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Remote Data Science Jobs in Syosset, NY (NOW HIRING)

Mercor

Senior Data Scientist

New York, NY · Remote

$70 - $100/hr

Data Science Experts Type: Contract Compensation: $70-$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams on data science methodology ...

Aspect Software

Operations Data Scientist

Manhattan, NY · On-site +1

$115K - $120K/yr

US, Remote About Aspect Software: Aspect Software develops world-class Workforce Engagement ... Advanced degree in Analytics, Statistics, Data Science, or related field. 3+ years experience in ...

Mercor

Data Scientist - AI/ML Expert

New York, NY · Remote

$70 - $100/hr

Data Science Experts Type: Contract Compensation: $70-$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams on data science methodology ...

Mercor

Data Scientist | Upto $100/hr

New York, NY · Remote

$100/hr

Expert Professionals -- AI & Data Science Type: Contract Compensation: $70-$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to close ...

MM International

Data Scientist

New York, NY · Remote

Remote Duration 4-6 months The RBQM Data Scientist supports central monitoring and risk-based quality management (RBQM) for clinical trials. This role focuses on implementing and running pre-defined ...

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Remote Data Science information

What Are the Qualifications to Get a Remote Data Science Job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

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

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

More about Remote Data Science jobs
What job categories do people searching Remote Data Science jobs in Syosset, NY look for? The top searched job categories for Remote Data Science jobs in Syosset, NY are:
What cities near Syosset, NY are hiring for Remote Data Science jobs? Cities near Syosset, NY with the most Remote Data Science job openings:
Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Syosset, NY as of May 2026, with employment types broken down into 69% Full Time, 26% Part Time, and 5% Contract. Highlights an 36% Physical, 3% Hybrid, and 61% Remote job distribution.

Data Scientist | $100/hr Remote | Mercor

Crossing Hurdles

Manhattan, NY • Remote

$100/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Data Scientist | $100/hr Remote | Mercor Apply for the Data Scientist role at Crossing Hurdles. Base pay range $60.00/hr - $100.00/hr Organization: Mercor Position: Data Scientist Referral partner: Crossing Hurdles Type: Hourly Contract Compensation: $60‐$100/hour Location: Remote Duration: Approximately 2 months (extension feasible) Commitment: 10‐40 hours per week, fully asynchronous Role Responsibilities Focus on hands‐on data science tasks, such as designing experiments Gathering and preprocessing data Building and evaluating models, and collaborating closely with engineering teams to deploy production‐ready solutions Ensure output consistency and quality through collaboration with peers and feedback from reviewers Ideal Qualifications Have strong professional experience in data science or applied analytics. Skilled in Python and Jupyter notebooks.

Have experience using libraries including numpy, pandas, scipy, sympy, scikit‐learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows and model evaluation, feature engineering/data preprocessing/data wrangling, or A/B testing/experimentation/causal inference. Application Process Upload resume AI interview based on your resume (15 min) Seniority level Mid‐Senior level Employment type Contract Job function Analyst, Engineering, and Information Technology Industries Information Services #J-18808-Ljbffr

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