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Science Engineer Jobs in New York (NOW HIRING)

RIT Solutions, Inc.

Senior Data Science Engineer

Manhattan, NY · On-site

$116K - $158K/yr

RIT Solutions, Inc. is seeking a Senior Data Science Engineer to join a high-impact AI engineering team responsible for delivering enterprise-scale machine learning and data science solutions. This ...

Verizon

Principal Data Science Engineer

Basking Ridge, NJ · On-site

$118K - $141K/yr

As a Principal Data Science Engineer, you will join the Verizon Consumer AI & Analytics team. In this role, you won't just process data; you will transform raw information into the strategic ...

3ds

Lead Data Science Engineer

New York, NY · On-site

$135K - $180K/yr

Apply advanced skills in data architecture, data science engineering, data modeling, and data quality using modern cloud-native technologies. * Develop ETL pipelines, working with vector databases ...

Medidata Solutions

Lead Data Science Engineer

New York, NY · On-site

$135K - $180K/yr

Apply advanced skills in data architecture, data science engineering, data modeling, and data quality using modern cloud-native technologies. * Develop ETL pipelines, working with vector databases ...

Deloitte

Lead Generative AI Data Engineer III

New York, NY · On-site

$112K - $147K/yr

Work You'll Do As a Lead AI and Data Science Engineer II on the team, you will be responsible for: * Lead the design, development, testing, and deployment of machine learning and artificial ...

Deloitte

Generative AI Data Engineer III

New York, NY · On-site

$125K - $150K/yr

Work you'll do As an AI and Data Science Engineer III on the team, you will be responsible for: * Design, build, test, and deploy machine learning and artificial intelligence solutions for business ...

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Science Engineer information

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

To thrive as a Science Engineer, you need a strong background in engineering principles, scientific analysis, and problem-solving, typically supported by a relevant engineering degree. Familiarity with technical tools such as CAD software, simulation programs, and data analysis platforms, as well as certifications like Professional Engineer (PE), are often required. Strong communication, teamwork, and critical thinking skills help distinguish top performers in this field. These competencies ensure innovative solutions, effective project execution, and collaboration across interdisciplinary teams.

What is a science engineer?

Science engineers are professionals who apply scientific principles and methods to solve technical problems and develop new technologies. They often work at the intersection of research and application, using their expertise in fields such as physics, chemistry, biology, or materials science to design innovative products, improve existing processes, and conduct experiments. Science engineers collaborate with researchers, engineers, and other specialists to translate scientific discoveries into practical solutions for industries like healthcare, energy, manufacturing, and environmental management.

What is the difference between Science Engineer vs Mechanical Engineer?

AspectScience EngineerMechanical Engineer
Required CredentialsBachelor's or higher in science or engineering fields, certifications varyBachelor's or higher in mechanical engineering, PE license optional
Work EnvironmentResearch labs, development centers, industrial settingsManufacturing plants, design offices, testing facilities
Employer & Industry UsageResearch institutions, tech companies, government agenciesManufacturing firms, automotive, aerospace, energy sectors
Common Search & ComparisonYesYes

Science Engineers focus on applying scientific principles to develop new technologies and conduct research, often working in labs or research centers. Mechanical Engineers design, analyze, and manufacture mechanical systems, working primarily in industrial and manufacturing environments. While both roles require engineering knowledge, Science Engineers emphasize scientific research, whereas Mechanical Engineers focus on practical system design and production.

What are some common challenges science engineers face when working on interdisciplinary teams?

Science Engineers often collaborate with professionals from diverse backgrounds, such as chemists, physicists, and computer scientists. One common challenge is bridging communication gaps due to different terminologies and approaches used in each discipline. Successfully navigating these differences requires strong interpersonal skills and a willingness to learn from team members. Adapting to varying project management styles and aligning on shared goals are also key aspects of effective interdisciplinary teamwork.
What are popular job titles related to Science Engineer jobs in New York? For Science Engineer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Science Engineer jobs in New York look for? The top searched job categories for Science Engineer jobs in New York are:
What cities in New York are hiring for Science Engineer jobs? Cities in New York with the most Science Engineer job openings:
Science Engineer jobs near you
Infographic showing various Science Engineer job openings in New York as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 21% Part Time, and 3% Contract. Highlights an 80% Physical, 3% Hybrid, and 17% Remote job distribution.

Senior Data Science Engineer

RIT Solutions, Inc.

Manhattan, NY • On-site

$116K - $158K/yr

Full-time

Re-posted 25 days ago

Job description

Job Summary:
RIT Solutions, Inc. is seeking a Senior Data Science Engineer to join a high-impact AI engineering team responsible for delivering enterprise-scale machine learning and data science solutions. This role focuses on building, deploying, and optimizing predictive and data-driven models within a cloud-based ecosystem while collaborating closely with engineering and business teams.
Responsibilities:
• Deliver end-to-end data science and machine learning solutions aligned with business objectives
• Implement full lifecycle data science workflows, including data preparation, modeling, deployment, and evaluation
• Develop predictive models, recommendation engines, and advanced analytics solutions
• Build and manage scalable ML workloads in cloud environments, preferably Google Cloud Platform (GCP)
• Utilize big data and orchestration tools such as BigQuery, Dataflow, Dataproc, AI Platform, and Airflow
• Collaborate with engineering and business stakeholders to translate requirements into scalable data science solutions
• Communicate technical insights and recommendations to both technical and non-technical audiences
• Evaluate and adopt new data science and machine learning techniques to drive innovation and efficiency
Qualifications:
Required:
• Master's or PhD in Computer Science, Statistics, Mathematics, or related field
• 10+ years of experience in data science, analytics, or related technical roles
• Proven track record delivering production-grade data science solutions with measurable business impact
• Strong programming expertise in Python
• Hands-on experience working with GCP services such as BigQuery, Dataflow, Dataproc, or similar cloud platforms
• Experience deploying machine learning models in scalable production environments
• Excellent communication and collaboration skills in enterprise environments
• Ability to work independently while collaborating across cross-functional teams
Company:
Jobdiva Job Portal: https://www1.jobdiva.com/candidates/myjobs/searchjobsdone.jsp?a=xbjdnwgjodtga1y1im2g881fkkeiwd0775lbvq8yqgps8vb2q36w2vj1ga6xxork&compid=-1 Recruitment (contingency search and campus selection). Founded in 2019, the company is headquartered in Arlington, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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