• Configure/maintain EDC forms and eCRF specifications as needed to support ingestion and downstream analysis, focusing on scalability and standardization. • Own end-to-end Data Management for Evidence Generation studies: build, validate, and maintain research databases from ingest → cleaning → QC → data lock. • Develop and run data cleaning workflows (queries, reconciliation, audit trails), and ensure inspection-ready documentation. • Design and operate data model strategy for automated ingestion of EHR-level RWE into the EDC. • Work hands-on with APIs/integration endpoints and unify disparate data models (site/EHR variability, mapping logic, versioning, schema evolution). • Partner with site IT/informatics and the Product team to understand EHR constraints, extract structures, and change management. • Translate EHR data realities into feasible study data capture and monitoring plans. • Create and maintain DMPs, SAPs, SOPs, runbooks, and training materials that operationalize the above processes across care pathways. • Perform statistical analyses on cleaned datasets (descriptive, comparative, time-to-event where appropriate) and support evidence packages and reporting.

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here. We are looking for a Data Scientist to join our marketing org. As a Data Scientist you introduce greater scientific rigor into the marketing measurement and optimization processes to shape Pinterest’s revenue growth and marketing strategy. The results of your work will influence and drive strategic decisions for the company - identify investment opportunities for growth, understand revenue growth and behavior, and define metrics to grow and sustain our advertiser base. You will collaborate on a wide array of business problems with a diverse set of cross-functional partners across Marketing, Product, Engineering, Analytics and others. The role is within the Marketing team and would be supporting business marketing efforts focused on driving revenue growth for Pinterest. What you’ll do: - Lead the design, implementation, and continuous improvement of advanced marketing measurement frameworks and statistical models to quantify marketing ROI. Marketing channels could be different paid media, organic social, email, in person events, webinars, elearning platform etc. - Build and deploy statistical and machine learning models such as propensity, forecasting, and lifetime value (LTV) models—to optimize marketing strategies and enhance audience targeting. - Develop and refine attribution methodologies to evaluate the effectiveness of marketing initiatives across multiple channels. - Assess the incremental impact of marketing activities using causal inference techniques and testing/experiment frameworks. - Conduct deep, strategic analyses to address key business questions, such as how to improve marketing ROI, how to improve marketing budget allocation to optimize the business impact, measuring the impact of marketing in both mature and new markets, identifying opportunities to increase advertiser growth and revenue through marketing initiatives - Translate complex analytical findings into clear, actionable insights and strategic recommendations for both technical and non-technical stakeholders, including senior leadership. - Design, maintain, and promote dashboards and automated reporting tools to empower stakeholders with self-serve, data-driven decision-making capabilities. Build and optimize ETL data pipelines to automate reporting, support deep dive analysis and feature engineering for analytical models. What we’re looking for: - 3+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems. - Masters degree in a quantitative field such as mathematics, statistics, computer science or engineering. - Hands-on experiences with building marketing measurement solutions to quantify the business impact of marketing tactics and investments. - Strong background in statistics and quantitative analysis, with experience in applying advanced statistical techniques to real-world problems. - Expertise in at least one scripting language (ideally Python/R). Proficiency in SQL/Hive. Ability to write efficient SQL queries. - Strong business and product sense. Strong skills in shaping vague questions into well-defined analyses and success metrics that drive business decisions. - Excellent communication skills, able to lead initiatives and communicate findings to the leadership and cross-functional teams. Explains work and thought processes clearly and concisely. - Experience leading key technical projects. - Strong Experimentation background. - Statistical rigor. Experience with causal inference projects. In-Office Requirement Statement: - We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. - This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. Relocation Statement: - This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-REMOTE #LI-NM4 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only $114,297—$235,319 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Role Description As a Data Scientist Manager, you serve as both a strategic thought partner and a technical expert driving advanced analytics capabilities across the organization. You will lead complex, high-impact initiatives and partner closely with senior leaders to embed data-driven insights into business strategy. This role combines deep analytical expertise with advanced modeling. You will influence decision-making, develop scalable data products, and elevate the organization’s analytic maturity in support of Long-Term Care Insurance strategy. What you will be doing: - Lead complex, cross-functional analytics initiatives from concept through execution, ensuring insights drive business strategy. - Partner with senior leaders to define analytical problem statements, gather requirements, and translate business needs into data-driven solutions. - Act as a thought leader for data science best practices, analytic design, and modeling approaches across the organization. - Influence stakeholders at all levels, presenting insights, use cases, and strategic recommendations. - Develop and deploy advanced statistical models, machine-learning tools, and predictive capabilities supporting LTC strategy and customer insights. - Conduct deep exploratory data analysis to uncover trends, relationships, and emerging insights that drive strategic action. - Design and implement repeatable analytics pipelines, feature engineering strategies, and model validation frameworks. - Build advanced datasets and analytical assets using SQL/SAS/Python/R; explore large, complex data environments. - Develop subject-matter expertise in policies, claims, customer behavior, and LTC data ecosystems. - Contribute to data modernization projects, including cloud transitions, data engineering collaboration, and scalable data architecture improvements. - Ensure data quality, model documentation, reproducibility, and governance standards are met. - Communicate complex analytical findings through compelling written, visual, and verbal storytelling. - Deliver clear, concise presentations that enable senior leaders to make informed decisions rapidly. Qualifications - Bachelor’s degree in an analytical, quantitative, or technical discipline. - 5+ years business analytics and business support functions experience. - 5+ years of experience in one or more of the following statistical/analytic languages such as Python (Pandas, Scikit-Learn), Apache Spark (or PySpark), Hive, and Scala in a cloud computing environment. - 5+ years of experience in one or more of the following: database query and management tools (SQL, Spark, Preseto/Athena/Hive/HQL etc.). - Hands-on experience with advanced analytics like logistic regression, time series, forecasting, optimization, and other predictive modeling techniques. ML experience and knowledge of ML platforms, libraries, and programming. - Experience using GLMs, XGBoost and other predictive analytic techniques. - Ability to translate business needs into technical requirements and articulate analytic solution to get business buy-in. - Ability to influence decision makers and drive consensus. Requirements - Master’s degree in a quantitative or related field (preferred). - Experience with Long-Term Care Insurance products, claims processes, or actuarial environments (preferred). - Experience with ETL, data engineering concepts, or RDBMS systems (SQL Server, Oracle, Greenplum) (preferred). - Experience with big data ecosystems (Hadoop, Spark, Hive, Databricks, AWS/Azure) (preferred). - Background in advanced modeling techniques, MLOps, or deployment frameworks (preferred). Benefits - Competitive Compensation & Total Rewards Incentives. - Comprehensive Healthcare Coverage. - Multiple 401(k) Savings Plan Options. - Auto Enrollment in Employer-Directed Retirement Account Feature (100% employer-funded!). - Generous Paid Time Off – Including 12 Paid Holidays, Volunteer Time Off and Paid Family Leave. - Disability, Life, and Long Term Care Insurance. - Tuition Reimbursement, Student Loan Repayment and Training & Certification Support. - Wellness support including gym membership reimbursement and Employee Assistance Program resources (work/life support, financial & legal management). - Caregiver and Mental Health Support Services.

Role Description GDIT is looking to hire a Sr. Data Scientist Principal. The qualified individual leads advanced analytics and AI models for vehicle performance, reliability, and sustainment. This position provides critical technical expertise in support of Special Operations Forces (SOF). You will help design and implement cutting-edge, data-driven systems that collect, interpret, and report performance information on high-performance vehicles and their sub-systems. Your work will enable advanced insight into logistics, operational performance, predictive maintenance, and lifecycle extension for these mission-essential platforms. This is an opportunity to directly support the Nation’s most elite forces—bringing your technical talent to bear on real-world challenges that matter. - Develop time-series, multimodal, and physics-informed models. - Apply anomaly detection, forecasting, RUL estimation. - Build feature stores and implement MLOps pipelines. - Perform model validation and drift detection. - Communicate insights to leadership and mentor DS teams. Qualifications - MS with 10+ years modeling experience - Expert in ML/DL for sensor/telemetry data - Experience deploying models in edge/cloud environments - Experience with ONNX, edge inference, or reinforcement learning - Security clearance level: Must be able to obtain Secret clearance Requirements - Experience with ONNX, edge inference, or reinforcement learning (Preferred) - PhD Preferred Benefits - Growth: AI-powered career tool that identifies career steps and learning opportunities - Support: An internal mobility team focused on helping you achieve your career goals - Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off - Flexibility: Full-flex work week to own your priorities at work and at home - Community: Award-winning culture of innovation and a military-friendly workplace