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.

Role Description We are seeking an Applied Scientist to join our team, focused on leveraging existing AI/ML models to detect key moments in sports videos through computer vision and transcript analysis. This role emphasizes prompt engineering, model output validation, and integration with inference pipelines rather than custom model development or training. - Design and optimize prompts for multimodal foundation models such as Claude and Nova to detect custom ad moments in live video frames and audio transcripts. - Process test video assets through Amazon Bedrock for custom moments detection using transcript analysis and computer vision. - Configure and tune the Bedrock Connector pipeline for each custom moment type. - Conduct model comparison studies with accuracy benchmarking on specific content. - Validate detection accuracy across multiple sports, genres, and live event types and refine prompts to improve accuracy. - Build repeatable templates for pipeline processing and structured metadata output. - Collaborate with the AWS Elemental Inference team to align on integration requirements. Qualifications - 5+ years of experience in applied AI/ML with a focus on multimodal models spanning vision and language. - Expertise in prompt engineering for large foundation models, with Amazon Bedrock preferred. - Familiarity with video/image understanding in live video workflows and near-real-time inference pipelines. - Skills in designing evaluation frameworks and benchmarking model accuracy. - Experience working in media, advertising, or content classification. - English proficiency at B2 level or higher. Requirements - Nice to have: Familiarity with video frames using OpenCV and transcript data for understanding input data. - Knowledge of computer vision and natural language processing techniques. - Background in sports analytics or media technology.