1

Applied Statistics Jobs Near Me

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Experience in applied statistics and uncertainty quantification, including model calibration and domain of validity. * Strong Python skills and experience with mainstream Python-based ML frameworks ...

next page

Showing results 1-20

Applied Statistics information

See salary details

$40.5K

$83.7K

$117K

How much do applied statistics jobs pay per year?

As of Aug 26, 2026, the average yearly pay for applied statistics in the United States is $83,657.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $116,000.00 per year, depending on experience, location, and employer.

What cities are hiring for Applied Statistics jobs?

Cities with the most Applied Statistics job openings:

What states have the most Applied Statistics jobs?

States with the most job openings for Applied Statistics jobs include:

What are the most commonly searched types of Applied Statistics jobs?

The most popular types of Applied Statistics jobs are:

A map of the United States highlighting the number of Applied Statistics job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Applied Statistics job openings in each state, with California having the most at 2 and Hawaii the least at 0.

Applied ML Scientist - Chemistry

Jobtailor

Columbus, OH • On-site

$120 - $180/hr

Other

Posted 7 days ago


Job description

Responsibilities
  • Lead ML model development for prediction and optimization across chemistry, formulation, property, and process
  • Collaborate with R&D and manufacturing on problem framing
  • Curate and analyze chemical and experimental data
  • Develop and select input representations for raw materials, chemistry, and signal data
  • Select, train, and evaluate models across families such as regression, tree ensembles, Gaussian processes, neural networks
  • Quantify and calibrate model performance and uncertainty
Requirements
  • Bachelor’s degree in Computer Science, Data Science, Computational Chemistry, Cheminformatics, or a related field
  • 5+ years experience
  • Strong Python skills
  • Experience in applied statistics and uncertainty quantification
  • Domain knowledge in chemistry, preferably polymer chemistry
#J-18808-Ljbffr