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Weekend Sas Data Scientist Jobs (NOW HIRING)

SAS, R, and/or Python Other Things We Look For: * Experience with cloud-based environments (e.g ... data science, quantitative marketing, operations research, industrial engineering, etc.

SAS, R, and/or Python Other Things We Look For: * Experience with cloud-based environments (e.g ... data science, quantitative marketing, operations research, industrial engineering, etc.

SAS, R, and/or Python Other Things We Look For: * Experience with cloud-based environments (e.g ... data science, quantitative marketing, operations research, industrial engineering, etc.

SAS, R, and/or Python Other Things We Look For: * Experience with cloud-based environments (e.g ... data science, quantitative marketing, operations research, industrial engineering, etc.

SAS Certified Data Scientist/SAS Certified Professional: AI and Machine Learning/SAS Certified Analytics Professional * IBM Data Science Professional Certificate * Or other comparable certification ...

SAS Certified Data Scientist/SAS Certified Professional: AI and Machine Learning/SAS Certified Analytics Professional * IBM Data Science Professional Certificate * Or other comparable certification ...

Python, R, SQL, SAS, NLTK, Scikit-Learn, Excel, Tableau, Power BI, and Jupyter; Basic data science concepts: probability, statistics, hypothesis testing, machine learning, natural language processing ...

Python, R, SQL, SAS, NLTK, Scikit-Learn, Excel, Tableau, Power BI, and Jupyter; Basic data science concepts: probability, statistics, hypothesis testing, machine learning, natural language processing ...

SAS, R, and/or Python Other Things We Look For: * Experience with cloud-based environments (e.g ... data science, quantitative marketing, operations research, industrial engineering, etc.

Our data science teams also embrace staying current with the evolving data science landscape ... SAS, R, and/or Python Other Things We Look For: * Experience with cloud-based environments (e.g ...

Python, R, SQL, SAS, NLTK, Scikit-Learn, Excel, Tableau, Power BI, and Jupyter; Basic data science concepts: probability, statistics, hypothesis testing, machine learning, natural language processing ...

Python, R, SQL, SAS, NLTK, Scikit-Learn, Excel, Tableau, Power BI, and Jupyter; Basic data science concepts: probability, statistics, hypothesis testing, machine learning, natural language processing ...

Python, R, SQL, SAS, NLTK, Scikit-Learn, Excel, Tableau, Power BI, and Jupyter; Basic data science concepts: probability, statistics, hypothesis testing, machine learning, natural language processing ...

Python, R, SQL, SAS, NLTK, Scikit-Learn, Excel, Tableau, Power BI, and Jupyter; Basic data science concepts: probability, statistics, hypothesis testing, machine learning, natural language processing ...

Python, R, SQL, SAS, NLTK, Scikit-Learn, Excel, Tableau, Power BI, and Jupyter; Basic data science concepts: probability, statistics, hypothesis testing, machine learning, natural language processing ...

Python, R, SQL, SAS, NLTK, Scikit-Learn, Excel, Tableau, Power BI, and Jupyter; Basic data science concepts: probability, statistics, hypothesis testing, machine learning, natural language processing ...

... SAS, R, SQL, DB2, GitHub, and Power BI . You do not need to be an expert in every technology listed. We're looking for strong data science fundamentals and the ability to learn and work across a ...

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$122.7K

$196.5K

How much do weekend sas data scientist jobs pay per year?

As of Sep 1, 2026, the average yearly pay for weekend sas data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

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Cities with the most Weekend Sas Data Scientist job openings:

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Infographic showing various Weekend Sas Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

The NPD Group, Inc.

Port Washington, NY • On-site

Full-time

Re-posted 16 days ago


Job description

Company Description
The world around us is changing. Retail is in a state of major transition, and consumers have more options than ever. As a leading provider of global information and advisory services, NPD is at the forefront of helping our clients, the world's biggest brands and retailers understand and profit from these changes.
Since 1966, we have been helping businesses track industry trends and understand their customers in order to get the right products in the right places for the right people at the right prices. We serve more than a dozen industries including consumer electronics, entertainment, fashion, food / foodservice, toys, video games, and more.
We want to lead manufacturers and retailers on collaborating via the effective use of our information in line reviews and joint business planning.
Job Description
NPD group is looking for a principal data scientist on both the engineering side and the analytics side of data science. This position resides in the Global Data Quality Management group. He or she will combine the skills to create new prototypes with the creativity and thoroughness to interrogate the most challenging questions about data quality, which is at the center of NPD's value creation for our clients. This is a leadership position and will require superior ability to quickly gather information and requirements from stakeholders, formulate solution, and implement the solution within the data quality groups. This position will interact frequently with senior leadership teams and will direct and manage the work of junior data scientists. Qualified candidates will have a strong academic background in mathematics, statistics, computer science, operational research, economics, and other highly quantitative disciplines, passion about data science and machine learning and experience with big data architecture and methods.
Overall Responsibilities:
  • Drive the creation of new data quality management capabilities that will bring significant operational efficiency.
  • Conceptualize, analyze and develop actionable recommendations best practices in data quality processes
  • Work with key stakeholders and understand their needs to develop new or improve existing solutions around data quality.
  • Manage data analysis to develop fact-based recommendations for innovation projects.
  • Work with cross-functional teams to develop ideas and execute business plans.
  • Remain current on new developments in data quality

Qualifications
  • 8+ years' experience in modeling and predictive analytics with experience working with recommendation engine
  • Excellent problem solving skills with the ability to design algorithms, which may include data profiling, clustering, anomaly detection, and predictive modeling methodologies
  • Strong skills in statistical analyses with abilities in advanced data management and statistical programming using SAS, R, and other languages
  • Familiarity with Agile methodology
  • Ability to work cross-functionally in a highly matrix driven organization under ambiguous circumstances
  • Broad understanding and experience of recommendation engine
  • Personal qualities desired: creativity, tenacity, curiosity, and passion for deep technical excellence
  • Advanced degree in a quantitative field (Statistics, Mathematics, Economics, etc.), PhD highly preferred.

Additional Information
*NPD is an EQUAL EMPLOYMENT OPPORTUNITY/AFFIRMATIVE ACTION EMPLOYER.
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