What are the responsibilities and job description for the Data Scientist, Product position at Lensa?
Lensa is the leading career site for job seekers at every stage of their career. Our client, Confluent, is seeking professionals in Augusta, ME. Apply via Lensa today!
With Confluent, organizations can harness the full power of continuously flowing data to innovate and win in the modern digital world. We have a purpose that drives us to do better every day – we're creating an entirely new category within data infrastructure - data streaming. This technology will allow every organization to create experiences and use the power of data in ways that profoundly impact the way we all live. This impact is our purpose and drives us to do better every day.
One Confluent. One team. One Data Streaming Platform.
Data Connects Us.
About The Role
The mission of the Data Science team at Confluent is to serve as the central nervous system of all things data for the company: we build analytics infrastructure, metrics, insights, and models. Our outputs enable data-driven thinking and help optimize every part of the business. There are limitless opportunities for an ambitious data scientist to make an immediate and meaningful impact within a high-growth company.
We are looking for a highly skilled Data Scientist with a background in product analytics and a proven track record of managing stakeholder relationships. As a Data Scientist at Confluent, you will be a key player in helping define the experiences and driving product strategy at Confluent. You will collaborate with our Product leadership team and cross-functional partners across the Data organization. You will use data and analysis to identify and solve product development’s challenges, unlocking growth of our product adoption funnel. This role requires a strong blend of technical skills, strategic thinking and communication skills to influence product strategy and investment decisions.
What You Will Do
At Confluent, equality is a core tenet of our culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. The more diverse we are, the richer our community and the broader our impact. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law.
At Confluent, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including work history, education, professional experience, and location. This position has an annual estimated salary of $160,100 - $188,100 and a competitive equity package. The actual pay may vary depending on your skills, qualifications, experience, and work location. In addition, Confluent offers a wide range of employee benefits. To learn more about our benefits click HERE (https://confluentbenefits.com/) .
Click HERE (https://www.confluent.io/legal/confluent-candidate-privacy-notice/) to review our Candidate Privacy Notice which describes how and when Confluent, Inc., and its group companies, collects, uses, and shares certain personal information of California job applicants and prospective employees.
With Confluent, organizations can harness the full power of continuously flowing data to innovate and win in the modern digital world. We have a purpose that drives us to do better every day – we're creating an entirely new category within data infrastructure - data streaming. This technology will allow every organization to create experiences and use the power of data in ways that profoundly impact the way we all live. This impact is our purpose and drives us to do better every day.
One Confluent. One team. One Data Streaming Platform.
Data Connects Us.
About The Role
The mission of the Data Science team at Confluent is to serve as the central nervous system of all things data for the company: we build analytics infrastructure, metrics, insights, and models. Our outputs enable data-driven thinking and help optimize every part of the business. There are limitless opportunities for an ambitious data scientist to make an immediate and meaningful impact within a high-growth company.
We are looking for a highly skilled Data Scientist with a background in product analytics and a proven track record of managing stakeholder relationships. As a Data Scientist at Confluent, you will be a key player in helping define the experiences and driving product strategy at Confluent. You will collaborate with our Product leadership team and cross-functional partners across the Data organization. You will use data and analysis to identify and solve product development’s challenges, unlocking growth of our product adoption funnel. This role requires a strong blend of technical skills, strategic thinking and communication skills to influence product strategy and investment decisions.
What You Will Do
- Collaborate with product managers, product engineers, and other stakeholders to define and measure success metrics for product features and initiatives.
- Develop and maintain dashboards, reports, and visualizations to communicate key metrics and insights to stakeholders.
- Utilize data to uncover trends, identify opportunities for growth, and drive strategic product decisions.
- Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to improve product experience
- Share actionable insights and recommendations with leadership at various levels, playing a pivotal role in determining Product strategy
- Strong stakeholder management skills with the ability to influence and build relationships at all levels of the organization.
- 3 years of experience in Product Data Science/Analytics
- Excellent communication skills, and ability to collaborate effectively with technical and non-technical stakeholders
- Exceptional problem solving skills and analytical skills
- Strong proficiency in data manipulation with data querying languages (e.g. SQL). Proficiency in scripting languages (e.g. Python) preferred.
- Proficiency in data visualization and building dashboards with tools such as Tableau
- Experience and familiarity with A/B testing and experiment best practices
- Bachelor or advanced degree in a quantitative discipline: computer science, engineering, statistics, economics, etc.
- Experience and knowledge of causal inference, machine learning and other advanced analytical methods
- Experience in SaaS/Product-led Growth companies
At Confluent, equality is a core tenet of our culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. The more diverse we are, the richer our community and the broader our impact. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law.
At Confluent, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including work history, education, professional experience, and location. This position has an annual estimated salary of $160,100 - $188,100 and a competitive equity package. The actual pay may vary depending on your skills, qualifications, experience, and work location. In addition, Confluent offers a wide range of employee benefits. To learn more about our benefits click HERE (https://confluentbenefits.com/) .
Click HERE (https://www.confluent.io/legal/confluent-candidate-privacy-notice/) to review our Candidate Privacy Notice which describes how and when Confluent, Inc., and its group companies, collects, uses, and shares certain personal information of California job applicants and prospective employees.
Salary : $160,100 - $188,100
