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Data Analyst Data Scientist Jobs (NOW HIRING)

Daikin

Data Scientist 1

Waller, TX

The Data Scientist role at its core links business strategy to the data. He/she will transform ... Analyze and discern campaign execution, targeting and optimization of marketing investment to ...

Victory

Data Scientist (Remote)

Austin, TX · Remote

About the Data Scientist position We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance. You ...

Elder Research

Data Scientist

Raleigh, NC · On-site

Data Scientist General Information Requisition # 694 Locations USA-VA-Arlington OR USA-NC-Raleigh ... The focus is on leveraging advanced analytical methods to turn ambiguous business challenges into ...

Programmers.io

Data Analyst/Data Modeler

Jersey City, NJ · On-site

Analyze existing data sources to identify data elements, relationships, and inconsistencies. Design ... Science, or Information Systems is required. Candidates should have at least 3 years of experience ...

Lincare Holdings, Inc.

Data Scientist

Clearwater, FL · On-site

Responsible for data analytics / data science on massive sets of complex and, sometimes ... unstructured data to prepare for statistical analysis. * Manipulates or converts data according to ...

Newton Research

Data Scientist

Boston, MA · On-site

The Data Scientist will be responsible for developing production-level data models and algorithms, analyzing data, designing experiments, and interpreting results. The role will also involve ...

Square Peg Technologies

Data Scientist

Washington, DC · On-site

Execute analytical experiments methodically to help solve various problems and make a true impact ... in data science * Proficiency in data mining, mathematics, and statistical analysis * Advanced ...

Daikin

Data Scientist 1

Waller, TX · On-site

The Data Scientist role at its core links business strategy to the data. He/she will transform ... Analyze and discern campaign execution, targeting and optimization of marketing investment to ...

Data Intelligence LLC

Senior Data Analyst

Quantico, VA

$91K - $114K/yr

The ideal candidate will bring deep expertise in data science methodologies, software integration, and scalable analytics architectures. Key Responsibilities * Develop, implement, and maintain ...

MORSE Corp

Data Scientist

Cambridge, MA · On-site

$90K - $210K/yr

MORSE is searching for an experienced Data Scientist with expertise in data analysis, data science, and algorithm development in one or more of a variety of fields including visual classification ...

Lincare

Data Scientist

Clearwater, FL

The Data Scientist is primarily responsible for supporting/leading AI-driven initiatives that will ... The individual will be conducting prescriptive,predictive and informational analytics to identify ...

Zenlaw

Data Scientist (Remote)

New York, NY · On-site +1

As a Data Scientist, you will be working with our engineering team to model complex problems and ... Run data analysis on our dataset to design potential rules for annotation. * Improve the ...

Sandhills Global, Inc.

Data Scientist

Lincoln, NE · On-site

Analyzing data that is collected in our current and future products and services, Develop ... The Data Scientist would need to be able to apply the data analysis, models, and software to the ...

Innotech

Data Scientist

Houston, TX

$12K - $78K/yr

We're seeking an experienced data scientist to deliver insights on a daily basis. The ideal ... Research and devise innovative statistical models for data analysis * Communicate findings to all ...

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Data Analyst Data Scientist information

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How much do data analyst data scientist jobs pay per year?

As of Jun 10, 2026, the average yearly pay for data analyst data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is the difference between Data Analyst Data Scientist vs Data Engineer?

AspectData AnalystData ScientistData Engineer
CredentialsBachelor's in Analytics, Statistics, or related fieldsBachelor's/Master's in Computer Science, Statistics, or related fieldsBachelor's/Master's in Computer Engineering, Software Engineering, or related fields
Work EnvironmentBusiness intelligence teams, reporting, data visualizationAdvanced analytics, machine learning, predictive modelingData infrastructure, pipelines, database management
Industry UsageCommon in finance, marketing, healthcareUsed in research, product development, AI projectsIntegral to data infrastructure across industries

Data Analysts focus on interpreting data and creating reports, while Data Scientists develop models and algorithms. Data Engineers build and maintain the data infrastructure that supports both roles. Understanding these differences helps organizations assign the right tasks to the right professionals.

What are some common challenges Data Analyst Data Scientists face when collaborating with cross-functional teams?

Data Analyst Data Scientists often work closely with stakeholders from various departments, such as marketing, product, and engineering. A common challenge is translating complex data findings into actionable insights that non-technical team members can easily understand. Additionally, aligning on project goals and managing expectations regarding timelines and data availability can require strong communication and project management skills. Building relationships and fostering open dialogue are key to ensuring successful collaboration and impactful data-driven decision-making.

What are the key skills and qualifications needed to thrive as a Data Analyst or Data Scientist, and why are they important?

To thrive as a Data Analyst or Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with tools like Python, R, SQL, machine learning frameworks, and data visualization platforms such as Tableau or Power BI is essential, along with relevant certifications. Excellent problem-solving, communication, and critical thinking skills help translate data insights into actionable business strategies. These skills and qualities are important because they enable professionals to extract meaningful insights from complex data, driving informed decision-making and organizational success.
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What cities are hiring for Data Analyst Data Scientist jobs? Cities with the most Data Analyst Data Scientist job openings:
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Data Analyst Data Scientist jobs near you
Infographic showing various Data Analyst Data Scientist job openings in the United States as of June 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Scientist, Marketing

Data Scientist, Marketing

Analytic Recruiting Inc.

Florham Park, NJ • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

A leading financial services organization is seeking an experienced Marketing Analytics / Data Scientist to support marketing and campaign analytics initiatives. This role blends technical expertise with business acumen to deliver actionable insights, optimize campaign performance, and elevate data capabilities across the enterprise.


Keywords: MMM, Financial Services, Data Science, Predictive Models


Responsibilities

  • Interpret business requirements and independently conduct analysis, build reports, and develop dashboards and models o support marketing and strategic initiatives.
  • Translate complex analytical findings into clear, compelling narratives for non-technical stakeholders and senior leadership.
  • Identify and recommend new data capabilities to support strategic goals; collaborate with data enablement teams to implement solutions.
  • Engage directly with business partners to understand data needs and respond to ad hoc requests.
  • Execute advanced data queries, reconcile datasets, and synthesize results into executive-level insights.
  • Champion a data-driven culture by mentoring analysts and enhancing data literacy across internal teams.


Qualifications

  • Master’s degree in a quantitative discipline (e.g., Statistics, Mathematics, Data Science, Economics).
  • Minimum 2 years of experience in a data analytics role within marketing of financial services, with hands-on expertise in large-scale data analysis and insight generation.
  • ALL: Campaign analytics, Digital Analytics; MMM and Reporting for financial services
  • Proficiency in data modeling, data engineering, and analytics tools including Power BI, SQL, and Python (pandas, numpy).
  • Experience developing models, reports and dashboards
  • Strong communication, organizational, and interpersonal skills, with the ability to manage multiple priorities.
  • Proven ability to extract key insights and present findings to business audiences.


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