Data Scientist

Work Location: HYBRID - Los Angeles, CA

Description:

• We are looking for an enthusiastic data science contractor to improve our machine learning products to optimize content and marketing investment decisions.
• You will support our existing suite of subscriber propensity and content forecasting models by leveraging datasets collected from tens of millions of users as they engage with content.
• These models will enable you to create user or content level insights and forecasts to guide Finance and Marketing decisions.
• An ideal candidate would be someone with a track record of building and deploying models, excellent communication skills, and interest in the streaming entertainment industry

education: No Degree Required

Responsibilities:

• Design implement optimize and maintain machine learning models to predict content performance
• Build and deploy end-to-end ML pipelines that can handle largescale data efficiently
• Continuously monitor model performance in production via automation and iterate to maintain relevance
• Experiment with novel methods to improve forecasting accuracy and interpretability
• Work closely with other data scientists business intelligence finance and content teams for any adhoc forecasting needs
• Validate models through backtesting and evaluation of observed data
• Deliver data insights at the appropriate level of detail and perform fast followup to feedback

Required:

• 2 years experience in Data Science and ML Engineering
• MS or PhD in Statistics, Data Science, Computer Science, or related disciplines with specialization in machine learning techniques
• Knowledge of both supervised and unsupervised machine learning techniques
• Have full stack experience in data collection aggregation analysis visualization productionalization and monitoring of data science products
• The ability to write robust code in Python and leverage associated machine learning packages
• Experience using Jupyter Notebooks
• Familiarity with a variety of statistical models and methods ie causal methods treebased algorithms time series analysis regression analysis
• Communicate concisely and persuasively with engineers and product managers
• Strong detail orientation with a penchant for data accuracy
• Familiar with version control systems Git BitBucket
• Must successfully pass a background check

Preferred:

• Experience using Google Cloud Platform BigQuery ML Engine and APIs
• Experience using project management tools like those from Atlassian JIRA Confluence
• Can wrangle data using SQL and Pandas
• Background in NLP or text mining techniques is a plus
• Background in deep learning and Tensorflow is a plus

skills: Mandatory Skills : Data Science and ML Engineering, Python, Jupyter Notebooks.

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility).

This posting is open for thirty (30) days.

Qualified applicants in San Francisco with criminal histories will be considered for employment in accordance with the San Francisco Fair Chance Ordinance.

Qualified applicants in the unincorporated areas of Los Angeles County with criminal histories will be considered for employment in accordance with the Los Angeles County's Fair Chance Ordinance for Employers.

We will consider for employment all qualified Applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance.