Job summary
Job post source
This job is from a recruiting firm hiring for a separate company, Adobe, as the description focuses on Adobe's role and not Jobright.ai.
Job overview
The Data Scientist, Entry Level at Adobe will analyze large data sets to drive business decisions and optimize monetization growth through statistical analysis and data interpretation.
Responsibilities and impact
The role involves conducting statistical analysis of revenue growth and A/B tests, interpreting results for partners, handling complex data from multiple sources, and collaborating with cross-functional teams to improve product and customer experience.
Experience and skills
Candidates need a Master's or PhD in a related field or equivalent experience, at least 2 years as a Data Scientist, expertise in A/B testing and statistics, experience with big data platforms like Databricks or Spark, and proficiency in Python and SQL along with data storytelling skills.
Company information
Adobe is a software company specializing in digital marketing and media solutions.
Company overview
Jobright.ai is a technology company focused on leveraging artificial intelligence to streamline and enhance the job search and recruitment process for both candidates and employers. The company generates revenue primarily through subscription-based services and partnerships with organizations seeking to optimize hiring, offering tools such as AI-powered resume analysis, job matching, and interview preparation. Founded to address inefficiencies in traditional recruitment, Jobright.ai has positioned itself as an innovator in the HR tech space, emphasizing automation and data-driven insights. Notable milestones include the launch of its proprietary AI algorithms and collaborations with major job boards and corporate clients. Candidates should be aware of Jobright.ai’s commitment to ethical AI practices and its rapidly evolving product suite.
How to land this job
Tailor your resume to emphasize your expertise in statistical analysis, A/B testing, and experience with big data platforms like Databricks or Apache Spark, as these are core to the Data Scientist role at Jobright.ai.
Highlight your proficiency in Python and SQL, along with your ability to interpret complex data and translate it into clear, actionable insights using storytelling and visualization techniques.
Apply through multiple channels including Jobright.ai's official career page and LinkedIn to maximize your application visibility and increase your chances of being noticed.
Connect with current Data Scientists or team members in the Monetization Growth organization at Jobright.ai on LinkedIn; start conversations with ice breakers like commenting on recent projects they've shared or asking about their experience working on data-driven growth initiatives.
Optimize your resume for ATS by incorporating keywords from the job description such as 'statistical analysis,' 'A/B testing,' 'big data,' 'Python,' 'SQL,' and 'data storytelling' to ensure it passes automated screening systems.
Use Jennie Johnson's Power Apply feature to automate tailoring your resume, find all relevant application portals, and identify LinkedIn connections for networking, saving you time and increasing your chance of success.
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