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Remote Public Policy Data Science Jobs in California

Sr. Data Scientist

San Francisco, CA · Remote

$162K - $238K/yr

Strong foundation in Machine Learning, Statistics, and Applied Data Science. * Experience with ... California Recruitment Privacy Notice and Policy

This is a full-time onsite role based in Bentonville, AR or Sunnyvale, CA; remote and hybrid ... Experience with Causal Inference & Decision Science: Impact estimation,counterfactuals, and policy ...

Neighbors, public agencies, and businesses use Nextdoor to connect around local information that ... The Data Science group is made up of people from a diverse set of backgrounds and perspectives ...

... science, bioinformatics, biostatistics, epidemiology, immunology, public health, or related ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

This is full-time remote position. Key Responsibilities * Develop, deploy and monitor predictive ... Maintain a pulse on the current state of data science and basketball analytics * Other duties as ...

Data Scientist II

Irvine, CA · On-site +1

$82K - $127K/yr

This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ... Translate business and operational needs into scalable data science solutions and modeling ...

This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ... Translate business and operational needs into scalable data science solutions and modeling ...

Remote : OK Job role: As a data analyst, you will be responsible for compiling actionable insights ... Science), preferably with work experience of over 2-3 years (open to talk to freshers as well)

On-site ( #LI-Onsite ), Hybrid ( #LI-Hybrid ), Remote ( #LI-Remote ) Farmers believes in a culture ... Position requires a Bachelor's degree, or foreign equivalent, in Computer Science, Data Science ...

Showing results 41-60

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Sr. Data Scientist, tvScientific

Pinterest

San Francisco, CA • On-site, Remote

Full-time

Re-posted 25 days ago


Job description

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

As a key member of our Data Science team, you'll be responsible for turning data into actionable insights, driving business decisions, and owning analytics projects from inception to completion. Day to day, your role will involve developing customized reporting and analytics tools to meet the unique needs of our clients. 

What you'll do:

  • Write production code in Python.
  • Design, launch, and analyze experiments to optimize ad campaigns.
  • Create reporting and analytics tools for the Data Science Team's customers.
  • Translate insights from reporting tools into tvScientific's Data Science Product.

What we're looking for:

  • Ability to write and review production-level code in Python.
  • Strong statistics and ML fundamentals.
  • Desire to work in a fast-growing environment-comfortable with ambiguity, ownership, scaling new products, and an experimental, iterative development process.
  • Experience defining and measuring the utility of new reporting and analytics tools.
  • Ability to quickly translate between DS Analytics & DS Product team.
  • Strong track record of providing high-quality service to the DS team's customers/stakeholders.
  • Adtech or CTV experience.
  • Bachelor's degree in computer science, statistics, a related field or equivalent experience.
  • Big data experience with Scala, Apache Spark, Apache Beam, and AWS Athena is a plus.
  • Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
  • Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
  • High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables

In-Office Requirement Statement:

  • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.


Relocation Statement:

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

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