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Data Science Major Jobs (NOW HIRING)

... 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 ...

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in ... Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona ...

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in ... Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona ...

... next major era. We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work in a fast-paced environment with diverse data sets and technologies to build ...

Data Science Analyst

San Francisco, CA · On-site

$70K - $85K/yr

... next major era. We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work in a fast-paced environment with diverse data sets and technologies to build ...

Data Science Analyst

New York, NY · On-site

$70K - $85K/yr

... next major era. We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work in a fast-paced environment with diverse data sets and technologies to build ...

Data Science Analyst

Los Angeles, CA · On-site

$70K - $85K/yr

... next major era. We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work in a fast-paced environment with diverse data sets and technologies to build ...

Data Science Analyst

San Francisco, CA · On-site

$70K - $85K/yr

... next major era. We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work in a fast-paced environment with diverse data sets and technologies to build ...

... next major era. We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work in a fast-paced environment with diverse data sets and technologies to build ...

Manager, Data Science

San Francisco, CA · On-site

$221K - $320K/yr

Role We're looking for a Manager, Data Science to lead a high-impact team working on core ... Drive analytical strategy for major product and business investments, helping teams understand ...

Major Activities * Strategic Thought Partnership * Design and execute analytics projects to ... Manage a team of data scientists * Mentor analysts regarding analytics best practices ...

This is a full-time position About the Team The Data Science team provides critical insights and ... Help identify and build major components of complex machine learning models * Judiciously evaluate ...

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Data Science Major information

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

To thrive as a Data Science Major, you need a solid understanding of mathematics, statistics, and programming languages such as Python or R, typically backed by coursework or a related degree. Familiarity with data analysis tools, machine learning libraries, and platforms like SQL, TensorFlow, or Jupyter Notebook is also important. Critical thinking, effective communication, and problem-solving skills help you interpret data insights and collaborate on projects. These competencies enable you to extract meaningful information from data, drive decision-making, and succeed in a data-driven environment.

What is a Data Science major?

A Data Science major is an academic program that focuses on teaching students how to collect, analyze, and interpret large sets of data to solve real-world problems. It combines coursework in statistics, computer science, mathematics, and domain-specific knowledge to prepare graduates for roles in various industries such as technology, healthcare, finance, and more. Students learn programming languages like Python or R, machine learning techniques, and data visualization skills. The major often includes hands-on projects and internships to provide practical experience in analyzing and extracting insights from data.

What jobs can I get if I study data science?

A data science major can qualify for roles such as data analyst, data scientist, machine learning engineer, business intelligence analyst, and data engineer. These positions typically require skills in programming languages like Python or R, statistical analysis, and experience with data visualization tools and databases.

What types of projects or problems do Data Science majors typically work on during internships or entry-level roles?

Data Science majors in internships or entry-level positions often collaborate on projects involving data cleaning, exploratory data analysis, and building predictive models. They might work with real-world datasets to identify trends, automate reporting, or support business decision-making with data-driven insights. These roles typically require teamwork with software engineers, business analysts, and domain experts, offering valuable opportunities to apply classroom knowledge to practical challenges and to develop skills in popular tools like Python, R, and SQL.

What jobs can you do with data science?

Data science majors can pursue roles such as data analyst, data scientist, machine learning engineer, business intelligence analyst, and data engineer. These positions typically require skills in programming, statistical analysis, and data visualization tools like Python, R, SQL, and Tableau, often with relevant certifications or advanced degrees.

What kind of job can you get with a data science degree?

A data science major can pursue roles such as data analyst, data scientist, machine learning engineer, or business intelligence analyst. These positions typically require skills in programming languages like Python or R, statistical analysis, and data visualization tools, often within technology, finance, healthcare, or marketing industries.

What is the difference between Data Science Major vs Data Analyst?

AspectData Science MajorData Analyst
Required CredentialsDegree in Data Science, Computer Science, or related fieldsDegree in Statistics, Mathematics, or related fields
Work EnvironmentResearch, development, and complex data modelingData interpretation, reporting, and visualization
Industry UsageTech companies, finance, healthcare, academiaBusiness, marketing, finance, healthcare
Common Search/ComparisonData Science Major vs Data Analyst

While both roles involve working with data, a Data Science Major typically prepares individuals for complex data modeling, machine learning, and research tasks. In contrast, a Data Analyst focuses on interpreting data, creating reports, and visualizations to support business decisions. The roles often overlap, but the Data Science Major emphasizes advanced analytics and programming skills, whereas Data Analysts concentrate on data interpretation and communication.

What are the careers in data science?

Careers in data science include roles such as data scientist, data analyst, machine learning engineer, and data engineer. These positions involve analyzing large datasets, developing models, and using tools like Python, R, and SQL to extract insights and support decision-making in various industries.
More about Data Science Major jobs
What cities are hiring for Data Science Major jobs? Cities with the most Data Science Major job openings:
What states have the most Data Science Major jobs? States with the most job openings for Data Science Major jobs include:
Data Science Manager

Data Science Manager

Tatari

New York, NY

$160K - $220K/yr

Other

Medical, Retirement, PTO

Posted 20 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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