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Data Science And Analytics Jobs (NOW HIRING)

Socket.dev

Data Science & Analytics Specialist

Bath, OH · On-site

$90 - $130/hr

Overview Apogee Engineering has a exciting position for a Data Science & Analytics Specialist that will provide data science and analytics support to help design, implement, and refine analytic ...

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Sonsoft Inc

Data Science Analytics

Seattle, WA · 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 · 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

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 · 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 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 · 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

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

Seattle, WA · On-site

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

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 ...

Clay Labs

Data Science & Analytics Manager

New York, NY · On-site

$240K - $300K/yr

DSA is a team of data scientists and analytics engineers that serves as the company's center of excellence for experimentation, metric design, insights, and data-driven decision-making across all ...

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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 Aug 23, 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 is 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 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.

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 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 can I do with data science and analytics?

Data science and analytics professionals analyze large datasets to extract insights, support decision-making, and improve business processes. They use tools like Python, R, and SQL, and often work in environments that require strong statistical and programming skills. These roles can lead to careers in industries such as finance, healthcare, marketing, and technology, with opportunities for advancement and specialization.

What jobs can I get with a data science and analytics degree?

A degree in data science and analytics can lead to roles such as data analyst, data scientist, business intelligence analyst, machine learning engineer, and data engineer. These positions typically require skills in programming languages like Python or R, data visualization tools, and statistical analysis, often with certifications or experience in big data platforms and SQL. Job responsibilities include interpreting complex data, building predictive models, and supporting data-driven decision-making.
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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 August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Science & Analytics Specialist

Apogee Engineering, LLC

Dayton, OH • On-site

Full-time

Posted 6 days ago

Job description

Overview
Apogee Engineering has a exciting position for a Data Science & Analytics Specialist that will provide data science and analytics support to help design, implement, and refine analytic workflows leveraging NASIC data within cloud and enterprise environments. Works under the guidance of senior engineers and analysts to enable IA/AI/ML-enabled mission workflows.
****Contingent Upon Contract Award****
Responsibilities
  • Assist in developing and refining analytic workflows that operate on large, complex NASIC datasets.
  • Support the preparation and transformation of data for IA/AI/ML and advanced analytics.
  • Help conduct quantitative analysis, exploratory data analysis, and basic modeling to support mission objectives.
  • Document analytic processes, data flows, and results in support of technical reports and briefings.
  • Collaborate with systems engineers, software engineers, and mission analysts to align analytics with operational use cases.

Qualifications
Minimum Experience:
Citizenship: Must be a US citizen
Clearance: Ability to obtain and maintain a TS/SCI security clearance.
Education / Years of Experience:
Additional Experience:
  • Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or related field, with at least two (2) years' related experience (may include applied research, internships, or professional work).
  • Experience using data analysis tools or languages (e.g., Python, R, SQL, or similar).
  • Ability to interpret quantitative results and communicate them clearly in written and verbal form.
  • Familiarity with basic data management and data quality concepts.

Preferred Qualifications:
  • Experience supporting IA/AI/ML model development, evaluation, or integration.
  • Familiarity with cloud-based data and analytics platforms.
  • Experience working with intelligence or operational datasets (simulated or real).

Additional Information
Location: Wright Patterson AFB Dayton, OH
On-site/Hybrid/Remote: On-site
Travel: Occasional

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