Title: Data Scientist, Growth Analytics Locations: Los Angeles, CA (Hybrid); San Francisco, CA (Hybrid) About the Role: We are looking for a problem solver who thrives at the intersection of data science, growth strategy, and AI-powered automation. You’ll focus on diving deep into data, creating scalable data solutions, building agentic AI workflows, supporting growth marketing measurement, and enabling growth experimentation to power smarter decision-making for growth marketing. This is a highly technical and data-intensive role ideal for someone who is passionate about applying advanced analytics and AI to drive business impact in a fast-paced environment.This is a hybrid role based out of our San Francisco or Los Angeles office. You must be willing to travel to the office two days/week. What You'll Do: - Lead the design and evolution of measurement frameworks that quantify marketing effectiveness across the full customer lifecycle, including acquisition, activation, retention, and brand impact. - Create business intelligence suites that provide a holistic view of marketing performance across growth marketing, brand marketing, Search/Answer Engine Optimization (SEO/AEO), Customer Relationship Management (CRM), social, content, partnerships, and business development, spanning both performance and brand health metrics. - Build scalable analytics products that provide executive visibility into marketing performance across paid, owned, and earned channels. - Design and implement agentic AI solutions that automate recurring analyses, generate actionable insights, orchestrate multi-step analytical workflows, and accelerate decision-making for growth marketing, brand marketing, SEO/AEO, CRM, social, and broader marketing operations teams. - Leverage large language models (LLMs), AI agents, and modern AI frameworks to improve productivity, automate reporting, enhance experimentation workflows, and surface intelligent recommendations. - Evaluate and implement advanced statistical techniques - including Bayesian modeling, causal inference, uplift modeling, and media mix modeling - to improve marketing measurement and optimization. - Drive the organization's experimentation strategy by designing rigorous A/B tests, incrementality studies, geo experiments, and causal inference methodologies to measure both short-term performance and long-term business impact. - Partner closely with Data Engineering to design robust data models, improve data quality, and define scalable pipelines that support analytics at scale. - Build and maintain dashboards and self-service analytics solutions in Preset, Databricks, or Tableau that empower growth marketing, brand marketing, SEO/AEO, CRM, social, and cross-functional partners with timely, actionable insights. Your Background: - 4+ years of experience in Analytics, Data Science, Decision Science, or Growth Analytics, with demonstrated impact in a high-growth B2C technology company. (streaming, gaming, fintech, or consumer app businesses preferred). - Deep expertise in SQL, including complex query optimization, dimensional modeling, and large-scale analytical data warehouses such as Databricks, Snowflake, BigQuery, or Redshift. - Strong programming experience in Python for statistical modeling, automation, experimentation, AI applications, and production-quality analytics workflows. - Experience building AI-powered analytical tools, agentic workflows, or LLM-based applications that automate repetitive analysis, accelerate decision-making, or improve business operations. - Proven experience building predictive models and applying machine learning techniques to solve business problems in marketing, growth, or customer lifecycle optimization. - Deep understanding of experimentation methodologies, including A/B testing, causal inference, Bayesian statistics, incrementality testing, and observational analysis. - Experience developing executive-facing dashboards and scalable self-service analytics solutions using Tableau, Preset, or similar BI platforms. - Demonstrated ability to influence cross-functional strategy and communicate complex analytical concepts to executive and non-technical audiences. - Strong curiosity, autonomy, and passion for building scalable analytics capabilities and establishing best practices that raise the bar across the organization. - Familiarity with modern AI frameworks and tooling (e.g., LangChain, LangGraph, OpenAI APIs, MCP, vector databases, or similar agent orchestration frameworks) is highly desirable. - Strong understanding of digital marketing measurement, attribution methodologies, media performance, and customer acquisition economics is a plus. #LI-SY1 #LI-Hybrid Tubi is a division of Fox Corporation, and the FOX Employee Benefits summarized here, covers the majority of all US employee benefits. The following distinctions below outline the differences between the Tubi and FOX benefits: - For US-based non-exempt Tubi employees, the FOX Employee Benefits summary accurately captures the Vacation and Sick Time. - For all salaried/exempt employees, in lieu of the FOX Vacation policy, Tubi offers a Flexible Time off Policy to manage all personal matters. - For all full-time, regular employees, in lieu of FOX Paid Parental Leave, Tubi offers a generous Parental Leave Program, which allows parents twelve (12) weeks of paid bonding leave within the first year of birth, adoption, surrogacy, or foster placement of a child in addition to applicable government leave program(s) and FOX’s short-term disability policy. This time is 100% paid through a combination of any applicable state, city, and federal leaves and wage-replacement programs in addition to contributions made by Tubi. - For all full-time, regular employees, Tubi offers a monthly wellness reimbursement. About Tubi: Boldly built for every fandom, Tubi is a free streaming service that entertains over 100 million monthly active users. Tubi offers the world's largest collection of Hollywood movies and TV shows, thousands of creator-led stories and hundreds of Tubi Originals made for the most passionate fans. Headquartered in San Francisco and founded in 2014, Tubi is part of Tubi Media Group, a division of Fox Corporation. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.

Title: Statistician (Full-time, Remote) Location: Alexandria VA US Job Description: About Us http://www.integritym.com Integrity Management Services, Inc. (IntegrityM) is an award-winning, women-owned small business specializing in assisting government and commercial clients in compliance and program integrity efforts, including the prevention and detection of fraud, waste and abuse in government programs. Results are achieved through data analytics, technology solutions, audit, investigation, and medical review. At IntegrityM, we offer a culture of opportunity, recognition, collaboration, and supporting our community. We thrive off of these fundamental elements that make IntegrityM a great place to work. Our small, flexible workplace offers an exceptional quality of life and promotes corporate-driven sustainability. We deliver creative solutions that exceed goals and foster a dynamic, idea-driven environment that nurtures our employees’ professional development. Large company perks…Small company feel! Description We are seeking a Statistician to join our Data Analytics team. In this role, the Statistician will provide statistical and analytical support for healthcare data analysis projects using a variety of statistical methods and analytical tools. Working under the guidance of senior analytical staff, the Statistician will develop, analyze, and interpret complex datasets to support program integrity, healthcare operations, and business decision-making. This position works both independently and collaboratively with data analysts, statisticians, and project leadership to produce high-quality deliverables for clients. Responsibilities - Perform data extraction, cleaning, validation, transformation, and maintenance across multiple data sources. - Conduct statistical analyses and quantitative data mining to identify trends, patterns, anomalies, and other meaningful insights. - Develop reports, dashboards, summaries, and visualizations to communicate analytical findings. - Compile, validate, interpret, and present data to support operational and business objectives. - Perform statistical programming and data analysis using analytical software and programming languages. - Design and execute database queries to retrieve and analyze data from large datasets. - Prepare clear, concise, and accurate reports, memoranda, data files, and presentations for internal and external stakeholders. - Communicate analytical methods, assumptions, and results to both technical and non-technical audiences. - Support internal quality reviews, audits, and data validation activities. - Participate in team projects, methodology discussions, and continuous process improvement initiatives. - Stay current on statistical methods, healthcare industry trends, data analytics technologies, and applicable regulations. - Perform ad hoc analyses and other duties as assigned. - Maintain compliance with all applicable privacy, security, and confidentiality requirements. - Adhere to IntegrityM policies and client requirements governing the protection of sensitive information. Requirements Qualifications - Bachelor's degree in Statistics, Biostatistics, Mathematics, Computer Science, Data Science, or a related quantitative field. - Minimum of two years of experience using statistical programming languages (e.g., SAS, Python, R, or SQL). - Preferred experience with statistical methodologies and relational databases. - Minimum of three years of experience analyzing healthcare, health insurance, or government healthcare program data. - Preferred experience working with healthcare claims, clinical, financial, or administrative datasets. - Advanced knowledge of statistical analysis, quantitative methods, and analytical problem solving. - Proficiency with Python, Databricks, SAS, SQL, Excel, Word, PowerPoint, and other analytical tools. - Experience developing queries, analyzing large datasets, and interpreting complex data. - Strong written and verbal communication skills with the ability to explain technical concepts to non-technical audiences. - Strong organizational, analytical, and problem-solving skills. - Ability to work independently while collaborating effectively within a multidisciplinary team. - Ability to manage multiple priorities and meet established deadlines. - Passion for supporting healthcare program integrity and IntegrityM's mission, vision, values, and operating principles. Benefits This position is eligible for the benefits applicable to full-time regular employees, such as: vacation, sick leave, paid holidays, health insurance, dental insurance, vision insurance, short- and long-term disability, life insurance, employee assistance plan, 401(K) retirement plan, and educational benefits. U.S. remote annual salary range: $65,000-$95,000/annual For candidates in jurisdictions requiring range disclosure, this is the good-faith range for this role; final pay may vary by work location and job-related factors such as skills, experience, location, and internal equity. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. IntegrityM is an Equal Opportunity Employer and we do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, and gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

• Serve as the primary, hands-on Data Manager for multiple clinical studies, driving the daily data flow, performing discrepancy management, and conducting granular data review activities. • Own or co-own external data reconciliation as a standardized cross-study workstream. Reconcile complex datasets from multiple external vendors with the EDC and internal systems; meticulously track, document, and resolve discrepancies to ensure an easy-to-audit framework. • Review Tables, Figures, and Listings (TFL) specifications and listings to ensure they are fully supported by the clinical data collected. Partner directly with statisticians to investigate document trails and aggressively resolve data mismatches. • Write, QC, and execute User Acceptance Testing (UAT) plans and test scripts, specifically for databases, CRFs, and data review tools/systems. Capture and archive objective evidence during UAT to ensure compliance. • Author and QC system- and data-related documentation. Maintain a flawlessly traceable audit trail—ensuring clear documentation of where files are stored, how they are versioned, and how they will present to a systems or validation inspector. • Partner with Clinical and Biometrics to draft comprehensive Data Management Plans (DMPs), eCRF specifications, completion guidelines, and data transfer agreements. • Manage technical deliverables and data flows from contracted CDM vendors, ensuring all activities meet strict corporate timelines and quality thresholds.

Description At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We're turning today's impossible into tomorrow's standard -from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features. Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale. The Role We are building a new Vehicle Analytics & Insights team within GM's Vehicle Product organization, and this role is a foundational hire. As a Staff Product Data Scientist , you'll help define how analytics informs product decisions for GM's vehicle experience. You'll work at the intersection of vehicle data, product strategy, and user behavior-turning complex telemetry and product signals into clear, actionable insights. Your work will help product teams move beyond intuition to a quantitative understanding of how customers use, adopt, and experience vehicle features at scale. You'll partner closely with product managers, engineers and designers and play an early role in shaping product analytics standards, metrics, and how insights are used across the organization. This role offers meaningful ownership and visibility, with the opportunity to shape how product analytics drives decisions and scales across GM as the capability grows. What You'll Do: - Define, standardize, and evolve product success metrics and KPI frameworks across in-vehicle experiences, ensuring consistency, clarity, and alignment to customer value and business outcomes. - Lead the product analytics instrumentation strategy, partnering with Product and Engineering to define what data should be captured, how it should be implemented, and how quality and consistency are maintained. - Act as a thought partner to product teams to proactively identify opportunities and inform prioritization and product strategy, rather than responding to ad hoc requests. - Perform deep-dive analyses to understand customer journeys, engagement patterns, friction points, and value moments across in-vehicle experiences, translating complex behavioral data into clear, actionable insights. - Design, build, and own dashboards and self-serve analytics that enable product teams and leaders to continuously monitor product performance, adoption, and health. - Frame complex analytical findings into clear decision narratives, explicitly surfacing tradeoffs, risks, and opportunities to influence product strategy and prioritization. - Set best practices for experimentation and causal inference in environments where traditional A/B testing may be constrained, applying statistical rigor and sound judgment to real-world product decisions. - Help establish the foundational product analytics practices for the Vehicle Product organization that will scale as the team grows. - Act as a force multiplier for analytics capability, mentoring analysts and product partners, raising data literacy, and enabling teams to increasingly self-serve insights while maintaining high analytical standards. Your Skills & Abilities (Required Qualifications): - Master's degree in Analytics, Statistics, Mathematics, Computer Science, or a related quantitative field (or equivalent practical experience). - 7+ years of experience in data science or analytics, with a strong preference for product analytics / product data science roles supporting software or digital products. - Expert-level SQL skills, with a demonstrated ability to define trusted metrics, validate data, and diagnose data quality issues in complex, evolving data ecosystems. - Strong experience using Python (or similar languages) for exploratory analysis, statistical modeling, experimentation, and automation. - Demonstrated ability to translate data into clear stories and recommendations, and to communicate technical concepts effectively to audiences with varying levels of technical depth. - Hands-on experience with data visualization and BI tools (e.g., Databricks, Power BI, Looker, or similar) and a strong point of view on what makes dashboards useful versus misleading. - Strong written and verbal communication skills, with a proven ability to collaborate effectively across Product, Engineering, Design, and adjacent teams. What Will Give You a Competitive Edge (Preferred Qualifications): - Experience designing and analyzing experiments or feature rollouts, including an understanding (and/or application) of causal inference and real-world constraints. - Track record of driving impact beyond a single team or product, influencing how multiple teams approach measurement, decision-making, or experimentation. - Comfortable working in ambiguous, early-stage environments, where processes are still being defined and impact comes from building the foundation as much as delivering immediate insights. Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate. The compensation may not be representative for positions located outside of the California Bay Area. - The salary range for this role is 159,400 and 245,700. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. - Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. - Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more Company vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, though which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies. #LI-RF1 GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.) This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}. This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Total Rewards | Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.