Senior Data Scientist
Data Science
Bengaluru, Karnataka, India
Posted on Thursday, September 5, 2024
Senior Data Scientist
LinkedIn is the world’s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.
LinkedIn data is amazingly rich and provides a fantastic opportunity for Data Scientists to explore and create, ultimately developing ways for members to improve their professional lives. You will have the opportunity to work with some of the best data people in the world in an environment that truly values data-driven decisions.
Data Scientists on our team partner with product managers, engineers, designers and others to form a cross-functional team driving LinkedIn membership growth and engagement. We are looking for strong, enthusiastic data scientists to join our team in Bangalore, India focusing on Products that create value for LinkedIn's global member base.
At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together.
Responsibilities:
* Work with a team of high-performing data science professionals, product managers, engineers & designers to identify business opportunities and optimize member experiences at LinkedIn.
* Reporting and Monitoring: Design, create and automate reports and dashboards to track key business metrics. ETL data, clean and validate data for scalable leverage of new metrics into our self-serve data system and experimentation platform.
* Product Analytics: Design and analyze experiments to test new product/feature ideas and convert the results into actionable business recommendations. Formulate success metrics for initiatives, create and automate dashboards/reports to monitor them and quickly identify the root cause of the anomaly.
* Influencing product strategy & driving impact: Deep dive into an area, find insights and understand the root cause of an observed trend, and translate the insights into actionable recommendations influencing product roadmaps. Implement the solution and monitor the performance & impact.
* Develop and improve predictive models to optimize user experience and operational efficiency.
* Craft compelling stories; make logical recommendations; drive informed actions.
* Explain complex problems to a variety of audience; Drive meetings and lead discussions.
* Perform ad-hoc analysis at a timely manner
Basic Qualifications:
* 5+ years relevant industry or relevant academia experience in Analytics/Data Science working with large amounts of data.
* Experience with SQL/Relational databases
* Experience with data visualization tools (eg. Tableau, BI dashboarding, R visualization packages, etc.)
* Experience in data analysis in Spark/HDFS and Scala/Hive
* Experience running platform experiments and techniques like A/B testing
Preferred Qualifications
* Experience working on Consumer Internet products
* Experience in applied statistics and statistical modeling in at least one statistical software package, (eg. R, SPSS)
* Advanced degree in quantitative fields - Computer Science, Engineering, Operational Research, mathematics, Statistics, Economics, etc.
* Strong analytical skills
* Strong business mindset and strong problem-solving skills
* Excellent communications skills. Candidate should be able to explain complex problems to a variety of audiences. Candidate should be able to drive meetings and lead discussions
Suggested Skills:
* SQL
* Data Manipulation
* Statistics
You will Benefit from our Culture:
We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
India Disability Policy
LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf
Global Data Privacy Notice for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal
LinkedIn is the world’s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.
LinkedIn data is amazingly rich and provides a fantastic opportunity for Data Scientists to explore and create, ultimately developing ways for members to improve their professional lives. You will have the opportunity to work with some of the best data people in the world in an environment that truly values data-driven decisions.
Data Scientists on our team partner with product managers, engineers, designers and others to form a cross-functional team driving LinkedIn membership growth and engagement. We are looking for strong, enthusiastic data scientists to join our team in Bangalore, India focusing on Products that create value for LinkedIn's global member base.
At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together.
Responsibilities:
* Work with a team of high-performing data science professionals, product managers, engineers & designers to identify business opportunities and optimize member experiences at LinkedIn.
* Reporting and Monitoring: Design, create and automate reports and dashboards to track key business metrics. ETL data, clean and validate data for scalable leverage of new metrics into our self-serve data system and experimentation platform.
* Product Analytics: Design and analyze experiments to test new product/feature ideas and convert the results into actionable business recommendations. Formulate success metrics for initiatives, create and automate dashboards/reports to monitor them and quickly identify the root cause of the anomaly.
* Influencing product strategy & driving impact: Deep dive into an area, find insights and understand the root cause of an observed trend, and translate the insights into actionable recommendations influencing product roadmaps. Implement the solution and monitor the performance & impact.
* Develop and improve predictive models to optimize user experience and operational efficiency.
* Craft compelling stories; make logical recommendations; drive informed actions.
* Explain complex problems to a variety of audience; Drive meetings and lead discussions.
* Perform ad-hoc analysis at a timely manner
Basic Qualifications:
* 5+ years relevant industry or relevant academia experience in Analytics/Data Science working with large amounts of data.
* Experience with SQL/Relational databases
* Experience with data visualization tools (eg. Tableau, BI dashboarding, R visualization packages, etc.)
* Experience in data analysis in Spark/HDFS and Scala/Hive
* Experience running platform experiments and techniques like A/B testing
Preferred Qualifications
* Experience working on Consumer Internet products
* Experience in applied statistics and statistical modeling in at least one statistical software package, (eg. R, SPSS)
* Advanced degree in quantitative fields - Computer Science, Engineering, Operational Research, mathematics, Statistics, Economics, etc.
* Strong analytical skills
* Strong business mindset and strong problem-solving skills
* Excellent communications skills. Candidate should be able to explain complex problems to a variety of audiences. Candidate should be able to drive meetings and lead discussions
Suggested Skills:
* SQL
* Data Manipulation
* Statistics
You will Benefit from our Culture:
We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
India Disability Policy
LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf
Global Data Privacy Notice for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal