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Phd In Statistics Jobs in New York (NOW HIRING)

Point72

Equity Quantitative Researcher

New York, NY

MS or PhD in physics, engineering, statistics, applied math, quantitative finance or other quantitative fields with a strong foundation in statistics * 1+ years of work experience in systematic alpha ...

Point72

Equity Quantitative Researcher

New York, NY · On-site

MS or PhD in physics, engineering, statistics, applied math, quantitative finance or other quantitative fields with a strong foundation in statistics * 1+ years of work experience in systematic alpha ...

Point72

Quantitative Researcher - Macro

New York, NY · On-site

$150K - $200K/yr

PhD in statistics or machine learning is a plus * Experience in quantitative trading, ideally in FX or futures * Experience with alpha research, portfolio construction and optimization * Experience ...

Point72

Quantitative Researcher - Macro

New York, NY · On-site

$150K - $200K/yr

PhD in statistics or machine learning is a plus * Experience in quantitative trading, ideally in FX or futures * Experience with alpha research, portfolio construction and optimization * Experience ...

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Phd In Statistics information

What is the difference between Phd In Statistics vs Data Scientist?

AspectPhd In StatisticsData Scientist
Required CredentialsTypically a PhD in Statistics or related fieldOften a bachelor's or master's degree in a quantitative field; some roles prefer a PhD
Work EnvironmentAcademic, research institutions, or specialized analytics teamsCorporate, tech companies, or consulting firms
Industry UsageResearch, academia, government, and industry R&DBusiness analytics, product development, and data-driven decision making
Common Search & ComparisonYesYes

While a Phd In Statistics focuses on advanced research, theoretical development, and academic roles, Data Scientists apply statistical and machine learning techniques to solve practical business problems. Both roles require strong analytical skills, but Data Scientists often work in more applied, industry-focused environments, whereas PhD holders may pursue research or academic careers.

What can you do with a PhD in statistics?

A PhD in statistics prepares individuals for advanced roles in data analysis, research, and modeling across industries such as healthcare, finance, technology, and government. Graduates often work as data scientists, quantitative analysts, research scientists, or statisticians, utilizing skills in statistical software, programming, and data interpretation to solve complex problems. These roles typically require strong analytical abilities and knowledge of statistical methods and tools like R, Python, or SAS.

Is a PhD in statistics worth it?

A PhD in statistics can lead to advanced roles in research, data science, and academia, often requiring strong analytical and programming skills. While it offers high-level expertise and potential for higher salaries, it also involves significant time and financial investment, and job prospects depend on industry demand and individual specialization.
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Phd In Statistics jobs near you
Infographic showing various Phd In Statistics job openings in New York as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution.

Data Analyst (Part Time) in Jersey City, NJ 07311 (Hybrid)

Amicis Global

Jersey City, NJ • On-site

$42/hr

Contractor

Re-posted 11 days ago

Job description

My name is Stanley Solomon and I am with Veterans Sourcing Group, a professional services firm. I am contacting you to see if you, or possibly someone you know, might be interested in the position below. The fastest way to get in touch with me is to reply to this email.  
 
Title: Data Analyst (Part Time)
Location: Jersey City, NJ 07311 (Hybrid)
Duration: 10 Months
Pay Rate: $35.00 - $42.00/- on W2
 
 
Kindly share your most updated resume.
 
Roles and Responsibilities:
This part-time role offers hands-on experience in data processing, statistical modeling, and analytics within a collaborative and fast-paced environment.
You’ll contribute to real-world projects that drive decision-making and risk assessment across the organization.
Assist in data wrangling and preprocessing from diverse data sources
Support regression analysis and other statistical modeling techniques
Contribute to model development, validation, and testing
Create data visualizations to communicate insights effectively
Collaborate with team members on risk modeling initiatives
Document modeling processes and findings for internal reporting
Qualifications
Master or PhD in Statistics, Data Science, or related field
Strong foundation in statistical methods and data analysis
Experience with Python, R, or SQL preferred
Familiarity with data visualization tools (e.g., plotly, matplotlib or others)
Excellent analytical, problem-solving, and communication skills
Ability to work independently and in a team setting
 
 

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