Principle Data Scientist job vacancy

Vacancy expired!

One of our clients in Los Angeles area is looking for a Principle Data Scientist with the following skills and experience.

Are you looking for a high impact position that will leverage your data science, analytical, business and technical skills? Do you enjoy working with complex data sets to conduct deep dive analysis that expands the understanding of business performance and drives change? If you excel at delivering, communicating robust data analysis, and want to influence the future of television, then this position is for you. Our client is seeking a Principal Data Scientist - Enterprise Analytics to join our Data & Decision Science organization. The Principal Data Scientist's primary role is to support our business panthers by developing business changing analytic capabilities and supporting enterprise-level cross-segment projects. The Principal Data Scientist is also expected to develop a rich understanding of how consumers interact with our brands and deliver new capabilities to Media & Entertainment Distribution to increase consumer engagement and serve our consumers better than ever. The ideal candidate will have strong experience in mathematics & statistical techniques across varied fields and industries, plus a deep understanding of consumer behaviors related to marketing, content development, and digital experiences.

Required Qualifications

Degree in Statistics, Econometrics, Mathematics, Operations Research, Computer Science, or equivalent/related degree. 6+ years of experience working in a role focused on consumer analytics, measurement, quantitative research, or related field. 6+ years of experience building and applying predictive models for causal inference, attribution, forecasting, segmentation, or optimization. 6+ years of experience with complex, Big Data databases (Hadoop, Snowflake, BigQuery, Redshift, etc.), statistical programs and other tools (Spark, Python, R, etc.) with an aptitude to learn other technical applications quickly to compile and interpret quantitative data. Proven track record of extracting accurate conclusions and identifying trends from quantitative information. Experience participating in and successfully delivering large scale, multi-month, enterprise initiatives. Proficient knowledge and experience in visualizing and communicating complex quantitative analysis in a clear, precise, and actionable manner. Experience solving difficult and unclear analytical problems using a combination of scientific approaches from the fields of mathematics, statistics, and operation research.

Desired Qualifications 4+ years of experience working in marketing, digital experiences, or other consumer-focused roles focused on consumer driven analytics including building out consumer based models. Experience working with marketing and response data from various media channels, including television, social media, online video, search, email, mobile, and SMS. Experience working with structure and unstructured data Experience working with video stream, linear viewership data, and digital data. Experience working with ad sales data for the media/publishing industry, including rate card, GRPs, Nielsen ratings, and inventory forecasts

Responsibilities Provide technical mentorship for junior team members. Deliver data driven business changing capabilities that businesses and other Analytics & Data Science teams can leverage as a strategic capability and driver of incremental revenue opportunities across Linear Networks, Ad Sales, Streaming, and Studios. Develop and quantify KPIs to measure viewer content quality, engagement, and marketing effectiveness. Conduct exploratory data mining and analysis to understand customer engagement and retention to identify trends and insights in audience data to improve engagement. Continuously drive toward efficiency by simplifying and automating where possible, eliminating redundancy across the organization, refining metrics, and building new reports as needed to support decision-making. Ability to develop effective relationships with business partners and peers- including other analytics & data science teams, marketing, creative, ad sales, digital and programming teams - to understand core business issues and to communicate actionable, impactful insights across Linear Networks, Ad Sales, Streaming, and Studios. Assure quality and accuracy of deliverables through thorough interaction with business partners to understand and refine requirements and adherence to privacy, governance standards, and quantitative practices.

Interested candidates may submit their resumes online or call at 310-906-4780 for further information regarding the position.

Beacon Hill is an Equal Opportunity Employer that values the strength diversity brings to the workplace. Individuals with Disabilities and Protected Veterans are encouraged to apply.

Company Profile:

Beacon Hill Technologies, a premier National Information Technology Staffing Group, provides world class technology talent across all industries utilizing a complete suite of staffing services. Beacon Hill Technologies' dedicated team of recruiting and staffing experts consistently delivers quality IT professionals to solve our customers' technical and business needs.

Beacon Hill Technologies covers a broad spectrum of IT positions, including Project Management and Business Analysis, Programming/Development, Database, Infrastructure, Quality Assurance, Production/Support and ERP roles.

Learn more about Beacon Hill Staffing Group and our specialty divisions, Beacon Hill Associates, Beacon Hill Financial, Beacon Hill HR, Beacon Hill Legal, Beacon Hill Life Sciences and Beacon Hill Technologies by visiting www.beaconhillstaffing.com.

We look forward to working with you.

Beacon Hill. Employing the Future

Vacancy expired!

ID	#21742388
State	California
City	Los angeles
Job type	Contract
Salary	USD TBD TBD
Source	Beacon Hill Technologies
Showed	2021-10-27
Date	2021-10-27
Deadline	2021-12-25
Category	Et cetera
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Job Details

Principle Data Scientist

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