Top Remote Senior Level Data & Analytics Jobs in Rochester, NY

As a Staff Data Scientist, you will analyze data discrepancies, support investigation of data anomalies, size opportunities for metric improvements, implement data quality controls, and lead strategic initiatives to enhance data integrity. You will collaborate with engineers and communicate best practices to ensure data reliability across teams.

The Senior Analyst II will quantify and communicate Included Health’s value to clients, focusing on data analysis and generating insights. Responsibilities include developing scalable reporting packages, automating reports and dashboards, and collaborating with cross-functional teams to optimize business strategy and client retention. This role utilizes SQL, Python, and various tools for data visualization and communication.

As a Senior Product Analyst, you will develop and deliver key analyses on product features, design and analyze experiments, and create dashboards to communicate insights. You will collaborate with product, engineering, and operations teams to identify data-driven solutions to business problems.

The VP of Data Analytics at Rush Street Interactive will lead the data analytics function, drive strategic data-driven decisions, mentor a team of analysts, and enhance business intelligence through advanced analytics. Responsibilities include managing large data sets, developing analytics models, and collaborating with key stakeholders to deliver insights for operational efficiency and business growth.

The Data and Integrations Consultant will lead the delivery of integration services by providing guidance and support to customers, ensuring seamless data flow between their CRM and ERP systems and AcuityMD's platform. Responsibilities include troubleshooting, maintaining integrations, and collaborating with internal teams to develop tailored solutions while identifying opportunities for upselling consulting services.

As a Senior/Staff Data Scientist, you will process large datasets into strategic insights, design machine learning models, and perform statistical analyses for product and leadership teams. Responsibilities include evaluating ML opportunities, mentoring mid-level data scientists, and collaborating with product and engineering teams. You will also communicate technical findings to various stakeholders and contribute to the development of the company's data science capabilities.

As a Staff Machine Learning Engineer, you will enhance Lime’s demand forecasting and positioning algorithms, execute a multi-year ML strategy, and work collaboratively across teams. Your role includes coaching engineers and data scientists while tackling complex ML challenges.