Experian is the power behind the data. As the leading holder of consumer and business credit data, we're transforming data into solutions that advance industries, move companies forward and improve the lives of millions of consumers around the world. In 2018, we were named by Forbes magazine as one of the "World's Most Innovative Companies" for the 5th year in a row.
Do you have a passion for data, analytics, market segmentation and problem solving? Do you enjoy thinking big while diving deep into the details of data to find patterns and business opportunities? Are you ready to apply the power of data and insights to drive business results and go-to-market strategies?
We are looking for a Sr. Data Scientist to play a key role within our growing Insights & Marketing team at Experian.
As a seasoned leader, you will make our data & insights more actionable and approachable that can help identify market opportunities, insights for Thought Leadership and more. You will also develop capabilities to provide advanced insights and predictive analytics to inform nextgen opportunities.
You will be accountable to drive results quickly and accurately, building partnerships across the enterprise to drive adoption of capabilities that drive insights, power sales and generate demand.
This position is based at our Orange County office located in Costa Mesa, CA.
Key job functions include:
Gathers, cleans, evaluates and documents large data sets from a variety of sources to identify trends and business opportunities
Develops tools for data processing and information retrieval
Applies, modifies and develops regressions and other models to answer strategic business questions
Identify/develop appropriate machine learning/deep learning/data mining/text mining techniques to uncover the value of the data
Designs data structure and data storage schemes for efficient data manipulation and information retrieval
Effectively summarizes and communicates results of analyses, developing recommendations to improve the business
Develops dashboards and reports, leveraging data visualization and other tools
Capable of presenting to both internal executive stakeholders and clients, quickly showing credibility and demonstrating excellent communication skills
Collaborates with other analytics personnel, improving data science approaches, efficiency and cadence of output
Documents and presents model process and model performance
Bachelor, Master, or PHD, in Computer Science, Math, Physics, Engineering, Data Science, Statistics, or related quantitative field
Advanced working R, Python, and Git experience
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases and connectors
Advanced working knowledge of Tableau or equivalent plus Alteryx experience
Experience with Salesforce SOQL and Oracle Eloqua queries and data integration
Experience with Oracle BI and Hyperion queries and connectors
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
Strong analytic skills related to working with unstructured datasets
Build data pipeline supporting data transformation, data structures, metadata, dependency and workload management
A successful history of manipulating, processing and extracting value from large disconnected datasets
Working knowledge of AWS, Azure, Hadoop and Spark is a plus
Strong project management and organizational skills
3 years managerial experience
5 years' experience in data science, computer science, or quantitative analysis
Experience building database roadmaps
Experience initiating and driving projects to completion with minimal guidance
Demonstrated track record of cultivating strong working relationships and driving results while collaborating and bringing others with you