Data Scientist- Major Entertainment Studio

API, Agile, Business marketing, Analytics, KPI, Machine learning, NumPy, RStudio, SQL, Python, R, Modeling, Tableau, Visualization, scikit-learn, Project management, Marketing, Mathematics, Reporting, Roadmaps, Senior management, Presentations, Strategy, Strategic thinking, Statistics, Digital media, Decision-making, Data wrangling, Acquisition, CRM, Data modeling, Data management
Full Time
Depends on Experience

Job Description

Skillset:  R required, Tableau highly preferred, SQL required.  Work in agile framework and cloud environment desirable

Note:  marketing focus project work is ideal, presentation skills with all level of staff including senior management, and must have strong Data Scientist experience related to strategic analytics. Not seeking a Data Engineer/Analyst candidates.

The Data Scientist will join a practice charged with developing a roadmap for the Studio’s integration of data into their decision-making lifecycle. Success will require balancing assessing business needs, with the ability to be hands-on in the data, building machine learning models , tools and other granular statistical analyses. Team goals include adapting predictive models for the quickly changing marketplace, enhancing film recommender engines, and identifying new ways of guiding film greenlighting and early decision making.

Must have experience of extracting meaningful business insights from data, from data wrangling, to developing analytical frameworks and applying advanced statistical techniques. You will work across consumer, marketing and media-related data sets. The perfect candidate will need to be a self-starter who wants to change the fundamental approach to movie marketing.

The role requires a balance of heads down data science work, alongside strategic thinking, team planning, and communication required to be successful. Worthy applicants possess a broad and deep data science skillset, tangible hands-on business/marketing application, and an ability to work with and influence the Sony data science community.

Core Responsibilities:

Machine Learning Initiatives:  Predictive Box Office Modeling, Audience & Content Insights

  • Long Lead Signal Enhancement: support the improvement of the company's predictive box office tools, calibrating a wide variety of data sets to support robust predictive outputs. Creative thinking will be critical to generating meaningful insights from many disparate digital signals & datasets.

  • Audience / Content Insights & Ad-hoc Studies: using available data sets and machine learning tools to enable both modular and comprehensive research into drivers of moviegoing behavior, content effectiveness and an understanding of related proxy measures and data sets.  Scope of data and analysis dependent on business questions and iterative feedback to uncover new, more meaningful questions.

Data & Tools Strategy

  • Tool Development:  assess business needs to translate complex model outputs into tangible, actionable and interactive reports and tools.

  • Business Data Strategy:  participation in acquisition, assessment and deployment of new consumer, content and marketing data sets, alongside Engineering & IT teams.  Assess business needs to guide strategic integration and analysis of new data.

Cross-LOB Collaboration

  • Act as a connection point to the centralized audience activation and data management groups, providing guidance for how to blend and leverage media and other 1st party data to impact non-media marketing strategies and insights. 

Job Requirements:

Skill In:

  • Advanced Statistics – Supervised and unsupervised machine learning models, including regularization, feature engineering, training, as well as interpretation and integrity.  Experience with clustering, affinity analysis, segmentation, simulation, customer profiling.

  • Specific familiarity with xgboost, randomforest, caret, ggplot2 packages.

  • Programming – Expertise with SQL data models (logical, physical, conceptual), R (required), Python (a plus, NumPy, pandas, scikit-learn), R Shiny dashboards & other R Studio Connect apps, including familiarity with databases, data wrangling, maintenance, cleaning.  Comfort with ETL, API strategies.

  • Visualization & Presentation – Represent complex information in easily understood visualization (including Tableau, PowerPoint, etc).  Communicating clearly to executives, technology partners, agencies, and contributing to projects and meetings.

  • Project Management – Strong attention to detail, willingness to wear multiple hats, building and tracking a work plan in a fast-based environment.

Ability To:

  • Analyze and organize large data sets to create a cohesive story that can inform marketing strategies

  • Experiment with various tools and technologies, with the end goal of creating innovative data-driven insights at a quick pace.

  • Work collaboratively and horizontally across multiple teams with fragmented, vertical (title-by-title) priorities

  • Translate business objectives into analytical functions, including ability to quantitatively assess risk.

Knowledge of:   

  • Business Processes: Experience with Agile methodology (Jira), Git

  • Digital media/marketing landscape – Familiarity with addressable media strategies, CRM, ad-tech (i.e. Krux, DCM, Ads Data Hub), audience buying platforms and methodologies, digital KPIs

  • Film marketing & data science: basic strategies, campaign tactics and common social/digital KPIs.  Experience with survey-based and digital data sets preferred. Passion for movies, and knowledge of existing industry tools, studies, methodologies and data sets is a major plus!

Other:

  • BA/BS degree required with technical focus (e.g. mathematics, computer science, physics)

  • MS or PhD degree preferred

  • Minimum of 4-7 years of progressively complex related experience

Dice Id : techlink
Position Id : 00DSS
Originally Posted : 2 months ago
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