Top Senior Level Data & Analytics Jobs in Rochester, NY
As a Staff Engineer in Data Science, you will leverage your extensive experience to implement machine learning solutions, mentor team members, and transform business requirements into technical designs. You will define architecture, develop solutions on cloud platforms, and ensure best practices in code quality and design while collaborating with clients and developers.
The Big Data Engineer will collaborate with the Business Analytics & Insights team to create data solutions involving data migration, pipeline design, and real-time data processing. Responsibilities include building scalable data pipelines, ensuring data quality, and providing technical support throughout the data management process.
The Senior Staff Engineer - Data Scientist will support and develop products through data analysis, model development, and collaboration with stakeholders. This role involves creating statistical and optimization models, identifying trends in large datasets, and communicating insights to enhance business performance.
The Senior Compliance & Privacy Analyst will assess systems for FedRAMP compliance, manage continuous monitoring activities, maintain documentation, and collaborate with engineering teams to ensure compliance is met. Key responsibilities include vulnerability assessments, assisting in authorization packages, and developing Compliance Framework artifacts.
Seeking an experienced Research Scientist in Biophysics to develop and apply biophysical simulation techniques to generate actionable insights for drug discovery. Must have strong Python skills and a track record of innovation in simulation methods.
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The Lead Data Scientist at BlueLabs will oversee the design, implementation, and delivery of analytics products, manage a team, and ensure high-quality data processing, while collaborating with various stakeholders to innovate solutions and enhance project outcomes.
The Staff Applied Research Scientist will lead the implementation of research processes, oversee experiments, mentor team members, and help design the company's research roadmap, focusing on deep learning applications for media creation and editing.
The Senior Data Engineer will build and maintain data models, collaborate with teams for data analysis, ensure coding standards, and set up monitoring systems for data KPIs. The role requires deep knowledge in scalable data architecture and ETL processes, along with strong analytical and communication skills.
As a Senior Product Data Analyst, you will support the Product organization by curating data, uncovering insights, and creating dashboards. You will own the Product Analytics data catalogue, improve data quality, align the team around key metrics, manage experiments, and analyze product experience changes for better outcomes.
The Data Scientist will develop methods to consolidate and analyze large data sets for business insights and product enhancement. Responsible for building and promoting complex statistical and machine learning models, data cleanup, and ensuring data quality. Collaborates with stakeholders and leads team members in creating model outputs while adhering to regulatory standards.
As a Senior Analytics Engineer at Tint, you will be responsible for designing and implementing data pipelines, optimizing data models, and collaborating with cross-functional teams to deliver insights efficiently. This role involves leading data initiatives, mentoring junior team members, and influencing data strategy and architecture to inform key business decisions.
Senior Data Scientist role with a focus on full stack data science. Responsibilities include improving precision/recall of clinical algorithms, developing customer-facing analytics, and growing data science infrastructure. Ideal candidate has 5+ years' healthcare data science experience, ML Ops skills, and a product-focused mindset. Compensation includes $170K to $200K base salary + equity.
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