Location
Sunnyvale, CA | United States
Job description
Data Science Analyst #13244
A leading professional networking company is seeking a Software Engineer . The successful candidate will work closely with various cross-functional teams such as product, marketing, sales, engineering, and operations to develop infrastructure and deliver tools or data structures that enable data-driven decision-making. The ideal candidate has 4+ years of relevant industry or relevant academia experience working with large amounts of data . The company offers a great work environment!
Data Science Analyst Pay and Benefits:
- Hourly pay: $50-$60 (Pay varies based on candidate's location and experience)
- Worksite: Leading professional development and networking company ( Remote, candidates must be located in the United States)
- W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program
- 40 hours/week, 6 Month Assignment
Data Science Analyst Responsibilities:
- Work with a team of high-performing data science professionals, and cross-functional teams to identify business opportunities and build scalable data solutions.
- Build data expertise, act like an owner for the company, and manage complex data systems for a product or a group of products.
- Perform all of the necessary data transformations to serve products that empower data-driven decision-making.
- Establish efficient design and programming patterns for engineers as well as for non-technical partners.
- Design, implement, integrate, and document performant systems or components for data flows or applications that power analysis at a massive scale.
- Ensure best practices and standards in our data ecosystem are shared across teams.
- Understand the analytical objectives to make logical recommendations and drive informed actions.
- Engage with internal data platform teams to prototype and validate tools developed in-house to derive insight from very large datasets or automate complex algorithms.
- Contribute to engineering innovations that fuel LinkedIn’s vision and mission.
- Analyzing large datasets to uncover trends, patterns, and insights.
- Developing predictive models to forecast business outcomes and support decision-making processes.
Data Science Analyst Qualifications:
- 2+ years of experience in applying analytical and statistical methods to real-world business problems. Demonstrated ability to deliver actionable insights and recommendations from complex datasets to drive business decisions and outcomes.
- 4+ years of relevant industry or relevant academia experience working with large amounts of data, and with at least one programming language (e.g., R, Python, Java, Scala, PHP, JavaScript).
- Bachelor's Degree in a quantitative discipline: Computer Science, Statistics, Operations Research, Informatics, Engineering, Applied Mathematics, Economics, etc.
- MS or PhD in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc. (/preferred).
- Experience with SQL/Relational databases.
- Experience working with databases that power APIs for front-end applications.
- Experience with either data workflows/modeling, front-end engineering, or back-end engineering.
- Experience in developing data pipelines using Spark and Hive.
- Experience with data modeling, ETL (Extraction, Transformation & Load) concepts, and patterns for efficient data governance.
- Deep understanding of technical and functional designs for relational and MPP Databases.
- Experience working in the product analytics domains.
- Experience in data visualization and dashboard design including tools such as Tableau, R visualization packages, D3, and other Javascript libraries, etc.
- Background in at least one programming language (e.g. Python, Java, Scala, PHP, JavaScript).
- Knowledge of Unix and Unix-like systems, git, and review board.
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