ZipRecruiter

Log In

1

Science Engineer Jobs in New York (NOW HIRING)

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 ...

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 ...

ALICE + OLIVIA

Data Scientist

Manhattan, NY

Alice + Olivia is hiring a Decision Science Engineer to build, operationalize, and own predictive models that improve decision making across Planning, Merchandising/Buying, Customer 360, and ...

ALICE + OLIVIA

Data Scientist

Manhattan, NY · On-site +1

Alice + Olivia is hiring a Decision Science Engineer to build, operationalize, and own predictive models that improve decision making across Planning, Merchandising/Buying, Customer 360, and ...

Deloitte

Generative AI Data Engineer III

New York, NY

$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 ...

next page

Showing results 1-20

All JobsScience Engineer JobsScience Engineer Jobs in New York

Science Engineer information

What engineers make $200,000 a year?

Senior engineers in fields such as software, petroleum, aerospace, and electrical engineering can earn $200,000 or more annually, especially with extensive experience, advanced skills, and often in leadership or specialized roles. High-paying engineering positions typically require advanced degrees, certifications, and a strong track record of project management or technical expertise.

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 do science engineers do?

Science engineers apply principles from science and engineering to develop new technologies, improve processes, and solve technical problems. They often work in research and development environments, utilizing tools like laboratory equipment and computer modeling, and may require knowledge of specific scientific disciplines and engineering standards.

What engineers make $500,000 a year?

Highly experienced engineers in specialized fields such as petroleum engineering, aerospace engineering, or software engineering working in senior or executive roles can earn $500,000 or more annually. These positions often require advanced skills, extensive experience, and sometimes leadership responsibilities or working in high-paying industries like oil and gas, aerospace, or technology firms.

What jobs can you do with engineering science?

Engineering science graduates can pursue careers in research and development, systems engineering, quality assurance, and technical consulting. They often work in industries such as aerospace, automotive, energy, and manufacturing, utilizing skills in problem-solving, data analysis, and technical design. Certifications and proficiency with tools like CAD software or laboratory equipment can enhance job prospects.

What are science engineers?

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
Lead Data Science Engineer

Lead Data Science Engineer

Medidata Solutions

New York, NY • On-site

$135K - $180K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 27 days ago

Job description

Location: New York, Hybrid
Medidata follows a hybrid office policy in which employees who are hired for an in-person position are expected to work on site a certain number of days per week in accordance with Company policy.
About our Company:
Medidata is powering smarter treatments and healthier people through digital solutions to support clinical trials. Celebrating 25 years of ground-breaking technological innovation across more than 36,000 trials and 11 million patients, Medidata offers industry-leading expertise, analytics-powered insights, and one of the largest clinical trial data sets in the industry. More than 1 million users trust Medidata's seamless, end-to-end platform to improve patient experiences, accelerate clinical breakthroughs, and bring therapies to market faster. Discover more at www.medidata.com.
Our Team:
Medidata is looking for individuals who will help us tackle some of the most complex questions facing the industry today using our proprietary platform and advanced analytics. At Medidata, we never work alone. This role will partner heavily with all of the key stakeholder functions including product, delivery, data science, engineering, partnerships, and biostatistics. Successful Medidata AI candidates will be skilled in analytical/quantitative thinking, structured communication, and excited about building the next horizon of Medidata's mission to power smarter treatments and healthier people. You will be reporting to Director, Data Engineering.
Responsibilities:
  • 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, automation, and CI/CD using tools such as Python, SQL, and Git.
  • Established MCP governance standards for agent interactions, including authentication, authorization, audit logging, context management, and compliance controls.
  • Develop LLM applications using Retrieval-Augmented Generation (RAG) and support fine-tuning for domain-specific tasks.
  • Analyze and manipulate both structured and unstructured data sources, ensuring high data quality and readiness for downstream consumers.
  • Built agent-driven metadata management solutions to maintain data catalogs, business glossaries, lineage documentation, and governance policies.
  • Document and communicate technical work clearly to stakeholders at all levels, both technical and non-technical.
  • Collaborate effectively in Agile environments and cross-functional teams, building secure, scalable data pipelines into Snowflake from both on-premise and cloud-based sources.
Qualifications:
  • Bachelor's degree in a technical or scientific field, such as Statistics, Data Science, Computer Science, or similar
  • 7+ years of experience in roles such as Data Scientist or Data Engineer with a strong foundation in Enterprise Data Architecture and Engineering
  • Hands-on experience with tools and concepts such as Airflow, CDC, batch processing, and job scheduling.
  • Experienced in building scalable, cloud-native data pipelines using tools and services like Streamlit, Snowflake and containerization platforms like Docker/Kubernetes.
  • Proficient in Git/GitHub, GitHub Actions for CI/CD, and managing infrastructure as code using Terraform
  • Experience with clinical trial data is not required, but interest to learn and understand how these data improve medical research is paramount
  • Hands-on experience building high-throughput data pipelines across cloud platforms and MCP server environments. Proficient in implementing RAG architectures, vector databases, and low-latency retrieval layers.
  • Skilled in integrating AI/ML pipelines into production-grade data infrastructure while establishing MCP governance frameworks, including model access controls, context management policies, auditability, security standards, compliance monitoring, and lifecycle management to ensure secure, scalable, and responsible AI operations.
The salary range posted below refers only to positions that will be physically based in New York City. As with all roles, Medidata sets ranges based on a number of factors including function, level, candidate expertise and experience, and geographic location. Pay ranges for candidates in locations other than New York City, may differ based on the local market data in that region.
The salary range range for this position physically based in NYC/ NJ Metro Area is $135,000-$180,000.
Base pay is one part of the Total Rewards that Medidata provides to compensate and recognize employees for their work. Most sales positions are eligible for a commission on the terms of applicable plan documents, and many of Medidata's non-sales positions are eligible for annual bonuses. Medidata believes that benefits should connect you to the support you need when it matters most and provides best-in-class benefits, including medical, dental, life and disability insurance; 401(k) matching; flexible paid time off; and 10 paid holidays per year.
Equal Employment Opportunity:
In order to provide equal employment and advancement opportunities to all individuals, employment decisions at Medidata are based on merit, qualifications and abilities. Medidata is committed to a policy of non-discrimination and equal opportunity for all employees and qualified applicants without regard to race, color, religion, gender, sex (including pregnancy, childbirth or medical or common conditions related to pregnancy or childbirth), sexual orientation, gender identity, gender expression, marital status, familial status, national origin, ancestry, age, disability, veteran status, military service, application for military service, genetic information, receipt of free medical care, or any other characteristic protected under applicable law. Medidata will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.
Applications will be accepted on an ongoing basis until the position is filled.
#LI-Hybrid
#LI-MM1
Note: Please be on the lookout for job scams. Medidata recruiters will never ask applicants for monetary compensation, credit card, or banking details.

Apply