Remote Junior Data Scientist Jobs in New York City

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.