Highly Skilled Data Science Expert
10 hours ago
LinkedIn, a global professional network, is seeking an accomplished data science expert to join its team. This role offers a unique opportunity to leverage big data to drive business decisions and deliver actionable insights.
About the RoleThe successful candidate will work closely with cross-functional teams, including product, marketing, sales, engineering, and operations, to develop infrastructure and deliver tools or data structures that enable data-driven decision-making. Key responsibilities include:
- Collaborating with high-performing data science professionals and cross-functional teams to identify business opportunities and build scalable data solutions;
- Developing data expertise and managing complex data systems for products or groups of products;
- Performing data transformations to serve products that empower data-driven decision making;
- Building and managing data pipelines, designing and architecting databases;
- Establishing efficient design and programming patterns for engineers and non-technical partners;
This position requires strong technical acumen and business savviness, with a passion for making an impact by enabling producers and consumers of data insight to work smarter.
RequirementsTo be considered for this role, applicants should possess:
- A Bachelor's Degree in a quantitative discipline, such as computer science, statistics, operations research, informatics, engineering, applied mathematics, economics, etc.
- At least 5 years of relevant industry experience working with large amounts of data;
- Experience with SQL/Relational databases and at least one programming language (e.g., R, Python, Java, Scala, PHP);
Preferred qualifications include a Master's or Ph.D. in a quantitative discipline and experience working with large datasets, developing data pipelines using Spark and Hive, and manipulating massive-scale structured and unstructured data.
BenefitsAs a LinkedIn employee, you can expect a competitive salary of $120,000-$180,000 per year, depending on location, plus generous health and wellness programs, time away for employees of all levels, and a comprehensive equal employment opportunity policy. The estimated salary range is based on the company overview, job description, and location.
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