Best Data Analyst & Data Science Jobs in NYC

Want to build a product that uses data to see and make sense of the future?If you are passionate about data science and wish to use data to create innovative products that clients love, we want to talk with you!At CB Insights we build products that help clients make sense of the future and drive their businesses forward using data. Our system retrieves large amounts of structured and unstructured data and uses scientific methods to extract

Translate product and business objectives to data science problems and vice versa. Define and report key performance metrics. Develop methodologies in sampling, A/B testing, and survey design. Apply statistical inference to draw rigorous conclusions from data. Use a combination of exploratory analysis and data mining techniques to identify and interpret trends and anomalies. Communicate results and make actionable recommendations to stakeholders in Product, Marketing, and Community.

You will actively drive Celonis’ expansion and work in project teams to kick-start our customers’ process mining journey. You will make digital business processes transparent and harmonize our customers’ gigantic data flows by using our Celonis Process Mining Technology and by applying the most up-to-date extraction and transformation methods. You are involved in implementation projects with process data of varying degrees and complexity and for customers across industries. After the successful evaluation and preparation of the process data, you connect the respective on-premise/ Cloud systems with our software. You extract and transform customers’ data and design process- and customer-specific analyses. Over the course of our projects, you expertly handle our customers’ individual needs and actively participate in customer workshops.

Partner with stakeholders across the organization to identify high-impact opportunities to leverage our extensive data to better serve our members. Develop predictive and other machine-learned models to enhance and optimize user engagement and experience. Perform exploratory and targeted analyses to understand the data, the problem, and to generate insights, such as novel features, that can be fed into our models. Work with the rest of the team, and with our consumers and partners in dev and product, to implement and ship production-level code. Explore and assess utility and potential of additional data sources, APIs, and methods (spanning areas such as statistics, deep learning, and natural language processing). Motivate and mentor other data scientists to grow their skills and careers. Peer review other data scientists' contributions.

You’ll be a member of our data science team with a focus on ads measurement. In this role, you will be a subject matter expert on every part of our ads measurement offering – conversion lift and experiments, synthetic controls, reach and frequency, brand lift, etc. In addition, you will be an expert in the processes and data that enable these solutions – understanding the role of identity and advocating for changes if needed, building ways to account for missing transaction data, correcting non-response bias, panel bias, and so on. Your day-to-day will be spent interfacing between our Product Management, Data Partnerships, and Data Engineering teams to help lead the development and improvement of our measurement solutions. In this role you may also serve as a technical lead, guiding projects and mentoring junior members of the team

We are looking for a Lead Data Scientist with a background in deep learning and natural language processing. In this role you will be responsible for developing, executing, and overseeing the day-to-day management of the company’s data science team that will be focused on personalization. Additionally, alongside the product and engineering teams, you will have a role in shaping the product.

In this role, you will be a subject matter expert on every part of our identity offering, including our own first party cross-device solutions, how we match to third party vendors, and our unified graph, “identity alliance” which combines cross-device graphs from multiple partners. The identity graph is a foundational part of our platform, powering many of our measurement, targeting, and optimization capabilities. As a result, this person needs not just understand the graph itself, but, almost more importantly, all its downstream dependencies as well. Lastly you will be an expert in the processes and data that enable these solutions and provide input into the collection of new data sources. Your day-to-day will be spent interfacing between our Product Management, Data Partnerships, and Data Engineering teams to help lead the development and improvement of our identity solutions. In this role you may also serve as a technical lead, guiding projects and mentoring junior members of the team.

Define and align KPIs across multiple functional groups (marketing, product, technology) and business objectives (acquisition, sales, engagement, retention). Compile and reconcile data from multiple sources. Identify gaps in our data collection and collaborate with product and engineering on data capture specifications. Define and create reporting dashboards. Develop a vision to extend/improve our existing analytics and reporting technology stack. Stay up to date with the latest technologies and trends in analytics.

Justworks is seeking a Data Engineer to join our team. As a successful candidate, you have demonstrated the ability to build, deploy and maintain large-scale, data-driven solutions. You love to take on complex data-related problems and will help create and maintain large-scale batch and real-time data pipelines that will directly influence business decisions as well as contribute to improving the quality of our data tools and large scale data infrastructure.

Define and align KPIs across multiple functional groups (marketing, product, technology) and business objectives (acquisition, sales, engagement, retention). Analyze and visualize large data sets to report on KPIs using SQL and Looker to understand different marketing efforts such as TV, direct mail, social media, search. Identify gaps in our data collection and collaborate with product and engineering on data capture specifications Define, create and maintain reporting dashboards. Compile and reconcile data from multiple internal sources. Work with Acquisition Marketing team to build and modify views, explores, and models in Looker for reporting and analysis. Ingest third-party data into the database, set up and integrate Looker views for reports. Prioritize and execute ad-hoc data analysis to assess marketing activities and develop recommendations. Troubleshooting data discrepancies and errors. Work with the Ecomm team to ensure data is flowing into Redshift accurately. Develop a vision to extend/improve our existing analytics and reporting technology stack. Stay up to date with the latest technologies and trends in analytics.

What You'll Do

Support Product Strategy leadership to develop improvement, innovation and efficiency in company operations, leveraging automation and processes that easily scale. Take ownership of critical operational process improvements for Crossix audience products related to programmatic campaigns, Addressable TV, data-driven linear campaigns, etc. Become expert in day-to-day partner communications and quality control. Provide pre-implementation and post-implementation support to external stakeholders including agency partners and publishers, and integrated commercial teams at Crossix. Develop, manage and present operational updates of DIFA product suite.