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Freelance Data Science Engineer Jobs in New York

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 ...

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 ...

Google

Data Engineer, GCS Data Science

New York, NY · On-site

$125K - $150K/yr

Experience working in a data science environment, supporting feature engineering and model automation needs. * Experience working with big data tools, distributed computing and non-relational ...

Gartner, Inc.

Director, Data Science

Stamford, CT · On-site

Collaborate with engineering, product, UX, and business leaders to prioritize ideas, launch MVPs, iterate rapidly, and deliver measurable business value. * Lead a team of data scientists, driving ...

Gartner

Director, Data Science

Stamford, CT · Remote

Collaborate with engineering, product, UX, and business leaders to prioritize ideas, launch MVPs, iterate rapidly, and deliver measurable business value. * Lead a team of data scientists, driving ...

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Freelance Data Science Engineer information

What is a freelance data science engineer?

A Freelance Data Science Engineer is a professional who works independently on a contract or project basis to help organizations analyze complex data, build data pipelines, and develop machine learning models. Unlike full-time employees, freelancers typically work with multiple clients, offering their expertise in data wrangling, statistical analysis, and algorithm development as needed. They may assist with everything from data preprocessing to deploying data-driven solutions, often working remotely and with flexible schedules.

What are some common challenges faced by freelance data science engineers when managing multiple client projects simultaneously?

Freelance data science engineers often juggle several projects at once, which can make time management and prioritization particularly challenging. Balancing diverse client expectations, shifting project scopes, and overlapping deadlines requires strong organizational skills and clear communication. Additionally, freelancers must ensure data security and confidentiality across different clients, adapting to various data infrastructures and collaboration tools. Building a structured workflow and setting realistic timelines are key strategies to handle these challenges effectively.

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

To thrive as a Freelance Data Science Engineer, you need a solid background in statistics, programming (typically Python or R), and data analysis, often supported by a relevant degree or equivalent experience. Familiarity with machine learning libraries (like TensorFlow or scikit-learn), cloud platforms (such as AWS or GCP), and data visualization tools is highly valuable. Strong communication, project management, and problem-solving skills set top freelancers apart by enabling effective client collaboration and clear presentation of findings. These competencies are crucial for delivering actionable insights, managing diverse projects independently, and building lasting client relationships.

What is the difference between Freelance Data Science Engineer vs Data Analyst?

AspectFreelance Data Science EngineerData Analyst
CredentialsTypically requires a degree in data science, computer science, or related fields; certifications like Python, R, or cloud platforms are commonUsually holds a degree in statistics, mathematics, or related fields; certifications may include Excel, SQL, or Tableau
Work EnvironmentIndependent, project-based work often remote; collaborates with clients across industriesOften employed within organizations or agencies; may work on ongoing internal projects
Industry UsageCommonly hired for complex data modeling, machine learning, and predictive analytics projectsFocuses on data reporting, visualization, and basic analysis to support business decisions

While both roles involve working with data, Freelance Data Science Engineers typically handle advanced analytics and machine learning projects independently, whereas Data Analysts focus on interpreting data through reports and visualizations within organizations.

What are the most commonly searched types of Data Science Engineer jobs in New York?

The most popular types of Data Science Engineer jobs in New York are:

What cities in New York are hiring for Freelance Data Science Engineer jobs?

Cities in New York with the most Freelance Data Science Engineer job openings:

Freelance Data Science Engineer jobs near you

Senior Data Science Engineer

RIT Solutions, Inc.

Manhattan, NY • On-site

$116K - $158K/yr

Full-time

Re-posted 3 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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