Data Scientist

Irvine, CA 92618

Posted: 06/25/2019 Category: Data Science Job Number: 281672-2_1 Salary: $90,000 - 110,000
Title: Data Scientist
Location: Irvine, CA
Salary: $90,000 - 110,000
Contact: Paul Chatlos, [email protected]

Data Scientist Responsibilities

Data Munging

-Collect data from a wide variety of corporate databases and Excel files.
-Utilize your toolset in regular expressions to extract information from un-structured text documents and the web.
-Handle missing data through an algorithmic approach such as multiple imputations to enable insights in sparse and messy data.
-Use your inner whiz-kid to feature engineer the data to boost model accuracy.

Data Scientist Predictive Modeling

-Utilizing your algorithmic/programming toolkit, build predictive models to drive acquisition, engagement and retention and improve growth and profitability, and other such key performance indicators for our business.
-More specifically, apply algorithms equal or similar to the following: elastic net regularization for regression, random forests, generalized boosted models, generalized additive models, support vector machines, neural networks, and time-series forecasting. Ability to communicate implications of the level of confidence in each of the models.
-Implement formal modeling processes from end to end including data gathering, data profiling, numerical model building, calibration, cross-validation, putting product into production, etc.
-After building the models, pilot "scorecards" to track model performance and calculated improvement to business.
-Explain complex modeling approaches in layman's terms and discuss modeling results and business case impacts with non-technical business users.

Data Scientist Test/Learn Analytics

-Develop a portfolio of test and learn programs, lead the test design and measurements/goals and manage the day-to-day execution of the corresponding analyses.
-Establish robust A/B and fractional factorial testing methodologies including sample size requirements for readability and go/no-go criteria for scaling.
-Lean-out testing processes to cut end-to-end cycles times and accelerate weekly test cadence.
-Manage testing calendar and minimize test collisions given test objectives and audiences.
-Establish tracking of value identified, validated in-market, and scaled across marketing channels and eCommerce.
-Create, maintain, and deliver dashboards and reports for KPI results from test measurements and communicate results to key stakeholders.
-Monitor and interpret results and suggest next steps for new test and rollout of programs to key stakeholders.
-Conduct ad hoc analysis for internal partners as requested, including in-depth funnel and conversion analysis
-Support the maintenance and development of web analytics platforms.
Data Scientist Customer Glidepath and Audience Management
-Develop and maintain comprehensive customer segmentation models and recommendations for key focus segments.
-Identify targeted audiences to optimize marketing communications for digital media, on-site personalization, and one-to-one marketing (e.g., email, SMS, and direct mail) leveraging transactional data, online-browse behaviors, and 3rd parties.
-Develop thought leadership on best variables and fields to define key audiences for customer glidepath management efforts.
-Partner with IT to build, manage, and refresh audiences in relational databases and campaign management platforms to execute segmented marketing programs.
-Lead deep dives to identify highest performing audiences in digital media, on-site personalization, retargeting, and one-to-one marketing campaigns.
-Develop audience targeting plans for media buying, on-site personalization, and one to one vehicles.
-Collaborate with vendors to build audiences in external databases and systems (e.g., DMP, third-party demographic data, etc.).
-Execute ad-hoc analyses as requested by leadership for development of segmented contact strategies.


Paul Chatlos
Executive Recruiter

Paul specializes in the recruitment of quantitative marketing professionals. He prides himself in building excellent relationships with both clients and candidates in order to best address their hiring needs and career goals.
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