Top Data & Analytics Jobs in New York City, NY

The Data Scientist will lead the growth of data science capabilities, drive statistical modeling, optimize user classification systems, create lead scoring models, and collaborate with engineers and product managers to turn insights into automated services.

The BI Data Engineer will build data pipelines and Python-based ETL tools, develop and optimize data models, generate end-to-end reporting solutions, and collaborate with business leaders to define key metrics and reporting requirements, aiming to improve data usage across the company.

As a Data Scientist at StackAdapt, you will innovate and improve machine learning algorithms to enhance advertising performance. You'll collaborate with engineers to write production code, prototype algorithms, and analyze data-driven insights. The role requires problem-solving abilities and a deep understanding of statistics and data science concepts.

As a Data Engineer at StackAdapt, you will design and implement modular and scalable real-time data pipelines, work on custom ML algorithms, and manage microservices for training and monitoring ML models in a collaborative environment.

The Senior Analytics Engineer will manage the analytics stack for the FP&A team, developing and optimizing data models, maintaining data warehouse processes, and empowering users within the company to explore and analyze data independently. The engineer will also implement best practices for data cataloging and documentation.

As a Senior Causal Inference Data Scientist at Discord, you will provide statistical expertise in the rebuilding of the experimentation platform, collaborate with engineering and product teams to enhance experimentation reliability, and educate cross-functional teams on causal inference methodologies. You will also lead causal inference research and empower the wider Data Science team.

The Senior Financial Analyst will manage financial reporting and forecasting, analyze performance against plans, create SQL queries for data analysis, maintain financial models, support annual planning processes, and assist with cash management and reporting tasks. They will also help others develop SQL queries and respond to ad-hoc reporting requests.

As a Principal Data Scientist, you'll develop statistical and machine learning models to enhance operations, collaborate with teams to strategize, lead the design and implementation of predictive models, and mentor peers through project lifecycles.

As a Decision Science Analyst, you will support bank operations by applying mathematical and statistical techniques to analyze data and provide insights that drive operational efficiency. Your role includes collaborating with teams, applying advanced analytical techniques, translating recommendations for management, and implementing data hygiene and visualization techniques.