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Top Remote Senior Level Data & Analytics Jobs in Washington DC,
The Senior Data Analyst is responsible for collecting, analyzing, and managing clinical data to enhance patient care and medical research. Key responsibilities include validating data from various sources, ensuring compliance with standards, creating reports and visualizations, and collaborating with healthcare professionals for effective data usage.
The Senior Product Analyst will analyze user behavior and platform metrics to drive strategic decisions. Responsibilities include managing dashboards, conducting A/B experiments, supporting product analysis, and collaborating cross-functionally. The role requires strong technical skills in analytics tools and various programming languages, along with the ability to mentor junior analysts.
The Senior Analyst will support the Global Deal Strategy & Operations team by managing analytics, metrics, and KPIs for non-standard deals. Responsibilities include data visualization, reporting for senior management, risk assessment of KPIs, and benchmarking metrics against industry standards. The role aims to enhance decision-making processes and promote efficiency within the sales operations.
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As a Senior Research Data Scientist, you will lead the Traceability team, developing models and algorithms to detect cryptocurrency fraud and financial crime. You will collaborate with engineers and research scientists, analyze complex data structures, and research methods to extract insights from blockchain data.
The Senior Staff Engineer - Data Scientist will work on product support and development, perform data analysis on large datasets, develop statistical models, and collaborate with stakeholders to deploy practical analytical solutions. They will analyze trends, automate data collection processes, and communicate insights to drive business results.
The Senior Staff Engineer - Data Scientist will develop products and perform data analysis on large datasets. They will build statistical models, optimize processes, and work with stakeholders to provide analytical solutions and business insights. Collaboration with engineering and product teams is essential to deploy these solutions effectively.
Seeking a Senior Staff Consultant with expertise in SAP Analytics and Data Management to tackle client challenges and take solutions to the next level. Dynamic work culture with opportunities for growth and collaboration across global teams.
The Process Data Analytics Sr. Manager will lead data collection, aggregation, and analysis related to raw materials, intermediates, and process data. Key responsibilities include developing systems for data integrity, performing statistical analysis, executing continuous monitoring of processes, and issuing monthly reports. This role requires expertise in data analytics tools and a strong understanding of biopharmaceutical processes.
As a Senior Machine Learning Engineer, you will enhance entity resolution algorithms, predict behaviors of small businesses, and develop ML infrastructure. Your work will focus on building reusable frameworks, engineering scalable systems, and collaborating with data scientists and engineers to ensure optimal system performance.
As a Senior Data Engineer at Iterable, you will optimize Spark pipelines and manage machine learning systems focused on data acquisition, cleaning, and evaluation. You'll work with both batch and real-time feature stores to enhance model performance and collaborate cross-functionally to develop data-driven products.
The VP of Data and Execution at Danaher Diagnostics will lead the establishment of a centralized Data Sciences and AI group, ensuring integration into core workflows and promoting data-driven innovations. Responsibilities also include overseeing execution excellence, clinical research processes, and financial oversight within operational frameworks, driving cross-functional collaborations.
As a Senior Data Analyst, you'll collaborate with the commercial team to design and build data solutions for clients, ensuring timely delivery of high-quality data. Your role includes analyzing large datasets to resolve quality issues, developing QA efficiencies, and engaging with stakeholders to enhance operational processes.
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