Entry-Level Data Scientist

Description

Entry-Level Data Scientist – Remote Opportunity ($120,000 Annually)

Join a Purpose-Driven, Inclusive Workplace Where Your Voice Matters

Are you ready to launch your career as a Data Scientist in an environment that sees you as more than just a resume? This fully remote, full-time opportunity offers more than a job—it provides belonging. Here, your curiosity will be celebrated, your contributions valued, and your growth accelerated. We’re searching for an entry-level data enthusiast eager to transform raw data into powerful stories and actionable insights that make a real difference.

You’ll collaborate with a vibrant mix of individuals who believe in the magic of collaboration and the strength found in varied perspectives. If you're passionate about using data science to illuminate solutions and spark innovation, while being part of a people-first culture, we'd love to hear from you.

Key Responsibilities of a Remote Entry-Level Data Scientist

Data Exploration and Preparation

Collect and Structure Datasets

  • Collect, clean, and structure large datasets from multiple sources to support key business operations.
  • Use thoughtful data preprocessing methods to maintain consistency and enhance data quality.

Perform Exploratory Data Analysis

  • Apply foundational techniques in exploratory data analysis to uncover trends and anomalies.

Modeling and Analytical Tasks

Build Predictive Models

  • Build basic predictive models using statistical programming tools such as Python or R.
  • Perform clustering and classification to support data-driven business strategies.

Hypothesis Testing

  • Develop hypothesis-driven testing and A/B testing frameworks under the guidance of senior data scientists.

Communicating Data Insights

Translate Technical Analysis

  • Translate complex analyses into clear narratives using storytelling techniques and visualization tools like Tableau or Power BI.

Present Findings to Teams

  • Deliver insights through presentations and dashboards that support departments such as marketing, product, and customer experience.
  • Partner with stakeholders to refine models and drive informed decision-making across teams.

Collaborative and Inclusive Work Environment

Embracing a Culture of Belonging

Inclusive Culture That Welcomes All

We welcome diverse viewpoints and celebrate each individual's uniqueness. Our team includes former teachers, first-generation professionals, veterans, and international graduates. One of our newest hires, who transitioned from a career in teaching math in rural schools, shared how supported they felt during onboarding: “My ideas were heard from day one, and that confidence has kept growing.”

Teamwork and Communication

Expect open lines of communication, regular feedback, and shared wins. You’ll join daily syncs, weekly retrospectives, and team problem-solving sessions that promote learning and shared accountability. Teamwork means celebrating each other’s progress and offering help when needed.

Flexibility for Remote Success

Remote Work and Well-being

Whether working from a small apartment, a quiet coffee shop, or a vibrant co-working space, we encourage you to design a remote setup that fuels your productivity and peace of mind. We prioritize wellness through flexible hours, mental health days, and a culture that promotes boundaries and work-life harmony.

Tools and Technology for Modern Data Science

Essential Tools You’ll Use

Programming and Data Analysis

  • Python, R, and SQL for analysis and model development.
  • Pandas, NumPy, and Jupyter Notebooks for streamlined processing.

Data Visualization

  • Tableau, Power BI, and Matplotlib to bring your findings to life.

Collaboration and Version Control

  • Slack, Notion, and GitHub to stay connected and in sync with your remote team.

Whether experimenting with natural language processing or tweaking regression models, you’ll always have the support of tools and people who believe in your potential.

Qualifications for Entry-Level Data Scientist Candidates

Core Requirements

Academic and Technical Background

  • A bachelor’s degree in Data Science, Statistics, Computer Science, Applied Mathematics, or a related field.
  • I am familiar with programming in Python or R and have experience using SQL to query structured data.

Understanding of Key Concepts

  • Basic knowledge of core machine learning techniques like regression, classification, and clustering.
  • Ability to explain technical findings in plain language.

Preferred but Not Required

Extra Experiences That Help

  • Previous internship or academic project in data analytics or statistical modeling.
  • Experience working on cross-functional teams or remote collaboration.
  • Passion for using data to advocate for community impact or social innovation.

We recognize potential over pedigree. If you’re eager to grow into this role and passionate about learning, we want to support your path forward.

Career Growth and Mentorship for Emerging Talent

Learning and Development

Personalized Development Plans

As an entry-level data scientist in our team, your journey won’t just be about code—it’ll be about contribution. You’ll gain mentorship from seasoned professionals, access curated learning paths, and contribute to real-world projects that make an impact.

Continuous Support

You’ll join our peer mentorship program from your first week and receive individualized development plans tailored to your goals. We believe in learning by doing, supported by feedback that uplifts and challenges you.

Advancement Opportunities

Future Career Pathways

Whether you dream of becoming a machine learning engineer, a data product lead, or even a future team mentor, we’ll help you pursue that dream with opportunities, resources, and encouragement.

Be a Force for Positive Change Through Data

Drive Meaningful Outcomes

If you're passionate about ethical data use, inclusion, and building tools that serve real people, you're exactly who we're looking for. Your work will drive performance and influence how we support our customers, shape our products, and enrich the communities we serve.

Take the First Step Toward a Fulfilling Career

Apply Today to Start Your Remote Data Science Journey

This is your invitation to join a diverse team where your ideas matter and your growth is celebrated. If you’re excited to contribute to a culture built on trust, transparency, and transformation, while working remotely with autonomy and purpose, apply today.

Let’s turn data into action, and ideas into impact—together.