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Live In Night Shift Data Science Jobs in California

Data Science Manager

San Francisco, CA · On-site

$160K - $220K/yr

Founded in 2016 to help transform the antiquated world of TV advertising through the intelligent ... We're looking for a Data Science Manager to lead our growing AI product data science function. This ...

Founded in 2016 to help transform the antiquated world of TV advertising through the intelligent ... We're looking for a Data Science Manager to lead our growing AI product data science function. This ...

Data Science Manager

Los Angeles, CA · On-site

$160K - $220K/yr

Founded in 2016 to help transform the antiquated world of TV advertising through the intelligent ... We're looking for a Data Science Manager to lead our growing AI product data science function. This ...

We have multiple openings for a Data Science Engineer with a background in applied machine learning ... These positions are in the Computational Engineering Division (CED), within the Engineering ...

Data Science Manager

San Francisco, CA · On-site

$160K - $220K/yr

Founded in 2016 to help transform the antiquated world of TV advertising through the intelligent ... We're looking for a Data Science Manager to lead our growing AI product data science function. This ...

Data Science Engineer

Livermore, CA · On-site

$121K - $154K/yr

Wehave multiple openings for early-career Data Science Engineers to join a team applying machine ... These positions are in the Computational Engineering Division (CED), within the Engineering ...

As an expert in the leading edge of AI and data science, you will direct the team on the ... methodologies, practices, algorithms, experiments and processes they perfo rm. * Hands On: You are ...

We have multiple openings for early-career Data Science Engineers to join a team applying machine ... These positions are in the Computational Engineering Division (CED), within the Engineering ...

The Manager Data Science is responsible for architecting, building, and deploying production-grade ... This individual has expertise in machine learning, statistical modeling, and data visualization to ...

Built by the team behind DEUNA-the fastest-growing Commerce OS in Latin America-ATHIA combines ... Collaborate with Data Scientists, Data Engineers, and Product teams on ongoing initiatives.

Built by the team behind DEUNA-the fastest-growing Commerce OS in Latin America-ATHIA combines ... Collaborate with Data Scientists, Data Engineers, and Product teams on ongoing initiatives.

Data Science Engineer

Livermore, CA · On-site

$121K - $154K/yr

We have multiple openings for early-career Data Science Engineers to join a team applying machine ... These positions are in the Computational Engineering Division (CED), within the Engineering ...

We know we're doing the right thing when we hear our customers say, "How did we ever live without ... Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected ...

Showing results 41-60

Live In Night Shift Data Science information

What is the difference between Live In Night Shift Data Science vs Live In Night Shift Data Analysis?

AspectLive In Night Shift Data ScienceLive In Night Shift Data Analysis
CredentialsBachelor's or higher in Data Science, Computer Science, or related fieldsBachelor's in Data Analysis, Statistics, or related fields
Work EnvironmentCollaborative teams, tech companies, or research labsBusiness settings, finance, or marketing firms
Industry UsageTech, finance, healthcare, researchRetail, marketing, finance, operations
Job FocusBuilding models, algorithms, predictive analyticsInterpreting data, generating reports, insights

Live In Night Shift Data Science involves developing complex models and algorithms, requiring advanced technical skills. In contrast, Live In Night Shift Data Analysis focuses on interpreting data and providing actionable insights. Both roles often require similar credentials and work environments but differ in technical depth and responsibilities.

What are popular job titles related to Live In Night Shift Data Science jobs in California? For Live In Night Shift Data Science jobs in California, the most frequently searched job titles are:
What job categories do people searching Live In Night Shift Data Science jobs in California look for? The top searched job categories for Live In Night Shift Data Science jobs in California are:
What cities in California are hiring for Live In Night Shift Data Science jobs? Cities in California with the most Live In Night Shift Data Science job openings:

Data Science Manager

Tatari

San Francisco, CA • On-site

$160K - $220K/yr

Full-time

Medical, Retirement, PTO

Re-posted 9 days ago


Job description

Tatari is on a mission to revolutionize TV advertising. Founded in 2016 to help transform the antiquated world of TV advertising through the intelligent application of AI and machine learning, Tatari helps some of the world's fastest growing brands including Chime, Calm, Tecovas, Manscaped, Saatva, and Liquid I.V., reach their customers using linear and streaming TV ads. Our platform combines sophisticated media buying with proprietary analytics to turn TV advertising into an automated, digital-like experience, enabling businesses of any size to advertise on TV.

That approach has earned Tatari broad industry recognition, including being named Best CTV AdTech Platform in the 8th annual MarTech Breakthrough Awards, as well as honors from Digiday (Best Connected TV Platform), AdExchanger (Most Innovative TV Advertising Technology), and Business Insider (Hottest AdTech Companies). Tatari has also been recognized as the Best Place to Work by Inc. Magazine. Backed by an executive team of former founders and senior leaders from companies including Shazam, TrueCar, AdapTV, LiveRail, Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next major era.

We're looking for a Data Science Manager to lead our growing AI product data science function. This is a foundational role focused on building and managing a small team of data scientists working on customer-facing features powered by machine learning and LLMs. You'll partner closely with Product, Engineering, and Platform teams to deliver fast-moving experiments, shape the roadmap for AI innovation, and lay the foundation for scalable, production-ready AI systems. While this is not an individual contributor (IC) role, we're looking for someone with the technical depth to meaningfully collaborate on modeling and system design, and the management experience to lead a team through execution. You'll play a central role in shaping how AI shows up in our product and how the team behind it grows.

Responsibilities:

  • Manage and grow a team of data scientists focused on AI/ML product development
  • Facilitate the team's design of algorithms and models to innovate, research, and deliver on product features that drive and expand our business opportunities
  • Empower the team to innovate and explore new methodologies and improve upon existing algorithms
  • Actively develop strong working relationships across Product, Engineering, and Infrastructure teams to foster alignment, drive shared decision-making, and accelerate delivery of AI-powered features
  • Collaborate with partner teams to define scope, translate product requirements into technical approaches, and ensure successful delivery
  • Own Data Science prioritization for AI/ML outcomes, allocate resources and manage workload 
  • Drive execution of AI/ML projects by tracking progress, aligning timelines with stakeholders, and ensuring timely, high-quality delivery
  • Assess and mitigate risks to delivery, owning accountability for downstream business impacts
  • Promote high-quality experimentation, modeling, and evaluation standards, with an emphasis on reliability and product value
  • Develop lightweight but effective team processes to support fast iteration and scalable AI delivery
  • Conduct performance reviews, coach team members, and support career growth planning for direct reports
  • Contribute to hiring and onboarding efforts for the team

Qualifications:

  • Master's degree or equivalent experience in a technical field (e.g., Computer Science, Mathematics, Physics, Data Science, etc.)
  • Minimum 2 years of management experience, plus minimum of 6 years of experience in a Data Science role, or a related role in a technology environment
  • Strong strategic thinking and project management skills, including priority and dependency management across several large projects with multiple stakeholders
  • Strong organizational and leadership skills, able to exercise judgment to make tradeoffs through cost-benefit analysis
  • Ability to translate complex concepts to both technical and non-technical stakeholders and drive alignment across Product, Engineering, and Data Science 
  • Proven ability to lead through ambiguity and move from 01 with new features or systems
  • Advanced knowledge of statistics and probability, particularly their application in model development
  • Intermediate to advanced experience in Data Manipulation Software (e.g. SQL, Python), cloud computing environments (e.g., AWS), and ML workflows or toolkits
  • Nice to have:
    • PhD in a technical field
    • Demonstrated experience in leading AI work, ideally including work with LLMs, embeddings, or ranking/recommender systems - with a successful track record of end-to-end implementation.
    • TV Media Industry or Ad Tech experience a plus

Benefits:

  • Competitive salary ($160,000 - $220,000/annually)
  • Equity compensation
  • Health insurance coverage for you and your dependents
  • 401K, FSA, and commuter benefits
  • $150 monthly spending account
  • $1,000 annual continued education benefit
  • $500 WFH reimbursement
  • Unlimited PTO and sick days
  • Monthly Company Wellness Day Off
  • Snacks, drinks, and catered lunches at the office
  • Team building events 
  • Hybrid RTO of 2 days per week. THIS IS AN IN-OFFICE POSITION

At Tatari, we believe in the importance of cultivating teams with diverse backgrounds and offering equal opportunities to all. We strive to create a welcoming, inclusive environment where every team member feels valued and diversity is celebrated.

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