Remote Junior Data Scientist Jobs in New York City

Introduction to the Role

Begin your data science journey with an opportunity designed for growth, learning, and real-world impact. This remote Junior Data Scientist position in New York City offers a dynamic environment for early-career professionals passionate about leveraging data to drive informed decisions. If you're analytical, curious, and ready to contribute to projects that matter, this role is your ideal launchpad.

Key Responsibilities

• Assist in data preparation, cleaning, and exploratory analysis across multiple projects.
• Support senior data scientists in model development and validation
• Generate actionable insights from structured and unstructured datasets
• Develop clear visualizations and dashboards to communicate findings
• Collaborate with stakeholders across product, engineering, and business units
• Document analytical workflows and ensure reproducibility of experiments
• Support the continuous improvement of internal analytics tools and processes

Work Environment and Culture

Remote Collaboration and Support

As a remote-first team, we prioritize flexibility, clarity, and collaboration. You’ll join a distributed data team that values transparency and mentorship. Our culture encourages open discussion, knowledge sharing, and peer review. We take pride in nurturing a space where junior professionals can grow without barriers.

• Remote-friendly setup with asynchronous and real-time collaboration
• Weekly team syncs and peer learning opportunities
• Encouragement of diversity in ideas, backgrounds, and methodologies
• Inclusive communication style and respectful team interactions

Tools and Technologies

Analytical and Visualization Tools

You’ll work with industry-standard tools and platforms that empower your learning and productivity:

• Python (Pandas, NumPy, Scikit-learn, Matplotlib)
• SQL for data querying and analysis
• Git and version control tools for code collaboration
• Cloud-based platforms like Google BigQuery or AWS Redshift
• Jupyter Notebooks and Google Colab for experimentation and sharing
• BI tools such as Tableau or Looker for visualization

Required Qualifications

• Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field
• 0–2 years of experience in a data analysis or modeling role (internships welcome)
• Strong command of Python and SQL
• Familiarity with machine learning concepts and data wrangling techniques
• Ability to explain analytical outcomes in a concise, visual manner
• Comfortable working remotely and communicating across digital platforms

Preferred Qualities

• Self-starter with a proactive mindset
• Comfortable seeking feedback and iterating based on suggestions
• Exposure to version control systems and collaborative coding environments
• Demonstrated interest in domains like marketing analytics, product analysis, or operational research

Opportunities for Growth

Career Development and Mentorship

This is more than a job—it’s a stepping stone into the world of data science. We actively support learning and career development:

• Access to an annual education stipend for courses and certifications
• Opportunities to present findings to leadership and cross-functional teams
• Regular mentorship from experienced data scientists
• Clear paths to grow into intermediate and senior roles based on performance

Compensation and Benefits

• Annual salary of $108,199
• Flexible remote work structure with optional coworking stipend
• Comprehensive healthcare and wellness plans
• Paid time off and floating holidays
• Access to industry conferences, tools, and professional development

Why You Should Apply

If you're passionate about using data to make a difference, eager to learn, and ready to take ownership of small projects that ladder up to big-picture strategy, this role is for you. It provides real exposure to scalable projects, mentorship to refine your craft, and the chance to become a vital contributor within a collaborative team.

This position is ideal for candidates looking to begin a meaningful career in data science without compromising on flexibility, inclusion, or personal growth.

Call to Action

Take the first step in building a rewarding data science career. Apply now to join a forward-thinking team that values your curiosity, supports your ambition, and helps transform your potential into performance—all from the comfort of your home.