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Data Collection Supervisor Jobs in California (NOW HIRING)

Samprasoft

Data Scientist | HYBRID

Los Angeles, CA · On-site

Knowledge of both supervised and unsupervised machine learning techniques * Have full stack experience in data collection aggregation analysis visualization productionalization and monitoring of data ...

TaxRise

Billing and Collections Supervisor

Irvine, CA · On-site

$70K - $80K/yr

ABOUT THE ROLE The Billing and Collection Supervisor is responsible for overseeing all aspects of ... Analyze billing and collection data to evaluate team performance, productivity, and process ...

Kaav Inc.

Data Scientist | HYBRID

Los Angeles, CA · Hybrid

Knowledge of both supervised and unsupervised machine learning techniques * Have full stack experience in data collection aggregation analysis visualization productionalization and monitoring of data ...

Procyon TS

Data Scientist | HYBRID

Los Angeles, CA · Hybrid

Knowledge of both supervised and unsupervised machine learning techniques * Have full stack experience in data collection aggregation analysis visualization productionalization and monitoring of data ...

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Data Collection Supervisor information

What is a Data Collection Supervisor job?

A Data Collection Supervisor oversees the process of gathering, recording, and verifying data for research, business, or organizational purposes. They manage a team of data collectors, ensure data accuracy, and maintain compliance with relevant guidelines. This role requires strong leadership, attention to detail, and the ability to analyze and improve data collection procedures. Depending on the industry, they may work in fields like market research, healthcare, or government surveys.

What are the key skills and qualifications needed to thrive in the Data Collection Supervisor position, and why are they important?

To excel as a Data Collection Supervisor, you need strong analytical skills, attention to detail, and experience in data management, often supported by a degree in statistics, social sciences, or a related field. Familiarity with data collection software, survey tools, and spreadsheet applications such as Microsoft Excel or Google Sheets is commonly required, and certifications in data analytics can be advantageous. Outstanding organizational, leadership, and communication skills help you manage field teams, coordinate schedules, and ensure data quality. These abilities are crucial for maintaining accurate and reliable datasets, leading effective teams, and delivering actionable insights to stakeholders.

What are some common challenges a Data Collection Supervisor might face in this role?

As a Data Collection Supervisor, you may encounter challenges such as ensuring the accuracy and consistency of data collected across multiple team members or sites, managing tight deadlines, and adapting to changing project requirements. Balancing fieldwork supervision with administrative responsibilities can require strong organizational skills and the ability to multitask effectively. Additionally, you might frequently need to provide on-the-spot training or troubleshoot technical issues with data collection devices or software. Being proactive, adaptable, and a clear communicator can help you navigate these challenges and keep your team productive and motivated.
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Data Collection Supervisor jobs near you
Infographic showing various Data Collection Supervisor job openings in California as of May 2026, with employment types broken down into 1% As Needed, 92% Full Time, 3% Part Time, and 4% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution.
Data Scientist | HYBRID

Data Scientist | HYBRID

Samprasoft

Los Angeles, CA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Data Science Contractor

Work Location: HYBRID - Los Angeles, CA

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 on Paramount.

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

Responsibilities:

  • Design implement optimize and maintain machine learning models to predict content performance
  • Build and deploy endtoend 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

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

Apply