Data science internship jobs in Lake Havasu City, AZ - 2,640 jobs

A leading global consulting firm seeks a Data Scientist - Director in San Francisco to drive AI solutions and data initiatives. The ideal candidate will lead multi-source data pipelines, architect complex data solutions while collaborating with business leaders. Candidates should have a strong educational background, extensive experience in data engineering, and proficiency with SQL and cloud-native infrastructure. This role offers a competitive salary range of $205,000 to $235,000 and promotes a hybrid working model. #J-18808-Ljbffr

A healthcare solutions company seeks an Analyst in San Francisco. You'll analyze healthcare data, build dashboards, and provide actionable insights to leadership. Ideal candidates have 2+ years in analytical roles and should be proficient in SQL and Excel. This position offers the chance to make a significant impact as the first analyst in a fast-paced environment, with opportunities for growth and innovation in consumer healthcare. #J-18808-Ljbffr

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

At Gilead, we're creating a healthier world for all people. For more than 35 years, we've tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer - working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead's team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together. Gilead's AI Research Center(ARC) is looking for a Principal Data Scientist to spearhead the adoption of AI/ML and transform our clinical development processes. This is a pivotal role where you will provide key thought leadership and drive our strategic vision for advanced analytics, with the goal of optimizing clinical trials, enhancing data-driven decision-making, and providing support for Real-World Evidence (RWE), Clinical Pharmacology, and Biomarkers initiatives. You will be a thought leader in applying AI/ML to real-world clinical challenges, taking deep involvement in all stages of technical development-from coding and configuring compute environments to model evaluation, review, and architecture design. You'll work closely with a variety of cross-functional teams, including architects, data engineers, and product managers, to scope, develop, and operationalize our AI-driven applications, with a specific focus on leveraging AI/ML to advance insights within RWE, Clinical Pharmacology, and Biomarkers. Responsibilities: Innovate and Strategize: Spearhead the strategic vision for leveraging AI/ML within clinical development. You'll partner with cross-functional leaders to identify high-impact opportunities and design innovative solutions that transform how we conduct trials and make data-driven decisions. Lead with Expertise: Guide the full lifecycle of machine learning models from initial concept to real-world application. This includes architecting scalable solutions, hands-on algorithm development, and ensuring models are rigorously evaluated and operationalized for use in RWE, Clinical Pharmacology, and Biomarkers. Mentor and Empower: Act as a force multiplier for our data science team. You'll coach and mentor senior and junior data scientists, fostering a culture of technical excellence and continuous learning. Translate and Execute: Serve as a bridge between technical teams and business stakeholders. You'll translate complex business challenges into precise data science problems and, in a product manager-like role, drive the development of these solutions from proof-of-concept to production. Drive Breakthroughs: Research and develop cutting-edge algorithms to solve critical challenges. This could involve using NLP for patient insights, computer vision for biomarker analysis, or predictive models to optimize trial logistics. You'll be at the forefront of applying these techniques in a biotech context. Build the Foundation: Design and implement the technical and process building blocks needed to scale our AI/ML capabilities. This includes working with IT partners to curate and operationalize the datasets essential for fueling our analytical pipelines. Influence and Advise: Interface directly with internal stakeholders, acting as a trusted advisor to help them understand the potential of advanced analytics and apply data-driven approaches to optimize clinical trial operations. Stay Ahead: Continuously monitor the landscape of machine learning and biopharmaceutical innovation. You'll ensure our team is leveraging the latest state-of-the-art techniques to maintain a competitive edge. Technical Skills: Advanced Model Development & Operationalization: Deep expertise in developing, deploying, and managing complex machine learning and deep learning algorithms at scale. This includes a profound understanding of model evaluation, scoring methodologies, and mitigation of model bias to ensure robust, ethical, and reliable outcomes. Data & Computational Proficiency: Fluent in Python or R and SQL, with hands-on experience in building and optimizing data pipelines for analytical and model development purposes. Cloud-Native AI/ML: Demonstrated experience with Cloud DevOps on AWS as it pertains to the entire data science lifecycle, from data ingestion to model serving and monitoring. Translational Research: Proven ability to translate foundational AI/ML research into functional, production-ready packages and applications that directly support strategic initiatives in areas like RWE, Clinical Pharmacology, and Biomarkers. Basic Qualifications: Doctorate and 5+ years of relevant experience OR Master's and 8+ years of relevant experience OR Bachelor's and 10+ years of relevant experience Preferred Qualifications: Ability to translate stakeholder needs into clear technical requirements, including those related to RWE, Clinical Pharmacology, and Biomarkers. Skill in scoping project requirements and developing timelines. Knowledge of product management principles. Experience with code management using Git. Strong technical documentation skills. Join us at the AI Research Center to shape the future of clinical development with groundbreaking AI/ML solutions, and contribute to advancements in RWE, Clinical Pharmacology, and Biomarkers! The salary range for this position is: Bay Area: $210,375.00 - $272,250.00.Other US Locations: $191,250.00 - $247,500.00. At Gilead, we're creating a healthier world for all people. For more than 35 years, we've tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer - working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead's team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together. Job Description Gilead's AI Research Center(ARC) is looking for a Principal Data Scientist to spearhead the adoption of AI/ML and transform our clinical development processes. This is a pivotal role where you will provide key thought leadership and drive our strategic vision for advanced analytics, with the goal of optimizing clinical trials, enhancing data-driven decision-making, and providing support for Real-World Evidence (RWE), Clinical Pharmacology, and Biomarkers initiatives. You will be a thought leader in applying AI/ML to real-world clinical challenges, taking deep involvement in all stages of technical development-from coding and configuring compute environments to model evaluation, review, and architecture design. You'll work closely with a variety of cross-functional teams, including architects, data engineers, and product managers, to scope, develop, and operationalize our AI-driven applications, with a specific focus on leveraging AI/ML to advance insights within RWE, Clinical Pharmacology, and Biomarkers. Responsibilities: Innovate and Strategize: Spearhead the strategic vision for leveraging AI/ML within clinical development. You'll partner with cross-functional leaders to identify high-impact opportunities and design innovative solutions that transform how we conduct trials and make data-driven decisions. Lead with Expertise: Guide the full lifecycle of machine learning models from initial concept to real-world application. This includes architecting scalable solutions, hands-on algorithm development, and ensuring models are rigorously evaluated and operationalized for use in RWE, Clinical Pharmacology, and Biomarkers. Mentor and Empower: Act as a force multiplier for our data science team. You'll coach and mentor senior and junior data scientists, fostering a culture of technical excellence and continuous learning. Translate and Execute: Serve as a bridge between technical teams and business stakeholders. You'll translate complex business challenges into precise data science problems and, in a product manager-like role, drive the development of these solutions from proof-of-concept to production. Drive Breakthroughs: Research and develop cutting-edge algorithms to solve critical challenges. This could involve using NLP for patient insights, computer vision for biomarker analysis, or predictive models to optimize trial logistics. You'll be at the forefront of applying these techniques in a biotech context. Build the Foundation: Design and implement the technical and process building blocks needed to scale our AI/ML capabilities. This includes working with IT partners to curate and operationalize the datasets essential for fueling our analytical pipelines. Influence and Advise: Interface directly with internal stakeholders, acting as a trusted advisor to help them understand the potential of advanced analytics and apply data-driven approaches to optimize clinical trial operations. Stay Ahead: Continuously monitor the landscape of machine learning and biopharmaceutical innovation. You'll ensure our team is leveraging the latest state-of-the-art techniques to maintain a competitive edge. Technical Skills: Advanced Model Development & Operationalization: Deep expertise in developing, deploying, and managing complex machine learning and deep learning algorithms at scale. This includes a profound understanding of model evaluation, scoring methodologies, and mitigation of model bias to ensure robust, ethical, and reliable outcomes. Data & Computational Proficiency: Fluent in Python or R and SQL, with hands-on experience in building and optimizing data pipelines for analytical and model development purposes. Cloud-Native AI/ML: Demonstrated experience with Cloud DevOps on AWS as it pertains to the entire data science lifecycle, from data ingestion to model serving and monitoring. Translational Research: Proven ability to translate foundational AI/ML research into functional, production-ready packages and applications that directly support strategic initiatives in areas like RWE, Clinical Pharmacology, and Biomarkers. Basic Qualifications: Doctorate and 5+ years of relevant experience OR Master's and 8+ years of relevant experience OR Bachelor's and 10+ years of relevant experience Preferred Qualifications: Ability to translate stakeholder needs into clear technical requirements, including those related to RWE, Clinical Pharmacology, and Biomarkers. Skill in scoping project requirements and developing timelines. Knowledge of product management principles. Experience with code management using Git. Strong technical documentation skills. Join us at the AI Research Center to shape the future of clinical development with groundbreaking AI/ML solutions, and contribute to advancements in RWE, Clinical Pharmacology, and Biomarkers! The salary range for this position is: Bay Area: $210,375.00 - $272,250.00.Other US Locations: $191,250.00 - $247,500.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. These considerations mean actual compensation will vary. This position may also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives (eligibility may vary based on role), paid time off, and a benefits package. Benefits include company-sponsored medical, dental, vision, and life insurance plans*. For additional benefits information, visit: ****************************************************************** * Eligible employees may participate in benefit plans, subject to the terms and conditions of the applicable plans. For jobs in the United States: Gilead Sciences Inc. is committed to providing equal employment opportunities to all employees and applicants for employment, and is dedicated to fostering an inclusive work environment comprised of diverse perspectives, backgrounds, and experiences. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, sex , age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job related characteristics or other prohibited grounds specified in applicable federal, state and local laws. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans' Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact ApplicantAccommodations@gilead.com for assistance. For more information about equal employment opportunity protections, please view the 'Know Your Rights' poster. NOTICE: EMPLOYEE POLYGRAPH PROTECTION ACT YOUR RIGHTS UNDER THE FAMILY AND MEDICAL LEAVE ACT PAY TRANSPARENCY NONDISCRIMINATION PROVISION Our environment respects individual differences and recognizes each employee as an integral member of our company. Our workforce reflects these values and celebrates the individuals who make up our growing team. Gilead provides a work environment free of harassment and prohibited conduct. We promote and support individual differences and diversity of thoughts and opinion. For Current Gilead Employees and Contractors: Please apply via the Internal Career Opportunities portal in Workday. Share: Job Requisition ID R0046852 Full Time/Part Time Full-Time Job Level Associate Director Click below to return to the Gilead Careers site Click below to see a list of upcoming events Click below to return to the Kite, a Gilead company Careers site #J-18808-Ljbffr

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.

Our client, a large wholesale, MGA, and specialty retail insurance platform is looking to bring on a Data Migration Analyst for a six month temp to hire role. This person will play a critical role in supporting the migration of data, systems, and processes during our transition to new platforms and technologies. The ideal candidate will have experience in the insurance industry, strong technical skills, and the ability to troubleshoot issues effectively. This is a hybrid role that must sit in either Berkeley Heights, NJ or Phoenix, AZ. Responsibilities: • Assist in the planning and execution of system migration projects. • Analyze existing data and ensure accurate and complete migration to new platforms. • Assist in planning and coordinating all phases of the migration process, including data mapping. • Collaborate with internal teams, including IT, operations, and client services, to support migration activities. • Identify potential risks and issues related to migration and work on mitigation strategies. • Perform data validation and quality checks to ensure data integrity throughout the migration process. • Provide end-user support for new systems and processes. • Report progress, issues, and results to Director Operations and stakeholders. • Support the testing of new systems and platforms to ensure they function as required post-migration. • Troubleshoot and resolve any issues that arise during the pre and post migration process. Requirements: • Bachelor's degree or equivalent work experience • 5+ years Operations Property Casualty insurance experience with a Wholesale Agency or MGA • Familiarity with insurance software systems and platforms such as: Vertafore, AIM, MGA Systems, NetRate or ImageRight. • Experience in the insurance industry, particularly in policy administration, claims processing, or underwriting. • Proven experience in data migration projects or IT system implementations. • Strong analytical and problem-solving skills, with a keen eye for detail. • Excellent communication and interpersonal skills. • Proficiency in Microsoft Office Suite (Excel, Word, PowerPoint) and data analysis tools. • Ability to work effectively both independently and as part of a team. • Strong organizational and time management skill If this sounds like you, please apply today!

Are you an experienced Data Scientist with a desire to excel? If so, then Talent Software Services may have the job for you! Our client is seeking an experienced Data Scientist to work at their company in Novato, CA. Client's Data Science is responsible for designing, capturing, analyzing, and presenting data that can drive key decisions for Clinical Development, Medical Affairs, and other business areas of Client. With a quality-by-design culture, Data Science builds quality data that is fit-for-purpose to support statistically sound investigation of critical scientific questions. The Data Science team develops solid analytics that are visually relevant and impactful in supporting key data-driven decisions across Client. The Data Management Science (DMS) group contributes to Data Science by providing complete, correct, and consistent analyzable data at data, data structure and documentation levels following international standards and GCP. The DMS Center of Risk Based Quality Management (RBQM) sub-function is responsible for the implementation of a comprehensive, cross-functional strategy to proactively manage quality risks for clinical trials. Starting at protocol development, the team collaborates to define critical-to-quality factors, design fit-for-purpose quality strategies, and enable ongoing oversight through centralized monitoring and data-driven risk management. The RBQM Data Scientist supports central monitoring and risk-based quality management (RBQM) for clinical trials. This role focuses on implementing and running pre-defined KRIs, QTLs, and other risk metrics using clinical data, with strong emphasis on SAS programming to deliver robust and scalable analytics across multiple studies. Primary Responsibilities/Accountabilities: The RBQM Data Scientist may perform a range of the following responsibilities, depending upon the study's complexity and the study's development stage: Implement and maintain pre-defined KRIs, QTLs, and triggers using robust SAS programs/macros across multiple clinical studies. Extract, transform, and integrate data from EDC systems (e.g., RAVE) and other clinical sources into analysis-ready SAS datasets. Run routine and ad-hoc RBQM/central monitoring outputs (tables, listings, data extracts, dashboard feeds) to support signal detection and study review. Perform QC and troubleshooting of SAS code; ensure outputs are accurate and efficient. Maintain clear technical documentation (specifications, validation records, change logs) for all RBQM programs and processes. Collaborate with Central Monitors, Central Statistical Monitors, Data Management, Biostatistics, and Study Operations to understand requirements and ensure correct implementation of RBQM metrics. Qualifications: PhD, MS, or BA/BS in statistics, biostatistics, computer science, data science, life science, or a related field. Relevant clinical development experience (programming, RBM/RBQM, Data Management), for example: PhD: 3+ years MS: 5+ years BA/BS: 8+ years Advanced SAS programming skills (hard requirement) in a clinical trials environment (Base SAS, Macro, SAS SQL; experience with large, complex clinical datasets). Hands-on experience working with clinical trial data.•Proficiency with Microsoft Word, Excel, and PowerPoint. Technical - Preferred / Strong Plus Experience with RAVE EDC. Awareness or working knowledge of CDISC, CDASH, SDTM standards. Exposure to R, Python, or JavaScript and/or clinical data visualization tools/platforms. Preferred: Knowledge of GCP, ICH, FDA guidance related to clinical trials and risk-based monitoring. Strong analytical and problem-solving skills; ability to interpret complex data and risk outputs. Effective communication and teamwork skills; comfortable collaborating with cross-functional, global teams. Ability to manage multiple programming tasks and deliver high-quality work in a fast-paced environment.

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose - to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description With data being the fuel that drives our future - our strategies, policies and business successes around data will define our future growth prospects.Unlocking the value available through the innovative use of data on behalf of consumers,businessesand communities is key to our future.With our ongoing commitment to Visa's Data Values and the responsible use of data, we at Visa have a bold vision to continue to grow and accelerate our data-related businesses and capabilities. Led by Visa's Chief Data Officer, the Global Data Office coordinates high-impact, complex, company-wide projects related to data business strategy, critical investments, policydevelopmentand marketplace execution. Working closely with Visa's Chief Privacy Officer, the Technology organization, the wider datacommunityand the full set of Visa's global lines of business, the Global Data Office is evolving Visa's data-related work with momentum and enthusiasm.Driven by its commitment to trusted use of data, Visa is seeking enthusiastic leaders who are change-agents and passionate about the future of data around the world. We are seeking aProduct Analystto work on merchant data platform initiatives globally.You will work closely with product managers and engineering teams to manage GenAI/MLdatainitiatives, analyze merchant and transaction data to improvedata quality across Visa's merchant platform and distill merchant data and stakeholder feedback into meaningful roadmap, productprogramsand merchant stakeholder experiences.You willutilizeyour analyticalskills and effectivecommunication abilities todirectlyimpactemergingagentic commerce initiatives that rely on Visa's merchant data. Essential Functions Work and manage our support team to resolvestakholderconcerns and evolve our current support processes Help to streamline how Merchant Product Managementcollaborates with Visa business groupsthatulitizemerchant data products Gather and implement feedback and recommendations for howwe can improve ourdata quality, datapartnershipsand stakeholder consumption of merchant data Provide strategic direction and thought leadership and a vision for ourprogram initiatives, definingworld-classmerchantsupport Understand core elements of our operations and product strategy, and drive innovative and scalable opportunities across quality of experience, scale, instrumentation andcontributetothe MDP productroadmap Provide program and project management support for major platform, product, andtool driven change initiatives Develop departmental procedures and best practices standards Develop expert knowledge on the features and business applications of our products Proactively review user trends to make recommendations for improvement of current processes,policiesand tools Identifyand analyze sources of risk within our platform This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Relocation assistance is not provided for this role. Qualifications Basic Qualifications 2 or more years of work experience with a Bachelor's Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD) Preferred Qualifications 3 or more years of work experience with a Bachelor's Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) Additional Information Work Authorization:Permanent Authorization to work in the U.S. is a precondition of employment for this position. Visa will not sponsor applicants for work visas in connection with this position. Work Hours: Varies upon the needs of the department. Travel Requirements: This position requires travel5-10% of the time. Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code. U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 123,000.00 to 173,950.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Join us for an exciting career with the leading provider of supplemental benefits! Our Promise Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards. The Financial Data Analyst serves as a critical liaison between the accounting, finance, and data management teams supporting access to the company's financial data from its various systems. This role leverages SQL, reporting tools and strong analytical skills to extract, validate and reconcile financial information from various systems. As the Financial Data Analyst, you play a key role in supporting the Accounting and Finance teams through data extraction, reconciliation, and analysis to ensure the accuracy and integrity of financial reporting. This position combines financial acumen with strong data management and analytical skills to streamline financial processes, enhance reporting capabilities, and provide insights that support strategic decision-making in the organization. The Financial Data Analyst is a business partner for multiple stakeholders and reports directly to the Corporate Controller. This position is responsible for supporting the financial operations of the Company through enhancement of financial transparency and operational efficiency by automating reports, identifying discrepancies and providing data driven insights that support decision making. This role will assist the team in maintaining accurate financial records, annual audits, state and client deliverables, and adherence to GAAP and Statutory Financial Statement Accounting Standards. The Financial Data Analyst will participate in key projects as assigned. Competencies: - Functional: Financial Data Management & Reporting Extract, validate, and manage large volumes of financial and operational data from multiple systems (e.g., general ledger, claims, policy administration, and billing platforms) Support the Accounting team in month-end and year-end closing activities through data reconciliation and variance and trending analysis. Develop and automate financial reporting dashboards and reports to improve visibility into revenue, claims costs, reserves, and administrative expenses Reconcile and validate data between accounting and operational systems to ensure consistency and accuracy in financial statements as needed Collaborate with accounting and finance teams to identify and correct discrepancies or data anomalies in key reports Data Analysis & Insights Analyze financial metrics such as loss ratios, medical cost ratios (MLR), premium revenues, and claims reserves Develop and maintain financial models and data visualizations that support management reporting and compliance requirements Provide ad-hoc financial analysis to support audit preparation, budgeting, and strategic planning Identify opportunities to automate manual accounting and reporting processes through advanced analytics tools Collaboration & Cross-Functional Support Partner with IT, Finance, and Accounting to enhance data integration across systems (ERP, claims, policy management, etc.) Support the implementation of data governance standards to ensure consistent data definitions and reporting accuracy focused on financial data flowing into the general ledger Work with auditors, compliance officers, and regulatory reporting teams to provide accurate, timely data extracts and documentation as applicable. Assist in preparing regulatory and management reports related to claims costs, medical loss ratios, and other financial metrics as assigned. Core: Familiarity with accounting principles (GAAP) and financial statement preparation Proficiency in SQL for data extraction and analysis Advanced Excel skills (macros, logical functions, arrays, nested formulas, power query, power pivot) Proficiency with BI tools (Power BI, Tableau, or Looker) for reporting and visualization Understanding of healthcare/insurance regulatory compliance. Experience with policy administration and claims systems in the insurance industry Excellent analytical, organizational, and communication skills with the ability to present complex data in clear actionable terms. Ability to work collaboratively across departments and levels of the organization. Behavioral: Collegiality: building strong relationships on company-wide, approachable, and helpful, ability to mentor and support team growth. Initiative: readiness to lead or take action to achieve goals. Communicative: ability to relay issues, concepts, and ideas to others easily orally and in writing. Member-focused: going above and beyond to make our members feel seen, valued, and appreciated. Detail-oriented and thorough: managing and completing details of assignments without too much oversight. Flexible and responsive: managing new demands, changes, and situations. Critical Thinking: effectively troubleshoot complex issues, problem solve and multi-task. Integrity & responsibility: acting with a clear sense of ownership for actions, decisions and to keep information confidential when required. Collaborative: ability to represent your own interests while being fair to those representing other or competing ideas in search of a workable solution for all parties. Minimum Qualifications: Education: Bachelor's degree in Computer Science, Business Analytics, Economics, Data Science or a related field. Experience: 3 to 5 years of experience in financial data analytics. Experience: 2 years SQL query writing for data extraction and analysis Advanced Excel skills As this role is a remote role, you are required to maintain internet service that allows you to complete your essential job duties without issue. Rates of 50 Mbps download and 25 Mbps upload while hardwired and not on a VPN are sufficient. Preferred Qualifications: Experience with healthcare insurance data (claims, premiums, reserves, or member data) Experience with Smartsheet Experience with Microsoft Power BI Knowledge of the insurance or financial services industries highly desired. Six Sigma green belt training. At Avsis, we strive to design equitable, and competitive compensation programs. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current pay ranges for new hires in each zone are: Zone A: $67,490.00-$112,490.00 Zone B: $73,550.00-$122,580.00 Zone C: $79,190.00-$131,990.00 FLSA Status: Salary/Exempt This role may also be eligible for benefits, bonuses, and commission. Please visit Avesis Pay Zones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. We Offer Meaningful and challenging work opportunities to accelerate innovation in a secure and compliant way. Competitive compensation package. Excellent medical, dental, supplemental health, life and vision coverage for you and your dependents with no wait period. Life and disability insurance. A great 401(k) with company match. Tuition assistance, paid parental leave and backup family care. Dynamic, modern work environments that promote collaboration and creativity to develop and empower talent. Flexible time off, dress code, and work location policies to balance your work and life in the ways that suit you best. Employee Resource Groups that advocate for inclusion and diversity in all that we do. Social responsibility in all aspects of our work. We volunteer within our local communities, create educational alliances with colleges, drive a variety of initiatives in sustainability. How To Stay Safe Avsis is aware of fraudulent activity by individuals falsely representing themselves as Avsis recruiters. In some instances, these individuals may even contact applicants with a job offer letter, ask applicants to make purchases (i.e., a laptop or gift cards) from a designated vendor, have applicants fill out W-2 forms, or ask that applicants ship or send packages of goods to the company. Avsis would never make such requests to applicants at any time throughout our job application process. We also would never ask applicants for personal information, such as passport numbers, bank account numbers, or social security numbers, during our process. Our recruitment process takes place by phone and via trusted business communication platform (i.e., Zoom, Webex, Microsoft Teams, etc.). Any emails from Avsis recruiters will come from a verified email address ending in @ Avsiscom. We urge all applicants to exercise caution. If something feels off about your interactions, we encourage you to suspend or cease communications. If you are unsure of the legitimacy of a communication you have received, please reach out to . To learn more about protecting yourself from fraudulent activity, please refer to this article link (articles/how-avoid-scam). If you believe you were a victim of fraudulent activity, please contact your local authorities or file a complaint (Link: #/) with the Federal Trade Commission. Avsis is not responsible for any claims, losses, damages, or expenses resulting from unaffiliated individuals of the company or their fraudulent activity. Equal Employment Opportunity At Avsis, We See You. We celebrate differences and are building a culture of inclusivity and diversity. We are proud to be an Equal Employment Opportunity employer that considers all qualified applicants and does not discriminate against any person based on ancestry, age, citizenship, color, creed, disability, familial status, gender, gender expression, gender identity, marital status, military or veteran status, national origin, race, religion, sexual orientation, or any other characteristic. At Avsis, we believe that, to operate at the peak of excellence, our workforce needs to represent a rich mixture of diverse people, all focused on providing a world-class experience for our clients. We focus on recruiting, training and retaining those individuals that share similar goals. Come Dare to be Different at Avsis, where We See You!

At Pacira, innovation meets purpose. Pacira BioSciences, Inc. is a pioneer in non-opioid pain management and regenerative health solutions. Today, we're building on that legacy with next-generation innovations for chronic, postsurgical, and musculoskeletal pain. Our culture is built on collaboration, innovation, and a shared commitment to helping patients recover faster. We are redefining what's possible in pain management-and we can't do it without talented people like you. Why Join Us? At Pacira, every career is more than a job. Our mission drives us, and every day, we challenge ourselves to achieve the extraordinary. Integrity is at the core of who we are. We value diverse perspectives and the collective strength of a unified team. Join the team in making better possible for patients everywhere. Internship Position: Marketing Intern Duration: 9 weeks Compensation: $20 per hour, 30 - 35 hours per week Position Summary: We are seeking a talented and motivated intern to join our EXPAREL Marketing team. The intern will assist with projects such as providing crucial capacity for brand planning and high-priority strategic initiatives leading into the critical fall period of tactical planning, congresses, and Plan of Actions (POAs). This is a great opportunity for a college student to gain hands-on experience and contribute to Pacira's success. Key Responsibilities: Support of 2027 brand planning including partnering to refine surgical patient customer journeys and prioritization of addressable unmet needs Partnering with analytics teams on a re-review and refinement of procedure codes to be included in our target market Supporting congress strategy and tactics in advance of major fall meetings in orthopedics and anesthesiology Assessment of brand websites 1yr post-relaunch and identification of opportunities to optimize Qualifications: Currently enrolled in a college or university program as a full-time rising Junior or Senior Majoring in Marketing/MBA program ideal. Will also will consider life sciences backgrounds. Maintain a cumulative minimum GPA of 3.0/4.0 Strong communication and interpersonal skills. Ability to work independently and as part of a team. Benefits: Hands-on experience in a corporate environment. Mentorship from experienced professionals. Networking opportunities with industry leaders. Application Deadline: January 30, 2026 Start Date: June 8, 2026 Note: This is a paid internship, and the intern must commit to a full-time schedule for the duration of the program.

The University of California Agriculture and Natural Resources (UC ANR) seeks a Financial Data Analyst (classified as Research Data Analyst 4) to develop, maintain, and optimize financial software solutions that support the Division's financial operations. UC ANR is a complex organization with operations in 58 county offices, three campuses, and nine research and extension centers. As the land-grant arm of the UC system, ANR manages over $300 million in funding and employs over 1,600 academic and staff personnel. The incumbent applies advanced data analytics, programming, and data integration skills to extract, clean, and analyze large and complex financial datasets from multiple enterprise sources. This role will collaborate with Resource Planning and Management, Financial Services, IT, and administrative teams to customize and implement applications that enhance financial reporting, budgeting, and operational efficiency. The ideal candidate has a strong background with financial data systems in higher education, proficiency in tools such as SQL, R, SAS, Tableau, and Power BI, with a passion for improving processes in a large, complex academic institution. This position is a contract appointment that is 100% fixed, and ends three years from date of hire with the possibility of extension if funding permits. This position is posted as a Research Data Analyst 4 but a Research Data Analyst 3 may be considered depending on the level of experience of the hired applicant. The home department is Resource, Planning & Management. While this position normally is based in Oakland, CA, this position is eligible for hybrid flexible work arrangements for applicants living in the State of California at this time. Please note that hybrid flexible work arrangements are subject to change by the University. Pay Scale: Research Data Analyst 3: $91,500.00/year to $130,200.00/year Research Data Analyst 4: $112,400.00/year to $163,200.00/year Job Posting Close Date: This job is open until filled. The first application review date will be 9/8/2025. Key Responsibilities: 25% Financial Data Integration & Reporting Create and maintain scripts, queries, and reports that integrate data from multiple systems to support cross-functional financial analysis. Build automated tools to extract, clean, and analyze large financial datasets from Oracle, Cognos, and other university financial systems. Translate complex reporting and analysis needs into scalable, user-friendly dashboards and visualizations using tools such as Tableau, Cognos, or Power BI. 20% Financial Application Design & Enhancement Design and enhance financial applications that support budgeting, forecasting, and reporting within a university financial ecosystem. Implement financial models and process automation solutions to improve operational efficiency across departments. 15% Process Improvement & Operational Efficiency Improve speed, accuracy, and efficiency of financial calculations and reporting systems. Contribute to continuous improvement initiatives with university finance and IT stakeholders. 15% Compliance & Risk Management Ensure the use of all financial applications complies with university policies, state and federal regulations (GAAP, IFRS, OMB Uniform Guidance), and cybersecurity standards 15% Technical Support & Issue Resolution Diagnose and resolve system issues, provide technical support to finance teams, and ensure seamless financial operations across all campuses 10% Stakeholder Collaboration & Documentation Work with university finance and IT stakeholders, maintain clear documentation of system workflows, and support cross-campus coordination. Requirements: Bachelor's degree in Computer Science, Finance, Data Science, Business Analytics, or a related field or equivalent experience. Proficiency in using programming or scripting languages (such as SQL, Python, or similar) to extract, analyze, and automate processes using data from financial systems. Experience with ERP platforms (Oracle, UCPath), and business intelligence tools (Cognos, Tableau, Power BI). Familiarity with data warehousing, cloud computing (AWS, Azure, GCP), and automation tools. Ability to analyze large datasets and develop financial reports that align with UC's financial reporting standards. Strong problem-solving, analytical thinking, and collaboration skills. Preferred Skills: Strong understanding of fund accounting, grant management, and UC financial policies. Experience working in higher education finance, UC financial operations, or public sector budgeting. Knowledge of UC policies related to finance, grants, and compliance. Certifications such as CPA, CFA, or data analytics certifications. Special Conditions of Employment: Must possess valid California Driver's License to drive a County or University vehicle. Ability and means to travel on a flexible schedule as needed, proof of liability damage insurance on vehicle used is required. Reimbursement of job-related travel will be reimbursed according to University policies. The University reserves the right to make employment contingent upon successful completion of the background check. This is a designated position requiring a background check and may require fingerprinting due to the nature of the job responsibilities. UC ANR does hire people with conviction histories and reviews information received in the context of the job responsibilities. As of January 1, 2014, ANR is a smoke- and tobacco-free environment in which smoking, the use of smokeless tobacco products, and the use of unregulated nicotine products (e-cigarettes), is strictly prohibited. As a condition of employment, you will be required to comply with the University of California Policy on Vaccination Programs, as may be amended or revised from time to time. Federal, state, or local public health directives may impose additional requirements. Exercise the utmost discretion in managing sensitive information learned in the course of performing their duties. Sensitive information includes but is not limited to employee and student records, health and patient records, financial data, strategic plans, proprietary information, and any other sensitive or non-public information learned during the course and scope of employment. Understands that sensitive information should be shared on a limited basis and actively takes steps to limit access to sensitive information to individuals who have legitimate business need to know. Ensure that sensitive information is properly safeguarded. Follow all organizational policies and laws on data protection and privacy. This includes secure handling of physical and digital records and proper usage of IT systems to prevent data leaks. The unauthorized or improper disclosure of confidential work-related information obtained from any source on any work-related matter is a violation of these expectations. Misconduct Disclosure Requirement: As a condition of employment, the final candidate who accepts a conditional offer of employment will be required to disclose if they have been subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct; received notice of any allegations or are currently the subject of any administrative or disciplinary proceedings involving misconduct; have left a position after receiving notice of allegations or while under investigation in an administrative or disciplinary proceeding involving misconduct; or have filed an appeal of a finding of misconduct with a previous employer. a. "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer. For reference, below are UC's policies addressing some forms of misconduct: UC Sexual Violence and Sexual Harassment Policy UC Anti-Discrimination Policy Abusive Conduct in the Workplace To apply, please visit: https://careerspub.universityofcalifornia.edu/psc/ucanr/EMPLOYEE/HRMS/c/HRS_HRAM_FL.HRS_CG_SEARCH_FL.GBL?Page=HRS_APP_JBPST_FL&JobOpeningId=80657&PostingSeq=1&SiteId=17&language Cd=ENG&FOCUS=Applicant Copyright ©2025 Jobelephant.com Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-73328718dac9be49973401bb9dac31c0

Location: Atlanta, Boston, Chicago, Dallas, Denver, Detroit, Houston, Los Angeles, McLean, New York, Hoboken, Philadelphia, San Francisco, Seattle 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. EY-Parthenon - EY Growth Platforms - Data Scientist - Director The opportunity EY-Parthenon's unique combination of transformative strategy, transactions and corporate finance delivers real-world value - solutions that work in practice, not just on paper. Benefiting from EY's full spectrum of services, we've reimagined strategic consulting to work in a world of increasing complexity. With deep functional and sector expertise, paired with innovative AI-powered technology and an investor mindset, we partner with CEOs, Boards, Private Equity and Governments every step of the way - enabling you to shape your future with confidence. Within the EY-Parthenon service line, the EY Growth Platforms Data Scientist Director will collaborate with Business Leaders, AI/ML Engineers, Project Managers, and other team members to design, build, and scale innovative AI solutions that power strategic growth initiatives and create enterprise value for F500 clients. Your key responsibilities The EY Growth Platforms Data Scientist Director will play a critical role building and scaling our multi-source data pipelines- sourcing, merging, and transforming data assets that power high-visibility client engagements. This role will architect, clean, transform, and enrich data to power AI/ML-driven agents and dashboards, and collaborate with Business leaders and C-level executives to get hands‑on experience solving some of the most interesting and mission‑critical business questions with data. Skills and attributes for success Lead ingestion and ETL design for structured and semi‑structured data (CSV, JSON, APIs, Flat Files). Understand schema, data quality, and transformation logic for multiple sources on a client‑by‑client like NAIC, NOAA, Google Trends, EBRI, Cannex, LIMRA, and internal client logs. Design normalization and joining pipelines across vertical domains (insurance + consumer + economic data). Build data access layers optimized for ML (feature stores, event streams, vector stores). Define and enforce standards for data provenance, quality checks, logging, and version control. Partner with AI/ML and Platform teams to ensure data is ML‑ and privacy‑ready (HIPAA, SOC2, etc.). To qualify for the role you must have A bachelor's degree in Business, Statistics, Economics, Mathematics, Engineering, Computer Science, Analytics, or other related field and 5 years of related work experience; or a graduate degree and approximately 3 years of related work experience. Experience in data engineering or hybrid data science roles focused on pipeline scalability and schema management. Expertise in cloud‑native data infrastructure (e.g., GCP/AWS, Snowflake, BigQuery, Databricks, Delta Lake). Strong SQL/Python/Scala proficiency and experience with orchestration tools (Airflow, dbt). Experience with merging and reconciling third‑party data (public APIs, vendor flat files, dashboards). Comfort defining semantic layers and mapping unstructured/dirty datasets into usable models for AI/BI use. Basic understanding of ML/feature pipelines and downstream modeling needs. The ability and willingness to travel and work in excess of standard hours when necessary. Ideally, you will have Experience working in a startup and/or management/strategy consulting. Knowledge of how to leverage AI tools in a business setting, including Microsoft Copilot. Collaborative, problem‑solving, and growth‑oriented mindset. What we look for We're interested in passionate leaders with strong vision and a desire to stay on top of trends in the Data Science and Big Data industry. If you have a genuine passion for helping businesses achieve the full potential of their data, this role is for you. 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 $205,000 to $235,000. 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

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.

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.

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose - to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description The Global Data Office - With data being the fuel that drives our future - our strategies, policies, and business successes around data will define our future growth prospects. Unlocking the value available through the innovative use of data on behalf of consumers, businesses, and communities is key to our future. With our ongoing commitment to Visa's Data Values and the responsible use of data, we at Visa have a bold vision to continue to grow and accelerate our data-related businesses and capabilities. Led by Visa's Chief Data Officer, the Global Data Office coordinates high-impact, complex, company-wide projects related to data business strategy, critical investments, policy development, and marketplace execution. Working closely with Visa's Chief Privacy Officer, the Technology organization, Government Solutions, the wider data community, and the full set of Visa's global lines of business, the Global Data Office is evolving Visa's data and AI-related work with momentum and enthusiasm. Driven by its commitment to trusted use of data and AI, Visa is seeking enthusiastic leaders who are change agents and passionate about the future of data around the world. Visa's Global Data Office develops and manages a portfolio of innovative data solutions powering multiple lines of business, government, and merchant clients. These products deliver actionable insights, improve operational efficiency, and unlock opportunities for growth and customer engagement. The Data Product Analyst plays a critical role in supporting data products across their lifecycle, with a strong focus on analytics, insights, and AI-driven recommendations Key Responsibilities: Collaborate with product managers on data products, supporting pipeline management, sales enablement, and cross-functional projects with marketing, sales, engineering, and operations. Own feedback tracking for all supported products, organize, manage, and synthesize client, user, and internal input to inform product improvements and prioritization. Manage client onboarding and workspace setup processes across the product portfolio, ensuring seamless experiences and accurate billing. Address client inquiries and product-related issues, working with marketing to create product collateral, case studies, and demo assets. Support development of AI-powered features and data-driven insights to enhance product value. Assist in analyzing product performance metrics and generating actionable recommendations for optimization. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Qualifications Basic Qualifications: 2 or more years of work experience with a Bachelor's Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD) Preferred Qualifications: 3 or more years of work experience with a Bachelor's Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) Experience working with merchants or merchant-focused data products. Exposure to building or supporting new data or AI-driven products. Technical background or familiarity with data engineering, analytics, or AI/ML concepts. Strong understanding of data visualization and insights generation (e.g., dashboards, recommendation engines). Proficiency with modern analytics tools (Tableau, Looker, SQL) and experience with AI/ML frameworks is a plus. Familiarity with product/project management platforms (e.g., JIRA, Asana). 2+ years of experience in a data analysis, consulting, product, or project management role. SaaS or digital product experience preferred. Strong analytical, problem-solving, and critical thinking skill, able to interpret and translate complex data for diverse audiences. Excellent communication and stakeholder management skills. Highly organized with strong project management capabilities, able to prioritize tasks across concurrent initiatives. Additional Information Work Authorization: Permanent Authorization to work in the U.S. is a precondition of employment for this position. Visa will not sponsor applicants for work visas in connection with this position. Relocation:This role does not provide relocation assistance. Work Hours: Varies upon the needs of the department. Travel Requirements: This position requires travel5-10% of the time. Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code. U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 123,000.00 to 173,950.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

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.

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.

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

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.