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Data Science Entry Level Remote Jobs in Manhattan, NY

Adidev Technologies Inc

Data Engineer

Jersey City, NJ · On-site +1

$125K - $150K/yr

You will work closely with data scientists, analysts, and software engineers to ensure data ... Flexible work hours and remote work options. * Opportunity to work with a talented and passionate ...

Inizio Evoke

Associate Project Manager

New York, NY · Remote

$65K/mo

This is an entry-level remote role. You Will: * Help to keep projects moving through the agency ... We value collaboration and diversity of thought and we rely on the power of behavioral science ...

BEOVEXIS

Junior Data Analyst (Remote)

New York, NY · Remote

About the job Juni or Data Analyst (Remote) As the Data Analyst for the Security Analytics ... This is an entry level role requiring the individual to have the aptitude to learn and to ...

Recidiviz

Data Analyst

New York, NY · On-site +1

$97K/yr

Remote, New York City, or Oakland, CA * Travel is encouraged approximately once every 6 months to ... Collaborating with our Product Management, Data Science, and Software Engineering teams to bring ...

C the Signs

AI Data Engineer

New York, NY · Remote

$117K - $140K/yr

Collaborate with data scientists and machine learning engineers to understand data requirements for ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

C the Signs

AI Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

Collaborate with data scientists and machine learning engineers to understand data requirements for ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Shaped

Senior Machine Learning Engineer

Brooklyn, NY · On-site +1

$130K - $200K/yr

We're remote but have an office in Brooklyn, New York. We are looking for a machine learning ... Bachelor's in computer science, data science or mathematics related field. Master's degree or PhD ...

TSMG

AI/ML Data Contributor

New York, NY · Remote

Participate in remote assignments or attend on-site sessions when required * Follow project ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

TSMG

AI/ML Data Contributor

New York, NY · Remote

Participate in remote assignments or attend on-site sessions when required * Follow project ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

Impiricus

Data Analyst

New York, NY · On-site +1

$85K - $95K/yr

Atlanta, GA | NYC, NY | Remote, USA Employment Type: Full-time, Salaried Who We Are Impiricus is ... how life sciences companies support physicians. We ethically connect HCPs to pharma resources ...

Uber Technologies, Inc.

Scientist II, Tech

New York, NY · On-site +1

About the role and team Working in Science at Uber means solving complex, real-world problems that ... You will be part of a team that turns massive amounts of data into actionable insights, influencing ...

Precision Technologies Corp

Data Engineer

Jersey City, NJ · Remote

$117K - $140K/yr

Remote, however travel might be required as per business requirements Where you're headed Laying ... Where you've been You have an advanced degree in computer science (or the equivalent) and a passion ...

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All JobsData Science JobsData Science Entry Level Remote JobsData Science Entry Level Remote Jobs in Manhattan, NY

Data Science Entry Level Remote information

What is a data science entry level remote job?

Data science entry level remote jobs are positions suitable for individuals who are just starting their careers in data science and prefer or require the flexibility to work from home or any location outside the traditional office setting. These roles typically involve tasks such as data cleaning, basic statistical analysis, creating simple data visualizations, and assisting with machine learning projects under supervision. Entry level data scientists often work closely with more experienced team members and use tools like Python, R, SQL, and Excel. Remote roles require good communication skills and self-motivation, as collaboration happens online. These positions are a great way to gain practical experience and develop technical skills in the field of data science.

What skills and qualifications are needed to thrive as an entry-level remote data scientist?

To thrive as an entry-level remote Data Scientist, you need a solid background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree or certification. Familiarity with tools like Jupyter Notebook, SQL databases, and machine learning libraries such as scikit-learn or TensorFlow is commonly required. Strong problem-solving abilities, communication skills, and self-motivation are crucial soft skills for remote collaboration and project management. These competencies enable effective data-driven insights, seamless teamwork, and measurable contributions in a distributed work environment.

What challenges do entry-level data scientists face when working remotely, and how can they overcome them?

Entry-level data scientists working remotely often encounter challenges such as limited access to mentorship, difficulty in collaborating on complex projects, and adjusting to asynchronous communication. To overcome these, it's important to proactively seek guidance from senior team members through regular check-ins, participate actively in team meetings and online forums, and document your work thoroughly for transparency. Leveraging collaborative tools like shared code repositories and communication platforms can also help maintain strong connections with your team and ensure project alignment.

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

AspectData Science Entry Level RemoteData Analyst Entry Level Remote
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentRemote, collaborative teams, often with cross-functional departmentsRemote, often working independently or with business teams
Employer & Industry UsageTech companies, finance, healthcare, e-commerceBusiness, marketing, finance, healthcare

While both roles are entry-level remote positions involving data, Data Science Entry Level Remote focuses on programming, machine learning, and predictive modeling, whereas Data Analyst Entry Level Remote emphasizes data visualization, reporting, and interpreting data for business insights. Candidates should choose based on their skills and career interests.

What are the most commonly searched types of Data Science Remote jobs in Manhattan, NY?

The most popular types of Data Science Remote jobs in Manhattan, NY are:

What are popular job titles related to Data Science Entry Level Remote jobs in Manhattan, NY?

For Data Science Entry Level Remote jobs in Manhattan, NY, the most frequently searched job titles are:

What job categories do people searching Data Science Entry Level Remote jobs in Manhattan, NY look for?

The top searched job categories for Data Science Entry Level Remote jobs in Manhattan, NY are:

What cities near Manhattan, NY are hiring for Data Science Entry Level Remote jobs?

Cities near Manhattan, NY with the most Data Science Entry Level Remote job openings:

Data Science Entry Level Remote jobs near you

AI Training Specialist - Life Sciences

micro1 AI

Newark, NJ • Remote

$90 - $120/hr

Part-time

Posted 22 days ago

Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.

Apply