ZipRecruiter

Log In

1

Data Science Phd Jobs (NOW HIRING)

Magnite

Data Scientist (PhD)

New York, NY · On-site

$125K - $135K/yr

Data Scientist New York, NY Hybrid Schedule (M/F remote, T/W/TH in-office) At Magnite, we cultivate ... A PhD in a STEM field with a computational focus. (Both physical and social scientists are ...

Norstella

Director, Data Science

Graduate degree (Master's or PhD) in Computer Science, Engineering, Statistics, or a related quantitative discipline, or equivalent professional experience * Strong command of Python and core data ...

Magnite

Data Scientist (PhD)

New York, NY · Hybrid

$125K - $135K/yr

Data Scientist New York, NY Hybrid Schedule (M/F remote, T/W/TH in-office) At Magnite, we cultivate ... A PhD in a STEM field with a computational focus. (Both physical and social scientists are ...

Formation Bio

Director, Data Science

Boston, NY · On-site

$235K - $307K/yr

About the Position As the Director of Data Science at Formation Bio, you will be at the forefront ... PhD in computational sciences or life sciences * 7+ years of post-academic experience in life ...

BranchLab

Manager of Data Science

Boulder, CO · On-site

$160K - $215K/yr

... PhD in Data Science, Computer Science, Statistics, Applied Mathematics, Epidemiology, or related field (or equivalent practical experience) • 7+ years of experience building machine learning or ...

Gartner

Director, Data Science

Arlington, VA · Remote

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... Master's Degree or PhD in a quantitative field (math, computer science, engineering, etc.) required.

Gartner

Director, Data Science

Irving, TX · Remote

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... Master's Degree or PhD in a quantitative field (math, computer science, engineering, etc.) required.

Gartner

Director, Data Science

Stamford, CT · Remote

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... Master's Degree or PhD in a quantitative field (math, computer science, engineering, etc.) required.

Gartner, Inc.

Director, Data Science

Stamford, CT · On-site

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... Master's Degree or PhD in a quantitative field (math, computer science, engineering, etc.) required.

LexisNexis

Manager Data Science

Raleigh, NC · On-site +1

As a Manager, Data Science, you will become a subject matter expert, defining projects and their ... PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field * 7-10+ ...

Gartner

Director, Data Science

Arlington, VA · Remote

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... Master's Degree or PhD in a quantitative field (math, computer science, engineering, etc.) required.

Gartner

Director, Data Science

Stamford, CT · Remote

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... Master's Degree or PhD in a quantitative field (math, computer science, engineering, etc.) required.

next page

Showing results 1-20

People also search for

All JobsData Science Phd Jobs

Data Science Phd information

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

To thrive as a Data Science PhD, you need advanced expertise in statistics, machine learning, data analysis, and a doctoral degree in a quantitative field. Proficiency in programming languages like Python or R, experience with big data frameworks (e.g., Spark, Hadoop), and familiarity with data visualization tools are typically required. Critical thinking, problem-solving, and strong communication skills help you translate complex data insights for diverse stakeholders. These skills are vital for driving innovative research, making data-driven decisions, and contributing impactful solutions in data-centric environments.

What are some common challenges faced by Data Science PhDs when transitioning from academia to industry roles?

Data Science PhDs often encounter challenges such as adapting to the faster pace and collaborative nature of industry projects compared to academic research. In industry, there is a greater emphasis on delivering practical solutions within tight deadlines and working closely with cross-functional teams like engineering and product management. Additionally, data science work in industry may require balancing technical rigor with business impact, often prioritizing actionable insights over exhaustive analysis. Building strong communication and stakeholder management skills can help ease this transition.

What is a Data Science PhD?

A Data Science PhD is a doctoral-level degree focused on advanced research in data science, which combines elements of statistics, computer science, and domain expertise. Students in a Data Science PhD program typically work on developing new methods for analyzing large datasets, creating machine learning algorithms, and addressing complex problems in areas such as artificial intelligence, data mining, and predictive analytics. Graduates are prepared for careers in academia, research, and industry, where they can lead data-driven projects and contribute to advancements in the field.
More about Data Science Phd jobs
What cities are hiring for Data Science Phd jobs? Cities with the most Data Science Phd job openings:
What are the most commonly searched types of Data Science Phd jobs? The most popular types of Data Science Phd jobs are:
What states have the most Data Science Phd jobs? States with the most job openings for Data Science Phd jobs include:
What job categories do people searching Data Science Phd jobs look for? The top searched job categories for Data Science Phd jobs are:
Data Science Phd jobs near you

Data Scientist (PhD)

Magnite

New York, NY • On-site

$125K - $135K/yr

Full-time

Medical, Life, Retirement

Posted 6 days ago

Job description

Data Scientist
New York, NY
Hybrid Schedule (M/F remote, T/W/TH in-office)
At Magnite, we cultivate an environment of continuous growth and collaboration. Our work impacts what millions of people read, watch, and buy, and we're looking for people to help us tackle that responsibility with creativity and focus. Magnite (NASDAQ: MGNI) is the world's largest independent sell-side advertising platform. Publishers use our technology to monetize their content across all screens and formats including CTV / streaming, online video, display, and audio. Our tech fuels billions of transactions per day!
In this role you will:
  • Transition from academia to industry.
  • Make sense of complex marketplace data at webscale and perform noncommoditized data work.
  • Develop scalable statistical algorithms and predictive models to support real-time decision making in a high frequency ad marketplace.
  • Collaborate cross functionally with product managers, and engineers to define KPI's, evaluate A/B tests, perform casual inference, and use data to inform product decisions.
  • Apply the creative problem solving skills you learned in academia to business problems.
  • Work in a collaborative team environment with high personal accountability.

We're looking for someone with:
  • Python fluency.
  • A PhD in a STEM field with a computational focus. (Both physical and social scientists are encouraged to apply.)
  • Mathematical and statistical fluency. (Should be comfortable with calculus, linear algebra, statistics, and numerical analysis.)
  • Familiarity with both llm's and classical machine learning techniques.
  • Excellent written and verbal communication skills.

In NY, the base salary range for this role is $125,000 - $135,000.
Actual compensation will be determined based on location, experience, skills, and internal equity.
This role is also eligible for:
  • Annual performance-based bonus
  • Equity (NASDAQ: MGNI)
  • Comprehensive benefits package

During the interview process, candidates will receive more specific information about the salary range applicable to their experience and location.
Perks and Benefits:
  • Comprehensive Healthcare Coverage from Day One
  • Generous Time Off
  • Holiday Breaks and Quarterly Wellness Days
  • Equity and Employee Stock Purchase Plan
  • Family-Focused Benefits and Parental Leave
  • 401k Retirement Savings Plan with Employer Match
  • Disability and Life Insurance
  • Cell Phone Subsidy
  • Monthly Fitness and Reimbursement

Career Growth:
We support internal mobility, skill development, and leadership pathways through structured career frameworks and learning programs.
Company Culture:
Magnite's culture is rooted in collaboration and connection, recognizing that both are essential to success. Our hybrid schedule includes two remote workdays (Monday and Friday) and three in-office days (Tuesday through Thursday), where employees can take advantage of catered lunches, beverages, snacks, training opportunities, and engaging office events that enhance the work experience. In addition, we support our team through meaningful benefits and programs, including community service and volunteer opportunities, company-matched charitable contributions, access to mental health resources, structured career development initiatives and growth frameworks, culture and inclusion programs, and our Bonusly peer-to-peer recognition platform.
About Us
The world's leading agencies and brands trust our platform to access brand-safe, high-quality ad inventory and execute billions of advertising transactions each month. Anchored in bustling New York City, sunny Los Angeles, mile-high Denver, historic London, and down under in Sydney, Magnite has offices across North America, EMEA, LATAM, and APAC.
Magnite is an Equal Opportunity Employer and does not discriminate against applicants due to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation or any other federal, state or local protected class.
Our Commitment: We aim to incorporate a wide range of voices into our Magnite culture, cultivating an environment where employees feel welcomed, cared for, and encouraged to freely share ideas. We are committed to employee growth, collaboration, inclusion, and innovation. We invest in Magnite's local communities. We seek talent from all backgrounds to champion corporate values of seeing the big picture and being catalysts of change.
Want to learn more about us?
Check out our blog for Magnite announcements and Ad Tech industry news!
Recruiting Agency Notice
Magnite does not accept agency resumes and is not responsible for any fees related to unsolicited resumes.

Apply