ZipRecruiter

Log In

1

Data Scientist Data Jobs (NOW HIRING)

Soni Resources

Data Scientist

Conshohocken, PA · On-site +1

$175K/yr

Data Scientist (Data Science + Data Engineering) Location: Remote (Preference for Northeast/Mid-Atlantic; monthly travel to Plymouth Meeting, PA as needed) Our client is building a data-driven ...

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · On-site

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients. Adidev Technologies is a ...

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · Remote

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients. Adidev Technologies is a ...

Neara

Data Scientist

New York, NY · On-site

$160K - $190K/yr

Data Scientist As a Data Scientist, you will analyze a rich array of real-world data to inform our digital twin model of the electric grid, including topography, LIDAR, imagery, vegetation ...

Jobs in Your Community

Data Scientist

Suitland, MD · On-site

$143K/yr

This vacancy is being filled via the Direct-Hire Authority (DHA) for a Data Scientist position in the Associate Director for Decennial Census Programs located at the U.S. Census Bureau Headquarters ...

Pantheon Data

Data Scientist

Washington, DC · On-site

$80K - $150K/yr

Position Overview The Data Scientist designs and develops advanced analytical models to support descriptive, diagnostic, predictive, and prescriptive analytics initiatives. Responsibilities * Build ...

Pantheon Data

Data Scientist

Washington, DC · On-site

$80K - $150K/yr

Position Overview The Data Scientist designs and develops advanced analytical models to support descriptive, diagnostic, predictive, and prescriptive analytics initiatives. Responsibilities * Build ...

Beth Page tech

Data Scientist

Houston, TX · On-site

Data Scientist Location: Houston, TX (Fulltime) Environment: Standard, 5-days onsite : Must-Have (Technical Expertise & Core Responsibilities) * Data Science & Machine Learning: * Strong foundation ...

Aivra Health LLC

Data Scientist

Chicago, IL · On-site

Data Scientist Location: New York, NY, USA (Hybrid/On-site/Remote) Job Type: Full-Time About the Role We are seeking a talented Data Scientist to analyze complex datasets, build predictive models ...

Innovizant LLC

Data Scientist

Madison, WI · On-site

Innovizant made up of exceptional data scientists and domain experts with a great experience in Our financial services industry solutions include Credit Risk insights, Customer Churn analysis ...

next page

Showing results 1-20

All JobsData Scientist Data Jobs

Data Scientist Data information

See salary details

$46K

$165K

$243.5K

How much do data scientist data jobs pay per year?

As of Jul 21, 2026, the average yearly pay for data scientist data 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 Scientist Data vs Data Analyst?

AspectData Scientist DataData Analyst
Required CredentialsDegree in Data Science, Statistics, or related fields; often includes certifications in machine learning or data analysis toolsDegree in Statistics, Mathematics, or related fields; certifications in data visualization or analysis tools are common
Work EnvironmentDevelops predictive models, advanced analytics, and machine learning algorithms; often in R&D or data science teamsPrepares reports, visualizations, and interprets data for business decisions; typically in business intelligence teams
Employer & Industry UsageUsed across tech, finance, healthcare, and e-commerce industries for complex data modelingCommon in retail, marketing, finance, and healthcare for reporting and data interpretation

While both roles analyze data, Data Scientist Data focuses on building predictive models and advanced analytics, whereas Data Analysts primarily interpret data and generate reports for decision-making. The roles often overlap but differ in complexity and scope.

What are some common challenges Data Scientists face when working with large datasets, and how can they be addressed?

Data Scientists often encounter challenges such as data quality issues, scalability concerns, and long processing times when working with large datasets. To address these, it's common to use distributed computing tools like Apache Spark or Hadoop, and to implement efficient data cleaning and preprocessing pipelines. Collaborating closely with data engineers can also help optimize data storage and retrieval. Additionally, adopting best practices in code versioning and documentation ensures that models and analyses are reproducible and scalable as data grows.

What are Data Scientists?

Data Scientists are professionals who analyze and interpret complex digital data to help organizations make informed decisions. They use a combination of statistics, machine learning, programming, and domain expertise to extract insights from large datasets. Data Scientists often work with tools such as Python, R, and SQL, and collaborate with teams to develop predictive models, visualize data, and solve business problems. Their work is crucial in fields like finance, healthcare, technology, and marketing.

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

To thrive as a Data Scientist, you need strong analytical skills, proficiency in statistics, and experience with data modeling, often supported by a degree in computer science, mathematics, or a related field. Familiarity with programming languages like Python or R, machine learning frameworks, and data visualization tools such as Tableau or Power BI is typically required. Strong problem-solving abilities, effective communication, and curiosity help a Data Scientist translate complex data into actionable insights. These skills are vital for extracting value from data, informing business decisions, and driving innovation within an organization.
More about Data Scientist Data jobs
What cities are hiring for Data Scientist Data jobs? Cities with the most Data Scientist Data job openings:
What states have the most Data Scientist Data jobs? States with the most job openings for Data Scientist Data jobs include:
What job categories do people searching Data Scientist Data jobs look for? The top searched job categories for Data Scientist Data jobs are:
Data Scientist Data jobs near you
Data Scientist

Data Scientist

Soni Resources

Conshohocken, PA • On-site, Remote

$175K/yr

Full-time

Posted 10 days ago

Job description

Data Scientist (Data Science + Data Engineering)
Location: Remote (Preference for Northeast/Mid-Atlantic; monthly travel to Plymouth Meeting, PA as needed)
Our client is building a data-driven culture where analytics, AI, and technology directly influence business decisions. They are seeking a Data Scientist who can translate complex business challenges into actionable insights while helping bring advanced analytics and machine learning solutions into production.
This role is ideal for someone who enjoys the full lifecycle of data science-from exploring data and building predictive models to partnering with engineering teams to deploy solutions that create measurable business value. The successful candidate will work closely with data engineers, business stakeholders, and executive leadership to help shape the future of analytics and AI across the organization.
While this is primarily a Data Science role, candidates should have a solid understanding of data engineering concepts and how models are operationalized within modern data ecosystems.
Responsibilities:
Data Science & Advanced Analytics
  • Analyze large and complex datasets to identify patterns, trends, and opportunities that support strategic business decisions.
  • Develop predictive models, scoring frameworks, and machine learning solutions that enhance business performance and decision-making.
  • Apply statistical and analytical techniques to solve real-world business problems and uncover actionable insights.
  • Continuously evaluate model effectiveness and recommend enhancements based on business outcomes and evolving data.
AI & Innovation
  • Contribute to the organization's growing AI strategy, including opportunities to leverage generative AI and emerging technologies.
  • Explore innovative approaches to automation, decision support, and workflow optimization through advanced analytics and AI solutions.
  • Partner with leadership to identify high-value use cases where AI can improve operational efficiency and decision quality.
Data Engineering Collaboration
  • Work closely with data engineering teams to ensure analytical solutions can be deployed, maintained, and scaled effectively.
  • Collaborate on the design and implementation of data pipelines that support machine learning and advanced analytics initiatives.
  • Help bridge the gap between model development and production deployment by ensuring solutions are practical, reliable, and business-ready.
  • Support efforts to improve data quality, accessibility, and governance across the organization.
Business Partnership
  • Engage directly with business stakeholders to understand challenges, define analytical approaches, and deliver impactful solutions.
  • Translate technical findings into clear, concise recommendations for both technical and non-technical audiences.
  • Serve as a trusted partner in helping business leaders make data-informed decisions.
Qualifications
Required
  • 3+ years of hands-on experience in Data Science, Analytics, Machine Learning, or a related quantitative field.
  • Proven experience developing predictive models or machine learning solutions in a business environment.
  • Strong proficiency in Python and modern data science libraries.
  • Advanced SQL skills and experience working with large-scale, complex datasets.
  • Experience applying statistical analysis and predictive modeling techniques to business problems.
  • Understanding of data engineering concepts, including data pipelines, model deployment, and production environments.
  • Experience working with cloud-based platforms such as Azure, AWS, or Google Cloud.
  • Strong communication and stakeholder management skills with the ability to explain technical concepts to business audiences.
Preferred
  • Experience collaborating closely with Data Engineering teams or supporting machine learning deployment initiatives.
  • Familiarity with distributed computing tools such as Spark or PySpark.
  • Experience developing AI-driven solutions, including Generative AI, Large Language Models (LLMs), or agent-based workflows.
  • Background in insurance, financial services, or other highly regulated industries.
  • Experience building production-grade machine learning applications.
  • Master's or PhD in Data Science, Statistics, Computer Science, Mathematics, Engineering, or a related quantitative discipline.

The ideal candidate:
  • Enjoys solving complex business problems through data.
  • Approaches challenges with curiosity and asks thoughtful questions.
  • Can balance analytical rigor with practical business impact.
  • Is comfortable working independently while collaborating across teams.
  • Takes ownership and drives projects from concept through implementation.
  • Learns new technologies and business domains quickly.
  • Values building solutions that can be used and adopted by the business-not just creating models.
Soni Resources logo

About Soni Resources

Sourced by ZipRecruiter

Soni is a premier staffing & recruitment company that is disrupting the human capital management space. Headquartered in New York, Soni has presence in 23 markets across the United States. We support each professional relationship with a cutting-edge approach, industry-leading insights, and a human touch. We are trusted to help companies and individuals tackle their challenges and capture their greatest opportunities. We are minority-owned, and diversity & inclusion is in our DNA. We are committed to creating environments where people are empowered to be their authentic selves.

Company size

11 - 50 Employees

Headquarters location

New York, NY, US

View All Soni Resources Jobs

Apply