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Data Science And Analytics Jobs (NOW HIRING)

Sonsoft Inc

Data Science Analytics

Seattle, WA

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

Sonsoft Inc

Data Science/Analytics

New York, NY · On-site

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

Sonsoft Inc

Data Science Analytics

Chicago, IL

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

Sonsoft Inc

Data Science/Analytics

Seattle, WA

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

Sonsoft Inc

Data Science Analytics

San Francisco, CA · On-site

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

Sonsoft Inc

Data Science/Analytics

Seattle, WA

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

Sonsoft Inc

Data Science Analytics

New York, NY · On-site

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

Sonsoft Inc

Data Science/Analytics

San Francisco, CA · On-site

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

Sonsoft Inc

Data Science/Analytics

Chicago, IL

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

OpenFX

Data Science & Analytics Lead

Miami, FL · On-site

Role Overview We are seeking a talented Data Science & Analytics Lead to build and lead our analytics function from the ground up. This role is crucial for establishing our core data infrastructure ...

INSPYR Solutions

Pega Data Science & Analytics

Merrifield, VA · On-site

$47K - $63K/yr

Pega Data Science & Analytics Location: Vienna, VA, Winchester, VA or Pensacola, FL (HYBRID) Duration: 6 months initial duration with possible extension Work Requirements: US Citizen or GC Holders ...

Adobe

Director, Data Science & Analytics

San Jose, CA · On-site

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 And Analytics information

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$37.5K

$122.7K

$196.5K

How much do data science and analytics jobs pay per year?

As of Jul 29, 2026, the average yearly pay for data science and analytics 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.

What work can I do with data science?

Data science and analytics professionals analyze data to uncover insights, build predictive models, and support decision-making across various industries. They work with tools like Python, R, and SQL, and often need skills in statistics, data visualization, and machine learning to perform tasks such as data cleaning, reporting, and developing algorithms.

Is 40 too late for data science?

Data science and analytics roles value skills and experience over age; many professionals transition into the field later in life. Gaining proficiency in programming languages like Python or R, and understanding data tools, can help offset age concerns. Continuous learning and relevant certifications can improve job prospects regardless of age.

What are data science and analytics jobs?

Data science and analytics jobs involve analyzing large datasets to extract insights, support decision-making, and solve business problems. These roles typically require skills in programming, statistics, and tools like Python, R, or SQL, and often involve creating reports or predictive models. Professionals in these fields work in various industries such as finance, healthcare, and technology, with responsibilities that include data cleaning, visualization, and modeling.

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

To thrive in Data Science and Analytics, you need strong skills in statistics, data manipulation, and programming, typically backed by a degree in computer science, mathematics, or a related field. Proficiency with tools like Python, R, SQL, and data visualization platforms such as Tableau, along with knowledge of machine learning frameworks, is highly valued. Strong problem-solving ability, critical thinking, and effective communication skills help translate complex data findings into actionable business insights. These skills are crucial for turning raw data into strategic decisions that drive organizational success.

What are Data Science and Analytics?

Data Science and Analytics refer to the fields that focus on extracting meaningful insights from large and complex data sets. Data Science combines statistics, computer science, and domain knowledge to analyze data, build predictive models, and support data-driven decision-making. Analytics, which is a core part of data science, involves examining data to discover trends, patterns, and correlations that can help organizations solve problems or improve processes. Professionals in these fields use tools such as Python, R, SQL, and machine learning algorithms to analyze data and communicate findings to stakeholders.

What can I do with a data science and analytics degree?

A data science and analytics degree prepares individuals for roles such as data analyst, data scientist, business intelligence analyst, or machine learning engineer. Graduates can work in industries like finance, healthcare, marketing, and technology, utilizing skills in programming, statistical analysis, and data visualization tools like Python, R, SQL, and Tableau.

What is the difference between Data Science And Analytics vs Data Analysis?

AspectData Science And AnalyticsData Analysis
Required SkillsStatistical modeling, programming, machine learningData cleaning, descriptive statistics, visualization
Work EnvironmentCross-functional teams, R&D, predictive modelingBusiness reporting, dashboards, ad hoc analysis
Tools & TechnologiesPython, R, SQL, Hadoop, SparkExcel, SQL, Tableau, Power BI
Industry UsageTech, finance, healthcare, marketingRetail, finance, healthcare, operations

Data Science And Analytics involves advanced techniques like machine learning and predictive modeling, often requiring programming skills. Data Analysis focuses on interpreting existing data through descriptive statistics and visualization for decision-making. Both roles are essential but differ in complexity and scope.

What are some common challenges faced by data science and analytics professionals when working with cross-functional teams?

Data science and analytics professionals often collaborate with colleagues from diverse backgrounds such as engineering, marketing, and business operations. One common challenge is translating complex analytical findings into actionable insights that non-technical stakeholders can easily understand. Additionally, aligning project objectives and timelines across teams can require strong communication and project management skills. Overcoming these challenges is essential for ensuring that data-driven solutions are effectively implemented and contribute to organizational goals.
More about Data Science And Analytics jobs
What cities are hiring for Data Science And Analytics jobs? Cities with the most Data Science And Analytics job openings:
What states have the most Data Science And Analytics jobs? States with the most job openings for Data Science And Analytics jobs include:
Data Science And Analytics jobs near you
Infographic showing various Data Science And Analytics job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Science Analytics

Sonsoft Inc

Seattle, WA

Full-time

Re-posted 13 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.
  • Travel may be required as per the job requirements.
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:-

  1. This is a Full-Time & Permanent job opportunity for you.
  2. Only US Citizen, Green Card Holder, GC-EAD, H4-EAD & L2-EAD can apply.
  3. No OPT-EAD, H1B & TN candidates, please.
  4. Please mention your Visa Status in your email or resume.

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

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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

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