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Python Pandas Remote Jobs in New York (NOW HIRING)

NinjaOne

Tableau Analyst

New York, NY · On-site +1

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Experience with Python, pandas, Jupyter notebooks preferred. * High proficiency in SQL, including ...

Empassion

Senior Data Analyst (NYC Hybrid)

New York, NY · Remote

$88K - $111K/yr

Experience with statistical analysis software (Python/pandas, R, etc.) The compensation range ... We are a tech-enabled remote healthcare company. We value the impact and significance of all team ...

Zolve

Be Seen First

Data Science and Analytics Intern

Roseland, NJ · Remote

$15.92 - $17/hr

... Python, R, etc.) and data analysis libraries (Pandas, NumPy, SciPy, etc.). * Familiarity with data ... Remote work options are available. * You will receive mentorship and guidance from experienced ...

Serotonin

Blockchain, Data Analytics (Remote)

New York, NY · On-site +1

$80K - $150K/yr

Strong statistical analysis skills with hands-on experience using Python data science stack (pandas ... Remote Work Environment * Maternity/Paternity Leave $80,000 - $150,000 a year The salary range for ...

Serotonin

Blockchain, Data Analytics (Remote)

New York, NY · On-site +1

$80K - $150K/yr

Strong statistical analysis skills with hands-on experience using Python data science stack (pandas ... Remote Work Environment * Maternity/Paternity Leave $80,000 - $150,000 a year The salary range for ...

Brex

Data Analyst III

New York, NY · On-site +1

$114K - $142K/yr

As a perk, we also have up to four weeks per year of fully remote work! Responsibilities * Own the ... Proficiency in Python for data analysis, automation, and modeling (Pandas, NumPy, scikit-learn, or ...

Wand

Product Data Analyst

New York, NY · Remote

$145K - $175K/yr

Python for analysis -- pandas and statistical libraries; you don't freeze when the answer requires ... Experience building metrics frameworks or KPI hierarchies from scratch How we work Fully remote ...

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Python Pandas Remote information

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

To excel as a remote Python Pandas Data Analyst, you need strong proficiency in Python programming, advanced data manipulation skills with Pandas, and a solid understanding of statistics or data science principles, often backed by a relevant degree. Familiarity with tools like Jupyter Notebook, Git, SQL databases, and cloud data platforms is typically expected, along with certifications in data analysis or Python programming being advantageous. Excellent problem-solving, communication, and self-management skills help remote analysts collaborate effectively and deliver insights independently. These skills are vital for extracting and communicating actionable data insights while maintaining productivity and reliability in a remote work environment.

What are some common challenges faced by remote Python Pandas developers and how can they be addressed?

Remote Python Pandas developers often encounter challenges such as collaborating effectively with distributed teams, managing large datasets with limited local resources, and ensuring version control of data and code. To address these, it's helpful to establish clear communication channels (like Slack or Teams), utilize cloud-based data storage and computing platforms, and adopt collaborative tools like Git for code management. Regular virtual check-ins and thorough documentation also help maintain alignment and productivity in a remote setting.

What is the difference between Python Pandas Remote vs Data Analyst?

AspectPython Pandas RemoteData Analyst
Required SkillsPython, Pandas, SQL, data manipulationExcel, SQL, data visualization, basic programming
Work EnvironmentRemote, tech-focused companiesOffice or remote, various industries
CertificationsPython certifications, data analysis coursesData analysis, Excel, Tableau certifications
Industry UsageTech, finance, e-commerceFinance, marketing, healthcare

Python Pandas Remote roles focus on data manipulation using Python and Pandas, often in tech-driven environments. Data Analysts may use a broader set of tools like Excel and visualization software, working across various industries. While both roles involve data handling, Python Pandas Remote positions emphasize programming skills, whereas Data Analysts focus on interpreting data for business insights.

What are Python Pandas Remote jobs?

Python Pandas Remote jobs are positions that require expertise in the Pandas library, a powerful data analysis tool in Python, and allow employees to work from any location outside of a traditional office environment. These jobs often involve data cleaning, manipulation, and analysis tasks, with responsibilities ranging from building data pipelines to generating insights from large datasets. Remote Pandas roles are common in industries like finance, healthcare, technology, and research, where data-driven decisions are essential. They typically require strong programming skills, problem-solving ability, and experience with distributed team collaboration tools.
What are the most commonly searched types of Python Pandas jobs in New York? The most popular types of Python Pandas jobs in New York are:
What are popular job titles related to Python Pandas Remote jobs in New York? For Python Pandas Remote jobs in New York, the most frequently searched job titles are:
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What cities in New York are hiring for Python Pandas Remote jobs? Cities in New York with the most Python Pandas Remote job openings:
Python Pandas Remote jobs near you

Remote Machine Learning Engineer

Angenex

Jersey City, NJ • Remote

Other

Posted 13 days ago

Job description

Remote Machine Learning Engineer

Jersey City, NJ, United States

About the Job

We're seeking an outstanding ML Engineer to join our data team and help build out best-in-class machine learning solutions on our platform, powering innovative solutions in marketing & sales and commercial analytics.

Responsibilities

- Build and deploy the ML pipelines that power the company machine learning platform.

- Manage MLOps infrastructure to monitor and optimize models.

Qualifications

Experience:

1+ years of professional experience as a Machine Learning Engineer or production-focused Data Scientist.

Proficiency across topics in machine learning and statistics.

Fluency in Python coding as well as data manipulation (SQL, Spark, Pandas)

Broad familiarity with the Python ecosystem and common libraries including Scikit-Learn, XGBoost, PyTorch, Keras, Tensorflow, Pandas, and common ML cloud services.

Familiarity with CNNs, RNN, LSTMs, and the latest research trends.

Experience implementing, deploying, and maintaining production machine learning systems.

Experience monitoring and optimizing model performance.

Experience with Linux, Docker and AWS, and basic development operations.

Advanced degree in computer science, mathematics, statistics or related area of study strongly preferred.

Apply