Staff Data Scientist (Decision Scientist)
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Job Location:
Monthly Salary:
Posted on:
15 hours ago
Vacancies:
1 Vacancy
Department:
Job Summary
LinkedIn member 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 anywhere in an environment that truly values data-driven decisions.
About the team -
The Trust Data Science team at LinkedIn works in close partnership with the trust engineering content moderator and product teams to identify opportunities to develop and enhance LinkedIn member experiences. A few examples include: enabling our trust & security team (content reviewers) to be effective through data driven insights and minimize damage to our members optimize member account access experience while defending attacks provide insights to improve feed content quality on site analyze trust/security features performance through product A/B testing etc.
You will have the opportunity to work with and lead highly passionate data scientists as well as our brilliant cross-functional partner teams in Engineering Product Management and Design. Together we are creating immense economic value for our customers using the largest global professional economic graph.
At LinkedIn our approach to flexible work is centered on trust and optimized for culture connection clarity and the evolving needs of our business. The work location of this role is hybrid meaning it will be performed both from home and from a LinkedIn office on select days as determined by the business needs of the team.
Responsibilities:
- We inform product strategy influence the product roadmap and guide product decisions by
- Accessing and analyzing the worlds richest professional data to generate insights and make proactive recommendations.
- Formulating success metrics for completely novel products and creating dashboards/reports to monitor them.
- Designing and analyzing experiments to test new product ideas.
- Developing models and data-driven solutions that add material lift to principal performance metrics.
Qualifications :
Basic Qualifications:
- BS/MS in a quantitative discipline: Statistics Applied Mathematics Operations Research Computer Science Engineering Economics etc.
- 10 years of experience working with large amounts of real data with SQL (Teradata Oracle or MySQL) and R or other statistical package.
- 10 years of experience in a Unix/Linux environment for automating processes with shell scripting.
Preferred Qualifications:
- Experience with Consumer Internet products.
- Experience programming in Python Java or another programming language - Pig experience desired.
- Ability to translate business objectives into actionable analyses.
- Ability to communicate findings clearly to both technical and non-technical audiences
- Knowledge in one of the following areas is a strong plus: Viral Growth mechanisms user acquisition in International markets Search Engine Optimization (SEO)
- Expertise in applied statistics understanding of controlled experiments.
- Cross-cultural background and experience
Suggested Skills:
- Sql
- Data visualization
- Hive
Additional Information :
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 Data Privacy Notice for Job Candidates
Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: Work :
No
Employment Type :
Full-time
Key Skills
- Laboratory Experience
- Bioinformatics
- Biochemistry
- Utility Locating
- Assays
- Research Experience
- Next Generation Sequencing
- Sensors
- Signal Processing
- Matlab
- Research & Development
- Molecular Biology
About Company
LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re ... View more
