Looking Data Scientist - Culver City, United States - Dice

Description

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Talnq Inc, is seeking the following. Apply via Dice today

We have a new opening for a Data Scientist position in Culver City, CA. We're seeking local candidates available for in-person interviews.


Job Title:
Data Scientist


Location:
Culver City, CA

Direct Hire - Full-Time Position

Having work experience with entertainment companies like Disney or Warner Brothers is considered a plus.


Qualifications:

Must have an in-depth knowledge of advanced statistical techniques, machine learning, feature engineering, and model evaluation techniques including regressions, cluster analysis test design, variable reduction, non-parametric tests and forecasting methodologies.

A working knowledge of data privacy, COPPA, CCPA and GDPR.
Experience with A/B testing and test designs
Experience with big data, standardizing and appending variables across disparate data sets
Experience analyzing user level data (PII and anonymized), DMP data, social data and viewing / transactional or streaming data.
Experience in Salesforce SAQL, Einstein Predictive Analytics is a must.
At least 5 years of experience developing production ML models to solve problems such as product recommendations, audience classification, path modelling, look-a-like modelling and performance optimization
MS/PhD degree required with technical focus (e.g. mathematics, computer science, physics)
Ability to work with data and platform engineers to implement ML pipelines
Experience with R and SQL and preferably a scripting language (Perl, Python)
Strong experience in Google Cloud, AWS, or other cloud platforms a must
Business experience in media industry preferred, but not required

Results oriented, excel in organizational skills, have strong attention to details and be able to effectively manage multiple projects/assignments simultaneously.

Curious about data and problem solving: intrinsic ability to look at data and identify patterns, problems, or analysis opportunities
Strong communication skills and the ability to explain complex analyses to both technical and non-technical audiences
Effective data visualization skills with analytical tools such as Tableau, Shiny, DASH, Periscope
Collaborative a team player who can thrive as an individual but also enjoys learning new approaches, and being collaborative in cross-functional teams


Job Duties:
Execute the data vision strategy and goals ensuring those are consistent with the Division s business requirements.
As part of the Data Science team, help develop analytical capabilities, data products and tools to enable data query and deliver solutions to business requests
Contribute and provide thought leadership to the business and key stakeholders.

Develop new approaches to understand the consumer and solve complex business problems such as optimizing product performance, gross profit and adoption.

Generate actionable audience insights using advanced statistical techniques such as predictive statistical models, audience profiling, segmentation analysis, survey and test design, exploratory analysis and data mining.

Understand in depth, design and inform statistical testing for audience strategy
Design user interfaces to overlay ML models, and enable business partners to access models, query results and scenarios.
Build presentations and reports to communicate statistical modeling results

Can manage ingestion and cleansing of large unstructured data and developing analytical capability to query the data and respond to user requests using a wide range of technologies including.

Productionalize codes and models via various tools and technologies (such as R Connect and R Studio) to deliver scale, efficiency and speed.

Profile, explore, connect and analyze extensive, often disjointed, and unstructured datasets including product meta data, user level data, primary research, audience profiles, social commentary and DMP data.

Looking Data Scientist
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