Senior data scientist jobs in Salinas, CA - 220 jobs

Everfit | Hybrid, San Francisco Bay Area Everfit is a fitness technology company building an AI-powered coaching platform that serves 280,000+ coaches globally. We're transforming how fitness professionals deliver personalized training and nutrition guidance to their clients through intelligent automation and data-driven insights. About the Role We're looking for a data scientist who is passionate about fitness and energized by turning data into actionable insights that help coaches and their clients succeed. You'll play a critical role in understanding user behavior, product performance, and business metrics to inform strategic decisions as we scale our platform. What You'll Do Analyze user engagement patterns, retention metrics, and feature adoption to identify opportunities for product improvement Build dashboards and reports that make complex data accessible to cross-functional teams Partner with Product, Engineering, and Marketing to design experiments and measure their impact Dive deep into the coaching journey to understand what drives client outcomes and coach success Translate data findings into clear narratives and recommendations for leadership Support the development of our AI/ML capabilities by identifying data patterns and opportunities What We're Looking For Non-negotiable: Genuine passion for fitness, health, or wellness (we build for coaches so you need to understand their world) Strong proficiency in SQL and experience working with large datasets Experience with data visualization tools (Looker, Tableau, Mode, or similar) Ability to translate technical findings into insights for non-technical stakeholders Strongly preferred: 2-4 years of experience in a data analyst or analytics role, preferably at a growth-stage tech company Experience with Python or R for statistical analysis Familiarity with product analytics tools (Amplitude, Mixpanel, or similar) Understanding of SaaS metrics and cohort analysis Experience in a PLG (Product-Led Growth) environment Background in the fitness, health, or coaching industry You'll thrive here if you: Are naturally curious and love asking "why" until you find the answer Can balance rigor with speed-knowing when to dig deeper and when to move forward Enjoy collaborating with diverse teams and making complex topics understandable Are comfortable with ambiguity and can structure your own work Care deeply about the impact your insights have on real coaches and their clients What We Offer Competitive compensation with equity Flexible PTO and remote-first culture The opportunity to directly impact the success of 280,000+ coaches worldwide Our Team We're a distributed team of ~15 in the US, scaling to 2 - 3x that by end of 2026. We value depth over superficial growth, shipping over endless planning, and genuine fitness passion over resume credentials.

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. AI & Data - Data Architecture - Senior Manager - Power & Utilities Sector EY is seeking a motivated professional with solid experience in the utilities sector to serve as a Senior Manager who possesses a robust background in Data Architecture, Data Modernization, End to end Data capabilities, AI, Gen AI, Agentic AI, preferably with a power systems / electrical engineering background and having delivered business use cases in Transmission / Distribution / Generation / Customer. The ideal candidate will have a history of working for consulting companies and be well-versed in the fast-paced culture of consulting work. This role is dedicated to the utilities sector, where the successful candidate will craft, deploy, and maintain large-scale AI data ready architectures. The opportunity You will help our clients enable better business outcomes while working in the rapidly growing Power & Utilities sector. You will have the opportunity to lead and develop your skill set to keep up with the ever-growing demands of the modern data platform. During implementation you will solve complex analytical problems to bring data to insights and enable the use of ML and AI at scale for your clients. This is a high growth area and a high visibility role with plenty of opportunities to enhance your skillset and build your career. As a Senior Manager in Data Architecture, you will have the opportunity to lead transformative technology projects and programs that align with our organizational strategy to achieve impactful outcomes. You will provide assurance to leadership by managing timelines, costs, and quality, and lead both technical and non-technical project teams in the development and implementation of cutting-edge technology solutions and infrastructure. You will have the opportunity to be face to face with external clients and build new and existing relationships in the sector. Your specialized knowledge in project and program delivery methods, including Agile and Waterfall, will be instrumental in coaching others and proposing solutions to technical constraints. Your key responsibilities In this pivotal role, you will be responsible for the effective management and delivery of one or more processes, solutions, and projects, with a focus on quality and effective risk management. You will drive continuous process improvement and identify innovative solutions through research, analysis, and best practices. Managing professional employees or supervising team members to deliver complex technical initiatives, you will apply your depth of expertise to guide others and interpret internal/external issues to recommend quality solutions. Your responsibilities will include: As Data Architect - Senior Manager, you will have an expert understanding of data architecture and data engineering and will be focused on problem-solving to design, architect, and present findings and solutions, leading more junior team members, and working with a wide variety of clients to sell and lead delivery of technology consulting services. You will be the go-to resource for understanding our clients' problems and responding with appropriate methodologies and solutions anchored around data architectures, platforms, and technologies. You are responsible for helping to win new business for EY. You are a trusted advisor with a broad understanding of digital transformation initiatives, the analytic technology landscape, industry trends and client motivations. You are also a charismatic communicator and thought leader, capable of going toe-to-toe with the C-level in our clients and prospects and willing and able to constructively challenge them. Skills and attributes for success To thrive in this role, you will need a combination of technical and business skills that will make a significant impact. Your skills will include: Technical Skills Applications Integration Cloud Computing and Cloud Computing Architecture Data Architecture Design and Modelling Data Integration and Data Quality AI/Agentic AI driven data operations Experience delivering business use cases in Transmission / Distribution / Generation / Customer. Strong relationship management and business development skills. Become a trusted advisor to your clients' senior decision makers and internal EY teams by establishing credibility and expertise in both data strategy in general and in the use of analytic technology solutions to solve business problems. Engage with senior business leaders to understand and shape their goals and objectives and their corresponding information needs and analytic requirements. Collaborate with cross-functional teams (Data Scientists, Business Analysts, and IT teams) to define data requirements, design solutions, and implement data strategies that align with our clients' objectives. Organize and lead workshops and design sessions with stakeholders, including clients, team members, and cross-functional partners, to capture requirements, understand use cases, personas, key business processes, brainstorm solutions, and align on data architecture strategies and projects. Lead the design and implementation of modern data architectures, supporting transactional, operational, analytical, and AI solutions. Direct and mentor global data architecture and engineering teams, fostering a culture of innovation, collaboration, and continuous improvement. Establish data governance policies and practices, including data security, quality, and lifecycle management. Stay abreast of industry trends and emerging technologies in data architecture and management, recommending innovations and improvements to enhance our capabilities. To qualify for the role, you must have A Bachelor's degree required in STEM 12+ years professional consulting experience in industry or in technology consulting. 12+ years hands-on experience in architecting, designing, delivering or optimizing data lake solutions. 5+ years' experience with native cloud products and services such as Azure or GCP. 8+ years of experience mentoring and leading teams of data architects and data engineers, fostering a culture of innovation and professional development. In-depth knowledge of data architecture principles and best practices, including data modelling, data warehousing, data lakes, and data integration. Demonstrated experience in leading large data engineering teams to design and build platforms with complex architectures and diverse features including various data flow patterns, relational and no-SQL databases, production-grade performance, and delivery to downstream use cases and applications. Hands-on experience in designing end-to-end architectures and pipelines that collect, process, and deliver data to its destination efficiently and reliably. Proficiency in data modelling techniques and the ability to choose appropriate architectural design patterns, including Data Fabrics, Data Mesh, Lake Houses, or Delta Lakes. Manage complex data analysis, migration, and integration of enterprise solutions to modern platforms, including code efficiency and performance optimizations. Previous hands‑on coding skills in languages commonly used in data engineering, such as Python, Java, or Scala. Ability to design data solutions that can scale horizontally and vertically while optimizing performance. Experience with containerization technologies like Docker and container orchestration platforms like Kubernetes for managing data workloads. Experience in version control systems (e.g. Git) and knowledge of DevOps practices for automating data engineering workflows (DataOps). Practical understanding of data encryption, access control, and security best practices to protect sensitive data. Experience leading Infrastructure and Security engineers and architects in overall platform build. Excellent leadership, communication, and project management skills. Data Security and Database Management Enterprise Data Management and Metadata Management Ontology Design and Systems Design Ideally, you'll also have Master's degree in Electrical / Power Systems Engineering, Computer science, Statistics, Applied Mathematics, Data Science, Machine Learning or commensurate professional experience. Experience working at big 4 or a major utility. Experience with cloud data platforms like Databricks. Experience in leading and influencing teams, with a focus on mentorship and professional development. A passion for innovation and the strategic application of emerging technologies to solve real-world challenges. The ability to foster an inclusive environment that values diverse perspectives and empowers team members. Building and Managing Relationships Client Trust and Value and Commercial Astuteness Communicating With Impact and Digital Fluency What we look for We are looking for top performers who demonstrate a blend of technical expertise and business acumen, with the ability to build strong client relationships and lead teams through change. Emotional agility and hybrid collaboration skills are key to success in this dynamic role. FY26NATAID What we offer you At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more. We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $144,000 to $329,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $172,800 to $374,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being. Are you ready to shape your future with confidence? Apply today. EY accepts applications for this position on an on‑going basis. For those living in California, please click here for additional information. EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** . #J-18808-Ljbffr

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo. Why Join Us Inspiring creativity is at the core of TikTok's mission. Our innovative product is 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 bring joy - a mission we work towards every day. 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. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. 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 Conduct data analysis to understand data, provide actionable insights, and measure the data through experimentation and causal inference. Design metrics framework to measure product health, track core metrics, and understand root causes of metric movements. Conduct scientific evaluation with statistical methods, including A/B testing and causal inference. Identify growth opportunities with data analytics and drive business decisions. Partner with Product Managers, Machine Learning Engineers, and Research and Development team members to solve problems and identify trends and opportunities. Research data science theories and methodology and improve analysis efficiency and data product tools. Work with large, complex data sets to solve difficult, non-routine analysis problems by applying advanced analytical methods as needed. Visualize and synthesize analytics and statistical approaches into easy-to consume storylines for the team to provide indicated actions for executive audiences. Interact cross-functionally, making business recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information. Mentor junior and intern Data Scientists.Qualifications Must have a Master's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Data Analytics, Business Analytics, Finance, Statistics, 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, Data Science, Data Analytics, Business Analytics, Finance, Statistics, 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, or R for metrics creation, root cause analysis, and model preprocessing; Leveraging advanced data gathering, processing, and analysis techniques to develop and deliver data-driven recommendations to support business decisions; Designing A/B tests, conducting statistical analysis, and interpreting A/B test results to provide insights for product features; and Developing graphical and visual representations of data using business intelligence tool Excel or Tableau. Travel Requirement: International travel required up to 10%. Type: Full time, 40 hours/week Location: San Jose, CA Salary Range: $275850 - $329333 per year To Apply, click the apply button below. Contact ******************** if you have difficulty submitting resume through the website. TikTok 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 TikTok, our mission is to inspire creativity and bring joy. 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. TikTok 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

At Apple, we believe in the power of technology to enrich people's lives. Everything we build is designed to empower people, including our advertising platform. We deliver ads in a way that benefits both consumers and advertisers - helping people discover content, supporting creators, and protecting and respecting everyone's privacy. Our technology makes advertising possible on the App Store, Apple News, Stocks, and Apple TV. We help developers and marketers of all sizes drive app discovery across the App Store. Our display ads on Apple News and Stocks let advertisers promote their products alongside trusted content in a brand-safe environment, while supporting publishers and journalists. Sponsorship integrations and experiences in live sports on Apple TV help advertisers connect with captivated audiences. Everything we do is with the unwavering commitment to privacy you expect from Apple. Because when advertising is done right, it benefits everyone. Our platforms are highly performant, deployed at scale, and set new standards for enabling effective advertising while protecting user privacy. The Ad Platforms Data Insights team is seeking a Data Scientist to join in developing the next generation of analytical solutions in collaboration with Engineering, Product, Sales, Marketing, and Finance. In this role you will work as a key member of a data-centric team to drive the exploration, analysis, development, execution, and measurement solutions that are essential to running and growing the ads marketplace. Responsibilities include turning the huge amounts of data generated by user searches, app content, and App Store context into business insights that improve the customer experience for the end-user as well as drive discovery and efficiency for app developers. This role requires both a broad knowledge of statistics and creativity to invent and customize when vital. You'll dig in and get into the details. The theory behind the techniques are just the beginning. You'll be working on projects where practical applications of these approaches get applied in real-world scenarios. Successful analytics teams involve data scientists and data engineers working hand in hand to build insightful and efficient solutions. In your role, you will be a key player in a multi-functional team that delivers insights that have direct and measurable impact. We're looking for an inquisitive, collaborative, and passionate person to join this amazing team. 4+ years of recent experience in a data science role. Experience in the mobile advertising industry or related field. Familiarity with job orchestration frameworks such as Airflow. Demonstrated ability to build visualizations, dashboards and enable broader consumption of insights and tools for investigations. Post-Bachelor's degree in Data Science, Applied Mathematics, Statistics, Computer Science or relevant field/experience 2+ years of recent experience in a data science role. Programming skills in Python and SQL, and familiarity with machine learning, such as scikit-learn, xgboost, PyTorch, SciPy is necessary. Familiar with statistical analysis methods, most notably regression analysis, causal inference, statistical learning and A/B and quasi-experimentation methods. Demonstrated experience in applying statistics and machine learning to generate clear actionable insights. Comfortable with a variety of data stores such as Hadoop, and Snowflake, familiar with distributed analytics engines such as Spark/PySpark. Possess exceptional communication skills to communicate analyses in a clear and effective manner to technical audience and executive leadership. Demonstrated ability to partner with engineering, meet the data needs of the business, finding creative analytical solutions and develop initial prototypes to address messy business problems. Proven ability to operate comfortably and optimally in a fast-paced and constantly evolving environment. Bachelor's degree in Data Science, Applied Mathematics, Statistics, Computer Science or relevant field/experience

About the team: Global e-commerce is a content e-commerce business with international short video product as the carrier. It is committed to becoming the first choice for users to discover and purchase good products with affordable prices. Global e-commerce business team hopes to provide users with more tailored and efficient consumption experience, enabling merchants to receive consistent and reliable platform services in different scenarios such as live e-commerce, short video content e-commerce, so as to make more affordable and high-quality products sell easily and a better life within reach. Content E-commerce is a global team responsible for building up the content ecosystem for E-commerce. We provide more highly qualified E-commerce content to customers to help them find good products at affordable prices. We attract more creators to land on the E-commerce platform, create more E-commerce related content and get benefits from their content. Also, we help merchants to find suitable creators to sell their products. Our mission is to build up an ecosystem which both customers and creators and merchants will benefit from. Responsibilities: - Build out reporting to track product performance using data visualization tools - Bring strong desire to learn in a fast paced environment while collaborating with business stakeholders and technical leads - Exercise a high level of empathy in order to help the business identify and prioritize data needs and define proper metrics to measure initiative success - Use data to bring actionable insights that will help teams execute on their long-term strategy and inform them how well they're performing at their goals Minimum Qualifications: - Bachelor's degree or above in computer science, statistics, math, internet security or other relevant majors - 5 years of work experience in data analytics/science or other relevant fields - Solid analytical skills. Proficiency in statistical analytical tools, such as SQL and Python Preferred Qualifications: - Familiarity with social/content online platform analytics, especially metrics design, product feature analytics and A/B testing methodologies. Bonus given to proficiency in data mining skills e.g. modern machine applications - Ability to think critically, objectively, rationally. Reason and communicate in a result-oriented, data-driven manner

#DS-AVN Our client, a pioneer in reshaping consumer credit using innovative technology, is committed to reducing capital costs. They strongly believe in universal access to capital, crucial in today's capital-based economy, with over $1 trillion in unsecured credit card revolving balances. The journey of credit cards since the '60s, culminating in balances exceeding $1 trillion in 50 years, reveals the existing challenges. Unsecured credit, despite its efficiency in quick underwriting and access to capital in 1-3 days, comes at a high cost (15-25% APR). Conversely, secured capital involves high origination costs and prolonged processes (weeks in underwriting, months for access) but offers cheaper rates ( Innovating the credit landscape, our client introduced a new asset-backed credit card, securing equity in homes, cars, and other assets. This innovation allows them to offer remarkably low APRs to consumers. Their flagship product boasts the world's lowest APR credit card, aiming to change the credit paradigm. Funding: Backed by substantial equity funding of over $250 million, our client comprises a well-capitalized team comprising technology (Microsoft, Facebook) and finance (Square, Discover, CapitalOne, Goldman) experts. With top-tier investors like Founders Fund, Khosla Ventures, Caffeinated Capital, Max Levchin, NYCA, and Sequoia, our client continues to lead the charge in transforming consumer credit. Additionally, they recently secured Series D funding, further solidifying their position in this innovative endeavor. Role: Data Scientist Join a dynamic startup that's pioneering innovative paths in technology across multiple sectors. We are seeking a highly skilled Data Scientist who thrives on analyzing and deriving insights from complex data sets to drive product strategy and business decisions. In this role, you will collaborate closely with diverse teams, including Product, Engineering, Marketing, Sales, Finance, and Data Science, to develop and implement data-driven strategies that enhance product performance and customer satisfaction. Responsibilities: Partner with cross-functional teams to influence product strategies using advanced analytical and scientific methods. Utilize statistical, machine learning, and econometric models on large datasets to measure outcomes, identify causal impacts, and attribute effects. Predict future performance of users or products using robust data-driven methodologies. Design, implement, and launch innovative data science solutions to bolster decision-making at all levels. Analyze experiment results and interpret data to refine product offerings and strategies. Develop and monitor key performance metrics for products, ensuring data accuracy and actionable insights. Lead the enhancement of data collection practices and refine existing data to improve overall data quality. Who Should Apply: Individuals with over 5 years of data science experience and demonstrated thought leadership in the field. Those holding a PhD or MS in a quantitative discipline such as Engineering, Mathematics, Natural Sciences, or Economics. Experts in a scientific computing language (R or Python) and proficient in SQL. Professionals with deep theoretical and practical knowledge in statistics, machine learning, and experimental design. Excellent communicators with strong abilities to convey complex data in a clear and persuasive manner. Experienced in designing and scaling complex modeling solutions from concept through to production. Influential in high-stake decision-making processes with strong project management skills. This position offers an exceptional opportunity to be at the forefront of technological innovation and to shape the future of a fast-growing startup. If you are a motivated Data Scientist eager to make a substantial impact through your analytical expertise and strategic insights, we would love to hear from you. Cash Comp in the range of $200K-$300K.

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do - and they push us to ensure we take care of ourselves, each other, and our communities. Job Summary: Be a senior member of the PayPal Checkout Analytics team, with expertise in deriving actionable insights through deep-dive analysis. Skilled in supporting new product and feature launches by designing robust test-and-control frameworks and implementing continuous monitoring to track and optimize product performance. Job Description: We are seeking a Senior Data Scientist for our Checkout Analytics team who excels beyond traditional reporting and analysis. This leader will leverage PayPal's extensive data to uncover actionable insights, gaining a deep understanding of the Consumer Experience, Payment ecosystems, and site functionality. Along the way, they will enhance their analytical, leadership, and presentation skills while collaborating closely with diverse functional teams across PayPal. Key Responsibilities * Conduct deep-dive analyses on key business trends from multiple angles, delivering insights in clear, actionable presentations. * Design visually engaging data outputs that are intuitive for end-users to explore and understand. * Define critical metrics and develop executive-facing dashboards to monitor business performance and track progress on high-priority initiatives. * Identify key business levers, establish cause-and-effect relationships, and effectively communicate insights to stakeholders to drive data-informed decisions. * Collaborate with teams across Risk, Product, Marketing, and others to analyze performance trends, identify root causes, and solve complex challenges. * Facilitate new product launches by developing test-and-control plans and implementing continuous monitoring to assess product performance. * Build strong relationships with stakeholders, proactively anticipating and addressing potential executive inquiries. Basic Requirements: * Bachelor's or Master's degree, and a PhD in a quantitative field (e.g., Analytics, Statistics, Mathematics, Economics, Engineering) or equivalent industry experience. * 2-4 plus years of professional experience in an analytical role, with proven success managing teams of analysts or data scientists. * Proficiency in databases, spreadsheets, and statistical tools, with advanced skills in SQL, data mining, and BigQuery analytics (Google Cloud). * Extensive experience in experimentation, including designing, executing, and analyzing product or feature launches. * Expertise in synthesizing complex data into clear, actionable insights and narratives. * Experience working with large, multi-dimensional datasets and solving analytical challenges. * Familiarity with one or more tools such as Python, Tableau, Jupyter Notebooks, Teradata, Hadoop/Hive, SQL, and BigQuery is highly desirable. * Strong problem-solving abilities and the capability to deliver actionable recommendations based on analysis. * Advanced proficiency with reporting tools like Tableau and Excel for creating and sharing insights. * Industry experience in payments, eCommerce, or financial services is a plus. * Strong written and verbal communication skills with the ability to translate complex problems into simpler terms, and effectively influence both peers and senior leadership Additional Responsibilities & Preferred Qualifications: Subsidiary: PayPal Travel Percent: 0 * The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is: Primary Location | Pay Range: San Jose, California | ($143,500.00 - $212,850.00 Annually) Additional Location(s) | Pay Range: No other locations are assigned to this requisition currently. Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable. This role is also eligible for a range of benefits which may include, medical, dental, vision, life and disability insurance, parental and family leave, 401(k) savings plan, paid time off, and other benefits. For more information visit ******************************* PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit ************************************ For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we're committed to building an equitable and inclusive global economy. And we can't do this without our most important asset-you. That's why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit ******************************* Who We Are: Click Here to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at ****************************************. Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.

Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Opportunity: The Sr Data Scientist, Risk will offer a strategic perspective, deep analytical and modeling capabilities, and a collaborative working style. The right candidate will have strong intellectual curiosity and passion for achieving business results. An ability to quickly define the problem, research and leverage state-of-the-art modeling techniques, and provide timely recommendations will be essential. Key skills will include a strong analytical mindset, deep understanding of most popular machine learning algorithms and lead key initiatives with integrity and a passion for investigations, problem solving, and troubleshooting. What You'll Be Doing: Identify complex fraud patterns and their technical root causes through detailed data mining and analysis, including identification of sophisticated fraud methods employed by actors who are deliberately trying to avoid detection. Serve as technical SME by sharing new data mining techniques, maintaining technical reference documentation, and interfacing with partner technology teams. Collaborate across business and technology stakeholders to communicate analytical findings to both technical and non-technical audiences. Provide technical guidance for engineering projects that incorporate new data points into the investigation team's toolkit, such as API integrations or internal data transformations. Link Analysis/Graph analytics to find and mitigate deeply-connected fraud networks and detect new accounts being added to these networks Unsupervised learning methods to augment existing supervised models, or detect portfolio anomalies Development of machine learning models Partner with product and engineering team in implementing features and models, and enhancing systems What We Look For In You: Master's degree (or PhD) in Statistics, Mathematics, Operations Research, Computer Science, Economics, Engineering or other quantitative discipline. Bachelor's degree with significant relevant experience will be considered. 4+ years of fraud analytics experience in financial services or FinTechs Crypto/Blockchain experience Deep understanding of modern machine learning techniques / algorithms including GBM, XGBoost, LGBM, etc. Advanced programming skills of statistical / analytical software (SQL, R, Python,etc.); Successful track record of owning and driving large, complex data analysis projects. Demonstrated capacity for innovation and outside-the-box thinking in the creation of new capabilities and processes that are unstructured or exploratory in nature. Experience in a fast-paced startup environment with a strong level of initiative; and Ability and willingness to travel as needed. Strong communicator in both writing and speaking Multi-tasking and strong project management skills Nice to Haves: Hands-on experience/knowledge of modeling in machine learning (GBM, XGBoost, Random Forest, etc.); and Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement: The salary range for this position is $223,661.00 to $268,333.00. The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via Okcoin and OKX internal or external careers site. OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. #LI-HYBRID#LI-ED1 Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX's Candidate Privacy Notice.

About RDC.AI What started in 2016 with five people and two chairs has become a global force transforming how banks lend, grow, and protect their portfolios. RDC.AI helps business and commercial bankers know more, do more, and grow more by turning complex data into actionable intelligence. Our platform uniquely combines predictive and agentic AI to deliver transparent, explainable insights across the entire lending lifecycle from origination to monitoring. With built-in AI assistants and clear rationales for every recommendation, we empower banks across the globe to make confident decisions faster, launch innovative products, and generate tens of millions of dollars in measurable value. We're not just building AI - we're pioneering the future of intelligent banking, where every decision is explainable, every insight is actionable, and every outcome drives real impact. Join the AI Revolution Award-Winning Innovation Winner: The Digital Banker's 2025 Global AI Innovation Awards (Best AI-Powered Platform) Two-time finalist: American Chamber of Commerce Alliance Awards (Advanced Capabilities category) Cutting-Edge Technology Building agentic AI solutions that solve real world banking problems We are live in major banks, making millions of decisions, generating tens of millions in value Highest security accreditations: SOC2 Type 2 and ISO 27001 certified 5-Star Employer Experience Named "Best Companies to Work For" by HRD Australia (2023) High-performance teams working alongside industry-leading data scientists and credit experts Vibrant, innovative culture that celebrates wins and solves complex problems together Global Impact & Growth Fast-expanding presence across Australia, New Zealand, and North America Helping drive financial inclusion through fair, accessible, sustainable credit Opportunity to gain AI expertise and international experience in a rapidly growing market Work-Life Excellence Flexible working arrangements - work how's right for you Collaborative, agile environment where your contributions matter Be part of a mission that's transforming financial services globally RDC.AI North America offers: Competitive benefits package (80% of premiums paid by RDC.ai) 12 paid holidays 20 days PTO per year + 5 paid personal or sick days per year Paid Maternity/Paternity leave Ready to shape the future of intelligent banking? Join us. About the Role RDC.AI is a cloud native AI Decisioning company and the Data Science function is key to our organizational success. As we look to expand in North America, we are looking for a Senior Data Scientist to join our North America team. A Sr Data Scientist will work closely with our customers on developing AI/ML based solutions to solve complex credit-based decisions in the Business and Commercial lending space. Key responsibilities will include: Design, present & document AI-based initiatives to our clients, typically banking and risk executives. Develop use cases for clients with clear objectives and success criteria, matching our AI platform capabilities and client needs. Assist in developing data processing solutions and machine learning models to address the business objectives of our clients using RDC.AI platform. Assist in developing AI/ML based solutions to be deployed on the RDC.AI platform for clients across use cases in Business and Commercial lending within North America Help mentor and train junior data scientists on RDC.AI methodologies, AI/ML best practices and credit risk modelling methodologies in the Business and Commercial lending space. About the Candidate Essential-Experience/Skills Bachelor's degree in in Statistics, Mathematics, Physics, Computer Science, or other Quantitative related degree. 5+ years of data science experience, ideally in credit risk or financial services. Experience developing and managing quantitative credit risk models including credit decisioning models. Programming experience in Python for 3+ years. Programming in SQL for 1+ years. Knowledge of data discovery, statistics, and data-driven model discovery, development, and validation, and tracking. Ability to learn and adapt to new or emerging modeling techniques (e.g., LLM, GenAI, LSTM, etc.) Experience presenting to technical, and non-technical stakeholders, including senior leadership. Excellent communication and client engagement skills. Ability to travel within North America (estimated 25% travel). Desired-Experience/Skills Advanced degree in Statistics, Mathematics, Physics, Computer Science, or other Quantitative related degree. Experience with commercial and/or business lending. Experience working with traditional and non-traditional data sources such as transaction, accounting, and e-commerce data. Understanding the decision-making process behind the lending process. Experience in credit risk analysis, strategy design, and monitoring. Experience with additional programming languages is nice-to-have (e.g., Java, Scala, R, SAS, Perl, etc.)

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 Join Adobe as a Sr Data Science Engineer and be part of a team that is crafting the future of digital experiences. This is your chance to work on brand new projects that impact millions of users worldwide. At Adobe, you will collaborate with exceptionally dedicated colleagues, drive ambitious projects, and contribute to crafting flawless solutions. If you are passionate about data science and eager to make a significant impact, this is the role for you! What you'll Do * Develop and implement models to solve complex problems * Collaborate with cross-functional teams to determine project requirements and deliverables * Use proven methodologies to ensure data accuracy and model reliability * Compete in a dynamic environment to successfully implement innovative solutions * Analyze and interpret large datasets to provide actionable insights * Lead initiatives to improve the performance and scalability of our data platforms What you need to succeed * Degree or equivalent experience with 5+ years of practical experience * Strong expertise in statistical analysis, machine learning, and data mining * Proficiency in programming languages such as Python, R, or Scala * Experience with big data technologies like Hadoop, Spark, or Kafka * Ability to strictly adhere to deadlines while maintaining high-quality standards * Excellent communication skills and a collaborative approach 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 **************.

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 looking for a Staff Data Scientist to drive Sales and Go-to-Market (GTM) analytics, applying advanced modeling and experimentation to accelerate revenue growth and optimize the full sales funnel. About the Role As the senior data scientist supporting Sales and GTM, you will combine statistical modeling, experimentation, and advanced analytics to inform strategy and guide decision-making across our revenue organization. Your work will help leadership understand pipeline health, predict outcomes, and identify the levers that unlock sustainable growth. Key Responsibilities Model the Business: Build forecasting and propensity models for pipeline generation, conversion rates, and revenue projections. Optimize the Sales Funnel: Analyze lead scoring, opportunity progression, and deal velocity to recommend improvements in acquisition, qualification, and close rates. Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of pricing, incentives, and campaign initiatives. Advanced Analytics for GTM: Apply machine learning and statistical techniques to segment accounts, predict churn/expansion, and identify high-value prospects. Cross-Functional Partnership: Work closely with Sales, Marketing, RevOps, and Product to influence GTM strategy and ensure data-driven decisions. Data Infrastructure Collaboration: Partner with Analytics Engineering to define data requirements, ensure data quality, and enable self-serve reporting. Strategic Insights: Present findings to executive leadership, translating complex analyses into actionable recommendations. About You Experience: 6+ years in data science or advanced analytics roles, with significant time spent in B2B SaaS or developer tools environments. Technical Depth: Expert in SQL and proficient in Python or R for statistical modeling, forecasting, and machine learning. Domain Knowledge: Strong understanding of sales analytics, revenue operations, and product-led growth (PLG) motions. Analytical Rigor: Skilled in experimentation design, causal inference, and building predictive models that influence GTM strategy. Communication: Exceptional ability to tell a clear story with data and influence senior stakeholders across technical and business teams. Business Impact: Proven record of driving measurable improvements in pipeline efficiency, conversion rates, or revenue outcomes.

A global consulting firm is seeking an experienced Senior Manager in Data Architecture to oversee innovative technology projects in the Power & Utilities sector. The ideal candidate should possess strong skills in data architecture, data modernization, and experience in consulting environments. Responsibilities include managing timelines, costs, and quality for driven outcomes while working with cross-functional teams to enhance client engagements. This position is crucial for driving data strategy and ensuring high-profile project deliveries while fostering client trust. #J-18808-Ljbffr

About Team The Product Data Analytics Team analyzes a combination of product usage and product performance data to derive meaningful insights that would serve as a guide to better product and decision making for our business leaders. As a member of the data science team, you will work with diverse and highly collaborative teams of product managers, engineers, and other data analysts to drive product impact. You will be working on exciting and challenging projects, and convert the insights into real changes, for both new initiatives and scaled products. You are a self-starter who is excited about data, excels in product logic thinking, clear communication, and brings distinctive problem-solving skills and impeccable quantitative modeling experience. As a Data Scientist, you will be working on designing and monitoring core metrics, identifying the root causes for metric movements through deep dive into the models. The role will cover a wide range of model-driven solutions to deliver superior business outcomes through research and analyses. In particular, this role will leverage the causal structure of user behavior, identify trends and opportunities for user growth and great ecosystem, and guide the product team to make best decisions. Responsibilities * Leverage data to solve challenging business problems from full-spectrum of product and business lines, using analytical and statistical approaches. * Build and improve applicable statistical models, e.g. LTV and ROI prediction, to guide user growth-related decisions. * Initiate model-driven analysis to provide deep insights into various products. Catch the common rule of problems and establish the inter-product analytic paradigm. * Work with Product, Operations, Engineering and cross-functional teams to drive product development through analytic, statistical, and algorithmic expertise * Design, run and analyze A/B experiments to inform and execute the product strategy, and ultimately improve the product and support business decisions.Minimum Qualifications * Bachelor's or a Master's degree in a quantitative discipline (e.g. Statistics, Operations Research, Computational Biology, Computer Science, Mathematics, Economics,). * 3+ years of experience in statistical modeling (Regression, Classification, Clustering, etc.) and machine learning (deep learning) , and experience in user level modeling * Ability to conduct rigorous analysis and communicate conclusions to both technical and non-technical audiences * Proficiency in SQL, Python/R Preferred Qualifications * Solid communication and collaboration skills with the ability to work effectively with internal teams in a diversified environment * Passion for the Internet industry and data analysis. * Self-starter with the ability of acquiring an in-depth understanding of the relation between data and user experience/product growth. #LI-Hybrid

At Apple, our Services help hundreds of millions of people get the most from the devices they love-whether through award-winning shows and movies, music in spatial audio, engaging workouts and meditations, amazing apps, or fun games. The Apple Media Products Data Science u0026 Analytics team is dedicated to uncovering meaningful insights and building data-powered solutions that enhance our services and support business growth-while honoring Apple's deep commitment to user privacy. We are seeking a Senior Marketing Data Scientist to help evolve our marketing strategies across Apple Services through the use of attribution, causal inference, testing, and predictive modeling. You'll play a pivotal role in understanding and improving how we engage customers, working with large-scale data in collaboration with partners across Business, Marketing, Product, and Engineering. This is a unique opportunity to influence the future of marketing at Apple through innovative, customer-first approaches-and to do it in a supportive, growth-minded environment that values diverse perspectives and inclusive collaboration. Collaborate with cross-functional teams (Business, Engineering, Product, and Marketing) to define key metrics, data requirements, and models for analysis, experimentation, and reporting. Investigate large-scale datasets to identify trends, measure impact, and generate insights that improve marketing strategies. Develop attribution methodologies and frameworks to assess the effectiveness of campaigns across channels. Design and build datasets, reports, and dashboards to monitor campaign and channel performance at scale. Conduct ad-hoc analyses to support major initiatives and campaigns. Help shape marketing campaign touchpoints and customer journey strategies to deepen engagement. Build predictive models, including LTV and propensity models, to support campaign optimization and audience targeting. Evaluate the incremental impact of marketing efforts using causal inference and testing methodologies. Explore how emerging technologies, such as generative AI, can be applied to create business value. Communicate insights and strategic recommendations to Marketing, Business, Finance, and Executive stakeholders. Partner with teams across Apple to support responsible data collection, governance, and access. Experience in a digital subscription or large-scale e-commerce business. Deep understanding of marketing effectiveness measurement, particularly through causal inference methods. Master's or Ph.D. in a quantitative field is a plus, but not required 8+ years of experience as a Data Scientist or Analyst in marketing, media, subscription, or tech environments, with a proven track record of campaign measurement and optimization. Strong proficiency in SQL and at least one programming language such as Python or R; experienced in building analytical datasets and pipelines using large-scale structured and unstructured data. Applied expertise in statistical and experimental techniques including A/B testing, regression, clustering, survival analysis, and causal inference. Demonstrated ability to translate complex data into clear, actionable business insights for cross-functional stakeholders. Bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Economics) or equivalent professional experience.

About The Team Internal Audit is a global function responsible for providing independent assurance and evaluating the company's risk management, governance and internal control processes to determine if they are designed and operating effectively. The Internal Audit team plans and executes audit projects according to our risk-based audit plan by evaluating financial, compliance, operational, and IT processes and controls. We work with business functions in addressing risks and improving the control environment through timely and comprehensive audit work and tracking of remediation actions until completion. We are looking for data scientists and AI developers who will power our mission by building data products that enable and empower continuous auditing and the identification and discovery of risks throughout various verticals. You will be deploying your engineering, data analytics and data science skills to be part of the mission to build state-of-the-art analytics products for the audit team. Responsibilities - Proficiency in frameworks for auditing models, including criteria like robustness, fairness, interpretability, alignment, and compliance. Familiarity with emerging LLM auditing methodologies such as LLMAuditor (probe generation/answering cycles, human-in-the-loop assessments). - Model Evaluation & Audit Frameworks: conduct audits on the model lifecycle from training through deployment and monitoring, ensuring compliance with quality, performance, fairness, and risk-management standards. - Risk Identification & Mitigation: Identify model vulnerabilities including bias, fairness violations, harmful hallucinations, security risks, and recommend remediation strategies. - Measurement Metrics & Statistical Validation: Define and assess model performance metrics (accuracy, precision/recall, F1, calibration, robustness, fairness metrics), measurement of hallucination rates in LLMs, bias/fairness quantification, confidence scoring, and stability analyses. - Communication & Collaboration: Develop and maintain collaborative working relationships with stakeholders, including data partners and owners across different business verticals. Clearly communicate technical findings, risk assessments, and recommendations to technical and non-technical stakeholders. - Data Analytics Services: Partner with auditors to provide data support and guidance for audit engagements, including conducting interviews, observing systems and operations, developing queries and testing strategies, deploying data quality checks to ensure completeness and accuracy for data sets, and deriving insights. - Data Warehousing: develop and maintain data warehouses across different business verticals to efficiently support audit engagements; implement data quality checks for key data assets and continuously collaborate with data partners to maintain completeness and accuracy of these assets. - Automation and self-service analytics: partner with auditors to identify and analyze key risk indicators, contribute to a continuous auditing data strategy that will translate into various use cases and corresponding data solutions that can automate the evaluation of the design and effectiveness of controls; build and maintain ETL data pipelines, as well as dashboards to support the solutions. - AI-Driven Automation and Insights: Leverage machine learning and AI to automate business and audit processes, surface insights from unstructured and structured data, and extend the team's ability to deliver actionable recommendations at scale. Develop, train, and implement proprietary machine learning and AI models, to scale up audit testing insights. - Professional Development: Continue to develop and expand knowledge in data analytics practices, machine learning, AI, and ByteDance products through continuous education. Provide data training to empower the audit team to derive insights. Minimum Qualifications - Bachelor's degree in a quantitative discipline, such as Mathematics, Statistics, Computer Science, Financial Engineering, Operations Research, or Economics. - Minimum of 5 years professional experience in applied data science, machine learning engineering, or AI research, specifically working with LLMs and traditional ML models and at least 5 years practical experience of data science or analytics from the technology sector, including but not limited to B2C SaaS, media tech, e-commerce, social media platforms, fintech etc. - Hands-on experience in designing, deploying, and monitoring large-scale ML models with thorough understanding of lifecycle risks and controls plus strong proficiency in SQL and Python (including libraries such as Hugging Face Transformers, TensorFlow, PyTorch, scikit-learn), data analysis tools, and ML pipeline orchestration platforms. - Expertise in defining and assessing model performance metrics (accuracy, precision/recall, F1, calibration, robustness, fairness metrics), measurement of hallucination rates in LLMs, bias/fairness quantification, confidence scoring, and stability analyses. - Extensive knowledge of transformer-based LLM architectures (e.g., GPT, BERT, T5, PaLM) and classical ML algorithms (e.g., regression, tree-based methods, neural networks). - Working knowledge of classical ML algorithms and LLM architecture and deep technical expertise in LLMs and Traditional ML and a proven track record supporting or performing AI/ML model audits or evaluations within a corporate, regulatory, or advisory context. - High oral, written, reading and listening proficiency in Mandarin is required due to system use, technical documents and frequent communication with Chinese stakeholders. Preferred Qualifications - PHD degree in a quantitative discipline, such as Mathematics, Statistics, Computer Science, Financial Engineering, Operations Research, or Economics. - Proficiency in frameworks for auditing models, including criteria like robustness, fairness, interpretability, alignment, and compliance. Familiarity with emerging LLM auditing methodologies such as LLM Auditor (probe generation/answering cycles, human-in-the-loop assessments). - Ability to analyze model design, training methods, data pipelines, and inference behaviors. - Capability to identify model vulnerabilities including bias, fairness violations, harmful hallucinations, security risks, and to recommend remediation strategies. - Experience building and maintaining data analytics solutions for continuous audit programs, including automating common analyses and recurring checks plus the ability to clearly communicate technical findings, risk assessments, and recommendations to technical and non-technical stakeholders. - Experience with data integration, ETL processes, and large-scale data processing systems plus working knowledge of cloud-based infrastructure such as AWS, GCP, Azure or Snowflake; working knowledge of large scale data processing techniques, such as Hadoop, Flink and MapReduce and a good understanding of data warehouse and data modeling principles. - Front end and back end software development skills.

Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity As a Senior Data Scientist in our Compliance Technology & Data Strategy function, you will play a key role in shaping our approach to governance, independent validation, and continuous improvement of our financial crime compliance (FCC) systems and data platforms. You will lead the design, testing, validation, and monitoring of advanced models and data pipelines that support our transaction monitoring (TM), customer risk rating (CRR), and watchlist screening engines across both fiat and crypto ecosystems. You will work hands-on with large, complex datasets, building and validating rule-based and ML-enhanced models, developing new typology detection logic, and ensuring our systems remain robust and defensible in an evolving regulatory landscape. This is a highly technical, cross-functional role requiring strong programming, data engineering, and advanced analytics skills, along with an understanding of FCC domain risks. You'll partner closely with Compliance, Product, Engineering, and Risk teams to modernize our compliance technology stack, drive improvements in data pipelines and model explainability, and integrate cutting-edge blockchain intelligence and cross-chain analytics tools. Your work will directly impact our ability to detect and mitigate financial crime risks, meet regulatory expectations, and deliver trusted insights across our global operations. What You'll Be Doing Design, test, and independently validate rule-based and machine learning models for transaction monitoring, customer risk scoring, sanctions and watchlist screening, and typology detection for both fiat and crypto transactions Build and optimize scalable data pipelines integrating blockchain analytics, on-chain and off-chain transaction data, and third-party intelligence tools to enhance risk detection Develop and execute robust testing strategies to assess model fitness, typology coverage, Type I and Type II error rates, and regulatory defensibility Design strategies to automate monitoring frameworks for model performance, data quality, and risk typology drift; implement advanced analytics to detect anomalies and continuously tune models Lead the development and execution of comprehensive metrics and data reporting frameworks, ensuring the accuracy, consistency, and timeliness of key risk indicators, model performance metrics, and regulatory reporting requirements across all FCC models Build reproducible and production-ready notebooks, scripts, and workflows following best practices in version control, code testing, and documentation Leverage advanced anomaly detection techniques, clustering, and graph analytics to identify emerging financial crime typologies across large multi-source datasets Conduct deep-dive data investigations, develop new detection typologies, and translate FCC risk scenarios into effective, explainable models and analytics Partner with Product and Engineering to drive enhancements to compliance data architecture, including streaming pipelines, data integrations, and advanced analytics capabilities Lead remediation of data quality and model coverage gaps by executing data audits and root cause analysis; maintain thorough documentation and audit trails for regulatory readiness Deploy containerized data science workflows and collaborate with engineering teams to integrate models seamlessly into production environments (e.g., using Docker, Kubernetes, or cloud pipelines) Contribute to developing reusable data science tools, libraries, or model templates that improve the speed and consistency of future compliance analytics work Stay current on regulatory expectations and industry best practices for model governance, validation, and development (NYDFS, FATF, HKMA, MAS, FCA, etc.) Produce clear, actionable reports and data visualizations to communicate findings to technical and non-technical stakeholders Proactively research and experiment with new open-source tools and techniques that could enhance our FCC model governance and analytics capability What We Look For In You 7+ years of hands-on experience in data science, machine learning, or advanced analytics, ideally in the FCC, AML, KYC, or fraud detection domain Proven experience building and validating data models using programming languages such as Python, SQL, Java, R, or similar Strong skills in data engineering, large-scale data pipelines, ETL/ELT processes, and streaming analytics (Spark, Kafka, Snowflake, or equivalent) Familiarity with blockchain analytics tools (e.g., Chainalysis, TRM Labs, Elliptic) and understanding of on-chain transaction monitoring is highly desirable Experience with building, tuning, and monitoring rule-based and ML models for financial crime detection, risk scoring, or sanctions screening Solid background in building and maintaining scalable data pipelines, streaming analytics, and working with large, complex datasets Experience deploying models into production environments, working with containerization (e.g., Docker, Kubernetes) and cloud data tools Solid understanding of typology detection, false positive/negative tuning, and regulatory model validation expectations Strong background in data visualization and reporting using BI tools (Tableau, Looker, Power BI, or similar) Excellent communication skills to present complex technical findings and recommendations to diverse stakeholders Proven ability to work independently in a fast-paced, cross-functional environment Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $143,000- $214,000 (this band is applicable to CA/NY/NJ residents and is adjusted for all other US states) The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. #LI-JC4 Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX's Candidate Privacy Notice.

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 Data Science team is seeking a dedicated Data Science Engineer. This role provides an outstanding opportunity to work with exceptionally skilled professionals and influence our sales strategy directly. You will be instrumental in driving business growth by successfully implementing data-driven models that identify and size potential opportunities. You will partner with senior partners and team members to explore various data sources, engineer compelling features, then build, test, and evaluate models to prove their efficacy. Your ability to communicate complex model features to business owners will be essential for encouraging confidence and enabling sellers to drive impactful customer conversations. This is a fast-paced environment that requires the ability to make tactical decisions quickly to balance methodologies with business priorities. What You Will Do Develop and own rSAM models to size headroom opportunities in the book of business for specific offerings and customer segments Carry out in-depth business analysis to uncover the drivers behind performance gaps and make recommendations for change Engage with senior collaborators to understand key growth areas and ensure solutions align with business priorities Assess and improve the performance of sales campaigns with performance insights and recommendations for model enhancements Support the customer segmentation process using rSAM and other insights Provide different models like customer segmentation based on clustering, customer lifetime value based on survival analysis, and forecasting Deliver channel segmentation to determine customer engagement strategy and optimize lifetime value Collaborate with data engineering teams to productionize data pipelines and drive scalable solutions Automate model refreshes and account prioritization processes Build propensity models to drive sales campaigns using predictive modelling techniques What You Will Bring 5+ years of SQL experience for querying, cleansing, integrating, and summarizing complex data is essential Experience with Databricks and Python is desirable Proven experience of building, testing, evaluating, and improving revenue-generating data science models Knowledge of propensity modeling techniques and other modeling techniques would be beneficial Proven experience translating complex analytics into understandable insights for senior collaborators is essential Strong problem-solving skills and experience in a fast-paced business environment with changing requirements 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 **************.

Team Intro: The Payment team of U.S. Data Security department of TikTok provides payment solutions - including payment acquisitions, disbursements, transaction monitoring, payment method management, foreign exchange conversion, accounting, reconciliations, and so on - to ensure that users have a smooth and secure payment experience on TikTok platform. This role is responsible for developing and executing on analytics and reporting initiatives which deliver data-driven insights to internal and external stakeholders, including strategy, operations, business, engineering, and R&D teams in both US and globally. You are playing a key role in empowering TikTok platform to achieve overall payment success by way of payment security. You will contribute to the development of industry-leading capabilities to protect TikTok and our users from emerging payment threats and ensure secure payment growth. You must be able to work both independently and as part of a team to deliver on a dynamic set of needs in a fast-paced environment. Responsibilities: * Work with large datasets to solve problems that could be ambiguous and nuanced using a variety of analytical and statistical approaches. * Conduct quantitative analysis using statistical regression, machine learning, as well as hypothesis testing and present analysis and recommendations in a user friendly manner to propel business growth and customer satisfaction. * Develop a scientific approach to measure KPI fluctuation, impact of business initiatives, and customer experience and design indexes for continuous monitoring. * Design and implement foundational tests including backtesting for measuring the effectiveness of credit risk strategy and segmenting user profile. * Create documentation articulating the sampling process, underlying assumptions, design of test, success metrics, and conclusion. * Have familiarity with best practices and pragmatic approaches for addressing common issues including data quality, seasonality, insufficient training dataset, etc. * Perform predictive analysis and support business partners with revenue and loss forecasts, budgeting, risk and incident management to proactively address foreseeable challenges. * Conduct deep dive analysis and diagnosis to identify patterns, concentrations, correlations, root causes to provide transparency into business and product performance. * Partner with Product, Strategy, Operations and cross-functional teams to inform, influence, support, and execute strategy and decisions. * Demonstrate understanding of common challenges facing TikTok business, key products, and the competitiveness of the marketplace.Minimum Qualifications: * 3+ years of progressive success in roles of increasing responsibility. * 3+ years working in data science, risk, machine learning, and A/B testing. * 3+ years of coding experience in Python, Hive, SQL and familiarity with machine learning functions, options, forecasting models. * 5+ years of experience with Tableau or other data visualization tools (e.g. Tableau). Preferred Qualifications: * Knowledge of the payments industry is highly desirable. * Risk analytics/operations, data science experience or similar quantitative business responsibility for financial services, eCommerce, or operational performance highly desirable. * Strongly skilled at manipulating and integrating data from a variety of sources. * Proficiency with test design, feature creation, model development, and documentation.

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 Join Adobe as a Sr Data Science Engineer and be part of a team that is crafting the future of digital experiences. This is your chance to work on brand new projects that impact millions of users worldwide. At Adobe, you will collaborate with exceptionally dedicated colleagues, drive ambitious projects, and contribute to crafting flawless solutions. If you are passionate about data science and eager to make a significant impact, this is the role for you! What you'll Do Develop and implement models to solve complex problems Collaborate with cross-functional teams to determine project requirements and deliverables Use proven methodologies to ensure data accuracy and model reliability Compete in a dynamic environment to successfully implement innovative solutions Analyze and interpret large datasets to provide actionable insights Lead initiatives to improve the performance and scalability of our data platforms What you need to succeed Degree or equivalent experience with 5+ years of practical experience Strong expertise in statistical analysis, machine learning, and data mining Proficiency in programming languages such as Python, R, or Scala Experience with big data technologies like Hadoop, Spark, or Kafka Ability to strictly adhere to deadlines while maintaining high-quality standards Excellent communication skills and a collaborative approach 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 **************.