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Data Science Analytics Jobs (NOW HIRING)

West Monroe

We are looking for a Data Science, Analytics, and Integration Director to join the CIO's leadership team and shape the next phase of our enterprise data, analytics, and integration capabilities and ...

Zeta Global

Senior Manager, Data Science & Analytics

$125K - $145K/yr

THE ROLE Zeta Global is looking for a seasoned, external client-engaging Senior Manager, Data Science & Analytics (individual contributor role) for its ZX Activation division. They will be ...

Blend

Data Science Manager

... Data Science Manager. The role involves leading client-facing incrementality testing and ... analytics. Responsibilities : • Lead client-facing incrementality testing and experimentation ...

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How much do data science analytics jobs pay per hour?

As of Jun 26, 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.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, human expertise remains essential for interpreting results, understanding context, and making nuanced judgments. Data analysts with skills in machine learning, programming, and data visualization are increasingly valuable in this evolving environment.

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 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 is the job of data science and analytics?

Data science and analytics involve collecting, processing, and analyzing large datasets to extract meaningful insights that support decision-making. Professionals in this field use statistical methods, programming tools like Python or R, and visualization techniques to identify trends, solve problems, and improve business outcomes.

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.

Is 40 too late for data science?

Data science analysts and professionals can enter the field at any age, including 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, as well as gaining experience through projects or certifications. Age is less important than skills, continuous learning, and adapting to industry changes.

What jobs can you get with data science and analytics?

Data science and analytics skills open opportunities for roles such as data analyst, data scientist, business intelligence analyst, machine learning engineer, and data engineer. These positions typically require proficiency in programming languages like Python or R, statistical analysis, and data visualization tools, often within technology, finance, healthcare, or marketing industries.
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What cities are hiring for Data Science Analytics jobs? Cities with the most Data Science Analytics job openings:
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What states have the most Data Science Analytics jobs? States with the most job openings for Data Science Analytics jobs include:
What job categories do people searching Data Science Analytics jobs look for? The top searched job categories for Data Science Analytics jobs are:
Data Science Analytics jobs near you
Infographic showing various Data Science Analytics job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 45% Full Time, 42% Part Time, 2% Temporary, and 10% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.
Senior/Manager Data Science & Analytics

Senior/Manager Data Science & Analytics

Two95 International Inc.

New York, NY • On-site

Contractor

Posted 9 hours ago

Job description

Job Title: Senior/Manager Data Science & Analytics
Location: New York, NY
Duration: 6 Months + Extension
No of positions: 2 (1 senior consultant and 1 Manager)
Requirements:
• 3+ years of experience with campaign targeting, segmentation, test design/learning plans, reporting and optimization of:
• CRM channels (email, Push Notifications)
• Engagement data (email opens/clicks, push notifications taps, web visits and clickstream)
• Account data (first and 3rd party), including demographics
• Transactional data (product registrations, eComm, offer redemption)
• Website/mobile (Adobe/Google Analytics)
• Data science language skills:
• SQL
• Data visualization: advanced Excel, Tableau, Power BI
• Does NOT need R, Python, Data modeling, Data mining, etc.
• Customer database experience will be very helpful
Note: If interested please send your updated resume and include your rate requirement along with your contact details with a suitable time when we can reach you. If you know of anyone in your sphere of contacts, who would be a perfect match for this job then, we would appreciate if you can forward this posting to them with a copy to us.
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About TWO95 International

Sourced by ZipRecruiter

At TWO95 International, we believe it is imperative that a hiring company is assured of procuring the right candidate to fill a job requirement. We have an extensive local and International network, and a fully digitalized sourcing approach that allows us to find a candidate best suited for the job. Furthermore, we strive to secure well matched opportunities that align with the personal and career aspirations of our candidates.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Cherry Hill, NJ, US

Year founded

2009

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