Job Description :

Job Title: Senior Advanced Analytics / Data Scientist

Direct Client: AT&T 

Job ID: ATTJP00036849

Location: El Segundo, CA 90245

Duration: 12+ Months with possible extensions 

Interview Process: Phone/WebEx 

Number of Positions: 1 

*** Role is remote but there may be occasional situations where the NPW will need to occasionally report to the office. Open to receiving resumes from outside El Segundo
*Please include candidate interview availability within the resume. 


Required Skills: 

Data Scientist:







Top 5 Skills / Additional Job Posting Description Details * 

•  3+ years’ experience as a Data Scientist in a technology environment with emphasize on predictive analytics.

•  BS/BA in business, math, statistics, computer science or related quantitative fields; Advanced Degree preferred

•  Coding proficiency in in SQL(CTE), Python required

•  MPP/Cloud data warehouse solutions (Snowflake, Redshift, BigQuery, Vertica, Teradata etc.).

•  Must possess working knowledge with sourcing and modeling data from application APIs.

•  Motivated to explore new technologies and learn and can do so with minimal guidance.

•  Extensive experience in developing, maintaining, and managing Tableau driven dashboards.

•  Airflow, Grafana, DBT experiences preferred.

•  Experience in large media, technology, ecommerce, or other subscription-based company is a plus



  Designing algorithms to identify causal relationships, trigger points, performance issues and predictions on customer sales behavior, subscriber churn, and product engagement for our Video products.

•  Be a bridge between data engineering and the business, enabling insight that can empower better decision-making.

•  Develop self-service data tools, and other visual aids in support of findings.

•  Advise business partners with to patterns and relationships in the data to recommend business direction or outcomes

•  Ensure meaningful client value is delivered through a mix of data analyses, insights, skills capabilities, and original thinking.


Roles & Responsibilities:  

- Identifies unique opportunities to collect new data.
- Designs new processes and builds large, complex data sets.
- Strategizes new uses for data and its interaction with data design.
- Locates new data sources, analyzes statistics, and implements quality procedures.
- Performs data studies of new and diverse data sources.
- Finds new uses for existing data sources.
- Conducts statistical modeling and experiment design.
- Discovers “stories” told by the data and presents them to other scientists and business managers.
- Tests and validates predictive models.
- Builds web prototypes and performs data visualization.
- Conducts scalable data research on and off the cloud.
- Implements automated processes for efficiently producing scale models.
- Designs, modifies, and builds new data processes.
- Generates algorithms and creates computer models.
- Collaborates with database engineers and other scientists.
- Implements new or enhanced software designed to access and handle data more efficiently.
- Trains the data management team on new or updated procedures.


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