ZipRecruiter

Log In

1

Phd In Statistics Jobs (NOW HIRING)

Apex Informatics

Data Scientist

Pleasanton, CA · On-site

Experience manipulating data sets and building statistical models, has a Master's or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following ...

AstraZeneca

Statistical Science Director

Wilmington, DE · On-site

PhD in Statistics Join the team unlocking the power of what science can do. We are working towards treating, preventing, modifying and even curing some of the world's most complex diseases. Here we ...

AstraZeneca

Statistical Science Director

Wilmington, DE · On-site

PhD in Statistics Join the team unlocking the power of what science can do. We are working towards treating, preventing, modifying and even curing some of the world's most complex diseases. Here we ...

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

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 ...

Think Tank, Inc.

Statistician

Seattle, WA

PhD from an accredited college/university with a major related to the task order, with emphasis in statistics, mathematics, fisheries, ecology, or the natural sciences. Must have a strong ...

next page

Showing results 1-20

All JobsPhd In Statistics Jobs

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 is the highest paying job with a statistics degree?

The highest paying jobs with a statistics degree often include roles such as data scientist, quantitative analyst, or actuarial scientist, with salaries exceeding $100,000 annually. Senior positions in finance, technology, or consulting firms tend to offer the highest compensation, especially for those with advanced skills in machine learning, programming, and statistical modeling.

How much can you make with a PhD in statistics?

A PhD in statistics can lead to high-paying roles such as data scientist, quantitative analyst, or research scientist, with salaries typically ranging from $90,000 to over $150,000 annually depending on experience, industry, and location. Advanced skills in programming, statistical software, and data analysis increase earning potential in this field.

Is getting a PhD in statistics worth it?

A PhD in statistics prepares individuals for advanced research, academia, and data science roles that require deep analytical skills and expertise in statistical methods. It can lead to higher-level positions and increased earning potential but involves significant time and financial investment. The decision depends on career goals and the demand for specialized statistical knowledge in the desired industry.

What can I do with PhD in statistics?

A PhD in statistics qualifies individuals for advanced roles such as data scientist, quantitative analyst, biostatistician, or research scientist. These positions often involve data analysis, modeling, and interpretation using statistical software like R or SAS, and may require collaboration across industries such as healthcare, finance, or technology.
More about Phd In Statistics jobs
What cities are hiring for Phd In Statistics jobs? Cities with the most Phd In Statistics job openings:
What states have the most Phd In Statistics jobs? States with the most job openings for Phd In Statistics jobs include:
What job categories do people searching Phd In Statistics jobs look for? The top searched job categories for Phd In Statistics jobs are:
Phd In Statistics jobs near you

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

Amicis Global

Jersey City, NJ • On-site

$42/hr

Contractor

Re-posted 18 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
 
 

#CareerBuilder #Monster #Dice #Indeed #LinkedIn