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Data Science Analytics Jobs (NOW HIRING)

Analytics Knowledge - Clustering, Segmentation, Campaign Analytics, Loyalty Management, Forecasting. * Data Understanding of Sales, Inventory, Store, Product and Promotion Data. * Ability to ...

Analytics Knowledge - Clustering, Segmentation, Campaign Analytics, Loyalty Management, Forecasting * Data Understanding of Sales, Inventory, Store, Product and Promotion Data * Ability to translate ...

Analytics Knowledge - Clustering, Segmentation, Campaign Analytics, Loyalty Management, Forecasting * Data Understanding of Sales, Inventory, Store, Product and Promotion Data. * Ability to translate ...

Principal, Data Science & Analytics

Redmond, WA ยท On-site

$163K - $296K/yr

We are seeking a Principal, Data Science & Analytics for ecosystem data science to own cross product measurement strategy, partner across product and business teams, and uphold a high bar for metric ...

Senior Manager, Data Science & Analytics ZX Data Science & Analytics | US, Remote Zeta Global is looking for a seasoned, external client-engaging Senior Manager, Data Science & Analytics (individual ...

New

Director of Data Science & Analytics ** to be the analytical engine behind Firefly's creator growth strategy within the Creator org. You will work at the intersection of AI product, product marketing ...

We are seeking a world-class Director of Data Science & Analytics to be the analytical engine behind Firefly's creator growth strategy within the Creator org. You will work at the intersection of AI ...

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Data Science Analytics information

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$24

$54

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How much do data science analytics jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for data science analytics in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

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

To thrive in Data Science Analytics, a strong background in statistics, data modeling, and programming (often with a degree in computer science, mathematics, or a related field) is essential. Familiarity with tools such as Python, R, SQL, and data visualization platforms like Tableau or Power BI, as well as knowledge of machine learning libraries, is typically required. Critical thinking, problem-solving, and effective communication skills help professionals translate complex data insights into actionable business strategies. These competencies are crucial for extracting meaningful information from data and driving informed decision-making within organizations.

How do data science analytics professionals typically collaborate with other departments within an organization?

Data science analytics professionals often work closely with teams across the organization, such as marketing, finance, product development, and IT. Their role involves understanding business needs, gathering requirements, and translating complex data findings into actionable insights for non-technical stakeholders. Effective communication and teamwork are essential, as data scientists may participate in cross-functional meetings, present their analyses, and tailor their recommendations to support strategic decision-making. This collaborative approach not only enhances the impact of analytics projects but also fosters continuous learning and innovation within the organization.

What is data science analytics?

Data science analytics is the process of extracting insights and knowledge from data using statistical, mathematical, and computational techniques. It involves collecting, cleaning, analyzing, and visualizing data to help organizations make informed decisions. Professionals in this field use tools like Python, R, and SQL to interpret complex data sets, build predictive models, and identify trends or patterns. Data science analytics plays a key role in industries such as finance, healthcare, retail, and technology, enabling businesses to optimize operations and improve outcomes.

What is the difference between Data Science Analytics vs Data Analyst?

AspectData Science AnalyticsData Analyst
Required CredentialsDegree in Data Science, Statistics, or related fields; programming skillsDegree in Statistics, Mathematics, or related fields; proficiency in Excel and SQL
Work EnvironmentOften involves complex modeling, machine learning, and predictive analyticsFocuses on data cleaning, reporting, and visualization
Employer & Industry UsageTech companies, finance, healthcare, and research institutionsBusiness, marketing, finance, and operations across various industries

Data Science Analytics and Data Analysts both work with data, but Data Science Analytics typically involves advanced modeling and predictive techniques, while Data Analysts focus on data reporting and visualization. The roles often overlap, but Data Science Analytics requires more technical skills and a deeper understanding of algorithms.

What cities are hiring for Data Science Analytics jobs? Cities with the most Data Science Analytics job openings:
What are the most commonly searched types of Data Science Analytics jobs? The most popular types of Data Science Analytics jobs are:
What states have the most Data Science Analytics jobs? States with the most job openings for Data Science Analytics jobs include:
Infographic showing various Data Science Analytics job openings in the United States as of May 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.
Data Science/Analytics

Data Science/Analytics

Sonsoft Inc

San Francisco, CA โ€ข On-site

Full-time

Posted 15 days ago


Job description

Company Description

Sonsoft , Inc. is a USA based corporation duly organized under the laws of the Commonwealth of Georgia. Sonsoft Inc. is growing at a steady pace specializing in the fields of Software Development, Software Consultancy and Information Technology Enabled Services.

Job Description
  • Domain - Retail and/or CPG domain Knowledge.
  • Retail Execution - Demand Forecasting/Inventory Management/Supply Chain, CRM, Sales and Operation, Procurement.
  • Analytics Knowledge - Clustering, Segmentation, Campaign Analytics, Loyalty Management, Forecasting.
  • Data Understanding of Sales, Inventory, Store, Product and Promotion Data.
  • Ability to translate business requirement to analytical model.
  • Communicate directly with business users.
  • Technical Skills -SQL, Advanced Excel, R/SAS.

Nice to have Skill/Competency:

  • Hadoop, Spark, Python
  • Tableau/Spotfire/Qlikview
  • Nielsen/IRI/Market Research Data understanding

Job responsibilities:

  • Understand business requirement from client and translate it to appropriate Analytics use cases.
  • Work in a team environment to deliver analytics solution to client
  • Define new business metrics as required and build measurement systems as needed
  • Enjoy designing, develop and deploy state of the art, data-driven predictive models
  • Adept in quick starting optimization options to solve business problems using latest technologies in data mining and statistical modeling
  • Advise clients & internal teams on the right analytics algorithm, platforms and approaches to take in addressing complex, open-ended business problems
Qualifications
  • Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
  • At least 7 years of experience with Information Technology or Business Intelligence/Analytics consulting.
Additional Information


** U.S. Citizens and those who are authorized to work independently in the United States are encouraged to apply. We are unable to sponsor at this time.

Note:-

This is aย Full-Time & Permanent job opportunityย for you.

Onlyย US Citizen,ย Green Card Holder,ย GC-EAD,ย H4-EAD & L2-EADย can apply.

Noย OPT-EAD, H1B & TN candidatesย please.

Please mention yourย Visa Statusย in yourย emailย orย resume.

**ย All your information will be kept confidential according to EEO guidelines.


Sonsoft logo

About Sonsoft

Sourced by ZipRecruiter

Sonsoft , Inc. is a USA based corporation duly organized under the laws of the Commonwealth of Georgia. Sonsoft Inc. is growing at a steady pace specializing in the fields of Software Development, Software Consultancy and Information Technology Enabled Services.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Alpharetta, GA, US

Year founded

2007