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Immediately Hiring Data Science Jobs (NOW HIRING)

Data Science Manager

New York, NY ยท On-site

$160K - $220K/yr

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 ...

Data Science Manager

San Francisco, CA ยท On-site

$160K - $220K/yr

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 ...

Data Science Manager

New York, NY ยท On-site

$160K - $220K/yr

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 ...

About the Role We're hiring two Data Science Managers, each to lead a pod within Merchant Analytics and help shape high-priority product and business decisions. In this role, you will lead a team of ...

The company employs over 2,000 technologists, data scientists, and experts to develop, test, and ... We are committed to providing a fair and accessible hiring process. If you have a disability or ...

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 ...

Manager Data Science

Raleigh, NC ยท On-site

$115K - $192K/yr

The company employs over 2,000 technologists, data scientists, and experts to develop, test, and ... We are committed to providing a fair and accessible hiring process. If you have a disability or ...

Manager Data Science

Raleigh, NC ยท On-site

$115K - $192K/yr

The company employs over 2,000 technologists, data scientists, and experts to develop, test, and ... We are committed to providing a fair and accessible hiring process. If you have a disability or ...

Manager Data Science

Raleigh, NC ยท On-site

$115K - $192K/yr

The company employs over 2,000 technologists, data scientists, and experts to develop, test, and ... We are committed to providing a fair and accessible hiring process. If you have a disability or ...

About the team As a Manager of Data Science within Rentals Analytics, you'll lead a team at the ... Drive hiring strategy to build depth in experimentation, product analytics, and consumer modeling.

Build and scale the data science function, including hiring, onboarding, and managing direct reports as business needs evolve. Design and execute statistical modeling and experimentation, including ...

Build and scale the data science function, including hiring, onboarding, and managing direct reports as business needs evolve. Design and execute statistical modeling and experimentation, including ...

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Showing results 1-20

Immediately Hiring Data Science information

What are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in mathematics, statistics, and computer science, often supported by a relevant degree or certification. Familiarity with programming languages like Python or R, data visualization tools, and machine learning platforms is typically required. Strong problem-solving abilities, communication skills, and curiosity help distinguish top performers in this field. These skills are vital for extracting actionable insights from complex data sets and driving data-driven decision-making within organizations.

What does 'Immediately Hiring Data Science' mean?

'Immediately Hiring Data Science' refers to job postings where employers are urgently seeking candidates to fill data science positions as soon as possible. Data scientists analyze and interpret complex data to help organizations make informed decisions. These roles typically involve skills in statistics, programming, and machine learning. If a company is immediately hiring, it means the hiring process may move quickly, so candidates should be prepared to apply and interview promptly.

What are some common challenges new data scientists face when joining a team, and how can they overcome them?

New data scientists often face challenges such as understanding legacy code, adapting to existing data infrastructure, and aligning their work with business objectives. It's important to communicate regularly with team members and stakeholders to clarify project goals and expectations. Taking time to familiarize yourself with the company's data sources and tools, as well as actively seeking feedback, can help ease the transition and accelerate your impact on the team.

What is the difference between Immediately Hiring Data Science vs Immediately Hiring Data Analyst?

AspectImmediately Hiring Data ScienceImmediately Hiring Data Analyst
Required CredentialsBachelor's or higher in Data Science, Computer Science, or related fields; knowledge of programming languages like Python or RBachelor's degree in Data Analysis, Statistics, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams in tech, finance, or healthcare industries; project-based tasksBusiness environments, often in finance, marketing, or operations; focus on reporting and data interpretation
Employer & Industry UsageUsed by companies seeking advanced data modeling and predictive analyticsUsed by organizations needing data reporting, dashboards, and basic analysis

Immediately Hiring Data Science roles typically require advanced technical skills and focus on predictive modeling and machine learning, while Data Analyst positions emphasize data reporting and visualization. Both roles are in high demand but serve different functions within organizations.

More about Immediately Hiring Data Science jobs
What cities are hiring for Immediately Hiring Data Science jobs? Cities with the most Immediately Hiring Data Science job openings:
What states have the most Immediately Hiring Data Science jobs? States with the most job openings for Immediately Hiring Data Science jobs include:
What job categories do people searching Immediately Hiring Data Science jobs look for? The top searched job categories for Immediately Hiring Data Science jobs are:
Infographic showing various Immediately Hiring Data Science job openings in the United States as of June 2026, with employment types broken down into 17% Internship, 50% Full Time, and 33% Contract. Highlights an 100% In-person job distribution.
Data Science Manager

Data Science Manager

Tatari

New York, NY โ€ข On-site

$160K - $220K/yr

Full-time

Medical, Retirement, PTO

Posted 13 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 0โ†’1 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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