Professional, Data Scientist - Laguna Hills California

Company: DIRECTV
Location: Laguna Hills, California
Posted On: 04/24/2024

At DIRECTV, we rely on insightful data to power our systems and solutions. We're seeking an experienced data scientist to deliver insights daily. The ideal candidate will have mathematical and statistical expertise, along with natural curiosity and a creative mind. While mining, interpreting, and cleaning our data, this person will be relied on to ask questions, connect the dots, and uncover hidden opportunities for realizing the data's full potential for our Advertising Sales Business. As part of a team of specialists, the data scientist will "slice and dice" data using various methods and create new visions for the future.

Here's what you'll do:

Collaborate with product, operations, and engineering teams to develop an understanding of needs.
Research and devise innovative statistical models for data analysis.
Communicate findings to all stakeholders.
Enable smarter business processes by using analytics for meaningful insights.
Keep current with technical and industry developments.
Serve as lead data strategist to identify and integrate new datasets that can be leveraged through our product capabilities, and work closely with the engineering team in the development of data products.
Execute analytical experiments to help solve problems across various data domains; Subscriber, Viewership, Impression, Campaign Metadata, etc.
Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables.
Devise and utilize algorithms and models to mine big-data stores; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy.
Analyze data for trends and patterns, and interpret data with clear objectives in mind.
Implement analytical models in production by collaborating with software developers and machine-learning engineers.

Here's what you'll need:

Advanced college degree in Data Science, Computer Science, Business, Analytics, or in related fields and/or related experience preferred.
Typically requires hands-on related experience in advanced analytics, big data, data visualization in Looker, PowerBI or Tableau, SQL/Python coding of relational databases, as well as project management experience.
Work experience as a Data Scientist, Systems Analyst, or Data Engineer preferred; open to entry level experience.
Proficiency with data mining, mathematics, and statistical analysis.
Experience in translating business needs into technical requirements and deliverables.
Experience in pattern recognition and predictive modeling.
Ability to work effectively in a dynamic, research-oriented group that has several concurrent projects.
Experience working in the B2B Advertising industry.

This role requires, but is not limited to, 5% travel.

This is a remote position that can be located anywhere in the United States. #LI-Remote

Preferred location: New York City (and commutable surrounding areas).

A career with DIRECTV comes with big rewards:

DIRECTV's compensation structure is designed to be market-competitive and fully supports efforts to attract and retain employees. It is the company's policy to offer pay that is competitive with other employers in the local market. Our salary ranges are determined by role, level, and location.

The Base Salary range displayed below reflects the minimum and maximum target salary for each of DIRECTV's 4 (four) US Labor Market Zones. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

DIRECTV WAGE ZONES: $116,375 - $211,255

Low (N1): $116,375 - $174,515

Mid (N2): $122,500 - $183,700

High (N3): $134,750 - $202,070

Top (N4): $140,875 - $211,255

Click HERE to review information on some of the largest Designated Market Areas (DMAs). Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the salary ranges reflect base salary only and do not include bonus or benefits - when you consider all of these together, it represents a pretty impressive total compensation package.

Apply today!

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