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.
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 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.
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
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.
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.
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.
Become a subject matter expert as it relates to venture capital data.CB Insights is seeking a motivated Data Entry Associate to ensure the quality of data that enters our system. This individual will also find ways to expand our data coverage universe. Furthermore, this person will have the opportunity to collaborate with our product and content teams on numerous projects and analyses.Key Responsibilities:
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.
Lead Marketing Data Analysts (MDAs) are the backbone of the client-facing organization at Crossix. MDAs use sophisticated analytical techniques to tease out the connections between healthcare marketing tactics and patient health outcomes using proprietary, privacy-centric technology. You’ll learn the ins and outs of the rich healthcare marketing ecosystem while observing the direct effects of particular tactics on patient health.
Peloton is looking for a Director of Data Engineering to strategize, build, and lead all our Data Warehouse and Data Pipeline efforts. You will be heading multiple teams of passionate and skilled database engineers, data engineers, architects, and analysts responsible for building and owning batch and streaming data pipelines that process terabytes of data daily and support all of the analytics, business intelligence, data science and reporting data needs across the organization.