also provide a great experience to end customers. Utilize data analysis to design and implement fraud strategies Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven fraud solutions that operate at scale and in real time for end customers. Make business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple levels of stakeholders. Development of dashboard and visualizations to track KPI of fraud strategies implemented Preferred Skills Data analytics and models Rule development Dashboard Creation Project Management Strong Communication Notes from Hiring Manager: Strong SQL proficiency Experience applying statistics and data science to tackle intricate business challenges especially in Fraud mitigation Proficiency in AWS Quicksight and Tableau Strictly contract to cover multiple leaves over a 1 yr. period. Potential to extend based on business need and performance. Day shift: M-F Pacific time Multiple Zoom interviews (2-3) - SQL assessment during 1st interview. MUST HAVE: Maximum 2 years of experience in risk analytics, data analysis, and data science within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse. Bachelor's degree in Data Analytics, Data Science, Mathematics, Statistics, Data Mining or related field or equivalent practical experience. Experience using statistics and data science to solve complex business problems. Experience in SQL, Python, Excel including key data science libraries. Experience applying statistics and data science to tackle intricate business challenges especially in Fraud mitigation. Experience in data visualization including Tableau. Experience working with large datasets.

Role: Data Scientist - Machine Learning Focus (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Adidev Technologies Inc ************************** Adidev Technologies is seeking 2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment. If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist / Data Analyst / Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients. Job Description • Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation-systems, environmental systems and/or agronomic problems. • Strong foundation in Python programming in a cloud environment. • Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills • Expertise in data wrangling using SQL, • Practical knowledge and experience with cloud-computing systems and platforms, including the routine deployment of pipelines through Kubernetes • Fluency in querying/extracting/aggregating data via SQL scripting. • Extract, load and transform data (ETL) from structured and unstructured sources • Apply Natural Language Processing and Computer Vision to solve business use cases, • Strong skills in scientific data analyses, modeling, visualization and communication of results. • Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction Must have • Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others) • Regression (e.g. ? Linear/Logistic/MNL/Mixed Effects/Regularization) • Classification (K-means, Hierarchical, Latent Class, DBScan, SVM) • Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.) • Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.) • Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras • Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest • Distributed computing tools and cloud technology (AWS) Benefits Competitive Salary Paid Relocation Remote Support Guaranteed Regular Salary Reviews Job Type: W2 or Contract 1099 (full-time - 40 hours). Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

ASML US brings together the most creative minds in science and technology to develop lithography machines that are key to producing faster, cheaper, more energy-efficient microchips. We design, develop, integrate, market and service these advanced machines, which enable our customers - the world's leading chipmakers - to reduce the size and increase the functionality of their microchips, which in turn leads to smaller, more powerful consumer electronics. Our headquarters are in Veldhoven, the Netherlands, and we have 18 office locations around the United States including main offices in Chandler, Arizona, San Jose and San Diego, California, Wilton, Connecticut, and Hillsboro, Oregon. Introduction We are looking for an enthusiastic intern to join our team and help us explore innovative ways to process large volumes of equipment data using Artificial Intelligence (AI). This internship offers a unique opportunity to work on cutting-edge technologies and contribute to transforming how we manage and analyze machine data collected from customer sites. Background Information Our team is responsible for managing and analyzing equipment data generated by machines deployed at customer locations. Currently, processing this data involves tedious manual activities and the use of existing scripts with limited flexibility. These challenges hinder scalability and efficiency, creating a strong need for automation and smarter solutions. Your Assignment: The intern will investigate emerging AI technologies and techniques to improve data processing workflows. The goal is to identify opportunities where AI can replace or augment manual processes and develop proof-of-concept solutions to showcase potential improvements. Research AI methods applicable to data processing and automation. Analyze current workflows and identify areas for improvement. Develop prototypes or proof-of-concept solutions using AI tools and frameworks. Document findings and present results to the team. Requirements: Minimum 60 hours completed towards a Bachelor's degree in an Engineering field and an expected graduation date of December 2026 or May 2027.with experience in working with data analysis tools and techniques. Problem Statement: Big amounts of equipment data are being collected from our machines at customer sites. Processing of that data heavily relies on manual activities and rigid scripts. This internship aims to explore AI-driven approaches to automate and optimize these processes. What Makes This Internship Interesting: You will work on real-world industrial data challenges, gain hands-on experience with AI technologies, and contribute to shaping future solutions for data-driven operations. The current base annual hourly range for this role is currently $18.00 - $48.00. Pay scales are determined by role, level, location and alignment with market data. Individual pay is determined through interviews and an assessment of several factors that that are unique to each candidate, including but not limited to job-related skills, relevant education and experience, certifications, abilities of the candidate and pay relative to other team members. Inclusion and diversity ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company. Need to know more about applying for a job at ASML? Read our frequently asked questions. Request an Accommodation ASML provides reasonable accommodations to applicants for ASML employment and ASML employees with disabilities. An accommodation is a change in work rules, facilities, or conditions which enable an individual with a disability to apply for a job, perform the essential functions of a job, and/or enjoy equal access to the benefits and privileges of employment. If you are in need of an accommodation to complete an application, participate in an interview, or otherwise participate in the employee pre-selection process, please send an email to USHR_Accommodation@asml.com to initiate the company's reasonable accommodation process. Please note: This email address is solely intended to provide a method for applicants to initiate ASML's process to request accommodation(s). Any recruitment questions should be directed to the designated Talent Acquisition member for the position.

Fullpower -AI delivers a complete B2B IoT platform for AI-powered algorithms, remote contactless biosensing together with end-to-end engineering services, and customization of software in the field of life sciences, health, and biotechnology. Fullpower's platform is vetted and deployed as a PaaS, backed by a patent portfolio of 135+ patents. Fullpower's key areas of expertise include contactless biosensing, remote monitoring, non-invasive sleep technology, and the development of new technologies for others in the life sciences and biotechnology fields. Fullpower's B2B PaaS customers are in medical solutions, remote-contactless biosensing, bedding solutions, wearable, and wellness services. Fullpower is seeking a passionate, team-oriented, and self-motivated Data Scientist interested in working on our next generation of products and algorithms and modeling rich, biomedical sensor data with a view toward medical, health, and fitness outcomes. The ideal candidate will have a strong background in machine learning and data science and a proven track record of deploying models and algorithms for real-world applications. Job Responsibilities: Work with health data and time-series sensor data Connect biomedical sensor data with medical, health, and fitness outcomes Research and development of machine learning algorithms and statistical models for non-invasive sleep tracking Develop visualizations and tools for understanding and annotating data Optimize algorithms for running on embedded devices and in the cloud Design and run experiments and clinical trials Processing, cleaning, and combining different data sources to create new datasets Collaborate with an interdisciplinary team of scientists, engineers, mathematicians for quick deployment of solutions Software skills: Expertise in Python and packages such as numpy, pandas, scikit-learn Experience with a deep learning framework such as Tensorflow, py Torch, or equivalent Experience working with databases including familiarity with SQL Experience with Amazon Web Services (AWS) or Google Cloud Experience with C++ is a plus Leadership qualities: Self starter Strong interpersonal and communication skills Education and Experience: Experience applying data science and machine learning to real-world problems Bachelor's degree or higher in Mathematics, Statistics, Physics, Computer Science, or equivalent Graduate degree and/or 5+ years experience a plus Additional Information: Fullpower does not sponsor work visas - must already be authorized to work in the United States The base salary range for this full-time position is $130,000 to $170,000, plus equity, plus benefits. Fullpower's salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education and training.

Salary: $200-250k base + RSUs This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We're expanding our data science organization to accelerate customer success after the initial sale-driving onboarding, retention, expansion, and long-term revenue growth. About the Role As the senior data scientist supporting post-sales teams, you will use advanced analytics, experimentation, and predictive modeling to guide strategy across Customer Success, Account Management, and Renewals. Your insights will help leadership forecast expansion, reduce churn, and identify the levers that unlock sustainable net revenue retention. Key Responsibilities Forecast & Model Growth: Build predictive models for renewal likelihood, expansion potential, churn risk, and customer health scoring. Optimize the Customer Journey: Analyze onboarding flows, product adoption patterns, and usage signals to improve activation, engagement, and time-to-value. Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of onboarding programs, success initiatives, and pricing changes on retention and expansion. Revenue Insights: Partner with Customer Success and Sales to identify high-value accounts, cross-sell opportunities, and early warning signs of churn. Cross-Functional Partnership: Collaborate with Product, RevOps, Finance, and Marketing to align post-sales strategies with company growth goals. Data Infrastructure Collaboration: Work with Analytics Engineering to define data requirements, maintain data quality, and enable self-serve dashboards for Success and Finance teams. Executive Storytelling: Present clear, actionable recommendations to senior leadership that translate complex analysis into strategic decisions. About You Experience: 6+ years in data science or advanced analytics, with a focus on post-sales, customer success, or retention analytics in a B2B SaaS environment. Technical Skills: Expert SQL and proficiency in Python or R for statistical modeling, forecasting, and machine learning. Domain Knowledge: Deep understanding of SaaS metrics such as net revenue retention (NRR), gross churn, expansion ARR, and customer health scoring. Analytical Rigor: Strong background in experimentation design, causal inference, and predictive modeling to inform customer-lifecycle strategy. Communication: Exceptional ability to translate data into compelling narratives for executives and cross-functional stakeholders. Business Impact: Demonstrated success improving onboarding efficiency, retention rates, or expansion revenue through data-driven initiatives.

Team Intro: The Data Science team of the Tech and Product department at TikTok USDS is responsible for building high-quality and timely data solutions for the business as the single source of truth and for building easy-to-use and scalable data products to support business growth. We are looking for talented individuals to join our team as soon as 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok USDS. Please state your graduation date clearly in your resume. Applications will be reviewed on a rolling basis. We encourage you to apply early. You will have the exciting opportunity to: * Conduct product analytics to provide product recommendations that drive product growth * Deep dive into data sources, understand their limitations, and communicate complex data insights through exploratory analysis and research to suggest improvement * Design and monitor core metrics; understand root causes of metric movements * Design and build advanced analytical solutions and models to deliver superior business outcomes Minimum Qualifications * 1+ years of previous internship(s) experience * Experience with SQL, Python, or R * BS/MS in Computer Science, Math, Economics, Statistics, or other science and engineering fields * Self-motivated, detail-oriented, learn autonomously, and highly organized Preferred Qualifications * Experience navigating and working with large data sets using SQL * Ability to conduct rigorous analysis and communicate conclusions to both technical and non-technical audiences Online Assessment Candidates who pass resume evaluation will be invited to participate in a technical online assessment through HackerRank. Candidates for this position must be legally authorized to work in the United States. This position is not eligible for visa sponsorship or support.

Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens. Applications are accepted until further notice. Meet the Team Work on extensive structured, unstructured, transactional and real-time data sets from a variety of sources to analyze customer usage patterns and provide actionable, intuitive, impactful insights using metrics, algorithms, and statistics. Your Impact * Acquire, clean and structure data from various sources and maintain databases/data systems * Identify, analyze, and interpret trends or patterns in complex data sets * Develop, prototype and test predictive algorithms * Filter and "clean" data, and review computer reports, printouts, and performance indicators to locate and correct code problems * Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality * Interpret data, analyze results using statistical techniques and provide ongoing reports Minimum Qualifications * Completion within the past 3 years, or current enrollment with expected completion within 12 months, of a certification or degree program (e.g., Associates, Apprenticeship, Boot Camp, or Certification in a specialized program + 3 years of relevant experience, High School Diploma + 4 years of relevant experience, Bachelors + 2 years of relevant experience) or Masters + 0 years of relevant experience. Relevant fields include: Engineering, Computer Science, Data Science, Statistics, or equivalent. * Proficiency in data manipulation tools (SQL, Hadoop, etc.), programming languages (R, Python, XML, JavaScript, or ETL), and solid understanding of reporting packages (e.g., Business Objects) and statistical packages for data analysis (Excel, SPSS, SAS, etc.). * Technical knowledge in data models, database design, data mining, and segmentation techniques, with proficiency in writing queries, report writing, and presenting findings. Preferred Qualifications * Experience with Oracle databases * Familiarity with advanced machine learning techniques, neural networks, and deep learning frameworks like TensorFlow or PyTorch * Expertise in analyzing time-series data and forecasting * Familiarity with software development methodologies * Strong presentation and storytelling skills to effectively communicate findings to technical and non-technical audiences . 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: 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: $135,300.00 - $197,400.00 Non-Metro New York state & Washington state: $120,600.00 - $175,600.00 * 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.

Job Title: AI Data Center Operations Contractor Job Type: Contract (6 - 12 months) Work Model: Onsite America At SK hynix America, we're at the forefront of semiconductor innovation, developing advanced memory solutions that power everything from smartphones to data centers. As a global leader in DRAM and NAND flash technologies, we drive the evolution of advancing mobile technology, empowering cloud computing, and pioneering future technologies. Our cutting-edge memory technologies are essential in today's most advanced electronic devices and IT infrastructure, enabling enhanced performance and user experiences across the digital landscape. We're looking for innovative minds to join our mission of shaping the future of technology. At SK hynix America, you'll be part of a team that's pioneering breakthrough memory solutions while maintaining a strong commitment to sustainability. We're not just adapting to technological change - we're driving it, with significant investments in artificial intelligence, machine learning, and eco-friendly solutions and operational practices. As we continue to expand our market presence and push the boundaries of what's possible in semiconductor technology, we invite you to be part of our journey to creating the next generation of memory solutions that will define the future of computing. Position Overview: SK hynix is seeking a seasoned AI Data Center (DC) Operations Contractor to join our DC facilities management team for a 6-12 month engagement. This specialized role demands extensive operational experience managing high-performance computing environments that support AI/ML workloads. The ideal candidate brings knowledge of running AI data centers at scale, with demonstrated expertise in power management, thermal control, preventive maintenance protocols, and incident response procedures specific to GPU-intensive infrastructure. Responsibilities: * Optimize AI Infrastructure Performance: Apply your operational expertise to enhance the performance, reliability, and efficiency of our AI computing systems. Ensure continuous availability of critical infrastructure while managing the unique demands of high-density AI workloads - including extreme power consumption, elevated thermal output, and advanced cooling requirements. * Monitor & Manage Critical Systems: Lead daily operations by monitoring real-time power consumption across GPU clusters, proactively managing cooling systems to maintain optimal thermal conditions, and coordinating water resource use for cooling infrastructure. Develop and refine AI-specific Standard Operating Procedures (SOPs) to empower teams to respond swiftly and effectively to routine maintenance and emergency situations. * Ensure Regulatory Compliance: Maintain strict adherence to operational permits, environmental regulations, and industry certifications. Conduct regular facility audits, serve as the primary liaison with regulatory inspectors and utility providers, and ensure all operational activities remain fully aligned with permit conditions and certification standards. * Lead Technical Optimization Initiatives: Serve as the technical lead in implementing power and thermal management strategies that balance peak performance with energy efficiency. Optimize cooling distribution to eliminate thermal hotspots and strategically schedule maintenance windows to minimize disruptions to AI training and inference workloads Continuous Contribution Areas: * Identify efficiency improvements and develop enhanced monitoring capabilities to support AI workload management. * Establish best practices for operational workflows and create comprehensive documentation for critical procedures. * Implement automation where appropriate to reduce manual intervention and improve operational consistency Qualifications: * Demonstrate concrete operational capabilities through hands-on experience managing AI or high-performance computing data centers. * Minimum 5 years of data center operations experience, including at least 2 years focused specifically on AI/ML infrastructure operations. * Direct experience managing facilities supporting GPU clusters with power densities exceeding 30 kW per rack. * Deep operational knowledge of cooling systems in AI/ML environments - including liquid cooling, chilled water systems, and advanced thermal management technologies. * Proven ability to maintain target operating temperatures in high-density compute environments and troubleshoot cooling system failures under pressure. * Comprehensive understanding of power management - including UPS systems, generator operations, PDU management, and electrical load balancing. * Skilled in reading and interpreting electrical diagrams, coordinating with utility providers during planned/unplanned outages, and implementing emergency power protocols. * Expertise in permit compliance and certification maintenance - including environmental permits, water discharge permits, air quality regulations, and ongoing certifications such as ISO or Uptime Institute operational sustainability standards. Preferred Qualifications: * Bachelor's degree or equivalent practical experience * Technical depth paired with operational pragmatism - combining hands-on facility management with strategic thinking. * Experience working in 24/7 operations teams, responding to critical incidents, and maintaining uptime targets exceeding 99.9% in demanding environments. * Ability to balance performance requirements with cost efficiency - with a strong commitment to safety and compliance. Equal Employment Opportunity: SKHYA is an Equal Employment Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees and prohibit discrimination and harassment of any type without regard to race, sex, pregnancy, sexual orientation, religion, age, gender identity, national origin, color, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws. Compensation: Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. Pay within the provided range varies by work location and may also depend on job-related skills and experience. Your Recruiter can share more about the specific salary range for the job location during the hiring process. Pay Range $110,000-$160,000 USD

We are looking for a talented, enthusiastic and dedicated person to join the Credit Risk Strategy team. The incumbent will be responsible for leading key projects associated with credit risk assessment, data analysis and loss mitigation. This position requires a person who has experience performing analytics, refining risk strategies, and developing predictive algorithms preferably in the credit risk domain. Key Job Functions Design rules to detect/mitigate loss Investigate novel/large cases Identify root cause Set strategy for different risk types Work with product/engineering to improvement control capabilities Develop and present strategies and guide execution Drive results that maximize eligible customers while controlling losses Professional Experience/Background to be successful in this role: Minimum 2 years of experience in risk analytics, data analysis, or data science within the Fintech or online payments industry. Bachelors degree in computer science, Engineering, Mathematics, Statistics, Data Mining or related field or equivalent practical experience. Experience using statistics and data science to solve complex business problems. Proficiency in SQL, Python, Excel including key data science libraries. Experience working with large datasets. Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, ie Tableau. Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals, testable hypotheses, and action-oriented outcomes. Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, and ability to work with your team to make a big impact. Desirable to have experience or aptitude solving problems related to risk using data science and analytics. Bonus: Experience with AWS, payment rule systems, and knowledge of credit products. Expected Outcome in 6-12 months: Development of dashboard and visualizations to track KPI of credit strategies implemented Work closely with team members and stakeholders to consult, design, develop, and manage credit trends and losses that not only solve emerging loss trends but also provide a great experience to end customers. Utilize data analysis to design and implement credit strategies Analyze and transform data using RaaS platforms to identify loss patterns and optimize the systems to flag these patterns Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven credit solutions that operate at scale and in real time for end customers. Make business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple levels of stakeholders. Preferred Skills: Data analytics Rule development Dashboard Creation Project Management Strong Communication Notes from Hiring Manager: Interview process: Multiple (At home screening, 1 technical interview with senior team member, 1 interview panel with hiring manager and team member). Team size: 5 team members, position will work closely with a senior team member at outset, role will largely focus on reporting, so experience with visualization and data storytelling is a plus. MUST HAVE: Bachelors degree in computer science, Engineering, Mathematics, Statistics, Data Mining or related field or equivalent practical experience. Minimum 2 years of experience in risk analytics, data analysis, or data science within the Fintech or online payments industry. Experience using statistics and data science to solve complex business problems. Proficiency in SQL, Python, Excel including key data science libraries. Experience working with large datasets. Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, i.e. Tableau. Desirable to have experience or aptitude solving problems related to risk using data science and analytics. Experience with AWS, payment rule systems, and knowledge of credit products.

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 **************.

We are looking for a talented, enthusiastic and dedicated person to support the Fraud Risk Strategy team. The incumbent will be responsible for supporting key projects associated with fraud detection, risk analysis and loss mitigation. This position requires a person who has experience with performing analytics, refining risk strategies, and developing predictive algorithms preferably in the risk domain. Wed love to chat if you have: Maximum 2 years of experience in risk analytics, data analysis, and data science within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse. Bachelors degree in Data Analytics, Data Science, Mathematics, Statistics, Data Mining or related field or equivalent practical experience Experience using statistics and data science to solve complex business problems Proficiency in SQL, Python, Excel including key data science libraries Proficiency in data visualization including Tableau Experience working with large datasets Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, ie Tableau. Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals, testable hypotheses, and action-oriented outcomes Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, and ability to work with your team to make a big impact. Desirable to have experience or aptitude solving problems related to risk using data science and analytics Bonus: Experience with AWS, knowledge of fraud investigations, payment rule systems, working with ML teams, fraud typologies Key Job Functions Design rules to detect/mitigate fraud Develop python scripts and models that support strategies Investigate novel/large cases Identify root cause Set strategy for different risk types Work with product/engineering to improvement control capabilities Develop and present strategies and guide execution Expected Outcome in 6-12 months Work closely with team members and stakeholders to consult, design, develop, and manage fraud strategies and rules that not only solve emerging fraud trends but also provide a great experience to end customers. Utilize data analysis to design and implement fraud strategies Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven fraud solutions that operate at scale and in real time for end customers. Make business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple levels of stakeholders. Development of dashboard and visualizations to track KPI of fraud strategies implemented Preferred Skills Data analytics and models Rule development Dashboard Creation Project Management Strong Communication Notes from Hiring Manager: Strong SQL proficiency Experience applying statistics and data science to tackle intricate business challenges especially in Fraud mitigation Proficiency in AWS Quicksight and Tableau Strictly contract to cover multiple leaves over a 1 yr. period. Potential to extend based on business need and performance. Day shift: M-F Pacific time Multiple Zoom interviews (2-3) SQL assessment during 1st interview. MUST HAVE: Maximum 2 years of experience in risk analytics, data analysis, and data science within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse. Bachelors degree in Data Analytics, Data Science, Mathematics, Statistics, Data Mining or related field or equivalent practical experience. Experience using statistics and data science to solve complex business problems. Experience in SQL, Python, Excel including key data science libraries. Experience applying statistics and data science to tackle intricate business challenges especially in Fraud mitigation. Experience in data visualization including Tableau. Experience working with large datasets.

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 **************.