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Data Science Associate Jobs in Washington, NJ (NOW HIRING)

Pwc

Data Engineer - Senior Manager

Florham Park, NJ

$124K - $280K/yr

... Associate] is a plus - Designing and implementing thorough data architecture strategies ... Engineering, Data Science, and Data Governance - Architecting and implementing cloud-based ...

Pwc

Data Engineer - Senior Associate

Florham Park, NJ

$77K - $202K/yr

... and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

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All JobsData Science Associate JobsData Science Associate Jobs in Washington, NJ

Data Science Associate information

See Washington, NJ salary details

$55.7K

$65.9K

$125K

How much do data science associate jobs pay per year?

As of Jul 17, 2026, the average yearly pay for data science associate in Washington, NJ is $65,925.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,200.00 and $57,700.00 per year, depending on experience, location, and employer.

How does a Data Science Associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

Is 40 too late for data science?

Age is not a barrier to becoming a data science associate; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Is an Associates in data science worth it?

An associate's degree in data science can provide foundational skills in data analysis, programming, and statistics, which may help entry-level candidates qualify for junior data science roles. However, many employers prefer candidates with a bachelor's degree or higher, and practical experience or certifications in tools like Python, R, or SQL can enhance job prospects. The value depends on career goals and the specific requirements of potential employers.

What can I do with an associate's degree in data science?

A Data Science Associate with an associate's degree can work as a data analyst, supporting data collection, cleaning, and basic analysis using tools like Excel, SQL, and Python. They often assist in generating reports, visualizations, and insights under supervision, and may pursue certifications to enhance their skills for more advanced roles.

What are Data Science Associates?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What is the role of an associate data scientist?

An associate data scientist supports data analysis and modeling tasks by cleaning and processing data, developing algorithms, and creating visualizations. They often work under supervision to assist in building predictive models and may use tools like Python, R, or SQL to analyze data and generate insights.

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

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

What is the difference between Data Science Associate vs Data Analyst?

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What cities near Washington, NJ are hiring for Data Science Associate jobs? Cities near Washington, NJ with the most Data Science Associate job openings:
Data Science Associate jobs near you
Assistant/Associate Director, Technology & Student Life Data Analytics

Assistant/Associate Director, Technology & Student Life Data Analytics

Lafayette College

Easton, PA • On-site

Full-time

Re-posted 14 days ago

Job description

Description
The Assistant/Associate Director for Technology and Student Life Data Analytics serves as the primary architect for data integrity, systems management, and assessment reporting within the Gateway Career Center. While centrally embedded in the Career Center, this role serves as a divisional resource, providing data analytics, assessment support, and technical insights for the entire Division of Student Life. The Assistant/Associate Director bridges the gap between student engagement and data-driven decision-making, ensuring that both the Career Center and divisional partners can measure impact, identify trends, and optimize the student experience through technology.
Key Responsibilities
1. Career Center Data & Outcomes (Primary Focus)
• Outcomes Reporting: Lead the collection and analysis of First Destination Survey (FDS) data in accordance with NACE standards; manage the timeline with partners (e.g., Embark) to ensure high knowledge rates and 6-month reporting compliance.
• Performance Metrics: Generate routine and ad-hoc reports for the AVP on department activities (counseling, recruiting, engagement) for the Annual Report.
• Trend Analysis: Use quantitative and qualitative techniques to identify patterns in student career readiness and employer engagement, disseminating insights to internal and external stakeholders.
• Career Fair Operations: Lead the technical and logistical data flow for career fairs, including employer registration (TouchNet), CRM integration, and budget oversight.
2. Divisional Assessment & Data Analytics (Spoke Services)
• Divisional Resource: Serve as a subject matter expert for the Division of Student Life regarding assessment data, helping other departments design surveys and interpret metrics. Conduct 1-2 divisional data projects annually as schedule allows.
• Dashboard Development: Standardize and automate routine reports and dashboards for divisional leadership using SQL and BI tools (Tableau, Power BI).
• Data Governance: Establish and document data governance protocols and workflow standards across various platforms to ensure data integrity across the division.
• Strategic Recommendations: Review divisional processes to ensure technology systems support both Career Center missions and broader College-wide student success initiatives.
3. Technology Systems & Technical Support
• System Administration: Manage the maintenance and updates for core platforms including Handshake, Uconnect, and Ellucian CRM. Serve as the primary point of contact for CSM account representatives.
• Innovation & Research: Conduct research on new software products to justify recommendations and support purchasing efforts for the division; lead prototype testing and implementation.
• Staff Development: Serve as the primary technical support for Career Center staff; design and deliver training for new software and system updates.
• ITS Liaison: Act as the division's key point of contact with Information Technology Services (ITS) to ensure data security, system integration, and innovative technical practices.
Qualifications
• Education: Bachelor's degree required; Master's degree in Data Science, Higher Education Administration, Information Systems, or a related field preferred.
• Experience: 3-5 years of experience managing complex technology systems (e.g., Handshake, Symplicity, PeopleGrove, or Ellucian CRM).
• Technical Skills: * Proficiency in SQL and BI/Reporting tools (Tableau, Power BI).
o Advanced Microsoft Office Suite skills (Excel power user).
o Experience with data visualization and dashboard creation.
• Soft Skills:
o Exceptional ability to translate complex data into "plain English" for diverse stakeholders.
o Strong project management skills with the ability to lead initiatives independently.
o High degree of discretion and ability to handle confidential student information.
• Availability: Ability to work occasional evenings and weekends to support major events (e.g., Career Fairs, Divisional orientations).
Application Instructions
Please provide a cover letter, resume, and contact information for three references.

Apply